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select abs ( worst score - best score ) where worst score = 26 col : dance | best dancer(s) | best score | worst dancer(s) | worst score row 1 : cha cha | argo ader | 34 | henrik normann piret jarvis | 14 row 2 : waltz (international standard) | maarja-liis ilus | 36 | arne niit | 14 row 3 : rumba | argo ader | 40 | arne niit | 15 row 4 : quickstep | argo ader maarja-liis ilus | 40 | henrik normann piret jarvis | 16 row 5 : jive | argo ader | 32 | henrik normann | 24 row 6 : tango | maarja-liis ilus | 37 | erika salumae | 26 row 7 : paso doble | lauri pedaja | 36 | evelyn sepp | 28 row 8 : foxtrot | argo ader evelyn sepp | 34 | henrik normann | 25 row 9 : samba | maarja-liis ilus | 37 | henrik normann | 26 row 10 : showdance | argo adar maarja-liis ilus | 40 | none | none | col : "abs ( worst score - best score )" row 1 : abs ( worst score - best score ) row 2 : abs ( worst score - best score ) | select abs ( worst score - best score ) where worst score = 26 <table_name> : table \begin{tabular}{llllll}
\toprule
& dance & best dancer(s) & best score & worst dancer(s) & worst score \\
\midrule
0 & cha cha & argo ader & 34 & henrik normann piret jarvis & 14 \\
1 & waltz (international standard) & maarja-liis ilus & 36 & arne niit & 14 \\
2 & rumba & argo ader & 40 & arne niit & 15 \\
3 & quickstep & argo ader maarja-liis ilus & 40 & henrik normann piret jarvis & 16 \\
4 & jive & argo ader & 32 & henrik normann & 24 \\
5 & tango & maarja-liis ilus & 37 & erika salumae & 26 \\
6 & paso doble & lauri pedaja & 36 & evelyn sepp & 28 \\
7 & foxtrot & argo ader evelyn sepp & 34 & henrik normann & 25 \\
8 & samba & maarja-liis ilus & 37 & henrik normann & 26 \\
9 & showdance & argo adar maarja-liis ilus & 40 & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "abs ( worst score - best score )" \\
\midrule
0 & abs ( worst score - best score ) \\
1 & abs ( worst score - best score ) \\
\bottomrule
\end{tabular}
| select abs ( worst score - best score ) where worst score = 26 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>dance</th>
<th>best dancer(s)</th>
<th>best score</th>
<th>worst dancer(s)</th>
<th>worst score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>cha cha</td>
<td>argo ader</td>
<td>34</td>
<td>henrik normann piret jarvis</td>
<td>14</td>
</tr>
<tr>
<th>1</th>
<td>waltz (international standard)</td>
<td>maarja-liis ilus</td>
<td>36</td>
<td>arne niit</td>
<td>14</td>
</tr>
<tr>
<th>2</th>
<td>rumba</td>
<td>argo ader</td>
<td>40</td>
<td>arne niit</td>
<td>15</td>
</tr>
<tr>
<th>3</th>
<td>quickstep</td>
<td>argo ader maarja-liis ilus</td>
<td>40</td>
<td>henrik normann piret jarvis</td>
<td>16</td>
</tr>
<tr>
<th>4</th>
<td>jive</td>
<td>argo ader</td>
<td>32</td>
<td>henrik normann</td>
<td>24</td>
</tr>
<tr>
<th>5</th>
<td>tango</td>
<td>maarja-liis ilus</td>
<td>37</td>
<td>erika salumae</td>
<td>26</td>
</tr>
<tr>
<th>6</th>
<td>paso doble</td>
<td>lauri pedaja</td>
<td>36</td>
<td>evelyn sepp</td>
<td>28</td>
</tr>
<tr>
<th>7</th>
<td>foxtrot</td>
<td>argo ader evelyn sepp</td>
<td>34</td>
<td>henrik normann</td>
<td>25</td>
</tr>
<tr>
<th>8</th>
<td>samba</td>
<td>maarja-liis ilus</td>
<td>37</td>
<td>henrik normann</td>
<td>26</td>
</tr>
<tr>
<th>9</th>
<td>showdance</td>
<td>argo adar maarja-liis ilus</td>
<td>40</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"abs ( worst score - best score )"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>abs ( worst score - best score )</td>
</tr>
<tr>
<th>1</th>
<td>abs ( worst score - best score )</td>
</tr>
</tbody>
</table> | select abs ( worst score - best score ) where worst score = 26 <table_name> : table | | dance | best dancer(s) | best score | worst dancer(s) | worst score |
|---:|:-------------------------------|:---------------------------|-------------:|:----------------------------|:--------------|
| 0 | cha cha | argo ader | 34 | henrik normann piret jarvis | 14 |
| 1 | waltz (international standard) | maarja-liis ilus | 36 | arne niit | 14 |
| 2 | rumba | argo ader | 40 | arne niit | 15 |
| 3 | quickstep | argo ader maarja-liis ilus | 40 | henrik normann piret jarvis | 16 |
| 4 | jive | argo ader | 32 | henrik normann | 24 |
| 5 | tango | maarja-liis ilus | 37 | erika salumae | 26 |
| 6 | paso doble | lauri pedaja | 36 | evelyn sepp | 28 |
| 7 | foxtrot | argo ader evelyn sepp | 34 | henrik normann | 25 |
| 8 | samba | maarja-liis ilus | 37 | henrik normann | 26 |
| 9 | showdance | argo adar maarja-liis ilus | 40 | none | none | | | | "abs ( worst score - best score )" |
|---:|:-------------------------------------|
| 0 | abs ( worst score - best score ) |
| 1 | abs ( worst score - best score ) | | [
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select count ( nation ) where nation = '0' col : rank | nation | gold | silver | bronze | total row 1 : 1 | chinese taipei (tpe) | 2 | 0 | 0 | 2 row 2 : 1 | russia (rus) | 2 | 0 | 0 | 2 row 3 : 3 | great britain (gbr) | 1 | 0 | 0 | 1 row 4 : 4 | slovakia (svk) | 0 | 2 | 2 | 4 row 5 : 5 | china (chn) | 0 | 2 | 1 | 3 row 6 : 6 | mexico (mex) | 0 | 1 | 1 | 2 row 7 : 7 | germany (ger) | 0 | 0 | 2 | 2 row 8 : 8 | south korea (kor) | 0 | 0 | 1 | 1 row 9 : 8 | switzerland (sui) | 0 | 0 | 1 | 1 row 10 : 8 | thailand (tha) | 0 | 0 | 1 | 1 row 11 : 8 | uzbekistan (uzb) | 0 | 0 | 1 | 1 | col : count ( "nation" ) row 1 : 0 | select count ( nation ) where nation = '0' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & chinese taipei (tpe) & 2 & 0 & 0 & 2 \\
1 & 1 & russia (rus) & 2 & 0 & 0 & 2 \\
2 & 3 & great britain (gbr) & 1 & 0 & 0 & 1 \\
3 & 4 & slovakia (svk) & 0 & 2 & 2 & 4 \\
4 & 5 & china (chn) & 0 & 2 & 1 & 3 \\
5 & 6 & mexico (mex) & 0 & 1 & 1 & 2 \\
6 & 7 & germany (ger) & 0 & 0 & 2 & 2 \\
7 & 8 & south korea (kor) & 0 & 0 & 1 & 1 \\
8 & 8 & switzerland (sui) & 0 & 0 & 1 & 1 \\
9 & 8 & thailand (tha) & 0 & 0 & 1 & 1 \\
10 & 8 & uzbekistan (uzb) & 0 & 0 & 1 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "nation" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( nation ) where nation = '0' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>chinese taipei (tpe)</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>russia (rus)</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>great britain (gbr)</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>slovakia (svk)</td>
<td>0</td>
<td>2</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>china (chn)</td>
<td>0</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>mexico (mex)</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>germany (ger)</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>south korea (kor)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>switzerland (sui)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>8</td>
<td>thailand (tha)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>10</th>
<td>8</td>
<td>uzbekistan (uzb)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "nation" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( nation ) where nation = '0' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|-------:|:---------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | chinese taipei (tpe) | 2 | 0 | 0 | 2 |
| 1 | 1 | russia (rus) | 2 | 0 | 0 | 2 |
| 2 | 3 | great britain (gbr) | 1 | 0 | 0 | 1 |
| 3 | 4 | slovakia (svk) | 0 | 2 | 2 | 4 |
| 4 | 5 | china (chn) | 0 | 2 | 1 | 3 |
| 5 | 6 | mexico (mex) | 0 | 1 | 1 | 2 |
| 6 | 7 | germany (ger) | 0 | 0 | 2 | 2 |
| 7 | 8 | south korea (kor) | 0 | 0 | 1 | 1 |
| 8 | 8 | switzerland (sui) | 0 | 0 | 1 | 1 |
| 9 | 8 | thailand (tha) | 0 | 0 | 1 | 1 |
| 10 | 8 | uzbekistan (uzb) | 0 | 0 | 1 | 1 | | | | count ( "nation" ) |
|---:|---------------------:|
| 0 | 0 | | [
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select event where year = 2007 col : year | competition | venue | position | event | notes row 1 : 2001 | beijing marathon | beijing, pr china | 7th | marathon | 2:10:46 row 2 : 2002 | beijing marathon | beijing, pr china | 1st | marathon | 2:13:09 row 3 : 2004 | olympic games | athens, greece | 31st | marathon | 2:19:26 row 4 : 2007 | xiamen international marathon | xiamen, pr china | 1st | marathon | 2:13:17 row 5 : 2007 | world championships | osaka, japan | 43rd | marathon | 2:32:44 row 6 : 2008 | olympic games | beijing, pr china | 51st | marathon | 2:24:08 | col : event row 1 : marathon row 2 : marathon | select event where year = 2007 <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & competition & venue & position & event & notes \\
\midrule
0 & 2001 & beijing marathon & beijing, pr china & 7th & marathon & 2:10:46 \\
1 & 2002 & beijing marathon & beijing, pr china & 1st & marathon & 2:13:09 \\
2 & 2004 & olympic games & athens, greece & 31st & marathon & 2:19:26 \\
3 & 2007 & xiamen international marathon & xiamen, pr china & 1st & marathon & 2:13:17 \\
4 & 2007 & world championships & osaka, japan & 43rd & marathon & 2:32:44 \\
5 & 2008 & olympic games & beijing, pr china & 51st & marathon & 2:24:08 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& event \\
\midrule
0 & marathon \\
1 & marathon \\
\bottomrule
\end{tabular}
| select event where year = 2007 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001</td>
<td>beijing marathon</td>
<td>beijing, pr china</td>
<td>7th</td>
<td>marathon</td>
<td>2:10:46</td>
</tr>
<tr>
<th>1</th>
<td>2002</td>
<td>beijing marathon</td>
<td>beijing, pr china</td>
<td>1st</td>
<td>marathon</td>
<td>2:13:09</td>
</tr>
<tr>
<th>2</th>
<td>2004</td>
<td>olympic games</td>
<td>athens, greece</td>
<td>31st</td>
<td>marathon</td>
<td>2:19:26</td>
</tr>
<tr>
<th>3</th>
<td>2007</td>
<td>xiamen international marathon</td>
<td>xiamen, pr china</td>
<td>1st</td>
<td>marathon</td>
<td>2:13:17</td>
</tr>
<tr>
<th>4</th>
<td>2007</td>
<td>world championships</td>
<td>osaka, japan</td>
<td>43rd</td>
<td>marathon</td>
<td>2:32:44</td>
</tr>
<tr>
<th>5</th>
<td>2008</td>
<td>olympic games</td>
<td>beijing, pr china</td>
<td>51st</td>
<td>marathon</td>
<td>2:24:08</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>event</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>marathon</td>
</tr>
<tr>
<th>1</th>
<td>marathon</td>
</tr>
</tbody>
</table> | select event where year = 2007 <table_name> : table | | year | competition | venue | position | event | notes |
|---:|-------:|:------------------------------|:------------------|:-----------|:---------|:--------|
| 0 | 2001 | beijing marathon | beijing, pr china | 7th | marathon | 2:10:46 |
| 1 | 2002 | beijing marathon | beijing, pr china | 1st | marathon | 2:13:09 |
| 2 | 2004 | olympic games | athens, greece | 31st | marathon | 2:19:26 |
| 3 | 2007 | xiamen international marathon | xiamen, pr china | 1st | marathon | 2:13:17 |
| 4 | 2007 | world championships | osaka, japan | 43rd | marathon | 2:32:44 |
| 5 | 2008 | olympic games | beijing, pr china | 51st | marathon | 2:24:08 | | | | event |
|---:|:---------|
| 0 | marathon |
| 1 | marathon | | [
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select maximum magnitude where star = 'omicron herculis' col : star | start year | end year | maximum year | maximum magnitude | distance at maximum (ly) | current distance | current magnitude row 1 : epsilon canis majoris | none | -4,460,000 | -4,700,000 | -3.99 | 34.0 | 430.0 | 1.5 row 2 : beta canis majoris | -4,460,000 | -3,700,000 | -4,420,000 | -3.65 | 37.0 | 500.0 | 1.99 row 3 : canopus (first time) | -3,700,000 | -1,370,000 | -3,110,000 | -1.86 | 177.0 | 310.0 | -0.72 row 4 : zeta sagittarii | -1,370,000 | -1,080,000 | -1,200,000 | -2.74 | 8.0 | 89.1 | 2.6 row 5 : zeta leporis | -1,080,000 | -950,000 | -1,050,000 | -2.05 | 5.3 | 70.0 | 3.55 row 6 : canopus (second time) | -950,000 | -420,000 | -950,000 | -1.09 | 252.0 | 310.0 | -0.72 row 7 : aldebaran | -420,000 | -210,000 | -320,000 | -1.54 | 21.5 | 65.0 | 0.85 row 8 : capella | -210,000 | -160,000 | -240,000 | -0.82 | 27.9 | 42.2 | 0.08 row 9 : canopus (third time) | -160,000 | -90,000 | -160,000 | -0.7 | 302.0 | 310.0 | -0.72 row 10 : sirius (current) | -90,000 | +210,000 | +60,000 | -1.64 | 7.8 | 8.6 | -1.46 row 11 : vega | +210,000 | +480,000 | +290,000 | -0.81 | 17.2 | 25.04 | 0.03 row 12 : canopus (fourth time) | +480,000 | +990,000 | +480,000 | -0.4 | 346.0 | 310.0 | -0.72 row 13 : beta aurigae | +990,000 | +1,150,000 | +1,190,000 | -0.4 | 28.5 | 82.1 | 1.9 row 14 : delta scuti | +1,150,000 | +1,330,000 | +1,250,000 | -1.84 | 9.2 | 187.0 | 4.72 row 15 : gamma draconis | +1,330,000 | +2,030,000 | +1,550,000 | -1.39 | 27.7 | 154.0 | 2.36 row 16 : upsilon librae | +2,030,000 | +2,670,000 | +2,290,000 | -0.46 | 30.0 | 195.0 | 3.6 row 17 : nr canis majoris | +2,670,000 | +3,050,000 | +2,870,000 | -0.88 | 14.0 | 280.0 | 5.6 row 18 : omicron herculis | +3,050,000 | +3,870,000 | +3,470,000 | -0.63 | 44.0 | 346.0 | 3.83 row 19 : beta cygni | +3,870,000 | none | +4,610,000 | -0.52 | 80.0 | 390.0 | 3.18 | col : max ( "maximum magnitude" ) row 1 : -0.63 | select maximum magnitude where star = 'omicron herculis' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& star & start year & end year & maximum year & maximum magnitude & distance at maximum (ly) & current distance & current magnitude \\
\midrule
0 & epsilon canis majoris & none & -4,460,000 & -4,700,000 & -3.99 & 34.0 & 430.0 & 1.5 \\
1 & beta canis majoris & -4,460,000 & -3,700,000 & -4,420,000 & -3.65 & 37.0 & 500.0 & 1.99 \\
2 & canopus (first time) & -3,700,000 & -1,370,000 & -3,110,000 & -1.86 & 177.0 & 310.0 & -0.72 \\
3 & zeta sagittarii & -1,370,000 & -1,080,000 & -1,200,000 & -2.74 & 8.0 & 89.1 & 2.6 \\
4 & zeta leporis & -1,080,000 & -950,000 & -1,050,000 & -2.05 & 5.3 & 70.0 & 3.55 \\
5 & canopus (second time) & -950,000 & -420,000 & -950,000 & -1.09 & 252.0 & 310.0 & -0.72 \\
6 & aldebaran & -420,000 & -210,000 & -320,000 & -1.54 & 21.5 & 65.0 & 0.85 \\
7 & capella & -210,000 & -160,000 & -240,000 & -0.82 & 27.9 & 42.2 & 0.08 \\
8 & canopus (third time) & -160,000 & -90,000 & -160,000 & -0.7 & 302.0 & 310.0 & -0.72 \\
9 & sirius (current) & -90,000 & +210,000 & +60,000 & -1.64 & 7.8 & 8.6 & -1.46 \\
10 & vega & +210,000 & +480,000 & +290,000 & -0.81 & 17.2 & 25.04 & 0.03 \\
11 & canopus (fourth time) & +480,000 & +990,000 & +480,000 & -0.4 & 346.0 & 310.0 & -0.72 \\
12 & beta aurigae & +990,000 & +1,150,000 & +1,190,000 & -0.4 & 28.5 & 82.1 & 1.9 \\
13 & delta scuti & +1,150,000 & +1,330,000 & +1,250,000 & -1.84 & 9.2 & 187.0 & 4.72 \\
14 & gamma draconis & +1,330,000 & +2,030,000 & +1,550,000 & -1.39 & 27.7 & 154.0 & 2.36 \\
15 & upsilon librae & +2,030,000 & +2,670,000 & +2,290,000 & -0.46 & 30.0 & 195.0 & 3.6 \\
16 & nr canis majoris & +2,670,000 & +3,050,000 & +2,870,000 & -0.88 & 14.0 & 280.0 & 5.6 \\
17 & omicron herculis & +3,050,000 & +3,870,000 & +3,470,000 & -0.63 & 44.0 & 346.0 & 3.83 \\
18 & beta cygni & +3,870,000 & none & +4,610,000 & -0.52 & 80.0 & 390.0 & 3.18 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& max ( "maximum magnitude" ) \\
\midrule
0 & -0.63 \\
\bottomrule
\end{tabular}
| select maximum magnitude where star = 'omicron herculis' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>star</th>
<th>start year</th>
<th>end year</th>
<th>maximum year</th>
<th>maximum magnitude</th>
<th>distance at maximum (ly)</th>
<th>current distance</th>
<th>current magnitude</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>epsilon canis majoris</td>
<td>none</td>
<td>-4,460,000</td>
<td>-4,700,000</td>
<td>-3.99</td>
<td>34.0</td>
<td>430.0</td>
<td>1.5</td>
</tr>
<tr>
<th>1</th>
<td>beta canis majoris</td>
<td>-4,460,000</td>
<td>-3,700,000</td>
<td>-4,420,000</td>
<td>-3.65</td>
<td>37.0</td>
<td>500.0</td>
<td>1.99</td>
</tr>
<tr>
<th>2</th>
<td>canopus (first time)</td>
<td>-3,700,000</td>
<td>-1,370,000</td>
<td>-3,110,000</td>
<td>-1.86</td>
<td>177.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>3</th>
<td>zeta sagittarii</td>
<td>-1,370,000</td>
<td>-1,080,000</td>
<td>-1,200,000</td>
<td>-2.74</td>
<td>8.0</td>
<td>89.1</td>
<td>2.6</td>
</tr>
<tr>
<th>4</th>
<td>zeta leporis</td>
<td>-1,080,000</td>
<td>-950,000</td>
<td>-1,050,000</td>
<td>-2.05</td>
<td>5.3</td>
<td>70.0</td>
<td>3.55</td>
</tr>
<tr>
<th>5</th>
<td>canopus (second time)</td>
<td>-950,000</td>
<td>-420,000</td>
<td>-950,000</td>
<td>-1.09</td>
<td>252.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>6</th>
<td>aldebaran</td>
<td>-420,000</td>
<td>-210,000</td>
<td>-320,000</td>
<td>-1.54</td>
<td>21.5</td>
<td>65.0</td>
<td>0.85</td>
</tr>
<tr>
<th>7</th>
<td>capella</td>
<td>-210,000</td>
<td>-160,000</td>
<td>-240,000</td>
<td>-0.82</td>
<td>27.9</td>
<td>42.2</td>
<td>0.08</td>
</tr>
<tr>
<th>8</th>
<td>canopus (third time)</td>
<td>-160,000</td>
<td>-90,000</td>
<td>-160,000</td>
<td>-0.7</td>
<td>302.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>9</th>
<td>sirius (current)</td>
<td>-90,000</td>
<td>+210,000</td>
<td>+60,000</td>
<td>-1.64</td>
<td>7.8</td>
<td>8.6</td>
<td>-1.46</td>
</tr>
<tr>
<th>10</th>
<td>vega</td>
<td>+210,000</td>
<td>+480,000</td>
<td>+290,000</td>
<td>-0.81</td>
<td>17.2</td>
<td>25.04</td>
<td>0.03</td>
</tr>
<tr>
<th>11</th>
<td>canopus (fourth time)</td>
<td>+480,000</td>
<td>+990,000</td>
<td>+480,000</td>
<td>-0.4</td>
<td>346.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>12</th>
<td>beta aurigae</td>
<td>+990,000</td>
<td>+1,150,000</td>
<td>+1,190,000</td>
<td>-0.4</td>
<td>28.5</td>
<td>82.1</td>
<td>1.9</td>
</tr>
<tr>
<th>13</th>
<td>delta scuti</td>
<td>+1,150,000</td>
<td>+1,330,000</td>
<td>+1,250,000</td>
<td>-1.84</td>
<td>9.2</td>
<td>187.0</td>
<td>4.72</td>
</tr>
<tr>
<th>14</th>
<td>gamma draconis</td>
<td>+1,330,000</td>
<td>+2,030,000</td>
<td>+1,550,000</td>
<td>-1.39</td>
<td>27.7</td>
<td>154.0</td>
<td>2.36</td>
</tr>
<tr>
<th>15</th>
<td>upsilon librae</td>
<td>+2,030,000</td>
<td>+2,670,000</td>
<td>+2,290,000</td>
<td>-0.46</td>
<td>30.0</td>
<td>195.0</td>
<td>3.6</td>
</tr>
<tr>
<th>16</th>
<td>nr canis majoris</td>
<td>+2,670,000</td>
<td>+3,050,000</td>
<td>+2,870,000</td>
<td>-0.88</td>
<td>14.0</td>
<td>280.0</td>
<td>5.6</td>
</tr>
<tr>
<th>17</th>
<td>omicron herculis</td>
<td>+3,050,000</td>
<td>+3,870,000</td>
<td>+3,470,000</td>
<td>-0.63</td>
<td>44.0</td>
<td>346.0</td>
<td>3.83</td>
</tr>
<tr>
<th>18</th>
<td>beta cygni</td>
<td>+3,870,000</td>
<td>none</td>
<td>+4,610,000</td>
<td>-0.52</td>
<td>80.0</td>
<td>390.0</td>
<td>3.18</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>max ( "maximum magnitude" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>-0.63</td>
</tr>
</tbody>
</table> | select maximum magnitude where star = 'omicron herculis' <table_name> : table | | star | start year | end year | maximum year | maximum magnitude | distance at maximum (ly) | current distance | current magnitude |
|---:|:----------------------|:-------------|:-----------|:---------------|--------------------:|---------------------------:|-------------------:|--------------------:|
| 0 | epsilon canis majoris | none | -4,460,000 | -4,700,000 | -3.99 | 34 | 430 | 1.5 |
| 1 | beta canis majoris | -4,460,000 | -3,700,000 | -4,420,000 | -3.65 | 37 | 500 | 1.99 |
| 2 | canopus (first time) | -3,700,000 | -1,370,000 | -3,110,000 | -1.86 | 177 | 310 | -0.72 |
| 3 | zeta sagittarii | -1,370,000 | -1,080,000 | -1,200,000 | -2.74 | 8 | 89.1 | 2.6 |
| 4 | zeta leporis | -1,080,000 | -950,000 | -1,050,000 | -2.05 | 5.3 | 70 | 3.55 |
| 5 | canopus (second time) | -950,000 | -420,000 | -950,000 | -1.09 | 252 | 310 | -0.72 |
| 6 | aldebaran | -420,000 | -210,000 | -320,000 | -1.54 | 21.5 | 65 | 0.85 |
| 7 | capella | -210,000 | -160,000 | -240,000 | -0.82 | 27.9 | 42.2 | 0.08 |
| 8 | canopus (third time) | -160,000 | -90,000 | -160,000 | -0.7 | 302 | 310 | -0.72 |
| 9 | sirius (current) | -90,000 | +210,000 | +60,000 | -1.64 | 7.8 | 8.6 | -1.46 |
| 10 | vega | +210,000 | +480,000 | +290,000 | -0.81 | 17.2 | 25.04 | 0.03 |
| 11 | canopus (fourth time) | +480,000 | +990,000 | +480,000 | -0.4 | 346 | 310 | -0.72 |
| 12 | beta aurigae | +990,000 | +1,150,000 | +1,190,000 | -0.4 | 28.5 | 82.1 | 1.9 |
| 13 | delta scuti | +1,150,000 | +1,330,000 | +1,250,000 | -1.84 | 9.2 | 187 | 4.72 |
| 14 | gamma draconis | +1,330,000 | +2,030,000 | +1,550,000 | -1.39 | 27.7 | 154 | 2.36 |
| 15 | upsilon librae | +2,030,000 | +2,670,000 | +2,290,000 | -0.46 | 30 | 195 | 3.6 |
| 16 | nr canis majoris | +2,670,000 | +3,050,000 | +2,870,000 | -0.88 | 14 | 280 | 5.6 |
| 17 | omicron herculis | +3,050,000 | +3,870,000 | +3,470,000 | -0.63 | 44 | 346 | 3.83 |
| 18 | beta cygni | +3,870,000 | none | +4,610,000 | -0.52 | 80 | 390 | 3.18 | | | | max ( "maximum magnitude" ) |
|---:|------------------------------:|
| 0 | -0.63 | | [
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select count ( arena ) where date = 'january 5, 1994' col : date | winning team | score -1 | losing team | score -2 | ot | city | state/province | arena | attendance row 1 : 1993-10-21 00:00:00 | st. louis | 5 | san jose | 2 | none | sacramento | ca | arco arena | 7144 row 2 : 1993-10-31 00:00:00 | ny rangers | 4 | new jersey | 1 | none | halifax | ns | halifax metro centre | 8200 row 3 : 1993-11-03 00:00:00 | pittsburgh | 6 | buffalo | 2 | none | sacramento | ca | arco arena | 10117 row 4 : 1993-11-09 00:00:00 | anaheim | 4 | dallas | 2 | none | phoenix | az | america west arena | 8143 row 5 : 1993-11-18 00:00:00 | ny islanders | 5 | montreal | 1 | none | hamilton | on | copps coliseum | 17008 row 6 : 1993-12-09 00:00:00 | dallas | 6 | ottawa | 1 | none | minneapolis | mn | target center | 14058 row 7 : 1993-12-23 00:00:00 | vancouver | 4 | calgary | 3 | none | saskatoon | sk | saskplace | 11429 row 8 : 1993-12-31 00:00:00 | philadelphia | 4 | boston | 3 | none | minneapolis | mn | target center | 10855 row 9 : 1994-01-04 00:00:00 | tampa bay | 1 | toronto | 0 | none | hamilton | on | copps coliseum | 17526 row 10 : 1994-01-05 00:00:00 | montreal | 2 | quebec | 0 | none | phoenix | az | america west arena | 11393 row 11 : 1994-01-06 00:00:00 | st. louis | 2 | hartford | 1 | none | cleveland | oh | richfield coliseum | 6956 row 12 : 1994-01-17 00:00:00 | detroit | 6 | tampa bay | 3 | none | minneapolis | mn | target center | 8764 row 13 : 1994-01-23 00:00:00 | vancouver | 5 | edmonton | 4 | (ot) | saskatoon | sk | saskplace | none row 14 : 1994-01-24 00:00:00 | calgary | 3 | los angeles | 3 | (ot) | phoenix | az | america west arena | 14864 row 15 : 1994-02-02 00:00:00 | washington | 5 | philadelphia | 2 | none | cleveland | oh | richfield coliseum | 8312 row 16 : 1994-02-08 00:00:00 | san jose | 4 | chicago | 3 | none | sacramento | ca | arco arena | 14182 row 17 : 1994-02-22 00:00:00 | florida | 3 | winnipeg | 2 | none | hamilton | on | copps coliseum | 6291 row 18 : 1994-02-24 00:00:00 | detroit | 3 | hartford | 0 | none | cleveland | oh | richfield coliseum | 11621 row 19 : 1994-03-04 00:00:00 | winnipeg | 6 | ottawa | 1 | none | minneapolis | mn | target center | 6388 row 20 : 1994-03-08 00:00:00 | chicago | 3 | anaheim | 0 | none | phoenix | az | america west arena | 13847 row 21 : 1994-03-09 00:00:00 | ny rangers | 7 | washington | 5 | none | halifax | ns | halifax metro centre | 9200 row 22 : 1994-03-18 00:00:00 | buffalo | 2 | ny islanders | 2 | (ot) | minneapolis | mn | target center | 8016 row 23 : 1994-03-23 00:00:00 | florida | 1 | toronto | 1 | (ot) | hamilton | on | copps coliseum | 17096 row 24 : 1994-03-27 00:00:00 | new jersey | 5 | quebec | 2 | none | minneapolis | mn | target center | 6222 row 25 : 1994-04-03 00:00:00 | pittsburgh | 6 | boston | 2 | none | cleveland | oh | richfield coliseum | 17224 row 26 : 1994-04-03 00:00:00 | los angeles | 6 | edmonton | 1 | none | sacramento | ca | arco arena | 10363 | col : count ( "arena" ) row 1 : 1 | select count ( arena ) where date = 'january 5, 1994' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& date & winning team & score -1 & losing team & score -2 & ot & city & state/province & arena & attendance \\
\midrule
0 & 1993-10-21 00:00:00 & st. louis & 5 & san jose & 2 & none & sacramento & ca & arco arena & 7144 \\
1 & 1993-10-31 00:00:00 & ny rangers & 4 & new jersey & 1 & none & halifax & ns & halifax metro centre & 8200 \\
2 & 1993-11-03 00:00:00 & pittsburgh & 6 & buffalo & 2 & none & sacramento & ca & arco arena & 10117 \\
3 & 1993-11-09 00:00:00 & anaheim & 4 & dallas & 2 & none & phoenix & az & america west arena & 8143 \\
4 & 1993-11-18 00:00:00 & ny islanders & 5 & montreal & 1 & none & hamilton & on & copps coliseum & 17008 \\
5 & 1993-12-09 00:00:00 & dallas & 6 & ottawa & 1 & none & minneapolis & mn & target center & 14058 \\
6 & 1993-12-23 00:00:00 & vancouver & 4 & calgary & 3 & none & saskatoon & sk & saskplace & 11429 \\
7 & 1993-12-31 00:00:00 & philadelphia & 4 & boston & 3 & none & minneapolis & mn & target center & 10855 \\
8 & 1994-01-04 00:00:00 & tampa bay & 1 & toronto & 0 & none & hamilton & on & copps coliseum & 17526 \\
9 & 1994-01-05 00:00:00 & montreal & 2 & quebec & 0 & none & phoenix & az & america west arena & 11393 \\
10 & 1994-01-06 00:00:00 & st. louis & 2 & hartford & 1 & none & cleveland & oh & richfield coliseum & 6956 \\
11 & 1994-01-17 00:00:00 & detroit & 6 & tampa bay & 3 & none & minneapolis & mn & target center & 8764 \\
12 & 1994-01-23 00:00:00 & vancouver & 5 & edmonton & 4 & (ot) & saskatoon & sk & saskplace & none \\
13 & 1994-01-24 00:00:00 & calgary & 3 & los angeles & 3 & (ot) & phoenix & az & america west arena & 14864 \\
14 & 1994-02-02 00:00:00 & washington & 5 & philadelphia & 2 & none & cleveland & oh & richfield coliseum & 8312 \\
15 & 1994-02-08 00:00:00 & san jose & 4 & chicago & 3 & none & sacramento & ca & arco arena & 14182 \\
16 & 1994-02-22 00:00:00 & florida & 3 & winnipeg & 2 & none & hamilton & on & copps coliseum & 6291 \\
17 & 1994-02-24 00:00:00 & detroit & 3 & hartford & 0 & none & cleveland & oh & richfield coliseum & 11621 \\
18 & 1994-03-04 00:00:00 & winnipeg & 6 & ottawa & 1 & none & minneapolis & mn & target center & 6388 \\
19 & 1994-03-08 00:00:00 & chicago & 3 & anaheim & 0 & none & phoenix & az & america west arena & 13847 \\
20 & 1994-03-09 00:00:00 & ny rangers & 7 & washington & 5 & none & halifax & ns & halifax metro centre & 9200 \\
21 & 1994-03-18 00:00:00 & buffalo & 2 & ny islanders & 2 & (ot) & minneapolis & mn & target center & 8016 \\
22 & 1994-03-23 00:00:00 & florida & 1 & toronto & 1 & (ot) & hamilton & on & copps coliseum & 17096 \\
23 & 1994-03-27 00:00:00 & new jersey & 5 & quebec & 2 & none & minneapolis & mn & target center & 6222 \\
24 & 1994-04-03 00:00:00 & pittsburgh & 6 & boston & 2 & none & cleveland & oh & richfield coliseum & 17224 \\
25 & 1994-04-03 00:00:00 & los angeles & 6 & edmonton & 1 & none & sacramento & ca & arco arena & 10363 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "arena" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( arena ) where date = 'january 5, 1994' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>winning team</th>
<th>score -1</th>
<th>losing team</th>
<th>score -2</th>
<th>ot</th>
<th>city</th>
<th>state/province</th>
<th>arena</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1993-10-21 00:00:00</td>
<td>st. louis</td>
<td>5</td>
<td>san jose</td>
<td>2</td>
<td>none</td>
<td>sacramento</td>
<td>ca</td>
<td>arco arena</td>
<td>7144</td>
</tr>
<tr>
<th>1</th>
<td>1993-10-31 00:00:00</td>
<td>ny rangers</td>
<td>4</td>
<td>new jersey</td>
<td>1</td>
<td>none</td>
<td>halifax</td>
<td>ns</td>
<td>halifax metro centre</td>
<td>8200</td>
</tr>
<tr>
<th>2</th>
<td>1993-11-03 00:00:00</td>
<td>pittsburgh</td>
<td>6</td>
<td>buffalo</td>
<td>2</td>
<td>none</td>
<td>sacramento</td>
<td>ca</td>
<td>arco arena</td>
<td>10117</td>
</tr>
<tr>
<th>3</th>
<td>1993-11-09 00:00:00</td>
<td>anaheim</td>
<td>4</td>
<td>dallas</td>
<td>2</td>
<td>none</td>
<td>phoenix</td>
<td>az</td>
<td>america west arena</td>
<td>8143</td>
</tr>
<tr>
<th>4</th>
<td>1993-11-18 00:00:00</td>
<td>ny islanders</td>
<td>5</td>
<td>montreal</td>
<td>1</td>
<td>none</td>
<td>hamilton</td>
<td>on</td>
<td>copps coliseum</td>
<td>17008</td>
</tr>
<tr>
<th>5</th>
<td>1993-12-09 00:00:00</td>
<td>dallas</td>
<td>6</td>
<td>ottawa</td>
<td>1</td>
<td>none</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>14058</td>
</tr>
<tr>
<th>6</th>
<td>1993-12-23 00:00:00</td>
<td>vancouver</td>
<td>4</td>
<td>calgary</td>
<td>3</td>
<td>none</td>
<td>saskatoon</td>
<td>sk</td>
<td>saskplace</td>
<td>11429</td>
</tr>
<tr>
<th>7</th>
<td>1993-12-31 00:00:00</td>
<td>philadelphia</td>
<td>4</td>
<td>boston</td>
<td>3</td>
<td>none</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>10855</td>
</tr>
<tr>
<th>8</th>
<td>1994-01-04 00:00:00</td>
<td>tampa bay</td>
<td>1</td>
<td>toronto</td>
<td>0</td>
<td>none</td>
<td>hamilton</td>
<td>on</td>
<td>copps coliseum</td>
<td>17526</td>
</tr>
<tr>
<th>9</th>
<td>1994-01-05 00:00:00</td>
<td>montreal</td>
<td>2</td>
<td>quebec</td>
<td>0</td>
<td>none</td>
<td>phoenix</td>
<td>az</td>
<td>america west arena</td>
<td>11393</td>
</tr>
<tr>
<th>10</th>
<td>1994-01-06 00:00:00</td>
<td>st. louis</td>
<td>2</td>
<td>hartford</td>
<td>1</td>
<td>none</td>
<td>cleveland</td>
<td>oh</td>
<td>richfield coliseum</td>
<td>6956</td>
</tr>
<tr>
<th>11</th>
<td>1994-01-17 00:00:00</td>
<td>detroit</td>
<td>6</td>
<td>tampa bay</td>
<td>3</td>
<td>none</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>8764</td>
</tr>
<tr>
<th>12</th>
<td>1994-01-23 00:00:00</td>
<td>vancouver</td>
<td>5</td>
<td>edmonton</td>
<td>4</td>
<td>(ot)</td>
<td>saskatoon</td>
<td>sk</td>
<td>saskplace</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>1994-01-24 00:00:00</td>
<td>calgary</td>
<td>3</td>
<td>los angeles</td>
<td>3</td>
<td>(ot)</td>
<td>phoenix</td>
<td>az</td>
<td>america west arena</td>
<td>14864</td>
</tr>
<tr>
<th>14</th>
<td>1994-02-02 00:00:00</td>
<td>washington</td>
<td>5</td>
<td>philadelphia</td>
<td>2</td>
<td>none</td>
<td>cleveland</td>
<td>oh</td>
<td>richfield coliseum</td>
<td>8312</td>
</tr>
<tr>
<th>15</th>
<td>1994-02-08 00:00:00</td>
<td>san jose</td>
<td>4</td>
<td>chicago</td>
<td>3</td>
<td>none</td>
<td>sacramento</td>
<td>ca</td>
<td>arco arena</td>
<td>14182</td>
</tr>
<tr>
<th>16</th>
<td>1994-02-22 00:00:00</td>
<td>florida</td>
<td>3</td>
<td>winnipeg</td>
<td>2</td>
<td>none</td>
<td>hamilton</td>
<td>on</td>
<td>copps coliseum</td>
<td>6291</td>
</tr>
<tr>
<th>17</th>
<td>1994-02-24 00:00:00</td>
<td>detroit</td>
<td>3</td>
<td>hartford</td>
<td>0</td>
<td>none</td>
<td>cleveland</td>
<td>oh</td>
<td>richfield coliseum</td>
<td>11621</td>
</tr>
<tr>
<th>18</th>
<td>1994-03-04 00:00:00</td>
<td>winnipeg</td>
<td>6</td>
<td>ottawa</td>
<td>1</td>
<td>none</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>6388</td>
</tr>
<tr>
<th>19</th>
<td>1994-03-08 00:00:00</td>
<td>chicago</td>
<td>3</td>
<td>anaheim</td>
<td>0</td>
<td>none</td>
<td>phoenix</td>
<td>az</td>
<td>america west arena</td>
<td>13847</td>
</tr>
<tr>
<th>20</th>
<td>1994-03-09 00:00:00</td>
<td>ny rangers</td>
<td>7</td>
<td>washington</td>
<td>5</td>
<td>none</td>
<td>halifax</td>
<td>ns</td>
<td>halifax metro centre</td>
<td>9200</td>
</tr>
<tr>
<th>21</th>
<td>1994-03-18 00:00:00</td>
<td>buffalo</td>
<td>2</td>
<td>ny islanders</td>
<td>2</td>
<td>(ot)</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>8016</td>
</tr>
<tr>
<th>22</th>
<td>1994-03-23 00:00:00</td>
<td>florida</td>
<td>1</td>
<td>toronto</td>
<td>1</td>
<td>(ot)</td>
<td>hamilton</td>
<td>on</td>
<td>copps coliseum</td>
<td>17096</td>
</tr>
<tr>
<th>23</th>
<td>1994-03-27 00:00:00</td>
<td>new jersey</td>
<td>5</td>
<td>quebec</td>
<td>2</td>
<td>none</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>6222</td>
</tr>
<tr>
<th>24</th>
<td>1994-04-03 00:00:00</td>
<td>pittsburgh</td>
<td>6</td>
<td>boston</td>
<td>2</td>
<td>none</td>
<td>cleveland</td>
<td>oh</td>
<td>richfield coliseum</td>
<td>17224</td>
</tr>
<tr>
<th>25</th>
<td>1994-04-03 00:00:00</td>
<td>los angeles</td>
<td>6</td>
<td>edmonton</td>
<td>1</td>
<td>none</td>
<td>sacramento</td>
<td>ca</td>
<td>arco arena</td>
<td>10363</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "arena" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( arena ) where date = 'january 5, 1994' <table_name> : table | | date | winning team | score -1 | losing team | score -2 | ot | city | state/province | arena | attendance |
|---:|:--------------------|:---------------|-----------:|:--------------|-----------:|:-----|:------------|:-----------------|:---------------------|:-------------|
| 0 | 1993-10-21 00:00:00 | st. louis | 5 | san jose | 2 | none | sacramento | ca | arco arena | 7144 |
| 1 | 1993-10-31 00:00:00 | ny rangers | 4 | new jersey | 1 | none | halifax | ns | halifax metro centre | 8200 |
| 2 | 1993-11-03 00:00:00 | pittsburgh | 6 | buffalo | 2 | none | sacramento | ca | arco arena | 10117 |
| 3 | 1993-11-09 00:00:00 | anaheim | 4 | dallas | 2 | none | phoenix | az | america west arena | 8143 |
| 4 | 1993-11-18 00:00:00 | ny islanders | 5 | montreal | 1 | none | hamilton | on | copps coliseum | 17008 |
| 5 | 1993-12-09 00:00:00 | dallas | 6 | ottawa | 1 | none | minneapolis | mn | target center | 14058 |
| 6 | 1993-12-23 00:00:00 | vancouver | 4 | calgary | 3 | none | saskatoon | sk | saskplace | 11429 |
| 7 | 1993-12-31 00:00:00 | philadelphia | 4 | boston | 3 | none | minneapolis | mn | target center | 10855 |
| 8 | 1994-01-04 00:00:00 | tampa bay | 1 | toronto | 0 | none | hamilton | on | copps coliseum | 17526 |
| 9 | 1994-01-05 00:00:00 | montreal | 2 | quebec | 0 | none | phoenix | az | america west arena | 11393 |
| 10 | 1994-01-06 00:00:00 | st. louis | 2 | hartford | 1 | none | cleveland | oh | richfield coliseum | 6956 |
| 11 | 1994-01-17 00:00:00 | detroit | 6 | tampa bay | 3 | none | minneapolis | mn | target center | 8764 |
| 12 | 1994-01-23 00:00:00 | vancouver | 5 | edmonton | 4 | (ot) | saskatoon | sk | saskplace | none |
| 13 | 1994-01-24 00:00:00 | calgary | 3 | los angeles | 3 | (ot) | phoenix | az | america west arena | 14864 |
| 14 | 1994-02-02 00:00:00 | washington | 5 | philadelphia | 2 | none | cleveland | oh | richfield coliseum | 8312 |
| 15 | 1994-02-08 00:00:00 | san jose | 4 | chicago | 3 | none | sacramento | ca | arco arena | 14182 |
| 16 | 1994-02-22 00:00:00 | florida | 3 | winnipeg | 2 | none | hamilton | on | copps coliseum | 6291 |
| 17 | 1994-02-24 00:00:00 | detroit | 3 | hartford | 0 | none | cleveland | oh | richfield coliseum | 11621 |
| 18 | 1994-03-04 00:00:00 | winnipeg | 6 | ottawa | 1 | none | minneapolis | mn | target center | 6388 |
| 19 | 1994-03-08 00:00:00 | chicago | 3 | anaheim | 0 | none | phoenix | az | america west arena | 13847 |
| 20 | 1994-03-09 00:00:00 | ny rangers | 7 | washington | 5 | none | halifax | ns | halifax metro centre | 9200 |
| 21 | 1994-03-18 00:00:00 | buffalo | 2 | ny islanders | 2 | (ot) | minneapolis | mn | target center | 8016 |
| 22 | 1994-03-23 00:00:00 | florida | 1 | toronto | 1 | (ot) | hamilton | on | copps coliseum | 17096 |
| 23 | 1994-03-27 00:00:00 | new jersey | 5 | quebec | 2 | none | minneapolis | mn | target center | 6222 |
| 24 | 1994-04-03 00:00:00 | pittsburgh | 6 | boston | 2 | none | cleveland | oh | richfield coliseum | 17224 |
| 25 | 1994-04-03 00:00:00 | los angeles | 6 | edmonton | 1 | none | sacramento | ca | arco arena | 10363 | | | | count ( "arena" ) |
|---:|--------------------:|
| 0 | 1 | | [
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3639,
571,
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571,
2
]
] | [
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1,
1,
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select count ( * ) where club(s) = 1 col : nr. | name | area (km2) | population (2006) | capital | club(s) row 1 : 1 | alexandria | 2900 | 4110015 | alexandria | al itthad al sakandary - el-olympi - haras el hodood row 2 : 2 | asyut | 25926 | 3441597 | asyut | petrol asyout row 3 : 3 | cairo | 3435 | 7786640 | cairo | al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat row 4 : 4 | gharbia | 25400 | 3790670 | tanta | ghazl el-mehalla row 5 : 5 | giza | 85153 | 6272571 | giza | zamalek- tersana row 6 : 6 | ismailia | 1442 | 942832 | ismailia | ismaily row 7 : 7 | port said | 72 | 570768 | port said | al masry row 8 : 6 | suez | 17840 | 510935 | suez | petrojet | col : count ( "*" ) row 1 : 0 | select count ( * ) where club(s) = 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& nr. & name & area (km2) & population (2006) & capital & club(s) \\
\midrule
0 & 1 & alexandria & 2900 & 4110015 & alexandria & al itthad al sakandary - el-olympi - haras el hodood \\
1 & 2 & asyut & 25926 & 3441597 & asyut & petrol asyout \\
2 & 3 & cairo & 3435 & 7786640 & cairo & al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat \\
3 & 4 & gharbia & 25400 & 3790670 & tanta & ghazl el-mehalla \\
4 & 5 & giza & 85153 & 6272571 & giza & zamalek- tersana \\
5 & 6 & ismailia & 1442 & 942832 & ismailia & ismaily \\
6 & 7 & port said & 72 & 570768 & port said & al masry \\
7 & 6 & suez & 17840 & 510935 & suez & petrojet \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where club(s) = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nr.</th>
<th>name</th>
<th>area (km2)</th>
<th>population (2006)</th>
<th>capital</th>
<th>club(s)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>alexandria</td>
<td>2900</td>
<td>4110015</td>
<td>alexandria</td>
<td>al itthad al sakandary - el-olympi - haras el hodood</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>asyut</td>
<td>25926</td>
<td>3441597</td>
<td>asyut</td>
<td>petrol asyout</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>cairo</td>
<td>3435</td>
<td>7786640</td>
<td>cairo</td>
<td>al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>gharbia</td>
<td>25400</td>
<td>3790670</td>
<td>tanta</td>
<td>ghazl el-mehalla</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>giza</td>
<td>85153</td>
<td>6272571</td>
<td>giza</td>
<td>zamalek- tersana</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>ismailia</td>
<td>1442</td>
<td>942832</td>
<td>ismailia</td>
<td>ismaily</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>port said</td>
<td>72</td>
<td>570768</td>
<td>port said</td>
<td>al masry</td>
</tr>
<tr>
<th>7</th>
<td>6</td>
<td>suez</td>
<td>17840</td>
<td>510935</td>
<td>suez</td>
<td>petrojet</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where club(s) = 1 <table_name> : table | | nr. | name | area (km2) | population (2006) | capital | club(s) |
|---:|------:|:-----------|-------------:|--------------------:|:-----------|:-----------------------------------------------------------------|
| 0 | 1 | alexandria | 2900 | 4110015 | alexandria | al itthad al sakandary - el-olympi - haras el hodood |
| 1 | 2 | asyut | 25926 | 3441597 | asyut | petrol asyout |
| 2 | 3 | cairo | 3435 | 7786640 | cairo | al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat |
| 3 | 4 | gharbia | 25400 | 3790670 | tanta | ghazl el-mehalla |
| 4 | 5 | giza | 85153 | 6272571 | giza | zamalek- tersana |
| 5 | 6 | ismailia | 1442 | 942832 | ismailia | ismaily |
| 6 | 7 | port said | 72 | 570768 | port said | al masry |
| 7 | 6 | suez | 17840 | 510935 | suez | petrojet | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select season where place = '15th' order by tier asc limit 1 col : season | tier | division | place row 1 : 1963-86 | 5 | regional | none row 2 : 1986/87 | 5 | preferente | 2nd row 3 : 1987/88 | 4 | 3a | 15th row 4 : 1988/89 | 4 | 3a | 15th row 5 : 1989/90 | 4 | 3a | 17th row 6 : 1990/91 | 4 | 3a | 12th row 7 : 1991/92 | 4 | 3a | 18th row 8 : 1992/93 | 5 | preferente | 1st row 9 : 1993/94 | 4 | 3a | 14th row 10 : 1994/95 | 4 | 3a | 16th row 11 : 1995/96 | 4 | 3a | 19th row 12 : 1996/97 | 5 | preferente | 1st row 13 : 1997/98 | 4 | 3a | 7th row 14 : 1998/99 | 4 | 3a | 18th | col : season row 1 : 1987/88 | select season where place = '15th' order by tier asc limit 1 <table_name> : table \begin{tabular}{lllll}
\toprule
& season & tier & division & place \\
\midrule
0 & 1963-86 & 5 & regional & none \\
1 & 1986/87 & 5 & preferente & 2nd \\
2 & 1987/88 & 4 & 3a & 15th \\
3 & 1988/89 & 4 & 3a & 15th \\
4 & 1989/90 & 4 & 3a & 17th \\
5 & 1990/91 & 4 & 3a & 12th \\
6 & 1991/92 & 4 & 3a & 18th \\
7 & 1992/93 & 5 & preferente & 1st \\
8 & 1993/94 & 4 & 3a & 14th \\
9 & 1994/95 & 4 & 3a & 16th \\
10 & 1995/96 & 4 & 3a & 19th \\
11 & 1996/97 & 5 & preferente & 1st \\
12 & 1997/98 & 4 & 3a & 7th \\
13 & 1998/99 & 4 & 3a & 18th \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& season \\
\midrule
0 & 1987/88 \\
\bottomrule
\end{tabular}
| select season where place = '15th' order by tier asc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>tier</th>
<th>division</th>
<th>place</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1963-86</td>
<td>5</td>
<td>regional</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1986/87</td>
<td>5</td>
<td>preferente</td>
<td>2nd</td>
</tr>
<tr>
<th>2</th>
<td>1987/88</td>
<td>4</td>
<td>3a</td>
<td>15th</td>
</tr>
<tr>
<th>3</th>
<td>1988/89</td>
<td>4</td>
<td>3a</td>
<td>15th</td>
</tr>
<tr>
<th>4</th>
<td>1989/90</td>
<td>4</td>
<td>3a</td>
<td>17th</td>
</tr>
<tr>
<th>5</th>
<td>1990/91</td>
<td>4</td>
<td>3a</td>
<td>12th</td>
</tr>
<tr>
<th>6</th>
<td>1991/92</td>
<td>4</td>
<td>3a</td>
<td>18th</td>
</tr>
<tr>
<th>7</th>
<td>1992/93</td>
<td>5</td>
<td>preferente</td>
<td>1st</td>
</tr>
<tr>
<th>8</th>
<td>1993/94</td>
<td>4</td>
<td>3a</td>
<td>14th</td>
</tr>
<tr>
<th>9</th>
<td>1994/95</td>
<td>4</td>
<td>3a</td>
<td>16th</td>
</tr>
<tr>
<th>10</th>
<td>1995/96</td>
<td>4</td>
<td>3a</td>
<td>19th</td>
</tr>
<tr>
<th>11</th>
<td>1996/97</td>
<td>5</td>
<td>preferente</td>
<td>1st</td>
</tr>
<tr>
<th>12</th>
<td>1997/98</td>
<td>4</td>
<td>3a</td>
<td>7th</td>
</tr>
<tr>
<th>13</th>
<td>1998/99</td>
<td>4</td>
<td>3a</td>
<td>18th</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1987/88</td>
</tr>
</tbody>
</table> | select season where place = '15th' order by tier asc limit 1 <table_name> : table | | season | tier | division | place |
|---:|:---------|-------:|:-----------|:--------|
| 0 | 1963-86 | 5 | regional | none |
| 1 | 1986/87 | 5 | preferente | 2nd |
| 2 | 1987/88 | 4 | 3a | 15th |
| 3 | 1988/89 | 4 | 3a | 15th |
| 4 | 1989/90 | 4 | 3a | 17th |
| 5 | 1990/91 | 4 | 3a | 12th |
| 6 | 1991/92 | 4 | 3a | 18th |
| 7 | 1992/93 | 5 | preferente | 1st |
| 8 | 1993/94 | 4 | 3a | 14th |
| 9 | 1994/95 | 4 | 3a | 16th |
| 10 | 1995/96 | 4 | 3a | 19th |
| 11 | 1996/97 | 5 | preferente | 1st |
| 12 | 1997/98 | 4 | 3a | 7th |
| 13 | 1998/99 | 4 | 3a | 18th | | | | season |
|---:|:---------|
| 0 | 1987/88 | | [
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select result where week = 1 col : week | date | tv time | opponent | result | attendance | bye row 1 : 1 | september 6, 1998 | fox 1:05 pm mt | at dallas cowboys | l 38-10 | 63602 | 0 row 2 : 2 | september 13, 1998 | fox 1:15 pm mt | at seattle seahawks | l 33-14 | 57678 | 0 row 3 : 3 | september 20, 1998 | espn 5:15 pm mt | philadelphia eagles | w 17-3 | 39782 | 0 row 4 : 4 | september 27, 1998 | fox 10:00 am mt | at st. louis rams | w 20-17 | 55832 | 0 row 5 : 5 | october 4, 1998 | cbs 1:05 pm mt | oakland raiders | l 23-20 | 53,24 | 0 row 6 : 6 | october 11, 1998 | fox 1:05 pm mt | chicago bears | w 20-7 | 50495 | 0 row 7 : 7 | october 18, 1998 | fox 10:00 am mt | at new york giants | l 34-7 | 70456 | 0 row 8 : 8 | none | none | none | none | none | 1 row 9 : 9 | november 1, 1998 | fox 11:00 am mt | at detroit lions | w 17-15 | 66087 | 0 row 10 : 10 | november 8, 1998 | fox 2:15 pm mt | washington redskins | w 29-27 | 45,95 | 0 row 11 : 11 | november 15, 1998 | fox 2:15 pm mt | dallas cowboys | l 35-28 | 71,67 | 0 row 12 : 12 | november 22, 1998 | fox 11:00 am mt | at washington redskins | w 45-42 | 63435 | 0 row 13 : 13 | november 29, 1998 | fox 11:00 am mt | at kansas city chiefs | l 34-24 | 69613 | 0 row 14 : 14 | december 6, 1998 | fox 2:15 pm mt | new york giants | l 23-19 | 46128 | 0 row 15 : 15 | december 13, 1998 | fox 11:00 am mt | at philadelphia eagles | w 20-17 | 62176 | 0 row 16 : 16 | december 20, 1998 | fox 2:05 pm mt | new orleans saints | w 19-17 | 51617 | 0 row 17 : 17 | december 27, 1998 | cbs 2:05 pm mt | san diego chargers | w 16-13 | 71,67 | 0 | col : result row 1 : l 38-10 | select result where week = 1 <table_name> : table \begin{tabular}{llllllll}
\toprule
& week & date & tv time & opponent & result & attendance & bye \\
\midrule
0 & 1 & september 6, 1998 & fox 1:05 pm mt & at dallas cowboys & l 38-10 & 63602 & 0 \\
1 & 2 & september 13, 1998 & fox 1:15 pm mt & at seattle seahawks & l 33-14 & 57678 & 0 \\
2 & 3 & september 20, 1998 & espn 5:15 pm mt & philadelphia eagles & w 17-3 & 39782 & 0 \\
3 & 4 & september 27, 1998 & fox 10:00 am mt & at st. louis rams & w 20-17 & 55832 & 0 \\
4 & 5 & october 4, 1998 & cbs 1:05 pm mt & oakland raiders & l 23-20 & 53,24 & 0 \\
5 & 6 & october 11, 1998 & fox 1:05 pm mt & chicago bears & w 20-7 & 50495 & 0 \\
6 & 7 & october 18, 1998 & fox 10:00 am mt & at new york giants & l 34-7 & 70456 & 0 \\
7 & 8 & none & none & none & none & none & 1 \\
8 & 9 & november 1, 1998 & fox 11:00 am mt & at detroit lions & w 17-15 & 66087 & 0 \\
9 & 10 & november 8, 1998 & fox 2:15 pm mt & washington redskins & w 29-27 & 45,95 & 0 \\
10 & 11 & november 15, 1998 & fox 2:15 pm mt & dallas cowboys & l 35-28 & 71,67 & 0 \\
11 & 12 & november 22, 1998 & fox 11:00 am mt & at washington redskins & w 45-42 & 63435 & 0 \\
12 & 13 & november 29, 1998 & fox 11:00 am mt & at kansas city chiefs & l 34-24 & 69613 & 0 \\
13 & 14 & december 6, 1998 & fox 2:15 pm mt & new york giants & l 23-19 & 46128 & 0 \\
14 & 15 & december 13, 1998 & fox 11:00 am mt & at philadelphia eagles & w 20-17 & 62176 & 0 \\
15 & 16 & december 20, 1998 & fox 2:05 pm mt & new orleans saints & w 19-17 & 51617 & 0 \\
16 & 17 & december 27, 1998 & cbs 2:05 pm mt & san diego chargers & w 16-13 & 71,67 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& result \\
\midrule
0 & l 38-10 \\
\bottomrule
\end{tabular}
| select result where week = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>tv time</th>
<th>opponent</th>
<th>result</th>
<th>attendance</th>
<th>bye</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>september 6, 1998</td>
<td>fox 1:05 pm mt</td>
<td>at dallas cowboys</td>
<td>l 38-10</td>
<td>63602</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>september 13, 1998</td>
<td>fox 1:15 pm mt</td>
<td>at seattle seahawks</td>
<td>l 33-14</td>
<td>57678</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>september 20, 1998</td>
<td>espn 5:15 pm mt</td>
<td>philadelphia eagles</td>
<td>w 17-3</td>
<td>39782</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>september 27, 1998</td>
<td>fox 10:00 am mt</td>
<td>at st. louis rams</td>
<td>w 20-17</td>
<td>55832</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>october 4, 1998</td>
<td>cbs 1:05 pm mt</td>
<td>oakland raiders</td>
<td>l 23-20</td>
<td>53,24</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>october 11, 1998</td>
<td>fox 1:05 pm mt</td>
<td>chicago bears</td>
<td>w 20-7</td>
<td>50495</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>october 18, 1998</td>
<td>fox 10:00 am mt</td>
<td>at new york giants</td>
<td>l 34-7</td>
<td>70456</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>november 1, 1998</td>
<td>fox 11:00 am mt</td>
<td>at detroit lions</td>
<td>w 17-15</td>
<td>66087</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>november 8, 1998</td>
<td>fox 2:15 pm mt</td>
<td>washington redskins</td>
<td>w 29-27</td>
<td>45,95</td>
<td>0</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>november 15, 1998</td>
<td>fox 2:15 pm mt</td>
<td>dallas cowboys</td>
<td>l 35-28</td>
<td>71,67</td>
<td>0</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>november 22, 1998</td>
<td>fox 11:00 am mt</td>
<td>at washington redskins</td>
<td>w 45-42</td>
<td>63435</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>november 29, 1998</td>
<td>fox 11:00 am mt</td>
<td>at kansas city chiefs</td>
<td>l 34-24</td>
<td>69613</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>december 6, 1998</td>
<td>fox 2:15 pm mt</td>
<td>new york giants</td>
<td>l 23-19</td>
<td>46128</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>december 13, 1998</td>
<td>fox 11:00 am mt</td>
<td>at philadelphia eagles</td>
<td>w 20-17</td>
<td>62176</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>december 20, 1998</td>
<td>fox 2:05 pm mt</td>
<td>new orleans saints</td>
<td>w 19-17</td>
<td>51617</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>december 27, 1998</td>
<td>cbs 2:05 pm mt</td>
<td>san diego chargers</td>
<td>w 16-13</td>
<td>71,67</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>l 38-10</td>
</tr>
</tbody>
</table> | select result where week = 1 <table_name> : table | | week | date | tv time | opponent | result | attendance | bye |
|---:|-------:|:-------------------|:----------------|:-----------------------|:---------|:-------------|------:|
| 0 | 1 | september 6, 1998 | fox 1:05 pm mt | at dallas cowboys | l 38-10 | 63602 | 0 |
| 1 | 2 | september 13, 1998 | fox 1:15 pm mt | at seattle seahawks | l 33-14 | 57678 | 0 |
| 2 | 3 | september 20, 1998 | espn 5:15 pm mt | philadelphia eagles | w 17-3 | 39782 | 0 |
| 3 | 4 | september 27, 1998 | fox 10:00 am mt | at st. louis rams | w 20-17 | 55832 | 0 |
| 4 | 5 | october 4, 1998 | cbs 1:05 pm mt | oakland raiders | l 23-20 | 53,24 | 0 |
| 5 | 6 | october 11, 1998 | fox 1:05 pm mt | chicago bears | w 20-7 | 50495 | 0 |
| 6 | 7 | october 18, 1998 | fox 10:00 am mt | at new york giants | l 34-7 | 70456 | 0 |
| 7 | 8 | none | none | none | none | none | 1 |
| 8 | 9 | november 1, 1998 | fox 11:00 am mt | at detroit lions | w 17-15 | 66087 | 0 |
| 9 | 10 | november 8, 1998 | fox 2:15 pm mt | washington redskins | w 29-27 | 45,95 | 0 |
| 10 | 11 | november 15, 1998 | fox 2:15 pm mt | dallas cowboys | l 35-28 | 71,67 | 0 |
| 11 | 12 | november 22, 1998 | fox 11:00 am mt | at washington redskins | w 45-42 | 63435 | 0 |
| 12 | 13 | november 29, 1998 | fox 11:00 am mt | at kansas city chiefs | l 34-24 | 69613 | 0 |
| 13 | 14 | december 6, 1998 | fox 2:15 pm mt | new york giants | l 23-19 | 46128 | 0 |
| 14 | 15 | december 13, 1998 | fox 11:00 am mt | at philadelphia eagles | w 20-17 | 62176 | 0 |
| 15 | 16 | december 20, 1998 | fox 2:05 pm mt | new orleans saints | w 19-17 | 51617 | 0 |
| 16 | 17 | december 27, 1998 | cbs 2:05 pm mt | san diego chargers | w 16-13 | 71,67 | 0 | | | | result |
|---:|:---------|
| 0 | l 38-10 | | [
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select venue where # = 1 col : # | date | venue | opponent | score | result | competition row 1 : 1 | 2000-03-29 00:00:00 | vasil levski national stadium, sofia | belarus | 1-0 | 4-1 | friendly row 2 : 2 | 2000-10-07 00:00:00 | georgi asparuhov stadium, sofia | malta | 3-0 | 3-0 | 2002 world cup qualifier row 3 : 3 | 2003-03-27 00:00:00 | stadion mladost, krusevac | serbia and montenegro | 2-1 | 2-1 | friendly row 4 : 4 | 2003-06-07 00:00:00 | vasil levski national stadium, sofia | belgium | 2-2 | 2-2 | euro 2004 qualifier row 5 : 5 | 2005-11-12 00:00:00 | vasil levski national stadium, sofia | georgia | 5-0 | 6-2 | friendly row 6 : 6 | 2005-11-12 00:00:00 | vasil levski national stadium, sofia | georgia | 6-2 | 6-2 | friendly row 7 : 7 | 2006-05-09 00:00:00 | nagai stadium, osaka | japan | 1-0 | 2-1 | 2006 kirin cup | col : venue row 1 : vasil levski national stadium, sofia | select venue where # = 1 <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 2000-03-29 00:00:00 & vasil levski national stadium, sofia & belarus & 1-0 & 4-1 & friendly \\
1 & 2 & 2000-10-07 00:00:00 & georgi asparuhov stadium, sofia & malta & 3-0 & 3-0 & 2002 world cup qualifier \\
2 & 3 & 2003-03-27 00:00:00 & stadion mladost, krusevac & serbia and montenegro & 2-1 & 2-1 & friendly \\
3 & 4 & 2003-06-07 00:00:00 & vasil levski national stadium, sofia & belgium & 2-2 & 2-2 & euro 2004 qualifier \\
4 & 5 & 2005-11-12 00:00:00 & vasil levski national stadium, sofia & georgia & 5-0 & 6-2 & friendly \\
5 & 6 & 2005-11-12 00:00:00 & vasil levski national stadium, sofia & georgia & 6-2 & 6-2 & friendly \\
6 & 7 & 2006-05-09 00:00:00 & nagai stadium, osaka & japan & 1-0 & 2-1 & 2006 kirin cup \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& venue \\
\midrule
0 & vasil levski national stadium, sofia \\
\bottomrule
\end{tabular}
| select venue where # = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2000-03-29 00:00:00</td>
<td>vasil levski national stadium, sofia</td>
<td>belarus</td>
<td>1-0</td>
<td>4-1</td>
<td>friendly</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2000-10-07 00:00:00</td>
<td>georgi asparuhov stadium, sofia</td>
<td>malta</td>
<td>3-0</td>
<td>3-0</td>
<td>2002 world cup qualifier</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2003-03-27 00:00:00</td>
<td>stadion mladost, krusevac</td>
<td>serbia and montenegro</td>
<td>2-1</td>
<td>2-1</td>
<td>friendly</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2003-06-07 00:00:00</td>
<td>vasil levski national stadium, sofia</td>
<td>belgium</td>
<td>2-2</td>
<td>2-2</td>
<td>euro 2004 qualifier</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2005-11-12 00:00:00</td>
<td>vasil levski national stadium, sofia</td>
<td>georgia</td>
<td>5-0</td>
<td>6-2</td>
<td>friendly</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2005-11-12 00:00:00</td>
<td>vasil levski national stadium, sofia</td>
<td>georgia</td>
<td>6-2</td>
<td>6-2</td>
<td>friendly</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2006-05-09 00:00:00</td>
<td>nagai stadium, osaka</td>
<td>japan</td>
<td>1-0</td>
<td>2-1</td>
<td>2006 kirin cup</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>venue</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>vasil levski national stadium, sofia</td>
</tr>
</tbody>
</table> | select venue where # = 1 <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:-------------------------------------|:----------------------|:--------|:---------|:-------------------------|
| 0 | 1 | 2000-03-29 00:00:00 | vasil levski national stadium, sofia | belarus | 1-0 | 4-1 | friendly |
| 1 | 2 | 2000-10-07 00:00:00 | georgi asparuhov stadium, sofia | malta | 3-0 | 3-0 | 2002 world cup qualifier |
| 2 | 3 | 2003-03-27 00:00:00 | stadion mladost, krusevac | serbia and montenegro | 2-1 | 2-1 | friendly |
| 3 | 4 | 2003-06-07 00:00:00 | vasil levski national stadium, sofia | belgium | 2-2 | 2-2 | euro 2004 qualifier |
| 4 | 5 | 2005-11-12 00:00:00 | vasil levski national stadium, sofia | georgia | 5-0 | 6-2 | friendly |
| 5 | 6 | 2005-11-12 00:00:00 | vasil levski national stadium, sofia | georgia | 6-2 | 6-2 | friendly |
| 6 | 7 | 2006-05-09 00:00:00 | nagai stadium, osaka | japan | 1-0 | 2-1 | 2006 kirin cup | | | | venue |
|---:|:-------------------------------------|
| 0 | vasil levski national stadium, sofia | | [
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select description where creature (other planes) = 'djinni, lesser' col : creature (other planes) | page | other appearances | variants | description row 1 : aerial servant | 39 | rules cyclopedia (1991) | none | none row 2 : basilisk | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 3 : cockatrice | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 4 : djinni, lesser | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 5 : djinni, greater | 39 | rules cyclopedia (1991) | none | none row 6 : efreeti, lesser | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 7 : efreeti, greater | 39-40 | rules cyclopedia (1991) | none | none row 8 : elemental | 40 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional statistics and abilities/penalties applicable to native plane of existence row 9 : gorgon | 40 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 10 : helion | 40 | rules cyclopedia (1991) | none | none row 11 : horde | 41 | rules cyclopedia (1991) | none | none row 12 : hydrax | 41 | rules cyclopedia (1991) | none | none row 13 : invisible stalker | 41 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 14 : kryst | 42 | rules cyclopedia (1991) | none | none row 15 : medusa | 42 | d&d basic rules (1981), d&d basic rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 16 : plasm | 42 | rules cyclopedia (1991) | normal and giant | none row 17 : salamander | 42 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 18 : undine | 42 | rules cyclopedia (1991) | none | none | col : description row 1 : describes additional abilities/penalties applicable to native plane of existence | select description where creature (other planes) = 'djinni, lesser' <table_name> : table \begin{tabular}{llllll}
\toprule
& creature (other planes) & page & other appearances & variants & description \\
\midrule
0 & aerial servant & 39 & rules cyclopedia (1991) & none & none \\
1 & basilisk & 39 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
2 & cockatrice & 39 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
3 & djinni, lesser & 39 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
4 & djinni, greater & 39 & rules cyclopedia (1991) & none & none \\
5 & efreeti, lesser & 39 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
6 & efreeti, greater & 39-40 & rules cyclopedia (1991) & none & none \\
7 & elemental & 40 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional statistics and abilities/penalties applicable to native plane of existence \\
8 & gorgon & 40 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
9 & helion & 40 & rules cyclopedia (1991) & none & none \\
10 & horde & 41 & rules cyclopedia (1991) & none & none \\
11 & hydrax & 41 & rules cyclopedia (1991) & none & none \\
12 & invisible stalker & 41 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
13 & kryst & 42 & rules cyclopedia (1991) & none & none \\
14 & medusa & 42 & d&d basic rules (1981), d&d basic rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
15 & plasm & 42 & rules cyclopedia (1991) & normal and giant & none \\
16 & salamander & 42 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
17 & undine & 42 & rules cyclopedia (1991) & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& description \\
\midrule
0 & describes additional abilities/penalties applicable to native plane of existence \\
\bottomrule
\end{tabular}
| select description where creature (other planes) = 'djinni, lesser' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>creature (other planes)</th>
<th>page</th>
<th>other appearances</th>
<th>variants</th>
<th>description</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>aerial servant</td>
<td>39</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>basilisk</td>
<td>39</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>2</th>
<td>cockatrice</td>
<td>39</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>3</th>
<td>djinni, lesser</td>
<td>39</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>4</th>
<td>djinni, greater</td>
<td>39</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>efreeti, lesser</td>
<td>39</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>6</th>
<td>efreeti, greater</td>
<td>39-40</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>elemental</td>
<td>40</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional statistics and abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>8</th>
<td>gorgon</td>
<td>40</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>9</th>
<td>helion</td>
<td>40</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>horde</td>
<td>41</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>hydrax</td>
<td>41</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>invisible stalker</td>
<td>41</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>13</th>
<td>kryst</td>
<td>42</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>medusa</td>
<td>42</td>
<td>d&d basic rules (1981), d&d basic rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>15</th>
<td>plasm</td>
<td>42</td>
<td>rules cyclopedia (1991)</td>
<td>normal and giant</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>salamander</td>
<td>42</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>17</th>
<td>undine</td>
<td>42</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>description</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
</tbody>
</table> | select description where creature (other planes) = 'djinni, lesser' <table_name> : table | | creature (other planes) | page | other appearances | variants | description |
|---:|:--------------------------|:-------|:--------------------------------------------------------------------------|:-----------------|:------------------------------------------------------------------------------------------------|
| 0 | aerial servant | 39 | rules cyclopedia (1991) | none | none |
| 1 | basilisk | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 2 | cockatrice | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 3 | djinni, lesser | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 4 | djinni, greater | 39 | rules cyclopedia (1991) | none | none |
| 5 | efreeti, lesser | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 6 | efreeti, greater | 39-40 | rules cyclopedia (1991) | none | none |
| 7 | elemental | 40 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional statistics and abilities/penalties applicable to native plane of existence |
| 8 | gorgon | 40 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 9 | helion | 40 | rules cyclopedia (1991) | none | none |
| 10 | horde | 41 | rules cyclopedia (1991) | none | none |
| 11 | hydrax | 41 | rules cyclopedia (1991) | none | none |
| 12 | invisible stalker | 41 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 13 | kryst | 42 | rules cyclopedia (1991) | none | none |
| 14 | medusa | 42 | d&d basic rules (1981), d&d basic rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 15 | plasm | 42 | rules cyclopedia (1991) | normal and giant | none |
| 16 | salamander | 42 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 17 | undine | 42 | rules cyclopedia (1991) | none | none | | | | description |
|---:|:---------------------------------------------------------------------------------|
| 0 | describes additional abilities/penalties applicable to native plane of existence | | [
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select date - date where opponent = '@ colorado mammoth' col : game | date | opponent | location | score | ot | attendance | record row 1 : 1 | 2005-01-08 00:00:00 | philadelphia wings | arrowhead pond | w 13-10 | none | 5,732 | 1-0 row 2 : 2 | 2005-01-22 00:00:00 | rochester knighthawks | arrowhead pond | l 11-15 | none | 4,053 | 1-1 row 3 : 3 | 2005-01-28 00:00:00 | @ minnesota swarm | xcel energy center | w 8-7 | none | 12,514 | 2-1 row 4 : 4 | 2005-01-29 00:00:00 | calgary roughnecks | arrowhead pond | l 12-13 | none | 4,159 | 2-2 row 5 : 5 | 2005-02-04 00:00:00 | @ arizona sting | jobing.com arena | l 10-17 | none | 6,313 | 2-3 row 6 : 6 | 2005-02-11 00:00:00 | @ buffalo bandits | hsbc arena | l 9-20 | none | 8,805 | 2-4 row 7 : 7 | 2005-02-18 00:00:00 | @ calgary roughnecks | pengrowth saddledome | l 15-18 | none | 9,550 | 2-5 row 8 : 8 | 2005-03-04 00:00:00 | colorado mammoth | arrowhead pond | l 12-13 | none | 4,500 | 2-6 row 9 : 9 | 2005-03-13 00:00:00 | toronto rock | arrowhead pond | l 6-14 | none | 4,499 | 2-7 row 10 : 10 | 2005-03-19 00:00:00 | @ colorado mammoth | pepsi center | l 8-16 | none | 16,270 | 2-8 row 11 : 11 | 2005-03-25 00:00:00 | @ san jose stealth | hp pavilion at san jose | l 14-15 | none | 5,022 | 2-9 row 12 : 12 | 2005-03-26 00:00:00 | san jose stealth | arrowhead pond | w 13-12 | ot | 4,834 | 3-9 row 13 : 13 | 2005-04-02 00:00:00 | @ colorado mammoth | pepsi center | w 10-6 | none | 18,326 | 4-9 row 14 : 14 | 2005-04-09 00:00:00 | minnesota swarm | arrowhead pond | l 11-12 | ot | 4,967 | 4-10 row 15 : 15 | 2005-04-15 00:00:00 | arizona sting | arrowhead pond | l 12-14 | none | 5,891 | 4-11 row 16 : 16 | 2005-04-16 00:00:00 | @ arizona sting | jobing.com arena | w 11-10 | none | 7,731 | 5-11 | col : "date - date" row 1 : date - date row 2 : date - date | select date - date where opponent = '@ colorado mammoth' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& game & date & opponent & location & score & ot & attendance & record \\
\midrule
0 & 1 & 2005-01-08 00:00:00 & philadelphia wings & arrowhead pond & w 13-10 & none & 5,732 & 1-0 \\
1 & 2 & 2005-01-22 00:00:00 & rochester knighthawks & arrowhead pond & l 11-15 & none & 4,053 & 1-1 \\
2 & 3 & 2005-01-28 00:00:00 & @ minnesota swarm & xcel energy center & w 8-7 & none & 12,514 & 2-1 \\
3 & 4 & 2005-01-29 00:00:00 & calgary roughnecks & arrowhead pond & l 12-13 & none & 4,159 & 2-2 \\
4 & 5 & 2005-02-04 00:00:00 & @ arizona sting & jobing.com arena & l 10-17 & none & 6,313 & 2-3 \\
5 & 6 & 2005-02-11 00:00:00 & @ buffalo bandits & hsbc arena & l 9-20 & none & 8,805 & 2-4 \\
6 & 7 & 2005-02-18 00:00:00 & @ calgary roughnecks & pengrowth saddledome & l 15-18 & none & 9,550 & 2-5 \\
7 & 8 & 2005-03-04 00:00:00 & colorado mammoth & arrowhead pond & l 12-13 & none & 4,500 & 2-6 \\
8 & 9 & 2005-03-13 00:00:00 & toronto rock & arrowhead pond & l 6-14 & none & 4,499 & 2-7 \\
9 & 10 & 2005-03-19 00:00:00 & @ colorado mammoth & pepsi center & l 8-16 & none & 16,270 & 2-8 \\
10 & 11 & 2005-03-25 00:00:00 & @ san jose stealth & hp pavilion at san jose & l 14-15 & none & 5,022 & 2-9 \\
11 & 12 & 2005-03-26 00:00:00 & san jose stealth & arrowhead pond & w 13-12 & ot & 4,834 & 3-9 \\
12 & 13 & 2005-04-02 00:00:00 & @ colorado mammoth & pepsi center & w 10-6 & none & 18,326 & 4-9 \\
13 & 14 & 2005-04-09 00:00:00 & minnesota swarm & arrowhead pond & l 11-12 & ot & 4,967 & 4-10 \\
14 & 15 & 2005-04-15 00:00:00 & arizona sting & arrowhead pond & l 12-14 & none & 5,891 & 4-11 \\
15 & 16 & 2005-04-16 00:00:00 & @ arizona sting & jobing.com arena & w 11-10 & none & 7,731 & 5-11 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "date - date" \\
\midrule
0 & date - date \\
1 & date - date \\
\bottomrule
\end{tabular}
| select date - date where opponent = '@ colorado mammoth' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>game</th>
<th>date</th>
<th>opponent</th>
<th>location</th>
<th>score</th>
<th>ot</th>
<th>attendance</th>
<th>record</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2005-01-08 00:00:00</td>
<td>philadelphia wings</td>
<td>arrowhead pond</td>
<td>w 13-10</td>
<td>none</td>
<td>5,732</td>
<td>1-0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2005-01-22 00:00:00</td>
<td>rochester knighthawks</td>
<td>arrowhead pond</td>
<td>l 11-15</td>
<td>none</td>
<td>4,053</td>
<td>1-1</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2005-01-28 00:00:00</td>
<td>@ minnesota swarm</td>
<td>xcel energy center</td>
<td>w 8-7</td>
<td>none</td>
<td>12,514</td>
<td>2-1</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2005-01-29 00:00:00</td>
<td>calgary roughnecks</td>
<td>arrowhead pond</td>
<td>l 12-13</td>
<td>none</td>
<td>4,159</td>
<td>2-2</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2005-02-04 00:00:00</td>
<td>@ arizona sting</td>
<td>jobing.com arena</td>
<td>l 10-17</td>
<td>none</td>
<td>6,313</td>
<td>2-3</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2005-02-11 00:00:00</td>
<td>@ buffalo bandits</td>
<td>hsbc arena</td>
<td>l 9-20</td>
<td>none</td>
<td>8,805</td>
<td>2-4</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2005-02-18 00:00:00</td>
<td>@ calgary roughnecks</td>
<td>pengrowth saddledome</td>
<td>l 15-18</td>
<td>none</td>
<td>9,550</td>
<td>2-5</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2005-03-04 00:00:00</td>
<td>colorado mammoth</td>
<td>arrowhead pond</td>
<td>l 12-13</td>
<td>none</td>
<td>4,500</td>
<td>2-6</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2005-03-13 00:00:00</td>
<td>toronto rock</td>
<td>arrowhead pond</td>
<td>l 6-14</td>
<td>none</td>
<td>4,499</td>
<td>2-7</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2005-03-19 00:00:00</td>
<td>@ colorado mammoth</td>
<td>pepsi center</td>
<td>l 8-16</td>
<td>none</td>
<td>16,270</td>
<td>2-8</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2005-03-25 00:00:00</td>
<td>@ san jose stealth</td>
<td>hp pavilion at san jose</td>
<td>l 14-15</td>
<td>none</td>
<td>5,022</td>
<td>2-9</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>2005-03-26 00:00:00</td>
<td>san jose stealth</td>
<td>arrowhead pond</td>
<td>w 13-12</td>
<td>ot</td>
<td>4,834</td>
<td>3-9</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>2005-04-02 00:00:00</td>
<td>@ colorado mammoth</td>
<td>pepsi center</td>
<td>w 10-6</td>
<td>none</td>
<td>18,326</td>
<td>4-9</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>2005-04-09 00:00:00</td>
<td>minnesota swarm</td>
<td>arrowhead pond</td>
<td>l 11-12</td>
<td>ot</td>
<td>4,967</td>
<td>4-10</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>2005-04-15 00:00:00</td>
<td>arizona sting</td>
<td>arrowhead pond</td>
<td>l 12-14</td>
<td>none</td>
<td>5,891</td>
<td>4-11</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>2005-04-16 00:00:00</td>
<td>@ arizona sting</td>
<td>jobing.com arena</td>
<td>w 11-10</td>
<td>none</td>
<td>7,731</td>
<td>5-11</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"date - date"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>date - date</td>
</tr>
<tr>
<th>1</th>
<td>date - date</td>
</tr>
</tbody>
</table> | select date - date where opponent = '@ colorado mammoth' <table_name> : table | | game | date | opponent | location | score | ot | attendance | record |
|---:|-------:|:--------------------|:----------------------|:------------------------|:--------|:-----|:-------------|:---------|
| 0 | 1 | 2005-01-08 00:00:00 | philadelphia wings | arrowhead pond | w 13-10 | none | 5,732 | 1-0 |
| 1 | 2 | 2005-01-22 00:00:00 | rochester knighthawks | arrowhead pond | l 11-15 | none | 4,053 | 1-1 |
| 2 | 3 | 2005-01-28 00:00:00 | @ minnesota swarm | xcel energy center | w 8-7 | none | 12,514 | 2-1 |
| 3 | 4 | 2005-01-29 00:00:00 | calgary roughnecks | arrowhead pond | l 12-13 | none | 4,159 | 2-2 |
| 4 | 5 | 2005-02-04 00:00:00 | @ arizona sting | jobing.com arena | l 10-17 | none | 6,313 | 2-3 |
| 5 | 6 | 2005-02-11 00:00:00 | @ buffalo bandits | hsbc arena | l 9-20 | none | 8,805 | 2-4 |
| 6 | 7 | 2005-02-18 00:00:00 | @ calgary roughnecks | pengrowth saddledome | l 15-18 | none | 9,550 | 2-5 |
| 7 | 8 | 2005-03-04 00:00:00 | colorado mammoth | arrowhead pond | l 12-13 | none | 4,500 | 2-6 |
| 8 | 9 | 2005-03-13 00:00:00 | toronto rock | arrowhead pond | l 6-14 | none | 4,499 | 2-7 |
| 9 | 10 | 2005-03-19 00:00:00 | @ colorado mammoth | pepsi center | l 8-16 | none | 16,270 | 2-8 |
| 10 | 11 | 2005-03-25 00:00:00 | @ san jose stealth | hp pavilion at san jose | l 14-15 | none | 5,022 | 2-9 |
| 11 | 12 | 2005-03-26 00:00:00 | san jose stealth | arrowhead pond | w 13-12 | ot | 4,834 | 3-9 |
| 12 | 13 | 2005-04-02 00:00:00 | @ colorado mammoth | pepsi center | w 10-6 | none | 18,326 | 4-9 |
| 13 | 14 | 2005-04-09 00:00:00 | minnesota swarm | arrowhead pond | l 11-12 | ot | 4,967 | 4-10 |
| 14 | 15 | 2005-04-15 00:00:00 | arizona sting | arrowhead pond | l 12-14 | none | 5,891 | 4-11 |
| 15 | 16 | 2005-04-16 00:00:00 | @ arizona sting | jobing.com arena | w 11-10 | none | 7,731 | 5-11 | | | | "date - date" |
|---:|:----------------|
| 0 | date - date |
| 1 | date - date | | [
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] |
select nation where nation = 'cuba' and nation != 104 col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 11 | 1 | 2 | 14 row 2 : 2 | chinese taipei | 2 | 2 | 5 | 9 row 3 : 3 | spain | 2 | 0 | 4 | 6 row 4 : 4 | egypt | 1 | 0 | 0 | 1 row 5 : 5 | france | 0 | 2 | 1 | 3 row 6 : 5 | iran | 0 | 2 | 1 | 3 row 7 : 7 | china | 0 | 1 | 1 | 2 row 8 : 7 | cuba | 0 | 1 | 1 | 2 row 9 : 7 | greece | 0 | 1 | 1 | 2 row 10 : 7 | turkey | 0 | 1 | 1 | 2 row 11 : 11 | canada | 0 | 1 | 0 | 1 row 12 : 11 | germany | 0 | 1 | 0 | 1 row 13 : 11 | morocco | 0 | 1 | 0 | 1 row 14 : 11 | philippines | 0 | 1 | 0 | 1 row 15 : 11 | russia | 0 | 1 | 0 | 1 row 16 : 16 | mexico | 0 | 0 | 4 | 4 row 17 : 17 | australia | 0 | 0 | 3 | 3 row 18 : 18 | croatia | 0 | 0 | 2 | 2 row 19 : 18 | united states | 0 | 0 | 2 | 2 row 20 : 20 | ecuador | 0 | 0 | 1 | 1 row 21 : 20 | saudi arabia | 0 | 0 | 1 | 1 row 22 : 20 | thailand | 0 | 0 | 1 | 1 row 23 : 20 | yugoslavia | 0 | 0 | 1 | 1 row 24 : total | total | 16 | 16 | 32 | 64 | col : nation row 1 : cuba | select nation where nation = 'cuba' and nation != 104 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & south korea & 11 & 1 & 2 & 14 \\
1 & 2 & chinese taipei & 2 & 2 & 5 & 9 \\
2 & 3 & spain & 2 & 0 & 4 & 6 \\
3 & 4 & egypt & 1 & 0 & 0 & 1 \\
4 & 5 & france & 0 & 2 & 1 & 3 \\
5 & 5 & iran & 0 & 2 & 1 & 3 \\
6 & 7 & china & 0 & 1 & 1 & 2 \\
7 & 7 & cuba & 0 & 1 & 1 & 2 \\
8 & 7 & greece & 0 & 1 & 1 & 2 \\
9 & 7 & turkey & 0 & 1 & 1 & 2 \\
10 & 11 & canada & 0 & 1 & 0 & 1 \\
11 & 11 & germany & 0 & 1 & 0 & 1 \\
12 & 11 & morocco & 0 & 1 & 0 & 1 \\
13 & 11 & philippines & 0 & 1 & 0 & 1 \\
14 & 11 & russia & 0 & 1 & 0 & 1 \\
15 & 16 & mexico & 0 & 0 & 4 & 4 \\
16 & 17 & australia & 0 & 0 & 3 & 3 \\
17 & 18 & croatia & 0 & 0 & 2 & 2 \\
18 & 18 & united states & 0 & 0 & 2 & 2 \\
19 & 20 & ecuador & 0 & 0 & 1 & 1 \\
20 & 20 & saudi arabia & 0 & 0 & 1 & 1 \\
21 & 20 & thailand & 0 & 0 & 1 & 1 \\
22 & 20 & yugoslavia & 0 & 0 & 1 & 1 \\
23 & total & total & 16 & 16 & 32 & 64 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nation \\
\midrule
0 & cuba \\
\bottomrule
\end{tabular}
| select nation where nation = 'cuba' and nation != 104 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>south korea</td>
<td>11</td>
<td>1</td>
<td>2</td>
<td>14</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>chinese taipei</td>
<td>2</td>
<td>2</td>
<td>5</td>
<td>9</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>spain</td>
<td>2</td>
<td>0</td>
<td>4</td>
<td>6</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>egypt</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>france</td>
<td>0</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>5</td>
<td>iran</td>
<td>0</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>china</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>cuba</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>8</th>
<td>7</td>
<td>greece</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>7</td>
<td>turkey</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>canada</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>germany</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>11</td>
<td>morocco</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>11</td>
<td>philippines</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>14</th>
<td>11</td>
<td>russia</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>mexico</td>
<td>0</td>
<td>0</td>
<td>4</td>
<td>4</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>australia</td>
<td>0</td>
<td>0</td>
<td>3</td>
<td>3</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>croatia</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>18</th>
<td>18</td>
<td>united states</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>ecuador</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>20</td>
<td>saudi arabia</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>21</th>
<td>20</td>
<td>thailand</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>22</th>
<td>20</td>
<td>yugoslavia</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>23</th>
<td>total</td>
<td>total</td>
<td>16</td>
<td>16</td>
<td>32</td>
<td>64</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>cuba</td>
</tr>
</tbody>
</table> | select nation where nation = 'cuba' and nation != 104 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:---------------|-------:|---------:|---------:|--------:|
| 0 | 1 | south korea | 11 | 1 | 2 | 14 |
| 1 | 2 | chinese taipei | 2 | 2 | 5 | 9 |
| 2 | 3 | spain | 2 | 0 | 4 | 6 |
| 3 | 4 | egypt | 1 | 0 | 0 | 1 |
| 4 | 5 | france | 0 | 2 | 1 | 3 |
| 5 | 5 | iran | 0 | 2 | 1 | 3 |
| 6 | 7 | china | 0 | 1 | 1 | 2 |
| 7 | 7 | cuba | 0 | 1 | 1 | 2 |
| 8 | 7 | greece | 0 | 1 | 1 | 2 |
| 9 | 7 | turkey | 0 | 1 | 1 | 2 |
| 10 | 11 | canada | 0 | 1 | 0 | 1 |
| 11 | 11 | germany | 0 | 1 | 0 | 1 |
| 12 | 11 | morocco | 0 | 1 | 0 | 1 |
| 13 | 11 | philippines | 0 | 1 | 0 | 1 |
| 14 | 11 | russia | 0 | 1 | 0 | 1 |
| 15 | 16 | mexico | 0 | 0 | 4 | 4 |
| 16 | 17 | australia | 0 | 0 | 3 | 3 |
| 17 | 18 | croatia | 0 | 0 | 2 | 2 |
| 18 | 18 | united states | 0 | 0 | 2 | 2 |
| 19 | 20 | ecuador | 0 | 0 | 1 | 1 |
| 20 | 20 | saudi arabia | 0 | 0 | 1 | 1 |
| 21 | 20 | thailand | 0 | 0 | 1 | 1 |
| 22 | 20 | yugoslavia | 0 | 0 | 1 | 1 |
| 23 | total | total | 16 | 16 | 32 | 64 | | | | nation |
|---:|:---------|
| 0 | cuba | | [
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] |
select npc where npc = 'poland (pol)' col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr) | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522 | col : npc row 1 : poland (pol) | select npc where npc = 'poland (pol)' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & npc & gold & silver & bronze & total \\
\midrule
0 & 1 & china (chn) & 95 & 71 & 65 & 231 \\
1 & 2 & russia (rus) & 36 & 38 & 28 & 102 \\
2 & 3 & great britain (gbr) & 34 & 43 & 43 & 120 \\
3 & 4 & ukraine (ukr) & 32 & 24 & 28 & 84 \\
4 & 5 & australia (aus) & 32 & 23 & 30 & 85 \\
5 & 6 & united states (usa) & 31 & 29 & 38 & 98 \\
6 & 7 & brazil (bra) & 21 & 14 & 8 & 43 \\
7 & 8 & germany (ger) & 18 & 26 & 22 & 66 \\
8 & 9 & poland (pol) & 14 & 13 & 9 & 36 \\
9 & 10 & netherlands (ned) & 10 & 10 & 19 & 39 \\
10 & total (75 npcs) & total (75 npcs) & 503 & 503 & 516 & 1522 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& npc \\
\midrule
0 & poland (pol) \\
\bottomrule
\end{tabular}
| select npc where npc = 'poland (pol)' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>npc</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>china (chn)</td>
<td>95</td>
<td>71</td>
<td>65</td>
<td>231</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>russia (rus)</td>
<td>36</td>
<td>38</td>
<td>28</td>
<td>102</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>great britain (gbr)</td>
<td>34</td>
<td>43</td>
<td>43</td>
<td>120</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>ukraine (ukr)</td>
<td>32</td>
<td>24</td>
<td>28</td>
<td>84</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>australia (aus)</td>
<td>32</td>
<td>23</td>
<td>30</td>
<td>85</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>united states (usa)</td>
<td>31</td>
<td>29</td>
<td>38</td>
<td>98</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>brazil (bra)</td>
<td>21</td>
<td>14</td>
<td>8</td>
<td>43</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>germany (ger)</td>
<td>18</td>
<td>26</td>
<td>22</td>
<td>66</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>poland (pol)</td>
<td>14</td>
<td>13</td>
<td>9</td>
<td>36</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>netherlands (ned)</td>
<td>10</td>
<td>10</td>
<td>19</td>
<td>39</td>
</tr>
<tr>
<th>10</th>
<td>total (75 npcs)</td>
<td>total (75 npcs)</td>
<td>503</td>
<td>503</td>
<td>516</td>
<td>1522</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>npc</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>poland (pol)</td>
</tr>
</tbody>
</table> | select npc where npc = 'poland (pol)' <table_name> : table | | rank | npc | gold | silver | bronze | total |
|---:|:----------------|:--------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | china (chn) | 95 | 71 | 65 | 231 |
| 1 | 2 | russia (rus) | 36 | 38 | 28 | 102 |
| 2 | 3 | great britain (gbr) | 34 | 43 | 43 | 120 |
| 3 | 4 | ukraine (ukr) | 32 | 24 | 28 | 84 |
| 4 | 5 | australia (aus) | 32 | 23 | 30 | 85 |
| 5 | 6 | united states (usa) | 31 | 29 | 38 | 98 |
| 6 | 7 | brazil (bra) | 21 | 14 | 8 | 43 |
| 7 | 8 | germany (ger) | 18 | 26 | 22 | 66 |
| 8 | 9 | poland (pol) | 14 | 13 | 9 | 36 |
| 9 | 10 | netherlands (ned) | 10 | 10 | 19 | 39 |
| 10 | total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522 | | | | npc |
|---:|:-------------|
| 0 | poland (pol) | | [
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select count ( squad # ) where squad # > 0 col : squad # | position | player | transferred to | fee | date row 1 : 20 | df | lau nim yat | biu chun rangers | free transfer | 2012-06-05 00:00:00 row 2 : 16 | mf | leung chun pong | guangdong sunray cave | free transfer | 2012-06-12 00:00:00 row 3 : 3 | df | yeo jee-hoon | unattached (released) | none | 2012-07-09 00:00:00 row 4 : 8 | mf | xu deshuai | sun pegasus | free transfer (released) | 2012-07-09 00:00:00 row 5 : 11 | mf | li haiqiang | tuen mun | free transfer (released) | 2012-07-09 00:00:00 row 6 : 22 | fw | giovane alves da silva | biu chun rangers | free transfer (released) | 2012-07-09 00:00:00 row 7 : 23 | gk | zhang chunhui | sunray cave jc sun hei | free transfer (released) | 2012-07-09 00:00:00 row 8 : 26 | mf | chan pak hang | sun pegasus | free transfer (released) | 2012-07-09 00:00:00 row 9 : 7 | fw | chan siu ki | guangdong sunray cave | free transfer (released) | 2012-07-10 00:00:00 row 10 : none | mf | kot cho wai | sunray cave jc sun hei | undisclosed | 2012-07-16 00:00:00 row 11 : 6 | df | wong chin hung | biu chun rangers | free transfer | 2013-01-09 00:00:00 row 12 : 33 | fw | mauro rafael da silva | unattached (released) | free transfer | 2013-02-01 00:00:00 | col : count ( "squad #" ) row 1 : 12 | select count ( squad # ) where squad # > 0 <table_name> : table \begin{tabular}{lllllll}
\toprule
& squad # & position & player & transferred to & fee & date \\
\midrule
0 & 20 & df & lau nim yat & biu chun rangers & free transfer & 2012-06-05 00:00:00 \\
1 & 16 & mf & leung chun pong & guangdong sunray cave & free transfer & 2012-06-12 00:00:00 \\
2 & 3 & df & yeo jee-hoon & unattached (released) & none & 2012-07-09 00:00:00 \\
3 & 8 & mf & xu deshuai & sun pegasus & free transfer (released) & 2012-07-09 00:00:00 \\
4 & 11 & mf & li haiqiang & tuen mun & free transfer (released) & 2012-07-09 00:00:00 \\
5 & 22 & fw & giovane alves da silva & biu chun rangers & free transfer (released) & 2012-07-09 00:00:00 \\
6 & 23 & gk & zhang chunhui & sunray cave jc sun hei & free transfer (released) & 2012-07-09 00:00:00 \\
7 & 26 & mf & chan pak hang & sun pegasus & free transfer (released) & 2012-07-09 00:00:00 \\
8 & 7 & fw & chan siu ki & guangdong sunray cave & free transfer (released) & 2012-07-10 00:00:00 \\
9 & none & mf & kot cho wai & sunray cave jc sun hei & undisclosed & 2012-07-16 00:00:00 \\
10 & 6 & df & wong chin hung & biu chun rangers & free transfer & 2013-01-09 00:00:00 \\
11 & 33 & fw & mauro rafael da silva & unattached (released) & free transfer & 2013-02-01 00:00:00 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "squad #" ) \\
\midrule
0 & 12 \\
\bottomrule
\end{tabular}
| select count ( squad # ) where squad # > 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>squad #</th>
<th>position</th>
<th>player</th>
<th>transferred to</th>
<th>fee</th>
<th>date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>20</td>
<td>df</td>
<td>lau nim yat</td>
<td>biu chun rangers</td>
<td>free transfer</td>
<td>2012-06-05 00:00:00</td>
</tr>
<tr>
<th>1</th>
<td>16</td>
<td>mf</td>
<td>leung chun pong</td>
<td>guangdong sunray cave</td>
<td>free transfer</td>
<td>2012-06-12 00:00:00</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>df</td>
<td>yeo jee-hoon</td>
<td>unattached (released)</td>
<td>none</td>
<td>2012-07-09 00:00:00</td>
</tr>
<tr>
<th>3</th>
<td>8</td>
<td>mf</td>
<td>xu deshuai</td>
<td>sun pegasus</td>
<td>free transfer (released)</td>
<td>2012-07-09 00:00:00</td>
</tr>
<tr>
<th>4</th>
<td>11</td>
<td>mf</td>
<td>li haiqiang</td>
<td>tuen mun</td>
<td>free transfer (released)</td>
<td>2012-07-09 00:00:00</td>
</tr>
<tr>
<th>5</th>
<td>22</td>
<td>fw</td>
<td>giovane alves da silva</td>
<td>biu chun rangers</td>
<td>free transfer (released)</td>
<td>2012-07-09 00:00:00</td>
</tr>
<tr>
<th>6</th>
<td>23</td>
<td>gk</td>
<td>zhang chunhui</td>
<td>sunray cave jc sun hei</td>
<td>free transfer (released)</td>
<td>2012-07-09 00:00:00</td>
</tr>
<tr>
<th>7</th>
<td>26</td>
<td>mf</td>
<td>chan pak hang</td>
<td>sun pegasus</td>
<td>free transfer (released)</td>
<td>2012-07-09 00:00:00</td>
</tr>
<tr>
<th>8</th>
<td>7</td>
<td>fw</td>
<td>chan siu ki</td>
<td>guangdong sunray cave</td>
<td>free transfer (released)</td>
<td>2012-07-10 00:00:00</td>
</tr>
<tr>
<th>9</th>
<td>none</td>
<td>mf</td>
<td>kot cho wai</td>
<td>sunray cave jc sun hei</td>
<td>undisclosed</td>
<td>2012-07-16 00:00:00</td>
</tr>
<tr>
<th>10</th>
<td>6</td>
<td>df</td>
<td>wong chin hung</td>
<td>biu chun rangers</td>
<td>free transfer</td>
<td>2013-01-09 00:00:00</td>
</tr>
<tr>
<th>11</th>
<td>33</td>
<td>fw</td>
<td>mauro rafael da silva</td>
<td>unattached (released)</td>
<td>free transfer</td>
<td>2013-02-01 00:00:00</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "squad #" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>12</td>
</tr>
</tbody>
</table> | select count ( squad # ) where squad # > 0 <table_name> : table | | squad # | position | player | transferred to | fee | date |
|---:|:----------|:-----------|:-----------------------|:-----------------------|:-------------------------|:--------------------|
| 0 | 20 | df | lau nim yat | biu chun rangers | free transfer | 2012-06-05 00:00:00 |
| 1 | 16 | mf | leung chun pong | guangdong sunray cave | free transfer | 2012-06-12 00:00:00 |
| 2 | 3 | df | yeo jee-hoon | unattached (released) | none | 2012-07-09 00:00:00 |
| 3 | 8 | mf | xu deshuai | sun pegasus | free transfer (released) | 2012-07-09 00:00:00 |
| 4 | 11 | mf | li haiqiang | tuen mun | free transfer (released) | 2012-07-09 00:00:00 |
| 5 | 22 | fw | giovane alves da silva | biu chun rangers | free transfer (released) | 2012-07-09 00:00:00 |
| 6 | 23 | gk | zhang chunhui | sunray cave jc sun hei | free transfer (released) | 2012-07-09 00:00:00 |
| 7 | 26 | mf | chan pak hang | sun pegasus | free transfer (released) | 2012-07-09 00:00:00 |
| 8 | 7 | fw | chan siu ki | guangdong sunray cave | free transfer (released) | 2012-07-10 00:00:00 |
| 9 | none | mf | kot cho wai | sunray cave jc sun hei | undisclosed | 2012-07-16 00:00:00 |
| 10 | 6 | df | wong chin hung | biu chun rangers | free transfer | 2013-01-09 00:00:00 |
| 11 | 33 | fw | mauro rafael da silva | unattached (released) | free transfer | 2013-02-01 00:00:00 | | | | count ( "squad #" ) |
|---:|----------------------:|
| 0 | 12 | | [
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select count ( outcome ) where opponent = 'yanina wickmayer' col : outcome | edition | round | opponent team | surface | opponent | score row 1 : loser | 2010 | world group playoffs | slovakia | clay (i) | daniela hantuchova | 6-2, 6-2 row 2 : winner | 2010 | world group playoffs | slovakia | clay (i) | magdalena rybarikova | 6-1, 7-6(7-4) row 3 : winner | 2011 | world group ii | canada | hard (i) | aleksandra wozniak | 6-4, 7-5 row 4 : winner | 2011 | world group ii | canada | hard (i) | rebecca marino | 7-6(7-3), 6-3 row 5 : loser | 2011 | world group playoffs | slovakia | clay (i) | dominika cibulkova | 6-4, 3-6, 1-6 row 6 : loser | 2012 | world group | belgium | hard (i) | yanina wickmayer | 4-6, 4-6 row 7 : winner | 2012 | world group | belgium | hard (i) | kirsten flipkens | 6-2, 6-4 | col : count ( "outcome" ) row 1 : 1 | select count ( outcome ) where opponent = 'yanina wickmayer' <table_name> : table \begin{tabular}{llllllll}
\toprule
& outcome & edition & round & opponent team & surface & opponent & score \\
\midrule
0 & loser & 2010 & world group playoffs & slovakia & clay (i) & daniela hantuchova & 6-2, 6-2 \\
1 & winner & 2010 & world group playoffs & slovakia & clay (i) & magdalena rybarikova & 6-1, 7-6(7-4) \\
2 & winner & 2011 & world group ii & canada & hard (i) & aleksandra wozniak & 6-4, 7-5 \\
3 & winner & 2011 & world group ii & canada & hard (i) & rebecca marino & 7-6(7-3), 6-3 \\
4 & loser & 2011 & world group playoffs & slovakia & clay (i) & dominika cibulkova & 6-4, 3-6, 1-6 \\
5 & loser & 2012 & world group & belgium & hard (i) & yanina wickmayer & 4-6, 4-6 \\
6 & winner & 2012 & world group & belgium & hard (i) & kirsten flipkens & 6-2, 6-4 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "outcome" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( outcome ) where opponent = 'yanina wickmayer' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>outcome</th>
<th>edition</th>
<th>round</th>
<th>opponent team</th>
<th>surface</th>
<th>opponent</th>
<th>score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>loser</td>
<td>2010</td>
<td>world group playoffs</td>
<td>slovakia</td>
<td>clay (i)</td>
<td>daniela hantuchova</td>
<td>6-2, 6-2</td>
</tr>
<tr>
<th>1</th>
<td>winner</td>
<td>2010</td>
<td>world group playoffs</td>
<td>slovakia</td>
<td>clay (i)</td>
<td>magdalena rybarikova</td>
<td>6-1, 7-6(7-4)</td>
</tr>
<tr>
<th>2</th>
<td>winner</td>
<td>2011</td>
<td>world group ii</td>
<td>canada</td>
<td>hard (i)</td>
<td>aleksandra wozniak</td>
<td>6-4, 7-5</td>
</tr>
<tr>
<th>3</th>
<td>winner</td>
<td>2011</td>
<td>world group ii</td>
<td>canada</td>
<td>hard (i)</td>
<td>rebecca marino</td>
<td>7-6(7-3), 6-3</td>
</tr>
<tr>
<th>4</th>
<td>loser</td>
<td>2011</td>
<td>world group playoffs</td>
<td>slovakia</td>
<td>clay (i)</td>
<td>dominika cibulkova</td>
<td>6-4, 3-6, 1-6</td>
</tr>
<tr>
<th>5</th>
<td>loser</td>
<td>2012</td>
<td>world group</td>
<td>belgium</td>
<td>hard (i)</td>
<td>yanina wickmayer</td>
<td>4-6, 4-6</td>
</tr>
<tr>
<th>6</th>
<td>winner</td>
<td>2012</td>
<td>world group</td>
<td>belgium</td>
<td>hard (i)</td>
<td>kirsten flipkens</td>
<td>6-2, 6-4</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "outcome" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( outcome ) where opponent = 'yanina wickmayer' <table_name> : table | | outcome | edition | round | opponent team | surface | opponent | score |
|---:|:----------|----------:|:---------------------|:----------------|:----------|:---------------------|:--------------|
| 0 | loser | 2010 | world group playoffs | slovakia | clay (i) | daniela hantuchova | 6-2, 6-2 |
| 1 | winner | 2010 | world group playoffs | slovakia | clay (i) | magdalena rybarikova | 6-1, 7-6(7-4) |
| 2 | winner | 2011 | world group ii | canada | hard (i) | aleksandra wozniak | 6-4, 7-5 |
| 3 | winner | 2011 | world group ii | canada | hard (i) | rebecca marino | 7-6(7-3), 6-3 |
| 4 | loser | 2011 | world group playoffs | slovakia | clay (i) | dominika cibulkova | 6-4, 3-6, 1-6 |
| 5 | loser | 2012 | world group | belgium | hard (i) | yanina wickmayer | 4-6, 4-6 |
| 6 | winner | 2012 | world group | belgium | hard (i) | kirsten flipkens | 6-2, 6-4 | | | | count ( "outcome" ) |
|---:|----------------------:|
| 0 | 1 | | [
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select # where opponent = 'mali' col : # | date | venue | opponent | score | result | competition row 1 : 1 | 2011-02-08 00:00:00 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly row 2 : 2 | 2011-05-11 00:00:00 | stade felix houphouet-boigny, abidjan, cote d'ivoire | namibia | 4-1 | 5-1 | friendly row 3 : 3 | 2011-06-05 00:00:00 | stade de l'amitie, cotonou, benin | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h row 4 : 4 | 2011-08-10 00:00:00 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly row 5 : 5 | 2011-09-03 00:00:00 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h row 6 : 6 | 2012-11-14 00:00:00 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly row 7 : 7 | 2013-01-14 00:00:00 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly row 8 : 8 | 2013-01-26 00:00:00 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations | col : # row 1 : 1 | select # where opponent = 'mali' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 2011-02-08 00:00:00 & stade georges pompidou, valence, france & mali & 1-0 & 1-0 & friendly \\
1 & 2 & 2011-05-11 00:00:00 & stade felix houphouet-boigny, abidjan, cote d'ivoire & namibia & 4-1 & 5-1 & friendly \\
2 & 3 & 2011-06-05 00:00:00 & stade de l'amitie, cotonou, benin & benin & 0-1 & 2-6 & 2012 africa cup of nations qualification - group h \\
3 & 4 & 2011-08-10 00:00:00 & stade de geneve, geneve, switzerland & israel & 1-0 & 4-3 & friendly \\
4 & 5 & 2011-09-03 00:00:00 & stade amahoro, kigali, rwanda & rwanda & 0-4 & 0-5 & 2012 africa cup of nations qualification - group h \\
5 & 6 & 2012-11-14 00:00:00 & linzer stadion, linz, austria & austria & 0-1 & 0-3 & friendly \\
6 & 7 & 2013-01-14 00:00:00 & al nahyan stadium, abu dhabi, united arab emirates & egypt & 4-2 & 4-2 & friendly \\
7 & 8 & 2013-01-26 00:00:00 & royal bafokeng stadium, rustenburg, south africa & tunisia & 3-0 & 3-0 & 2013 africa cup of nations \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& # \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select # where opponent = 'mali' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2011-02-08 00:00:00</td>
<td>stade georges pompidou, valence, france</td>
<td>mali</td>
<td>1-0</td>
<td>1-0</td>
<td>friendly</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2011-05-11 00:00:00</td>
<td>stade felix houphouet-boigny, abidjan, cote d'ivoire</td>
<td>namibia</td>
<td>4-1</td>
<td>5-1</td>
<td>friendly</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2011-06-05 00:00:00</td>
<td>stade de l'amitie, cotonou, benin</td>
<td>benin</td>
<td>0-1</td>
<td>2-6</td>
<td>2012 africa cup of nations qualification - group h</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2011-08-10 00:00:00</td>
<td>stade de geneve, geneve, switzerland</td>
<td>israel</td>
<td>1-0</td>
<td>4-3</td>
<td>friendly</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2011-09-03 00:00:00</td>
<td>stade amahoro, kigali, rwanda</td>
<td>rwanda</td>
<td>0-4</td>
<td>0-5</td>
<td>2012 africa cup of nations qualification - group h</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2012-11-14 00:00:00</td>
<td>linzer stadion, linz, austria</td>
<td>austria</td>
<td>0-1</td>
<td>0-3</td>
<td>friendly</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2013-01-14 00:00:00</td>
<td>al nahyan stadium, abu dhabi, united arab emirates</td>
<td>egypt</td>
<td>4-2</td>
<td>4-2</td>
<td>friendly</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2013-01-26 00:00:00</td>
<td>royal bafokeng stadium, rustenburg, south africa</td>
<td>tunisia</td>
<td>3-0</td>
<td>3-0</td>
<td>2013 africa cup of nations</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select # where opponent = 'mali' <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:-----------------------------------------------------|:-----------|:--------|:---------|:---------------------------------------------------|
| 0 | 1 | 2011-02-08 00:00:00 | stade georges pompidou, valence, france | mali | 1-0 | 1-0 | friendly |
| 1 | 2 | 2011-05-11 00:00:00 | stade felix houphouet-boigny, abidjan, cote d'ivoire | namibia | 4-1 | 5-1 | friendly |
| 2 | 3 | 2011-06-05 00:00:00 | stade de l'amitie, cotonou, benin | benin | 0-1 | 2-6 | 2012 africa cup of nations qualification - group h |
| 3 | 4 | 2011-08-10 00:00:00 | stade de geneve, geneve, switzerland | israel | 1-0 | 4-3 | friendly |
| 4 | 5 | 2011-09-03 00:00:00 | stade amahoro, kigali, rwanda | rwanda | 0-4 | 0-5 | 2012 africa cup of nations qualification - group h |
| 5 | 6 | 2012-11-14 00:00:00 | linzer stadion, linz, austria | austria | 0-1 | 0-3 | friendly |
| 6 | 7 | 2013-01-14 00:00:00 | al nahyan stadium, abu dhabi, united arab emirates | egypt | 4-2 | 4-2 | friendly |
| 7 | 8 | 2013-01-26 00:00:00 | royal bafokeng stadium, rustenburg, south africa | tunisia | 3-0 | 3-0 | 2013 africa cup of nations | | | | # |
|---:|----:|
| 0 | 1 | | [
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select count ( * ) where model = 'd40lfr' col : make/model | series | model | year | notes row 1 : new flyer | 101-135 | d40lfr | 2010 | none row 2 : new flyer | 140-169 | d40lfr | 2011 | 140-143 145-153 155-169 wrap for rt 144 and 154 lost there rt wraps row 3 : new flyer | 201-230 | d40lf | 2004 | 204 retired due to fire row 4 : new flyer | 231-260 | d40lf | 2005 | none row 5 : new flyer | 270-281 | d40lf | 2007 | none row 6 : mci | 301-334 | classic | 1988 | all retired row 7 : new flyer | 340-366 | d40 | 1992 | 365 remains, used only during rush hour row 8 : new flyer | 370-399 | d40 | 1994 | 370 371 372 373 374 379 380 390 395? 397 398 399 retired, used only during rush hour row 9 : new flyer | 401-443 | d40lf | 1998 | all have been rebuilt row 10 : new flyer | 444-504 | d40lf | 1999 | all have been rebuilt row 11 : new flyer | 510-561 | d40lf | 2002 | being rebuilt 510 513 515 516 517 519 520 521 522 529 532 534 536 537 539 540 545 row 12 : new flyer | 570-599 | d40lf | 2003 | none row 13 : new flyer | 601-640 | d40lfr | 2011 | 601 603 605 wrap for rt row 14 : new flyer | 671-699 | d40 | 1994 | 684 retired, used only during rush hour row 15 : new flyer | 701-733 | d40lfr | 2008 | none row 16 : new flyer | 735-799 | d40lfr | 2009 | none row 17 : new flyer | 800-829 | d40lfr | 2013 | 800-830 now inservice 822 had a fire row 18 : new flyer | 901-910 | invero/d40i | 2004 | ex701-710 only used for rush hour row 19 : new flyer | 911-925 | d30lf | 1996 | all rebuild row 20 : new flyer | 930-949 | d30lf | 2001 | 931 rebuild row 21 : new flyer | 971-990 | d60lf | 2003 | ex octranspo most units are between ex 6302-6338 971 973 976 977 979 are now in service row 22 : new flyer | 991-993 | d40lf | 1994 | all rebuilt, used only during rush hour | col : count ( "*" ) row 1 : 6 | select count ( * ) where model = 'd40lfr' <table_name> : table \begin{tabular}{llllll}
\toprule
& make/model & series & model & year & notes \\
\midrule
0 & new flyer & 101-135 & d40lfr & 2010 & none \\
1 & new flyer & 140-169 & d40lfr & 2011 & 140-143 145-153 155-169 wrap for rt 144 and 154 lost there rt wraps \\
2 & new flyer & 201-230 & d40lf & 2004 & 204 retired due to fire \\
3 & new flyer & 231-260 & d40lf & 2005 & none \\
4 & new flyer & 270-281 & d40lf & 2007 & none \\
5 & mci & 301-334 & classic & 1988 & all retired \\
6 & new flyer & 340-366 & d40 & 1992 & 365 remains, used only during rush hour \\
7 & new flyer & 370-399 & d40 & 1994 & 370 371 372 373 374 379 380 390 395? 397 398 399 retired, used only during rush hour \\
8 & new flyer & 401-443 & d40lf & 1998 & all have been rebuilt \\
9 & new flyer & 444-504 & d40lf & 1999 & all have been rebuilt \\
10 & new flyer & 510-561 & d40lf & 2002 & being rebuilt 510 513 515 516 517 519 520 521 522 529 532 534 536 537 539 540 545 \\
11 & new flyer & 570-599 & d40lf & 2003 & none \\
12 & new flyer & 601-640 & d40lfr & 2011 & 601 603 605 wrap for rt \\
13 & new flyer & 671-699 & d40 & 1994 & 684 retired, used only during rush hour \\
14 & new flyer & 701-733 & d40lfr & 2008 & none \\
15 & new flyer & 735-799 & d40lfr & 2009 & none \\
16 & new flyer & 800-829 & d40lfr & 2013 & 800-830 now inservice 822 had a fire \\
17 & new flyer & 901-910 & invero/d40i & 2004 & ex701-710 only used for rush hour \\
18 & new flyer & 911-925 & d30lf & 1996 & all rebuild \\
19 & new flyer & 930-949 & d30lf & 2001 & 931 rebuild \\
20 & new flyer & 971-990 & d60lf & 2003 & ex octranspo most units are between ex 6302-6338 971 973 976 977 979 are now in service \\
21 & new flyer & 991-993 & d40lf & 1994 & all rebuilt, used only during rush hour \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select count ( * ) where model = 'd40lfr' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>make/model</th>
<th>series</th>
<th>model</th>
<th>year</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>new flyer</td>
<td>101-135</td>
<td>d40lfr</td>
<td>2010</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>new flyer</td>
<td>140-169</td>
<td>d40lfr</td>
<td>2011</td>
<td>140-143 145-153 155-169 wrap for rt 144 and 154 lost there rt wraps</td>
</tr>
<tr>
<th>2</th>
<td>new flyer</td>
<td>201-230</td>
<td>d40lf</td>
<td>2004</td>
<td>204 retired due to fire</td>
</tr>
<tr>
<th>3</th>
<td>new flyer</td>
<td>231-260</td>
<td>d40lf</td>
<td>2005</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>new flyer</td>
<td>270-281</td>
<td>d40lf</td>
<td>2007</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>mci</td>
<td>301-334</td>
<td>classic</td>
<td>1988</td>
<td>all retired</td>
</tr>
<tr>
<th>6</th>
<td>new flyer</td>
<td>340-366</td>
<td>d40</td>
<td>1992</td>
<td>365 remains, used only during rush hour</td>
</tr>
<tr>
<th>7</th>
<td>new flyer</td>
<td>370-399</td>
<td>d40</td>
<td>1994</td>
<td>370 371 372 373 374 379 380 390 395? 397 398 399 retired, used only during rush hour</td>
</tr>
<tr>
<th>8</th>
<td>new flyer</td>
<td>401-443</td>
<td>d40lf</td>
<td>1998</td>
<td>all have been rebuilt</td>
</tr>
<tr>
<th>9</th>
<td>new flyer</td>
<td>444-504</td>
<td>d40lf</td>
<td>1999</td>
<td>all have been rebuilt</td>
</tr>
<tr>
<th>10</th>
<td>new flyer</td>
<td>510-561</td>
<td>d40lf</td>
<td>2002</td>
<td>being rebuilt 510 513 515 516 517 519 520 521 522 529 532 534 536 537 539 540 545</td>
</tr>
<tr>
<th>11</th>
<td>new flyer</td>
<td>570-599</td>
<td>d40lf</td>
<td>2003</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>new flyer</td>
<td>601-640</td>
<td>d40lfr</td>
<td>2011</td>
<td>601 603 605 wrap for rt</td>
</tr>
<tr>
<th>13</th>
<td>new flyer</td>
<td>671-699</td>
<td>d40</td>
<td>1994</td>
<td>684 retired, used only during rush hour</td>
</tr>
<tr>
<th>14</th>
<td>new flyer</td>
<td>701-733</td>
<td>d40lfr</td>
<td>2008</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>new flyer</td>
<td>735-799</td>
<td>d40lfr</td>
<td>2009</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>new flyer</td>
<td>800-829</td>
<td>d40lfr</td>
<td>2013</td>
<td>800-830 now inservice 822 had a fire</td>
</tr>
<tr>
<th>17</th>
<td>new flyer</td>
<td>901-910</td>
<td>invero/d40i</td>
<td>2004</td>
<td>ex701-710 only used for rush hour</td>
</tr>
<tr>
<th>18</th>
<td>new flyer</td>
<td>911-925</td>
<td>d30lf</td>
<td>1996</td>
<td>all rebuild</td>
</tr>
<tr>
<th>19</th>
<td>new flyer</td>
<td>930-949</td>
<td>d30lf</td>
<td>2001</td>
<td>931 rebuild</td>
</tr>
<tr>
<th>20</th>
<td>new flyer</td>
<td>971-990</td>
<td>d60lf</td>
<td>2003</td>
<td>ex octranspo most units are between ex 6302-6338 971 973 976 977 979 are now in service</td>
</tr>
<tr>
<th>21</th>
<td>new flyer</td>
<td>991-993</td>
<td>d40lf</td>
<td>1994</td>
<td>all rebuilt, used only during rush hour</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select count ( * ) where model = 'd40lfr' <table_name> : table | | make/model | series | model | year | notes |
|---:|:-------------|:---------|:------------|-------:|:----------------------------------------------------------------------------------------|
| 0 | new flyer | 101-135 | d40lfr | 2010 | none |
| 1 | new flyer | 140-169 | d40lfr | 2011 | 140-143 145-153 155-169 wrap for rt 144 and 154 lost there rt wraps |
| 2 | new flyer | 201-230 | d40lf | 2004 | 204 retired due to fire |
| 3 | new flyer | 231-260 | d40lf | 2005 | none |
| 4 | new flyer | 270-281 | d40lf | 2007 | none |
| 5 | mci | 301-334 | classic | 1988 | all retired |
| 6 | new flyer | 340-366 | d40 | 1992 | 365 remains, used only during rush hour |
| 7 | new flyer | 370-399 | d40 | 1994 | 370 371 372 373 374 379 380 390 395? 397 398 399 retired, used only during rush hour |
| 8 | new flyer | 401-443 | d40lf | 1998 | all have been rebuilt |
| 9 | new flyer | 444-504 | d40lf | 1999 | all have been rebuilt |
| 10 | new flyer | 510-561 | d40lf | 2002 | being rebuilt 510 513 515 516 517 519 520 521 522 529 532 534 536 537 539 540 545 |
| 11 | new flyer | 570-599 | d40lf | 2003 | none |
| 12 | new flyer | 601-640 | d40lfr | 2011 | 601 603 605 wrap for rt |
| 13 | new flyer | 671-699 | d40 | 1994 | 684 retired, used only during rush hour |
| 14 | new flyer | 701-733 | d40lfr | 2008 | none |
| 15 | new flyer | 735-799 | d40lfr | 2009 | none |
| 16 | new flyer | 800-829 | d40lfr | 2013 | 800-830 now inservice 822 had a fire |
| 17 | new flyer | 901-910 | invero/d40i | 2004 | ex701-710 only used for rush hour |
| 18 | new flyer | 911-925 | d30lf | 1996 | all rebuild |
| 19 | new flyer | 930-949 | d30lf | 2001 | 931 rebuild |
| 20 | new flyer | 971-990 | d60lf | 2003 | ex octranspo most units are between ex 6302-6338 971 973 976 977 979 are now in service |
| 21 | new flyer | 991-993 | d40lf | 1994 | all rebuilt, used only during rush hour | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 6 | | [
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select no. where no. = 1 col : no. | title | directed by | written by | original air date row 1 : 1 | "reunion" | bryan spicer | patrick massett & john zinman | january 27, 2003 row 2 : 2 | "antarctica" | perry lang | patrick massett & john zinman | february 3, 2003 row 3 : 3 | "skulls" | adam nimoy | patrick massett & john zinman | february 10, 2003 row 4 : 4 | "heist" | rick kolbe | rick kellard | march 10, 2003 row 5 : 5 | "the wheel of dharma" | r. w. goodwin | stephanie bloch-chambers & julie bean | none row 6 : 6 | "sangraal" | perry lang | gabrielle stanton & harry werksman, jr | none row 7 : 7 | "mummy virus" | vern gillum | rick kellard & thania st. john | none row 8 : 8 | "name of god" | michael nankin | brad falchuk | none row 9 : 9 | "devil's child" | tom wright | thania st. john | none row 10 : 10 | "avalon" | dwight little | i. c. rapoport | none row 11 : 11 | "the lost codex" | tom wright | gabrielle stanton & harry werksman, jr | none row 12 : 12 | "eternal" | fred gerber | thania st. john & chad hodge | none row 13 : 13 | "helmholtz resonance" | larry shaw | patrick massett & john zinman | none | col : no. row 1 : 1 | select no. where no. = 1 <table_name> : table \begin{tabular}{llllll}
\toprule
& no. & title & directed by & written by & original air date \\
\midrule
0 & 1 & "reunion" & bryan spicer & patrick massett & john zinman & january 27, 2003 \\
1 & 2 & "antarctica" & perry lang & patrick massett & john zinman & february 3, 2003 \\
2 & 3 & "skulls" & adam nimoy & patrick massett & john zinman & february 10, 2003 \\
3 & 4 & "heist" & rick kolbe & rick kellard & march 10, 2003 \\
4 & 5 & "the wheel of dharma" & r. w. goodwin & stephanie bloch-chambers & julie bean & none \\
5 & 6 & "sangraal" & perry lang & gabrielle stanton & harry werksman, jr & none \\
6 & 7 & "mummy virus" & vern gillum & rick kellard & thania st. john & none \\
7 & 8 & "name of god" & michael nankin & brad falchuk & none \\
8 & 9 & "devil's child" & tom wright & thania st. john & none \\
9 & 10 & "avalon" & dwight little & i. c. rapoport & none \\
10 & 11 & "the lost codex" & tom wright & gabrielle stanton & harry werksman, jr & none \\
11 & 12 & "eternal" & fred gerber & thania st. john & chad hodge & none \\
12 & 13 & "helmholtz resonance" & larry shaw & patrick massett & john zinman & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& no. \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select no. where no. = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
<th>title</th>
<th>directed by</th>
<th>written by</th>
<th>original air date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>"reunion"</td>
<td>bryan spicer</td>
<td>patrick massett & john zinman</td>
<td>january 27, 2003</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>"antarctica"</td>
<td>perry lang</td>
<td>patrick massett & john zinman</td>
<td>february 3, 2003</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>"skulls"</td>
<td>adam nimoy</td>
<td>patrick massett & john zinman</td>
<td>february 10, 2003</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>"heist"</td>
<td>rick kolbe</td>
<td>rick kellard</td>
<td>march 10, 2003</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>"the wheel of dharma"</td>
<td>r. w. goodwin</td>
<td>stephanie bloch-chambers & julie bean</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>"sangraal"</td>
<td>perry lang</td>
<td>gabrielle stanton & harry werksman, jr</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>"mummy virus"</td>
<td>vern gillum</td>
<td>rick kellard & thania st. john</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>"name of god"</td>
<td>michael nankin</td>
<td>brad falchuk</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>"devil's child"</td>
<td>tom wright</td>
<td>thania st. john</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>"avalon"</td>
<td>dwight little</td>
<td>i. c. rapoport</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>"the lost codex"</td>
<td>tom wright</td>
<td>gabrielle stanton & harry werksman, jr</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>"eternal"</td>
<td>fred gerber</td>
<td>thania st. john & chad hodge</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>"helmholtz resonance"</td>
<td>larry shaw</td>
<td>patrick massett & john zinman</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select no. where no. = 1 <table_name> : table | | no. | title | directed by | written by | original air date |
|---:|------:|:----------------------|:---------------|:---------------------------------------|:--------------------|
| 0 | 1 | "reunion" | bryan spicer | patrick massett & john zinman | january 27, 2003 |
| 1 | 2 | "antarctica" | perry lang | patrick massett & john zinman | february 3, 2003 |
| 2 | 3 | "skulls" | adam nimoy | patrick massett & john zinman | february 10, 2003 |
| 3 | 4 | "heist" | rick kolbe | rick kellard | march 10, 2003 |
| 4 | 5 | "the wheel of dharma" | r. w. goodwin | stephanie bloch-chambers & julie bean | none |
| 5 | 6 | "sangraal" | perry lang | gabrielle stanton & harry werksman, jr | none |
| 6 | 7 | "mummy virus" | vern gillum | rick kellard & thania st. john | none |
| 7 | 8 | "name of god" | michael nankin | brad falchuk | none |
| 8 | 9 | "devil's child" | tom wright | thania st. john | none |
| 9 | 10 | "avalon" | dwight little | i. c. rapoport | none |
| 10 | 11 | "the lost codex" | tom wright | gabrielle stanton & harry werksman, jr | none |
| 11 | 12 | "eternal" | fred gerber | thania st. john & chad hodge | none |
| 12 | 13 | "helmholtz resonance" | larry shaw | patrick massett & john zinman | none | | | | no. |
|---:|------:|
| 0 | 1 | | [
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select count ( * ) where v2 = '0%' and v5 = '0%' col : category | age (ethnicity) | n | v1 | v2 | v3 | v4 | v5 | v6 row 1 : none | 1 week - 1 y | 210 | 92% | 74% | 27% | 20% | 0.50% | 0% row 2 : none | 1 y - 2 y | 154 | 96% | 85% | 39% | 10% | 0.70% | 0% row 3 : none | 2 y - 5 y | 202 | 98% | 50% | 22% | 7% | 1% | 0% row 4 : none | 5 y - 8 y | 94 | 91% | 25% | 14% | 5% | 1% | 1% row 5 : none | 8 y - 16 y | 90 | 62% | 7% | 2% | 0% | 0% | 0% row 6 : males | 12 y - 13 y | 209 | 47% | 7% | 0% | 0% | 0% | 0% row 7 : males | 13 y - 14 y | 260 | 35% | 4.60% | 0.80% | 0% | 0% | 0% row 8 : males | 16 y - 19 y (whites) | 50 | 32% | 0% | 0% | 0% | 0% | 0% row 9 : males | 16 y - 19 y (blacks) | 310 | 46% | 7% | 2.90% | 1.30% | 0% | 0% row 10 : males | 20 - 30 y (whites) | 285 | 41% | 0% | 0% | 0% | 0% | 0% row 11 : males | 20 - 30 y (blacks) | 295 | 37% | 0% | 0% | 0% | 0% | 0% row 12 : females | 12 y - 13 y | 174 | 69% | 11% | 1.20% | 0% | 0% | 0% row 13 : females | 13 y - 14 y | 154 | 52% | 8.40% | 1.40% | 0% | 0% | 0% row 14 : females | 16 y - 19 y (whites) | 50 | 66% | 0% | 0% | 0% | 0% | 0% row 15 : females | 16 - 19 y (blacks) | 310 | 73% | 9% | 1.30% | 0.60% | 0% | 0% row 16 : females | 20 - 30 y (whites) | 280 | 55% | 0% | 0% | 0% | 0% | 0% row 17 : females | 20 - 30 y (blacks) | 330 | 55% | 2.40% | 1% | 0% | 0% | 0% | col : count ( "*" ) row 1 : 0 | select count ( * ) where v2 = '0%' and v5 = '0%' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& category & age (ethnicity) & n & v1 & v2 & v3 & v4 & v5 & v6 \\
\midrule
0 & none & 1 week - 1 y & 210 & 92% & 74% & 27% & 20% & 0.50% & 0% \\
1 & none & 1 y - 2 y & 154 & 96% & 85% & 39% & 10% & 0.70% & 0% \\
2 & none & 2 y - 5 y & 202 & 98% & 50% & 22% & 7% & 1% & 0% \\
3 & none & 5 y - 8 y & 94 & 91% & 25% & 14% & 5% & 1% & 1% \\
4 & none & 8 y - 16 y & 90 & 62% & 7% & 2% & 0% & 0% & 0% \\
5 & males & 12 y - 13 y & 209 & 47% & 7% & 0% & 0% & 0% & 0% \\
6 & males & 13 y - 14 y & 260 & 35% & 4.60% & 0.80% & 0% & 0% & 0% \\
7 & males & 16 y - 19 y (whites) & 50 & 32% & 0% & 0% & 0% & 0% & 0% \\
8 & males & 16 y - 19 y (blacks) & 310 & 46% & 7% & 2.90% & 1.30% & 0% & 0% \\
9 & males & 20 - 30 y (whites) & 285 & 41% & 0% & 0% & 0% & 0% & 0% \\
10 & males & 20 - 30 y (blacks) & 295 & 37% & 0% & 0% & 0% & 0% & 0% \\
11 & females & 12 y - 13 y & 174 & 69% & 11% & 1.20% & 0% & 0% & 0% \\
12 & females & 13 y - 14 y & 154 & 52% & 8.40% & 1.40% & 0% & 0% & 0% \\
13 & females & 16 y - 19 y (whites) & 50 & 66% & 0% & 0% & 0% & 0% & 0% \\
14 & females & 16 - 19 y (blacks) & 310 & 73% & 9% & 1.30% & 0.60% & 0% & 0% \\
15 & females & 20 - 30 y (whites) & 280 & 55% & 0% & 0% & 0% & 0% & 0% \\
16 & females & 20 - 30 y (blacks) & 330 & 55% & 2.40% & 1% & 0% & 0% & 0% \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where v2 = '0%' and v5 = '0%' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>category</th>
<th>age (ethnicity)</th>
<th>n</th>
<th>v1</th>
<th>v2</th>
<th>v3</th>
<th>v4</th>
<th>v5</th>
<th>v6</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
<td>1 week - 1 y</td>
<td>210</td>
<td>92%</td>
<td>74%</td>
<td>27%</td>
<td>20%</td>
<td>0.50%</td>
<td>0%</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>1 y - 2 y</td>
<td>154</td>
<td>96%</td>
<td>85%</td>
<td>39%</td>
<td>10%</td>
<td>0.70%</td>
<td>0%</td>
</tr>
<tr>
<th>2</th>
<td>none</td>
<td>2 y - 5 y</td>
<td>202</td>
<td>98%</td>
<td>50%</td>
<td>22%</td>
<td>7%</td>
<td>1%</td>
<td>0%</td>
</tr>
<tr>
<th>3</th>
<td>none</td>
<td>5 y - 8 y</td>
<td>94</td>
<td>91%</td>
<td>25%</td>
<td>14%</td>
<td>5%</td>
<td>1%</td>
<td>1%</td>
</tr>
<tr>
<th>4</th>
<td>none</td>
<td>8 y - 16 y</td>
<td>90</td>
<td>62%</td>
<td>7%</td>
<td>2%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>5</th>
<td>males</td>
<td>12 y - 13 y</td>
<td>209</td>
<td>47%</td>
<td>7%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>6</th>
<td>males</td>
<td>13 y - 14 y</td>
<td>260</td>
<td>35%</td>
<td>4.60%</td>
<td>0.80%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>7</th>
<td>males</td>
<td>16 y - 19 y (whites)</td>
<td>50</td>
<td>32%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>8</th>
<td>males</td>
<td>16 y - 19 y (blacks)</td>
<td>310</td>
<td>46%</td>
<td>7%</td>
<td>2.90%</td>
<td>1.30%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>9</th>
<td>males</td>
<td>20 - 30 y (whites)</td>
<td>285</td>
<td>41%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>10</th>
<td>males</td>
<td>20 - 30 y (blacks)</td>
<td>295</td>
<td>37%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>11</th>
<td>females</td>
<td>12 y - 13 y</td>
<td>174</td>
<td>69%</td>
<td>11%</td>
<td>1.20%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>12</th>
<td>females</td>
<td>13 y - 14 y</td>
<td>154</td>
<td>52%</td>
<td>8.40%</td>
<td>1.40%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>13</th>
<td>females</td>
<td>16 y - 19 y (whites)</td>
<td>50</td>
<td>66%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>14</th>
<td>females</td>
<td>16 - 19 y (blacks)</td>
<td>310</td>
<td>73%</td>
<td>9%</td>
<td>1.30%</td>
<td>0.60%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>15</th>
<td>females</td>
<td>20 - 30 y (whites)</td>
<td>280</td>
<td>55%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
<tr>
<th>16</th>
<td>females</td>
<td>20 - 30 y (blacks)</td>
<td>330</td>
<td>55%</td>
<td>2.40%</td>
<td>1%</td>
<td>0%</td>
<td>0%</td>
<td>0%</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where v2 = '0%' and v5 = '0%' <table_name> : table | | category | age (ethnicity) | n | v1 | v2 | v3 | v4 | v5 | v6 |
|---:|:-----------|:---------------------|----:|:-----|:------|:------|:------|:------|:-----|
| 0 | none | 1 week - 1 y | 210 | 92% | 74% | 27% | 20% | 0.50% | 0% |
| 1 | none | 1 y - 2 y | 154 | 96% | 85% | 39% | 10% | 0.70% | 0% |
| 2 | none | 2 y - 5 y | 202 | 98% | 50% | 22% | 7% | 1% | 0% |
| 3 | none | 5 y - 8 y | 94 | 91% | 25% | 14% | 5% | 1% | 1% |
| 4 | none | 8 y - 16 y | 90 | 62% | 7% | 2% | 0% | 0% | 0% |
| 5 | males | 12 y - 13 y | 209 | 47% | 7% | 0% | 0% | 0% | 0% |
| 6 | males | 13 y - 14 y | 260 | 35% | 4.60% | 0.80% | 0% | 0% | 0% |
| 7 | males | 16 y - 19 y (whites) | 50 | 32% | 0% | 0% | 0% | 0% | 0% |
| 8 | males | 16 y - 19 y (blacks) | 310 | 46% | 7% | 2.90% | 1.30% | 0% | 0% |
| 9 | males | 20 - 30 y (whites) | 285 | 41% | 0% | 0% | 0% | 0% | 0% |
| 10 | males | 20 - 30 y (blacks) | 295 | 37% | 0% | 0% | 0% | 0% | 0% |
| 11 | females | 12 y - 13 y | 174 | 69% | 11% | 1.20% | 0% | 0% | 0% |
| 12 | females | 13 y - 14 y | 154 | 52% | 8.40% | 1.40% | 0% | 0% | 0% |
| 13 | females | 16 y - 19 y (whites) | 50 | 66% | 0% | 0% | 0% | 0% | 0% |
| 14 | females | 16 - 19 y (blacks) | 310 | 73% | 9% | 1.30% | 0.60% | 0% | 0% |
| 15 | females | 20 - 30 y (whites) | 280 | 55% | 0% | 0% | 0% | 0% | 0% |
| 16 | females | 20 - 30 y (blacks) | 330 | 55% | 2.40% | 1% | 0% | 0% | 0% | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select count ( nationality ) where placing = 1 col : date | competition | location | country | event | placing | rider | nationality row 1 : 2008-10-31 00:00:00 | 2008-09 world cup | manchester | united kingdom | sprint | 1 | victoria pendleton | gbr row 2 : 2008-10-31 00:00:00 | 2008-09 world cup | manchester | united kingdom | keirin | 2 | jason kenny | gbr row 3 : 2008-11-01 00:00:00 | 2008-09 world cup | manchester | united kingdom | sprint | 1 | jason kenny | gbr row 4 : 2008-11-01 00:00:00 | 2008-09 world cup | manchester | united kingdom | 500 m time trial | 1 | victoria pendleton | gbr row 5 : 2008-11-02 00:00:00 | 2008-09 world cup | manchester | united kingdom | team sprint | 1 | ross edgar | gbr row 6 : 2008-11-02 00:00:00 | 2008-09 world cup | manchester | united kingdom | team sprint | 1 | jason kenny | gbr row 7 : 2008-11-02 00:00:00 | 2008-09 world cup | manchester | united kingdom | team sprint | 1 | jamie staff | gbr row 8 : 2008-11-02 00:00:00 | 2008-09 world cup | manchester | united kingdom | keirin | 1 | victoria pendleton | gbr row 9 : 2008-11-02 00:00:00 | 5th international keirin event | manchester | united kingdom | international keirin | 2 | ross edgar | gbr row 10 : 2009-02-13 00:00:00 | 2008-09 world cup | copenhagen | denmark | team sprint | 1 | chris hoy | gbr row 11 : 2009-02-13 00:00:00 | 2008-09 world cup | copenhagen | denmark | team sprint | 1 | jason kenny | gbr row 12 : 2009-02-13 00:00:00 | 2008-09 world cup | copenhagen | denmark | team sprint | 1 | jamie staff | gbr row 13 : 2009-02-13 00:00:00 | 2008-09 world cup | copenhagen | denmark | sprint | 1 | victoria pendleton | gbr row 14 : 2009-10-30 00:00:00 | 2009-10 world cup | manchester | united kingdom | keirin | 1 | chris hoy | gbr row 15 : 2009-10-30 00:00:00 | 2009-10 world cup | manchester | united kingdom | sprint | 1 | victoria pendleton | gbr row 16 : 2009-10-30 00:00:00 | 2009-10 world cup | manchester | united kingdom | sprint | 1 | chris hoy | gbr row 17 : 2009-10-30 00:00:00 | 2009-10 world cup | manchester | united kingdom | 500 m time trial | 2 | victoria pendleton | gbr row 18 : 2009-11-01 00:00:00 | 2009-10 world cup | manchester | united kingdom | team sprint | 1 | ross edgar | gbr row 19 : 2009-11-01 00:00:00 | 2009-10 world cup | manchester | united kingdom | team sprint | 1 | chris hoy | gbr row 20 : 2009-11-01 00:00:00 | 2009-10 world cup | manchester | united kingdom | team sprint | 1 | jamie staff | gbr | col : count ( "nationality" ) row 1 : 17 | select count ( nationality ) where placing = 1 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& date & competition & location & country & event & placing & rider & nationality \\
\midrule
0 & 2008-10-31 00:00:00 & 2008-09 world cup & manchester & united kingdom & sprint & 1 & victoria pendleton & gbr \\
1 & 2008-10-31 00:00:00 & 2008-09 world cup & manchester & united kingdom & keirin & 2 & jason kenny & gbr \\
2 & 2008-11-01 00:00:00 & 2008-09 world cup & manchester & united kingdom & sprint & 1 & jason kenny & gbr \\
3 & 2008-11-01 00:00:00 & 2008-09 world cup & manchester & united kingdom & 500 m time trial & 1 & victoria pendleton & gbr \\
4 & 2008-11-02 00:00:00 & 2008-09 world cup & manchester & united kingdom & team sprint & 1 & ross edgar & gbr \\
5 & 2008-11-02 00:00:00 & 2008-09 world cup & manchester & united kingdom & team sprint & 1 & jason kenny & gbr \\
6 & 2008-11-02 00:00:00 & 2008-09 world cup & manchester & united kingdom & team sprint & 1 & jamie staff & gbr \\
7 & 2008-11-02 00:00:00 & 2008-09 world cup & manchester & united kingdom & keirin & 1 & victoria pendleton & gbr \\
8 & 2008-11-02 00:00:00 & 5th international keirin event & manchester & united kingdom & international keirin & 2 & ross edgar & gbr \\
9 & 2009-02-13 00:00:00 & 2008-09 world cup & copenhagen & denmark & team sprint & 1 & chris hoy & gbr \\
10 & 2009-02-13 00:00:00 & 2008-09 world cup & copenhagen & denmark & team sprint & 1 & jason kenny & gbr \\
11 & 2009-02-13 00:00:00 & 2008-09 world cup & copenhagen & denmark & team sprint & 1 & jamie staff & gbr \\
12 & 2009-02-13 00:00:00 & 2008-09 world cup & copenhagen & denmark & sprint & 1 & victoria pendleton & gbr \\
13 & 2009-10-30 00:00:00 & 2009-10 world cup & manchester & united kingdom & keirin & 1 & chris hoy & gbr \\
14 & 2009-10-30 00:00:00 & 2009-10 world cup & manchester & united kingdom & sprint & 1 & victoria pendleton & gbr \\
15 & 2009-10-30 00:00:00 & 2009-10 world cup & manchester & united kingdom & sprint & 1 & chris hoy & gbr \\
16 & 2009-10-30 00:00:00 & 2009-10 world cup & manchester & united kingdom & 500 m time trial & 2 & victoria pendleton & gbr \\
17 & 2009-11-01 00:00:00 & 2009-10 world cup & manchester & united kingdom & team sprint & 1 & ross edgar & gbr \\
18 & 2009-11-01 00:00:00 & 2009-10 world cup & manchester & united kingdom & team sprint & 1 & chris hoy & gbr \\
19 & 2009-11-01 00:00:00 & 2009-10 world cup & manchester & united kingdom & team sprint & 1 & jamie staff & gbr \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "nationality" ) \\
\midrule
0 & 17 \\
\bottomrule
\end{tabular}
| select count ( nationality ) where placing = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>competition</th>
<th>location</th>
<th>country</th>
<th>event</th>
<th>placing</th>
<th>rider</th>
<th>nationality</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2008-10-31 00:00:00</td>
<td>2008-09 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>sprint</td>
<td>1</td>
<td>victoria pendleton</td>
<td>gbr</td>
</tr>
<tr>
<th>1</th>
<td>2008-10-31 00:00:00</td>
<td>2008-09 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>keirin</td>
<td>2</td>
<td>jason kenny</td>
<td>gbr</td>
</tr>
<tr>
<th>2</th>
<td>2008-11-01 00:00:00</td>
<td>2008-09 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>sprint</td>
<td>1</td>
<td>jason kenny</td>
<td>gbr</td>
</tr>
<tr>
<th>3</th>
<td>2008-11-01 00:00:00</td>
<td>2008-09 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>500 m time trial</td>
<td>1</td>
<td>victoria pendleton</td>
<td>gbr</td>
</tr>
<tr>
<th>4</th>
<td>2008-11-02 00:00:00</td>
<td>2008-09 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>team sprint</td>
<td>1</td>
<td>ross edgar</td>
<td>gbr</td>
</tr>
<tr>
<th>5</th>
<td>2008-11-02 00:00:00</td>
<td>2008-09 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>team sprint</td>
<td>1</td>
<td>jason kenny</td>
<td>gbr</td>
</tr>
<tr>
<th>6</th>
<td>2008-11-02 00:00:00</td>
<td>2008-09 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>team sprint</td>
<td>1</td>
<td>jamie staff</td>
<td>gbr</td>
</tr>
<tr>
<th>7</th>
<td>2008-11-02 00:00:00</td>
<td>2008-09 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>keirin</td>
<td>1</td>
<td>victoria pendleton</td>
<td>gbr</td>
</tr>
<tr>
<th>8</th>
<td>2008-11-02 00:00:00</td>
<td>5th international keirin event</td>
<td>manchester</td>
<td>united kingdom</td>
<td>international keirin</td>
<td>2</td>
<td>ross edgar</td>
<td>gbr</td>
</tr>
<tr>
<th>9</th>
<td>2009-02-13 00:00:00</td>
<td>2008-09 world cup</td>
<td>copenhagen</td>
<td>denmark</td>
<td>team sprint</td>
<td>1</td>
<td>chris hoy</td>
<td>gbr</td>
</tr>
<tr>
<th>10</th>
<td>2009-02-13 00:00:00</td>
<td>2008-09 world cup</td>
<td>copenhagen</td>
<td>denmark</td>
<td>team sprint</td>
<td>1</td>
<td>jason kenny</td>
<td>gbr</td>
</tr>
<tr>
<th>11</th>
<td>2009-02-13 00:00:00</td>
<td>2008-09 world cup</td>
<td>copenhagen</td>
<td>denmark</td>
<td>team sprint</td>
<td>1</td>
<td>jamie staff</td>
<td>gbr</td>
</tr>
<tr>
<th>12</th>
<td>2009-02-13 00:00:00</td>
<td>2008-09 world cup</td>
<td>copenhagen</td>
<td>denmark</td>
<td>sprint</td>
<td>1</td>
<td>victoria pendleton</td>
<td>gbr</td>
</tr>
<tr>
<th>13</th>
<td>2009-10-30 00:00:00</td>
<td>2009-10 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>keirin</td>
<td>1</td>
<td>chris hoy</td>
<td>gbr</td>
</tr>
<tr>
<th>14</th>
<td>2009-10-30 00:00:00</td>
<td>2009-10 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>sprint</td>
<td>1</td>
<td>victoria pendleton</td>
<td>gbr</td>
</tr>
<tr>
<th>15</th>
<td>2009-10-30 00:00:00</td>
<td>2009-10 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>sprint</td>
<td>1</td>
<td>chris hoy</td>
<td>gbr</td>
</tr>
<tr>
<th>16</th>
<td>2009-10-30 00:00:00</td>
<td>2009-10 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>500 m time trial</td>
<td>2</td>
<td>victoria pendleton</td>
<td>gbr</td>
</tr>
<tr>
<th>17</th>
<td>2009-11-01 00:00:00</td>
<td>2009-10 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>team sprint</td>
<td>1</td>
<td>ross edgar</td>
<td>gbr</td>
</tr>
<tr>
<th>18</th>
<td>2009-11-01 00:00:00</td>
<td>2009-10 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>team sprint</td>
<td>1</td>
<td>chris hoy</td>
<td>gbr</td>
</tr>
<tr>
<th>19</th>
<td>2009-11-01 00:00:00</td>
<td>2009-10 world cup</td>
<td>manchester</td>
<td>united kingdom</td>
<td>team sprint</td>
<td>1</td>
<td>jamie staff</td>
<td>gbr</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "nationality" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>17</td>
</tr>
</tbody>
</table> | select count ( nationality ) where placing = 1 <table_name> : table | | date | competition | location | country | event | placing | rider | nationality |
|---:|:--------------------|:-------------------------------|:-----------|:---------------|:---------------------|----------:|:-------------------|:--------------|
| 0 | 2008-10-31 00:00:00 | 2008-09 world cup | manchester | united kingdom | sprint | 1 | victoria pendleton | gbr |
| 1 | 2008-10-31 00:00:00 | 2008-09 world cup | manchester | united kingdom | keirin | 2 | jason kenny | gbr |
| 2 | 2008-11-01 00:00:00 | 2008-09 world cup | manchester | united kingdom | sprint | 1 | jason kenny | gbr |
| 3 | 2008-11-01 00:00:00 | 2008-09 world cup | manchester | united kingdom | 500 m time trial | 1 | victoria pendleton | gbr |
| 4 | 2008-11-02 00:00:00 | 2008-09 world cup | manchester | united kingdom | team sprint | 1 | ross edgar | gbr |
| 5 | 2008-11-02 00:00:00 | 2008-09 world cup | manchester | united kingdom | team sprint | 1 | jason kenny | gbr |
| 6 | 2008-11-02 00:00:00 | 2008-09 world cup | manchester | united kingdom | team sprint | 1 | jamie staff | gbr |
| 7 | 2008-11-02 00:00:00 | 2008-09 world cup | manchester | united kingdom | keirin | 1 | victoria pendleton | gbr |
| 8 | 2008-11-02 00:00:00 | 5th international keirin event | manchester | united kingdom | international keirin | 2 | ross edgar | gbr |
| 9 | 2009-02-13 00:00:00 | 2008-09 world cup | copenhagen | denmark | team sprint | 1 | chris hoy | gbr |
| 10 | 2009-02-13 00:00:00 | 2008-09 world cup | copenhagen | denmark | team sprint | 1 | jason kenny | gbr |
| 11 | 2009-02-13 00:00:00 | 2008-09 world cup | copenhagen | denmark | team sprint | 1 | jamie staff | gbr |
| 12 | 2009-02-13 00:00:00 | 2008-09 world cup | copenhagen | denmark | sprint | 1 | victoria pendleton | gbr |
| 13 | 2009-10-30 00:00:00 | 2009-10 world cup | manchester | united kingdom | keirin | 1 | chris hoy | gbr |
| 14 | 2009-10-30 00:00:00 | 2009-10 world cup | manchester | united kingdom | sprint | 1 | victoria pendleton | gbr |
| 15 | 2009-10-30 00:00:00 | 2009-10 world cup | manchester | united kingdom | sprint | 1 | chris hoy | gbr |
| 16 | 2009-10-30 00:00:00 | 2009-10 world cup | manchester | united kingdom | 500 m time trial | 2 | victoria pendleton | gbr |
| 17 | 2009-11-01 00:00:00 | 2009-10 world cup | manchester | united kingdom | team sprint | 1 | ross edgar | gbr |
| 18 | 2009-11-01 00:00:00 | 2009-10 world cup | manchester | united kingdom | team sprint | 1 | chris hoy | gbr |
| 19 | 2009-11-01 00:00:00 | 2009-10 world cup | manchester | united kingdom | team sprint | 1 | jamie staff | gbr | | | | count ( "nationality" ) |
|---:|--------------------------:|
| 0 | 17 | | [
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select count ( site ) where time = '2:30 pm' col : date | time | opponent# | rank# | site | tv | result | attendance row 1 : 2005-09-03 00:00:00 | 8:00 pm | at #25 pittsburgh | none | heinz field • pittsburgh, pa | abc | w 42-21 | 66451 row 2 : 2005-09-10 00:00:00 | 12:00 pm | at #3 michigan | #23 | michigan stadium • ann arbor, mi | abc | w 17-10 | 111386 row 3 : 2005-09-17 00:00:00 | 3:30 pm | michigan state | #12 | notre dame stadium • notre dame, in | nbc | l 44-41 ot | 80795 row 4 : 2005-09-24 00:00:00 | 3:30 pm | at washington | #18 | husky stadium • seattle wa | abc | w 36-17 | 71473 row 5 : 2005-10-01 00:00:00 | 7:45 pm | at #20 purdue | #14 | ross-ade stadium • west lafayette, in | espn | w 49-28 | 65491 row 6 : 2005-10-15 00:00:00 | 3:30 pm | #1 usc | #9 | notre dame stadium • notre dame, in | nbc | l 34-31 | 80795 row 7 : 2005-10-22 00:00:00 | 2:30 pm | byu | #12 | notre dame stadium • notre dame, in | nbc | w 49-23 | 80795 row 8 : 2005-11-05 00:00:00 | 2:30 pm | tennessee | #9 | notre dame stadium • notre dame, in | nbc | w 41-21 | 80795 row 9 : 2005-11-12 00:00:00 | 1:00 pm | navy | #7 | notre dame stadium • notre dame, in | nbc | w 42-21 | 80795 row 10 : 2005-11-19 00:00:00 | 2:30 pm | syracuse | #7 | notre dame stadium • notre dame, in | nbc | w 34-10 | 80795 row 11 : 2005-11-26 00:00:00 | 8:00 pm | at stanford | #6 | stanford stadium • palo alto, ca | abc | w 38-31 | 56057 row 12 : 2006-01-02 00:00:00 | 4:30 pm | vs. #4 ohio state | #6 | sun devil stadium • tempe, az (fiesta bowl) | abc | l 34-20 | 76196 | col : count ( "site" ) row 1 : 3 | select count ( site ) where time = '2:30 pm' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& date & time & opponent# & rank# & site & tv & result & attendance \\
\midrule
0 & 2005-09-03 00:00:00 & 8:00 pm & at #25 pittsburgh & none & heinz field • pittsburgh, pa & abc & w 42-21 & 66451 \\
1 & 2005-09-10 00:00:00 & 12:00 pm & at #3 michigan & #23 & michigan stadium • ann arbor, mi & abc & w 17-10 & 111386 \\
2 & 2005-09-17 00:00:00 & 3:30 pm & michigan state & #12 & notre dame stadium • notre dame, in & nbc & l 44-41 ot & 80795 \\
3 & 2005-09-24 00:00:00 & 3:30 pm & at washington & #18 & husky stadium • seattle wa & abc & w 36-17 & 71473 \\
4 & 2005-10-01 00:00:00 & 7:45 pm & at #20 purdue & #14 & ross-ade stadium • west lafayette, in & espn & w 49-28 & 65491 \\
5 & 2005-10-15 00:00:00 & 3:30 pm & #1 usc & #9 & notre dame stadium • notre dame, in & nbc & l 34-31 & 80795 \\
6 & 2005-10-22 00:00:00 & 2:30 pm & byu & #12 & notre dame stadium • notre dame, in & nbc & w 49-23 & 80795 \\
7 & 2005-11-05 00:00:00 & 2:30 pm & tennessee & #9 & notre dame stadium • notre dame, in & nbc & w 41-21 & 80795 \\
8 & 2005-11-12 00:00:00 & 1:00 pm & navy & #7 & notre dame stadium • notre dame, in & nbc & w 42-21 & 80795 \\
9 & 2005-11-19 00:00:00 & 2:30 pm & syracuse & #7 & notre dame stadium • notre dame, in & nbc & w 34-10 & 80795 \\
10 & 2005-11-26 00:00:00 & 8:00 pm & at stanford & #6 & stanford stadium • palo alto, ca & abc & w 38-31 & 56057 \\
11 & 2006-01-02 00:00:00 & 4:30 pm & vs. #4 ohio state & #6 & sun devil stadium • tempe, az (fiesta bowl) & abc & l 34-20 & 76196 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "site" ) \\
\midrule
0 & 3 \\
\bottomrule
\end{tabular}
| select count ( site ) where time = '2:30 pm' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>time</th>
<th>opponent#</th>
<th>rank#</th>
<th>site</th>
<th>tv</th>
<th>result</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2005-09-03 00:00:00</td>
<td>8:00 pm</td>
<td>at #25 pittsburgh</td>
<td>none</td>
<td>heinz field • pittsburgh, pa</td>
<td>abc</td>
<td>w 42-21</td>
<td>66451</td>
</tr>
<tr>
<th>1</th>
<td>2005-09-10 00:00:00</td>
<td>12:00 pm</td>
<td>at #3 michigan</td>
<td>#23</td>
<td>michigan stadium • ann arbor, mi</td>
<td>abc</td>
<td>w 17-10</td>
<td>111386</td>
</tr>
<tr>
<th>2</th>
<td>2005-09-17 00:00:00</td>
<td>3:30 pm</td>
<td>michigan state</td>
<td>#12</td>
<td>notre dame stadium • notre dame, in</td>
<td>nbc</td>
<td>l 44-41 ot</td>
<td>80795</td>
</tr>
<tr>
<th>3</th>
<td>2005-09-24 00:00:00</td>
<td>3:30 pm</td>
<td>at washington</td>
<td>#18</td>
<td>husky stadium • seattle wa</td>
<td>abc</td>
<td>w 36-17</td>
<td>71473</td>
</tr>
<tr>
<th>4</th>
<td>2005-10-01 00:00:00</td>
<td>7:45 pm</td>
<td>at #20 purdue</td>
<td>#14</td>
<td>ross-ade stadium • west lafayette, in</td>
<td>espn</td>
<td>w 49-28</td>
<td>65491</td>
</tr>
<tr>
<th>5</th>
<td>2005-10-15 00:00:00</td>
<td>3:30 pm</td>
<td>#1 usc</td>
<td>#9</td>
<td>notre dame stadium • notre dame, in</td>
<td>nbc</td>
<td>l 34-31</td>
<td>80795</td>
</tr>
<tr>
<th>6</th>
<td>2005-10-22 00:00:00</td>
<td>2:30 pm</td>
<td>byu</td>
<td>#12</td>
<td>notre dame stadium • notre dame, in</td>
<td>nbc</td>
<td>w 49-23</td>
<td>80795</td>
</tr>
<tr>
<th>7</th>
<td>2005-11-05 00:00:00</td>
<td>2:30 pm</td>
<td>tennessee</td>
<td>#9</td>
<td>notre dame stadium • notre dame, in</td>
<td>nbc</td>
<td>w 41-21</td>
<td>80795</td>
</tr>
<tr>
<th>8</th>
<td>2005-11-12 00:00:00</td>
<td>1:00 pm</td>
<td>navy</td>
<td>#7</td>
<td>notre dame stadium • notre dame, in</td>
<td>nbc</td>
<td>w 42-21</td>
<td>80795</td>
</tr>
<tr>
<th>9</th>
<td>2005-11-19 00:00:00</td>
<td>2:30 pm</td>
<td>syracuse</td>
<td>#7</td>
<td>notre dame stadium • notre dame, in</td>
<td>nbc</td>
<td>w 34-10</td>
<td>80795</td>
</tr>
<tr>
<th>10</th>
<td>2005-11-26 00:00:00</td>
<td>8:00 pm</td>
<td>at stanford</td>
<td>#6</td>
<td>stanford stadium • palo alto, ca</td>
<td>abc</td>
<td>w 38-31</td>
<td>56057</td>
</tr>
<tr>
<th>11</th>
<td>2006-01-02 00:00:00</td>
<td>4:30 pm</td>
<td>vs. #4 ohio state</td>
<td>#6</td>
<td>sun devil stadium • tempe, az (fiesta bowl)</td>
<td>abc</td>
<td>l 34-20</td>
<td>76196</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "site" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3</td>
</tr>
</tbody>
</table> | select count ( site ) where time = '2:30 pm' <table_name> : table | | date | time | opponent# | rank# | site | tv | result | attendance |
|---:|:--------------------|:---------|:------------------|:--------|:--------------------------------------------|:-----|:-----------|-------------:|
| 0 | 2005-09-03 00:00:00 | 8:00 pm | at #25 pittsburgh | none | heinz field • pittsburgh, pa | abc | w 42-21 | 66451 |
| 1 | 2005-09-10 00:00:00 | 12:00 pm | at #3 michigan | #23 | michigan stadium • ann arbor, mi | abc | w 17-10 | 111386 |
| 2 | 2005-09-17 00:00:00 | 3:30 pm | michigan state | #12 | notre dame stadium • notre dame, in | nbc | l 44-41 ot | 80795 |
| 3 | 2005-09-24 00:00:00 | 3:30 pm | at washington | #18 | husky stadium • seattle wa | abc | w 36-17 | 71473 |
| 4 | 2005-10-01 00:00:00 | 7:45 pm | at #20 purdue | #14 | ross-ade stadium • west lafayette, in | espn | w 49-28 | 65491 |
| 5 | 2005-10-15 00:00:00 | 3:30 pm | #1 usc | #9 | notre dame stadium • notre dame, in | nbc | l 34-31 | 80795 |
| 6 | 2005-10-22 00:00:00 | 2:30 pm | byu | #12 | notre dame stadium • notre dame, in | nbc | w 49-23 | 80795 |
| 7 | 2005-11-05 00:00:00 | 2:30 pm | tennessee | #9 | notre dame stadium • notre dame, in | nbc | w 41-21 | 80795 |
| 8 | 2005-11-12 00:00:00 | 1:00 pm | navy | #7 | notre dame stadium • notre dame, in | nbc | w 42-21 | 80795 |
| 9 | 2005-11-19 00:00:00 | 2:30 pm | syracuse | #7 | notre dame stadium • notre dame, in | nbc | w 34-10 | 80795 |
| 10 | 2005-11-26 00:00:00 | 8:00 pm | at stanford | #6 | stanford stadium • palo alto, ca | abc | w 38-31 | 56057 |
| 11 | 2006-01-02 00:00:00 | 4:30 pm | vs. #4 ohio state | #6 | sun devil stadium • tempe, az (fiesta bowl) | abc | l 34-20 | 76196 | | | | count ( "site" ) |
|---:|-------------------:|
| 0 | 3 | | [
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select count ( 1,75 ) where rank > 11 col : rank | name | nationality | 1,62 | 1,67 | 1,72 | 1,75 | notes row 1 : 1 | dior delophont | france | none | o | o | o | q row 2 : 1 | ligia grozav | romania | none | o | o | o | q row 3 : 3 | iryna herashchenko | ukraine | none | o | xo | o | q row 4 : 4 | lucija zupzic | croatia | o | o | o | xo | q row 5 : 4 | chanice porter | jamaica | none | none | none | xo | q row 6 : 6 | alexandra plaza | germany | o | xo | o | xxo | q row 7 : 7 | nikola parilova | czech republic | o | o | o | xxx | q row 8 : 7 | ioanna koltsidou | greece | o | o | o | xxx | q row 9 : 9 | leontia kallenou | cyprus | none | xo | xo | xxx | none row 10 : 10 | anna pau | italy | xxo | o | xxo | xxx | none row 11 : 11 | emily crutcher | australia | o | o | xxx | none | none row 12 : 11 | keeley o'hagan | new zealand | o | o | xxx | none | none row 13 : 13 | dace dreimane | latvia | xo | o | xxx | none | none row 14 : 14 | vivien baglyos | hungary | o | xo | xxx | none | none row 15 : 15 | thea lafond | dominica | xo | xxx | none | none | none | col : count ( "1" ) row 1 : 10 | select count ( 1,75 ) where rank > 11 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& rank & name & nationality & 1,62 & 1,67 & 1,72 & 1,75 & notes \\
\midrule
0 & 1 & dior delophont & france & none & o & o & o & q \\
1 & 1 & ligia grozav & romania & none & o & o & o & q \\
2 & 3 & iryna herashchenko & ukraine & none & o & xo & o & q \\
3 & 4 & lucija zupzic & croatia & o & o & o & xo & q \\
4 & 4 & chanice porter & jamaica & none & none & none & xo & q \\
5 & 6 & alexandra plaza & germany & o & xo & o & xxo & q \\
6 & 7 & nikola parilova & czech republic & o & o & o & xxx & q \\
7 & 7 & ioanna koltsidou & greece & o & o & o & xxx & q \\
8 & 9 & leontia kallenou & cyprus & none & xo & xo & xxx & none \\
9 & 10 & anna pau & italy & xxo & o & xxo & xxx & none \\
10 & 11 & emily crutcher & australia & o & o & xxx & none & none \\
11 & 11 & keeley o'hagan & new zealand & o & o & xxx & none & none \\
12 & 13 & dace dreimane & latvia & xo & o & xxx & none & none \\
13 & 14 & vivien baglyos & hungary & o & xo & xxx & none & none \\
14 & 15 & thea lafond & dominica & xo & xxx & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "1" ) \\
\midrule
0 & 10 \\
\bottomrule
\end{tabular}
| select count ( 1,75 ) where rank > 11 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>name</th>
<th>nationality</th>
<th>1,62</th>
<th>1,67</th>
<th>1,72</th>
<th>1,75</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>dior delophont</td>
<td>france</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>q</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>ligia grozav</td>
<td>romania</td>
<td>none</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>q</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>iryna herashchenko</td>
<td>ukraine</td>
<td>none</td>
<td>o</td>
<td>xo</td>
<td>o</td>
<td>q</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>lucija zupzic</td>
<td>croatia</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>xo</td>
<td>q</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>chanice porter</td>
<td>jamaica</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>xo</td>
<td>q</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>alexandra plaza</td>
<td>germany</td>
<td>o</td>
<td>xo</td>
<td>o</td>
<td>xxo</td>
<td>q</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>nikola parilova</td>
<td>czech republic</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>q</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>ioanna koltsidou</td>
<td>greece</td>
<td>o</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>q</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>leontia kallenou</td>
<td>cyprus</td>
<td>none</td>
<td>xo</td>
<td>xo</td>
<td>xxx</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>anna pau</td>
<td>italy</td>
<td>xxo</td>
<td>o</td>
<td>xxo</td>
<td>xxx</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>emily crutcher</td>
<td>australia</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>keeley o'hagan</td>
<td>new zealand</td>
<td>o</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>dace dreimane</td>
<td>latvia</td>
<td>xo</td>
<td>o</td>
<td>xxx</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>vivien baglyos</td>
<td>hungary</td>
<td>o</td>
<td>xo</td>
<td>xxx</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>thea lafond</td>
<td>dominica</td>
<td>xo</td>
<td>xxx</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "1" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10</td>
</tr>
</tbody>
</table> | select count ( 1,75 ) where rank > 11 <table_name> : table | | rank | name | nationality | 1,62 | 1,67 | 1,72 | 1,75 | notes |
|---:|-------:|:-------------------|:---------------|:-------|:-------|:-------|:-------|:--------|
| 0 | 1 | dior delophont | france | none | o | o | o | q |
| 1 | 1 | ligia grozav | romania | none | o | o | o | q |
| 2 | 3 | iryna herashchenko | ukraine | none | o | xo | o | q |
| 3 | 4 | lucija zupzic | croatia | o | o | o | xo | q |
| 4 | 4 | chanice porter | jamaica | none | none | none | xo | q |
| 5 | 6 | alexandra plaza | germany | o | xo | o | xxo | q |
| 6 | 7 | nikola parilova | czech republic | o | o | o | xxx | q |
| 7 | 7 | ioanna koltsidou | greece | o | o | o | xxx | q |
| 8 | 9 | leontia kallenou | cyprus | none | xo | xo | xxx | none |
| 9 | 10 | anna pau | italy | xxo | o | xxo | xxx | none |
| 10 | 11 | emily crutcher | australia | o | o | xxx | none | none |
| 11 | 11 | keeley o'hagan | new zealand | o | o | xxx | none | none |
| 12 | 13 | dace dreimane | latvia | xo | o | xxx | none | none |
| 13 | 14 | vivien baglyos | hungary | o | xo | xxx | none | none |
| 14 | 15 | thea lafond | dominica | xo | xxx | none | none | none | | | | count ( "1" ) |
|---:|----------------:|
| 0 | 10 | | [
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select min ( area (km2) ) where population (as of 2011) > 10 col : code | district | headquarters | population (as of 2011) | area (km2) | density (/km2) row 1 : al | almora | almora | 621972 | 3083 | 202 row 2 : ba | bageshwar | bageshwar | 259840 | 2302 | 113 row 3 : cl | chamoli | chamoli gopeshwar | 391114 | 7613 | 51 row 4 : cp | champawat | champawat | 259315 | 1781 | 146 row 5 : dd | dehradun | dehradun | 1695860 | 3088 | 550 row 6 : ha | haridwar | haridwar | 1927029 | 2360 | 817 row 7 : na | nainital | nainital | 955128 | 3860 | 247 row 8 : pg | pauri garhwal | pauri | 686572 | 5399 | 127 row 9 : pi | pithoragarh | pithoragarh | 485993 | 7100 | 68 row 10 : rp | rudra prayag | rudraprayag | 236857 | 1890 | 125 row 11 : tg | tehri garhwal | new tehri | 616409 | 4080 | 151 row 12 : us | udham singh nagar | rudrapur | 1648367 | 2908 | 567 row 13 : ut | uttarkashi | uttarkashi | 329686 | 8016 | 41 | col : min ( "area (km2" ) row 1 : area (km2 | select min ( area (km2) ) where population (as of 2011) > 10 <table_name> : table \begin{tabular}{lllllll}
\toprule
& code & district & headquarters & population (as of 2011) & area (km2) & density (/km2) \\
\midrule
0 & al & almora & almora & 621972 & 3083 & 202 \\
1 & ba & bageshwar & bageshwar & 259840 & 2302 & 113 \\
2 & cl & chamoli & chamoli gopeshwar & 391114 & 7613 & 51 \\
3 & cp & champawat & champawat & 259315 & 1781 & 146 \\
4 & dd & dehradun & dehradun & 1695860 & 3088 & 550 \\
5 & ha & haridwar & haridwar & 1927029 & 2360 & 817 \\
6 & na & nainital & nainital & 955128 & 3860 & 247 \\
7 & pg & pauri garhwal & pauri & 686572 & 5399 & 127 \\
8 & pi & pithoragarh & pithoragarh & 485993 & 7100 & 68 \\
9 & rp & rudra prayag & rudraprayag & 236857 & 1890 & 125 \\
10 & tg & tehri garhwal & new tehri & 616409 & 4080 & 151 \\
11 & us & udham singh nagar & rudrapur & 1648367 & 2908 & 567 \\
12 & ut & uttarkashi & uttarkashi & 329686 & 8016 & 41 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& min ( "area (km2" ) \\
\midrule
0 & area (km2 \\
\bottomrule
\end{tabular}
| select min ( area (km2) ) where population (as of 2011) > 10 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>code</th>
<th>district</th>
<th>headquarters</th>
<th>population (as of 2011)</th>
<th>area (km2)</th>
<th>density (/km2)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>al</td>
<td>almora</td>
<td>almora</td>
<td>621972</td>
<td>3083</td>
<td>202</td>
</tr>
<tr>
<th>1</th>
<td>ba</td>
<td>bageshwar</td>
<td>bageshwar</td>
<td>259840</td>
<td>2302</td>
<td>113</td>
</tr>
<tr>
<th>2</th>
<td>cl</td>
<td>chamoli</td>
<td>chamoli gopeshwar</td>
<td>391114</td>
<td>7613</td>
<td>51</td>
</tr>
<tr>
<th>3</th>
<td>cp</td>
<td>champawat</td>
<td>champawat</td>
<td>259315</td>
<td>1781</td>
<td>146</td>
</tr>
<tr>
<th>4</th>
<td>dd</td>
<td>dehradun</td>
<td>dehradun</td>
<td>1695860</td>
<td>3088</td>
<td>550</td>
</tr>
<tr>
<th>5</th>
<td>ha</td>
<td>haridwar</td>
<td>haridwar</td>
<td>1927029</td>
<td>2360</td>
<td>817</td>
</tr>
<tr>
<th>6</th>
<td>na</td>
<td>nainital</td>
<td>nainital</td>
<td>955128</td>
<td>3860</td>
<td>247</td>
</tr>
<tr>
<th>7</th>
<td>pg</td>
<td>pauri garhwal</td>
<td>pauri</td>
<td>686572</td>
<td>5399</td>
<td>127</td>
</tr>
<tr>
<th>8</th>
<td>pi</td>
<td>pithoragarh</td>
<td>pithoragarh</td>
<td>485993</td>
<td>7100</td>
<td>68</td>
</tr>
<tr>
<th>9</th>
<td>rp</td>
<td>rudra prayag</td>
<td>rudraprayag</td>
<td>236857</td>
<td>1890</td>
<td>125</td>
</tr>
<tr>
<th>10</th>
<td>tg</td>
<td>tehri garhwal</td>
<td>new tehri</td>
<td>616409</td>
<td>4080</td>
<td>151</td>
</tr>
<tr>
<th>11</th>
<td>us</td>
<td>udham singh nagar</td>
<td>rudrapur</td>
<td>1648367</td>
<td>2908</td>
<td>567</td>
</tr>
<tr>
<th>12</th>
<td>ut</td>
<td>uttarkashi</td>
<td>uttarkashi</td>
<td>329686</td>
<td>8016</td>
<td>41</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>min ( "area (km2" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>area (km2</td>
</tr>
</tbody>
</table> | select min ( area (km2) ) where population (as of 2011) > 10 <table_name> : table | | code | district | headquarters | population (as of 2011) | area (km2) | density (/km2) |
|---:|:-------|:------------------|:------------------|--------------------------:|-------------:|-----------------:|
| 0 | al | almora | almora | 621972 | 3083 | 202 |
| 1 | ba | bageshwar | bageshwar | 259840 | 2302 | 113 |
| 2 | cl | chamoli | chamoli gopeshwar | 391114 | 7613 | 51 |
| 3 | cp | champawat | champawat | 259315 | 1781 | 146 |
| 4 | dd | dehradun | dehradun | 1695860 | 3088 | 550 |
| 5 | ha | haridwar | haridwar | 1927029 | 2360 | 817 |
| 6 | na | nainital | nainital | 955128 | 3860 | 247 |
| 7 | pg | pauri garhwal | pauri | 686572 | 5399 | 127 |
| 8 | pi | pithoragarh | pithoragarh | 485993 | 7100 | 68 |
| 9 | rp | rudra prayag | rudraprayag | 236857 | 1890 | 125 |
| 10 | tg | tehri garhwal | new tehri | 616409 | 4080 | 151 |
| 11 | us | udham singh nagar | rudrapur | 1648367 | 2908 | 567 |
| 12 | ut | uttarkashi | uttarkashi | 329686 | 8016 | 41 | | | | min ( "area (km2" ) |
|---:|:----------------------|
| 0 | area (km2 | | [
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select count ( * ) where opponent# = 'nevada' col : date | time | opponent# | rank# | site | tv | result | attendance row 1 : september 1 | 2:30 pm | nevada | #19 | memorial stadium • lincoln, ne | abc | w 52-10 | 84078 row 2 : september 8 | 11:00 am | at wake forest | #17 | bb&t field • winston-salem, nc | espn | w 20-17 | 32483 row 3 : september 15 | 7:00 pm | #1 usc | #14 | memorial stadium • lincoln, ne | abc | l 31-49 | 84959 row 4 : september 22 | 11:30 am | ball state | #22 | memorial stadium • lincoln, ne | fsn ppv | w 41-40 | 84294 row 5 : september 29 | 1:05 pm | iowa state | #22 | memorial stadium • lincoln, ne | none | w 35-17 | 84703 row 6 : october 6 | 8:15 pm | at #17 missouri | #23 | faurot field • columbia, mo (rivalry) | espn | l 6-41 | 70049 row 7 : october 13 | 11:30 am | oklahoma state | none | memorial stadium • lincoln, ne | ppv | l 14-45 | 84334 row 8 : october 20 | 1:05 pm | texas a&m | none | memorial stadium • lincoln, ne | none | l 14-36 | 84473 row 9 : october 27 | 2:30 pm | at #16 texas | none | darrell k royal-texas memorial stadium • austin, tx | abc | l 25-28 | 85968 row 10 : november 3 | 11:30 am | at #8 kansas | none | memorial stadium • lawrence, ks | fsn | l 39-76 | 51910 row 11 : november 10 | 11:30 am | kansas state | none | memorial stadium • lincoln, ne | versus | w 73-31 | 84665 row 12 : november 23 | 11:00 am | at colorado | none | folsom field • boulder, co (rivalry) | abc | l 51-65 | 51403 | col : count ( "*" ) row 1 : 1 | select count ( * ) where opponent# = 'nevada' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& date & time & opponent# & rank# & site & tv & result & attendance \\
\midrule
0 & september 1 & 2:30 pm & nevada & #19 & memorial stadium • lincoln, ne & abc & w 52-10 & 84078 \\
1 & september 8 & 11:00 am & at wake forest & #17 & bb&t field • winston-salem, nc & espn & w 20-17 & 32483 \\
2 & september 15 & 7:00 pm & #1 usc & #14 & memorial stadium • lincoln, ne & abc & l 31-49 & 84959 \\
3 & september 22 & 11:30 am & ball state & #22 & memorial stadium • lincoln, ne & fsn ppv & w 41-40 & 84294 \\
4 & september 29 & 1:05 pm & iowa state & #22 & memorial stadium • lincoln, ne & none & w 35-17 & 84703 \\
5 & october 6 & 8:15 pm & at #17 missouri & #23 & faurot field • columbia, mo (rivalry) & espn & l 6-41 & 70049 \\
6 & october 13 & 11:30 am & oklahoma state & none & memorial stadium • lincoln, ne & ppv & l 14-45 & 84334 \\
7 & october 20 & 1:05 pm & texas a&m & none & memorial stadium • lincoln, ne & none & l 14-36 & 84473 \\
8 & october 27 & 2:30 pm & at #16 texas & none & darrell k royal-texas memorial stadium • austin, tx & abc & l 25-28 & 85968 \\
9 & november 3 & 11:30 am & at #8 kansas & none & memorial stadium • lawrence, ks & fsn & l 39-76 & 51910 \\
10 & november 10 & 11:30 am & kansas state & none & memorial stadium • lincoln, ne & versus & w 73-31 & 84665 \\
11 & november 23 & 11:00 am & at colorado & none & folsom field • boulder, co (rivalry) & abc & l 51-65 & 51403 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where opponent# = 'nevada' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>time</th>
<th>opponent#</th>
<th>rank#</th>
<th>site</th>
<th>tv</th>
<th>result</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>september 1</td>
<td>2:30 pm</td>
<td>nevada</td>
<td>#19</td>
<td>memorial stadium • lincoln, ne</td>
<td>abc</td>
<td>w 52-10</td>
<td>84078</td>
</tr>
<tr>
<th>1</th>
<td>september 8</td>
<td>11:00 am</td>
<td>at wake forest</td>
<td>#17</td>
<td>bb&t field • winston-salem, nc</td>
<td>espn</td>
<td>w 20-17</td>
<td>32483</td>
</tr>
<tr>
<th>2</th>
<td>september 15</td>
<td>7:00 pm</td>
<td>#1 usc</td>
<td>#14</td>
<td>memorial stadium • lincoln, ne</td>
<td>abc</td>
<td>l 31-49</td>
<td>84959</td>
</tr>
<tr>
<th>3</th>
<td>september 22</td>
<td>11:30 am</td>
<td>ball state</td>
<td>#22</td>
<td>memorial stadium • lincoln, ne</td>
<td>fsn ppv</td>
<td>w 41-40</td>
<td>84294</td>
</tr>
<tr>
<th>4</th>
<td>september 29</td>
<td>1:05 pm</td>
<td>iowa state</td>
<td>#22</td>
<td>memorial stadium • lincoln, ne</td>
<td>none</td>
<td>w 35-17</td>
<td>84703</td>
</tr>
<tr>
<th>5</th>
<td>october 6</td>
<td>8:15 pm</td>
<td>at #17 missouri</td>
<td>#23</td>
<td>faurot field • columbia, mo (rivalry)</td>
<td>espn</td>
<td>l 6-41</td>
<td>70049</td>
</tr>
<tr>
<th>6</th>
<td>october 13</td>
<td>11:30 am</td>
<td>oklahoma state</td>
<td>none</td>
<td>memorial stadium • lincoln, ne</td>
<td>ppv</td>
<td>l 14-45</td>
<td>84334</td>
</tr>
<tr>
<th>7</th>
<td>october 20</td>
<td>1:05 pm</td>
<td>texas a&m</td>
<td>none</td>
<td>memorial stadium • lincoln, ne</td>
<td>none</td>
<td>l 14-36</td>
<td>84473</td>
</tr>
<tr>
<th>8</th>
<td>october 27</td>
<td>2:30 pm</td>
<td>at #16 texas</td>
<td>none</td>
<td>darrell k royal-texas memorial stadium • austin, tx</td>
<td>abc</td>
<td>l 25-28</td>
<td>85968</td>
</tr>
<tr>
<th>9</th>
<td>november 3</td>
<td>11:30 am</td>
<td>at #8 kansas</td>
<td>none</td>
<td>memorial stadium • lawrence, ks</td>
<td>fsn</td>
<td>l 39-76</td>
<td>51910</td>
</tr>
<tr>
<th>10</th>
<td>november 10</td>
<td>11:30 am</td>
<td>kansas state</td>
<td>none</td>
<td>memorial stadium • lincoln, ne</td>
<td>versus</td>
<td>w 73-31</td>
<td>84665</td>
</tr>
<tr>
<th>11</th>
<td>november 23</td>
<td>11:00 am</td>
<td>at colorado</td>
<td>none</td>
<td>folsom field • boulder, co (rivalry)</td>
<td>abc</td>
<td>l 51-65</td>
<td>51403</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where opponent# = 'nevada' <table_name> : table | | date | time | opponent# | rank# | site | tv | result | attendance |
|---:|:-------------|:---------|:----------------|:--------|:----------------------------------------------------|:--------|:---------|-------------:|
| 0 | september 1 | 2:30 pm | nevada | #19 | memorial stadium • lincoln, ne | abc | w 52-10 | 84078 |
| 1 | september 8 | 11:00 am | at wake forest | #17 | bb&t field • winston-salem, nc | espn | w 20-17 | 32483 |
| 2 | september 15 | 7:00 pm | #1 usc | #14 | memorial stadium • lincoln, ne | abc | l 31-49 | 84959 |
| 3 | september 22 | 11:30 am | ball state | #22 | memorial stadium • lincoln, ne | fsn ppv | w 41-40 | 84294 |
| 4 | september 29 | 1:05 pm | iowa state | #22 | memorial stadium • lincoln, ne | none | w 35-17 | 84703 |
| 5 | october 6 | 8:15 pm | at #17 missouri | #23 | faurot field • columbia, mo (rivalry) | espn | l 6-41 | 70049 |
| 6 | october 13 | 11:30 am | oklahoma state | none | memorial stadium • lincoln, ne | ppv | l 14-45 | 84334 |
| 7 | october 20 | 1:05 pm | texas a&m | none | memorial stadium • lincoln, ne | none | l 14-36 | 84473 |
| 8 | october 27 | 2:30 pm | at #16 texas | none | darrell k royal-texas memorial stadium • austin, tx | abc | l 25-28 | 85968 |
| 9 | november 3 | 11:30 am | at #8 kansas | none | memorial stadium • lawrence, ks | fsn | l 39-76 | 51910 |
| 10 | november 10 | 11:30 am | kansas state | none | memorial stadium • lincoln, ne | versus | w 73-31 | 84665 |
| 11 | november 23 | 11:00 am | at colorado | none | folsom field • boulder, co (rivalry) | abc | l 51-65 | 51403 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( event ) where sport = 'sailing' col : medal | name | sport | event | date row 1 : gold | louis chaillot, maurice perrin | cycling | men's tandem | august 3 row 2 : gold | xavier lesage | equestrian | individual dressage | august 10 row 3 : gold | andre jousseaume, xavier lesage, charles marion | equestrian | team dressage | august 10 row 4 : gold | georges buchard, philippe cattiau, fernand jourdant, jean piot, bernard schmetz, georges tainturier | fencing | men's team epee | august 7 row 5 : gold | rene bondoux, rene bougnol, philippe cattiau, edward gardere, rene lemoine, jean piot | fencing | men's team foil | august 1 row 6 : gold | jacques lebrun | sailing | snowbird class | august 12 row 7 : gold | raymond suvigny | weightlifting | men's 60 kg | july 31 row 8 : gold | rene duverger | weightlifting | men's 67.5 kg | july 30 row 9 : gold | louis hostin | weightlifting | men's 82.5 kg | july 30 row 10 : gold | charles pacome | wrestling | men's freestyle lightweight | august 3 row 11 : silver | louis chaillot | cycling | men's sprint | august 3 row 12 : silver | paul chocque, amedee fournier, rene le greves, henri mouillefarine | cycling | men's team pursuit | august 2 row 13 : silver | charles marion | equestrian | individual dressage | august 10 row 14 : silver | georges buchard | fencing | men's epee | august 9 row 15 : silver | jean taris | swimming | men's 400 m freestyle | august 10 row 16 : bronze | paul winter | athletics | men's discus th | row 17 : | august 3 | | | row 18 : bronze | charles rampelberg | cycling | men's 1000 m time trial | august 1 row 19 : bronze | pierre brunet, anselme brusa, andre giriat | rowing | men's coxed pair | august 13 row 20 : bronze | louis francois | wrestling | men's greco-roman bantamweight | august 7 | col : count ( "event" ) row 1 : 1 | select count ( event ) where sport = 'sailing' <table_name> : table \begin{tabular}{llllll}
\toprule
& medal & name & sport & event & date \\
\midrule
0 & gold & louis chaillot, maurice perrin & cycling & men's tandem & august 3 \\
1 & gold & xavier lesage & equestrian & individual dressage & august 10 \\
2 & gold & andre jousseaume, xavier lesage, charles marion & equestrian & team dressage & august 10 \\
3 & gold & georges buchard, philippe cattiau, fernand jourdant, jean piot, bernard schmetz, georges tainturier & fencing & men's team epee & august 7 \\
4 & gold & rene bondoux, rene bougnol, philippe cattiau, edward gardere, rene lemoine, jean piot & fencing & men's team foil & august 1 \\
5 & gold & jacques lebrun & sailing & snowbird class & august 12 \\
6 & gold & raymond suvigny & weightlifting & men's 60 kg & july 31 \\
7 & gold & rene duverger & weightlifting & men's 67.5 kg & july 30 \\
8 & gold & louis hostin & weightlifting & men's 82.5 kg & july 30 \\
9 & gold & charles pacome & wrestling & men's freestyle lightweight & august 3 \\
10 & silver & louis chaillot & cycling & men's sprint & august 3 \\
11 & silver & paul chocque, amedee fournier, rene le greves, henri mouillefarine & cycling & men's team pursuit & august 2 \\
12 & silver & charles marion & equestrian & individual dressage & august 10 \\
13 & silver & georges buchard & fencing & men's epee & august 9 \\
14 & silver & jean taris & swimming & men's 400 m freestyle & august 10 \\
15 & bronze & paul winter & athletics & men's discus th & \\
16 & & august 3 & & & \\
17 & bronze & charles rampelberg & cycling & men's 1000 m time trial & august 1 \\
18 & bronze & pierre brunet, anselme brusa, andre giriat & rowing & men's coxed pair & august 13 \\
19 & bronze & louis francois & wrestling & men's greco-roman bantamweight & august 7 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "event" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( event ) where sport = 'sailing' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>medal</th>
<th>name</th>
<th>sport</th>
<th>event</th>
<th>date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>gold</td>
<td>louis chaillot, maurice perrin</td>
<td>cycling</td>
<td>men's tandem</td>
<td>august 3</td>
</tr>
<tr>
<th>1</th>
<td>gold</td>
<td>xavier lesage</td>
<td>equestrian</td>
<td>individual dressage</td>
<td>august 10</td>
</tr>
<tr>
<th>2</th>
<td>gold</td>
<td>andre jousseaume, xavier lesage, charles marion</td>
<td>equestrian</td>
<td>team dressage</td>
<td>august 10</td>
</tr>
<tr>
<th>3</th>
<td>gold</td>
<td>georges buchard, philippe cattiau, fernand jourdant, jean piot, bernard schmetz, georges tainturier</td>
<td>fencing</td>
<td>men's team epee</td>
<td>august 7</td>
</tr>
<tr>
<th>4</th>
<td>gold</td>
<td>rene bondoux, rene bougnol, philippe cattiau, edward gardere, rene lemoine, jean piot</td>
<td>fencing</td>
<td>men's team foil</td>
<td>august 1</td>
</tr>
<tr>
<th>5</th>
<td>gold</td>
<td>jacques lebrun</td>
<td>sailing</td>
<td>snowbird class</td>
<td>august 12</td>
</tr>
<tr>
<th>6</th>
<td>gold</td>
<td>raymond suvigny</td>
<td>weightlifting</td>
<td>men's 60 kg</td>
<td>july 31</td>
</tr>
<tr>
<th>7</th>
<td>gold</td>
<td>rene duverger</td>
<td>weightlifting</td>
<td>men's 67.5 kg</td>
<td>july 30</td>
</tr>
<tr>
<th>8</th>
<td>gold</td>
<td>louis hostin</td>
<td>weightlifting</td>
<td>men's 82.5 kg</td>
<td>july 30</td>
</tr>
<tr>
<th>9</th>
<td>gold</td>
<td>charles pacome</td>
<td>wrestling</td>
<td>men's freestyle lightweight</td>
<td>august 3</td>
</tr>
<tr>
<th>10</th>
<td>silver</td>
<td>louis chaillot</td>
<td>cycling</td>
<td>men's sprint</td>
<td>august 3</td>
</tr>
<tr>
<th>11</th>
<td>silver</td>
<td>paul chocque, amedee fournier, rene le greves, henri mouillefarine</td>
<td>cycling</td>
<td>men's team pursuit</td>
<td>august 2</td>
</tr>
<tr>
<th>12</th>
<td>silver</td>
<td>charles marion</td>
<td>equestrian</td>
<td>individual dressage</td>
<td>august 10</td>
</tr>
<tr>
<th>13</th>
<td>silver</td>
<td>georges buchard</td>
<td>fencing</td>
<td>men's epee</td>
<td>august 9</td>
</tr>
<tr>
<th>14</th>
<td>silver</td>
<td>jean taris</td>
<td>swimming</td>
<td>men's 400 m freestyle</td>
<td>august 10</td>
</tr>
<tr>
<th>15</th>
<td>bronze</td>
<td>paul winter</td>
<td>athletics</td>
<td>men's discus th</td>
<td></td>
</tr>
<tr>
<th>16</th>
<td></td>
<td>august 3</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>17</th>
<td>bronze</td>
<td>charles rampelberg</td>
<td>cycling</td>
<td>men's 1000 m time trial</td>
<td>august 1</td>
</tr>
<tr>
<th>18</th>
<td>bronze</td>
<td>pierre brunet, anselme brusa, andre giriat</td>
<td>rowing</td>
<td>men's coxed pair</td>
<td>august 13</td>
</tr>
<tr>
<th>19</th>
<td>bronze</td>
<td>louis francois</td>
<td>wrestling</td>
<td>men's greco-roman bantamweight</td>
<td>august 7</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "event" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( event ) where sport = 'sailing' <table_name> : table | | medal | name | sport | event | date |
|---:|:--------|:----------------------------------------------------------------------------------------------------|:--------------|:-------------------------------|:----------|
| 0 | gold | louis chaillot, maurice perrin | cycling | men's tandem | august 3 |
| 1 | gold | xavier lesage | equestrian | individual dressage | august 10 |
| 2 | gold | andre jousseaume, xavier lesage, charles marion | equestrian | team dressage | august 10 |
| 3 | gold | georges buchard, philippe cattiau, fernand jourdant, jean piot, bernard schmetz, georges tainturier | fencing | men's team epee | august 7 |
| 4 | gold | rene bondoux, rene bougnol, philippe cattiau, edward gardere, rene lemoine, jean piot | fencing | men's team foil | august 1 |
| 5 | gold | jacques lebrun | sailing | snowbird class | august 12 |
| 6 | gold | raymond suvigny | weightlifting | men's 60 kg | july 31 |
| 7 | gold | rene duverger | weightlifting | men's 67.5 kg | july 30 |
| 8 | gold | louis hostin | weightlifting | men's 82.5 kg | july 30 |
| 9 | gold | charles pacome | wrestling | men's freestyle lightweight | august 3 |
| 10 | silver | louis chaillot | cycling | men's sprint | august 3 |
| 11 | silver | paul chocque, amedee fournier, rene le greves, henri mouillefarine | cycling | men's team pursuit | august 2 |
| 12 | silver | charles marion | equestrian | individual dressage | august 10 |
| 13 | silver | georges buchard | fencing | men's epee | august 9 |
| 14 | silver | jean taris | swimming | men's 400 m freestyle | august 10 |
| 15 | bronze | paul winter | athletics | men's discus th | |
| 16 | | august 3 | | | |
| 17 | bronze | charles rampelberg | cycling | men's 1000 m time trial | august 1 |
| 18 | bronze | pierre brunet, anselme brusa, andre giriat | rowing | men's coxed pair | august 13 |
| 19 | bronze | louis francois | wrestling | men's greco-roman bantamweight | august 7 | | | | count ( "event" ) |
|---:|--------------------:|
| 0 | 1 | | [
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select count ( title ) where year = 1998 col : year | title | role | notes row 1 : 1991 | let him have it | derek bentley | none row 2 : 1992 | death and the compass | alonso zunz | none row 3 : 1993 | anchoress | priest | none row 4 : 1994 | shallow grave | david | none row 5 : 1996 | jude | jude fawley | none row 6 : 1998 | elizabeth | duke of norfolk | none row 7 : 1998 | a price above rubies | sender horowitz | none row 8 : 1999 | heart | gary ellis | none row 9 : 1999 | existenz | seminar leader | none row 10 : 1999 | with or without you | vincent boyd | none row 11 : 2000 | gone in 60 seconds | raymond calitri | none row 12 : 2000 | the tyre | salesman | short film row 13 : 2001 | the others | charles stewart | none row 14 : 2001 | the invisible circus | wolf | none row 15 : 2001 | this little piggy | cabbie | short film row 16 : 2002 | 24 hour party people | boethius | none row 17 : 2002 | i am dina | leo zhukovsky | none row 18 : 2002 | revengers tragedy | vindici | none row 19 : 2002 | 28 days later | major henry west | none row 20 : 2007 | the dark is rising | the rider | none row 21 : 2008 | new orleans, mon amour | dr. henry | none row 22 : 2009 | g.i. joe: the rise of cobra | james mccullen / destro | none row 23 : 2009 | amelia | fred noonan | none row 24 : 2009 | the happiness salesman | salesman | short film row 25 : 2012 | song for marion | james harris | none row 26 : 2013 | thor: the dark world | malekith | none | col : count ( "title" ) row 1 : 2 | select count ( title ) where year = 1998 <table_name> : table \begin{tabular}{lllll}
\toprule
& year & title & role & notes \\
\midrule
0 & 1991 & let him have it & derek bentley & none \\
1 & 1992 & death and the compass & alonso zunz & none \\
2 & 1993 & anchoress & priest & none \\
3 & 1994 & shallow grave & david & none \\
4 & 1996 & jude & jude fawley & none \\
5 & 1998 & elizabeth & duke of norfolk & none \\
6 & 1998 & a price above rubies & sender horowitz & none \\
7 & 1999 & heart & gary ellis & none \\
8 & 1999 & existenz & seminar leader & none \\
9 & 1999 & with or without you & vincent boyd & none \\
10 & 2000 & gone in 60 seconds & raymond calitri & none \\
11 & 2000 & the tyre & salesman & short film \\
12 & 2001 & the others & charles stewart & none \\
13 & 2001 & the invisible circus & wolf & none \\
14 & 2001 & this little piggy & cabbie & short film \\
15 & 2002 & 24 hour party people & boethius & none \\
16 & 2002 & i am dina & leo zhukovsky & none \\
17 & 2002 & revengers tragedy & vindici & none \\
18 & 2002 & 28 days later & major henry west & none \\
19 & 2007 & the dark is rising & the rider & none \\
20 & 2008 & new orleans, mon amour & dr. henry & none \\
21 & 2009 & g.i. joe: the rise of cobra & james mccullen / destro & none \\
22 & 2009 & amelia & fred noonan & none \\
23 & 2009 & the happiness salesman & salesman & short film \\
24 & 2012 & song for marion & james harris & none \\
25 & 2013 & thor: the dark world & malekith & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "title" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( title ) where year = 1998 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>role</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1991</td>
<td>let him have it</td>
<td>derek bentley</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1992</td>
<td>death and the compass</td>
<td>alonso zunz</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1993</td>
<td>anchoress</td>
<td>priest</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1994</td>
<td>shallow grave</td>
<td>david</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1996</td>
<td>jude</td>
<td>jude fawley</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1998</td>
<td>elizabeth</td>
<td>duke of norfolk</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1998</td>
<td>a price above rubies</td>
<td>sender horowitz</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1999</td>
<td>heart</td>
<td>gary ellis</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>1999</td>
<td>existenz</td>
<td>seminar leader</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>1999</td>
<td>with or without you</td>
<td>vincent boyd</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>2000</td>
<td>gone in 60 seconds</td>
<td>raymond calitri</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>2000</td>
<td>the tyre</td>
<td>salesman</td>
<td>short film</td>
</tr>
<tr>
<th>12</th>
<td>2001</td>
<td>the others</td>
<td>charles stewart</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>2001</td>
<td>the invisible circus</td>
<td>wolf</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2001</td>
<td>this little piggy</td>
<td>cabbie</td>
<td>short film</td>
</tr>
<tr>
<th>15</th>
<td>2002</td>
<td>24 hour party people</td>
<td>boethius</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>2002</td>
<td>i am dina</td>
<td>leo zhukovsky</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>2002</td>
<td>revengers tragedy</td>
<td>vindici</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>2002</td>
<td>28 days later</td>
<td>major henry west</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>2007</td>
<td>the dark is rising</td>
<td>the rider</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>2008</td>
<td>new orleans, mon amour</td>
<td>dr. henry</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>2009</td>
<td>g.i. joe: the rise of cobra</td>
<td>james mccullen / destro</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>2009</td>
<td>amelia</td>
<td>fred noonan</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>2009</td>
<td>the happiness salesman</td>
<td>salesman</td>
<td>short film</td>
</tr>
<tr>
<th>24</th>
<td>2012</td>
<td>song for marion</td>
<td>james harris</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>2013</td>
<td>thor: the dark world</td>
<td>malekith</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "title" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select count ( title ) where year = 1998 <table_name> : table | | year | title | role | notes |
|---:|-------:|:----------------------------|:------------------------|:-----------|
| 0 | 1991 | let him have it | derek bentley | none |
| 1 | 1992 | death and the compass | alonso zunz | none |
| 2 | 1993 | anchoress | priest | none |
| 3 | 1994 | shallow grave | david | none |
| 4 | 1996 | jude | jude fawley | none |
| 5 | 1998 | elizabeth | duke of norfolk | none |
| 6 | 1998 | a price above rubies | sender horowitz | none |
| 7 | 1999 | heart | gary ellis | none |
| 8 | 1999 | existenz | seminar leader | none |
| 9 | 1999 | with or without you | vincent boyd | none |
| 10 | 2000 | gone in 60 seconds | raymond calitri | none |
| 11 | 2000 | the tyre | salesman | short film |
| 12 | 2001 | the others | charles stewart | none |
| 13 | 2001 | the invisible circus | wolf | none |
| 14 | 2001 | this little piggy | cabbie | short film |
| 15 | 2002 | 24 hour party people | boethius | none |
| 16 | 2002 | i am dina | leo zhukovsky | none |
| 17 | 2002 | revengers tragedy | vindici | none |
| 18 | 2002 | 28 days later | major henry west | none |
| 19 | 2007 | the dark is rising | the rider | none |
| 20 | 2008 | new orleans, mon amour | dr. henry | none |
| 21 | 2009 | g.i. joe: the rise of cobra | james mccullen / destro | none |
| 22 | 2009 | amelia | fred noonan | none |
| 23 | 2009 | the happiness salesman | salesman | short film |
| 24 | 2012 | song for marion | james harris | none |
| 25 | 2013 | thor: the dark world | malekith | none | | | | count ( "title" ) |
|---:|--------------------:|
| 0 | 2 | | [
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select count ( * ) where cpsc toy safety funding (us$ millions) = 'none' col : year | injuries (us $000) | deaths (age <15) | cpsc toy safety funding (us$ millions) | toy sales (us $ billions) row 1 : 1994 | 154 | none | none | none row 2 : 1995 | 139 | none | none | none row 3 : 1996 | 130 | none | none | none row 4 : 1997 | 141 | none | none | none row 5 : 1998 | 153 | 14 | none | none row 6 : 1999 | 152 | 16 | 13.6 | none row 7 : 2000 | 191 | 17 | 12 | none row 8 : 2001 | 255 | 25 | 12.4 | none row 9 : 2002 | 212 | 13 | 12.2 | 21.3 row 10 : 2003 | 206 | 11 | 12.8 | 20.7 row 11 : 2004 | 210 | 16 | 11.5 | 22.4 row 12 : 2005 | 202 (estimate) | 20 | 11 | 22.2 row 13 : 2006 | none | 22 | none | 22.3 row 14 : 2007 | none | 22 | none | none row 15 : 2008 | none | 19 | none | none row 16 : 2009 | none | 12 | none | none | col : count ( "*" ) row 1 : 9 | select count ( * ) where cpsc toy safety funding (us$ millions) = 'none' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & injuries (us $000) & deaths (age <15) & cpsc toy safety funding (us$ millions) & toy sales (us $ billions) \\
\midrule
0 & 1994 & 154 & none & none & none \\
1 & 1995 & 139 & none & none & none \\
2 & 1996 & 130 & none & none & none \\
3 & 1997 & 141 & none & none & none \\
4 & 1998 & 153 & 14 & none & none \\
5 & 1999 & 152 & 16 & 13.6 & none \\
6 & 2000 & 191 & 17 & 12 & none \\
7 & 2001 & 255 & 25 & 12.4 & none \\
8 & 2002 & 212 & 13 & 12.2 & 21.3 \\
9 & 2003 & 206 & 11 & 12.8 & 20.7 \\
10 & 2004 & 210 & 16 & 11.5 & 22.4 \\
11 & 2005 & 202 (estimate) & 20 & 11 & 22.2 \\
12 & 2006 & none & 22 & none & 22.3 \\
13 & 2007 & none & 22 & none & none \\
14 & 2008 & none & 19 & none & none \\
15 & 2009 & none & 12 & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 9 \\
\bottomrule
\end{tabular}
| select count ( * ) where cpsc toy safety funding (us$ millions) = 'none' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>injuries (us $000)</th>
<th>deaths (age <15)</th>
<th>cpsc toy safety funding (us$ millions)</th>
<th>toy sales (us $ billions)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1994</td>
<td>154</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1995</td>
<td>139</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1996</td>
<td>130</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1997</td>
<td>141</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1998</td>
<td>153</td>
<td>14</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1999</td>
<td>152</td>
<td>16</td>
<td>13.6</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>2000</td>
<td>191</td>
<td>17</td>
<td>12</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>2001</td>
<td>255</td>
<td>25</td>
<td>12.4</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>2002</td>
<td>212</td>
<td>13</td>
<td>12.2</td>
<td>21.3</td>
</tr>
<tr>
<th>9</th>
<td>2003</td>
<td>206</td>
<td>11</td>
<td>12.8</td>
<td>20.7</td>
</tr>
<tr>
<th>10</th>
<td>2004</td>
<td>210</td>
<td>16</td>
<td>11.5</td>
<td>22.4</td>
</tr>
<tr>
<th>11</th>
<td>2005</td>
<td>202 (estimate)</td>
<td>20</td>
<td>11</td>
<td>22.2</td>
</tr>
<tr>
<th>12</th>
<td>2006</td>
<td>none</td>
<td>22</td>
<td>none</td>
<td>22.3</td>
</tr>
<tr>
<th>13</th>
<td>2007</td>
<td>none</td>
<td>22</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2008</td>
<td>none</td>
<td>19</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>2009</td>
<td>none</td>
<td>12</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>9</td>
</tr>
</tbody>
</table> | select count ( * ) where cpsc toy safety funding (us$ millions) = 'none' <table_name> : table | | year | injuries (us $000) | deaths (age <15) | cpsc toy safety funding (us$ millions) | toy sales (us $ billions) |
|---:|-------:|:---------------------|:-------------------|:-----------------------------------------|:----------------------------|
| 0 | 1994 | 154 | none | none | none |
| 1 | 1995 | 139 | none | none | none |
| 2 | 1996 | 130 | none | none | none |
| 3 | 1997 | 141 | none | none | none |
| 4 | 1998 | 153 | 14 | none | none |
| 5 | 1999 | 152 | 16 | 13.6 | none |
| 6 | 2000 | 191 | 17 | 12 | none |
| 7 | 2001 | 255 | 25 | 12.4 | none |
| 8 | 2002 | 212 | 13 | 12.2 | 21.3 |
| 9 | 2003 | 206 | 11 | 12.8 | 20.7 |
| 10 | 2004 | 210 | 16 | 11.5 | 22.4 |
| 11 | 2005 | 202 (estimate) | 20 | 11 | 22.2 |
| 12 | 2006 | none | 22 | none | 22.3 |
| 13 | 2007 | none | 22 | none | none |
| 14 | 2008 | none | 19 | none | none |
| 15 | 2009 | none | 12 | none | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 9 | | [
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select notes where competition = 'olympic games' col : year | competition | venue | position | event | notes row 1 : 1986 | venice marathon | venice, italy | 1st | marathon | 2:18:44 row 2 : 1987 | world championships | rome, italy | 13th | marathon | 2:17:45 row 3 : 1987 | venice marathon | venice, italy | 1st | marathon | 2:10:01 row 4 : 1990 | european championships | split, fr yugoslavia | 4th | marathon | 2:17:45 row 5 : 1991 | world championships | tokyo, japan | 6th | marathon | 2:15:58 row 6 : 1992 | olympic games | barcelona, spain | 5th | marathon | 2:14:15 row 7 : 1993 | world championships | stuttgart, germany | none | marathon | dnf row 8 : 1996 | olympic games | atlanta, united states | 20th | marathon | 2:17:27 | col : notes row 1 : 2:14:15 row 2 : 2:17:27 | select notes where competition = 'olympic games' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & competition & venue & position & event & notes \\
\midrule
0 & 1986 & venice marathon & venice, italy & 1st & marathon & 2:18:44 \\
1 & 1987 & world championships & rome, italy & 13th & marathon & 2:17:45 \\
2 & 1987 & venice marathon & venice, italy & 1st & marathon & 2:10:01 \\
3 & 1990 & european championships & split, fr yugoslavia & 4th & marathon & 2:17:45 \\
4 & 1991 & world championships & tokyo, japan & 6th & marathon & 2:15:58 \\
5 & 1992 & olympic games & barcelona, spain & 5th & marathon & 2:14:15 \\
6 & 1993 & world championships & stuttgart, germany & none & marathon & dnf \\
7 & 1996 & olympic games & atlanta, united states & 20th & marathon & 2:17:27 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& notes \\
\midrule
0 & 2:14:15 \\
1 & 2:17:27 \\
\bottomrule
\end{tabular}
| select notes where competition = 'olympic games' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1986</td>
<td>venice marathon</td>
<td>venice, italy</td>
<td>1st</td>
<td>marathon</td>
<td>2:18:44</td>
</tr>
<tr>
<th>1</th>
<td>1987</td>
<td>world championships</td>
<td>rome, italy</td>
<td>13th</td>
<td>marathon</td>
<td>2:17:45</td>
</tr>
<tr>
<th>2</th>
<td>1987</td>
<td>venice marathon</td>
<td>venice, italy</td>
<td>1st</td>
<td>marathon</td>
<td>2:10:01</td>
</tr>
<tr>
<th>3</th>
<td>1990</td>
<td>european championships</td>
<td>split, fr yugoslavia</td>
<td>4th</td>
<td>marathon</td>
<td>2:17:45</td>
</tr>
<tr>
<th>4</th>
<td>1991</td>
<td>world championships</td>
<td>tokyo, japan</td>
<td>6th</td>
<td>marathon</td>
<td>2:15:58</td>
</tr>
<tr>
<th>5</th>
<td>1992</td>
<td>olympic games</td>
<td>barcelona, spain</td>
<td>5th</td>
<td>marathon</td>
<td>2:14:15</td>
</tr>
<tr>
<th>6</th>
<td>1993</td>
<td>world championships</td>
<td>stuttgart, germany</td>
<td>none</td>
<td>marathon</td>
<td>dnf</td>
</tr>
<tr>
<th>7</th>
<td>1996</td>
<td>olympic games</td>
<td>atlanta, united states</td>
<td>20th</td>
<td>marathon</td>
<td>2:17:27</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2:14:15</td>
</tr>
<tr>
<th>1</th>
<td>2:17:27</td>
</tr>
</tbody>
</table> | select notes where competition = 'olympic games' <table_name> : table | | year | competition | venue | position | event | notes |
|---:|-------:|:-----------------------|:-----------------------|:-----------|:---------|:--------|
| 0 | 1986 | venice marathon | venice, italy | 1st | marathon | 2:18:44 |
| 1 | 1987 | world championships | rome, italy | 13th | marathon | 2:17:45 |
| 2 | 1987 | venice marathon | venice, italy | 1st | marathon | 2:10:01 |
| 3 | 1990 | european championships | split, fr yugoslavia | 4th | marathon | 2:17:45 |
| 4 | 1991 | world championships | tokyo, japan | 6th | marathon | 2:15:58 |
| 5 | 1992 | olympic games | barcelona, spain | 5th | marathon | 2:14:15 |
| 6 | 1993 | world championships | stuttgart, germany | none | marathon | dnf |
| 7 | 1996 | olympic games | atlanta, united states | 20th | marathon | 2:17:27 | | | | notes |
|---:|:--------|
| 0 | 2:14:15 |
| 1 | 2:17:27 | | [
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select count ( name ) where elevation (mountain station) < 489 col : name | type | elevation (ground station) | elevation (mountain station) | slope length | capacity (persons/hour) | construction year row 1 : fiesch- -alp 1+2 | cable car | 1074 | 2227 | 2940 | 800 | 1973 row 2 : fiesch- -alp 3+4 | cable car | 1071 | 2221 | 2937 | 270 | 1966 row 3 : fiescheralp-eggishorn | cable car | 2225 | 2879 | 1836 | 495 | 1968 row 4 : heimat | chairlift | 1858 | 2301 | 1144 | 1400 | 2000 row 5 : talegga | chairlift | 2208 | 2727 | 1782 | 2200 | 2010 row 6 : flesch | chairlift | 2208 | 2630 | 1357 | 2400 | 1993 row 7 : trainer 1 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 row 8 : trainer 2 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 row 9 : laxeralp 1 | surface lift | 2135 | 2179 | 396 | 1100 | 1981 row 10 : laxeralp 2 | surface lift | 2179 | 2280 | 394 | 1214 | 1981 | col : count ( "name" ) row 1 : 10 | select count ( name ) where elevation (mountain station) < 489 <table_name> : table \begin{tabular}{llllllll}
\toprule
& name & type & elevation (ground station) & elevation (mountain station) & slope length & capacity (persons/hour) & construction year \\
\midrule
0 & fiesch- -alp 1+2 & cable car & 1074 & 2227 & 2940 & 800 & 1973 \\
1 & fiesch- -alp 3+4 & cable car & 1071 & 2221 & 2937 & 270 & 1966 \\
2 & fiescheralp-eggishorn & cable car & 2225 & 2879 & 1836 & 495 & 1968 \\
3 & heimat & chairlift & 1858 & 2301 & 1144 & 1400 & 2000 \\
4 & talegga & chairlift & 2208 & 2727 & 1782 & 2200 & 2010 \\
5 & flesch & chairlift & 2208 & 2630 & 1357 & 2400 & 1993 \\
6 & trainer 1 & surface lift & 2206 & 2264 & 218 & 1200 & 1987 \\
7 & trainer 2 & surface lift & 2206 & 2264 & 218 & 1200 & 1987 \\
8 & laxeralp 1 & surface lift & 2135 & 2179 & 396 & 1100 & 1981 \\
9 & laxeralp 2 & surface lift & 2179 & 2280 & 394 & 1214 & 1981 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "name" ) \\
\midrule
0 & 10 \\
\bottomrule
\end{tabular}
| select count ( name ) where elevation (mountain station) < 489 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>type</th>
<th>elevation (ground station)</th>
<th>elevation (mountain station)</th>
<th>slope length</th>
<th>capacity (persons/hour)</th>
<th>construction year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>fiesch- -alp 1+2</td>
<td>cable car</td>
<td>1074</td>
<td>2227</td>
<td>2940</td>
<td>800</td>
<td>1973</td>
</tr>
<tr>
<th>1</th>
<td>fiesch- -alp 3+4</td>
<td>cable car</td>
<td>1071</td>
<td>2221</td>
<td>2937</td>
<td>270</td>
<td>1966</td>
</tr>
<tr>
<th>2</th>
<td>fiescheralp-eggishorn</td>
<td>cable car</td>
<td>2225</td>
<td>2879</td>
<td>1836</td>
<td>495</td>
<td>1968</td>
</tr>
<tr>
<th>3</th>
<td>heimat</td>
<td>chairlift</td>
<td>1858</td>
<td>2301</td>
<td>1144</td>
<td>1400</td>
<td>2000</td>
</tr>
<tr>
<th>4</th>
<td>talegga</td>
<td>chairlift</td>
<td>2208</td>
<td>2727</td>
<td>1782</td>
<td>2200</td>
<td>2010</td>
</tr>
<tr>
<th>5</th>
<td>flesch</td>
<td>chairlift</td>
<td>2208</td>
<td>2630</td>
<td>1357</td>
<td>2400</td>
<td>1993</td>
</tr>
<tr>
<th>6</th>
<td>trainer 1</td>
<td>surface lift</td>
<td>2206</td>
<td>2264</td>
<td>218</td>
<td>1200</td>
<td>1987</td>
</tr>
<tr>
<th>7</th>
<td>trainer 2</td>
<td>surface lift</td>
<td>2206</td>
<td>2264</td>
<td>218</td>
<td>1200</td>
<td>1987</td>
</tr>
<tr>
<th>8</th>
<td>laxeralp 1</td>
<td>surface lift</td>
<td>2135</td>
<td>2179</td>
<td>396</td>
<td>1100</td>
<td>1981</td>
</tr>
<tr>
<th>9</th>
<td>laxeralp 2</td>
<td>surface lift</td>
<td>2179</td>
<td>2280</td>
<td>394</td>
<td>1214</td>
<td>1981</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "name" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10</td>
</tr>
</tbody>
</table> | select count ( name ) where elevation (mountain station) < 489 <table_name> : table | | name | type | elevation (ground station) | elevation (mountain station) | slope length | capacity (persons/hour) | construction year |
|---:|:----------------------|:-------------|-----------------------------:|-------------------------------:|---------------:|--------------------------:|--------------------:|
| 0 | fiesch- -alp 1+2 | cable car | 1074 | 2227 | 2940 | 800 | 1973 |
| 1 | fiesch- -alp 3+4 | cable car | 1071 | 2221 | 2937 | 270 | 1966 |
| 2 | fiescheralp-eggishorn | cable car | 2225 | 2879 | 1836 | 495 | 1968 |
| 3 | heimat | chairlift | 1858 | 2301 | 1144 | 1400 | 2000 |
| 4 | talegga | chairlift | 2208 | 2727 | 1782 | 2200 | 2010 |
| 5 | flesch | chairlift | 2208 | 2630 | 1357 | 2400 | 1993 |
| 6 | trainer 1 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 |
| 7 | trainer 2 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 |
| 8 | laxeralp 1 | surface lift | 2135 | 2179 | 396 | 1100 | 1981 |
| 9 | laxeralp 2 | surface lift | 2179 | 2280 | 394 | 1214 | 1981 | | | | count ( "name" ) |
|---:|-------------------:|
| 0 | 10 | | [
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select rally leader - winner where stage = 'ss11' col : leg | stage | time -1 | name | length | winner | time -2 | avg. spd. | rally leader row 1 : 1 (16 feb) | ss1 | 07:43 | loten 1 | 30.30 km | m. hirvonen | 16:14.1 | 111.98 km/h | m. hirvonen row 2 : 1 (16 feb) | ss2 | 08:34 | haslemoen | 11.92 km | s. loeb | 8:08.4 | 87.86 km/h | m. hirvonen row 3 : 1 (16 feb) | ss3 | 11:24 | loten 2 | 30.30 km | m. hirvonen | 16:09.9 | 112.47 km/h | m. hirvonen row 4 : 1 (16 feb) | ss4 | 12:30 | grue | 14.36 km | s. loeb | 7:31.8 | 114.42 km/h | m. hirvonen row 5 : 1 (16 feb) | ss5 | 13:52 | opaker | 14.64 km | j. latvala | 7:59.8 | 109.85 km/h | m. hirvonen row 6 : 1 (16 feb) | ss6 | 14:36 | kongsvinger | 14.60 km | s. loeb | 9:44.5 | 89.92 km/h | m. hirvonen row 7 : 1 (16 feb) | ss7 | 15:30 | finnskogen | 21.29 km | s. loeb | 12:42.3 | 100.54 km/h | m. hirvonen row 8 : 1 (16 feb) | ss8 | 16:33 | kirkanaer | 6.75 km | s. loeb | 5:48.9 | 69.65 km/h | m. hirvonen row 9 : 2 (17 feb) | ss9 | 08:09 | eleverum 1 | 44.27 km | m. hirvonen | 24:40.3 | 107.66 km/h | m. hirvonen row 10 : 2 (17 feb) | ss10 | 09:23 | terningmoen | 12.71 km | d. sordo | 7:59.1 | 95.5 km/h | m. hirvonen row 11 : 2 (17 feb) | ss11 | 12:05 | mountain 1 | 24.36 km | m. hirvonen | 14:01.8 | 104.18 km/h | m. hirvonen row 12 : 2 (17 feb) | ss12 | 13:06 | lillehammar | 5.98 km | m. gronholm | 4:33.9 | 78.6 km/h | m. hirvonen row 13 : 2 (17 feb) | ss13 | 14:00 | ringsaker 1 | 27.30 km | m. gronholm | 16:29.7 | 99.3 km/h | m. hirvonen row 14 : 2 (17 feb) | ss14 | 15:10 | hamar 1 | 1.14 km | m. gronholm | 1:13.8 | 55.61 km/h | m. hirvonen row 15 : 3 (18 feb) | ss15 | 08:08 | mountain 2 | 24.36 km | s. loeb | 13:18.2 | 109.87 km/h | m. hirvonen row 16 : 3 (18 feb) | ss16 | 08:55 | ringsaker 2 | 27.30 km | h. solberg | 15:28.6 | 105.84 km/h | m. hirvonen row 17 : 3 (18 feb) | ss17 | 10:05 | hamar 2 | 1.14 km | x. pons s. loeb p. solberg | 1:11.8 | 57.16 km/h | m. hirvonen row 18 : 3 (18 feb) | ss18 | 12:14 | eleverum 2 | 44.27 km | m. gronholm | 24:10.3 | 109.89 km/h | m. hirvonen | col : "rally leader - winner" row 1 : rally leader - winner | select rally leader - winner where stage = 'ss11' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& leg & stage & time -1 & name & length & winner & time -2 & avg. spd. & rally leader \\
\midrule
0 & 1 (16 feb) & ss1 & 07:43 & loten 1 & 30.30 km & m. hirvonen & 16:14.1 & 111.98 km/h & m. hirvonen \\
1 & 1 (16 feb) & ss2 & 08:34 & haslemoen & 11.92 km & s. loeb & 8:08.4 & 87.86 km/h & m. hirvonen \\
2 & 1 (16 feb) & ss3 & 11:24 & loten 2 & 30.30 km & m. hirvonen & 16:09.9 & 112.47 km/h & m. hirvonen \\
3 & 1 (16 feb) & ss4 & 12:30 & grue & 14.36 km & s. loeb & 7:31.8 & 114.42 km/h & m. hirvonen \\
4 & 1 (16 feb) & ss5 & 13:52 & opaker & 14.64 km & j. latvala & 7:59.8 & 109.85 km/h & m. hirvonen \\
5 & 1 (16 feb) & ss6 & 14:36 & kongsvinger & 14.60 km & s. loeb & 9:44.5 & 89.92 km/h & m. hirvonen \\
6 & 1 (16 feb) & ss7 & 15:30 & finnskogen & 21.29 km & s. loeb & 12:42.3 & 100.54 km/h & m. hirvonen \\
7 & 1 (16 feb) & ss8 & 16:33 & kirkanaer & 6.75 km & s. loeb & 5:48.9 & 69.65 km/h & m. hirvonen \\
8 & 2 (17 feb) & ss9 & 08:09 & eleverum 1 & 44.27 km & m. hirvonen & 24:40.3 & 107.66 km/h & m. hirvonen \\
9 & 2 (17 feb) & ss10 & 09:23 & terningmoen & 12.71 km & d. sordo & 7:59.1 & 95.5 km/h & m. hirvonen \\
10 & 2 (17 feb) & ss11 & 12:05 & mountain 1 & 24.36 km & m. hirvonen & 14:01.8 & 104.18 km/h & m. hirvonen \\
11 & 2 (17 feb) & ss12 & 13:06 & lillehammar & 5.98 km & m. gronholm & 4:33.9 & 78.6 km/h & m. hirvonen \\
12 & 2 (17 feb) & ss13 & 14:00 & ringsaker 1 & 27.30 km & m. gronholm & 16:29.7 & 99.3 km/h & m. hirvonen \\
13 & 2 (17 feb) & ss14 & 15:10 & hamar 1 & 1.14 km & m. gronholm & 1:13.8 & 55.61 km/h & m. hirvonen \\
14 & 3 (18 feb) & ss15 & 08:08 & mountain 2 & 24.36 km & s. loeb & 13:18.2 & 109.87 km/h & m. hirvonen \\
15 & 3 (18 feb) & ss16 & 08:55 & ringsaker 2 & 27.30 km & h. solberg & 15:28.6 & 105.84 km/h & m. hirvonen \\
16 & 3 (18 feb) & ss17 & 10:05 & hamar 2 & 1.14 km & x. pons s. loeb p. solberg & 1:11.8 & 57.16 km/h & m. hirvonen \\
17 & 3 (18 feb) & ss18 & 12:14 & eleverum 2 & 44.27 km & m. gronholm & 24:10.3 & 109.89 km/h & m. hirvonen \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "rally leader - winner" \\
\midrule
0 & rally leader - winner \\
\bottomrule
\end{tabular}
| select rally leader - winner where stage = 'ss11' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>leg</th>
<th>stage</th>
<th>time -1</th>
<th>name</th>
<th>length</th>
<th>winner</th>
<th>time -2</th>
<th>avg. spd.</th>
<th>rally leader</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1 (16 feb)</td>
<td>ss1</td>
<td>07:43</td>
<td>loten 1</td>
<td>30.30 km</td>
<td>m. hirvonen</td>
<td>16:14.1</td>
<td>111.98 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>1</th>
<td>1 (16 feb)</td>
<td>ss2</td>
<td>08:34</td>
<td>haslemoen</td>
<td>11.92 km</td>
<td>s. loeb</td>
<td>8:08.4</td>
<td>87.86 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>2</th>
<td>1 (16 feb)</td>
<td>ss3</td>
<td>11:24</td>
<td>loten 2</td>
<td>30.30 km</td>
<td>m. hirvonen</td>
<td>16:09.9</td>
<td>112.47 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>3</th>
<td>1 (16 feb)</td>
<td>ss4</td>
<td>12:30</td>
<td>grue</td>
<td>14.36 km</td>
<td>s. loeb</td>
<td>7:31.8</td>
<td>114.42 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>4</th>
<td>1 (16 feb)</td>
<td>ss5</td>
<td>13:52</td>
<td>opaker</td>
<td>14.64 km</td>
<td>j. latvala</td>
<td>7:59.8</td>
<td>109.85 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>5</th>
<td>1 (16 feb)</td>
<td>ss6</td>
<td>14:36</td>
<td>kongsvinger</td>
<td>14.60 km</td>
<td>s. loeb</td>
<td>9:44.5</td>
<td>89.92 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>6</th>
<td>1 (16 feb)</td>
<td>ss7</td>
<td>15:30</td>
<td>finnskogen</td>
<td>21.29 km</td>
<td>s. loeb</td>
<td>12:42.3</td>
<td>100.54 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>7</th>
<td>1 (16 feb)</td>
<td>ss8</td>
<td>16:33</td>
<td>kirkanaer</td>
<td>6.75 km</td>
<td>s. loeb</td>
<td>5:48.9</td>
<td>69.65 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>8</th>
<td>2 (17 feb)</td>
<td>ss9</td>
<td>08:09</td>
<td>eleverum 1</td>
<td>44.27 km</td>
<td>m. hirvonen</td>
<td>24:40.3</td>
<td>107.66 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>9</th>
<td>2 (17 feb)</td>
<td>ss10</td>
<td>09:23</td>
<td>terningmoen</td>
<td>12.71 km</td>
<td>d. sordo</td>
<td>7:59.1</td>
<td>95.5 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>10</th>
<td>2 (17 feb)</td>
<td>ss11</td>
<td>12:05</td>
<td>mountain 1</td>
<td>24.36 km</td>
<td>m. hirvonen</td>
<td>14:01.8</td>
<td>104.18 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>11</th>
<td>2 (17 feb)</td>
<td>ss12</td>
<td>13:06</td>
<td>lillehammar</td>
<td>5.98 km</td>
<td>m. gronholm</td>
<td>4:33.9</td>
<td>78.6 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>12</th>
<td>2 (17 feb)</td>
<td>ss13</td>
<td>14:00</td>
<td>ringsaker 1</td>
<td>27.30 km</td>
<td>m. gronholm</td>
<td>16:29.7</td>
<td>99.3 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>13</th>
<td>2 (17 feb)</td>
<td>ss14</td>
<td>15:10</td>
<td>hamar 1</td>
<td>1.14 km</td>
<td>m. gronholm</td>
<td>1:13.8</td>
<td>55.61 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>14</th>
<td>3 (18 feb)</td>
<td>ss15</td>
<td>08:08</td>
<td>mountain 2</td>
<td>24.36 km</td>
<td>s. loeb</td>
<td>13:18.2</td>
<td>109.87 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>15</th>
<td>3 (18 feb)</td>
<td>ss16</td>
<td>08:55</td>
<td>ringsaker 2</td>
<td>27.30 km</td>
<td>h. solberg</td>
<td>15:28.6</td>
<td>105.84 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>16</th>
<td>3 (18 feb)</td>
<td>ss17</td>
<td>10:05</td>
<td>hamar 2</td>
<td>1.14 km</td>
<td>x. pons s. loeb p. solberg</td>
<td>1:11.8</td>
<td>57.16 km/h</td>
<td>m. hirvonen</td>
</tr>
<tr>
<th>17</th>
<td>3 (18 feb)</td>
<td>ss18</td>
<td>12:14</td>
<td>eleverum 2</td>
<td>44.27 km</td>
<td>m. gronholm</td>
<td>24:10.3</td>
<td>109.89 km/h</td>
<td>m. hirvonen</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"rally leader - winner"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>rally leader - winner</td>
</tr>
</tbody>
</table> | select rally leader - winner where stage = 'ss11' <table_name> : table | | leg | stage | time -1 | name | length | winner | time -2 | avg. spd. | rally leader |
|---:|:-----------|:--------|:----------|:------------|:---------|:---------------------------|:----------|:------------|:---------------|
| 0 | 1 (16 feb) | ss1 | 07:43 | loten 1 | 30.30 km | m. hirvonen | 16:14.1 | 111.98 km/h | m. hirvonen |
| 1 | 1 (16 feb) | ss2 | 08:34 | haslemoen | 11.92 km | s. loeb | 8:08.4 | 87.86 km/h | m. hirvonen |
| 2 | 1 (16 feb) | ss3 | 11:24 | loten 2 | 30.30 km | m. hirvonen | 16:09.9 | 112.47 km/h | m. hirvonen |
| 3 | 1 (16 feb) | ss4 | 12:30 | grue | 14.36 km | s. loeb | 7:31.8 | 114.42 km/h | m. hirvonen |
| 4 | 1 (16 feb) | ss5 | 13:52 | opaker | 14.64 km | j. latvala | 7:59.8 | 109.85 km/h | m. hirvonen |
| 5 | 1 (16 feb) | ss6 | 14:36 | kongsvinger | 14.60 km | s. loeb | 9:44.5 | 89.92 km/h | m. hirvonen |
| 6 | 1 (16 feb) | ss7 | 15:30 | finnskogen | 21.29 km | s. loeb | 12:42.3 | 100.54 km/h | m. hirvonen |
| 7 | 1 (16 feb) | ss8 | 16:33 | kirkanaer | 6.75 km | s. loeb | 5:48.9 | 69.65 km/h | m. hirvonen |
| 8 | 2 (17 feb) | ss9 | 08:09 | eleverum 1 | 44.27 km | m. hirvonen | 24:40.3 | 107.66 km/h | m. hirvonen |
| 9 | 2 (17 feb) | ss10 | 09:23 | terningmoen | 12.71 km | d. sordo | 7:59.1 | 95.5 km/h | m. hirvonen |
| 10 | 2 (17 feb) | ss11 | 12:05 | mountain 1 | 24.36 km | m. hirvonen | 14:01.8 | 104.18 km/h | m. hirvonen |
| 11 | 2 (17 feb) | ss12 | 13:06 | lillehammar | 5.98 km | m. gronholm | 4:33.9 | 78.6 km/h | m. hirvonen |
| 12 | 2 (17 feb) | ss13 | 14:00 | ringsaker 1 | 27.30 km | m. gronholm | 16:29.7 | 99.3 km/h | m. hirvonen |
| 13 | 2 (17 feb) | ss14 | 15:10 | hamar 1 | 1.14 km | m. gronholm | 1:13.8 | 55.61 km/h | m. hirvonen |
| 14 | 3 (18 feb) | ss15 | 08:08 | mountain 2 | 24.36 km | s. loeb | 13:18.2 | 109.87 km/h | m. hirvonen |
| 15 | 3 (18 feb) | ss16 | 08:55 | ringsaker 2 | 27.30 km | h. solberg | 15:28.6 | 105.84 km/h | m. hirvonen |
| 16 | 3 (18 feb) | ss17 | 10:05 | hamar 2 | 1.14 km | x. pons s. loeb p. solberg | 1:11.8 | 57.16 km/h | m. hirvonen |
| 17 | 3 (18 feb) | ss18 | 12:14 | eleverum 2 | 44.27 km | m. gronholm | 24:10.3 | 109.89 km/h | m. hirvonen | | | | "rally leader - winner" |
|---:|:--------------------------|
| 0 | rally leader - winner | | [
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select livery where serial no = '1393/918266-21' col : locomotive | name | serial no | entered service | livery row 1 : 9001 | ernest henry | 1373/918266-3 | may 94 | freightcorp row 2 : 9002 | michael wendon | 1374/918266-2 | may 94 | freightcorp row 3 : 9003 | matthew ryan | 1375/918266-1 | aug 94 | freightcorp row 4 : 9004 | kevin nichols | 1376/918266-4 | may 94 | freightcorp row 5 : 9005 | kevin barry | 1377/918266-5 | may 94 | freightcorp row 6 : 9006 | murray rose | 1378/918266-6 | may 94 | freightcorp row 7 : 9007 | dunc gray | 1379/918266-7 | may 94 | freightcorp row 8 : 9008 | ralph doubell | 1380/918266-8 | aug 94 | freightcorp row 9 : 9009 | lionel cox | 1381/918266-9 | jul 94 | freightcorp row 10 : 9010 | john devitt | 1382/918266-10 | jul 94 | freightcorp row 11 : 9011 | kevan gosper | 1383/918266-11 | jul 94 | freightcorp row 12 : 9012 | neil brooks/peter evans/ mark kerry/mark tonelli | 1384/918266-12 | jun 94 | freightcorp row 13 : 9013 | michael diamond | 1385/918266-13 | jun 94 | freightcorp row 14 : 9014 | peter antonie/stephen hawkins | 1386/918266-14 | jul 94 | freightcorp row 15 : 9015 | duncan armstrong | 1387/918266-15 | jul 94 | freightcorp row 16 : 9016 | herb elliott | 1388/918266-16 | jul 94 | freightcorp row 17 : 9017 | andrew cooper/nicholas green/ michael mckay/james tomkins | 1389/918266-17 | jun 94 | freightcorp row 18 : 9018 | john konrads | 1390/918266-18 | jul 94 | freightcorp row 19 : 9019 | dean lukin | 1391/918266-19 | jul 94 | freightcorp row 20 : 9020 | russell mark | 1392/918266-20 | jun 94 | freightcorp row 21 : 9021 | ian o'brien | 1393/918266-21 | aug 94 | freightcorp row 22 : 9022 | clint robinson | 1394/918266-22 | aug 94 | freightcorp row 23 : 9023 | robert windle | 1395/918266-23 | oct 94 | freightcorp row 24 : 9024 | john winter | 1396/918266-24 | aug 94 | freightcorp row 25 : 9025 | todd woodbridge/mark woodforde | 1397/918266-25 | aug 94 | freightcorp row 26 : 9026 | david theile | 1398/918266-26 | oct 94 | freightcorp row 27 : 9027 | none | 1399/918266-27 | aug 94 | freightcorp row 28 : 9028 | none | 1400/918266/28 | aug 94 | freightcorp row 29 : 9029 | none | 1401/918266/29 | aug 94 | freightcorp row 30 : 9030 | australian men's hockey team | 1402/918266-30 | aug 94 | freightcorp row 31 : 9031 | none | 1403/918266/31 | aug 94 | freightcorp row 32 : 9032 | none | 05-1692 | nov 05 | pacific national row 33 : 9033 | none | 05-1693 | nov 05 | pacific national row 34 : 9034 | none | 05-1694 | nov 05 | pacific national row 35 : 9035 | none | 05-1695 | nov 05 | pacific national | col : livery row 1 : freightcorp | select livery where serial no = '1393/918266-21' <table_name> : table \begin{tabular}{llllll}
\toprule
& locomotive & name & serial no & entered service & livery \\
\midrule
0 & 9001 & ernest henry & 1373/918266-3 & may 94 & freightcorp \\
1 & 9002 & michael wendon & 1374/918266-2 & may 94 & freightcorp \\
2 & 9003 & matthew ryan & 1375/918266-1 & aug 94 & freightcorp \\
3 & 9004 & kevin nichols & 1376/918266-4 & may 94 & freightcorp \\
4 & 9005 & kevin barry & 1377/918266-5 & may 94 & freightcorp \\
5 & 9006 & murray rose & 1378/918266-6 & may 94 & freightcorp \\
6 & 9007 & dunc gray & 1379/918266-7 & may 94 & freightcorp \\
7 & 9008 & ralph doubell & 1380/918266-8 & aug 94 & freightcorp \\
8 & 9009 & lionel cox & 1381/918266-9 & jul 94 & freightcorp \\
9 & 9010 & john devitt & 1382/918266-10 & jul 94 & freightcorp \\
10 & 9011 & kevan gosper & 1383/918266-11 & jul 94 & freightcorp \\
11 & 9012 & neil brooks/peter evans/ mark kerry/mark tonelli & 1384/918266-12 & jun 94 & freightcorp \\
12 & 9013 & michael diamond & 1385/918266-13 & jun 94 & freightcorp \\
13 & 9014 & peter antonie/stephen hawkins & 1386/918266-14 & jul 94 & freightcorp \\
14 & 9015 & duncan armstrong & 1387/918266-15 & jul 94 & freightcorp \\
15 & 9016 & herb elliott & 1388/918266-16 & jul 94 & freightcorp \\
16 & 9017 & andrew cooper/nicholas green/ michael mckay/james tomkins & 1389/918266-17 & jun 94 & freightcorp \\
17 & 9018 & john konrads & 1390/918266-18 & jul 94 & freightcorp \\
18 & 9019 & dean lukin & 1391/918266-19 & jul 94 & freightcorp \\
19 & 9020 & russell mark & 1392/918266-20 & jun 94 & freightcorp \\
20 & 9021 & ian o'brien & 1393/918266-21 & aug 94 & freightcorp \\
21 & 9022 & clint robinson & 1394/918266-22 & aug 94 & freightcorp \\
22 & 9023 & robert windle & 1395/918266-23 & oct 94 & freightcorp \\
23 & 9024 & john winter & 1396/918266-24 & aug 94 & freightcorp \\
24 & 9025 & todd woodbridge/mark woodforde & 1397/918266-25 & aug 94 & freightcorp \\
25 & 9026 & david theile & 1398/918266-26 & oct 94 & freightcorp \\
26 & 9027 & none & 1399/918266-27 & aug 94 & freightcorp \\
27 & 9028 & none & 1400/918266/28 & aug 94 & freightcorp \\
28 & 9029 & none & 1401/918266/29 & aug 94 & freightcorp \\
29 & 9030 & australian men's hockey team & 1402/918266-30 & aug 94 & freightcorp \\
30 & 9031 & none & 1403/918266/31 & aug 94 & freightcorp \\
31 & 9032 & none & 05-1692 & nov 05 & pacific national \\
32 & 9033 & none & 05-1693 & nov 05 & pacific national \\
33 & 9034 & none & 05-1694 & nov 05 & pacific national \\
34 & 9035 & none & 05-1695 & nov 05 & pacific national \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& livery \\
\midrule
0 & freightcorp \\
\bottomrule
\end{tabular}
| select livery where serial no = '1393/918266-21' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>locomotive</th>
<th>name</th>
<th>serial no</th>
<th>entered service</th>
<th>livery</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>9001</td>
<td>ernest henry</td>
<td>1373/918266-3</td>
<td>may 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>1</th>
<td>9002</td>
<td>michael wendon</td>
<td>1374/918266-2</td>
<td>may 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>2</th>
<td>9003</td>
<td>matthew ryan</td>
<td>1375/918266-1</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>3</th>
<td>9004</td>
<td>kevin nichols</td>
<td>1376/918266-4</td>
<td>may 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>4</th>
<td>9005</td>
<td>kevin barry</td>
<td>1377/918266-5</td>
<td>may 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>5</th>
<td>9006</td>
<td>murray rose</td>
<td>1378/918266-6</td>
<td>may 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>6</th>
<td>9007</td>
<td>dunc gray</td>
<td>1379/918266-7</td>
<td>may 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>7</th>
<td>9008</td>
<td>ralph doubell</td>
<td>1380/918266-8</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>8</th>
<td>9009</td>
<td>lionel cox</td>
<td>1381/918266-9</td>
<td>jul 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>9</th>
<td>9010</td>
<td>john devitt</td>
<td>1382/918266-10</td>
<td>jul 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>10</th>
<td>9011</td>
<td>kevan gosper</td>
<td>1383/918266-11</td>
<td>jul 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>11</th>
<td>9012</td>
<td>neil brooks/peter evans/ mark kerry/mark tonelli</td>
<td>1384/918266-12</td>
<td>jun 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>12</th>
<td>9013</td>
<td>michael diamond</td>
<td>1385/918266-13</td>
<td>jun 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>13</th>
<td>9014</td>
<td>peter antonie/stephen hawkins</td>
<td>1386/918266-14</td>
<td>jul 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>14</th>
<td>9015</td>
<td>duncan armstrong</td>
<td>1387/918266-15</td>
<td>jul 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>15</th>
<td>9016</td>
<td>herb elliott</td>
<td>1388/918266-16</td>
<td>jul 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>16</th>
<td>9017</td>
<td>andrew cooper/nicholas green/ michael mckay/james tomkins</td>
<td>1389/918266-17</td>
<td>jun 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>17</th>
<td>9018</td>
<td>john konrads</td>
<td>1390/918266-18</td>
<td>jul 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>18</th>
<td>9019</td>
<td>dean lukin</td>
<td>1391/918266-19</td>
<td>jul 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>19</th>
<td>9020</td>
<td>russell mark</td>
<td>1392/918266-20</td>
<td>jun 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>20</th>
<td>9021</td>
<td>ian o'brien</td>
<td>1393/918266-21</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>21</th>
<td>9022</td>
<td>clint robinson</td>
<td>1394/918266-22</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>22</th>
<td>9023</td>
<td>robert windle</td>
<td>1395/918266-23</td>
<td>oct 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>23</th>
<td>9024</td>
<td>john winter</td>
<td>1396/918266-24</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>24</th>
<td>9025</td>
<td>todd woodbridge/mark woodforde</td>
<td>1397/918266-25</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>25</th>
<td>9026</td>
<td>david theile</td>
<td>1398/918266-26</td>
<td>oct 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>26</th>
<td>9027</td>
<td>none</td>
<td>1399/918266-27</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>27</th>
<td>9028</td>
<td>none</td>
<td>1400/918266/28</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>28</th>
<td>9029</td>
<td>none</td>
<td>1401/918266/29</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>29</th>
<td>9030</td>
<td>australian men's hockey team</td>
<td>1402/918266-30</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>30</th>
<td>9031</td>
<td>none</td>
<td>1403/918266/31</td>
<td>aug 94</td>
<td>freightcorp</td>
</tr>
<tr>
<th>31</th>
<td>9032</td>
<td>none</td>
<td>05-1692</td>
<td>nov 05</td>
<td>pacific national</td>
</tr>
<tr>
<th>32</th>
<td>9033</td>
<td>none</td>
<td>05-1693</td>
<td>nov 05</td>
<td>pacific national</td>
</tr>
<tr>
<th>33</th>
<td>9034</td>
<td>none</td>
<td>05-1694</td>
<td>nov 05</td>
<td>pacific national</td>
</tr>
<tr>
<th>34</th>
<td>9035</td>
<td>none</td>
<td>05-1695</td>
<td>nov 05</td>
<td>pacific national</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>livery</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>freightcorp</td>
</tr>
</tbody>
</table> | select livery where serial no = '1393/918266-21' <table_name> : table | | locomotive | name | serial no | entered service | livery |
|---:|-------------:|:----------------------------------------------------------|:---------------|:------------------|:-----------------|
| 0 | 9001 | ernest henry | 1373/918266-3 | may 94 | freightcorp |
| 1 | 9002 | michael wendon | 1374/918266-2 | may 94 | freightcorp |
| 2 | 9003 | matthew ryan | 1375/918266-1 | aug 94 | freightcorp |
| 3 | 9004 | kevin nichols | 1376/918266-4 | may 94 | freightcorp |
| 4 | 9005 | kevin barry | 1377/918266-5 | may 94 | freightcorp |
| 5 | 9006 | murray rose | 1378/918266-6 | may 94 | freightcorp |
| 6 | 9007 | dunc gray | 1379/918266-7 | may 94 | freightcorp |
| 7 | 9008 | ralph doubell | 1380/918266-8 | aug 94 | freightcorp |
| 8 | 9009 | lionel cox | 1381/918266-9 | jul 94 | freightcorp |
| 9 | 9010 | john devitt | 1382/918266-10 | jul 94 | freightcorp |
| 10 | 9011 | kevan gosper | 1383/918266-11 | jul 94 | freightcorp |
| 11 | 9012 | neil brooks/peter evans/ mark kerry/mark tonelli | 1384/918266-12 | jun 94 | freightcorp |
| 12 | 9013 | michael diamond | 1385/918266-13 | jun 94 | freightcorp |
| 13 | 9014 | peter antonie/stephen hawkins | 1386/918266-14 | jul 94 | freightcorp |
| 14 | 9015 | duncan armstrong | 1387/918266-15 | jul 94 | freightcorp |
| 15 | 9016 | herb elliott | 1388/918266-16 | jul 94 | freightcorp |
| 16 | 9017 | andrew cooper/nicholas green/ michael mckay/james tomkins | 1389/918266-17 | jun 94 | freightcorp |
| 17 | 9018 | john konrads | 1390/918266-18 | jul 94 | freightcorp |
| 18 | 9019 | dean lukin | 1391/918266-19 | jul 94 | freightcorp |
| 19 | 9020 | russell mark | 1392/918266-20 | jun 94 | freightcorp |
| 20 | 9021 | ian o'brien | 1393/918266-21 | aug 94 | freightcorp |
| 21 | 9022 | clint robinson | 1394/918266-22 | aug 94 | freightcorp |
| 22 | 9023 | robert windle | 1395/918266-23 | oct 94 | freightcorp |
| 23 | 9024 | john winter | 1396/918266-24 | aug 94 | freightcorp |
| 24 | 9025 | todd woodbridge/mark woodforde | 1397/918266-25 | aug 94 | freightcorp |
| 25 | 9026 | david theile | 1398/918266-26 | oct 94 | freightcorp |
| 26 | 9027 | none | 1399/918266-27 | aug 94 | freightcorp |
| 27 | 9028 | none | 1400/918266/28 | aug 94 | freightcorp |
| 28 | 9029 | none | 1401/918266/29 | aug 94 | freightcorp |
| 29 | 9030 | australian men's hockey team | 1402/918266-30 | aug 94 | freightcorp |
| 30 | 9031 | none | 1403/918266/31 | aug 94 | freightcorp |
| 31 | 9032 | none | 05-1692 | nov 05 | pacific national |
| 32 | 9033 | none | 05-1693 | nov 05 | pacific national |
| 33 | 9034 | none | 05-1694 | nov 05 | pacific national |
| 34 | 9035 | none | 05-1695 | nov 05 | pacific national | | | | livery |
|---:|:------------|
| 0 | freightcorp | | [
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select year where year = 2006 col : year | award | category | work | result row 1 : 1992 | 8th soap opera digest awards | outstanding female newcomer: daytime | the young and the restless | nominated row 2 : 1994 | 10th soap opera digest awards | outstanding scene stealer | the young and the restless | won row 3 : 1994 | 26th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won row 4 : 1995 | 11th soap opera digest awards | hottest female star | the young and the restless | nominated row 5 : 1996 | 27th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won row 6 : 1996 | 23rd daytime emmy awards | outstanding supporting actress in a drama series | the young and the restless | nominated row 7 : 1997 | 24th daytime emmy awards | outstanding supporting actress in a drama series | the young and the restless | nominated row 8 : 1997 | 28th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won row 9 : 1998 | 25th daytime emmy awards | outstanding supporting actress in a drama series | the young and the restless | nominated row 10 : 1998 | 29th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won row 11 : 1999 | 30th naacp image award | outstanding actress in a daytime drama series | diagnosis murder | nominated row 12 : 1999 | 30th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won row 13 : 2001 | 31st naacp image award | outstanding actress in a daytime drama series | the young and the restless | won row 14 : 2003 | 34th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won row 15 : 2003 | 18th soap opera digest awards | favorite return | the young and the restless | nominated row 16 : 2004 | 35th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won row 17 : 2005 | 19th soap opera digest awards | outstanding actress in a supporting role | the young and the restless | nominated row 18 : 2005 | 36th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won row 19 : 2006 | 37th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won | col : year row 1 : 2006 | select year where year = 2006 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & award & category & work & result \\
\midrule
0 & 1992 & 8th soap opera digest awards & outstanding female newcomer: daytime & the young and the restless & nominated \\
1 & 1994 & 10th soap opera digest awards & outstanding scene stealer & the young and the restless & won \\
2 & 1994 & 26th naacp image award & outstanding actress in a daytime drama series & the young and the restless & won \\
3 & 1995 & 11th soap opera digest awards & hottest female star & the young and the restless & nominated \\
4 & 1996 & 27th naacp image award & outstanding actress in a daytime drama series & the young and the restless & won \\
5 & 1996 & 23rd daytime emmy awards & outstanding supporting actress in a drama series & the young and the restless & nominated \\
6 & 1997 & 24th daytime emmy awards & outstanding supporting actress in a drama series & the young and the restless & nominated \\
7 & 1997 & 28th naacp image award & outstanding actress in a daytime drama series & the young and the restless & won \\
8 & 1998 & 25th daytime emmy awards & outstanding supporting actress in a drama series & the young and the restless & nominated \\
9 & 1998 & 29th naacp image award & outstanding actress in a daytime drama series & the young and the restless & won \\
10 & 1999 & 30th naacp image award & outstanding actress in a daytime drama series & diagnosis murder & nominated \\
11 & 1999 & 30th naacp image award & outstanding actress in a daytime drama series & the young and the restless & won \\
12 & 2001 & 31st naacp image award & outstanding actress in a daytime drama series & the young and the restless & won \\
13 & 2003 & 34th naacp image award & outstanding actress in a daytime drama series & the young and the restless & won \\
14 & 2003 & 18th soap opera digest awards & favorite return & the young and the restless & nominated \\
15 & 2004 & 35th naacp image award & outstanding actress in a daytime drama series & the young and the restless & won \\
16 & 2005 & 19th soap opera digest awards & outstanding actress in a supporting role & the young and the restless & nominated \\
17 & 2005 & 36th naacp image award & outstanding actress in a daytime drama series & the young and the restless & won \\
18 & 2006 & 37th naacp image award & outstanding actress in a daytime drama series & the young and the restless & won \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 2006 \\
\bottomrule
\end{tabular}
| select year where year = 2006 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>award</th>
<th>category</th>
<th>work</th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1992</td>
<td>8th soap opera digest awards</td>
<td>outstanding female newcomer: daytime</td>
<td>the young and the restless</td>
<td>nominated</td>
</tr>
<tr>
<th>1</th>
<td>1994</td>
<td>10th soap opera digest awards</td>
<td>outstanding scene stealer</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
<tr>
<th>2</th>
<td>1994</td>
<td>26th naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
<tr>
<th>3</th>
<td>1995</td>
<td>11th soap opera digest awards</td>
<td>hottest female star</td>
<td>the young and the restless</td>
<td>nominated</td>
</tr>
<tr>
<th>4</th>
<td>1996</td>
<td>27th naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
<tr>
<th>5</th>
<td>1996</td>
<td>23rd daytime emmy awards</td>
<td>outstanding supporting actress in a drama series</td>
<td>the young and the restless</td>
<td>nominated</td>
</tr>
<tr>
<th>6</th>
<td>1997</td>
<td>24th daytime emmy awards</td>
<td>outstanding supporting actress in a drama series</td>
<td>the young and the restless</td>
<td>nominated</td>
</tr>
<tr>
<th>7</th>
<td>1997</td>
<td>28th naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
<tr>
<th>8</th>
<td>1998</td>
<td>25th daytime emmy awards</td>
<td>outstanding supporting actress in a drama series</td>
<td>the young and the restless</td>
<td>nominated</td>
</tr>
<tr>
<th>9</th>
<td>1998</td>
<td>29th naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
<tr>
<th>10</th>
<td>1999</td>
<td>30th naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>diagnosis murder</td>
<td>nominated</td>
</tr>
<tr>
<th>11</th>
<td>1999</td>
<td>30th naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
<tr>
<th>12</th>
<td>2001</td>
<td>31st naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
<tr>
<th>13</th>
<td>2003</td>
<td>34th naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
<tr>
<th>14</th>
<td>2003</td>
<td>18th soap opera digest awards</td>
<td>favorite return</td>
<td>the young and the restless</td>
<td>nominated</td>
</tr>
<tr>
<th>15</th>
<td>2004</td>
<td>35th naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
<tr>
<th>16</th>
<td>2005</td>
<td>19th soap opera digest awards</td>
<td>outstanding actress in a supporting role</td>
<td>the young and the restless</td>
<td>nominated</td>
</tr>
<tr>
<th>17</th>
<td>2005</td>
<td>36th naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
<tr>
<th>18</th>
<td>2006</td>
<td>37th naacp image award</td>
<td>outstanding actress in a daytime drama series</td>
<td>the young and the restless</td>
<td>won</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2006</td>
</tr>
</tbody>
</table> | select year where year = 2006 <table_name> : table | | year | award | category | work | result |
|---:|-------:|:------------------------------|:-------------------------------------------------|:---------------------------|:----------|
| 0 | 1992 | 8th soap opera digest awards | outstanding female newcomer: daytime | the young and the restless | nominated |
| 1 | 1994 | 10th soap opera digest awards | outstanding scene stealer | the young and the restless | won |
| 2 | 1994 | 26th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won |
| 3 | 1995 | 11th soap opera digest awards | hottest female star | the young and the restless | nominated |
| 4 | 1996 | 27th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won |
| 5 | 1996 | 23rd daytime emmy awards | outstanding supporting actress in a drama series | the young and the restless | nominated |
| 6 | 1997 | 24th daytime emmy awards | outstanding supporting actress in a drama series | the young and the restless | nominated |
| 7 | 1997 | 28th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won |
| 8 | 1998 | 25th daytime emmy awards | outstanding supporting actress in a drama series | the young and the restless | nominated |
| 9 | 1998 | 29th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won |
| 10 | 1999 | 30th naacp image award | outstanding actress in a daytime drama series | diagnosis murder | nominated |
| 11 | 1999 | 30th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won |
| 12 | 2001 | 31st naacp image award | outstanding actress in a daytime drama series | the young and the restless | won |
| 13 | 2003 | 34th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won |
| 14 | 2003 | 18th soap opera digest awards | favorite return | the young and the restless | nominated |
| 15 | 2004 | 35th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won |
| 16 | 2005 | 19th soap opera digest awards | outstanding actress in a supporting role | the young and the restless | nominated |
| 17 | 2005 | 36th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won |
| 18 | 2006 | 37th naacp image award | outstanding actress in a daytime drama series | the young and the restless | won | | | | year |
|---:|-------:|
| 0 | 2006 | | [
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select frequency band where band number = 2 col : frequency band | band number | radio interface | generation | status | notes row 1 : 850 mhz | 5 | gsm/gprs/edge | 2g | roaming | not operated by t-mobile, except for cma629 in sc after the acquisition of suncom. competitor 850 mhz networks are accessible via roaming agreements row 2 : 850 mhz clr | 5 | umts/hspa | 3g | roaming | not operated by t-mobile. after the failed acquisition of t-mobile usa by at&t, part of the failed acquisition was a 7-year at&t 3g roaming agreement row 3 : 1900 mhz | 2 | gsm/gprs/edge | 2g | in service | most of this spectrum will be upgraded to 4g/lte networks in the next two years. (more details see 4g lte upgrade) it is unclear if that means this network will be decommissioned anytime soon, but it is possible row 4 : 1700/2100 mhz aws | 4 | umts/dc-hspa 42mbit/s | 4g | in service | has marketed 3g hspa+ as "4g" since 2011. covers 230 million+ pops as of march, 2014 row 5 : 1900 mhz pcs | 2 | umts/hspa+ 21mbit/s | 4g | in service/building out | hspa+ 21mbps on the 1900 band - this is due to the t-mobile's 1900mhz not being dc-hsdpa capable. moving 3g hspa+ traffic to this band. covers 203 million pops as of oct, 2013 row 6 : 1700/2100 mhz aws | 4 | lte | 4g | in service/building out | covers 210 million pops as of march, 2014 row 7 : 700 mhz block a | 12 | lte | 4g | rollout starts by q4 2014 | spectrum acquired from verizon wireless row 8 : 1900 mhz pcs | 2 | lte | 4g | rolling out in 2014 | none | col : frequency band row 1 : 1900 mhz row 2 : 1900 mhz pcs row 3 : 1900 mhz pcs | select frequency band where band number = 2 <table_name> : table \begin{tabular}{lllllll}
\toprule
& frequency band & band number & radio interface & generation & status & notes \\
\midrule
0 & 850 mhz & 5 & gsm/gprs/edge & 2g & roaming & not operated by t-mobile, except for cma629 in sc after the acquisition of suncom. competitor 850 mhz networks are accessible via roaming agreements \\
1 & 850 mhz clr & 5 & umts/hspa & 3g & roaming & not operated by t-mobile. after the failed acquisition of t-mobile usa by at&t, part of the failed acquisition was a 7-year at&t 3g roaming agreement \\
2 & 1900 mhz & 2 & gsm/gprs/edge & 2g & in service & most of this spectrum will be upgraded to 4g/lte networks in the next two years. (more details see 4g lte upgrade) it is unclear if that means this network will be decommissioned anytime soon, but it is possible \\
3 & 1700/2100 mhz aws & 4 & umts/dc-hspa 42mbit/s & 4g & in service & has marketed 3g hspa+ as "4g" since 2011. covers 230 million+ pops as of march, 2014 \\
4 & 1900 mhz pcs & 2 & umts/hspa+ 21mbit/s & 4g & in service/building out & hspa+ 21mbps on the 1900 band - this is due to the t-mobile's 1900mhz not being dc-hsdpa capable. moving 3g hspa+ traffic to this band. covers 203 million pops as of oct, 2013 \\
5 & 1700/2100 mhz aws & 4 & lte & 4g & in service/building out & covers 210 million pops as of march, 2014 \\
6 & 700 mhz block a & 12 & lte & 4g & rollout starts by q4 2014 & spectrum acquired from verizon wireless \\
7 & 1900 mhz pcs & 2 & lte & 4g & rolling out in 2014 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& frequency band \\
\midrule
0 & 1900 mhz \\
1 & 1900 mhz pcs \\
2 & 1900 mhz pcs \\
\bottomrule
\end{tabular}
| select frequency band where band number = 2 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>frequency band</th>
<th>band number</th>
<th>radio interface</th>
<th>generation</th>
<th>status</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>850 mhz</td>
<td>5</td>
<td>gsm/gprs/edge</td>
<td>2g</td>
<td>roaming</td>
<td>not operated by t-mobile, except for cma629 in sc after the acquisition of suncom. competitor 850 mhz networks are accessible via roaming agreements</td>
</tr>
<tr>
<th>1</th>
<td>850 mhz clr</td>
<td>5</td>
<td>umts/hspa</td>
<td>3g</td>
<td>roaming</td>
<td>not operated by t-mobile. after the failed acquisition of t-mobile usa by at&t, part of the failed acquisition was a 7-year at&t 3g roaming agreement</td>
</tr>
<tr>
<th>2</th>
<td>1900 mhz</td>
<td>2</td>
<td>gsm/gprs/edge</td>
<td>2g</td>
<td>in service</td>
<td>most of this spectrum will be upgraded to 4g/lte networks in the next two years. (more details see 4g lte upgrade) it is unclear if that means this network will be decommissioned anytime soon, but it is possible</td>
</tr>
<tr>
<th>3</th>
<td>1700/2100 mhz aws</td>
<td>4</td>
<td>umts/dc-hspa 42mbit/s</td>
<td>4g</td>
<td>in service</td>
<td>has marketed 3g hspa+ as "4g" since 2011. covers 230 million+ pops as of march, 2014</td>
</tr>
<tr>
<th>4</th>
<td>1900 mhz pcs</td>
<td>2</td>
<td>umts/hspa+ 21mbit/s</td>
<td>4g</td>
<td>in service/building out</td>
<td>hspa+ 21mbps on the 1900 band - this is due to the t-mobile's 1900mhz not being dc-hsdpa capable. moving 3g hspa+ traffic to this band. covers 203 million pops as of oct, 2013</td>
</tr>
<tr>
<th>5</th>
<td>1700/2100 mhz aws</td>
<td>4</td>
<td>lte</td>
<td>4g</td>
<td>in service/building out</td>
<td>covers 210 million pops as of march, 2014</td>
</tr>
<tr>
<th>6</th>
<td>700 mhz block a</td>
<td>12</td>
<td>lte</td>
<td>4g</td>
<td>rollout starts by q4 2014</td>
<td>spectrum acquired from verizon wireless</td>
</tr>
<tr>
<th>7</th>
<td>1900 mhz pcs</td>
<td>2</td>
<td>lte</td>
<td>4g</td>
<td>rolling out in 2014</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>frequency band</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1900 mhz</td>
</tr>
<tr>
<th>1</th>
<td>1900 mhz pcs</td>
</tr>
<tr>
<th>2</th>
<td>1900 mhz pcs</td>
</tr>
</tbody>
</table> | select frequency band where band number = 2 <table_name> : table | | frequency band | band number | radio interface | generation | status | notes |
|---:|:------------------|--------------:|:----------------------|:-------------|:--------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 850 mhz | 5 | gsm/gprs/edge | 2g | roaming | not operated by t-mobile, except for cma629 in sc after the acquisition of suncom. competitor 850 mhz networks are accessible via roaming agreements |
| 1 | 850 mhz clr | 5 | umts/hspa | 3g | roaming | not operated by t-mobile. after the failed acquisition of t-mobile usa by at&t, part of the failed acquisition was a 7-year at&t 3g roaming agreement |
| 2 | 1900 mhz | 2 | gsm/gprs/edge | 2g | in service | most of this spectrum will be upgraded to 4g/lte networks in the next two years. (more details see 4g lte upgrade) it is unclear if that means this network will be decommissioned anytime soon, but it is possible |
| 3 | 1700/2100 mhz aws | 4 | umts/dc-hspa 42mbit/s | 4g | in service | has marketed 3g hspa+ as "4g" since 2011. covers 230 million+ pops as of march, 2014 |
| 4 | 1900 mhz pcs | 2 | umts/hspa+ 21mbit/s | 4g | in service/building out | hspa+ 21mbps on the 1900 band - this is due to the t-mobile's 1900mhz not being dc-hsdpa capable. moving 3g hspa+ traffic to this band. covers 203 million pops as of oct, 2013 |
| 5 | 1700/2100 mhz aws | 4 | lte | 4g | in service/building out | covers 210 million pops as of march, 2014 |
| 6 | 700 mhz block a | 12 | lte | 4g | rollout starts by q4 2014 | spectrum acquired from verizon wireless |
| 7 | 1900 mhz pcs | 2 | lte | 4g | rolling out in 2014 | none | | | | frequency band |
|---:|:-----------------|
| 0 | 1900 mhz |
| 1 | 1900 mhz pcs |
| 2 | 1900 mhz pcs | | [
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select organization where introduced = 1989 col : treaty | organization | introduced | signed | ratified row 1 : convention on the prevention and punishment of the crime of genocide | united nations | 1948 | none | 1958 row 2 : international convention on the elimination of all forms of racial discrimination | united nations | 1966 | 1967 | 1970 row 3 : international covenant on economic, social and cultural rights | united nations | 1966 | 1977 | 1979 row 4 : international covenant on civil and political rights | united nations | 1966 | 1977 | 1979 row 5 : first optional protocol to the international covenant on civil and political rights | united nations | 1966 | none | none row 6 : convention on the non-applicability of statutory limitations to war crimes and crimes against humanity | united nations | 1968 | none | none row 7 : international convention on the suppression and punishment of the crime of apartheid | united nations | 1973 | none | none row 8 : convention on the elimination of all forms of discrimination against women | united nations | 1979 | none | 1993 row 9 : convention against torture and other cruel, inhuman or degrading treatment or punishment | united nations | 1984 | 1986 | 1993 row 10 : convention on the rights of the child | united nations | 1989 | 1990 | 1993 row 11 : second optional protocol to the international covenant on civil and political rights, aiming at the abolition of the death penalty | united nations | 1989 | none | none row 12 : international convention on the protection of the rights of all migrant workers and members of their families | united nations | 1990 | 1991 | 1993 row 13 : optional protocol to the convention on the elimination of all forms of discrimination against women | united nations | 1999 | none | none row 14 : optional protocol to the convention on the rights of the child on the involvement of children in armed conflict | united nations | 2000 | 2000 | 2002 row 15 : optional protocol to the convention on the rights of the child on the sale of children, child prostitution and child pornography | united nations | 2000 | 2000 | 2001 row 16 : convention on the rights of persons with disabilities | united nations | 2006 | 2007 | 2009 row 17 : optional protocol to the convention on the rights of persons with disabilities | united nations | 2006 | none | 2009 row 18 : international convention for the protection of all persons from enforced disappearance | united nations | 2006 | 2007 | 2013 row 19 : optional protocol to the international covenant on economic, social and cultural rights | united nations | 2008 | none | none row 20 : optional protocol to the convention on the rights of the child on a communications procedure | united nations | 2011 | 2012 | none | col : organization row 1 : united nations row 2 : united nations | select organization where introduced = 1989 <table_name> : table \begin{tabular}{llllll}
\toprule
& treaty & organization & introduced & signed & ratified \\
\midrule
0 & convention on the prevention and punishment of the crime of genocide & united nations & 1948 & none & 1958 \\
1 & international convention on the elimination of all forms of racial discrimination & united nations & 1966 & 1967 & 1970 \\
2 & international covenant on economic, social and cultural rights & united nations & 1966 & 1977 & 1979 \\
3 & international covenant on civil and political rights & united nations & 1966 & 1977 & 1979 \\
4 & first optional protocol to the international covenant on civil and political rights & united nations & 1966 & none & none \\
5 & convention on the non-applicability of statutory limitations to war crimes and crimes against humanity & united nations & 1968 & none & none \\
6 & international convention on the suppression and punishment of the crime of apartheid & united nations & 1973 & none & none \\
7 & convention on the elimination of all forms of discrimination against women & united nations & 1979 & none & 1993 \\
8 & convention against torture and other cruel, inhuman or degrading treatment or punishment & united nations & 1984 & 1986 & 1993 \\
9 & convention on the rights of the child & united nations & 1989 & 1990 & 1993 \\
10 & second optional protocol to the international covenant on civil and political rights, aiming at the abolition of the death penalty & united nations & 1989 & none & none \\
11 & international convention on the protection of the rights of all migrant workers and members of their families & united nations & 1990 & 1991 & 1993 \\
12 & optional protocol to the convention on the elimination of all forms of discrimination against women & united nations & 1999 & none & none \\
13 & optional protocol to the convention on the rights of the child on the involvement of children in armed conflict & united nations & 2000 & 2000 & 2002 \\
14 & optional protocol to the convention on the rights of the child on the sale of children, child prostitution and child pornography & united nations & 2000 & 2000 & 2001 \\
15 & convention on the rights of persons with disabilities & united nations & 2006 & 2007 & 2009 \\
16 & optional protocol to the convention on the rights of persons with disabilities & united nations & 2006 & none & 2009 \\
17 & international convention for the protection of all persons from enforced disappearance & united nations & 2006 & 2007 & 2013 \\
18 & optional protocol to the international covenant on economic, social and cultural rights & united nations & 2008 & none & none \\
19 & optional protocol to the convention on the rights of the child on a communications procedure & united nations & 2011 & 2012 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& organization \\
\midrule
0 & united nations \\
1 & united nations \\
\bottomrule
\end{tabular}
| select organization where introduced = 1989 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>treaty</th>
<th>organization</th>
<th>introduced</th>
<th>signed</th>
<th>ratified</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>convention on the prevention and punishment of the crime of genocide</td>
<td>united nations</td>
<td>1948</td>
<td>none</td>
<td>1958</td>
</tr>
<tr>
<th>1</th>
<td>international convention on the elimination of all forms of racial discrimination</td>
<td>united nations</td>
<td>1966</td>
<td>1967</td>
<td>1970</td>
</tr>
<tr>
<th>2</th>
<td>international covenant on economic, social and cultural rights</td>
<td>united nations</td>
<td>1966</td>
<td>1977</td>
<td>1979</td>
</tr>
<tr>
<th>3</th>
<td>international covenant on civil and political rights</td>
<td>united nations</td>
<td>1966</td>
<td>1977</td>
<td>1979</td>
</tr>
<tr>
<th>4</th>
<td>first optional protocol to the international covenant on civil and political rights</td>
<td>united nations</td>
<td>1966</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>convention on the non-applicability of statutory limitations to war crimes and crimes against humanity</td>
<td>united nations</td>
<td>1968</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>international convention on the suppression and punishment of the crime of apartheid</td>
<td>united nations</td>
<td>1973</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>convention on the elimination of all forms of discrimination against women</td>
<td>united nations</td>
<td>1979</td>
<td>none</td>
<td>1993</td>
</tr>
<tr>
<th>8</th>
<td>convention against torture and other cruel, inhuman or degrading treatment or punishment</td>
<td>united nations</td>
<td>1984</td>
<td>1986</td>
<td>1993</td>
</tr>
<tr>
<th>9</th>
<td>convention on the rights of the child</td>
<td>united nations</td>
<td>1989</td>
<td>1990</td>
<td>1993</td>
</tr>
<tr>
<th>10</th>
<td>second optional protocol to the international covenant on civil and political rights, aiming at the abolition of the death penalty</td>
<td>united nations</td>
<td>1989</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>international convention on the protection of the rights of all migrant workers and members of their families</td>
<td>united nations</td>
<td>1990</td>
<td>1991</td>
<td>1993</td>
</tr>
<tr>
<th>12</th>
<td>optional protocol to the convention on the elimination of all forms of discrimination against women</td>
<td>united nations</td>
<td>1999</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>optional protocol to the convention on the rights of the child on the involvement of children in armed conflict</td>
<td>united nations</td>
<td>2000</td>
<td>2000</td>
<td>2002</td>
</tr>
<tr>
<th>14</th>
<td>optional protocol to the convention on the rights of the child on the sale of children, child prostitution and child pornography</td>
<td>united nations</td>
<td>2000</td>
<td>2000</td>
<td>2001</td>
</tr>
<tr>
<th>15</th>
<td>convention on the rights of persons with disabilities</td>
<td>united nations</td>
<td>2006</td>
<td>2007</td>
<td>2009</td>
</tr>
<tr>
<th>16</th>
<td>optional protocol to the convention on the rights of persons with disabilities</td>
<td>united nations</td>
<td>2006</td>
<td>none</td>
<td>2009</td>
</tr>
<tr>
<th>17</th>
<td>international convention for the protection of all persons from enforced disappearance</td>
<td>united nations</td>
<td>2006</td>
<td>2007</td>
<td>2013</td>
</tr>
<tr>
<th>18</th>
<td>optional protocol to the international covenant on economic, social and cultural rights</td>
<td>united nations</td>
<td>2008</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>optional protocol to the convention on the rights of the child on a communications procedure</td>
<td>united nations</td>
<td>2011</td>
<td>2012</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>organization</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>united nations</td>
</tr>
<tr>
<th>1</th>
<td>united nations</td>
</tr>
</tbody>
</table> | select organization where introduced = 1989 <table_name> : table | | treaty | organization | introduced | signed | ratified |
|---:|:-----------------------------------------------------------------------------------------------------------------------------------|:---------------|-------------:|:---------|:-----------|
| 0 | convention on the prevention and punishment of the crime of genocide | united nations | 1948 | none | 1958 |
| 1 | international convention on the elimination of all forms of racial discrimination | united nations | 1966 | 1967 | 1970 |
| 2 | international covenant on economic, social and cultural rights | united nations | 1966 | 1977 | 1979 |
| 3 | international covenant on civil and political rights | united nations | 1966 | 1977 | 1979 |
| 4 | first optional protocol to the international covenant on civil and political rights | united nations | 1966 | none | none |
| 5 | convention on the non-applicability of statutory limitations to war crimes and crimes against humanity | united nations | 1968 | none | none |
| 6 | international convention on the suppression and punishment of the crime of apartheid | united nations | 1973 | none | none |
| 7 | convention on the elimination of all forms of discrimination against women | united nations | 1979 | none | 1993 |
| 8 | convention against torture and other cruel, inhuman or degrading treatment or punishment | united nations | 1984 | 1986 | 1993 |
| 9 | convention on the rights of the child | united nations | 1989 | 1990 | 1993 |
| 10 | second optional protocol to the international covenant on civil and political rights, aiming at the abolition of the death penalty | united nations | 1989 | none | none |
| 11 | international convention on the protection of the rights of all migrant workers and members of their families | united nations | 1990 | 1991 | 1993 |
| 12 | optional protocol to the convention on the elimination of all forms of discrimination against women | united nations | 1999 | none | none |
| 13 | optional protocol to the convention on the rights of the child on the involvement of children in armed conflict | united nations | 2000 | 2000 | 2002 |
| 14 | optional protocol to the convention on the rights of the child on the sale of children, child prostitution and child pornography | united nations | 2000 | 2000 | 2001 |
| 15 | convention on the rights of persons with disabilities | united nations | 2006 | 2007 | 2009 |
| 16 | optional protocol to the convention on the rights of persons with disabilities | united nations | 2006 | none | 2009 |
| 17 | international convention for the protection of all persons from enforced disappearance | united nations | 2006 | 2007 | 2013 |
| 18 | optional protocol to the international covenant on economic, social and cultural rights | united nations | 2008 | none | none |
| 19 | optional protocol to the convention on the rights of the child on a communications procedure | united nations | 2011 | 2012 | none | | | | organization |
|---:|:---------------|
| 0 | united nations |
| 1 | united nations | | [
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select count ( recorded ) where translation = 1826 col : track | title | translation | composer | recorded row 1 : 1 | "demain l'on se marie (la chanson des fiances)" | tomor | | row 2 : we'll marry (the song of the fiances) | jacques brel | 1958-03-14 | | row 3 : 2 | "au printemps" | in the spring | jacques brel | 1958-04-01 row 4 : 3 | "je ne sais pas" | i don't know | jacques brel | 1958-04-01 row 5 : 4 | "le colonel" | the colonel | jacques brel, gaby wagenheim | 1958-04-01 row 6 : 5 | "dors ma mie, bonsoir" | sleep my love, good night | jacques brel, francois rauber | 1958-03-12 row 7 : 6 | "la lumiere jaillira" | the light will shine | jacques brel, francois rauber | 1958-04-01 row 8 : 7 | "dites, si c'etait vrai" (poeme) | say, if it were true (poem) | jacques brel | 1958-04-01 row 9 : 8 | "l'homme dans la cite" | the man in the city | jacques brel, francois rauber | 1958-04-01 row 10 : 9 | "litanies pour un retour" | litanies for a return | jacques brel, francois rauber | 1958-04-01 row 11 : 10 | "voici" | here | jacques brel, francois rauber | 1958-04-01 row 12 : 11 | "voir" | see | jacques brel | 1958-10-07 row 13 : 12 | "l'aventure" | the adventure | jacques brel | 1958-10-21 row 14 : 13 | "dites, si c'etait vrai" (poeme) | say, if it were true (poem) | jacques brel | 1956-09-19 | col : count ( "recorded" ) row 1 : 0 | select count ( recorded ) where translation = 1826 <table_name> : table \begin{tabular}{llllll}
\toprule
& track & title & translation & composer & recorded \\
\midrule
0 & 1 & "demain l'on se marie (la chanson des fiances)" & tomor & & \\
1 & we'll marry (the song of the fiances) & jacques brel & 1958-03-14 & & \\
2 & 2 & "au printemps" & in the spring & jacques brel & 1958-04-01 \\
3 & 3 & "je ne sais pas" & i don't know & jacques brel & 1958-04-01 \\
4 & 4 & "le colonel" & the colonel & jacques brel, gaby wagenheim & 1958-04-01 \\
5 & 5 & "dors ma mie, bonsoir" & sleep my love, good night & jacques brel, francois rauber & 1958-03-12 \\
6 & 6 & "la lumiere jaillira" & the light will shine & jacques brel, francois rauber & 1958-04-01 \\
7 & 7 & "dites, si c'etait vrai" (poeme) & say, if it were true (poem) & jacques brel & 1958-04-01 \\
8 & 8 & "l'homme dans la cite" & the man in the city & jacques brel, francois rauber & 1958-04-01 \\
9 & 9 & "litanies pour un retour" & litanies for a return & jacques brel, francois rauber & 1958-04-01 \\
10 & 10 & "voici" & here & jacques brel, francois rauber & 1958-04-01 \\
11 & 11 & "voir" & see & jacques brel & 1958-10-07 \\
12 & 12 & "l'aventure" & the adventure & jacques brel & 1958-10-21 \\
13 & 13 & "dites, si c'etait vrai" (poeme) & say, if it were true (poem) & jacques brel & 1956-09-19 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "recorded" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( recorded ) where translation = 1826 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>track</th>
<th>title</th>
<th>translation</th>
<th>composer</th>
<th>recorded</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>"demain l'on se marie (la chanson des fiances)"</td>
<td>tomor</td>
<td></td>
<td></td>
</tr>
<tr>
<th>1</th>
<td>we'll marry (the song of the fiances)</td>
<td>jacques brel</td>
<td>1958-03-14</td>
<td></td>
<td></td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>"au printemps"</td>
<td>in the spring</td>
<td>jacques brel</td>
<td>1958-04-01</td>
</tr>
<tr>
<th>3</th>
<td>3</td>
<td>"je ne sais pas"</td>
<td>i don't know</td>
<td>jacques brel</td>
<td>1958-04-01</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>"le colonel"</td>
<td>the colonel</td>
<td>jacques brel, gaby wagenheim</td>
<td>1958-04-01</td>
</tr>
<tr>
<th>5</th>
<td>5</td>
<td>"dors ma mie, bonsoir"</td>
<td>sleep my love, good night</td>
<td>jacques brel, francois rauber</td>
<td>1958-03-12</td>
</tr>
<tr>
<th>6</th>
<td>6</td>
<td>"la lumiere jaillira"</td>
<td>the light will shine</td>
<td>jacques brel, francois rauber</td>
<td>1958-04-01</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>"dites, si c'etait vrai" (poeme)</td>
<td>say, if it were true (poem)</td>
<td>jacques brel</td>
<td>1958-04-01</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>"l'homme dans la cite"</td>
<td>the man in the city</td>
<td>jacques brel, francois rauber</td>
<td>1958-04-01</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>"litanies pour un retour"</td>
<td>litanies for a return</td>
<td>jacques brel, francois rauber</td>
<td>1958-04-01</td>
</tr>
<tr>
<th>10</th>
<td>10</td>
<td>"voici"</td>
<td>here</td>
<td>jacques brel, francois rauber</td>
<td>1958-04-01</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>"voir"</td>
<td>see</td>
<td>jacques brel</td>
<td>1958-10-07</td>
</tr>
<tr>
<th>12</th>
<td>12</td>
<td>"l'aventure"</td>
<td>the adventure</td>
<td>jacques brel</td>
<td>1958-10-21</td>
</tr>
<tr>
<th>13</th>
<td>13</td>
<td>"dites, si c'etait vrai" (poeme)</td>
<td>say, if it were true (poem)</td>
<td>jacques brel</td>
<td>1956-09-19</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "recorded" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( recorded ) where translation = 1826 <table_name> : table | | track | title | translation | composer | recorded |
|---:|:--------------------------------------|:------------------------------------------------|:----------------------------|:------------------------------|:-----------|
| 0 | 1 | "demain l'on se marie (la chanson des fiances)" | tomor | | |
| 1 | we'll marry (the song of the fiances) | jacques brel | 1958-03-14 | | |
| 2 | 2 | "au printemps" | in the spring | jacques brel | 1958-04-01 |
| 3 | 3 | "je ne sais pas" | i don't know | jacques brel | 1958-04-01 |
| 4 | 4 | "le colonel" | the colonel | jacques brel, gaby wagenheim | 1958-04-01 |
| 5 | 5 | "dors ma mie, bonsoir" | sleep my love, good night | jacques brel, francois rauber | 1958-03-12 |
| 6 | 6 | "la lumiere jaillira" | the light will shine | jacques brel, francois rauber | 1958-04-01 |
| 7 | 7 | "dites, si c'etait vrai" (poeme) | say, if it were true (poem) | jacques brel | 1958-04-01 |
| 8 | 8 | "l'homme dans la cite" | the man in the city | jacques brel, francois rauber | 1958-04-01 |
| 9 | 9 | "litanies pour un retour" | litanies for a return | jacques brel, francois rauber | 1958-04-01 |
| 10 | 10 | "voici" | here | jacques brel, francois rauber | 1958-04-01 |
| 11 | 11 | "voir" | see | jacques brel | 1958-10-07 |
| 12 | 12 | "l'aventure" | the adventure | jacques brel | 1958-10-21 |
| 13 | 13 | "dites, si c'etait vrai" (poeme) | say, if it were true (poem) | jacques brel | 1956-09-19 | | | | count ( "recorded" ) |
|---:|-----------------------:|
| 0 | 0 | | [
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select count ( party ) where party = 'republican' col : party | active voters | inactive voters | total voters | percentage row 1 : republican | 13916 | 5342 | 19258 | 25.61% row 2 : democratic | 21493 | 7115 | 28608 | 38.05% row 3 : unaffiliated | 20118 | 7062 | 27180 | 36.15% row 4 : minor parties | 100 | 40 | 140 | 0.19% row 5 : total | 55627 | 19559 | 75186 | 100% | col : count ( "party" ) row 1 : 1 | select count ( party ) where party = 'republican' <table_name> : table \begin{tabular}{llllll}
\toprule
& party & active voters & inactive voters & total voters & percentage \\
\midrule
0 & republican & 13916 & 5342 & 19258 & 25.61% \\
1 & democratic & 21493 & 7115 & 28608 & 38.05% \\
2 & unaffiliated & 20118 & 7062 & 27180 & 36.15% \\
3 & minor parties & 100 & 40 & 140 & 0.19% \\
4 & total & 55627 & 19559 & 75186 & 100% \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "party" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( party ) where party = 'republican' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>party</th>
<th>active voters</th>
<th>inactive voters</th>
<th>total voters</th>
<th>percentage</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>republican</td>
<td>13916</td>
<td>5342</td>
<td>19258</td>
<td>25.61%</td>
</tr>
<tr>
<th>1</th>
<td>democratic</td>
<td>21493</td>
<td>7115</td>
<td>28608</td>
<td>38.05%</td>
</tr>
<tr>
<th>2</th>
<td>unaffiliated</td>
<td>20118</td>
<td>7062</td>
<td>27180</td>
<td>36.15%</td>
</tr>
<tr>
<th>3</th>
<td>minor parties</td>
<td>100</td>
<td>40</td>
<td>140</td>
<td>0.19%</td>
</tr>
<tr>
<th>4</th>
<td>total</td>
<td>55627</td>
<td>19559</td>
<td>75186</td>
<td>100%</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "party" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( party ) where party = 'republican' <table_name> : table | | party | active voters | inactive voters | total voters | percentage |
|---:|:--------------|----------------:|------------------:|---------------:|:-------------|
| 0 | republican | 13916 | 5342 | 19258 | 25.61% |
| 1 | democratic | 21493 | 7115 | 28608 | 38.05% |
| 2 | unaffiliated | 20118 | 7062 | 27180 | 36.15% |
| 3 | minor parties | 100 | 40 | 140 | 0.19% |
| 4 | total | 55627 | 19559 | 75186 | 100% | | | | count ( "party" ) |
|---:|--------------------:|
| 0 | 1 | | [
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select viewers where airdate = '29 may 2010' col : episode | airdate | game 1 | game 2 | game 3 | viewers row 1 : 1 | 17 april 2010 | 'twin peaks' | 'a walk in the dark' | 'lock and key' | 4.52m row 2 : 2 | 24 april 2010 | 'caught in the net' | 'stick 'em up' | 'power trip' | 4.41m row 3 : 3 | 1 may 2010 | 'knotting hills' | 'it's a wrap!' | 'lock and key' | 4.31m row 4 : 4 | 8 may 2010 | 'caught in the net' | 'a walk in the dark' | 'power trip' | 4.44m row 5 : 5 | 15 may 2010 | 'twin peaks' | 'it's a wrap!' | 'lock and key' | 4.46m row 6 : 6 | 22 may 2010 | 'knotting hills' | 'stick 'em up' | 'power trip' | under 2.61m row 7 : 7 | 29 may 2010 | 'caught in the net' | 'a walk in the dark' | 'lock and key' | 4.68m row 8 : 8 | 5 june 2010 | 'knotting hills' | 'stick 'em up' | 'lock and key' | 3.44m | col : viewers row 1 : 4.68m | select viewers where airdate = '29 may 2010' <table_name> : table \begin{tabular}{lllllll}
\toprule
& episode & airdate & game 1 & game 2 & game 3 & viewers \\
\midrule
0 & 1 & 17 april 2010 & 'twin peaks' & 'a walk in the dark' & 'lock and key' & 4.52m \\
1 & 2 & 24 april 2010 & 'caught in the net' & 'stick 'em up' & 'power trip' & 4.41m \\
2 & 3 & 1 may 2010 & 'knotting hills' & 'it's a wrap!' & 'lock and key' & 4.31m \\
3 & 4 & 8 may 2010 & 'caught in the net' & 'a walk in the dark' & 'power trip' & 4.44m \\
4 & 5 & 15 may 2010 & 'twin peaks' & 'it's a wrap!' & 'lock and key' & 4.46m \\
5 & 6 & 22 may 2010 & 'knotting hills' & 'stick 'em up' & 'power trip' & under 2.61m \\
6 & 7 & 29 may 2010 & 'caught in the net' & 'a walk in the dark' & 'lock and key' & 4.68m \\
7 & 8 & 5 june 2010 & 'knotting hills' & 'stick 'em up' & 'lock and key' & 3.44m \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& viewers \\
\midrule
0 & 4.68m \\
\bottomrule
\end{tabular}
| select viewers where airdate = '29 may 2010' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>episode</th>
<th>airdate</th>
<th>game 1</th>
<th>game 2</th>
<th>game 3</th>
<th>viewers</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>17 april 2010</td>
<td>'twin peaks'</td>
<td>'a walk in the dark'</td>
<td>'lock and key'</td>
<td>4.52m</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>24 april 2010</td>
<td>'caught in the net'</td>
<td>'stick 'em up'</td>
<td>'power trip'</td>
<td>4.41m</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1 may 2010</td>
<td>'knotting hills'</td>
<td>'it's a wrap!'</td>
<td>'lock and key'</td>
<td>4.31m</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>8 may 2010</td>
<td>'caught in the net'</td>
<td>'a walk in the dark'</td>
<td>'power trip'</td>
<td>4.44m</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>15 may 2010</td>
<td>'twin peaks'</td>
<td>'it's a wrap!'</td>
<td>'lock and key'</td>
<td>4.46m</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>22 may 2010</td>
<td>'knotting hills'</td>
<td>'stick 'em up'</td>
<td>'power trip'</td>
<td>under 2.61m</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>29 may 2010</td>
<td>'caught in the net'</td>
<td>'a walk in the dark'</td>
<td>'lock and key'</td>
<td>4.68m</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>5 june 2010</td>
<td>'knotting hills'</td>
<td>'stick 'em up'</td>
<td>'lock and key'</td>
<td>3.44m</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>viewers</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4.68m</td>
</tr>
</tbody>
</table> | select viewers where airdate = '29 may 2010' <table_name> : table | | episode | airdate | game 1 | game 2 | game 3 | viewers |
|---:|----------:|:--------------|:--------------------|:---------------------|:---------------|:------------|
| 0 | 1 | 17 april 2010 | 'twin peaks' | 'a walk in the dark' | 'lock and key' | 4.52m |
| 1 | 2 | 24 april 2010 | 'caught in the net' | 'stick 'em up' | 'power trip' | 4.41m |
| 2 | 3 | 1 may 2010 | 'knotting hills' | 'it's a wrap!' | 'lock and key' | 4.31m |
| 3 | 4 | 8 may 2010 | 'caught in the net' | 'a walk in the dark' | 'power trip' | 4.44m |
| 4 | 5 | 15 may 2010 | 'twin peaks' | 'it's a wrap!' | 'lock and key' | 4.46m |
| 5 | 6 | 22 may 2010 | 'knotting hills' | 'stick 'em up' | 'power trip' | under 2.61m |
| 6 | 7 | 29 may 2010 | 'caught in the net' | 'a walk in the dark' | 'lock and key' | 4.68m |
| 7 | 8 | 5 june 2010 | 'knotting hills' | 'stick 'em up' | 'lock and key' | 3.44m | | | | viewers |
|---:|:----------|
| 0 | 4.68m | | [
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select count ( strike tone (st-1/16) ) where name > 868 col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-suscipe pia laudum praecamina. (o dearest nourishing mother of christ, raise praise for our pious hymn) gegossen 1535 + zerstoert 1656 + erneuert 1659 + zerborsten 1818 + umgegossen 1881 + zerschlagen 1942 + wiederum erneuert 1958 (cast 1535 + destroyed 1656 + restored 1659 + destroyed 1818 + recast 1881 + obliterated 1942 + restored again 1958) row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis ecclesia aquen: sanctissimo imperatori patrono ac fundatori suo carolo virtute, merito, imperio vere magno debet et defert mihi nomen dedit anno 1 6 5 9 (the honour and devotion, which the royal church of aachen owes and renders to its most sacred emperor, patron and benefactor: charles, truly great in virtue, merit and rule, gave this name to me in the year 1659) row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine ponor tertia, sed cum quinta tono appellata johannes(i am placed fourth in order among the friends born with me, but i call to john with the fifth tone) row 4 : 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. in ludo haud in agro florens nos curia fecit sed longo sub argo fudit nos ipse decano. an o. 1 6 5 6 (john the baptist pray for us. flourishing in play not in toil, he made us with care, but poured us under a vigilant supervisor. 1656) row 5 : 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis anno 1 6 5 9 (saint leopardus pray for us. made 1659.) row 6 : 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis anno 1 6 5 9 (st stephen pray for us. made 1659.) row 7 : 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 6 5 9 (st. peter pray for us. made 1659.) row 8 : 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate ora pro nobis (st simon, just and devout, pray for us) | col : count ( "strike tone (st-1/16" ) row 1 : 8 | select count ( strike tone (st-1/16) ) where name > 868 <table_name> : table \begin{tabular}{lllllll}
\toprule
& # & name & strike tone (st-1/16) & weight (kg) & diameter (mm) & inscription \\
\midrule
0 & 1 & maria & g0 +8 & 6045 & 2075 & + o mater alma christi carissima-suscipe pia laudum praecamina. (o dearest nourishing mother of christ, raise praise for our pious hymn) gegossen 1535 + zerstoert 1656 + erneuert 1659 + zerborsten 1818 + umgegossen 1881 + zerschlagen 1942 + wiederum erneuert 1958 (cast 1535 + destroyed 1656 + restored 1659 + destroyed 1818 + recast 1881 + obliterated 1942 + restored again 1958) \\
1 & 2 & carolus & h0 +7 & 2900 & 1628 & honor et cultus, quem regalis ecclesia aquen: sanctissimo imperatori patrono ac fundatori suo carolo virtute, merito, imperio vere magno debet et defert mihi nomen dedit anno 1 6 5 9 (the honour and devotion, which the royal church of aachen owes and renders to its most sacred emperor, patron and benefactor: charles, truly great in virtue, merit and rule, gave this name to me in the year 1659) \\
2 & 3 & johannes evangelista & d1 +8 & 1400 & 1367 & nascentes inter socias mecum ordine ponor tertia, sed cum quinta tono appellata johannes(i am placed fourth in order among the friends born with me, but i call to john with the fifth tone) \\
3 & 4 & johannes baptista & e1 +7 & 1225 & 1217 & johannes baptista ora pro nobis. in ludo haud in agro florens nos curia fecit sed longo sub argo fudit nos ipse decano. an o. 1 6 5 6 (john the baptist pray for us. flourishing in play not in toil, he made us with care, but poured us under a vigilant supervisor. 1656) \\
4 & 5 & leopardus & fis1 +3 & 850 & 1078 & sancte leoparde ora pro nobis anno 1 6 5 9 (saint leopardus pray for us. made 1659.) \\
5 & 6 & stephanus & g1 +8 & 715 & 1027 & sancte stephane ora pro nobis anno 1 6 5 9 (st stephen pray for us. made 1659.) \\
6 & 7 & petrus & a1 +1 & 425 & 894 & sancte petre ora pro nobis anno 1 6 5 9 (st. peter pray for us. made 1659.) \\
7 & 8 & simeon & h1 +8 & 290 & 793 & sancte simeon juste et timorate ora pro nobis (st simon, just and devout, pray for us) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "strike tone (st-1/16" ) \\
\midrule
0 & 8 \\
\bottomrule
\end{tabular}
| select count ( strike tone (st-1/16) ) where name > 868 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>name</th>
<th>strike tone (st-1/16)</th>
<th>weight (kg)</th>
<th>diameter (mm)</th>
<th>inscription</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>maria</td>
<td>g0 +8</td>
<td>6045</td>
<td>2075</td>
<td>+ o mater alma christi carissima-suscipe pia laudum praecamina. (o dearest nourishing mother of christ, raise praise for our pious hymn) gegossen 1535 + zerstoert 1656 + erneuert 1659 + zerborsten 1818 + umgegossen 1881 + zerschlagen 1942 + wiederum erneuert 1958 (cast 1535 + destroyed 1656 + restored 1659 + destroyed 1818 + recast 1881 + obliterated 1942 + restored again 1958)</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>carolus</td>
<td>h0 +7</td>
<td>2900</td>
<td>1628</td>
<td>honor et cultus, quem regalis ecclesia aquen: sanctissimo imperatori patrono ac fundatori suo carolo virtute, merito, imperio vere magno debet et defert mihi nomen dedit anno 1 6 5 9 (the honour and devotion, which the royal church of aachen owes and renders to its most sacred emperor, patron and benefactor: charles, truly great in virtue, merit and rule, gave this name to me in the year 1659)</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>johannes evangelista</td>
<td>d1 +8</td>
<td>1400</td>
<td>1367</td>
<td>nascentes inter socias mecum ordine ponor tertia, sed cum quinta tono appellata johannes(i am placed fourth in order among the friends born with me, but i call to john with the fifth tone)</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>johannes baptista</td>
<td>e1 +7</td>
<td>1225</td>
<td>1217</td>
<td>johannes baptista ora pro nobis. in ludo haud in agro florens nos curia fecit sed longo sub argo fudit nos ipse decano. an o. 1 6 5 6 (john the baptist pray for us. flourishing in play not in toil, he made us with care, but poured us under a vigilant supervisor. 1656)</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>leopardus</td>
<td>fis1 +3</td>
<td>850</td>
<td>1078</td>
<td>sancte leoparde ora pro nobis anno 1 6 5 9 (saint leopardus pray for us. made 1659.)</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>stephanus</td>
<td>g1 +8</td>
<td>715</td>
<td>1027</td>
<td>sancte stephane ora pro nobis anno 1 6 5 9 (st stephen pray for us. made 1659.)</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>petrus</td>
<td>a1 +1</td>
<td>425</td>
<td>894</td>
<td>sancte petre ora pro nobis anno 1 6 5 9 (st. peter pray for us. made 1659.)</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>simeon</td>
<td>h1 +8</td>
<td>290</td>
<td>793</td>
<td>sancte simeon juste et timorate ora pro nobis (st simon, just and devout, pray for us)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "strike tone (st-1/16" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>8</td>
</tr>
</tbody>
</table> | select count ( strike tone (st-1/16) ) where name > 868 <table_name> : table | | # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription |
|---:|----:|:---------------------|:------------------------|--------------:|----------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-suscipe pia laudum praecamina. (o dearest nourishing mother of christ, raise praise for our pious hymn) gegossen 1535 + zerstoert 1656 + erneuert 1659 + zerborsten 1818 + umgegossen 1881 + zerschlagen 1942 + wiederum erneuert 1958 (cast 1535 + destroyed 1656 + restored 1659 + destroyed 1818 + recast 1881 + obliterated 1942 + restored again 1958) |
| 1 | 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis ecclesia aquen: sanctissimo imperatori patrono ac fundatori suo carolo virtute, merito, imperio vere magno debet et defert mihi nomen dedit anno 1 6 5 9 (the honour and devotion, which the royal church of aachen owes and renders to its most sacred emperor, patron and benefactor: charles, truly great in virtue, merit and rule, gave this name to me in the year 1659) |
| 2 | 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine ponor tertia, sed cum quinta tono appellata johannes(i am placed fourth in order among the friends born with me, but i call to john with the fifth tone) |
| 3 | 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. in ludo haud in agro florens nos curia fecit sed longo sub argo fudit nos ipse decano. an o. 1 6 5 6 (john the baptist pray for us. flourishing in play not in toil, he made us with care, but poured us under a vigilant supervisor. 1656) |
| 4 | 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis anno 1 6 5 9 (saint leopardus pray for us. made 1659.) |
| 5 | 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis anno 1 6 5 9 (st stephen pray for us. made 1659.) |
| 6 | 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 6 5 9 (st. peter pray for us. made 1659.) |
| 7 | 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate ora pro nobis (st simon, just and devout, pray for us) | | | | count ( "strike tone (st-1/16" ) |
|---:|-----------------------------------:|
| 0 | 8 | | [
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select count ( * ) where # of constituency votes = 194389 col : election year | # of constituency votes | % of constituency votes | +/- -1 | # of party list votes | % of party list votes | +/- -2 | # of overall seats won row 1 : 1965 | 587216 | 1.8 | 1.8 | 664193 | 2.0 | 2.0 | 0 / 518 row 2 : 1969 | 1189375 | 3.6 | 1.8 | 1422010 | 4.3 | 2.3 | 0 / 518 row 3 : 1972 | 194389 | 0.5 | 3.1 | 207465 | 0.6 | 3.7 | 0 / 518 row 4 : 1976 | 136.023 | 0.4 | 0.1 | 122661 | 0.3 | 0.3 | 0 / 518 row 5 : 1980 | none | none | none | 68096 | 0.2 | 0.1 | 0 / 497 row 6 : 1983 | 57112 | 0.1 | 0.3 | 91095 | 0.2 | 0.0 | 0 / 498 row 7 : 1987 | 182880 | 0.5 | 0.4 | 227054 | 0.6 | 0.4 | 0 / 497 row 8 : 1990 | 190105 | 0.4 | 0.1 | 145776 | 0.3 | 0.3 | 0 / 662 row 9 : 1998 | 45043 | 0.1 | 0.3 | 126571 | 0.3 | 0.0 | 0 / 669 row 10 : 2002 | 103209 | 0.1 | 0.1 | 215232 | 0.4 | 0.1 | 0 / 603 row 11 : 2005 | 857.777 | 1.8 | 1.6 | 748568 | 1.6 | 1.2 | 0 / 614 row 12 : 2009 | 768442 | 1.8 | 0 | 635525 | 1.5 | 0.1 | 0 / 620 row 13 : 2013 | 634842 | 1.5 | 0.3 | 560660 | 1.3 | 0.2 | 0 / 630 | col : count ( "*" ) row 1 : 1 | select count ( * ) where # of constituency votes = 194389 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& election year & # of constituency votes & % of constituency votes & +/- -1 & # of party list votes & % of party list votes & +/- -2 & # of overall seats won \\
\midrule
0 & 1965 & 587216 & 1.8 & 1.8 & 664193 & 2.0 & 2.0 & 0 / 518 \\
1 & 1969 & 1189375 & 3.6 & 1.8 & 1422010 & 4.3 & 2.3 & 0 / 518 \\
2 & 1972 & 194389 & 0.5 & 3.1 & 207465 & 0.6 & 3.7 & 0 / 518 \\
3 & 1976 & 136.023 & 0.4 & 0.1 & 122661 & 0.3 & 0.3 & 0 / 518 \\
4 & 1980 & none & none & none & 68096 & 0.2 & 0.1 & 0 / 497 \\
5 & 1983 & 57112 & 0.1 & 0.3 & 91095 & 0.2 & 0.0 & 0 / 498 \\
6 & 1987 & 182880 & 0.5 & 0.4 & 227054 & 0.6 & 0.4 & 0 / 497 \\
7 & 1990 & 190105 & 0.4 & 0.1 & 145776 & 0.3 & 0.3 & 0 / 662 \\
8 & 1998 & 45043 & 0.1 & 0.3 & 126571 & 0.3 & 0.0 & 0 / 669 \\
9 & 2002 & 103209 & 0.1 & 0.1 & 215232 & 0.4 & 0.1 & 0 / 603 \\
10 & 2005 & 857.777 & 1.8 & 1.6 & 748568 & 1.6 & 1.2 & 0 / 614 \\
11 & 2009 & 768442 & 1.8 & 0 & 635525 & 1.5 & 0.1 & 0 / 620 \\
12 & 2013 & 634842 & 1.5 & 0.3 & 560660 & 1.3 & 0.2 & 0 / 630 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where # of constituency votes = 194389 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>election year</th>
<th># of constituency votes</th>
<th>% of constituency votes</th>
<th>+/- -1</th>
<th># of party list votes</th>
<th>% of party list votes</th>
<th>+/- -2</th>
<th># of overall seats won</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1965</td>
<td>587216</td>
<td>1.8</td>
<td>1.8</td>
<td>664193</td>
<td>2.0</td>
<td>2.0</td>
<td>0 / 518</td>
</tr>
<tr>
<th>1</th>
<td>1969</td>
<td>1189375</td>
<td>3.6</td>
<td>1.8</td>
<td>1422010</td>
<td>4.3</td>
<td>2.3</td>
<td>0 / 518</td>
</tr>
<tr>
<th>2</th>
<td>1972</td>
<td>194389</td>
<td>0.5</td>
<td>3.1</td>
<td>207465</td>
<td>0.6</td>
<td>3.7</td>
<td>0 / 518</td>
</tr>
<tr>
<th>3</th>
<td>1976</td>
<td>136.023</td>
<td>0.4</td>
<td>0.1</td>
<td>122661</td>
<td>0.3</td>
<td>0.3</td>
<td>0 / 518</td>
</tr>
<tr>
<th>4</th>
<td>1980</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>68096</td>
<td>0.2</td>
<td>0.1</td>
<td>0 / 497</td>
</tr>
<tr>
<th>5</th>
<td>1983</td>
<td>57112</td>
<td>0.1</td>
<td>0.3</td>
<td>91095</td>
<td>0.2</td>
<td>0.0</td>
<td>0 / 498</td>
</tr>
<tr>
<th>6</th>
<td>1987</td>
<td>182880</td>
<td>0.5</td>
<td>0.4</td>
<td>227054</td>
<td>0.6</td>
<td>0.4</td>
<td>0 / 497</td>
</tr>
<tr>
<th>7</th>
<td>1990</td>
<td>190105</td>
<td>0.4</td>
<td>0.1</td>
<td>145776</td>
<td>0.3</td>
<td>0.3</td>
<td>0 / 662</td>
</tr>
<tr>
<th>8</th>
<td>1998</td>
<td>45043</td>
<td>0.1</td>
<td>0.3</td>
<td>126571</td>
<td>0.3</td>
<td>0.0</td>
<td>0 / 669</td>
</tr>
<tr>
<th>9</th>
<td>2002</td>
<td>103209</td>
<td>0.1</td>
<td>0.1</td>
<td>215232</td>
<td>0.4</td>
<td>0.1</td>
<td>0 / 603</td>
</tr>
<tr>
<th>10</th>
<td>2005</td>
<td>857.777</td>
<td>1.8</td>
<td>1.6</td>
<td>748568</td>
<td>1.6</td>
<td>1.2</td>
<td>0 / 614</td>
</tr>
<tr>
<th>11</th>
<td>2009</td>
<td>768442</td>
<td>1.8</td>
<td>0</td>
<td>635525</td>
<td>1.5</td>
<td>0.1</td>
<td>0 / 620</td>
</tr>
<tr>
<th>12</th>
<td>2013</td>
<td>634842</td>
<td>1.5</td>
<td>0.3</td>
<td>560660</td>
<td>1.3</td>
<td>0.2</td>
<td>0 / 630</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where # of constituency votes = 194389 <table_name> : table | | election year | # of constituency votes | % of constituency votes | +/- -1 | # of party list votes | % of party list votes | +/- -2 | # of overall seats won |
|---:|----------------:|:--------------------------|:--------------------------|:---------|------------------------:|------------------------:|---------:|:-------------------------|
| 0 | 1965 | 587216 | 1.8 | 1.8 | 664193 | 2 | 2 | 0 / 518 |
| 1 | 1969 | 1189375 | 3.6 | 1.8 | 1422010 | 4.3 | 2.3 | 0 / 518 |
| 2 | 1972 | 194389 | 0.5 | 3.1 | 207465 | 0.6 | 3.7 | 0 / 518 |
| 3 | 1976 | 136.023 | 0.4 | 0.1 | 122661 | 0.3 | 0.3 | 0 / 518 |
| 4 | 1980 | none | none | none | 68096 | 0.2 | 0.1 | 0 / 497 |
| 5 | 1983 | 57112 | 0.1 | 0.3 | 91095 | 0.2 | 0 | 0 / 498 |
| 6 | 1987 | 182880 | 0.5 | 0.4 | 227054 | 0.6 | 0.4 | 0 / 497 |
| 7 | 1990 | 190105 | 0.4 | 0.1 | 145776 | 0.3 | 0.3 | 0 / 662 |
| 8 | 1998 | 45043 | 0.1 | 0.3 | 126571 | 0.3 | 0 | 0 / 669 |
| 9 | 2002 | 103209 | 0.1 | 0.1 | 215232 | 0.4 | 0.1 | 0 / 603 |
| 10 | 2005 | 857.777 | 1.8 | 1.6 | 748568 | 1.6 | 1.2 | 0 / 614 |
| 11 | 2009 | 768442 | 1.8 | 0 | 635525 | 1.5 | 0.1 | 0 / 620 |
| 12 | 2013 | 634842 | 1.5 | 0.3 | 560660 | 1.3 | 0.2 | 0 / 630 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select flag bearer where season = 'summer' col : # | event year | season | flag bearer row 1 : 10 | 2012 | summer | nino salukvadze row 2 : 9 | 2010 | winter | iason abramashvili row 3 : 8 | 2008 | summer | ramaz nozadze row 4 : 7 | 2006 | winter | vakhtang murvanidze row 5 : 6 | 2004 | summer | zurab zviadauri row 6 : 5 | 2002 | winter | sofia akhmeteli row 7 : 4 | 2000 | summer | giorgi asanidze row 8 : 3 | 1998 | winter | sofia akhmeteli row 9 : 2 | 1996 | summer | giorgi k'andelak'i row 10 : 1 | 1994 | winter | zurab dzhidzhishvili | col : flag bearer row 1 : nino salukvadze row 2 : ramaz nozadze row 3 : zurab zviadauri row 4 : giorgi asanidze row 5 : giorgi k'andelak'i | select flag bearer where season = 'summer' <table_name> : table \begin{tabular}{lllll}
\toprule
& # & event year & season & flag bearer \\
\midrule
0 & 10 & 2012 & summer & nino salukvadze \\
1 & 9 & 2010 & winter & iason abramashvili \\
2 & 8 & 2008 & summer & ramaz nozadze \\
3 & 7 & 2006 & winter & vakhtang murvanidze \\
4 & 6 & 2004 & summer & zurab zviadauri \\
5 & 5 & 2002 & winter & sofia akhmeteli \\
6 & 4 & 2000 & summer & giorgi asanidze \\
7 & 3 & 1998 & winter & sofia akhmeteli \\
8 & 2 & 1996 & summer & giorgi k'andelak'i \\
9 & 1 & 1994 & winter & zurab dzhidzhishvili \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& flag bearer \\
\midrule
0 & nino salukvadze \\
1 & ramaz nozadze \\
2 & zurab zviadauri \\
3 & giorgi asanidze \\
4 & giorgi k'andelak'i \\
\bottomrule
\end{tabular}
| select flag bearer where season = 'summer' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>event year</th>
<th>season</th>
<th>flag bearer</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10</td>
<td>2012</td>
<td>summer</td>
<td>nino salukvadze</td>
</tr>
<tr>
<th>1</th>
<td>9</td>
<td>2010</td>
<td>winter</td>
<td>iason abramashvili</td>
</tr>
<tr>
<th>2</th>
<td>8</td>
<td>2008</td>
<td>summer</td>
<td>ramaz nozadze</td>
</tr>
<tr>
<th>3</th>
<td>7</td>
<td>2006</td>
<td>winter</td>
<td>vakhtang murvanidze</td>
</tr>
<tr>
<th>4</th>
<td>6</td>
<td>2004</td>
<td>summer</td>
<td>zurab zviadauri</td>
</tr>
<tr>
<th>5</th>
<td>5</td>
<td>2002</td>
<td>winter</td>
<td>sofia akhmeteli</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>2000</td>
<td>summer</td>
<td>giorgi asanidze</td>
</tr>
<tr>
<th>7</th>
<td>3</td>
<td>1998</td>
<td>winter</td>
<td>sofia akhmeteli</td>
</tr>
<tr>
<th>8</th>
<td>2</td>
<td>1996</td>
<td>summer</td>
<td>giorgi k'andelak'i</td>
</tr>
<tr>
<th>9</th>
<td>1</td>
<td>1994</td>
<td>winter</td>
<td>zurab dzhidzhishvili</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>flag bearer</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>nino salukvadze</td>
</tr>
<tr>
<th>1</th>
<td>ramaz nozadze</td>
</tr>
<tr>
<th>2</th>
<td>zurab zviadauri</td>
</tr>
<tr>
<th>3</th>
<td>giorgi asanidze</td>
</tr>
<tr>
<th>4</th>
<td>giorgi k'andelak'i</td>
</tr>
</tbody>
</table> | select flag bearer where season = 'summer' <table_name> : table | | # | event year | season | flag bearer |
|---:|----:|-------------:|:---------|:---------------------|
| 0 | 10 | 2012 | summer | nino salukvadze |
| 1 | 9 | 2010 | winter | iason abramashvili |
| 2 | 8 | 2008 | summer | ramaz nozadze |
| 3 | 7 | 2006 | winter | vakhtang murvanidze |
| 4 | 6 | 2004 | summer | zurab zviadauri |
| 5 | 5 | 2002 | winter | sofia akhmeteli |
| 6 | 4 | 2000 | summer | giorgi asanidze |
| 7 | 3 | 1998 | winter | sofia akhmeteli |
| 8 | 2 | 1996 | summer | giorgi k'andelak'i |
| 9 | 1 | 1994 | winter | zurab dzhidzhishvili | | | | flag bearer |
|---:|:-------------------|
| 0 | nino salukvadze |
| 1 | ramaz nozadze |
| 2 | zurab zviadauri |
| 3 | giorgi asanidze |
| 4 | giorgi k'andelak'i | | [
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] |
select date where ship = 'ss aguila' col : date | ship | nationality | tonnage | fate row 1 : 1941-08-19 00:00:00 | ss aguila | united kingdom | 3255 | sunk row 2 : 1941-11-27 00:00:00 | hmas parramatta | royal australian navy | 1060 | sunk row 3 : 1941-12-23 00:00:00 | ss shuntien | united kingdom | 3059 | sunk row 4 : 1941-12-26 00:00:00 | ss warszawa | poland | 2487 | sunk row 5 : 1942-06-10 00:00:00 | mv athene | norway | 4681 | sunk row 6 : 1942-06-10 00:00:00 | ss brambleleaf | united kingdom | 5917 | damaged | col : date row 1 : 1941-08-19 00:00:00 | select date where ship = 'ss aguila' <table_name> : table \begin{tabular}{llllll}
\toprule
& date & ship & nationality & tonnage & fate \\
\midrule
0 & 1941-08-19 00:00:00 & ss aguila & united kingdom & 3255 & sunk \\
1 & 1941-11-27 00:00:00 & hmas parramatta & royal australian navy & 1060 & sunk \\
2 & 1941-12-23 00:00:00 & ss shuntien & united kingdom & 3059 & sunk \\
3 & 1941-12-26 00:00:00 & ss warszawa & poland & 2487 & sunk \\
4 & 1942-06-10 00:00:00 & mv athene & norway & 4681 & sunk \\
5 & 1942-06-10 00:00:00 & ss brambleleaf & united kingdom & 5917 & damaged \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& date \\
\midrule
0 & 1941-08-19 00:00:00 \\
\bottomrule
\end{tabular}
| select date where ship = 'ss aguila' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>ship</th>
<th>nationality</th>
<th>tonnage</th>
<th>fate</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1941-08-19 00:00:00</td>
<td>ss aguila</td>
<td>united kingdom</td>
<td>3255</td>
<td>sunk</td>
</tr>
<tr>
<th>1</th>
<td>1941-11-27 00:00:00</td>
<td>hmas parramatta</td>
<td>royal australian navy</td>
<td>1060</td>
<td>sunk</td>
</tr>
<tr>
<th>2</th>
<td>1941-12-23 00:00:00</td>
<td>ss shuntien</td>
<td>united kingdom</td>
<td>3059</td>
<td>sunk</td>
</tr>
<tr>
<th>3</th>
<td>1941-12-26 00:00:00</td>
<td>ss warszawa</td>
<td>poland</td>
<td>2487</td>
<td>sunk</td>
</tr>
<tr>
<th>4</th>
<td>1942-06-10 00:00:00</td>
<td>mv athene</td>
<td>norway</td>
<td>4681</td>
<td>sunk</td>
</tr>
<tr>
<th>5</th>
<td>1942-06-10 00:00:00</td>
<td>ss brambleleaf</td>
<td>united kingdom</td>
<td>5917</td>
<td>damaged</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1941-08-19 00:00:00</td>
</tr>
</tbody>
</table> | select date where ship = 'ss aguila' <table_name> : table | | date | ship | nationality | tonnage | fate |
|---:|:--------------------|:----------------|:----------------------|----------:|:--------|
| 0 | 1941-08-19 00:00:00 | ss aguila | united kingdom | 3255 | sunk |
| 1 | 1941-11-27 00:00:00 | hmas parramatta | royal australian navy | 1060 | sunk |
| 2 | 1941-12-23 00:00:00 | ss shuntien | united kingdom | 3059 | sunk |
| 3 | 1941-12-26 00:00:00 | ss warszawa | poland | 2487 | sunk |
| 4 | 1942-06-10 00:00:00 | mv athene | norway | 4681 | sunk |
| 5 | 1942-06-10 00:00:00 | ss brambleleaf | united kingdom | 5917 | damaged | | | | date |
|---:|:--------------------|
| 0 | 1941-08-19 00:00:00 | | [
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select # where to par = 'e' col : # | player | country | score | to par | money ($) row 1 : 1 | shirley englehorn | united states | 70-70-75-70=285 | -7 | 4,500 row 2 : 2 | kathy whitworth | united states | 69-71-73-72=285 | -7 | 3,410 row 3 : 3 | sandra palmer | united states | 73-72-73-70=288 | -4 | 2,600 row 4 : 4 | murle breer | united states | 75-71-70-74=290 | -2 | 2,150 row 5 : 5 | sharon miller | united states | 74-74-72-71=291 | -1 | 1,800 row 6 : t6 | joanne carner | united states | 71-76-70-75=292 | e | 1,400 row 7 : t6 | sandra haynie | united states | 73-72-72-75=292 | e | 1,400 row 8 : t8 | gerda boykin | west germany | 73-73-73-74=293 | +1 | 1,050 row 9 : t8 | sharron moran | united states | 73-71-75-74=293 | +1 | 1,050 row 10 : t8 | marilynn smith | united states | 74-69-73-77=293 | +1 | 1,050 | col : # row 1 : t6 row 2 : t6 | select # where to par = 'e' <table_name> : table \begin{tabular}{lllllll}
\toprule
& # & player & country & score & to par & money ($) \\
\midrule
0 & 1 & shirley englehorn & united states & 70-70-75-70=285 & -7 & 4,500 \\
1 & 2 & kathy whitworth & united states & 69-71-73-72=285 & -7 & 3,410 \\
2 & 3 & sandra palmer & united states & 73-72-73-70=288 & -4 & 2,600 \\
3 & 4 & murle breer & united states & 75-71-70-74=290 & -2 & 2,150 \\
4 & 5 & sharon miller & united states & 74-74-72-71=291 & -1 & 1,800 \\
5 & t6 & joanne carner & united states & 71-76-70-75=292 & e & 1,400 \\
6 & t6 & sandra haynie & united states & 73-72-72-75=292 & e & 1,400 \\
7 & t8 & gerda boykin & west germany & 73-73-73-74=293 & +1 & 1,050 \\
8 & t8 & sharron moran & united states & 73-71-75-74=293 & +1 & 1,050 \\
9 & t8 & marilynn smith & united states & 74-69-73-77=293 & +1 & 1,050 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& # \\
\midrule
0 & t6 \\
1 & t6 \\
\bottomrule
\end{tabular}
| select # where to par = 'e' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>player</th>
<th>country</th>
<th>score</th>
<th>to par</th>
<th>money ($)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>shirley englehorn</td>
<td>united states</td>
<td>70-70-75-70=285</td>
<td>-7</td>
<td>4,500</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>kathy whitworth</td>
<td>united states</td>
<td>69-71-73-72=285</td>
<td>-7</td>
<td>3,410</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>sandra palmer</td>
<td>united states</td>
<td>73-72-73-70=288</td>
<td>-4</td>
<td>2,600</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>murle breer</td>
<td>united states</td>
<td>75-71-70-74=290</td>
<td>-2</td>
<td>2,150</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>sharon miller</td>
<td>united states</td>
<td>74-74-72-71=291</td>
<td>-1</td>
<td>1,800</td>
</tr>
<tr>
<th>5</th>
<td>t6</td>
<td>joanne carner</td>
<td>united states</td>
<td>71-76-70-75=292</td>
<td>e</td>
<td>1,400</td>
</tr>
<tr>
<th>6</th>
<td>t6</td>
<td>sandra haynie</td>
<td>united states</td>
<td>73-72-72-75=292</td>
<td>e</td>
<td>1,400</td>
</tr>
<tr>
<th>7</th>
<td>t8</td>
<td>gerda boykin</td>
<td>west germany</td>
<td>73-73-73-74=293</td>
<td>+1</td>
<td>1,050</td>
</tr>
<tr>
<th>8</th>
<td>t8</td>
<td>sharron moran</td>
<td>united states</td>
<td>73-71-75-74=293</td>
<td>+1</td>
<td>1,050</td>
</tr>
<tr>
<th>9</th>
<td>t8</td>
<td>marilynn smith</td>
<td>united states</td>
<td>74-69-73-77=293</td>
<td>+1</td>
<td>1,050</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>t6</td>
</tr>
<tr>
<th>1</th>
<td>t6</td>
</tr>
</tbody>
</table> | select # where to par = 'e' <table_name> : table | | # | player | country | score | to par | money ($) |
|---:|:----|:------------------|:--------------|:----------------|:---------|:------------|
| 0 | 1 | shirley englehorn | united states | 70-70-75-70=285 | -7 | 4,500 |
| 1 | 2 | kathy whitworth | united states | 69-71-73-72=285 | -7 | 3,410 |
| 2 | 3 | sandra palmer | united states | 73-72-73-70=288 | -4 | 2,600 |
| 3 | 4 | murle breer | united states | 75-71-70-74=290 | -2 | 2,150 |
| 4 | 5 | sharon miller | united states | 74-74-72-71=291 | -1 | 1,800 |
| 5 | t6 | joanne carner | united states | 71-76-70-75=292 | e | 1,400 |
| 6 | t6 | sandra haynie | united states | 73-72-72-75=292 | e | 1,400 |
| 7 | t8 | gerda boykin | west germany | 73-73-73-74=293 | +1 | 1,050 |
| 8 | t8 | sharron moran | united states | 73-71-75-74=293 | +1 | 1,050 |
| 9 | t8 | marilynn smith | united states | 74-69-73-77=293 | +1 | 1,050 | | | | # |
|---:|:----|
| 0 | t6 |
| 1 | t6 | | [
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select owner where programming type > 753 col : network name | flagship | programming type | owner | affiliates row 1 : canal de las estrellas | xew 2 | soap operas, retro movies and sports | televisa | 1 row 2 : canal 5 | xhgc 5 | cartoons, movies, and series | televisa | 1 row 3 : azteca 7 | xhimt 7 | sports, series, and movies | tv azteca | 1 row 4 : galavision | xeq 9 | retro programming and sports | televisa | 1 row 5 : once tv | xeipn 11 | educational and cultural | national polytechnic institute | 1 row 6 : azteca 13 | xhdf 13 | news, soap operas, and sports | tv azteca | 1 row 7 : independent | none | varies | independent | 2 | col : owner row 1 : televisa row 2 : televisa row 3 : tv azteca row 4 : televisa row 5 : national polytechnic institute row 6 : tv azteca row 7 : independent | select owner where programming type > 753 <table_name> : table \begin{tabular}{llllll}
\toprule
& network name & flagship & programming type & owner & affiliates \\
\midrule
0 & canal de las estrellas & xew 2 & soap operas, retro movies and sports & televisa & 1 \\
1 & canal 5 & xhgc 5 & cartoons, movies, and series & televisa & 1 \\
2 & azteca 7 & xhimt 7 & sports, series, and movies & tv azteca & 1 \\
3 & galavision & xeq 9 & retro programming and sports & televisa & 1 \\
4 & once tv & xeipn 11 & educational and cultural & national polytechnic institute & 1 \\
5 & azteca 13 & xhdf 13 & news, soap operas, and sports & tv azteca & 1 \\
6 & independent & none & varies & independent & 2 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& owner \\
\midrule
0 & televisa \\
1 & televisa \\
2 & tv azteca \\
3 & televisa \\
4 & national polytechnic institute \\
5 & tv azteca \\
6 & independent \\
\bottomrule
\end{tabular}
| select owner where programming type > 753 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>network name</th>
<th>flagship</th>
<th>programming type</th>
<th>owner</th>
<th>affiliates</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>canal de las estrellas</td>
<td>xew 2</td>
<td>soap operas, retro movies and sports</td>
<td>televisa</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>canal 5</td>
<td>xhgc 5</td>
<td>cartoons, movies, and series</td>
<td>televisa</td>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>azteca 7</td>
<td>xhimt 7</td>
<td>sports, series, and movies</td>
<td>tv azteca</td>
<td>1</td>
</tr>
<tr>
<th>3</th>
<td>galavision</td>
<td>xeq 9</td>
<td>retro programming and sports</td>
<td>televisa</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>once tv</td>
<td>xeipn 11</td>
<td>educational and cultural</td>
<td>national polytechnic institute</td>
<td>1</td>
</tr>
<tr>
<th>5</th>
<td>azteca 13</td>
<td>xhdf 13</td>
<td>news, soap operas, and sports</td>
<td>tv azteca</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>independent</td>
<td>none</td>
<td>varies</td>
<td>independent</td>
<td>2</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>owner</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>televisa</td>
</tr>
<tr>
<th>1</th>
<td>televisa</td>
</tr>
<tr>
<th>2</th>
<td>tv azteca</td>
</tr>
<tr>
<th>3</th>
<td>televisa</td>
</tr>
<tr>
<th>4</th>
<td>national polytechnic institute</td>
</tr>
<tr>
<th>5</th>
<td>tv azteca</td>
</tr>
<tr>
<th>6</th>
<td>independent</td>
</tr>
</tbody>
</table> | select owner where programming type > 753 <table_name> : table | | network name | flagship | programming type | owner | affiliates |
|---:|:-----------------------|:-----------|:-------------------------------------|:-------------------------------|-------------:|
| 0 | canal de las estrellas | xew 2 | soap operas, retro movies and sports | televisa | 1 |
| 1 | canal 5 | xhgc 5 | cartoons, movies, and series | televisa | 1 |
| 2 | azteca 7 | xhimt 7 | sports, series, and movies | tv azteca | 1 |
| 3 | galavision | xeq 9 | retro programming and sports | televisa | 1 |
| 4 | once tv | xeipn 11 | educational and cultural | national polytechnic institute | 1 |
| 5 | azteca 13 | xhdf 13 | news, soap operas, and sports | tv azteca | 1 |
| 6 | independent | none | varies | independent | 2 | | | | owner |
|---:|:-------------------------------|
| 0 | televisa |
| 1 | televisa |
| 2 | tv azteca |
| 3 | televisa |
| 4 | national polytechnic institute |
| 5 | tv azteca |
| 6 | independent | | [
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select count ( player ) where player = 'denis ovens' col : player | played | legs won | legs lost | lwat | 100+ | 140+ | 180s | high checkout | 3-dart average row 1 : phil taylor | 5 | 74 | 20 | 34 | 130 | 77 | 44 | 144 | 105.73 row 2 : raymond van barneveld | 3 | 35 | 30 | 9 | 85 | 43 | 17 | 126 | 98.1 row 3 : gary anderson | 2 | 17 | 19 | 4 | 42 | 28 | 10 | 151 | 97.98 row 4 : kevin painter | 2 | 13 | 16 | 5 | 32 | 18 | 8 | 130 | 96.71 row 5 : mervyn king | 4 | 45 | 38 | 16 | 112 | 66 | 18 | 147 | 96.3 row 6 : co stompe | 1 | 7 | 10 | 2 | 26 | 9 | 4 | 127 | 95.84 row 7 : james wade | 3 | 33 | 26 | 10 | 75 | 47 | 12 | 153 | 95.73 row 8 : andy smith | 1 | 5 | 10 | 1 | 19 | 15 | 1 | 112 | 95.29 row 9 : terry jenkins | 5 | 61 | 58 | 20 | 157 | 80 | 26 | 131 | 94.08 row 10 : adrian lewis | 3 | 26 | 28 | 13 | 63 | 40 | 13 | 156 | 93.69 row 11 : ronnie baxter | 4 | 54 | 49 | 18 | 142 | 49 | 19 | 132 | 93.35 row 12 : alan tabern | 2 | 24 | 21 | 8 | 66 | 32 | 7 | 157 | 92.68 row 13 : steve beaton | 2 | 18 | 20 | 8 | 52 | 23 | 5 | 110 | 92.58 row 14 : vincent van der voort | 3 | 29 | 28 | 9 | 71 | 42 | 13 | 131 | 92.57 row 15 : jelle klaasen | 1 | 8 | 10 | 2 | 24 | 4 | 4 | 71 | 92.19 row 16 : mark walsh | 2 | 21 | 18 | 9 | 49 | 26 | 9 | 121 | 92.02 row 17 : wes newton | 1 | 3 | 10 | 1 | 16 | 3 | 5 | 96 | 91.92 row 18 : michael van gerwen | 1 | 3 | 10 | 0 | 14 | 6 | 1 | 126 | 91.26 row 19 : andy hamilton | 1 | 6 | 10 | 2 | 21 | 7 | 4 | 120 | 91.18 row 20 : denis ovens | 2 | 22 | 19 | 12 | 64 | 32 | 5 | 125 | 90.63 row 21 : wayne jones | 1 | 7 | 10 | 4 | 26 | 12 | 4 | 121 | 90.06 row 22 : peter wright | 1 | 4 | 10 | 1 | 17 | 9 | 2 | 96 | 89.39 row 23 : colin osborne | 1 | 7 | 10 | 4 | 18 | 13 | 2 | 116 | 89.18 row 24 : dennis priestley | 1 | 5 | 10 | 3 | 22 | 13 | 2 | 84 | 89.06 row 25 : robert thornton | 1 | 4 | 10 | 1 | 17 | 9 | 3 | 56 | 88.88 row 26 : mark dudbridge | 1 | 7 | 10 | 5 | 17 | 10 | 3 | 109 | 88.28 row 27 : wayne mardle | 2 | 16 | 14 | 6 | 36 | 22 | 4 | 115 | 87.27 row 28 : jamie caven | 1 | 3 | 10 | 0 | 13 | 6 | 2 | 120 | 86.95 row 29 : john part | 1 | 6 | 10 | 2 | 19 | 5 | 4 | 76 | 86.62 row 30 : tony eccles | 1 | 1 | 10 | 0 | 11 | 10 | 0 | 76 | 86.22 row 31 : colin lloyd | 2 | 15 | 20 | 8 | 46 | 17 | 5 | 62 | 86.18 row 32 : andy jenkins | 1 | 5 | 10 | 4 | 15 | 10 | 1 | 96 | 85.31 | col : count ( "player" ) row 1 : 1 | select count ( player ) where player = 'denis ovens' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& player & played & legs won & legs lost & lwat & 100+ & 140+ & 180s & high checkout & 3-dart average \\
\midrule
0 & phil taylor & 5 & 74 & 20 & 34 & 130 & 77 & 44 & 144 & 105.73 \\
1 & raymond van barneveld & 3 & 35 & 30 & 9 & 85 & 43 & 17 & 126 & 98.1 \\
2 & gary anderson & 2 & 17 & 19 & 4 & 42 & 28 & 10 & 151 & 97.98 \\
3 & kevin painter & 2 & 13 & 16 & 5 & 32 & 18 & 8 & 130 & 96.71 \\
4 & mervyn king & 4 & 45 & 38 & 16 & 112 & 66 & 18 & 147 & 96.3 \\
5 & co stompe & 1 & 7 & 10 & 2 & 26 & 9 & 4 & 127 & 95.84 \\
6 & james wade & 3 & 33 & 26 & 10 & 75 & 47 & 12 & 153 & 95.73 \\
7 & andy smith & 1 & 5 & 10 & 1 & 19 & 15 & 1 & 112 & 95.29 \\
8 & terry jenkins & 5 & 61 & 58 & 20 & 157 & 80 & 26 & 131 & 94.08 \\
9 & adrian lewis & 3 & 26 & 28 & 13 & 63 & 40 & 13 & 156 & 93.69 \\
10 & ronnie baxter & 4 & 54 & 49 & 18 & 142 & 49 & 19 & 132 & 93.35 \\
11 & alan tabern & 2 & 24 & 21 & 8 & 66 & 32 & 7 & 157 & 92.68 \\
12 & steve beaton & 2 & 18 & 20 & 8 & 52 & 23 & 5 & 110 & 92.58 \\
13 & vincent van der voort & 3 & 29 & 28 & 9 & 71 & 42 & 13 & 131 & 92.57 \\
14 & jelle klaasen & 1 & 8 & 10 & 2 & 24 & 4 & 4 & 71 & 92.19 \\
15 & mark walsh & 2 & 21 & 18 & 9 & 49 & 26 & 9 & 121 & 92.02 \\
16 & wes newton & 1 & 3 & 10 & 1 & 16 & 3 & 5 & 96 & 91.92 \\
17 & michael van gerwen & 1 & 3 & 10 & 0 & 14 & 6 & 1 & 126 & 91.26 \\
18 & andy hamilton & 1 & 6 & 10 & 2 & 21 & 7 & 4 & 120 & 91.18 \\
19 & denis ovens & 2 & 22 & 19 & 12 & 64 & 32 & 5 & 125 & 90.63 \\
20 & wayne jones & 1 & 7 & 10 & 4 & 26 & 12 & 4 & 121 & 90.06 \\
21 & peter wright & 1 & 4 & 10 & 1 & 17 & 9 & 2 & 96 & 89.39 \\
22 & colin osborne & 1 & 7 & 10 & 4 & 18 & 13 & 2 & 116 & 89.18 \\
23 & dennis priestley & 1 & 5 & 10 & 3 & 22 & 13 & 2 & 84 & 89.06 \\
24 & robert thornton & 1 & 4 & 10 & 1 & 17 & 9 & 3 & 56 & 88.88 \\
25 & mark dudbridge & 1 & 7 & 10 & 5 & 17 & 10 & 3 & 109 & 88.28 \\
26 & wayne mardle & 2 & 16 & 14 & 6 & 36 & 22 & 4 & 115 & 87.27 \\
27 & jamie caven & 1 & 3 & 10 & 0 & 13 & 6 & 2 & 120 & 86.95 \\
28 & john part & 1 & 6 & 10 & 2 & 19 & 5 & 4 & 76 & 86.62 \\
29 & tony eccles & 1 & 1 & 10 & 0 & 11 & 10 & 0 & 76 & 86.22 \\
30 & colin lloyd & 2 & 15 & 20 & 8 & 46 & 17 & 5 & 62 & 86.18 \\
31 & andy jenkins & 1 & 5 & 10 & 4 & 15 & 10 & 1 & 96 & 85.31 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "player" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( player ) where player = 'denis ovens' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>player</th>
<th>played</th>
<th>legs won</th>
<th>legs lost</th>
<th>lwat</th>
<th>100+</th>
<th>140+</th>
<th>180s</th>
<th>high checkout</th>
<th>3-dart average</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>phil taylor</td>
<td>5</td>
<td>74</td>
<td>20</td>
<td>34</td>
<td>130</td>
<td>77</td>
<td>44</td>
<td>144</td>
<td>105.73</td>
</tr>
<tr>
<th>1</th>
<td>raymond van barneveld</td>
<td>3</td>
<td>35</td>
<td>30</td>
<td>9</td>
<td>85</td>
<td>43</td>
<td>17</td>
<td>126</td>
<td>98.1</td>
</tr>
<tr>
<th>2</th>
<td>gary anderson</td>
<td>2</td>
<td>17</td>
<td>19</td>
<td>4</td>
<td>42</td>
<td>28</td>
<td>10</td>
<td>151</td>
<td>97.98</td>
</tr>
<tr>
<th>3</th>
<td>kevin painter</td>
<td>2</td>
<td>13</td>
<td>16</td>
<td>5</td>
<td>32</td>
<td>18</td>
<td>8</td>
<td>130</td>
<td>96.71</td>
</tr>
<tr>
<th>4</th>
<td>mervyn king</td>
<td>4</td>
<td>45</td>
<td>38</td>
<td>16</td>
<td>112</td>
<td>66</td>
<td>18</td>
<td>147</td>
<td>96.3</td>
</tr>
<tr>
<th>5</th>
<td>co stompe</td>
<td>1</td>
<td>7</td>
<td>10</td>
<td>2</td>
<td>26</td>
<td>9</td>
<td>4</td>
<td>127</td>
<td>95.84</td>
</tr>
<tr>
<th>6</th>
<td>james wade</td>
<td>3</td>
<td>33</td>
<td>26</td>
<td>10</td>
<td>75</td>
<td>47</td>
<td>12</td>
<td>153</td>
<td>95.73</td>
</tr>
<tr>
<th>7</th>
<td>andy smith</td>
<td>1</td>
<td>5</td>
<td>10</td>
<td>1</td>
<td>19</td>
<td>15</td>
<td>1</td>
<td>112</td>
<td>95.29</td>
</tr>
<tr>
<th>8</th>
<td>terry jenkins</td>
<td>5</td>
<td>61</td>
<td>58</td>
<td>20</td>
<td>157</td>
<td>80</td>
<td>26</td>
<td>131</td>
<td>94.08</td>
</tr>
<tr>
<th>9</th>
<td>adrian lewis</td>
<td>3</td>
<td>26</td>
<td>28</td>
<td>13</td>
<td>63</td>
<td>40</td>
<td>13</td>
<td>156</td>
<td>93.69</td>
</tr>
<tr>
<th>10</th>
<td>ronnie baxter</td>
<td>4</td>
<td>54</td>
<td>49</td>
<td>18</td>
<td>142</td>
<td>49</td>
<td>19</td>
<td>132</td>
<td>93.35</td>
</tr>
<tr>
<th>11</th>
<td>alan tabern</td>
<td>2</td>
<td>24</td>
<td>21</td>
<td>8</td>
<td>66</td>
<td>32</td>
<td>7</td>
<td>157</td>
<td>92.68</td>
</tr>
<tr>
<th>12</th>
<td>steve beaton</td>
<td>2</td>
<td>18</td>
<td>20</td>
<td>8</td>
<td>52</td>
<td>23</td>
<td>5</td>
<td>110</td>
<td>92.58</td>
</tr>
<tr>
<th>13</th>
<td>vincent van der voort</td>
<td>3</td>
<td>29</td>
<td>28</td>
<td>9</td>
<td>71</td>
<td>42</td>
<td>13</td>
<td>131</td>
<td>92.57</td>
</tr>
<tr>
<th>14</th>
<td>jelle klaasen</td>
<td>1</td>
<td>8</td>
<td>10</td>
<td>2</td>
<td>24</td>
<td>4</td>
<td>4</td>
<td>71</td>
<td>92.19</td>
</tr>
<tr>
<th>15</th>
<td>mark walsh</td>
<td>2</td>
<td>21</td>
<td>18</td>
<td>9</td>
<td>49</td>
<td>26</td>
<td>9</td>
<td>121</td>
<td>92.02</td>
</tr>
<tr>
<th>16</th>
<td>wes newton</td>
<td>1</td>
<td>3</td>
<td>10</td>
<td>1</td>
<td>16</td>
<td>3</td>
<td>5</td>
<td>96</td>
<td>91.92</td>
</tr>
<tr>
<th>17</th>
<td>michael van gerwen</td>
<td>1</td>
<td>3</td>
<td>10</td>
<td>0</td>
<td>14</td>
<td>6</td>
<td>1</td>
<td>126</td>
<td>91.26</td>
</tr>
<tr>
<th>18</th>
<td>andy hamilton</td>
<td>1</td>
<td>6</td>
<td>10</td>
<td>2</td>
<td>21</td>
<td>7</td>
<td>4</td>
<td>120</td>
<td>91.18</td>
</tr>
<tr>
<th>19</th>
<td>denis ovens</td>
<td>2</td>
<td>22</td>
<td>19</td>
<td>12</td>
<td>64</td>
<td>32</td>
<td>5</td>
<td>125</td>
<td>90.63</td>
</tr>
<tr>
<th>20</th>
<td>wayne jones</td>
<td>1</td>
<td>7</td>
<td>10</td>
<td>4</td>
<td>26</td>
<td>12</td>
<td>4</td>
<td>121</td>
<td>90.06</td>
</tr>
<tr>
<th>21</th>
<td>peter wright</td>
<td>1</td>
<td>4</td>
<td>10</td>
<td>1</td>
<td>17</td>
<td>9</td>
<td>2</td>
<td>96</td>
<td>89.39</td>
</tr>
<tr>
<th>22</th>
<td>colin osborne</td>
<td>1</td>
<td>7</td>
<td>10</td>
<td>4</td>
<td>18</td>
<td>13</td>
<td>2</td>
<td>116</td>
<td>89.18</td>
</tr>
<tr>
<th>23</th>
<td>dennis priestley</td>
<td>1</td>
<td>5</td>
<td>10</td>
<td>3</td>
<td>22</td>
<td>13</td>
<td>2</td>
<td>84</td>
<td>89.06</td>
</tr>
<tr>
<th>24</th>
<td>robert thornton</td>
<td>1</td>
<td>4</td>
<td>10</td>
<td>1</td>
<td>17</td>
<td>9</td>
<td>3</td>
<td>56</td>
<td>88.88</td>
</tr>
<tr>
<th>25</th>
<td>mark dudbridge</td>
<td>1</td>
<td>7</td>
<td>10</td>
<td>5</td>
<td>17</td>
<td>10</td>
<td>3</td>
<td>109</td>
<td>88.28</td>
</tr>
<tr>
<th>26</th>
<td>wayne mardle</td>
<td>2</td>
<td>16</td>
<td>14</td>
<td>6</td>
<td>36</td>
<td>22</td>
<td>4</td>
<td>115</td>
<td>87.27</td>
</tr>
<tr>
<th>27</th>
<td>jamie caven</td>
<td>1</td>
<td>3</td>
<td>10</td>
<td>0</td>
<td>13</td>
<td>6</td>
<td>2</td>
<td>120</td>
<td>86.95</td>
</tr>
<tr>
<th>28</th>
<td>john part</td>
<td>1</td>
<td>6</td>
<td>10</td>
<td>2</td>
<td>19</td>
<td>5</td>
<td>4</td>
<td>76</td>
<td>86.62</td>
</tr>
<tr>
<th>29</th>
<td>tony eccles</td>
<td>1</td>
<td>1</td>
<td>10</td>
<td>0</td>
<td>11</td>
<td>10</td>
<td>0</td>
<td>76</td>
<td>86.22</td>
</tr>
<tr>
<th>30</th>
<td>colin lloyd</td>
<td>2</td>
<td>15</td>
<td>20</td>
<td>8</td>
<td>46</td>
<td>17</td>
<td>5</td>
<td>62</td>
<td>86.18</td>
</tr>
<tr>
<th>31</th>
<td>andy jenkins</td>
<td>1</td>
<td>5</td>
<td>10</td>
<td>4</td>
<td>15</td>
<td>10</td>
<td>1</td>
<td>96</td>
<td>85.31</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "player" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( player ) where player = 'denis ovens' <table_name> : table | | player | played | legs won | legs lost | lwat | 100+ | 140+ | 180s | high checkout | 3-dart average |
|---:|:----------------------|---------:|-----------:|------------:|-------:|-------:|-------:|-------:|----------------:|-----------------:|
| 0 | phil taylor | 5 | 74 | 20 | 34 | 130 | 77 | 44 | 144 | 105.73 |
| 1 | raymond van barneveld | 3 | 35 | 30 | 9 | 85 | 43 | 17 | 126 | 98.1 |
| 2 | gary anderson | 2 | 17 | 19 | 4 | 42 | 28 | 10 | 151 | 97.98 |
| 3 | kevin painter | 2 | 13 | 16 | 5 | 32 | 18 | 8 | 130 | 96.71 |
| 4 | mervyn king | 4 | 45 | 38 | 16 | 112 | 66 | 18 | 147 | 96.3 |
| 5 | co stompe | 1 | 7 | 10 | 2 | 26 | 9 | 4 | 127 | 95.84 |
| 6 | james wade | 3 | 33 | 26 | 10 | 75 | 47 | 12 | 153 | 95.73 |
| 7 | andy smith | 1 | 5 | 10 | 1 | 19 | 15 | 1 | 112 | 95.29 |
| 8 | terry jenkins | 5 | 61 | 58 | 20 | 157 | 80 | 26 | 131 | 94.08 |
| 9 | adrian lewis | 3 | 26 | 28 | 13 | 63 | 40 | 13 | 156 | 93.69 |
| 10 | ronnie baxter | 4 | 54 | 49 | 18 | 142 | 49 | 19 | 132 | 93.35 |
| 11 | alan tabern | 2 | 24 | 21 | 8 | 66 | 32 | 7 | 157 | 92.68 |
| 12 | steve beaton | 2 | 18 | 20 | 8 | 52 | 23 | 5 | 110 | 92.58 |
| 13 | vincent van der voort | 3 | 29 | 28 | 9 | 71 | 42 | 13 | 131 | 92.57 |
| 14 | jelle klaasen | 1 | 8 | 10 | 2 | 24 | 4 | 4 | 71 | 92.19 |
| 15 | mark walsh | 2 | 21 | 18 | 9 | 49 | 26 | 9 | 121 | 92.02 |
| 16 | wes newton | 1 | 3 | 10 | 1 | 16 | 3 | 5 | 96 | 91.92 |
| 17 | michael van gerwen | 1 | 3 | 10 | 0 | 14 | 6 | 1 | 126 | 91.26 |
| 18 | andy hamilton | 1 | 6 | 10 | 2 | 21 | 7 | 4 | 120 | 91.18 |
| 19 | denis ovens | 2 | 22 | 19 | 12 | 64 | 32 | 5 | 125 | 90.63 |
| 20 | wayne jones | 1 | 7 | 10 | 4 | 26 | 12 | 4 | 121 | 90.06 |
| 21 | peter wright | 1 | 4 | 10 | 1 | 17 | 9 | 2 | 96 | 89.39 |
| 22 | colin osborne | 1 | 7 | 10 | 4 | 18 | 13 | 2 | 116 | 89.18 |
| 23 | dennis priestley | 1 | 5 | 10 | 3 | 22 | 13 | 2 | 84 | 89.06 |
| 24 | robert thornton | 1 | 4 | 10 | 1 | 17 | 9 | 3 | 56 | 88.88 |
| 25 | mark dudbridge | 1 | 7 | 10 | 5 | 17 | 10 | 3 | 109 | 88.28 |
| 26 | wayne mardle | 2 | 16 | 14 | 6 | 36 | 22 | 4 | 115 | 87.27 |
| 27 | jamie caven | 1 | 3 | 10 | 0 | 13 | 6 | 2 | 120 | 86.95 |
| 28 | john part | 1 | 6 | 10 | 2 | 19 | 5 | 4 | 76 | 86.62 |
| 29 | tony eccles | 1 | 1 | 10 | 0 | 11 | 10 | 0 | 76 | 86.22 |
| 30 | colin lloyd | 2 | 15 | 20 | 8 | 46 | 17 | 5 | 62 | 86.18 |
| 31 | andy jenkins | 1 | 5 | 10 | 4 | 15 | 10 | 1 | 96 | 85.31 | | | | count ( "player" ) |
|---:|---------------------:|
| 0 | 1 | | [
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] |
select count ( venue ) where attendance < 1883 col : date | opponent | venue | result | attendance | scorers row 1 : 2005-08-13 00:00:00 | charlton athletic | stadium of light | 1-3 | 34446 | gray row 2 : 2005-08-20 00:00:00 | liverpool | anfield | 0-1 | 44913 | none row 3 : 2005-08-23 00:00:00 | manchester city | stadium of light | 1-2 | 33357 | le tallec row 4 : 2005-08-27 00:00:00 | wigan athletic | jjb stadium | 0-1 | 17223 | none row 5 : 2005-09-10 00:00:00 | chelsea | stamford bridge | 0-2 | 41969 | none row 6 : 2005-09-17 00:00:00 | west bromwich albion | stadium of light | 1-1 | 31657 | breen row 7 : 2005-09-25 00:00:00 | middlesbrough | riverside stadium | 2-0 | 29583 | miller, arca row 8 : 2005-10-01 00:00:00 | west ham united | stadium of light | 1-1 | 31212 | miller row 9 : 2005-10-15 00:00:00 | manchester united | stadium of light | 1-3 | 39085 | elliott row 10 : 2005-10-23 00:00:00 | newcastle united | st james' park | 2-3 | 52302 | lawrence, elliott row 11 : 2005-10-29 00:00:00 | portsmouth | stadium of light | 1-4 | 34926 | whitehead (pen) row 12 : 2005-11-05 00:00:00 | arsenal | highbury | 1-3 | 38210 | stubbs row 13 : 2005-11-19 00:00:00 | aston villa | stadium of light | 1-3 | 39707 | whitehead (pen) row 14 : 2005-11-26 00:00:00 | birmingham city | stadium of light | 0-1 | 32442 | none row 15 : 2005-11-30 00:00:00 | liverpool | stadium of light | 0-2 | 32697 | none row 16 : 2005-12-03 00:00:00 | tottenham hotspur | white hart lane | 2-3 | 36244 | whitehead, le tallec row 17 : 2005-12-10 00:00:00 | charlton athletic | the valley | 0-2 | 26065 | none row 18 : 2005-12-26 00:00:00 | bolton wanderers | stadium of light | 0-0 | 32232 | none row 19 : 2005-12-31 00:00:00 | everton | stadium of light | 0-1 | 30567 | none row 20 : 2006-01-02 00:00:00 | fulham | craven cottage | 1-2 | 19372 | lawrence row 21 : 2006-01-15 00:00:00 | chelsea | stadium of light | 1-2 | 32420 | lawrence row 22 : 2006-01-21 00:00:00 | west bromwich albion | the hawthorns | 1-0 | 26464 | watson (own goal) row 23 : 2006-01-31 00:00:00 | middlesbrough | stadium of light | 0-3 | 31675 | none row 24 : 2006-02-04 00:00:00 | west ham united | boleyn ground | 0-2 | 34745 | none row 25 : 2006-02-12 00:00:00 | tottenham hotspur | stadium of light | 1-1 | 34700 | murphy row 26 : 2006-02-15 00:00:00 | blackburn rovers | ewood park | 0-2 | 18220 | none row 27 : 2006-02-25 00:00:00 | birmingham city | st. andrew's | 0-1 | 29257 | none row 28 : 2006-03-03 00:00:00 | manchester city | city of manchester stadium | 1-2 | 42200 | kyle row 29 : 2006-03-11 00:00:00 | wigan athletic | stadium of light | 0-1 | 31194 | none row 30 : 2006-03-18 00:00:00 | bolton wanderers | reebok stadium | 0-2 | 23568 | none row 31 : 2006-03-25 00:00:00 | blackburn rovers | stadium of light | 0-1 | 29593 | none row 32 : 2006-04-01 00:00:00 | everton | goodison park | 2-2 | 38093 | stead, delap row 33 : 2006-04-14 00:00:00 | manchester united | old trafford | 0-0 | 72519 | none row 34 : 2006-04-17 00:00:00 | newcastle united | stadium of light | 1-4 | 40032 | hoyte row 35 : 2006-04-22 00:00:00 | portsmouth | fratton park | 1-2 | 20078 | miller row 36 : 2006-05-01 00:00:00 | arsenal | stadium of light | 0-3 | 44003 | none row 37 : 2006-05-04 00:00:00 | fulham | stadium of light | 2-1 | 28226 | le tallec, brown row 38 : 2006-05-07 00:00:00 | aston villa | villa park | 1-2 | 33820 | d. collins | col : count ( "venue" ) row 1 : 2 | select count ( venue ) where attendance < 1883 <table_name> : table \begin{tabular}{lllllll}
\toprule
& date & opponent & venue & result & attendance & scorers \\
\midrule
0 & 2005-08-13 00:00:00 & charlton athletic & stadium of light & 1-3 & 34446 & gray \\
1 & 2005-08-20 00:00:00 & liverpool & anfield & 0-1 & 44913 & none \\
2 & 2005-08-23 00:00:00 & manchester city & stadium of light & 1-2 & 33357 & le tallec \\
3 & 2005-08-27 00:00:00 & wigan athletic & jjb stadium & 0-1 & 17223 & none \\
4 & 2005-09-10 00:00:00 & chelsea & stamford bridge & 0-2 & 41969 & none \\
5 & 2005-09-17 00:00:00 & west bromwich albion & stadium of light & 1-1 & 31657 & breen \\
6 & 2005-09-25 00:00:00 & middlesbrough & riverside stadium & 2-0 & 29583 & miller, arca \\
7 & 2005-10-01 00:00:00 & west ham united & stadium of light & 1-1 & 31212 & miller \\
8 & 2005-10-15 00:00:00 & manchester united & stadium of light & 1-3 & 39085 & elliott \\
9 & 2005-10-23 00:00:00 & newcastle united & st james' park & 2-3 & 52302 & lawrence, elliott \\
10 & 2005-10-29 00:00:00 & portsmouth & stadium of light & 1-4 & 34926 & whitehead (pen) \\
11 & 2005-11-05 00:00:00 & arsenal & highbury & 1-3 & 38210 & stubbs \\
12 & 2005-11-19 00:00:00 & aston villa & stadium of light & 1-3 & 39707 & whitehead (pen) \\
13 & 2005-11-26 00:00:00 & birmingham city & stadium of light & 0-1 & 32442 & none \\
14 & 2005-11-30 00:00:00 & liverpool & stadium of light & 0-2 & 32697 & none \\
15 & 2005-12-03 00:00:00 & tottenham hotspur & white hart lane & 2-3 & 36244 & whitehead, le tallec \\
16 & 2005-12-10 00:00:00 & charlton athletic & the valley & 0-2 & 26065 & none \\
17 & 2005-12-26 00:00:00 & bolton wanderers & stadium of light & 0-0 & 32232 & none \\
18 & 2005-12-31 00:00:00 & everton & stadium of light & 0-1 & 30567 & none \\
19 & 2006-01-02 00:00:00 & fulham & craven cottage & 1-2 & 19372 & lawrence \\
20 & 2006-01-15 00:00:00 & chelsea & stadium of light & 1-2 & 32420 & lawrence \\
21 & 2006-01-21 00:00:00 & west bromwich albion & the hawthorns & 1-0 & 26464 & watson (own goal) \\
22 & 2006-01-31 00:00:00 & middlesbrough & stadium of light & 0-3 & 31675 & none \\
23 & 2006-02-04 00:00:00 & west ham united & boleyn ground & 0-2 & 34745 & none \\
24 & 2006-02-12 00:00:00 & tottenham hotspur & stadium of light & 1-1 & 34700 & murphy \\
25 & 2006-02-15 00:00:00 & blackburn rovers & ewood park & 0-2 & 18220 & none \\
26 & 2006-02-25 00:00:00 & birmingham city & st. andrew's & 0-1 & 29257 & none \\
27 & 2006-03-03 00:00:00 & manchester city & city of manchester stadium & 1-2 & 42200 & kyle \\
28 & 2006-03-11 00:00:00 & wigan athletic & stadium of light & 0-1 & 31194 & none \\
29 & 2006-03-18 00:00:00 & bolton wanderers & reebok stadium & 0-2 & 23568 & none \\
30 & 2006-03-25 00:00:00 & blackburn rovers & stadium of light & 0-1 & 29593 & none \\
31 & 2006-04-01 00:00:00 & everton & goodison park & 2-2 & 38093 & stead, delap \\
32 & 2006-04-14 00:00:00 & manchester united & old trafford & 0-0 & 72519 & none \\
33 & 2006-04-17 00:00:00 & newcastle united & stadium of light & 1-4 & 40032 & hoyte \\
34 & 2006-04-22 00:00:00 & portsmouth & fratton park & 1-2 & 20078 & miller \\
35 & 2006-05-01 00:00:00 & arsenal & stadium of light & 0-3 & 44003 & none \\
36 & 2006-05-04 00:00:00 & fulham & stadium of light & 2-1 & 28226 & le tallec, brown \\
37 & 2006-05-07 00:00:00 & aston villa & villa park & 1-2 & 33820 & d. collins \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "venue" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( venue ) where attendance < 1883 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>opponent</th>
<th>venue</th>
<th>result</th>
<th>attendance</th>
<th>scorers</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2005-08-13 00:00:00</td>
<td>charlton athletic</td>
<td>stadium of light</td>
<td>1-3</td>
<td>34446</td>
<td>gray</td>
</tr>
<tr>
<th>1</th>
<td>2005-08-20 00:00:00</td>
<td>liverpool</td>
<td>anfield</td>
<td>0-1</td>
<td>44913</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>2005-08-23 00:00:00</td>
<td>manchester city</td>
<td>stadium of light</td>
<td>1-2</td>
<td>33357</td>
<td>le tallec</td>
</tr>
<tr>
<th>3</th>
<td>2005-08-27 00:00:00</td>
<td>wigan athletic</td>
<td>jjb stadium</td>
<td>0-1</td>
<td>17223</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2005-09-10 00:00:00</td>
<td>chelsea</td>
<td>stamford bridge</td>
<td>0-2</td>
<td>41969</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>2005-09-17 00:00:00</td>
<td>west bromwich albion</td>
<td>stadium of light</td>
<td>1-1</td>
<td>31657</td>
<td>breen</td>
</tr>
<tr>
<th>6</th>
<td>2005-09-25 00:00:00</td>
<td>middlesbrough</td>
<td>riverside stadium</td>
<td>2-0</td>
<td>29583</td>
<td>miller, arca</td>
</tr>
<tr>
<th>7</th>
<td>2005-10-01 00:00:00</td>
<td>west ham united</td>
<td>stadium of light</td>
<td>1-1</td>
<td>31212</td>
<td>miller</td>
</tr>
<tr>
<th>8</th>
<td>2005-10-15 00:00:00</td>
<td>manchester united</td>
<td>stadium of light</td>
<td>1-3</td>
<td>39085</td>
<td>elliott</td>
</tr>
<tr>
<th>9</th>
<td>2005-10-23 00:00:00</td>
<td>newcastle united</td>
<td>st james' park</td>
<td>2-3</td>
<td>52302</td>
<td>lawrence, elliott</td>
</tr>
<tr>
<th>10</th>
<td>2005-10-29 00:00:00</td>
<td>portsmouth</td>
<td>stadium of light</td>
<td>1-4</td>
<td>34926</td>
<td>whitehead (pen)</td>
</tr>
<tr>
<th>11</th>
<td>2005-11-05 00:00:00</td>
<td>arsenal</td>
<td>highbury</td>
<td>1-3</td>
<td>38210</td>
<td>stubbs</td>
</tr>
<tr>
<th>12</th>
<td>2005-11-19 00:00:00</td>
<td>aston villa</td>
<td>stadium of light</td>
<td>1-3</td>
<td>39707</td>
<td>whitehead (pen)</td>
</tr>
<tr>
<th>13</th>
<td>2005-11-26 00:00:00</td>
<td>birmingham city</td>
<td>stadium of light</td>
<td>0-1</td>
<td>32442</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2005-11-30 00:00:00</td>
<td>liverpool</td>
<td>stadium of light</td>
<td>0-2</td>
<td>32697</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>2005-12-03 00:00:00</td>
<td>tottenham hotspur</td>
<td>white hart lane</td>
<td>2-3</td>
<td>36244</td>
<td>whitehead, le tallec</td>
</tr>
<tr>
<th>16</th>
<td>2005-12-10 00:00:00</td>
<td>charlton athletic</td>
<td>the valley</td>
<td>0-2</td>
<td>26065</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>2005-12-26 00:00:00</td>
<td>bolton wanderers</td>
<td>stadium of light</td>
<td>0-0</td>
<td>32232</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>2005-12-31 00:00:00</td>
<td>everton</td>
<td>stadium of light</td>
<td>0-1</td>
<td>30567</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>2006-01-02 00:00:00</td>
<td>fulham</td>
<td>craven cottage</td>
<td>1-2</td>
<td>19372</td>
<td>lawrence</td>
</tr>
<tr>
<th>20</th>
<td>2006-01-15 00:00:00</td>
<td>chelsea</td>
<td>stadium of light</td>
<td>1-2</td>
<td>32420</td>
<td>lawrence</td>
</tr>
<tr>
<th>21</th>
<td>2006-01-21 00:00:00</td>
<td>west bromwich albion</td>
<td>the hawthorns</td>
<td>1-0</td>
<td>26464</td>
<td>watson (own goal)</td>
</tr>
<tr>
<th>22</th>
<td>2006-01-31 00:00:00</td>
<td>middlesbrough</td>
<td>stadium of light</td>
<td>0-3</td>
<td>31675</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>2006-02-04 00:00:00</td>
<td>west ham united</td>
<td>boleyn ground</td>
<td>0-2</td>
<td>34745</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>2006-02-12 00:00:00</td>
<td>tottenham hotspur</td>
<td>stadium of light</td>
<td>1-1</td>
<td>34700</td>
<td>murphy</td>
</tr>
<tr>
<th>25</th>
<td>2006-02-15 00:00:00</td>
<td>blackburn rovers</td>
<td>ewood park</td>
<td>0-2</td>
<td>18220</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>2006-02-25 00:00:00</td>
<td>birmingham city</td>
<td>st. andrew's</td>
<td>0-1</td>
<td>29257</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>2006-03-03 00:00:00</td>
<td>manchester city</td>
<td>city of manchester stadium</td>
<td>1-2</td>
<td>42200</td>
<td>kyle</td>
</tr>
<tr>
<th>28</th>
<td>2006-03-11 00:00:00</td>
<td>wigan athletic</td>
<td>stadium of light</td>
<td>0-1</td>
<td>31194</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>2006-03-18 00:00:00</td>
<td>bolton wanderers</td>
<td>reebok stadium</td>
<td>0-2</td>
<td>23568</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>2006-03-25 00:00:00</td>
<td>blackburn rovers</td>
<td>stadium of light</td>
<td>0-1</td>
<td>29593</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>2006-04-01 00:00:00</td>
<td>everton</td>
<td>goodison park</td>
<td>2-2</td>
<td>38093</td>
<td>stead, delap</td>
</tr>
<tr>
<th>32</th>
<td>2006-04-14 00:00:00</td>
<td>manchester united</td>
<td>old trafford</td>
<td>0-0</td>
<td>72519</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>2006-04-17 00:00:00</td>
<td>newcastle united</td>
<td>stadium of light</td>
<td>1-4</td>
<td>40032</td>
<td>hoyte</td>
</tr>
<tr>
<th>34</th>
<td>2006-04-22 00:00:00</td>
<td>portsmouth</td>
<td>fratton park</td>
<td>1-2</td>
<td>20078</td>
<td>miller</td>
</tr>
<tr>
<th>35</th>
<td>2006-05-01 00:00:00</td>
<td>arsenal</td>
<td>stadium of light</td>
<td>0-3</td>
<td>44003</td>
<td>none</td>
</tr>
<tr>
<th>36</th>
<td>2006-05-04 00:00:00</td>
<td>fulham</td>
<td>stadium of light</td>
<td>2-1</td>
<td>28226</td>
<td>le tallec, brown</td>
</tr>
<tr>
<th>37</th>
<td>2006-05-07 00:00:00</td>
<td>aston villa</td>
<td>villa park</td>
<td>1-2</td>
<td>33820</td>
<td>d. collins</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "venue" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select count ( venue ) where attendance < 1883 <table_name> : table | | date | opponent | venue | result | attendance | scorers |
|---:|:--------------------|:---------------------|:---------------------------|:---------|-------------:|:---------------------|
| 0 | 2005-08-13 00:00:00 | charlton athletic | stadium of light | 1-3 | 34446 | gray |
| 1 | 2005-08-20 00:00:00 | liverpool | anfield | 0-1 | 44913 | none |
| 2 | 2005-08-23 00:00:00 | manchester city | stadium of light | 1-2 | 33357 | le tallec |
| 3 | 2005-08-27 00:00:00 | wigan athletic | jjb stadium | 0-1 | 17223 | none |
| 4 | 2005-09-10 00:00:00 | chelsea | stamford bridge | 0-2 | 41969 | none |
| 5 | 2005-09-17 00:00:00 | west bromwich albion | stadium of light | 1-1 | 31657 | breen |
| 6 | 2005-09-25 00:00:00 | middlesbrough | riverside stadium | 2-0 | 29583 | miller, arca |
| 7 | 2005-10-01 00:00:00 | west ham united | stadium of light | 1-1 | 31212 | miller |
| 8 | 2005-10-15 00:00:00 | manchester united | stadium of light | 1-3 | 39085 | elliott |
| 9 | 2005-10-23 00:00:00 | newcastle united | st james' park | 2-3 | 52302 | lawrence, elliott |
| 10 | 2005-10-29 00:00:00 | portsmouth | stadium of light | 1-4 | 34926 | whitehead (pen) |
| 11 | 2005-11-05 00:00:00 | arsenal | highbury | 1-3 | 38210 | stubbs |
| 12 | 2005-11-19 00:00:00 | aston villa | stadium of light | 1-3 | 39707 | whitehead (pen) |
| 13 | 2005-11-26 00:00:00 | birmingham city | stadium of light | 0-1 | 32442 | none |
| 14 | 2005-11-30 00:00:00 | liverpool | stadium of light | 0-2 | 32697 | none |
| 15 | 2005-12-03 00:00:00 | tottenham hotspur | white hart lane | 2-3 | 36244 | whitehead, le tallec |
| 16 | 2005-12-10 00:00:00 | charlton athletic | the valley | 0-2 | 26065 | none |
| 17 | 2005-12-26 00:00:00 | bolton wanderers | stadium of light | 0-0 | 32232 | none |
| 18 | 2005-12-31 00:00:00 | everton | stadium of light | 0-1 | 30567 | none |
| 19 | 2006-01-02 00:00:00 | fulham | craven cottage | 1-2 | 19372 | lawrence |
| 20 | 2006-01-15 00:00:00 | chelsea | stadium of light | 1-2 | 32420 | lawrence |
| 21 | 2006-01-21 00:00:00 | west bromwich albion | the hawthorns | 1-0 | 26464 | watson (own goal) |
| 22 | 2006-01-31 00:00:00 | middlesbrough | stadium of light | 0-3 | 31675 | none |
| 23 | 2006-02-04 00:00:00 | west ham united | boleyn ground | 0-2 | 34745 | none |
| 24 | 2006-02-12 00:00:00 | tottenham hotspur | stadium of light | 1-1 | 34700 | murphy |
| 25 | 2006-02-15 00:00:00 | blackburn rovers | ewood park | 0-2 | 18220 | none |
| 26 | 2006-02-25 00:00:00 | birmingham city | st. andrew's | 0-1 | 29257 | none |
| 27 | 2006-03-03 00:00:00 | manchester city | city of manchester stadium | 1-2 | 42200 | kyle |
| 28 | 2006-03-11 00:00:00 | wigan athletic | stadium of light | 0-1 | 31194 | none |
| 29 | 2006-03-18 00:00:00 | bolton wanderers | reebok stadium | 0-2 | 23568 | none |
| 30 | 2006-03-25 00:00:00 | blackburn rovers | stadium of light | 0-1 | 29593 | none |
| 31 | 2006-04-01 00:00:00 | everton | goodison park | 2-2 | 38093 | stead, delap |
| 32 | 2006-04-14 00:00:00 | manchester united | old trafford | 0-0 | 72519 | none |
| 33 | 2006-04-17 00:00:00 | newcastle united | stadium of light | 1-4 | 40032 | hoyte |
| 34 | 2006-04-22 00:00:00 | portsmouth | fratton park | 1-2 | 20078 | miller |
| 35 | 2006-05-01 00:00:00 | arsenal | stadium of light | 0-3 | 44003 | none |
| 36 | 2006-05-04 00:00:00 | fulham | stadium of light | 2-1 | 28226 | le tallec, brown |
| 37 | 2006-05-07 00:00:00 | aston villa | villa park | 1-2 | 33820 | d. collins | | | | count ( "venue" ) |
|---:|--------------------:|
| 0 | 2 | | [
[
1,
4025,
1056,
261,
331,
275,
344,
262,
1625,
2403,
409,
1359,
411,
404,
5482,
23,
411,
2121,
67,
529,
34,
294,
1014,
571,
565,
571,
1509,
7734,
571,
1061,
1029,
2398,
571,
331,
275,
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select bronze where silver = 'jana bieger' col : year | location | gold | silver | bronze row 1 : 1950 | basel | helena rakoczy | tereza kocis | stefania reindlova row 2 : 1954 | rome | tamara manina | eva bosakova | maria gorokovskaya row 3 : 1958 | moscow | eva bosakova | larisa latynina | keiko tanaka row 4 : 1962 | prague | larisa latynina | irina pervuschina | vera caslavska row 5 : 1966 | dortmund | natalia kutchinskaya | vera caslavska | zinaida drougina row 6 : 1970 | ljubljana | ludmila turicheva | olga karaseva | zinaida voronina row 7 : 1974 | varna | ludmila turicheva | olga korbut | elvira saadi rusudan siharulidze row 8 : 1978 | strasbourg | nellie kim elena mukhina | none | emilia eberle kathy johnson row 9 : 1979 | fort worth | emilia eberle | nellie kim | melita ruhn row 10 : 1981 | moscow | natalia ilienko | yelena davydova | zoja grantcharova row 11 : 1983 | budapest | ekaterina szabo | olga mostepanova | boriana stoyanova row 12 : 1985 | montreal | oksana omelianchik | elena shushunova | ulrike klotz row 13 : 1987 | rotterdam | daniela silivas elena shushunova | none | aurelia dobre row 14 : 1989 | stuttgart | daniela silivas svetlana boguinskaya | none | cristina bontas row 15 : 1991 | indianapolis | cristina bontas oksana chusovitina | none | kim zmeskal row 16 : 1992 | paris | kim zmeskal | henrietta onodi | maria neculita tatiana lysenko row 17 : 1993 | birmingham | shannon miller | gina gogean | natalia bobrova row 18 : 1994 | brisbane | dina kochetkova | lavinia milosovici | gina gogean row 19 : 1995 | sabae | gina gogean | ji liya | ludivine furnon row 20 : 1996 | san juan | kui yuan-yuan gina gogean | none | liubov sheremeta lavinia milosovici row 21 : 1997 | lausanne | gina gogean | svetlana khorkina | elena produnova row 22 : 1999 | tianjin | andreea raducan | simona amanar | svetlana khorkina row 23 : 2001 | ghent | andreea raducan | daniele hypolito | svetlana khorkina row 24 : 2002 | debrecen | elena gomez | verona van de leur | samantha sheehan row 25 : 2003 | anaheim | daiane dos santos | catalina ponor | elena gomez row 26 : 2005 | melbourne | alicia sacramone | anastasia liukin | suzanne harmes row 27 : 2006 | aarhus | cheng fei | jana bieger | vanessa ferrari row 28 : 2007 | stuttgart | shawn johnson | alicia sacramone | cassy vericel row 29 : 2009 | london | elizabeth tweddle | lauren mitchell | sui lu row 30 : 2010 | rotterdam | lauren mitchell | aliya mustafina diana chelaru | none row 31 : 2011 | tokyo | ksenia afanasyeva | sui lu | aly raisman row 32 : 2013 | antwerp | simone biles | vanessa ferrari | larisa iordache row 33 : 2014 | nanning | none | none | none row 34 : 2015 | glasgow | none | none | none | col : bronze row 1 : vanessa ferrari | select bronze where silver = 'jana bieger' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & location & gold & silver & bronze \\
\midrule
0 & 1950 & basel & helena rakoczy & tereza kocis & stefania reindlova \\
1 & 1954 & rome & tamara manina & eva bosakova & maria gorokovskaya \\
2 & 1958 & moscow & eva bosakova & larisa latynina & keiko tanaka \\
3 & 1962 & prague & larisa latynina & irina pervuschina & vera caslavska \\
4 & 1966 & dortmund & natalia kutchinskaya & vera caslavska & zinaida drougina \\
5 & 1970 & ljubljana & ludmila turicheva & olga karaseva & zinaida voronina \\
6 & 1974 & varna & ludmila turicheva & olga korbut & elvira saadi rusudan siharulidze \\
7 & 1978 & strasbourg & nellie kim elena mukhina & none & emilia eberle kathy johnson \\
8 & 1979 & fort worth & emilia eberle & nellie kim & melita ruhn \\
9 & 1981 & moscow & natalia ilienko & yelena davydova & zoja grantcharova \\
10 & 1983 & budapest & ekaterina szabo & olga mostepanova & boriana stoyanova \\
11 & 1985 & montreal & oksana omelianchik & elena shushunova & ulrike klotz \\
12 & 1987 & rotterdam & daniela silivas elena shushunova & none & aurelia dobre \\
13 & 1989 & stuttgart & daniela silivas svetlana boguinskaya & none & cristina bontas \\
14 & 1991 & indianapolis & cristina bontas oksana chusovitina & none & kim zmeskal \\
15 & 1992 & paris & kim zmeskal & henrietta onodi & maria neculita tatiana lysenko \\
16 & 1993 & birmingham & shannon miller & gina gogean & natalia bobrova \\
17 & 1994 & brisbane & dina kochetkova & lavinia milosovici & gina gogean \\
18 & 1995 & sabae & gina gogean & ji liya & ludivine furnon \\
19 & 1996 & san juan & kui yuan-yuan gina gogean & none & liubov sheremeta lavinia milosovici \\
20 & 1997 & lausanne & gina gogean & svetlana khorkina & elena produnova \\
21 & 1999 & tianjin & andreea raducan & simona amanar & svetlana khorkina \\
22 & 2001 & ghent & andreea raducan & daniele hypolito & svetlana khorkina \\
23 & 2002 & debrecen & elena gomez & verona van de leur & samantha sheehan \\
24 & 2003 & anaheim & daiane dos santos & catalina ponor & elena gomez \\
25 & 2005 & melbourne & alicia sacramone & anastasia liukin & suzanne harmes \\
26 & 2006 & aarhus & cheng fei & jana bieger & vanessa ferrari \\
27 & 2007 & stuttgart & shawn johnson & alicia sacramone & cassy vericel \\
28 & 2009 & london & elizabeth tweddle & lauren mitchell & sui lu \\
29 & 2010 & rotterdam & lauren mitchell & aliya mustafina diana chelaru & none \\
30 & 2011 & tokyo & ksenia afanasyeva & sui lu & aly raisman \\
31 & 2013 & antwerp & simone biles & vanessa ferrari & larisa iordache \\
32 & 2014 & nanning & none & none & none \\
33 & 2015 & glasgow & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& bronze \\
\midrule
0 & vanessa ferrari \\
\bottomrule
\end{tabular}
| select bronze where silver = 'jana bieger' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>location</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1950</td>
<td>basel</td>
<td>helena rakoczy</td>
<td>tereza kocis</td>
<td>stefania reindlova</td>
</tr>
<tr>
<th>1</th>
<td>1954</td>
<td>rome</td>
<td>tamara manina</td>
<td>eva bosakova</td>
<td>maria gorokovskaya</td>
</tr>
<tr>
<th>2</th>
<td>1958</td>
<td>moscow</td>
<td>eva bosakova</td>
<td>larisa latynina</td>
<td>keiko tanaka</td>
</tr>
<tr>
<th>3</th>
<td>1962</td>
<td>prague</td>
<td>larisa latynina</td>
<td>irina pervuschina</td>
<td>vera caslavska</td>
</tr>
<tr>
<th>4</th>
<td>1966</td>
<td>dortmund</td>
<td>natalia kutchinskaya</td>
<td>vera caslavska</td>
<td>zinaida drougina</td>
</tr>
<tr>
<th>5</th>
<td>1970</td>
<td>ljubljana</td>
<td>ludmila turicheva</td>
<td>olga karaseva</td>
<td>zinaida voronina</td>
</tr>
<tr>
<th>6</th>
<td>1974</td>
<td>varna</td>
<td>ludmila turicheva</td>
<td>olga korbut</td>
<td>elvira saadi rusudan siharulidze</td>
</tr>
<tr>
<th>7</th>
<td>1978</td>
<td>strasbourg</td>
<td>nellie kim elena mukhina</td>
<td>none</td>
<td>emilia eberle kathy johnson</td>
</tr>
<tr>
<th>8</th>
<td>1979</td>
<td>fort worth</td>
<td>emilia eberle</td>
<td>nellie kim</td>
<td>melita ruhn</td>
</tr>
<tr>
<th>9</th>
<td>1981</td>
<td>moscow</td>
<td>natalia ilienko</td>
<td>yelena davydova</td>
<td>zoja grantcharova</td>
</tr>
<tr>
<th>10</th>
<td>1983</td>
<td>budapest</td>
<td>ekaterina szabo</td>
<td>olga mostepanova</td>
<td>boriana stoyanova</td>
</tr>
<tr>
<th>11</th>
<td>1985</td>
<td>montreal</td>
<td>oksana omelianchik</td>
<td>elena shushunova</td>
<td>ulrike klotz</td>
</tr>
<tr>
<th>12</th>
<td>1987</td>
<td>rotterdam</td>
<td>daniela silivas elena shushunova</td>
<td>none</td>
<td>aurelia dobre</td>
</tr>
<tr>
<th>13</th>
<td>1989</td>
<td>stuttgart</td>
<td>daniela silivas svetlana boguinskaya</td>
<td>none</td>
<td>cristina bontas</td>
</tr>
<tr>
<th>14</th>
<td>1991</td>
<td>indianapolis</td>
<td>cristina bontas oksana chusovitina</td>
<td>none</td>
<td>kim zmeskal</td>
</tr>
<tr>
<th>15</th>
<td>1992</td>
<td>paris</td>
<td>kim zmeskal</td>
<td>henrietta onodi</td>
<td>maria neculita tatiana lysenko</td>
</tr>
<tr>
<th>16</th>
<td>1993</td>
<td>birmingham</td>
<td>shannon miller</td>
<td>gina gogean</td>
<td>natalia bobrova</td>
</tr>
<tr>
<th>17</th>
<td>1994</td>
<td>brisbane</td>
<td>dina kochetkova</td>
<td>lavinia milosovici</td>
<td>gina gogean</td>
</tr>
<tr>
<th>18</th>
<td>1995</td>
<td>sabae</td>
<td>gina gogean</td>
<td>ji liya</td>
<td>ludivine furnon</td>
</tr>
<tr>
<th>19</th>
<td>1996</td>
<td>san juan</td>
<td>kui yuan-yuan gina gogean</td>
<td>none</td>
<td>liubov sheremeta lavinia milosovici</td>
</tr>
<tr>
<th>20</th>
<td>1997</td>
<td>lausanne</td>
<td>gina gogean</td>
<td>svetlana khorkina</td>
<td>elena produnova</td>
</tr>
<tr>
<th>21</th>
<td>1999</td>
<td>tianjin</td>
<td>andreea raducan</td>
<td>simona amanar</td>
<td>svetlana khorkina</td>
</tr>
<tr>
<th>22</th>
<td>2001</td>
<td>ghent</td>
<td>andreea raducan</td>
<td>daniele hypolito</td>
<td>svetlana khorkina</td>
</tr>
<tr>
<th>23</th>
<td>2002</td>
<td>debrecen</td>
<td>elena gomez</td>
<td>verona van de leur</td>
<td>samantha sheehan</td>
</tr>
<tr>
<th>24</th>
<td>2003</td>
<td>anaheim</td>
<td>daiane dos santos</td>
<td>catalina ponor</td>
<td>elena gomez</td>
</tr>
<tr>
<th>25</th>
<td>2005</td>
<td>melbourne</td>
<td>alicia sacramone</td>
<td>anastasia liukin</td>
<td>suzanne harmes</td>
</tr>
<tr>
<th>26</th>
<td>2006</td>
<td>aarhus</td>
<td>cheng fei</td>
<td>jana bieger</td>
<td>vanessa ferrari</td>
</tr>
<tr>
<th>27</th>
<td>2007</td>
<td>stuttgart</td>
<td>shawn johnson</td>
<td>alicia sacramone</td>
<td>cassy vericel</td>
</tr>
<tr>
<th>28</th>
<td>2009</td>
<td>london</td>
<td>elizabeth tweddle</td>
<td>lauren mitchell</td>
<td>sui lu</td>
</tr>
<tr>
<th>29</th>
<td>2010</td>
<td>rotterdam</td>
<td>lauren mitchell</td>
<td>aliya mustafina diana chelaru</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>2011</td>
<td>tokyo</td>
<td>ksenia afanasyeva</td>
<td>sui lu</td>
<td>aly raisman</td>
</tr>
<tr>
<th>31</th>
<td>2013</td>
<td>antwerp</td>
<td>simone biles</td>
<td>vanessa ferrari</td>
<td>larisa iordache</td>
</tr>
<tr>
<th>32</th>
<td>2014</td>
<td>nanning</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>2015</td>
<td>glasgow</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>bronze</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>vanessa ferrari</td>
</tr>
</tbody>
</table> | select bronze where silver = 'jana bieger' <table_name> : table | | year | location | gold | silver | bronze |
|---:|-------:|:-------------|:-------------------------------------|:------------------------------|:------------------------------------|
| 0 | 1950 | basel | helena rakoczy | tereza kocis | stefania reindlova |
| 1 | 1954 | rome | tamara manina | eva bosakova | maria gorokovskaya |
| 2 | 1958 | moscow | eva bosakova | larisa latynina | keiko tanaka |
| 3 | 1962 | prague | larisa latynina | irina pervuschina | vera caslavska |
| 4 | 1966 | dortmund | natalia kutchinskaya | vera caslavska | zinaida drougina |
| 5 | 1970 | ljubljana | ludmila turicheva | olga karaseva | zinaida voronina |
| 6 | 1974 | varna | ludmila turicheva | olga korbut | elvira saadi rusudan siharulidze |
| 7 | 1978 | strasbourg | nellie kim elena mukhina | none | emilia eberle kathy johnson |
| 8 | 1979 | fort worth | emilia eberle | nellie kim | melita ruhn |
| 9 | 1981 | moscow | natalia ilienko | yelena davydova | zoja grantcharova |
| 10 | 1983 | budapest | ekaterina szabo | olga mostepanova | boriana stoyanova |
| 11 | 1985 | montreal | oksana omelianchik | elena shushunova | ulrike klotz |
| 12 | 1987 | rotterdam | daniela silivas elena shushunova | none | aurelia dobre |
| 13 | 1989 | stuttgart | daniela silivas svetlana boguinskaya | none | cristina bontas |
| 14 | 1991 | indianapolis | cristina bontas oksana chusovitina | none | kim zmeskal |
| 15 | 1992 | paris | kim zmeskal | henrietta onodi | maria neculita tatiana lysenko |
| 16 | 1993 | birmingham | shannon miller | gina gogean | natalia bobrova |
| 17 | 1994 | brisbane | dina kochetkova | lavinia milosovici | gina gogean |
| 18 | 1995 | sabae | gina gogean | ji liya | ludivine furnon |
| 19 | 1996 | san juan | kui yuan-yuan gina gogean | none | liubov sheremeta lavinia milosovici |
| 20 | 1997 | lausanne | gina gogean | svetlana khorkina | elena produnova |
| 21 | 1999 | tianjin | andreea raducan | simona amanar | svetlana khorkina |
| 22 | 2001 | ghent | andreea raducan | daniele hypolito | svetlana khorkina |
| 23 | 2002 | debrecen | elena gomez | verona van de leur | samantha sheehan |
| 24 | 2003 | anaheim | daiane dos santos | catalina ponor | elena gomez |
| 25 | 2005 | melbourne | alicia sacramone | anastasia liukin | suzanne harmes |
| 26 | 2006 | aarhus | cheng fei | jana bieger | vanessa ferrari |
| 27 | 2007 | stuttgart | shawn johnson | alicia sacramone | cassy vericel |
| 28 | 2009 | london | elizabeth tweddle | lauren mitchell | sui lu |
| 29 | 2010 | rotterdam | lauren mitchell | aliya mustafina diana chelaru | none |
| 30 | 2011 | tokyo | ksenia afanasyeva | sui lu | aly raisman |
| 31 | 2013 | antwerp | simone biles | vanessa ferrari | larisa iordache |
| 32 | 2014 | nanning | none | none | none |
| 33 | 2015 | glasgow | none | none | none | | | | bronze |
|---:|:----------------|
| 0 | vanessa ferrari | | [
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2
]
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select count ( notes ) where notes = 'none' col : rank | name | nationality | result | notes row 1 : none | huang qiuyan | china | 14.39 | sb row 2 : none | anastasiya juravleva | uzbekistan | 14.21 | #name? row 3 : none | zhang hao | china | 13.63 | none row 4 : 4 | wacharee ritthiwat | thailand | 13.54 | sb row 5 : 5 | tatyana bocharova | kazakhstan | 13.5 | none row 6 : 6 | wang kuo-huei | chinese taipei | 13.25 | sb row 7 : 7 | fumiyo yoshida | japan | 13.09 | none row 8 : 8 | ngew sin mei | malaysia | 12.93 | none row 9 : 9 | manisha dey | india | 12.83 | none row 10 : 10 | thitima muangjan | thailand | 12.79 | none row 11 : 11 | phan thi thu lan | vietnam | 12.75 | none row 12 : 12 | lo yu-hsin | chinese taipei | 12.69 | none row 13 : none | elena bobrovskaya | kyrgyzstan | dns | none | col : count ( "notes" ) row 1 : 9 | select count ( notes ) where notes = 'none' <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & name & nationality & result & notes \\
\midrule
0 & none & huang qiuyan & china & 14.39 & sb \\
1 & none & anastasiya juravleva & uzbekistan & 14.21 & #name? \\
2 & none & zhang hao & china & 13.63 & none \\
3 & 4 & wacharee ritthiwat & thailand & 13.54 & sb \\
4 & 5 & tatyana bocharova & kazakhstan & 13.5 & none \\
5 & 6 & wang kuo-huei & chinese taipei & 13.25 & sb \\
6 & 7 & fumiyo yoshida & japan & 13.09 & none \\
7 & 8 & ngew sin mei & malaysia & 12.93 & none \\
8 & 9 & manisha dey & india & 12.83 & none \\
9 & 10 & thitima muangjan & thailand & 12.79 & none \\
10 & 11 & phan thi thu lan & vietnam & 12.75 & none \\
11 & 12 & lo yu-hsin & chinese taipei & 12.69 & none \\
12 & none & elena bobrovskaya & kyrgyzstan & dns & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "notes" ) \\
\midrule
0 & 9 \\
\bottomrule
\end{tabular}
| select count ( notes ) where notes = 'none' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>name</th>
<th>nationality</th>
<th>result</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
<td>huang qiuyan</td>
<td>china</td>
<td>14.39</td>
<td>sb</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>anastasiya juravleva</td>
<td>uzbekistan</td>
<td>14.21</td>
<td>#name?</td>
</tr>
<tr>
<th>2</th>
<td>none</td>
<td>zhang hao</td>
<td>china</td>
<td>13.63</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>wacharee ritthiwat</td>
<td>thailand</td>
<td>13.54</td>
<td>sb</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>tatyana bocharova</td>
<td>kazakhstan</td>
<td>13.5</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>wang kuo-huei</td>
<td>chinese taipei</td>
<td>13.25</td>
<td>sb</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>fumiyo yoshida</td>
<td>japan</td>
<td>13.09</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>ngew sin mei</td>
<td>malaysia</td>
<td>12.93</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>manisha dey</td>
<td>india</td>
<td>12.83</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>thitima muangjan</td>
<td>thailand</td>
<td>12.79</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>phan thi thu lan</td>
<td>vietnam</td>
<td>12.75</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>lo yu-hsin</td>
<td>chinese taipei</td>
<td>12.69</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>none</td>
<td>elena bobrovskaya</td>
<td>kyrgyzstan</td>
<td>dns</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "notes" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>9</td>
</tr>
</tbody>
</table> | select count ( notes ) where notes = 'none' <table_name> : table | | rank | name | nationality | result | notes |
|---:|:-------|:---------------------|:---------------|:---------|:--------|
| 0 | none | huang qiuyan | china | 14.39 | sb |
| 1 | none | anastasiya juravleva | uzbekistan | 14.21 | #name? |
| 2 | none | zhang hao | china | 13.63 | none |
| 3 | 4 | wacharee ritthiwat | thailand | 13.54 | sb |
| 4 | 5 | tatyana bocharova | kazakhstan | 13.5 | none |
| 5 | 6 | wang kuo-huei | chinese taipei | 13.25 | sb |
| 6 | 7 | fumiyo yoshida | japan | 13.09 | none |
| 7 | 8 | ngew sin mei | malaysia | 12.93 | none |
| 8 | 9 | manisha dey | india | 12.83 | none |
| 9 | 10 | thitima muangjan | thailand | 12.79 | none |
| 10 | 11 | phan thi thu lan | vietnam | 12.75 | none |
| 11 | 12 | lo yu-hsin | chinese taipei | 12.69 | none |
| 12 | none | elena bobrovskaya | kyrgyzstan | dns | none | | | | count ( "notes" ) |
|---:|--------------------:|
| 0 | 9 | | [
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select count ( english translation ) where points = 'morgane' col : draw | country | language | artist | song | english translation | place | points row 1 : 1 | spain | spanish | serafin zubiri | "todo esto es la musica" | all this is music | 14.0 | 37.0 row 2 : 2 | belgium | french | morgane | "nous, on veut des violons" | we want violins | 20.0 | 11.0 row 3 : 3 | israel | hebrew | dafna dekel | "ze rak sport" (זה רק ספורט) | it's just sport | 6.0 | 85.0 row 4 : 4 | turkey | turkish | aylin vatankos | "yaz bitti" | summer is over | 19.0 | 17.0 row 5 : 5 | greece | greek | cleopatra | "olou tou kosmou i elpida" (ολου του κοσμου η ελπιδα) | the whole world's hope | 5.0 | 94.0 row 6 : 6 | france | french, antillean creole | kali | "monte la rivie" | go up the river | 8.0 | 73.0 row 7 : 7 | sweden | swedish | christer bjorkman | "i morgon ar en annan dag" | tomor | | row 8 : is another day | 22 | 9 | | | | | row 9 : 8 | portugal | portuguese | dina | "amor d'agua fresca" | fresh water love | 17.0 | 26.0 row 10 : 9 | cyprus | greek | evridiki | "teriazoume" (ταιριαζουμε) | we hit it off | 11.0 | 57.0 row 11 : 10 | malta | english | mary spiteri | "little child" | none | 3.0 | 123.0 row 12 : 11 | iceland | icelandic | heart 2 heart | "nei eða ja" | no or yes? | 7.0 | 80.0 row 13 : 12 | finland | finnish | pave maijanen | "yamma, yamma" | none | 23.0 | 4.0 row 14 : 13 | switzerland | french | daisy auvray | "mister music man" | none | 15.0 | 32.0 row 15 : 14 | luxembourg | luxembourgish | marion welter & kontinent | "sou frai" | so free | 21.0 | 10.0 row 16 : 15 | austria | german | tony wegas | "zusammen geh'n" | go together | 10.0 | 63.0 row 17 : 16 | united kingdom | english | michael ball | "one step out of time" | none | 2.0 | 139.0 row 18 : 17 | ireland | english | linda martin | "why me?" | none | 1.0 | 155.0 row 19 : 18 | denmark | danish | kenny lubcke & lotte nilsson | "alt det som ingen ser" | all the things that nobody sees | 12.0 | 47.0 row 20 : 19 | italy | italian | mia martini | "rapsodia" | rhapsody | 4.0 | 111.0 row 21 : 20 | fr yugoslavia | serbian | extra nena | "ljubim te pesmama" (љубим те песмама) | i'm kissing you with songs | 13.0 | 44.0 row 22 : 21 | norway | norwegian | merethe trøan | "visjoner" | visions | 18.0 | 23.0 row 23 : 22 | germany | german | wind | "traume sind fur alle da" | dreams are there for everyone | 16.0 | 27.0 row 24 : 23 | netherlands | dutch | humphrey campbell | "wijs me de weg" | show me the way | 9.0 | 67.0 | col : count ( "english translation" ) row 1 : 0 | select count ( english translation ) where points = 'morgane' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& draw & country & language & artist & song & english translation & place & points \\
\midrule
0 & 1 & spain & spanish & serafin zubiri & "todo esto es la musica" & all this is music & 14.0 & 37.0 \\
1 & 2 & belgium & french & morgane & "nous, on veut des violons" & we want violins & 20.0 & 11.0 \\
2 & 3 & israel & hebrew & dafna dekel & "ze rak sport" (זה רק ספורט) & it's just sport & 6.0 & 85.0 \\
3 & 4 & turkey & turkish & aylin vatankos & "yaz bitti" & summer is over & 19.0 & 17.0 \\
4 & 5 & greece & greek & cleopatra & "olou tou kosmou i elpida" (ολου του κοσμου η ελπιδα) & the whole world's hope & 5.0 & 94.0 \\
5 & 6 & france & french, antillean creole & kali & "monte la rivie" & go up the river & 8.0 & 73.0 \\
6 & 7 & sweden & swedish & christer bjorkman & "i morgon ar en annan dag" & tomor & & \\
7 & is another day & 22 & 9 & & & & & \\
8 & 8 & portugal & portuguese & dina & "amor d'agua fresca" & fresh water love & 17.0 & 26.0 \\
9 & 9 & cyprus & greek & evridiki & "teriazoume" (ταιριαζουμε) & we hit it off & 11.0 & 57.0 \\
10 & 10 & malta & english & mary spiteri & "little child" & none & 3.0 & 123.0 \\
11 & 11 & iceland & icelandic & heart 2 heart & "nei eða ja" & no or yes? & 7.0 & 80.0 \\
12 & 12 & finland & finnish & pave maijanen & "yamma, yamma" & none & 23.0 & 4.0 \\
13 & 13 & switzerland & french & daisy auvray & "mister music man" & none & 15.0 & 32.0 \\
14 & 14 & luxembourg & luxembourgish & marion welter & kontinent & "sou frai" & so free & 21.0 & 10.0 \\
15 & 15 & austria & german & tony wegas & "zusammen geh'n" & go together & 10.0 & 63.0 \\
16 & 16 & united kingdom & english & michael ball & "one step out of time" & none & 2.0 & 139.0 \\
17 & 17 & ireland & english & linda martin & "why me?" & none & 1.0 & 155.0 \\
18 & 18 & denmark & danish & kenny lubcke & lotte nilsson & "alt det som ingen ser" & all the things that nobody sees & 12.0 & 47.0 \\
19 & 19 & italy & italian & mia martini & "rapsodia" & rhapsody & 4.0 & 111.0 \\
20 & 20 & fr yugoslavia & serbian & extra nena & "ljubim te pesmama" (љубим те песмама) & i'm kissing you with songs & 13.0 & 44.0 \\
21 & 21 & norway & norwegian & merethe trøan & "visjoner" & visions & 18.0 & 23.0 \\
22 & 22 & germany & german & wind & "traume sind fur alle da" & dreams are there for everyone & 16.0 & 27.0 \\
23 & 23 & netherlands & dutch & humphrey campbell & "wijs me de weg" & show me the way & 9.0 & 67.0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "english translation" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( english translation ) where points = 'morgane' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>draw</th>
<th>country</th>
<th>language</th>
<th>artist</th>
<th>song</th>
<th>english translation</th>
<th>place</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>spain</td>
<td>spanish</td>
<td>serafin zubiri</td>
<td>"todo esto es la musica"</td>
<td>all this is music</td>
<td>14.0</td>
<td>37.0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>belgium</td>
<td>french</td>
<td>morgane</td>
<td>"nous, on veut des violons"</td>
<td>we want violins</td>
<td>20.0</td>
<td>11.0</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>israel</td>
<td>hebrew</td>
<td>dafna dekel</td>
<td>"ze rak sport" (זה רק ספורט)</td>
<td>it's just sport</td>
<td>6.0</td>
<td>85.0</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>turkey</td>
<td>turkish</td>
<td>aylin vatankos</td>
<td>"yaz bitti"</td>
<td>summer is over</td>
<td>19.0</td>
<td>17.0</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>greece</td>
<td>greek</td>
<td>cleopatra</td>
<td>"olou tou kosmou i elpida" (ολου του κοσμου η ελπιδα)</td>
<td>the whole world's hope</td>
<td>5.0</td>
<td>94.0</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>france</td>
<td>french, antillean creole</td>
<td>kali</td>
<td>"monte la rivie"</td>
<td>go up the river</td>
<td>8.0</td>
<td>73.0</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>sweden</td>
<td>swedish</td>
<td>christer bjorkman</td>
<td>"i morgon ar en annan dag"</td>
<td>tomor</td>
<td></td>
<td></td>
</tr>
<tr>
<th>7</th>
<td>is another day</td>
<td>22</td>
<td>9</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>portugal</td>
<td>portuguese</td>
<td>dina</td>
<td>"amor d'agua fresca"</td>
<td>fresh water love</td>
<td>17.0</td>
<td>26.0</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>cyprus</td>
<td>greek</td>
<td>evridiki</td>
<td>"teriazoume" (ταιριαζουμε)</td>
<td>we hit it off</td>
<td>11.0</td>
<td>57.0</td>
</tr>
<tr>
<th>10</th>
<td>10</td>
<td>malta</td>
<td>english</td>
<td>mary spiteri</td>
<td>"little child"</td>
<td>none</td>
<td>3.0</td>
<td>123.0</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>iceland</td>
<td>icelandic</td>
<td>heart 2 heart</td>
<td>"nei eða ja"</td>
<td>no or yes?</td>
<td>7.0</td>
<td>80.0</td>
</tr>
<tr>
<th>12</th>
<td>12</td>
<td>finland</td>
<td>finnish</td>
<td>pave maijanen</td>
<td>"yamma, yamma"</td>
<td>none</td>
<td>23.0</td>
<td>4.0</td>
</tr>
<tr>
<th>13</th>
<td>13</td>
<td>switzerland</td>
<td>french</td>
<td>daisy auvray</td>
<td>"mister music man"</td>
<td>none</td>
<td>15.0</td>
<td>32.0</td>
</tr>
<tr>
<th>14</th>
<td>14</td>
<td>luxembourg</td>
<td>luxembourgish</td>
<td>marion welter & kontinent</td>
<td>"sou frai"</td>
<td>so free</td>
<td>21.0</td>
<td>10.0</td>
</tr>
<tr>
<th>15</th>
<td>15</td>
<td>austria</td>
<td>german</td>
<td>tony wegas</td>
<td>"zusammen geh'n"</td>
<td>go together</td>
<td>10.0</td>
<td>63.0</td>
</tr>
<tr>
<th>16</th>
<td>16</td>
<td>united kingdom</td>
<td>english</td>
<td>michael ball</td>
<td>"one step out of time"</td>
<td>none</td>
<td>2.0</td>
<td>139.0</td>
</tr>
<tr>
<th>17</th>
<td>17</td>
<td>ireland</td>
<td>english</td>
<td>linda martin</td>
<td>"why me?"</td>
<td>none</td>
<td>1.0</td>
<td>155.0</td>
</tr>
<tr>
<th>18</th>
<td>18</td>
<td>denmark</td>
<td>danish</td>
<td>kenny lubcke & lotte nilsson</td>
<td>"alt det som ingen ser"</td>
<td>all the things that nobody sees</td>
<td>12.0</td>
<td>47.0</td>
</tr>
<tr>
<th>19</th>
<td>19</td>
<td>italy</td>
<td>italian</td>
<td>mia martini</td>
<td>"rapsodia"</td>
<td>rhapsody</td>
<td>4.0</td>
<td>111.0</td>
</tr>
<tr>
<th>20</th>
<td>20</td>
<td>fr yugoslavia</td>
<td>serbian</td>
<td>extra nena</td>
<td>"ljubim te pesmama" (љубим те песмама)</td>
<td>i'm kissing you with songs</td>
<td>13.0</td>
<td>44.0</td>
</tr>
<tr>
<th>21</th>
<td>21</td>
<td>norway</td>
<td>norwegian</td>
<td>merethe trøan</td>
<td>"visjoner"</td>
<td>visions</td>
<td>18.0</td>
<td>23.0</td>
</tr>
<tr>
<th>22</th>
<td>22</td>
<td>germany</td>
<td>german</td>
<td>wind</td>
<td>"traume sind fur alle da"</td>
<td>dreams are there for everyone</td>
<td>16.0</td>
<td>27.0</td>
</tr>
<tr>
<th>23</th>
<td>23</td>
<td>netherlands</td>
<td>dutch</td>
<td>humphrey campbell</td>
<td>"wijs me de weg"</td>
<td>show me the way</td>
<td>9.0</td>
<td>67.0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "english translation" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( english translation ) where points = 'morgane' <table_name> : table | | draw | country | language | artist | song | english translation | place | points |
|---:|:---------------|:---------------|:-------------------------|:-----------------------------|:------------------------------------------------------|:--------------------------------|:--------|:---------|
| 0 | 1 | spain | spanish | serafin zubiri | "todo esto es la musica" | all this is music | 14.0 | 37.0 |
| 1 | 2 | belgium | french | morgane | "nous, on veut des violons" | we want violins | 20.0 | 11.0 |
| 2 | 3 | israel | hebrew | dafna dekel | "ze rak sport" (זה רק ספורט) | it's just sport | 6.0 | 85.0 |
| 3 | 4 | turkey | turkish | aylin vatankos | "yaz bitti" | summer is over | 19.0 | 17.0 |
| 4 | 5 | greece | greek | cleopatra | "olou tou kosmou i elpida" (ολου του κοσμου η ελπιδα) | the whole world's hope | 5.0 | 94.0 |
| 5 | 6 | france | french, antillean creole | kali | "monte la rivie" | go up the river | 8.0 | 73.0 |
| 6 | 7 | sweden | swedish | christer bjorkman | "i morgon ar en annan dag" | tomor | | |
| 7 | is another day | 22 | 9 | | | | | |
| 8 | 8 | portugal | portuguese | dina | "amor d'agua fresca" | fresh water love | 17.0 | 26.0 |
| 9 | 9 | cyprus | greek | evridiki | "teriazoume" (ταιριαζουμε) | we hit it off | 11.0 | 57.0 |
| 10 | 10 | malta | english | mary spiteri | "little child" | none | 3.0 | 123.0 |
| 11 | 11 | iceland | icelandic | heart 2 heart | "nei eða ja" | no or yes? | 7.0 | 80.0 |
| 12 | 12 | finland | finnish | pave maijanen | "yamma, yamma" | none | 23.0 | 4.0 |
| 13 | 13 | switzerland | french | daisy auvray | "mister music man" | none | 15.0 | 32.0 |
| 14 | 14 | luxembourg | luxembourgish | marion welter & kontinent | "sou frai" | so free | 21.0 | 10.0 |
| 15 | 15 | austria | german | tony wegas | "zusammen geh'n" | go together | 10.0 | 63.0 |
| 16 | 16 | united kingdom | english | michael ball | "one step out of time" | none | 2.0 | 139.0 |
| 17 | 17 | ireland | english | linda martin | "why me?" | none | 1.0 | 155.0 |
| 18 | 18 | denmark | danish | kenny lubcke & lotte nilsson | "alt det som ingen ser" | all the things that nobody sees | 12.0 | 47.0 |
| 19 | 19 | italy | italian | mia martini | "rapsodia" | rhapsody | 4.0 | 111.0 |
| 20 | 20 | fr yugoslavia | serbian | extra nena | "ljubim te pesmama" (љубим те песмама) | i'm kissing you with songs | 13.0 | 44.0 |
| 21 | 21 | norway | norwegian | merethe trøan | "visjoner" | visions | 18.0 | 23.0 |
| 22 | 22 | germany | german | wind | "traume sind fur alle da" | dreams are there for everyone | 16.0 | 27.0 |
| 23 | 23 | netherlands | dutch | humphrey campbell | "wijs me de weg" | show me the way | 9.0 | 67.0 | | | | count ( "english translation" ) |
|---:|----------------------------------:|
| 0 | 0 | | [
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2
]
] | [
[
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select count ( design ) where serials issued = 'none' col : first issued | design | slogan | serial format | serials issued | notes row 1 : 1957-65 (odd years only) | embossed white on forest green with uncolored border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right | see embossed in same letters as vermont, at lower left | 12345 (rounded numbers) | none | alternated with white plates from 1957 to 1966 row 2 : 1958-66 (even years only) | embossed forest green on white with uncolored border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right | see embossed in same letters as vermont, at lower left | 12345 (rounded numbers) a1234 (1962 only) | none | alternated with forest green plates from 1957 to 1966 row 3 : 1967 | embossed white on green with border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right | none | 1234 a-1234 1234-a | none | color changed from forest green to the kelly green used today row 4 : 1969 | embossed white on green with border line; vermont embossed in plain block letters centered below numbers; registration sticker at bottom right corner | see embossed in lower left corner | 1234 a-1234 1234-a | none | see returned to plate row 5 : 1972 | embossed white on green with border line; vermont embossed in plain block letters centered above numbers; registration sticker at bottom left corner | see embossed in top left corner | a-1234 1234-a ab-123 a123b | none | none row 6 : 1976 | embossed white on green with border line; vermont embossed in plain block letters centered below numbers; white circle embossed to lower left; registration sticker at lower right | green mountains embossed in thin block letters centered above numbers | a-1234 1234-a ab123 123ab | none | none row 7 : 1977 | embossed white on green with beveled edge and white rectangular box around numbers; vermont in white stylized font screened above white box, with white sugar maple in upper left corner; registration sticker at lower right corner | green mountain state screened in white plain serifed font centered below white box | 123a4 (rounded numbers) | none | none row 8 : 1985 | embossed white on green with beveled edge and white rectangular box around numbers; vermont in white stylized font screened above white box, with white sugar maple in upper left corner; registration sticker at lower right corner | green mountain state screened in white plain serifed font centered below white box | 1a234 123a4 1ab23 12ab3 abc 123 123a456 (more rectangular numbers than previous set) | 1a100 to 9y999 100a1 to 999y9 1aa00 to ?f?99 00aa1 to 99??9 aab 100 to present 100a100 to present | the "1aa" series never reached 1ga currently, the letters i, j, o, q, u, v and z are not in regular use. the "100a100" series are new truck plates issued starting in mid-2009 | col : count ( "design" ) row 1 : 7 | select count ( design ) where serials issued = 'none' <table_name> : table \begin{tabular}{lllllll}
\toprule
& first issued & design & slogan & serial format & serials issued & notes \\
\midrule
0 & 1957-65 (odd years only) & embossed white on forest green with uncolored border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right & see embossed in same letters as vermont, at lower left & 12345 (rounded numbers) & none & alternated with white plates from 1957 to 1966 \\
1 & 1958-66 (even years only) & embossed forest green on white with uncolored border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right & see embossed in same letters as vermont, at lower left & 12345 (rounded numbers) a1234 (1962 only) & none & alternated with forest green plates from 1957 to 1966 \\
2 & 1967 & embossed white on green with border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right & none & 1234 a-1234 1234-a & none & color changed from forest green to the kelly green used today \\
3 & 1969 & embossed white on green with border line; vermont embossed in plain block letters centered below numbers; registration sticker at bottom right corner & see embossed in lower left corner & 1234 a-1234 1234-a & none & see returned to plate \\
4 & 1972 & embossed white on green with border line; vermont embossed in plain block letters centered above numbers; registration sticker at bottom left corner & see embossed in top left corner & a-1234 1234-a ab-123 a123b & none & none \\
5 & 1976 & embossed white on green with border line; vermont embossed in plain block letters centered below numbers; white circle embossed to lower left; registration sticker at lower right & green mountains embossed in thin block letters centered above numbers & a-1234 1234-a ab123 123ab & none & none \\
6 & 1977 & embossed white on green with beveled edge and white rectangular box around numbers; vermont in white stylized font screened above white box, with white sugar maple in upper left corner; registration sticker at lower right corner & green mountain state screened in white plain serifed font centered below white box & 123a4 (rounded numbers) & none & none \\
7 & 1985 & embossed white on green with beveled edge and white rectangular box around numbers; vermont in white stylized font screened above white box, with white sugar maple in upper left corner; registration sticker at lower right corner & green mountain state screened in white plain serifed font centered below white box & 1a234 123a4 1ab23 12ab3 abc 123 123a456 (more rectangular numbers than previous set) & 1a100 to 9y999 100a1 to 999y9 1aa00 to ?f?99 00aa1 to 99??9 aab 100 to present 100a100 to present & the "1aa" series never reached 1ga currently, the letters i, j, o, q, u, v and z are not in regular use. the "100a100" series are new truck plates issued starting in mid-2009 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "design" ) \\
\midrule
0 & 7 \\
\bottomrule
\end{tabular}
| select count ( design ) where serials issued = 'none' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>first issued</th>
<th>design</th>
<th>slogan</th>
<th>serial format</th>
<th>serials issued</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1957-65 (odd years only)</td>
<td>embossed white on forest green with uncolored border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right</td>
<td>see embossed in same letters as vermont, at lower left</td>
<td>12345 (rounded numbers)</td>
<td>none</td>
<td>alternated with white plates from 1957 to 1966</td>
</tr>
<tr>
<th>1</th>
<td>1958-66 (even years only)</td>
<td>embossed forest green on white with uncolored border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right</td>
<td>see embossed in same letters as vermont, at lower left</td>
<td>12345 (rounded numbers) a1234 (1962 only)</td>
<td>none</td>
<td>alternated with forest green plates from 1957 to 1966</td>
</tr>
<tr>
<th>2</th>
<td>1967</td>
<td>embossed white on green with border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right</td>
<td>none</td>
<td>1234 a-1234 1234-a</td>
<td>none</td>
<td>color changed from forest green to the kelly green used today</td>
</tr>
<tr>
<th>3</th>
<td>1969</td>
<td>embossed white on green with border line; vermont embossed in plain block letters centered below numbers; registration sticker at bottom right corner</td>
<td>see embossed in lower left corner</td>
<td>1234 a-1234 1234-a</td>
<td>none</td>
<td>see returned to plate</td>
</tr>
<tr>
<th>4</th>
<td>1972</td>
<td>embossed white on green with border line; vermont embossed in plain block letters centered above numbers; registration sticker at bottom left corner</td>
<td>see embossed in top left corner</td>
<td>a-1234 1234-a ab-123 a123b</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1976</td>
<td>embossed white on green with border line; vermont embossed in plain block letters centered below numbers; white circle embossed to lower left; registration sticker at lower right</td>
<td>green mountains embossed in thin block letters centered above numbers</td>
<td>a-1234 1234-a ab123 123ab</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1977</td>
<td>embossed white on green with beveled edge and white rectangular box around numbers; vermont in white stylized font screened above white box, with white sugar maple in upper left corner; registration sticker at lower right corner</td>
<td>green mountain state screened in white plain serifed font centered below white box</td>
<td>123a4 (rounded numbers)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1985</td>
<td>embossed white on green with beveled edge and white rectangular box around numbers; vermont in white stylized font screened above white box, with white sugar maple in upper left corner; registration sticker at lower right corner</td>
<td>green mountain state screened in white plain serifed font centered below white box</td>
<td>1a234 123a4 1ab23 12ab3 abc 123 123a456 (more rectangular numbers than previous set)</td>
<td>1a100 to 9y999 100a1 to 999y9 1aa00 to ?f?99 00aa1 to 99??9 aab 100 to present 100a100 to present</td>
<td>the "1aa" series never reached 1ga currently, the letters i, j, o, q, u, v and z are not in regular use. the "100a100" series are new truck plates issued starting in mid-2009</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "design" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>7</td>
</tr>
</tbody>
</table> | select count ( design ) where serials issued = 'none' <table_name> : table | | first issued | design | slogan | serial format | serials issued | notes |
|---:|:--------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 1957-65 (odd years only) | embossed white on forest green with uncolored border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right | see embossed in same letters as vermont, at lower left | 12345 (rounded numbers) | none | alternated with white plates from 1957 to 1966 |
| 1 | 1958-66 (even years only) | embossed forest green on white with uncolored border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right | see embossed in same letters as vermont, at lower left | 12345 (rounded numbers) a1234 (1962 only) | none | alternated with forest green plates from 1957 to 1966 |
| 2 | 1967 | embossed white on green with border line; vermont embossed in plain block letters centered below numbers, with last two digits of registration year in similar font at bottom right | none | 1234 a-1234 1234-a | none | color changed from forest green to the kelly green used today |
| 3 | 1969 | embossed white on green with border line; vermont embossed in plain block letters centered below numbers; registration sticker at bottom right corner | see embossed in lower left corner | 1234 a-1234 1234-a | none | see returned to plate |
| 4 | 1972 | embossed white on green with border line; vermont embossed in plain block letters centered above numbers; registration sticker at bottom left corner | see embossed in top left corner | a-1234 1234-a ab-123 a123b | none | none |
| 5 | 1976 | embossed white on green with border line; vermont embossed in plain block letters centered below numbers; white circle embossed to lower left; registration sticker at lower right | green mountains embossed in thin block letters centered above numbers | a-1234 1234-a ab123 123ab | none | none |
| 6 | 1977 | embossed white on green with beveled edge and white rectangular box around numbers; vermont in white stylized font screened above white box, with white sugar maple in upper left corner; registration sticker at lower right corner | green mountain state screened in white plain serifed font centered below white box | 123a4 (rounded numbers) | none | none |
| 7 | 1985 | embossed white on green with beveled edge and white rectangular box around numbers; vermont in white stylized font screened above white box, with white sugar maple in upper left corner; registration sticker at lower right corner | green mountain state screened in white plain serifed font centered below white box | 1a234 123a4 1ab23 12ab3 abc 123 123a456 (more rectangular numbers than previous set) | 1a100 to 9y999 100a1 to 999y9 1aa00 to ?f?99 00aa1 to 99??9 aab 100 to present 100a100 to present | the "1aa" series never reached 1ga currently, the letters i, j, o, q, u, v and z are not in regular use. the "100a100" series are new truck plates issued starting in mid-2009 | | | | count ( "design" ) |
|---:|---------------------:|
| 0 | 7 | | [
[
1,
4025,
1056,
261,
8281,
262,
1625,
2734,
87,
16865,
273,
296,
6102,
11,
411,
2121,
67,
529,
34,
294,
1014,
571,
565,
571,
1122,
16865,
2868,
571,
8281,
28524,
28524,
28524,
1171,
9079,
571,
272,
1330,
304,
28524,
2398,
571,
2734,
740,
28524,
3639,
571,
2734,
87,
16865,
28524,
10792,
571,
10913,
28524,
28524,
4766,
1850,
571,
203,
96,
6062,
30,
96,
30,
1271,
15392,
96,
30,
5802,
5802,
5802,
2443,
13465,
96,
30,
28253,
6062,
96,
30,
28253,
13465,
96,
30,
5802,
2443,
413,
96,
30,
5802,
5802,
2443,
18753,
96,
203,
96,
225,
374,
571,
5342,
10321,
17,
9222,
261,
31755,
11387,
1338,
13,
225,
571,
31265,
538,
730,
9578,
603,
30763,
10004,
598,
6301,
355,
7653,
5795,
980,
31,
331,
1035,
1580,
31265,
538,
730,
316,
7351,
1203,
13768,
25340,
5712,
5600,
16,
598,
1142,
2795,
6815,
434,
7914,
3286,
316,
7281,
3512,
622,
5469,
2145,
4766,
571,
2621,
31265,
538,
730,
316,
1967,
13768,
487,
331,
1035,
1580,
16,
622,
2612,
2002,
11794,
571,
2593,
25574,
261,
27561,
5600,
13,
4766,
17311,
571,
6555,
28524,
17311,
571,
6416,
690,
598,
9578,
886,
815,
628,
5342,
10321,
358,
5342,
6028,
28524,
28524,
571,
203,
96,
225,
404,
571,
5342,
8204,
17,
6028,
261,
16728,
11387,
1338,
13,
571,
31265,
538,
730,
30763,
10004,
603,
9578,
598,
6301,
355,
7653,
5795,
980,
31,
331,
1035,
1580,
31265,
538,
730,
316,
7351,
1203,
13768,
25340,
5712,
5600,
16,
598,
1142,
2795,
6815,
434,
7914,
3286,
316,
7281,
3512,
622,
5469,
2145,
4766,
571,
2621,
31265,
538,
730,
316,
1967,
13768,
487,
331,
1035,
1580,
16,
622,
2612,
2002,
11794,
571,
2593,
25574,
261,
27561,
5600,
13,
279,
28462,
261,
3657,
8898,
1338,
13,
4766,
5411,
571,
6555,
28524,
17311,
571,
6416,
690,
598,
30763,
10004,
886,
815,
628,
5342,
10321,
358,
5342,
6028,
28524,
4766,
12900,
571,
203,
96,
225,
576,
571,
5342,
9599,
8227,
571,
31265,
538,
730,
9578,
603,
10004,
598,
5795,
980,
31,
331,
1035,
1580,
31265,
538,
730,
316,
7351,
1203,
13768,
25340,
5712,
5600,
16,
598,
1142,
2795,
6815,
434,
7914,
3286,
316,
7281,
3512,
622,
5469,
2145,
4766,
5375,
571,
6555,
28524,
9079,
571,
30011,
279,
17,
28462,
30011,
17,
69,
28524,
282,
571,
6555,
28524,
17311,
571,
2036,
3550,
628,
30763,
10004,
358,
326,
29861,
715,
10004,
1399,
10074,
28524,
4766,
5375,
571,
203,
96,
225,
890,
571,
5342,
8148,
8227,
571,
31265,
538,
730,
9578,
603,
10004,
598,
5795,
980,
31,
331,
1035,
1580,
31265,
538,
730,
316,
7351,
1203,
13768,
25340,
5712,
5600,
31,
7914,
384,
5448,
622,
5469,
2145,
11055,
28524,
7734,
571,
2621,
31265,
538,
730,
316,
2612,
2002,
11055,
4766,
5375,
571,
30011,
279,
17,
28462,
30011,
17,
69,
28524,
282,
571,
6555,
28524,
17311,
571,
2621,
2106,
358,
21972,
28524,
28524,
12900,
571,
203,
96,
225,
1059,
571,
5342,
9060,
8227,
571,
31265,
538,
730,
9578,
603,
10004,
598,
5795,
980,
31,
331,
1035,
1580,
31265,
538,
730,
316,
7351,
1203,
13768,
25340,
5721,
5600,
31,
7914,
384,
5448,
622,
5469,
2002,
11055,
28524,
1171,
571,
2621,
31265,
538,
730,
316,
1760,
2002,
11055,
4766,
10792,
571,
279,
17,
28462,
30011,
17,
69,
1223,
17,
12936,
279,
12936,
70,
4766,
21821,
571,
6555,
28524,
17311,
571,
6555,
28524,
28524,
4766,
6647,
571,
203,
96,
225,
1381,
571,
5342,
6669,
8227,
571,
31265,
538,
730,
9578,
603,
10004,
598,
5795,
980,
31,
331,
1035,
1580,
31265,
538,
730,
316,
7351,
1203,
13768,
25340,
5712,
5600,
31,
9578,
12470,
31265,
538,
730,
358,
2612,
2002,
31,
7914,
384,
5448,
622,
2612,
2145,
4766,
10402,
571,
10004,
5344,
4167,
31265,
538,
730,
316,
21936,
1203,
13768,
25340,
5721,
5600,
2868,
571,
279,
17,
28462,
30011,
17,
69,
1223,
12936,
17335,
378,
4766,
18701,
571,
6555,
28524,
17311,
571,
6555,
28524,
28524,
4766,
6647,
571,
203,
96,
225,
1666,
571,
5342,
4700,
8227,
571,
31265,
538,
730,
9578,
603,
10004,
598,
506,
941,
329,
3591,
471,
9578,
4917,
13077,
3919,
6740,
5600,
31,
331,
1035,
1580,
316,
9578,
16253,
80,
1235,
3512,
5518,
329,
5721,
9578,
3919,
16,
598,
9578,
26178,
852,
298,
316,
3854,
2002,
11055,
31,
7914,
384,
5448,
622,
2612,
2145,
11055,
571,
10004,
5344,
530,
919,
5518,
329,
316,
9578,
7351,
703,
430,
329,
3512,
25340,
5712,
9578,
3919,
571,
17335,
69,
24,
261,
27561,
5600,
13,
4766,
17311,
571,
6555,
28524,
17311,
571,
6555,
28524,
28524,
4766,
6647,
571,
203,
96,
225,
2371,
571,
5342,
7140,
8227,
571,
31265,
538,
730,
9578,
603,
10004,
598,
506,
941,
329,
3591,
471,
9578,
4917,
13077,
3919,
6740,
5600,
31,
331,
1035,
1580,
316,
9578,
16253,
80,
1235,
3512,
5518,
329,
5721,
9578,
3919,
16,
598,
9578,
26178,
852,
298,
316,
3854,
2002,
11055,
31,
7914,
384,
5448,
622,
2612,
2145,
11055,
571,
10004,
5344,
530,
919,
5518,
329,
316,
9578,
7351,
703,
430,
329,
3512,
25340,
5712,
9578,
3919,
571,
404,
69,
17959,
17335,
69,
24,
404,
378,
4366,
2593,
378,
23,
20011,
17335,
17335,
69,
24,
4313,
261,
10161,
4917,
13077,
5600,
2353,
2416,
444,
13,
571,
404,
69,
6625,
358,
2468,
93,
11984,
2130,
69,
21,
358,
22249,
93,
29,
404,
7598,
713,
358,
692,
74,
35,
2733,
9631,
7598,
21,
358,
14605,
14646,
29,
279,
378,
2130,
358,
3430,
2130,
69,
6625,
358,
3430,
571,
326,
404,
7598,
4166,
5903,
8675,
404,
15833,
4551,
16,
326,
13768,
277,
16,
525,
16,
320,
16,
1043,
16,
582,
16,
331,
471,
998,
854,
486,
316,
6736,
999,
18,
326,
2130,
69,
6625,
4166,
854,
394,
433,
9031,
886,
815,
16865,
5023,
316,
7501,
17,
6976,
29,
571,
2,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
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select open cup where league = 'usisl pdsl' col : year | division | league | regular season | playoffs | open cup row 1 : 1998 | 4 | usisl pdsl | 4th, central | division finals | 1st round row 2 : 1999 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify row 3 : 2000 | 4 | usl pdl | 4th, rocky mountain | did not qualify | did not qualify row 4 : 2001 | 4 | usl pdl | 5th, rocky mountain | did not qualify | did not qualify row 5 : 2002 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify row 6 : 2003 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify row 7 : 2004 | 4 | usl pdl | 6th, heartland | did not qualify | did not qualify row 8 : 2005 | 4 | usl pdl | 3rd, heartland | did not qualify | did not qualify row 9 : 2006 | 4 | usl pdl | 3rd, heartland | did not qualify | did not qualify row 10 : 2007 | 4 | usl pdl | 3rd, heartland | did not qualify | 1st round row 11 : 2008 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify row 12 : 2009 | 4 | usl pdl | 6th, heartland | did not qualify | did not qualify row 13 : 2010 | 4 | usl pdl | 7th, heartland | did not qualify | did not qualify row 14 : 2011 | 4 | usl pdl | 4th, heartland | did not qualify | did not qualify row 15 : 2012 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify row 16 : 2013 | 4 | usl pdl | 4th, heartland | did not qualify | did not qualify | col : open cup row 1 : 1st round | select open cup where league = 'usisl pdsl' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & division & league & regular season & playoffs & open cup \\
\midrule
0 & 1998 & 4 & usisl pdsl & 4th, central & division finals & 1st round \\
1 & 1999 & 4 & usl pdl & 5th, heartland & did not qualify & did not qualify \\
2 & 2000 & 4 & usl pdl & 4th, rocky mountain & did not qualify & did not qualify \\
3 & 2001 & 4 & usl pdl & 5th, rocky mountain & did not qualify & did not qualify \\
4 & 2002 & 4 & usl pdl & 5th, heartland & did not qualify & did not qualify \\
5 & 2003 & 4 & usl pdl & 5th, heartland & did not qualify & did not qualify \\
6 & 2004 & 4 & usl pdl & 6th, heartland & did not qualify & did not qualify \\
7 & 2005 & 4 & usl pdl & 3rd, heartland & did not qualify & did not qualify \\
8 & 2006 & 4 & usl pdl & 3rd, heartland & did not qualify & did not qualify \\
9 & 2007 & 4 & usl pdl & 3rd, heartland & did not qualify & 1st round \\
10 & 2008 & 4 & usl pdl & 5th, heartland & did not qualify & did not qualify \\
11 & 2009 & 4 & usl pdl & 6th, heartland & did not qualify & did not qualify \\
12 & 2010 & 4 & usl pdl & 7th, heartland & did not qualify & did not qualify \\
13 & 2011 & 4 & usl pdl & 4th, heartland & did not qualify & did not qualify \\
14 & 2012 & 4 & usl pdl & 5th, heartland & did not qualify & did not qualify \\
15 & 2013 & 4 & usl pdl & 4th, heartland & did not qualify & did not qualify \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& open cup \\
\midrule
0 & 1st round \\
\bottomrule
\end{tabular}
| select open cup where league = 'usisl pdsl' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>division</th>
<th>league</th>
<th>regular season</th>
<th>playoffs</th>
<th>open cup</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1998</td>
<td>4</td>
<td>usisl pdsl</td>
<td>4th, central</td>
<td>division finals</td>
<td>1st round</td>
</tr>
<tr>
<th>1</th>
<td>1999</td>
<td>4</td>
<td>usl pdl</td>
<td>5th, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>2</th>
<td>2000</td>
<td>4</td>
<td>usl pdl</td>
<td>4th, rocky mountain</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>3</th>
<td>2001</td>
<td>4</td>
<td>usl pdl</td>
<td>5th, rocky mountain</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>4</th>
<td>2002</td>
<td>4</td>
<td>usl pdl</td>
<td>5th, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>5</th>
<td>2003</td>
<td>4</td>
<td>usl pdl</td>
<td>5th, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>6</th>
<td>2004</td>
<td>4</td>
<td>usl pdl</td>
<td>6th, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>7</th>
<td>2005</td>
<td>4</td>
<td>usl pdl</td>
<td>3rd, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>8</th>
<td>2006</td>
<td>4</td>
<td>usl pdl</td>
<td>3rd, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>9</th>
<td>2007</td>
<td>4</td>
<td>usl pdl</td>
<td>3rd, heartland</td>
<td>did not qualify</td>
<td>1st round</td>
</tr>
<tr>
<th>10</th>
<td>2008</td>
<td>4</td>
<td>usl pdl</td>
<td>5th, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>11</th>
<td>2009</td>
<td>4</td>
<td>usl pdl</td>
<td>6th, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>12</th>
<td>2010</td>
<td>4</td>
<td>usl pdl</td>
<td>7th, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>13</th>
<td>2011</td>
<td>4</td>
<td>usl pdl</td>
<td>4th, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>14</th>
<td>2012</td>
<td>4</td>
<td>usl pdl</td>
<td>5th, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>15</th>
<td>2013</td>
<td>4</td>
<td>usl pdl</td>
<td>4th, heartland</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>open cup</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1st round</td>
</tr>
</tbody>
</table> | select open cup where league = 'usisl pdsl' <table_name> : table | | year | division | league | regular season | playoffs | open cup |
|---:|-------:|-----------:|:-----------|:--------------------|:----------------|:----------------|
| 0 | 1998 | 4 | usisl pdsl | 4th, central | division finals | 1st round |
| 1 | 1999 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify |
| 2 | 2000 | 4 | usl pdl | 4th, rocky mountain | did not qualify | did not qualify |
| 3 | 2001 | 4 | usl pdl | 5th, rocky mountain | did not qualify | did not qualify |
| 4 | 2002 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify |
| 5 | 2003 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify |
| 6 | 2004 | 4 | usl pdl | 6th, heartland | did not qualify | did not qualify |
| 7 | 2005 | 4 | usl pdl | 3rd, heartland | did not qualify | did not qualify |
| 8 | 2006 | 4 | usl pdl | 3rd, heartland | did not qualify | did not qualify |
| 9 | 2007 | 4 | usl pdl | 3rd, heartland | did not qualify | 1st round |
| 10 | 2008 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify |
| 11 | 2009 | 4 | usl pdl | 6th, heartland | did not qualify | did not qualify |
| 12 | 2010 | 4 | usl pdl | 7th, heartland | did not qualify | did not qualify |
| 13 | 2011 | 4 | usl pdl | 4th, heartland | did not qualify | did not qualify |
| 14 | 2012 | 4 | usl pdl | 5th, heartland | did not qualify | did not qualify |
| 15 | 2013 | 4 | usl pdl | 4th, heartland | did not qualify | did not qualify | | | | open cup |
|---:|:-----------|
| 0 | 1st round | | [
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select call-sign where psip = '39.2' and rf = 39 col : call-sign | location | rf | psip | programming row 1 : wivm-ld | canton | 39 | 39.1 | rtv row 2 : wivm-ld | canton | 39 | 39.2 | tuff tv row 3 : wivm-ld | canton | 39 | 39.3 | pbj row 4 : wivm-ld | canton | 39 | 39.4 | faith ministries radio (wjee-fm 90.1 / wjdd-fm 90.9, audio-only) row 5 : wivn-ld | newcomerstown | 29 | 29.1 | rtv (wivm-ld simulcast) row 6 : wivn-ld | newcomerstown | 29 | 29.2 | pbj row 7 : wivn-ld | newcomerstown | 29 | 29.3 | tuff tv row 8 : wivn-ld | newcomerstown | 29 | 29.4 | faith ministries radio (wjee-fm 90.1 / wjdd-fm 90.9, audio-only) row 9 : wivx-ld | loudonville | 51 | 51.1 | rtv (wivm-ld simulcast) row 10 : wivd-ld | newcomerstown | 22 | 22.1 | rtv (wivm-ld simulcast) row 11 : w27dg-d | millersburg | 27 | 27.1 | rtv (wivm-ld simulcast) | col : call-sign row 1 : wivm-ld | select call-sign where psip = '39.2' and rf = 39 <table_name> : table \begin{tabular}{llllll}
\toprule
& call-sign & location & rf & psip & programming \\
\midrule
0 & wivm-ld & canton & 39 & 39.1 & rtv \\
1 & wivm-ld & canton & 39 & 39.2 & tuff tv \\
2 & wivm-ld & canton & 39 & 39.3 & pbj \\
3 & wivm-ld & canton & 39 & 39.4 & faith ministries radio (wjee-fm 90.1 / wjdd-fm 90.9, audio-only) \\
4 & wivn-ld & newcomerstown & 29 & 29.1 & rtv (wivm-ld simulcast) \\
5 & wivn-ld & newcomerstown & 29 & 29.2 & pbj \\
6 & wivn-ld & newcomerstown & 29 & 29.3 & tuff tv \\
7 & wivn-ld & newcomerstown & 29 & 29.4 & faith ministries radio (wjee-fm 90.1 / wjdd-fm 90.9, audio-only) \\
8 & wivx-ld & loudonville & 51 & 51.1 & rtv (wivm-ld simulcast) \\
9 & wivd-ld & newcomerstown & 22 & 22.1 & rtv (wivm-ld simulcast) \\
10 & w27dg-d & millersburg & 27 & 27.1 & rtv (wivm-ld simulcast) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& call-sign \\
\midrule
0 & wivm-ld \\
\bottomrule
\end{tabular}
| select call-sign where psip = '39.2' and rf = 39 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>call-sign</th>
<th>location</th>
<th>rf</th>
<th>psip</th>
<th>programming</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>wivm-ld</td>
<td>canton</td>
<td>39</td>
<td>39.1</td>
<td>rtv</td>
</tr>
<tr>
<th>1</th>
<td>wivm-ld</td>
<td>canton</td>
<td>39</td>
<td>39.2</td>
<td>tuff tv</td>
</tr>
<tr>
<th>2</th>
<td>wivm-ld</td>
<td>canton</td>
<td>39</td>
<td>39.3</td>
<td>pbj</td>
</tr>
<tr>
<th>3</th>
<td>wivm-ld</td>
<td>canton</td>
<td>39</td>
<td>39.4</td>
<td>faith ministries radio (wjee-fm 90.1 / wjdd-fm 90.9, audio-only)</td>
</tr>
<tr>
<th>4</th>
<td>wivn-ld</td>
<td>newcomerstown</td>
<td>29</td>
<td>29.1</td>
<td>rtv (wivm-ld simulcast)</td>
</tr>
<tr>
<th>5</th>
<td>wivn-ld</td>
<td>newcomerstown</td>
<td>29</td>
<td>29.2</td>
<td>pbj</td>
</tr>
<tr>
<th>6</th>
<td>wivn-ld</td>
<td>newcomerstown</td>
<td>29</td>
<td>29.3</td>
<td>tuff tv</td>
</tr>
<tr>
<th>7</th>
<td>wivn-ld</td>
<td>newcomerstown</td>
<td>29</td>
<td>29.4</td>
<td>faith ministries radio (wjee-fm 90.1 / wjdd-fm 90.9, audio-only)</td>
</tr>
<tr>
<th>8</th>
<td>wivx-ld</td>
<td>loudonville</td>
<td>51</td>
<td>51.1</td>
<td>rtv (wivm-ld simulcast)</td>
</tr>
<tr>
<th>9</th>
<td>wivd-ld</td>
<td>newcomerstown</td>
<td>22</td>
<td>22.1</td>
<td>rtv (wivm-ld simulcast)</td>
</tr>
<tr>
<th>10</th>
<td>w27dg-d</td>
<td>millersburg</td>
<td>27</td>
<td>27.1</td>
<td>rtv (wivm-ld simulcast)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>call-sign</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>wivm-ld</td>
</tr>
</tbody>
</table> | select call-sign where psip = '39.2' and rf = 39 <table_name> : table | | call-sign | location | rf | psip | programming |
|---:|:------------|:--------------|-----:|-------:|:-----------------------------------------------------------------|
| 0 | wivm-ld | canton | 39 | 39.1 | rtv |
| 1 | wivm-ld | canton | 39 | 39.2 | tuff tv |
| 2 | wivm-ld | canton | 39 | 39.3 | pbj |
| 3 | wivm-ld | canton | 39 | 39.4 | faith ministries radio (wjee-fm 90.1 / wjdd-fm 90.9, audio-only) |
| 4 | wivn-ld | newcomerstown | 29 | 29.1 | rtv (wivm-ld simulcast) |
| 5 | wivn-ld | newcomerstown | 29 | 29.2 | pbj |
| 6 | wivn-ld | newcomerstown | 29 | 29.3 | tuff tv |
| 7 | wivn-ld | newcomerstown | 29 | 29.4 | faith ministries radio (wjee-fm 90.1 / wjdd-fm 90.9, audio-only) |
| 8 | wivx-ld | loudonville | 51 | 51.1 | rtv (wivm-ld simulcast) |
| 9 | wivd-ld | newcomerstown | 22 | 22.1 | rtv (wivm-ld simulcast) |
| 10 | w27dg-d | millersburg | 27 | 27.1 | rtv (wivm-ld simulcast) | | | | call-sign |
|---:|:------------|
| 0 | wivm-ld | | [
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select count ( * ) where ship = 'issac m. scott' and lake > 3 col : ship | type of vessel | lake | location | lives lost row 1 : argus | steamer | lake huron | 25 miles off kincardine, ontario | 25 lost row 2 : james carruthers | steamer | lake huron | near kincardine | 18 lost row 3 : hydrus | steamer | lake huron | near lexington, michigan | 28 lost row 4 : leafield | steamer | lake superior | none | all hands row 5 : john a. mcgean | steamer | lake huron | near goderich, ontario | 28 lost row 6 : plymouth | barge | lake michigan | none | 7 lost row 7 : charles s. price | steamer | lake huron | near port huron, michigan | 28 lost row 8 : regina | steamer | lake huron | near harbor beach, michigan | none row 9 : issac m. scott | steamer | lake huron | near port elgin, ontario | 28 lost row 10 : henry b. smith | steamer | lake superior | none | all hands row 11 : wexford | steamer | lake huron | north of grand bend, ontario | all hands row 12 : lightship no. 82 | lightship | lake erie | point albino (near buffalo) | 6 lost | col : count ( "*" ) row 1 : 1 | select count ( * ) where ship = 'issac m. scott' and lake > 3 <table_name> : table \begin{tabular}{llllll}
\toprule
& ship & type of vessel & lake & location & lives lost \\
\midrule
0 & argus & steamer & lake huron & 25 miles off kincardine, ontario & 25 lost \\
1 & james carruthers & steamer & lake huron & near kincardine & 18 lost \\
2 & hydrus & steamer & lake huron & near lexington, michigan & 28 lost \\
3 & leafield & steamer & lake superior & none & all hands \\
4 & john a. mcgean & steamer & lake huron & near goderich, ontario & 28 lost \\
5 & plymouth & barge & lake michigan & none & 7 lost \\
6 & charles s. price & steamer & lake huron & near port huron, michigan & 28 lost \\
7 & regina & steamer & lake huron & near harbor beach, michigan & none \\
8 & issac m. scott & steamer & lake huron & near port elgin, ontario & 28 lost \\
9 & henry b. smith & steamer & lake superior & none & all hands \\
10 & wexford & steamer & lake huron & north of grand bend, ontario & all hands \\
11 & lightship no. 82 & lightship & lake erie & point albino (near buffalo) & 6 lost \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where ship = 'issac m. scott' and lake > 3 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>ship</th>
<th>type of vessel</th>
<th>lake</th>
<th>location</th>
<th>lives lost</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>argus</td>
<td>steamer</td>
<td>lake huron</td>
<td>25 miles off kincardine, ontario</td>
<td>25 lost</td>
</tr>
<tr>
<th>1</th>
<td>james carruthers</td>
<td>steamer</td>
<td>lake huron</td>
<td>near kincardine</td>
<td>18 lost</td>
</tr>
<tr>
<th>2</th>
<td>hydrus</td>
<td>steamer</td>
<td>lake huron</td>
<td>near lexington, michigan</td>
<td>28 lost</td>
</tr>
<tr>
<th>3</th>
<td>leafield</td>
<td>steamer</td>
<td>lake superior</td>
<td>none</td>
<td>all hands</td>
</tr>
<tr>
<th>4</th>
<td>john a. mcgean</td>
<td>steamer</td>
<td>lake huron</td>
<td>near goderich, ontario</td>
<td>28 lost</td>
</tr>
<tr>
<th>5</th>
<td>plymouth</td>
<td>barge</td>
<td>lake michigan</td>
<td>none</td>
<td>7 lost</td>
</tr>
<tr>
<th>6</th>
<td>charles s. price</td>
<td>steamer</td>
<td>lake huron</td>
<td>near port huron, michigan</td>
<td>28 lost</td>
</tr>
<tr>
<th>7</th>
<td>regina</td>
<td>steamer</td>
<td>lake huron</td>
<td>near harbor beach, michigan</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>issac m. scott</td>
<td>steamer</td>
<td>lake huron</td>
<td>near port elgin, ontario</td>
<td>28 lost</td>
</tr>
<tr>
<th>9</th>
<td>henry b. smith</td>
<td>steamer</td>
<td>lake superior</td>
<td>none</td>
<td>all hands</td>
</tr>
<tr>
<th>10</th>
<td>wexford</td>
<td>steamer</td>
<td>lake huron</td>
<td>north of grand bend, ontario</td>
<td>all hands</td>
</tr>
<tr>
<th>11</th>
<td>lightship no. 82</td>
<td>lightship</td>
<td>lake erie</td>
<td>point albino (near buffalo)</td>
<td>6 lost</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where ship = 'issac m. scott' and lake > 3 <table_name> : table | | ship | type of vessel | lake | location | lives lost |
|---:|:-----------------|:-----------------|:--------------|:---------------------------------|:-------------|
| 0 | argus | steamer | lake huron | 25 miles off kincardine, ontario | 25 lost |
| 1 | james carruthers | steamer | lake huron | near kincardine | 18 lost |
| 2 | hydrus | steamer | lake huron | near lexington, michigan | 28 lost |
| 3 | leafield | steamer | lake superior | none | all hands |
| 4 | john a. mcgean | steamer | lake huron | near goderich, ontario | 28 lost |
| 5 | plymouth | barge | lake michigan | none | 7 lost |
| 6 | charles s. price | steamer | lake huron | near port huron, michigan | 28 lost |
| 7 | regina | steamer | lake huron | near harbor beach, michigan | none |
| 8 | issac m. scott | steamer | lake huron | near port elgin, ontario | 28 lost |
| 9 | henry b. smith | steamer | lake superior | none | all hands |
| 10 | wexford | steamer | lake huron | north of grand bend, ontario | all hands |
| 11 | lightship no. 82 | lightship | lake erie | point albino (near buffalo) | 6 lost | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select goal where date = '28 march 2009' col : goal | date | venue | opponent | score | result | competition row 1 : 1 | 2007-01-24 00:00:00 | estadio cuscatlan, san salvador, el salvador | denmark | 1-0 | 1-0 | friendly row 2 : 2 | 2007-02-08 00:00:00 | estadio cuscatlan, san salvador, el salvador | belize | 2-0 | 2-1 | 2007 uncaf nations cup row 3 : 3 | 2007-02-10 00:00:00 | estadio cuscatlan, san salvador, el salvador | nicaragua | 1-0 | 2-1 | 2007 uncaf nations cup row 4 : 4 | 2007-02-10 00:00:00 | estadio cuscatlan, san salvador, el salvador | nicaragua | 2-1 | 2-1 | 2007 uncaf nations cup row 5 : 5 | 2007-09-08 00:00:00 | estadio olimpico atahualpa, quito, ecuador | ecuador | 1-2 | 1-5 | friendly row 6 : 6 | 2007-10-13 00:00:00 | estadio cuscatlan, san salvador, el salvador | costa rica | 1-2 | 2-2 | friendly row 7 : 7 | 2008-02-06 00:00:00 | estadio cuscatlan, san salvador, el salvador | anguilla | 9-0 | 12-0 | 2010 fifa world cup qualification row 8 : 8 | 2008-06-22 00:00:00 | estadio cuscatlan, san salvador, el salvador | panama | 1-1 | 3-1 | 2010 fifa world cup qualification row 9 : 9 | 2008-06-22 00:00:00 | estadio cuscatlan, san salvador, el salvador | panama | 2-1 | 3-1 | 2010 fifa world cup qualification row 10 : 10 | 2008-10-15 00:00:00 | estadio cuscatlan, san salvador, el salvador | suriname | 2-0 | 3-0 | 2010 fifa world cup qualification row 11 : 11 | 2008-10-22 00:00:00 | robert f. kennedy stadium, washington, d.c., united states | bolivia | 1-0 | 2-0 | friendly row 12 : 12 | 2009-03-28 00:00:00 | estadio cuscatlan, san salvador, el salvador | united states | 1-0 | 2-2 | 2010 fifa world cup qualification row 13 : 13 | 2009-06-06 00:00:00 | estadio cuscatlan, san salvador, el salvador | mexico | 2-1 | 2-1 | 2010 fifa world cup qualification row 14 : 14 | 2010-03-03 00:00:00 | los angeles coliseum, los angeles, united states | guatemala | 2-1 | 2-1 | friendly row 15 : 15 | 2011-06-12 00:00:00 | soldier field, chicago, united states | cuba | 6-1 | 6-1 | 2011 concacaf gold cup | col : goal row 1 : 12 | select goal where date = '28 march 2009' <table_name> : table \begin{tabular}{llllllll}
\toprule
& goal & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 2007-01-24 00:00:00 & estadio cuscatlan, san salvador, el salvador & denmark & 1-0 & 1-0 & friendly \\
1 & 2 & 2007-02-08 00:00:00 & estadio cuscatlan, san salvador, el salvador & belize & 2-0 & 2-1 & 2007 uncaf nations cup \\
2 & 3 & 2007-02-10 00:00:00 & estadio cuscatlan, san salvador, el salvador & nicaragua & 1-0 & 2-1 & 2007 uncaf nations cup \\
3 & 4 & 2007-02-10 00:00:00 & estadio cuscatlan, san salvador, el salvador & nicaragua & 2-1 & 2-1 & 2007 uncaf nations cup \\
4 & 5 & 2007-09-08 00:00:00 & estadio olimpico atahualpa, quito, ecuador & ecuador & 1-2 & 1-5 & friendly \\
5 & 6 & 2007-10-13 00:00:00 & estadio cuscatlan, san salvador, el salvador & costa rica & 1-2 & 2-2 & friendly \\
6 & 7 & 2008-02-06 00:00:00 & estadio cuscatlan, san salvador, el salvador & anguilla & 9-0 & 12-0 & 2010 fifa world cup qualification \\
7 & 8 & 2008-06-22 00:00:00 & estadio cuscatlan, san salvador, el salvador & panama & 1-1 & 3-1 & 2010 fifa world cup qualification \\
8 & 9 & 2008-06-22 00:00:00 & estadio cuscatlan, san salvador, el salvador & panama & 2-1 & 3-1 & 2010 fifa world cup qualification \\
9 & 10 & 2008-10-15 00:00:00 & estadio cuscatlan, san salvador, el salvador & suriname & 2-0 & 3-0 & 2010 fifa world cup qualification \\
10 & 11 & 2008-10-22 00:00:00 & robert f. kennedy stadium, washington, d.c., united states & bolivia & 1-0 & 2-0 & friendly \\
11 & 12 & 2009-03-28 00:00:00 & estadio cuscatlan, san salvador, el salvador & united states & 1-0 & 2-2 & 2010 fifa world cup qualification \\
12 & 13 & 2009-06-06 00:00:00 & estadio cuscatlan, san salvador, el salvador & mexico & 2-1 & 2-1 & 2010 fifa world cup qualification \\
13 & 14 & 2010-03-03 00:00:00 & los angeles coliseum, los angeles, united states & guatemala & 2-1 & 2-1 & friendly \\
14 & 15 & 2011-06-12 00:00:00 & soldier field, chicago, united states & cuba & 6-1 & 6-1 & 2011 concacaf gold cup \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& goal \\
\midrule
0 & 12 \\
\bottomrule
\end{tabular}
| select goal where date = '28 march 2009' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>goal</th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2007-01-24 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>denmark</td>
<td>1-0</td>
<td>1-0</td>
<td>friendly</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2007-02-08 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>belize</td>
<td>2-0</td>
<td>2-1</td>
<td>2007 uncaf nations cup</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2007-02-10 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>nicaragua</td>
<td>1-0</td>
<td>2-1</td>
<td>2007 uncaf nations cup</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2007-02-10 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>nicaragua</td>
<td>2-1</td>
<td>2-1</td>
<td>2007 uncaf nations cup</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2007-09-08 00:00:00</td>
<td>estadio olimpico atahualpa, quito, ecuador</td>
<td>ecuador</td>
<td>1-2</td>
<td>1-5</td>
<td>friendly</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2007-10-13 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>costa rica</td>
<td>1-2</td>
<td>2-2</td>
<td>friendly</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2008-02-06 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>anguilla</td>
<td>9-0</td>
<td>12-0</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2008-06-22 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>panama</td>
<td>1-1</td>
<td>3-1</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2008-06-22 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>panama</td>
<td>2-1</td>
<td>3-1</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2008-10-15 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>suriname</td>
<td>2-0</td>
<td>3-0</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2008-10-22 00:00:00</td>
<td>robert f. kennedy stadium, washington, d.c., united states</td>
<td>bolivia</td>
<td>1-0</td>
<td>2-0</td>
<td>friendly</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>2009-03-28 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>united states</td>
<td>1-0</td>
<td>2-2</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>2009-06-06 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>mexico</td>
<td>2-1</td>
<td>2-1</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>2010-03-03 00:00:00</td>
<td>los angeles coliseum, los angeles, united states</td>
<td>guatemala</td>
<td>2-1</td>
<td>2-1</td>
<td>friendly</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>2011-06-12 00:00:00</td>
<td>soldier field, chicago, united states</td>
<td>cuba</td>
<td>6-1</td>
<td>6-1</td>
<td>2011 concacaf gold cup</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>goal</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>12</td>
</tr>
</tbody>
</table> | select goal where date = '28 march 2009' <table_name> : table | | goal | date | venue | opponent | score | result | competition |
|---:|-------:|:--------------------|:-----------------------------------------------------------|:--------------|:--------|:---------|:----------------------------------|
| 0 | 1 | 2007-01-24 00:00:00 | estadio cuscatlan, san salvador, el salvador | denmark | 1-0 | 1-0 | friendly |
| 1 | 2 | 2007-02-08 00:00:00 | estadio cuscatlan, san salvador, el salvador | belize | 2-0 | 2-1 | 2007 uncaf nations cup |
| 2 | 3 | 2007-02-10 00:00:00 | estadio cuscatlan, san salvador, el salvador | nicaragua | 1-0 | 2-1 | 2007 uncaf nations cup |
| 3 | 4 | 2007-02-10 00:00:00 | estadio cuscatlan, san salvador, el salvador | nicaragua | 2-1 | 2-1 | 2007 uncaf nations cup |
| 4 | 5 | 2007-09-08 00:00:00 | estadio olimpico atahualpa, quito, ecuador | ecuador | 1-2 | 1-5 | friendly |
| 5 | 6 | 2007-10-13 00:00:00 | estadio cuscatlan, san salvador, el salvador | costa rica | 1-2 | 2-2 | friendly |
| 6 | 7 | 2008-02-06 00:00:00 | estadio cuscatlan, san salvador, el salvador | anguilla | 9-0 | 12-0 | 2010 fifa world cup qualification |
| 7 | 8 | 2008-06-22 00:00:00 | estadio cuscatlan, san salvador, el salvador | panama | 1-1 | 3-1 | 2010 fifa world cup qualification |
| 8 | 9 | 2008-06-22 00:00:00 | estadio cuscatlan, san salvador, el salvador | panama | 2-1 | 3-1 | 2010 fifa world cup qualification |
| 9 | 10 | 2008-10-15 00:00:00 | estadio cuscatlan, san salvador, el salvador | suriname | 2-0 | 3-0 | 2010 fifa world cup qualification |
| 10 | 11 | 2008-10-22 00:00:00 | robert f. kennedy stadium, washington, d.c., united states | bolivia | 1-0 | 2-0 | friendly |
| 11 | 12 | 2009-03-28 00:00:00 | estadio cuscatlan, san salvador, el salvador | united states | 1-0 | 2-2 | 2010 fifa world cup qualification |
| 12 | 13 | 2009-06-06 00:00:00 | estadio cuscatlan, san salvador, el salvador | mexico | 2-1 | 2-1 | 2010 fifa world cup qualification |
| 13 | 14 | 2010-03-03 00:00:00 | los angeles coliseum, los angeles, united states | guatemala | 2-1 | 2-1 | friendly |
| 14 | 15 | 2011-06-12 00:00:00 | soldier field, chicago, united states | cuba | 6-1 | 6-1 | 2011 concacaf gold cup | | | | goal |
|---:|-------:|
| 0 | 12 | | [
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select place where artist = 'pedro osorio s.a.r.l' order by points asc limit 1 col : draw | artist | song | points | place row 1 : 1 | gonzaga coutinho | "tema para um homem so" | 102 | 5th row 2 : 2 | pedro osorio s.a.r.l | "uma cancao comercial" | 123 | 3rd row 3 : 3 | concha | "qualquer dia, quem diria" | 78 | 6th row 4 : 4 | gabriela schaaf | "eu so quero" | 132 | 2nd row 5 : 5 | toze brito | "novo canto portugues" | 110 | 4th row 6 : 6 | teresa silva carvalho | "cantemos ate ser dia" | 52 | 9th row 7 : 7 | florencia | "o comboio do tua" | 63 | 8th row 8 : 8 | manuel jose soares | "quando chego a casa" | 76 | 7th row 9 : 9 | manuela bravo | "sobe, sobe, balao sobe" | 149 | 1st | col : place row 1 : 3rd | select place where artist = 'pedro osorio s.a.r.l' order by points asc limit 1 <table_name> : table \begin{tabular}{llllll}
\toprule
& draw & artist & song & points & place \\
\midrule
0 & 1 & gonzaga coutinho & "tema para um homem so" & 102 & 5th \\
1 & 2 & pedro osorio s.a.r.l & "uma cancao comercial" & 123 & 3rd \\
2 & 3 & concha & "qualquer dia, quem diria" & 78 & 6th \\
3 & 4 & gabriela schaaf & "eu so quero" & 132 & 2nd \\
4 & 5 & toze brito & "novo canto portugues" & 110 & 4th \\
5 & 6 & teresa silva carvalho & "cantemos ate ser dia" & 52 & 9th \\
6 & 7 & florencia & "o comboio do tua" & 63 & 8th \\
7 & 8 & manuel jose soares & "quando chego a casa" & 76 & 7th \\
8 & 9 & manuela bravo & "sobe, sobe, balao sobe" & 149 & 1st \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& place \\
\midrule
0 & 3rd \\
\bottomrule
\end{tabular}
| select place where artist = 'pedro osorio s.a.r.l' order by points asc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>draw</th>
<th>artist</th>
<th>song</th>
<th>points</th>
<th>place</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>gonzaga coutinho</td>
<td>"tema para um homem so"</td>
<td>102</td>
<td>5th</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>pedro osorio s.a.r.l</td>
<td>"uma cancao comercial"</td>
<td>123</td>
<td>3rd</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>concha</td>
<td>"qualquer dia, quem diria"</td>
<td>78</td>
<td>6th</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>gabriela schaaf</td>
<td>"eu so quero"</td>
<td>132</td>
<td>2nd</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>toze brito</td>
<td>"novo canto portugues"</td>
<td>110</td>
<td>4th</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>teresa silva carvalho</td>
<td>"cantemos ate ser dia"</td>
<td>52</td>
<td>9th</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>florencia</td>
<td>"o comboio do tua"</td>
<td>63</td>
<td>8th</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>manuel jose soares</td>
<td>"quando chego a casa"</td>
<td>76</td>
<td>7th</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>manuela bravo</td>
<td>"sobe, sobe, balao sobe"</td>
<td>149</td>
<td>1st</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>place</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3rd</td>
</tr>
</tbody>
</table> | select place where artist = 'pedro osorio s.a.r.l' order by points asc limit 1 <table_name> : table | | draw | artist | song | points | place |
|---:|-------:|:----------------------|:---------------------------|---------:|:--------|
| 0 | 1 | gonzaga coutinho | "tema para um homem so" | 102 | 5th |
| 1 | 2 | pedro osorio s.a.r.l | "uma cancao comercial" | 123 | 3rd |
| 2 | 3 | concha | "qualquer dia, quem diria" | 78 | 6th |
| 3 | 4 | gabriela schaaf | "eu so quero" | 132 | 2nd |
| 4 | 5 | toze brito | "novo canto portugues" | 110 | 4th |
| 5 | 6 | teresa silva carvalho | "cantemos ate ser dia" | 52 | 9th |
| 6 | 7 | florencia | "o comboio do tua" | 63 | 8th |
| 7 | 8 | manuel jose soares | "quando chego a casa" | 76 | 7th |
| 8 | 9 | manuela bravo | "sobe, sobe, balao sobe" | 149 | 1st | | | | place |
|---:|:--------|
| 0 | 3rd | | [
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select distinct distance where location > most leading laps col : rnd | date | location | laps | distance | time | speed (km/h) | winner | pole position | most leading laps | fastest race lap row 1 : 1 | january 24 | walt disney world speedway, florida | 200 | 200 mi (320 km) | 2'06:04.000 | 153.186 | tony stewart | tony stewart | tony stewart | kenny brack row 2 : 2 | march 22 | phoenix international raceway, arizona | 200 | 200 mi (320 km) | 2'02:18.735 | 157.888 | scott sharp | jeff ward | tony stewart | tony stewart row 3 : 3 | may 24 | indianapolis motor speedway, indiana | 200 | 500 mi (800 km) | 3'26:40.524 | 233.598 | eddie cheever | billy boat | eddie cheever | tony stewart row 4 : 4 | june 6 | texas motor speedway, texas | 208 | 312 mi (502 km) | 2'08:45.543 | 233.973 | billy boat | tony stewart | billy boat | tony stewart row 5 : 5 | june 28 | new hampshire international speedway, new hampshire | 200 | 211.6 mi (340.5 km) | 1'51:30.262 | 183.237 | tony stewart | billy boat | tony stewart | davey hamilton row 6 : 6 | july 19 | dover international speedway, delaware | 248 | 248 mi (399 km) | 2'29:49.262 | 159.833 | scott sharp | tony stewart | scott sharp | greg ray row 7 : 7 | july 25 | lowe's motor speedway, north carolina | 208 | 312 mi (502 km) | 1'58:10.555 | 254.926 | kenny brack | tony stewart | kenny brack | kenny brack row 8 : 8 | august 16 | pikes peak international raceway, colorado | 200 | 200 mi (320 km) | 1'29:52.649 | 214.866 | kenny brack | billy boat | jeff ward | jeff ward row 9 : 9 | august 29 | atlanta motor speedway, georgia | 200 | 312 mi (502 km) | 2'17:15.289 | 225.343 | kenny brack | billy boat | scott goodyear | billy boat row 10 : 10 | september 20 | texas motor speedway, texas | 208 | 312 mi (502 km) | 2'21:53.557 | 212.316 | john paul, jr | billy boat | tony stewart | jeff ward row 11 : 11 | october 11 | las vegas motor speedway, nevada | 208 | 312 mi (502 km) | 2'18:19.202 | 217.8 | arie luyendyk | billy boat | arie luyendyk | arie luyendyk | col : "distinct distance" row 1 : distinct distance row 2 : distinct distance row 3 : distinct distance row 4 : distinct distance row 5 : distinct distance row 6 : distinct distance | select distinct distance where location > most leading laps <table_name> : table \begin{tabular}{llllllllllll}
\toprule
& rnd & date & location & laps & distance & time & speed (km/h) & winner & pole position & most leading laps & fastest race lap \\
\midrule
0 & 1 & january 24 & walt disney world speedway, florida & 200 & 200 mi (320 km) & 2'06:04.000 & 153.186 & tony stewart & tony stewart & tony stewart & kenny brack \\
1 & 2 & march 22 & phoenix international raceway, arizona & 200 & 200 mi (320 km) & 2'02:18.735 & 157.888 & scott sharp & jeff ward & tony stewart & tony stewart \\
2 & 3 & may 24 & indianapolis motor speedway, indiana & 200 & 500 mi (800 km) & 3'26:40.524 & 233.598 & eddie cheever & billy boat & eddie cheever & tony stewart \\
3 & 4 & june 6 & texas motor speedway, texas & 208 & 312 mi (502 km) & 2'08:45.543 & 233.973 & billy boat & tony stewart & billy boat & tony stewart \\
4 & 5 & june 28 & new hampshire international speedway, new hampshire & 200 & 211.6 mi (340.5 km) & 1'51:30.262 & 183.237 & tony stewart & billy boat & tony stewart & davey hamilton \\
5 & 6 & july 19 & dover international speedway, delaware & 248 & 248 mi (399 km) & 2'29:49.262 & 159.833 & scott sharp & tony stewart & scott sharp & greg ray \\
6 & 7 & july 25 & lowe's motor speedway, north carolina & 208 & 312 mi (502 km) & 1'58:10.555 & 254.926 & kenny brack & tony stewart & kenny brack & kenny brack \\
7 & 8 & august 16 & pikes peak international raceway, colorado & 200 & 200 mi (320 km) & 1'29:52.649 & 214.866 & kenny brack & billy boat & jeff ward & jeff ward \\
8 & 9 & august 29 & atlanta motor speedway, georgia & 200 & 312 mi (502 km) & 2'17:15.289 & 225.343 & kenny brack & billy boat & scott goodyear & billy boat \\
9 & 10 & september 20 & texas motor speedway, texas & 208 & 312 mi (502 km) & 2'21:53.557 & 212.316 & john paul, jr & billy boat & tony stewart & jeff ward \\
10 & 11 & october 11 & las vegas motor speedway, nevada & 208 & 312 mi (502 km) & 2'18:19.202 & 217.8 & arie luyendyk & billy boat & arie luyendyk & arie luyendyk \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "distinct distance" \\
\midrule
0 & distinct distance \\
1 & distinct distance \\
2 & distinct distance \\
3 & distinct distance \\
4 & distinct distance \\
5 & distinct distance \\
\bottomrule
\end{tabular}
| select distinct distance where location > most leading laps <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rnd</th>
<th>date</th>
<th>location</th>
<th>laps</th>
<th>distance</th>
<th>time</th>
<th>speed (km/h)</th>
<th>winner</th>
<th>pole position</th>
<th>most leading laps</th>
<th>fastest race lap</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>january 24</td>
<td>walt disney world speedway, florida</td>
<td>200</td>
<td>200 mi (320 km)</td>
<td>2'06:04.000</td>
<td>153.186</td>
<td>tony stewart</td>
<td>tony stewart</td>
<td>tony stewart</td>
<td>kenny brack</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>march 22</td>
<td>phoenix international raceway, arizona</td>
<td>200</td>
<td>200 mi (320 km)</td>
<td>2'02:18.735</td>
<td>157.888</td>
<td>scott sharp</td>
<td>jeff ward</td>
<td>tony stewart</td>
<td>tony stewart</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>may 24</td>
<td>indianapolis motor speedway, indiana</td>
<td>200</td>
<td>500 mi (800 km)</td>
<td>3'26:40.524</td>
<td>233.598</td>
<td>eddie cheever</td>
<td>billy boat</td>
<td>eddie cheever</td>
<td>tony stewart</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>june 6</td>
<td>texas motor speedway, texas</td>
<td>208</td>
<td>312 mi (502 km)</td>
<td>2'08:45.543</td>
<td>233.973</td>
<td>billy boat</td>
<td>tony stewart</td>
<td>billy boat</td>
<td>tony stewart</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>june 28</td>
<td>new hampshire international speedway, new hampshire</td>
<td>200</td>
<td>211.6 mi (340.5 km)</td>
<td>1'51:30.262</td>
<td>183.237</td>
<td>tony stewart</td>
<td>billy boat</td>
<td>tony stewart</td>
<td>davey hamilton</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>july 19</td>
<td>dover international speedway, delaware</td>
<td>248</td>
<td>248 mi (399 km)</td>
<td>2'29:49.262</td>
<td>159.833</td>
<td>scott sharp</td>
<td>tony stewart</td>
<td>scott sharp</td>
<td>greg ray</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>july 25</td>
<td>lowe's motor speedway, north carolina</td>
<td>208</td>
<td>312 mi (502 km)</td>
<td>1'58:10.555</td>
<td>254.926</td>
<td>kenny brack</td>
<td>tony stewart</td>
<td>kenny brack</td>
<td>kenny brack</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>august 16</td>
<td>pikes peak international raceway, colorado</td>
<td>200</td>
<td>200 mi (320 km)</td>
<td>1'29:52.649</td>
<td>214.866</td>
<td>kenny brack</td>
<td>billy boat</td>
<td>jeff ward</td>
<td>jeff ward</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>august 29</td>
<td>atlanta motor speedway, georgia</td>
<td>200</td>
<td>312 mi (502 km)</td>
<td>2'17:15.289</td>
<td>225.343</td>
<td>kenny brack</td>
<td>billy boat</td>
<td>scott goodyear</td>
<td>billy boat</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>september 20</td>
<td>texas motor speedway, texas</td>
<td>208</td>
<td>312 mi (502 km)</td>
<td>2'21:53.557</td>
<td>212.316</td>
<td>john paul, jr</td>
<td>billy boat</td>
<td>tony stewart</td>
<td>jeff ward</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>october 11</td>
<td>las vegas motor speedway, nevada</td>
<td>208</td>
<td>312 mi (502 km)</td>
<td>2'18:19.202</td>
<td>217.8</td>
<td>arie luyendyk</td>
<td>billy boat</td>
<td>arie luyendyk</td>
<td>arie luyendyk</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"distinct distance"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>distinct distance</td>
</tr>
<tr>
<th>1</th>
<td>distinct distance</td>
</tr>
<tr>
<th>2</th>
<td>distinct distance</td>
</tr>
<tr>
<th>3</th>
<td>distinct distance</td>
</tr>
<tr>
<th>4</th>
<td>distinct distance</td>
</tr>
<tr>
<th>5</th>
<td>distinct distance</td>
</tr>
</tbody>
</table> | select distinct distance where location > most leading laps <table_name> : table | | rnd | date | location | laps | distance | time | speed (km/h) | winner | pole position | most leading laps | fastest race lap |
|---:|------:|:-------------|:----------------------------------------------------|-------:|:--------------------|:------------|---------------:|:--------------|:----------------|:--------------------|:-------------------|
| 0 | 1 | january 24 | walt disney world speedway, florida | 200 | 200 mi (320 km) | 2'06:04.000 | 153.186 | tony stewart | tony stewart | tony stewart | kenny brack |
| 1 | 2 | march 22 | phoenix international raceway, arizona | 200 | 200 mi (320 km) | 2'02:18.735 | 157.888 | scott sharp | jeff ward | tony stewart | tony stewart |
| 2 | 3 | may 24 | indianapolis motor speedway, indiana | 200 | 500 mi (800 km) | 3'26:40.524 | 233.598 | eddie cheever | billy boat | eddie cheever | tony stewart |
| 3 | 4 | june 6 | texas motor speedway, texas | 208 | 312 mi (502 km) | 2'08:45.543 | 233.973 | billy boat | tony stewart | billy boat | tony stewart |
| 4 | 5 | june 28 | new hampshire international speedway, new hampshire | 200 | 211.6 mi (340.5 km) | 1'51:30.262 | 183.237 | tony stewart | billy boat | tony stewart | davey hamilton |
| 5 | 6 | july 19 | dover international speedway, delaware | 248 | 248 mi (399 km) | 2'29:49.262 | 159.833 | scott sharp | tony stewart | scott sharp | greg ray |
| 6 | 7 | july 25 | lowe's motor speedway, north carolina | 208 | 312 mi (502 km) | 1'58:10.555 | 254.926 | kenny brack | tony stewart | kenny brack | kenny brack |
| 7 | 8 | august 16 | pikes peak international raceway, colorado | 200 | 200 mi (320 km) | 1'29:52.649 | 214.866 | kenny brack | billy boat | jeff ward | jeff ward |
| 8 | 9 | august 29 | atlanta motor speedway, georgia | 200 | 312 mi (502 km) | 2'17:15.289 | 225.343 | kenny brack | billy boat | scott goodyear | billy boat |
| 9 | 10 | september 20 | texas motor speedway, texas | 208 | 312 mi (502 km) | 2'21:53.557 | 212.316 | john paul, jr | billy boat | tony stewart | jeff ward |
| 10 | 11 | october 11 | las vegas motor speedway, nevada | 208 | 312 mi (502 km) | 2'18:19.202 | 217.8 | arie luyendyk | billy boat | arie luyendyk | arie luyendyk | | | | "distinct distance" |
|---:|:----------------------|
| 0 | distinct distance |
| 1 | distinct distance |
| 2 | distinct distance |
| 3 | distinct distance |
| 4 | distinct distance |
| 5 | distinct distance | | [
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select league where finish = '8th' col : year | league | record | finish | manager | playoffs | notes row 1 : 1947 | sunset league | 69-69 | 4th | thomas lloyd | none | none row 2 : 1948 | sunset league | 77-63 | 3rd | thomas lloyd | league champs | none row 3 : 1949 | sunset league | 49-75 | 7th | lilio marcucci | none | none row 4 : 1950 | far west league | 75-63 | 3rd | joe borich | lost in 1st round | none row 5 : 1951 | far west league | 52-65 | 3rd | cotton pippen | none | none row 6 : 1955 | california league | 40-106 | 8th | leonard noren | none | channel cities moved to reno july 1 row 7 : 1956 | california league | 73-67 | 4th | ray perry | lost in 1st round | none row 8 : 1957 | california league | 79-59 | 2nd | ray perry | lost league finals | none row 9 : 1958 | california league | 68-69 | 6th | ray perry | none | none row 10 : 1959 | california league | 81-58 | 2nd | ray perry | none | none row 11 : 1960 | california league | 89-51 | 1st | tom saffell | league champs | none row 12 : 1961 | california league | 97-43 | 1st | roy smalley | league champs | none row 13 : 1962 | california league | 70-68 | 4th | roy smalley | lost league finals | none row 14 : 1963 | california league | 71-69 | 5th | tom saffell | none | none row 15 : 1964 | california league | 66-71 | 6th | tom saffell / harvey koepf | none | none row 16 : 1966 | california league | 69-71 | 4th (t) | phil cavarretta | none | none row 17 : 1967 | california league | 56-82 | 8th | phil cavarretta | none | none row 18 : 1968 | california league | 67-72 | 5th | clay bryant | none | none row 19 : 1969 | california league | 72-68 | 3rd (t) | ken aspromonte | none | none row 20 : 1970 | california league | 79-61 | 2nd | pinky may | none | none row 21 : 1971 | california league | 64-75 | 7th | pinky may | none | none row 22 : 1972 | california league | 50-88 | 8th | lou klimchock | none | none row 23 : 1973 | california league | 70-70 | 4th (t) | lou klimchock | none | none row 24 : 1974 | california league | 61-79 | 6th (t) | joe azcue / interim (june 29-july 3) / del youngblood | none | none row 25 : 1975 | california league | 86-54 | 1st | harry warner | league champs | none row 26 : 1976 | california league | 75-62 | 3rd | johnny goryl | league champs | none row 27 : 1977 | california league | 59-81 | 5th | glenn ezell | none | none row 28 : 1978 | california league | 62-78 | 5th | eddie watt | none | none row 29 : 1979 | california league | 74-67 | 3rd | eddie watt | none | none row 30 : 1980 | california league | 75-66 | 2nd (t) | jack maloof | none | none row 31 : 1981 | california league | 81-58 | 2nd | jack maloof | lost in 1st round | none row 32 : 1988 | california league | 39-103 | 10th | nate oliver | none | none row 33 : 1989 | california league | 68-74 | 6th | eli grba | none | none row 34 : 1990 | california league | 71-68 | 6th | mike brown | none | none row 35 : 1991 | california league | 59-77 | 7th | mal fichman | none | none row 36 : 1992 | california league | 65-71 | 8th | gary jones | none | none | col : league row 1 : california league row 2 : california league row 3 : california league row 4 : california league | select league where finish = '8th' <table_name> : table \begin{tabular}{llllllll}
\toprule
& year & league & record & finish & manager & playoffs & notes \\
\midrule
0 & 1947 & sunset league & 69-69 & 4th & thomas lloyd & none & none \\
1 & 1948 & sunset league & 77-63 & 3rd & thomas lloyd & league champs & none \\
2 & 1949 & sunset league & 49-75 & 7th & lilio marcucci & none & none \\
3 & 1950 & far west league & 75-63 & 3rd & joe borich & lost in 1st round & none \\
4 & 1951 & far west league & 52-65 & 3rd & cotton pippen & none & none \\
5 & 1955 & california league & 40-106 & 8th & leonard noren & none & channel cities moved to reno july 1 \\
6 & 1956 & california league & 73-67 & 4th & ray perry & lost in 1st round & none \\
7 & 1957 & california league & 79-59 & 2nd & ray perry & lost league finals & none \\
8 & 1958 & california league & 68-69 & 6th & ray perry & none & none \\
9 & 1959 & california league & 81-58 & 2nd & ray perry & none & none \\
10 & 1960 & california league & 89-51 & 1st & tom saffell & league champs & none \\
11 & 1961 & california league & 97-43 & 1st & roy smalley & league champs & none \\
12 & 1962 & california league & 70-68 & 4th & roy smalley & lost league finals & none \\
13 & 1963 & california league & 71-69 & 5th & tom saffell & none & none \\
14 & 1964 & california league & 66-71 & 6th & tom saffell / harvey koepf & none & none \\
15 & 1966 & california league & 69-71 & 4th (t) & phil cavarretta & none & none \\
16 & 1967 & california league & 56-82 & 8th & phil cavarretta & none & none \\
17 & 1968 & california league & 67-72 & 5th & clay bryant & none & none \\
18 & 1969 & california league & 72-68 & 3rd (t) & ken aspromonte & none & none \\
19 & 1970 & california league & 79-61 & 2nd & pinky may & none & none \\
20 & 1971 & california league & 64-75 & 7th & pinky may & none & none \\
21 & 1972 & california league & 50-88 & 8th & lou klimchock & none & none \\
22 & 1973 & california league & 70-70 & 4th (t) & lou klimchock & none & none \\
23 & 1974 & california league & 61-79 & 6th (t) & joe azcue / interim (june 29-july 3) / del youngblood & none & none \\
24 & 1975 & california league & 86-54 & 1st & harry warner & league champs & none \\
25 & 1976 & california league & 75-62 & 3rd & johnny goryl & league champs & none \\
26 & 1977 & california league & 59-81 & 5th & glenn ezell & none & none \\
27 & 1978 & california league & 62-78 & 5th & eddie watt & none & none \\
28 & 1979 & california league & 74-67 & 3rd & eddie watt & none & none \\
29 & 1980 & california league & 75-66 & 2nd (t) & jack maloof & none & none \\
30 & 1981 & california league & 81-58 & 2nd & jack maloof & lost in 1st round & none \\
31 & 1988 & california league & 39-103 & 10th & nate oliver & none & none \\
32 & 1989 & california league & 68-74 & 6th & eli grba & none & none \\
33 & 1990 & california league & 71-68 & 6th & mike brown & none & none \\
34 & 1991 & california league & 59-77 & 7th & mal fichman & none & none \\
35 & 1992 & california league & 65-71 & 8th & gary jones & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& league \\
\midrule
0 & california league \\
1 & california league \\
2 & california league \\
3 & california league \\
\bottomrule
\end{tabular}
| select league where finish = '8th' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>league</th>
<th>record</th>
<th>finish</th>
<th>manager</th>
<th>playoffs</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1947</td>
<td>sunset league</td>
<td>69-69</td>
<td>4th</td>
<td>thomas lloyd</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1948</td>
<td>sunset league</td>
<td>77-63</td>
<td>3rd</td>
<td>thomas lloyd</td>
<td>league champs</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1949</td>
<td>sunset league</td>
<td>49-75</td>
<td>7th</td>
<td>lilio marcucci</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1950</td>
<td>far west league</td>
<td>75-63</td>
<td>3rd</td>
<td>joe borich</td>
<td>lost in 1st round</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1951</td>
<td>far west league</td>
<td>52-65</td>
<td>3rd</td>
<td>cotton pippen</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1955</td>
<td>california league</td>
<td>40-106</td>
<td>8th</td>
<td>leonard noren</td>
<td>none</td>
<td>channel cities moved to reno july 1</td>
</tr>
<tr>
<th>6</th>
<td>1956</td>
<td>california league</td>
<td>73-67</td>
<td>4th</td>
<td>ray perry</td>
<td>lost in 1st round</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1957</td>
<td>california league</td>
<td>79-59</td>
<td>2nd</td>
<td>ray perry</td>
<td>lost league finals</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>1958</td>
<td>california league</td>
<td>68-69</td>
<td>6th</td>
<td>ray perry</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>1959</td>
<td>california league</td>
<td>81-58</td>
<td>2nd</td>
<td>ray perry</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>1960</td>
<td>california league</td>
<td>89-51</td>
<td>1st</td>
<td>tom saffell</td>
<td>league champs</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>1961</td>
<td>california league</td>
<td>97-43</td>
<td>1st</td>
<td>roy smalley</td>
<td>league champs</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>1962</td>
<td>california league</td>
<td>70-68</td>
<td>4th</td>
<td>roy smalley</td>
<td>lost league finals</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>1963</td>
<td>california league</td>
<td>71-69</td>
<td>5th</td>
<td>tom saffell</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>1964</td>
<td>california league</td>
<td>66-71</td>
<td>6th</td>
<td>tom saffell / harvey koepf</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>1966</td>
<td>california league</td>
<td>69-71</td>
<td>4th (t)</td>
<td>phil cavarretta</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>1967</td>
<td>california league</td>
<td>56-82</td>
<td>8th</td>
<td>phil cavarretta</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>1968</td>
<td>california league</td>
<td>67-72</td>
<td>5th</td>
<td>clay bryant</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>1969</td>
<td>california league</td>
<td>72-68</td>
<td>3rd (t)</td>
<td>ken aspromonte</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>1970</td>
<td>california league</td>
<td>79-61</td>
<td>2nd</td>
<td>pinky may</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>1971</td>
<td>california league</td>
<td>64-75</td>
<td>7th</td>
<td>pinky may</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>1972</td>
<td>california league</td>
<td>50-88</td>
<td>8th</td>
<td>lou klimchock</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>1973</td>
<td>california league</td>
<td>70-70</td>
<td>4th (t)</td>
<td>lou klimchock</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>1974</td>
<td>california league</td>
<td>61-79</td>
<td>6th (t)</td>
<td>joe azcue / interim (june 29-july 3) / del youngblood</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>1975</td>
<td>california league</td>
<td>86-54</td>
<td>1st</td>
<td>harry warner</td>
<td>league champs</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>1976</td>
<td>california league</td>
<td>75-62</td>
<td>3rd</td>
<td>johnny goryl</td>
<td>league champs</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>1977</td>
<td>california league</td>
<td>59-81</td>
<td>5th</td>
<td>glenn ezell</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>1978</td>
<td>california league</td>
<td>62-78</td>
<td>5th</td>
<td>eddie watt</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>1979</td>
<td>california league</td>
<td>74-67</td>
<td>3rd</td>
<td>eddie watt</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>1980</td>
<td>california league</td>
<td>75-66</td>
<td>2nd (t)</td>
<td>jack maloof</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>1981</td>
<td>california league</td>
<td>81-58</td>
<td>2nd</td>
<td>jack maloof</td>
<td>lost in 1st round</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>1988</td>
<td>california league</td>
<td>39-103</td>
<td>10th</td>
<td>nate oliver</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>32</th>
<td>1989</td>
<td>california league</td>
<td>68-74</td>
<td>6th</td>
<td>eli grba</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>1990</td>
<td>california league</td>
<td>71-68</td>
<td>6th</td>
<td>mike brown</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>34</th>
<td>1991</td>
<td>california league</td>
<td>59-77</td>
<td>7th</td>
<td>mal fichman</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>35</th>
<td>1992</td>
<td>california league</td>
<td>65-71</td>
<td>8th</td>
<td>gary jones</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>league</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>california league</td>
</tr>
<tr>
<th>1</th>
<td>california league</td>
</tr>
<tr>
<th>2</th>
<td>california league</td>
</tr>
<tr>
<th>3</th>
<td>california league</td>
</tr>
</tbody>
</table> | select league where finish = '8th' <table_name> : table | | year | league | record | finish | manager | playoffs | notes |
|---:|-------:|:------------------|:---------|:---------|:------------------------------------------------------|:-------------------|:------------------------------------|
| 0 | 1947 | sunset league | 69-69 | 4th | thomas lloyd | none | none |
| 1 | 1948 | sunset league | 77-63 | 3rd | thomas lloyd | league champs | none |
| 2 | 1949 | sunset league | 49-75 | 7th | lilio marcucci | none | none |
| 3 | 1950 | far west league | 75-63 | 3rd | joe borich | lost in 1st round | none |
| 4 | 1951 | far west league | 52-65 | 3rd | cotton pippen | none | none |
| 5 | 1955 | california league | 40-106 | 8th | leonard noren | none | channel cities moved to reno july 1 |
| 6 | 1956 | california league | 73-67 | 4th | ray perry | lost in 1st round | none |
| 7 | 1957 | california league | 79-59 | 2nd | ray perry | lost league finals | none |
| 8 | 1958 | california league | 68-69 | 6th | ray perry | none | none |
| 9 | 1959 | california league | 81-58 | 2nd | ray perry | none | none |
| 10 | 1960 | california league | 89-51 | 1st | tom saffell | league champs | none |
| 11 | 1961 | california league | 97-43 | 1st | roy smalley | league champs | none |
| 12 | 1962 | california league | 70-68 | 4th | roy smalley | lost league finals | none |
| 13 | 1963 | california league | 71-69 | 5th | tom saffell | none | none |
| 14 | 1964 | california league | 66-71 | 6th | tom saffell / harvey koepf | none | none |
| 15 | 1966 | california league | 69-71 | 4th (t) | phil cavarretta | none | none |
| 16 | 1967 | california league | 56-82 | 8th | phil cavarretta | none | none |
| 17 | 1968 | california league | 67-72 | 5th | clay bryant | none | none |
| 18 | 1969 | california league | 72-68 | 3rd (t) | ken aspromonte | none | none |
| 19 | 1970 | california league | 79-61 | 2nd | pinky may | none | none |
| 20 | 1971 | california league | 64-75 | 7th | pinky may | none | none |
| 21 | 1972 | california league | 50-88 | 8th | lou klimchock | none | none |
| 22 | 1973 | california league | 70-70 | 4th (t) | lou klimchock | none | none |
| 23 | 1974 | california league | 61-79 | 6th (t) | joe azcue / interim (june 29-july 3) / del youngblood | none | none |
| 24 | 1975 | california league | 86-54 | 1st | harry warner | league champs | none |
| 25 | 1976 | california league | 75-62 | 3rd | johnny goryl | league champs | none |
| 26 | 1977 | california league | 59-81 | 5th | glenn ezell | none | none |
| 27 | 1978 | california league | 62-78 | 5th | eddie watt | none | none |
| 28 | 1979 | california league | 74-67 | 3rd | eddie watt | none | none |
| 29 | 1980 | california league | 75-66 | 2nd (t) | jack maloof | none | none |
| 30 | 1981 | california league | 81-58 | 2nd | jack maloof | lost in 1st round | none |
| 31 | 1988 | california league | 39-103 | 10th | nate oliver | none | none |
| 32 | 1989 | california league | 68-74 | 6th | eli grba | none | none |
| 33 | 1990 | california league | 71-68 | 6th | mike brown | none | none |
| 34 | 1991 | california league | 59-77 | 7th | mal fichman | none | none |
| 35 | 1992 | california league | 65-71 | 8th | gary jones | none | none | | | | league |
|---:|:------------------|
| 0 | california league |
| 1 | california league |
| 2 | california league |
| 3 | california league | | [
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] |
select count ( * ) where division = '3a' col : season | tier | division | place row 1 : 1992-96 | 5 | regional | none row 2 : 1996/97 | 4 | 3a | 16th row 3 : 1997/98 | 4 | 3a | 5th row 4 : 1998/99 | 4 | 3a | 12th row 5 : 1999/00 | 4 | 3a | 4th row 6 : 2000/01 | 4 | 3a | 6th row 7 : 2001/02 | 4 | 3a | 4th row 8 : 2002/03 | 4 | 3a | 3rd row 9 : 2003/04 | 3 | 2ab | 19th row 10 : 2004/05 | 4 | 3a | 2nd | col : count ( "*" ) row 1 : 8 | select count ( * ) where division = '3a' <table_name> : table \begin{tabular}{lllll}
\toprule
& season & tier & division & place \\
\midrule
0 & 1992-96 & 5 & regional & none \\
1 & 1996/97 & 4 & 3a & 16th \\
2 & 1997/98 & 4 & 3a & 5th \\
3 & 1998/99 & 4 & 3a & 12th \\
4 & 1999/00 & 4 & 3a & 4th \\
5 & 2000/01 & 4 & 3a & 6th \\
6 & 2001/02 & 4 & 3a & 4th \\
7 & 2002/03 & 4 & 3a & 3rd \\
8 & 2003/04 & 3 & 2ab & 19th \\
9 & 2004/05 & 4 & 3a & 2nd \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 8 \\
\bottomrule
\end{tabular}
| select count ( * ) where division = '3a' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>tier</th>
<th>division</th>
<th>place</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1992-96</td>
<td>5</td>
<td>regional</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1996/97</td>
<td>4</td>
<td>3a</td>
<td>16th</td>
</tr>
<tr>
<th>2</th>
<td>1997/98</td>
<td>4</td>
<td>3a</td>
<td>5th</td>
</tr>
<tr>
<th>3</th>
<td>1998/99</td>
<td>4</td>
<td>3a</td>
<td>12th</td>
</tr>
<tr>
<th>4</th>
<td>1999/00</td>
<td>4</td>
<td>3a</td>
<td>4th</td>
</tr>
<tr>
<th>5</th>
<td>2000/01</td>
<td>4</td>
<td>3a</td>
<td>6th</td>
</tr>
<tr>
<th>6</th>
<td>2001/02</td>
<td>4</td>
<td>3a</td>
<td>4th</td>
</tr>
<tr>
<th>7</th>
<td>2002/03</td>
<td>4</td>
<td>3a</td>
<td>3rd</td>
</tr>
<tr>
<th>8</th>
<td>2003/04</td>
<td>3</td>
<td>2ab</td>
<td>19th</td>
</tr>
<tr>
<th>9</th>
<td>2004/05</td>
<td>4</td>
<td>3a</td>
<td>2nd</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>8</td>
</tr>
</tbody>
</table> | select count ( * ) where division = '3a' <table_name> : table | | season | tier | division | place |
|---:|:---------|-------:|:-----------|:--------|
| 0 | 1992-96 | 5 | regional | none |
| 1 | 1996/97 | 4 | 3a | 16th |
| 2 | 1997/98 | 4 | 3a | 5th |
| 3 | 1998/99 | 4 | 3a | 12th |
| 4 | 1999/00 | 4 | 3a | 4th |
| 5 | 2000/01 | 4 | 3a | 6th |
| 6 | 2001/02 | 4 | 3a | 4th |
| 7 | 2002/03 | 4 | 3a | 3rd |
| 8 | 2003/04 | 3 | 2ab | 19th |
| 9 | 2004/05 | 4 | 3a | 2nd | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 8 | | [
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select min ( formed ) where formed > 835 col : name | type | circle | bench | formed | notes row 1 : uberlingen | imperial city | swab | sw | 1268 | 1803: mediatized to baden row 2 : ulm | 1155: free imperial city | swab | sw | 1115 | 1803: mediatized to bavaria 1809: to wurttemberg row 3 : umpfenbach | lordship 1805: hre princely county | none | none | none | to trauttmansdorff row 4 : unterwalden | imperial valley | none | none | 1415 | division into nidwalden and obwalden 1173: to counts of habsburg 1291: nidwalden became a founding member of the swiss league 1324: immediate imperial fief (reichsunmittelbar) 1350s: division into obwalden and nidwalden 1648: left empire as member of swiss confederation row 5 : upper salm | 1163: county | none | none | 1170 | partitioned from salm 1499: raised to wild- and rhinegraves of salm 1574: divided into salm-salm and salm-grumbach row 6 : upper bavaria (oberbayern) | duchy | none | none | 1255 | none row 7 : upper schonburg | county | upp sax | none | 1569 | partitioned from schonburg 1800: partitioned into schonburg-hartenstein and schonburg-waldenburg row 8 : urach | county | none | none | none | 1060: 1st mention of urach 1080: 1st use of "count of urach" division of territory into achalm and urach 1218 egino i of urach inherited county of freiburg from zahringen 1261: counts of urach died out 1251-1265: ulrich i of wurttemberg acquired territories of counts of urach row 9 : uri | imperial valley | none | none | 1231 | split off from habsburg 1648: left empire as member of swiss confederation row 10 : ursberg | 1143: hre abbey | swab | none | none | 1803; secularized row 11 : utrecht | bishopric | burg | ec | 1024 | 1512: burgundian circle 1528: secularized to austria 1793: council of princes row 12 : uznach | county | none | none | none | none | col : min ( "formed" ) row 1 : none | select min ( formed ) where formed > 835 <table_name> : table \begin{tabular}{lllllll}
\toprule
& name & type & circle & bench & formed & notes \\
\midrule
0 & uberlingen & imperial city & swab & sw & 1268 & 1803: mediatized to baden \\
1 & ulm & 1155: free imperial city & swab & sw & 1115 & 1803: mediatized to bavaria 1809: to wurttemberg \\
2 & umpfenbach & lordship 1805: hre princely county & none & none & none & to trauttmansdorff \\
3 & unterwalden & imperial valley & none & none & 1415 & division into nidwalden and obwalden 1173: to counts of habsburg 1291: nidwalden became a founding member of the swiss league 1324: immediate imperial fief (reichsunmittelbar) 1350s: division into obwalden and nidwalden 1648: left empire as member of swiss confederation \\
4 & upper salm & 1163: county & none & none & 1170 & partitioned from salm 1499: raised to wild- and rhinegraves of salm 1574: divided into salm-salm and salm-grumbach \\
5 & upper bavaria (oberbayern) & duchy & none & none & 1255 & none \\
6 & upper schonburg & county & upp sax & none & 1569 & partitioned from schonburg 1800: partitioned into schonburg-hartenstein and schonburg-waldenburg \\
7 & urach & county & none & none & none & 1060: 1st mention of urach 1080: 1st use of "count of urach" division of territory into achalm and urach 1218 egino i of urach inherited county of freiburg from zahringen 1261: counts of urach died out 1251-1265: ulrich i of wurttemberg acquired territories of counts of urach \\
8 & uri & imperial valley & none & none & 1231 & split off from habsburg 1648: left empire as member of swiss confederation \\
9 & ursberg & 1143: hre abbey & swab & none & none & 1803; secularized \\
10 & utrecht & bishopric & burg & ec & 1024 & 1512: burgundian circle 1528: secularized to austria 1793: council of princes \\
11 & uznach & county & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& min ( "formed" ) \\
\midrule
0 & none \\
\bottomrule
\end{tabular}
| select min ( formed ) where formed > 835 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>type</th>
<th>circle</th>
<th>bench</th>
<th>formed</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>uberlingen</td>
<td>imperial city</td>
<td>swab</td>
<td>sw</td>
<td>1268</td>
<td>1803: mediatized to baden</td>
</tr>
<tr>
<th>1</th>
<td>ulm</td>
<td>1155: free imperial city</td>
<td>swab</td>
<td>sw</td>
<td>1115</td>
<td>1803: mediatized to bavaria 1809: to wurttemberg</td>
</tr>
<tr>
<th>2</th>
<td>umpfenbach</td>
<td>lordship 1805: hre princely county</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>to trauttmansdorff</td>
</tr>
<tr>
<th>3</th>
<td>unterwalden</td>
<td>imperial valley</td>
<td>none</td>
<td>none</td>
<td>1415</td>
<td>division into nidwalden and obwalden 1173: to counts of habsburg 1291: nidwalden became a founding member of the swiss league 1324: immediate imperial fief (reichsunmittelbar) 1350s: division into obwalden and nidwalden 1648: left empire as member of swiss confederation</td>
</tr>
<tr>
<th>4</th>
<td>upper salm</td>
<td>1163: county</td>
<td>none</td>
<td>none</td>
<td>1170</td>
<td>partitioned from salm 1499: raised to wild- and rhinegraves of salm 1574: divided into salm-salm and salm-grumbach</td>
</tr>
<tr>
<th>5</th>
<td>upper bavaria (oberbayern)</td>
<td>duchy</td>
<td>none</td>
<td>none</td>
<td>1255</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>upper schonburg</td>
<td>county</td>
<td>upp sax</td>
<td>none</td>
<td>1569</td>
<td>partitioned from schonburg 1800: partitioned into schonburg-hartenstein and schonburg-waldenburg</td>
</tr>
<tr>
<th>7</th>
<td>urach</td>
<td>county</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>1060: 1st mention of urach 1080: 1st use of "count of urach" division of territory into achalm and urach 1218 egino i of urach inherited county of freiburg from zahringen 1261: counts of urach died out 1251-1265: ulrich i of wurttemberg acquired territories of counts of urach</td>
</tr>
<tr>
<th>8</th>
<td>uri</td>
<td>imperial valley</td>
<td>none</td>
<td>none</td>
<td>1231</td>
<td>split off from habsburg 1648: left empire as member of swiss confederation</td>
</tr>
<tr>
<th>9</th>
<td>ursberg</td>
<td>1143: hre abbey</td>
<td>swab</td>
<td>none</td>
<td>none</td>
<td>1803; secularized</td>
</tr>
<tr>
<th>10</th>
<td>utrecht</td>
<td>bishopric</td>
<td>burg</td>
<td>ec</td>
<td>1024</td>
<td>1512: burgundian circle 1528: secularized to austria 1793: council of princes</td>
</tr>
<tr>
<th>11</th>
<td>uznach</td>
<td>county</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>min ( "formed" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
</tr>
</tbody>
</table> | select min ( formed ) where formed > 835 <table_name> : table | | name | type | circle | bench | formed | notes |
|---:|:---------------------------|:-----------------------------------|:---------|:--------|:---------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | uberlingen | imperial city | swab | sw | 1268 | 1803: mediatized to baden |
| 1 | ulm | 1155: free imperial city | swab | sw | 1115 | 1803: mediatized to bavaria 1809: to wurttemberg |
| 2 | umpfenbach | lordship 1805: hre princely county | none | none | none | to trauttmansdorff |
| 3 | unterwalden | imperial valley | none | none | 1415 | division into nidwalden and obwalden 1173: to counts of habsburg 1291: nidwalden became a founding member of the swiss league 1324: immediate imperial fief (reichsunmittelbar) 1350s: division into obwalden and nidwalden 1648: left empire as member of swiss confederation |
| 4 | upper salm | 1163: county | none | none | 1170 | partitioned from salm 1499: raised to wild- and rhinegraves of salm 1574: divided into salm-salm and salm-grumbach |
| 5 | upper bavaria (oberbayern) | duchy | none | none | 1255 | none |
| 6 | upper schonburg | county | upp sax | none | 1569 | partitioned from schonburg 1800: partitioned into schonburg-hartenstein and schonburg-waldenburg |
| 7 | urach | county | none | none | none | 1060: 1st mention of urach 1080: 1st use of "count of urach" division of territory into achalm and urach 1218 egino i of urach inherited county of freiburg from zahringen 1261: counts of urach died out 1251-1265: ulrich i of wurttemberg acquired territories of counts of urach |
| 8 | uri | imperial valley | none | none | 1231 | split off from habsburg 1648: left empire as member of swiss confederation |
| 9 | ursberg | 1143: hre abbey | swab | none | none | 1803; secularized |
| 10 | utrecht | bishopric | burg | ec | 1024 | 1512: burgundian circle 1528: secularized to austria 1793: council of princes |
| 11 | uznach | county | none | none | none | none | | | | min ( "formed" ) |
|---:|:-------------------|
| 0 | none | | [
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select count ( * ) where location = 'hrazdan, kotayk' col : name | armenian | location | # of prisoners designed for | notes row 1 : nubarashen | «նուբարաշեն» | nubarashen, yerevan | 840 | none row 2 : kosh | «կոշ» | kosh, aragatsotn | 640 | none row 3 : sevan | «սեւան» | hrazdan, kotayk | 548 | none row 4 : prison hospital | «դատապարտյալների հիվանդանոց» | kentron, yerevan | 464 | none row 5 : erebuni | «էրեբունի» | nubarashen, yerevan | 391 | none row 6 : artik | «արթիկ» | harich, shirak | 373 | none row 7 : abovyan | «աբովյան» | abovyan, kotayk | 250 | for women and minors row 8 : vanadzor | «վանաձոր» | vanadzor, lori | 245 | none row 9 : goris | «գորիս» | goris, syunik | 215 | none row 10 : hrazdan | «հրազդան» | hrazdan, kotayk | 215 | none row 11 : vardashen | «վարդաշեն» | nubarashen, yerevan | 150 | for former policemen and military officers row 12 : yerevan-center | «երեւան-կենտրոն» | kentron, yerevan | 60 | none row 13 : total | total | total | 4391 | none | col : count ( "*" ) row 1 : 2 | select count ( * ) where location = 'hrazdan, kotayk' <table_name> : table \begin{tabular}{llllll}
\toprule
& name & armenian & location & # of prisoners designed for & notes \\
\midrule
0 & nubarashen & «նուբարաշեն» & nubarashen, yerevan & 840 & none \\
1 & kosh & «կոշ» & kosh, aragatsotn & 640 & none \\
2 & sevan & «սեւան» & hrazdan, kotayk & 548 & none \\
3 & prison hospital & «դատապարտյալների հիվանդանոց» & kentron, yerevan & 464 & none \\
4 & erebuni & «էրեբունի» & nubarashen, yerevan & 391 & none \\
5 & artik & «արթիկ» & harich, shirak & 373 & none \\
6 & abovyan & «աբովյան» & abovyan, kotayk & 250 & for women and minors \\
7 & vanadzor & «վանաձոր» & vanadzor, lori & 245 & none \\
8 & goris & «գորիս» & goris, syunik & 215 & none \\
9 & hrazdan & «հրազդան» & hrazdan, kotayk & 215 & none \\
10 & vardashen & «վարդաշեն» & nubarashen, yerevan & 150 & for former policemen and military officers \\
11 & yerevan-center & «երեւան-կենտրոն» & kentron, yerevan & 60 & none \\
12 & total & total & total & 4391 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( * ) where location = 'hrazdan, kotayk' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>armenian</th>
<th>location</th>
<th># of prisoners designed for</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>nubarashen</td>
<td>«նուբարաշեն»</td>
<td>nubarashen, yerevan</td>
<td>840</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>kosh</td>
<td>«կոշ»</td>
<td>kosh, aragatsotn</td>
<td>640</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>sevan</td>
<td>«սեւան»</td>
<td>hrazdan, kotayk</td>
<td>548</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>prison hospital</td>
<td>«դատապարտյալների հիվանդանոց»</td>
<td>kentron, yerevan</td>
<td>464</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>erebuni</td>
<td>«էրեբունի»</td>
<td>nubarashen, yerevan</td>
<td>391</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>artik</td>
<td>«արթիկ»</td>
<td>harich, shirak</td>
<td>373</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>abovyan</td>
<td>«աբովյան»</td>
<td>abovyan, kotayk</td>
<td>250</td>
<td>for women and minors</td>
</tr>
<tr>
<th>7</th>
<td>vanadzor</td>
<td>«վանաձոր»</td>
<td>vanadzor, lori</td>
<td>245</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>goris</td>
<td>«գորիս»</td>
<td>goris, syunik</td>
<td>215</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>hrazdan</td>
<td>«հրազդան»</td>
<td>hrazdan, kotayk</td>
<td>215</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>vardashen</td>
<td>«վարդաշեն»</td>
<td>nubarashen, yerevan</td>
<td>150</td>
<td>for former policemen and military officers</td>
</tr>
<tr>
<th>11</th>
<td>yerevan-center</td>
<td>«երեւան-կենտրոն»</td>
<td>kentron, yerevan</td>
<td>60</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>total</td>
<td>total</td>
<td>total</td>
<td>4391</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select count ( * ) where location = 'hrazdan, kotayk' <table_name> : table | | name | armenian | location | # of prisoners designed for | notes |
|---:|:----------------|:-----------------------------|:--------------------|------------------------------:|:-------------------------------------------|
| 0 | nubarashen | «նուբարաշեն» | nubarashen, yerevan | 840 | none |
| 1 | kosh | «կոշ» | kosh, aragatsotn | 640 | none |
| 2 | sevan | «սեւան» | hrazdan, kotayk | 548 | none |
| 3 | prison hospital | «դատապարտյալների հիվանդանոց» | kentron, yerevan | 464 | none |
| 4 | erebuni | «էրեբունի» | nubarashen, yerevan | 391 | none |
| 5 | artik | «արթիկ» | harich, shirak | 373 | none |
| 6 | abovyan | «աբովյան» | abovyan, kotayk | 250 | for women and minors |
| 7 | vanadzor | «վանաձոր» | vanadzor, lori | 245 | none |
| 8 | goris | «գորիս» | goris, syunik | 215 | none |
| 9 | hrazdan | «հրազդան» | hrazdan, kotayk | 215 | none |
| 10 | vardashen | «վարդաշեն» | nubarashen, yerevan | 150 | for former policemen and military officers |
| 11 | yerevan-center | «երեւան-կենտրոն» | kentron, yerevan | 60 | none |
| 12 | total | total | total | 4391 | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 2 | | [
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select no. where opponent in final = 'maret ani' col : no. | date | location | surface | opponent in final | score row 1 : 1 | 2000-08-28 00:00:00 | spoleto, italy $10,000 | clay | maret ani | 6-2 7-6(7) row 2 : 2 | 2001-04-09 00:00:00 | san luis potosi, mexico $25,000 | clay | martina muller | 6-4 7-5 row 3 : 3 | 2001-04-16 00:00:00 | coatzacoalcos, mexico $25,000 | hard | gabriela volekova | 6-1 6-3 row 4 : 4 | 2002-10-15 00:00:00 | sedona, usa $25,000 | hard | brie rippner | 6-3 4-6 6-3 row 5 : 5 | 2002-11-05 00:00:00 | pittsburgh, usa $50,000 | hard | maria sharapova | 7-6(4) 6-2 row 6 : 6 | 2003-04-14 00:00:00 | san luis potosi, mexico $25,000 | clay | maria vanina garcia sokol | 6-0 6-4 row 7 : 7 | 2009-04-27 00:00:00 | cagnes-sur-mer, france $100,000 | clay | zuzana ondraskova | 6-1 6-2 row 8 : 8 | 2009-06-01 00:00:00 | nottingham, england $50,000 | grass | stefanie vogele | 6-2 4-6 6-1 | col : no. row 1 : 1 | select no. where opponent in final = 'maret ani' <table_name> : table \begin{tabular}{lllllll}
\toprule
& no. & date & location & surface & opponent in final & score \\
\midrule
0 & 1 & 2000-08-28 00:00:00 & spoleto, italy $10,000 & clay & maret ani & 6-2 7-6(7) \\
1 & 2 & 2001-04-09 00:00:00 & san luis potosi, mexico $25,000 & clay & martina muller & 6-4 7-5 \\
2 & 3 & 2001-04-16 00:00:00 & coatzacoalcos, mexico $25,000 & hard & gabriela volekova & 6-1 6-3 \\
3 & 4 & 2002-10-15 00:00:00 & sedona, usa $25,000 & hard & brie rippner & 6-3 4-6 6-3 \\
4 & 5 & 2002-11-05 00:00:00 & pittsburgh, usa $50,000 & hard & maria sharapova & 7-6(4) 6-2 \\
5 & 6 & 2003-04-14 00:00:00 & san luis potosi, mexico $25,000 & clay & maria vanina garcia sokol & 6-0 6-4 \\
6 & 7 & 2009-04-27 00:00:00 & cagnes-sur-mer, france $100,000 & clay & zuzana ondraskova & 6-1 6-2 \\
7 & 8 & 2009-06-01 00:00:00 & nottingham, england $50,000 & grass & stefanie vogele & 6-2 4-6 6-1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& no. \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select no. where opponent in final = 'maret ani' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
<th>date</th>
<th>location</th>
<th>surface</th>
<th>opponent in final</th>
<th>score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2000-08-28 00:00:00</td>
<td>spoleto, italy $10,000</td>
<td>clay</td>
<td>maret ani</td>
<td>6-2 7-6(7)</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2001-04-09 00:00:00</td>
<td>san luis potosi, mexico $25,000</td>
<td>clay</td>
<td>martina muller</td>
<td>6-4 7-5</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2001-04-16 00:00:00</td>
<td>coatzacoalcos, mexico $25,000</td>
<td>hard</td>
<td>gabriela volekova</td>
<td>6-1 6-3</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2002-10-15 00:00:00</td>
<td>sedona, usa $25,000</td>
<td>hard</td>
<td>brie rippner</td>
<td>6-3 4-6 6-3</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2002-11-05 00:00:00</td>
<td>pittsburgh, usa $50,000</td>
<td>hard</td>
<td>maria sharapova</td>
<td>7-6(4) 6-2</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2003-04-14 00:00:00</td>
<td>san luis potosi, mexico $25,000</td>
<td>clay</td>
<td>maria vanina garcia sokol</td>
<td>6-0 6-4</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2009-04-27 00:00:00</td>
<td>cagnes-sur-mer, france $100,000</td>
<td>clay</td>
<td>zuzana ondraskova</td>
<td>6-1 6-2</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2009-06-01 00:00:00</td>
<td>nottingham, england $50,000</td>
<td>grass</td>
<td>stefanie vogele</td>
<td>6-2 4-6 6-1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select no. where opponent in final = 'maret ani' <table_name> : table | | no. | date | location | surface | opponent in final | score |
|---:|------:|:--------------------|:--------------------------------|:----------|:--------------------------|:------------|
| 0 | 1 | 2000-08-28 00:00:00 | spoleto, italy $10,000 | clay | maret ani | 6-2 7-6(7) |
| 1 | 2 | 2001-04-09 00:00:00 | san luis potosi, mexico $25,000 | clay | martina muller | 6-4 7-5 |
| 2 | 3 | 2001-04-16 00:00:00 | coatzacoalcos, mexico $25,000 | hard | gabriela volekova | 6-1 6-3 |
| 3 | 4 | 2002-10-15 00:00:00 | sedona, usa $25,000 | hard | brie rippner | 6-3 4-6 6-3 |
| 4 | 5 | 2002-11-05 00:00:00 | pittsburgh, usa $50,000 | hard | maria sharapova | 7-6(4) 6-2 |
| 5 | 6 | 2003-04-14 00:00:00 | san luis potosi, mexico $25,000 | clay | maria vanina garcia sokol | 6-0 6-4 |
| 6 | 7 | 2009-04-27 00:00:00 | cagnes-sur-mer, france $100,000 | clay | zuzana ondraskova | 6-1 6-2 |
| 7 | 8 | 2009-06-01 00:00:00 | nottingham, england $50,000 | grass | stefanie vogele | 6-2 4-6 6-1 | | | | no. |
|---:|------:|
| 0 | 1 | | [
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select count ( console ) where release = 2013 col : title | release | genre | computer | console | handheld | smartphone row 1 : bionicle heroes | 2006 | third-person shooter | windows | playstation 2, gamecube, xbox, xbox 360, wii | nintendo ds | none row 2 : bionicle: matoran adventures | 2002 | platformer | none | none | game boy advance | none row 3 : bionicle: maze of shadows | 2005 | turn based rpg | none | none | game boy advance | none row 4 : bionicle: tales of the tohunga | 2001 | adventure | none | none | game boy advance | none row 5 : bionicle: the game | 2003 | adventure | windows, os x | playstation 2, gamecube, xbox | game boy advance | none row 6 : drome racers | 2002 | racing | windows | playstation 2, gamecube, xbox | game boy advance | none row 7 : island xtreme stunts | 2002 | action-adventure | windows | playstation 2 | game boy advance | none row 8 : lego alpha team | 2000 | action | windows | none | game boy color | none row 9 : lego battles | 2009 | real-time strategy | none | none | nintendo ds | none row 10 : lego battles: ninjago | 2011 | real-time strategy | none | none | nintendo ds | ios row 11 : lego chess | 1998 | strategy | windows | none | none | none row 12 : lego city undercover | 2013 | open world, platform game | none | wii u | none | none row 13 : lego city undercover: the chase begins | 2013 | open world, platform game | none | none | nintendo 3ds | none row 14 : lego creationary | 2011 | puzzle | none | none | none | ios, android row 15 : lego creator | 1998 | construction and management simulation | windows | none | none | none row 16 : lego creator: knights kingdom | 2000 | construction and management simulation | windows | none | none | none row 17 : lego friends | 2013 | miscellaneous | none | none | nintendo ds, nintendo 3ds | none row 18 : lego island | 1997 | action-adventure | windows | none | none | none row 19 : lego island 2 the brickster's revenge | 2001 | action-adventure | windows | playstation | game boy color, game boy advance | none row 20 : lego knights' kingdom | 2004 | action-adventure | none | none | game boy advance | none row 21 : lego legends of chima online | 2014 | massively multiplayer online (mmo) | windows | none | none | none row 22 : lego legends of chima: laval's journey | 2013 | action-adventure | none | none | nintendo ds, nintendo 3ds, playstation vita | none row 23 : lego legends of chima: speedorz | 2013 | racing | windows | none | none | ios row 24 : lego loco | 1998 | virtual world | windows | none | none | none row 25 : lego minifigures online | 2014 | massively multiplayer online (mmo) | windows | none | none | ios, android row 26 : lego my style kindergarten | 2000 | educational | windows, mac os | none | none | none row 27 : lego my style preschool | 2000 | educational | windows, mac os | none | none | none row 28 : lego ninjago nindroids | 2014 | action-adventure | none | none | nintendo 3ds, playstation vita | none row 29 : lego ninjago: the final battle | 2013 | platformer | windows | none | none | none row 30 : lego racers | 1999 | racing | windows | playstation, nintendo 64 | game boy color | none row 31 : lego racers 2 | 2001 | racing | windows | playstation 2 | game boy advance | none row 32 : lego rock raiders | 1999 | real-time strategy, action | windows | playstation | none | none row 33 : lego soccer mania | 2002 | sport | windows | playstation 2 | game boy advance | none row 34 : lego stunt rally | 2000 | racing | windows | none | game boy color | none row 35 : lego universe | 2010 | massively multiplayer online (mmo) | windows, os x | none | none | none row 36 : legoland | 1999 | simulation strategy | windows | none | none | none | col : count ( "console" ) row 1 : 6 | select count ( console ) where release = 2013 <table_name> : table \begin{tabular}{llllllll}
\toprule
& title & release & genre & computer & console & handheld & smartphone \\
\midrule
0 & bionicle heroes & 2006 & third-person shooter & windows & playstation 2, gamecube, xbox, xbox 360, wii & nintendo ds & none \\
1 & bionicle: matoran adventures & 2002 & platformer & none & none & game boy advance & none \\
2 & bionicle: maze of shadows & 2005 & turn based rpg & none & none & game boy advance & none \\
3 & bionicle: tales of the tohunga & 2001 & adventure & none & none & game boy advance & none \\
4 & bionicle: the game & 2003 & adventure & windows, os x & playstation 2, gamecube, xbox & game boy advance & none \\
5 & drome racers & 2002 & racing & windows & playstation 2, gamecube, xbox & game boy advance & none \\
6 & island xtreme stunts & 2002 & action-adventure & windows & playstation 2 & game boy advance & none \\
7 & lego alpha team & 2000 & action & windows & none & game boy color & none \\
8 & lego battles & 2009 & real-time strategy & none & none & nintendo ds & none \\
9 & lego battles: ninjago & 2011 & real-time strategy & none & none & nintendo ds & ios \\
10 & lego chess & 1998 & strategy & windows & none & none & none \\
11 & lego city undercover & 2013 & open world, platform game & none & wii u & none & none \\
12 & lego city undercover: the chase begins & 2013 & open world, platform game & none & none & nintendo 3ds & none \\
13 & lego creationary & 2011 & puzzle & none & none & none & ios, android \\
14 & lego creator & 1998 & construction and management simulation & windows & none & none & none \\
15 & lego creator: knights kingdom & 2000 & construction and management simulation & windows & none & none & none \\
16 & lego friends & 2013 & miscellaneous & none & none & nintendo ds, nintendo 3ds & none \\
17 & lego island & 1997 & action-adventure & windows & none & none & none \\
18 & lego island 2 the brickster's revenge & 2001 & action-adventure & windows & playstation & game boy color, game boy advance & none \\
19 & lego knights' kingdom & 2004 & action-adventure & none & none & game boy advance & none \\
20 & lego legends of chima online & 2014 & massively multiplayer online (mmo) & windows & none & none & none \\
21 & lego legends of chima: laval's journey & 2013 & action-adventure & none & none & nintendo ds, nintendo 3ds, playstation vita & none \\
22 & lego legends of chima: speedorz & 2013 & racing & windows & none & none & ios \\
23 & lego loco & 1998 & virtual world & windows & none & none & none \\
24 & lego minifigures online & 2014 & massively multiplayer online (mmo) & windows & none & none & ios, android \\
25 & lego my style kindergarten & 2000 & educational & windows, mac os & none & none & none \\
26 & lego my style preschool & 2000 & educational & windows, mac os & none & none & none \\
27 & lego ninjago nindroids & 2014 & action-adventure & none & none & nintendo 3ds, playstation vita & none \\
28 & lego ninjago: the final battle & 2013 & platformer & windows & none & none & none \\
29 & lego racers & 1999 & racing & windows & playstation, nintendo 64 & game boy color & none \\
30 & lego racers 2 & 2001 & racing & windows & playstation 2 & game boy advance & none \\
31 & lego rock raiders & 1999 & real-time strategy, action & windows & playstation & none & none \\
32 & lego soccer mania & 2002 & sport & windows & playstation 2 & game boy advance & none \\
33 & lego stunt rally & 2000 & racing & windows & none & game boy color & none \\
34 & lego universe & 2010 & massively multiplayer online (mmo) & windows, os x & none & none & none \\
35 & legoland & 1999 & simulation strategy & windows & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "console" ) \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select count ( console ) where release = 2013 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>title</th>
<th>release</th>
<th>genre</th>
<th>computer</th>
<th>console</th>
<th>handheld</th>
<th>smartphone</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>bionicle heroes</td>
<td>2006</td>
<td>third-person shooter</td>
<td>windows</td>
<td>playstation 2, gamecube, xbox, xbox 360, wii</td>
<td>nintendo ds</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>bionicle: matoran adventures</td>
<td>2002</td>
<td>platformer</td>
<td>none</td>
<td>none</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>bionicle: maze of shadows</td>
<td>2005</td>
<td>turn based rpg</td>
<td>none</td>
<td>none</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>bionicle: tales of the tohunga</td>
<td>2001</td>
<td>adventure</td>
<td>none</td>
<td>none</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>bionicle: the game</td>
<td>2003</td>
<td>adventure</td>
<td>windows, os x</td>
<td>playstation 2, gamecube, xbox</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>drome racers</td>
<td>2002</td>
<td>racing</td>
<td>windows</td>
<td>playstation 2, gamecube, xbox</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>island xtreme stunts</td>
<td>2002</td>
<td>action-adventure</td>
<td>windows</td>
<td>playstation 2</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>lego alpha team</td>
<td>2000</td>
<td>action</td>
<td>windows</td>
<td>none</td>
<td>game boy color</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>lego battles</td>
<td>2009</td>
<td>real-time strategy</td>
<td>none</td>
<td>none</td>
<td>nintendo ds</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>lego battles: ninjago</td>
<td>2011</td>
<td>real-time strategy</td>
<td>none</td>
<td>none</td>
<td>nintendo ds</td>
<td>ios</td>
</tr>
<tr>
<th>10</th>
<td>lego chess</td>
<td>1998</td>
<td>strategy</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>lego city undercover</td>
<td>2013</td>
<td>open world, platform game</td>
<td>none</td>
<td>wii u</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>lego city undercover: the chase begins</td>
<td>2013</td>
<td>open world, platform game</td>
<td>none</td>
<td>none</td>
<td>nintendo 3ds</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>lego creationary</td>
<td>2011</td>
<td>puzzle</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>ios, android</td>
</tr>
<tr>
<th>14</th>
<td>lego creator</td>
<td>1998</td>
<td>construction and management simulation</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>lego creator: knights kingdom</td>
<td>2000</td>
<td>construction and management simulation</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>lego friends</td>
<td>2013</td>
<td>miscellaneous</td>
<td>none</td>
<td>none</td>
<td>nintendo ds, nintendo 3ds</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>lego island</td>
<td>1997</td>
<td>action-adventure</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>lego island 2 the brickster's revenge</td>
<td>2001</td>
<td>action-adventure</td>
<td>windows</td>
<td>playstation</td>
<td>game boy color, game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>lego knights' kingdom</td>
<td>2004</td>
<td>action-adventure</td>
<td>none</td>
<td>none</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>lego legends of chima online</td>
<td>2014</td>
<td>massively multiplayer online (mmo)</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>lego legends of chima: laval's journey</td>
<td>2013</td>
<td>action-adventure</td>
<td>none</td>
<td>none</td>
<td>nintendo ds, nintendo 3ds, playstation vita</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>lego legends of chima: speedorz</td>
<td>2013</td>
<td>racing</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>ios</td>
</tr>
<tr>
<th>23</th>
<td>lego loco</td>
<td>1998</td>
<td>virtual world</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>lego minifigures online</td>
<td>2014</td>
<td>massively multiplayer online (mmo)</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>ios, android</td>
</tr>
<tr>
<th>25</th>
<td>lego my style kindergarten</td>
<td>2000</td>
<td>educational</td>
<td>windows, mac os</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>lego my style preschool</td>
<td>2000</td>
<td>educational</td>
<td>windows, mac os</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>lego ninjago nindroids</td>
<td>2014</td>
<td>action-adventure</td>
<td>none</td>
<td>none</td>
<td>nintendo 3ds, playstation vita</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>lego ninjago: the final battle</td>
<td>2013</td>
<td>platformer</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>lego racers</td>
<td>1999</td>
<td>racing</td>
<td>windows</td>
<td>playstation, nintendo 64</td>
<td>game boy color</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>lego racers 2</td>
<td>2001</td>
<td>racing</td>
<td>windows</td>
<td>playstation 2</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>lego rock raiders</td>
<td>1999</td>
<td>real-time strategy, action</td>
<td>windows</td>
<td>playstation</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>32</th>
<td>lego soccer mania</td>
<td>2002</td>
<td>sport</td>
<td>windows</td>
<td>playstation 2</td>
<td>game boy advance</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>lego stunt rally</td>
<td>2000</td>
<td>racing</td>
<td>windows</td>
<td>none</td>
<td>game boy color</td>
<td>none</td>
</tr>
<tr>
<th>34</th>
<td>lego universe</td>
<td>2010</td>
<td>massively multiplayer online (mmo)</td>
<td>windows, os x</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>35</th>
<td>legoland</td>
<td>1999</td>
<td>simulation strategy</td>
<td>windows</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "console" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select count ( console ) where release = 2013 <table_name> : table | | title | release | genre | computer | console | handheld | smartphone |
|---:|:---------------------------------------|----------:|:---------------------------------------|:----------------|:---------------------------------------------|:--------------------------------------------|:-------------|
| 0 | bionicle heroes | 2006 | third-person shooter | windows | playstation 2, gamecube, xbox, xbox 360, wii | nintendo ds | none |
| 1 | bionicle: matoran adventures | 2002 | platformer | none | none | game boy advance | none |
| 2 | bionicle: maze of shadows | 2005 | turn based rpg | none | none | game boy advance | none |
| 3 | bionicle: tales of the tohunga | 2001 | adventure | none | none | game boy advance | none |
| 4 | bionicle: the game | 2003 | adventure | windows, os x | playstation 2, gamecube, xbox | game boy advance | none |
| 5 | drome racers | 2002 | racing | windows | playstation 2, gamecube, xbox | game boy advance | none |
| 6 | island xtreme stunts | 2002 | action-adventure | windows | playstation 2 | game boy advance | none |
| 7 | lego alpha team | 2000 | action | windows | none | game boy color | none |
| 8 | lego battles | 2009 | real-time strategy | none | none | nintendo ds | none |
| 9 | lego battles: ninjago | 2011 | real-time strategy | none | none | nintendo ds | ios |
| 10 | lego chess | 1998 | strategy | windows | none | none | none |
| 11 | lego city undercover | 2013 | open world, platform game | none | wii u | none | none |
| 12 | lego city undercover: the chase begins | 2013 | open world, platform game | none | none | nintendo 3ds | none |
| 13 | lego creationary | 2011 | puzzle | none | none | none | ios, android |
| 14 | lego creator | 1998 | construction and management simulation | windows | none | none | none |
| 15 | lego creator: knights kingdom | 2000 | construction and management simulation | windows | none | none | none |
| 16 | lego friends | 2013 | miscellaneous | none | none | nintendo ds, nintendo 3ds | none |
| 17 | lego island | 1997 | action-adventure | windows | none | none | none |
| 18 | lego island 2 the brickster's revenge | 2001 | action-adventure | windows | playstation | game boy color, game boy advance | none |
| 19 | lego knights' kingdom | 2004 | action-adventure | none | none | game boy advance | none |
| 20 | lego legends of chima online | 2014 | massively multiplayer online (mmo) | windows | none | none | none |
| 21 | lego legends of chima: laval's journey | 2013 | action-adventure | none | none | nintendo ds, nintendo 3ds, playstation vita | none |
| 22 | lego legends of chima: speedorz | 2013 | racing | windows | none | none | ios |
| 23 | lego loco | 1998 | virtual world | windows | none | none | none |
| 24 | lego minifigures online | 2014 | massively multiplayer online (mmo) | windows | none | none | ios, android |
| 25 | lego my style kindergarten | 2000 | educational | windows, mac os | none | none | none |
| 26 | lego my style preschool | 2000 | educational | windows, mac os | none | none | none |
| 27 | lego ninjago nindroids | 2014 | action-adventure | none | none | nintendo 3ds, playstation vita | none |
| 28 | lego ninjago: the final battle | 2013 | platformer | windows | none | none | none |
| 29 | lego racers | 1999 | racing | windows | playstation, nintendo 64 | game boy color | none |
| 30 | lego racers 2 | 2001 | racing | windows | playstation 2 | game boy advance | none |
| 31 | lego rock raiders | 1999 | real-time strategy, action | windows | playstation | none | none |
| 32 | lego soccer mania | 2002 | sport | windows | playstation 2 | game boy advance | none |
| 33 | lego stunt rally | 2000 | racing | windows | none | game boy color | none |
| 34 | lego universe | 2010 | massively multiplayer online (mmo) | windows, os x | none | none | none |
| 35 | legoland | 1999 | simulation strategy | windows | none | none | none | | | | count ( "console" ) |
|---:|----------------------:|
| 0 | 6 | | [
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select nationality where player = 'jarret stoll' col : round | # | player | nationality | college/junior/club team (league) row 1 : 1 | 15 | jesse niinimaki | finland | ilves (finland) row 2 : 2 | 31 | jeff deslauriers | canada | chicoutimi sagueneens (qmjhl) row 3 : 2 | 36 | jarret stoll | canada | kootenay ice (whl) row 4 : 2 | 44 | matt greene | united states | green bay gamblers (ushl) row 5 : 3 | 79 | brock radunske | canada | michigan state spartans (ncaa) row 6 : 4 | 106 | ivan koltsov | russia | cherepovets (russia) row 7 : 4 | 111 | jonas almtorp | sweden | modo hockey (sweden) row 8 : 4 | 123 | robin kovar | czech republic | hc vsetin (czech.) row 9 : 5 | 148 | glenn fisher | canada | fort saskatchewan traders (ajhl) row 10 : 6 | 181 | mikko luoma | finland | tappara (finland) row 11 : 7 | 205 | jean-francois dufort | canada | cape breton screaming eagles (qmjhl) row 12 : 7 | 211 | patrick murphy | canada | newmarket hurricanes (opjhl) row 13 : 8 | 244 | dwight helminen | united states | michigan wolverines (ncaa) row 14 : 8 | 245 | tomas micka | czech republic | hc slavia praha (czech.) row 15 : 9 | 274 | fredrik johansson | sweden | frolunda (sweden) | col : nationality row 1 : canada | select nationality where player = 'jarret stoll' <table_name> : table \begin{tabular}{llllll}
\toprule
& round & # & player & nationality & college/junior/club team (league) \\
\midrule
0 & 1 & 15 & jesse niinimaki & finland & ilves (finland) \\
1 & 2 & 31 & jeff deslauriers & canada & chicoutimi sagueneens (qmjhl) \\
2 & 2 & 36 & jarret stoll & canada & kootenay ice (whl) \\
3 & 2 & 44 & matt greene & united states & green bay gamblers (ushl) \\
4 & 3 & 79 & brock radunske & canada & michigan state spartans (ncaa) \\
5 & 4 & 106 & ivan koltsov & russia & cherepovets (russia) \\
6 & 4 & 111 & jonas almtorp & sweden & modo hockey (sweden) \\
7 & 4 & 123 & robin kovar & czech republic & hc vsetin (czech.) \\
8 & 5 & 148 & glenn fisher & canada & fort saskatchewan traders (ajhl) \\
9 & 6 & 181 & mikko luoma & finland & tappara (finland) \\
10 & 7 & 205 & jean-francois dufort & canada & cape breton screaming eagles (qmjhl) \\
11 & 7 & 211 & patrick murphy & canada & newmarket hurricanes (opjhl) \\
12 & 8 & 244 & dwight helminen & united states & michigan wolverines (ncaa) \\
13 & 8 & 245 & tomas micka & czech republic & hc slavia praha (czech.) \\
14 & 9 & 274 & fredrik johansson & sweden & frolunda (sweden) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nationality \\
\midrule
0 & canada \\
\bottomrule
\end{tabular}
| select nationality where player = 'jarret stoll' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>round</th>
<th>#</th>
<th>player</th>
<th>nationality</th>
<th>college/junior/club team (league)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>15</td>
<td>jesse niinimaki</td>
<td>finland</td>
<td>ilves (finland)</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>31</td>
<td>jeff deslauriers</td>
<td>canada</td>
<td>chicoutimi sagueneens (qmjhl)</td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>36</td>
<td>jarret stoll</td>
<td>canada</td>
<td>kootenay ice (whl)</td>
</tr>
<tr>
<th>3</th>
<td>2</td>
<td>44</td>
<td>matt greene</td>
<td>united states</td>
<td>green bay gamblers (ushl)</td>
</tr>
<tr>
<th>4</th>
<td>3</td>
<td>79</td>
<td>brock radunske</td>
<td>canada</td>
<td>michigan state spartans (ncaa)</td>
</tr>
<tr>
<th>5</th>
<td>4</td>
<td>106</td>
<td>ivan koltsov</td>
<td>russia</td>
<td>cherepovets (russia)</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>111</td>
<td>jonas almtorp</td>
<td>sweden</td>
<td>modo hockey (sweden)</td>
</tr>
<tr>
<th>7</th>
<td>4</td>
<td>123</td>
<td>robin kovar</td>
<td>czech republic</td>
<td>hc vsetin (czech.)</td>
</tr>
<tr>
<th>8</th>
<td>5</td>
<td>148</td>
<td>glenn fisher</td>
<td>canada</td>
<td>fort saskatchewan traders (ajhl)</td>
</tr>
<tr>
<th>9</th>
<td>6</td>
<td>181</td>
<td>mikko luoma</td>
<td>finland</td>
<td>tappara (finland)</td>
</tr>
<tr>
<th>10</th>
<td>7</td>
<td>205</td>
<td>jean-francois dufort</td>
<td>canada</td>
<td>cape breton screaming eagles (qmjhl)</td>
</tr>
<tr>
<th>11</th>
<td>7</td>
<td>211</td>
<td>patrick murphy</td>
<td>canada</td>
<td>newmarket hurricanes (opjhl)</td>
</tr>
<tr>
<th>12</th>
<td>8</td>
<td>244</td>
<td>dwight helminen</td>
<td>united states</td>
<td>michigan wolverines (ncaa)</td>
</tr>
<tr>
<th>13</th>
<td>8</td>
<td>245</td>
<td>tomas micka</td>
<td>czech republic</td>
<td>hc slavia praha (czech.)</td>
</tr>
<tr>
<th>14</th>
<td>9</td>
<td>274</td>
<td>fredrik johansson</td>
<td>sweden</td>
<td>frolunda (sweden)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nationality</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>canada</td>
</tr>
</tbody>
</table> | select nationality where player = 'jarret stoll' <table_name> : table | | round | # | player | nationality | college/junior/club team (league) |
|---:|--------:|----:|:---------------------|:---------------|:-------------------------------------|
| 0 | 1 | 15 | jesse niinimaki | finland | ilves (finland) |
| 1 | 2 | 31 | jeff deslauriers | canada | chicoutimi sagueneens (qmjhl) |
| 2 | 2 | 36 | jarret stoll | canada | kootenay ice (whl) |
| 3 | 2 | 44 | matt greene | united states | green bay gamblers (ushl) |
| 4 | 3 | 79 | brock radunske | canada | michigan state spartans (ncaa) |
| 5 | 4 | 106 | ivan koltsov | russia | cherepovets (russia) |
| 6 | 4 | 111 | jonas almtorp | sweden | modo hockey (sweden) |
| 7 | 4 | 123 | robin kovar | czech republic | hc vsetin (czech.) |
| 8 | 5 | 148 | glenn fisher | canada | fort saskatchewan traders (ajhl) |
| 9 | 6 | 181 | mikko luoma | finland | tappara (finland) |
| 10 | 7 | 205 | jean-francois dufort | canada | cape breton screaming eagles (qmjhl) |
| 11 | 7 | 211 | patrick murphy | canada | newmarket hurricanes (opjhl) |
| 12 | 8 | 244 | dwight helminen | united states | michigan wolverines (ncaa) |
| 13 | 8 | 245 | tomas micka | czech republic | hc slavia praha (czech.) |
| 14 | 9 | 274 | fredrik johansson | sweden | frolunda (sweden) | | | | nationality |
|---:|:--------------|
| 0 | canada | | [
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select avg ( tyre ) where tyre = 'f' col : number | driver | entrant | chassis | engine | tyre row 1 : 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f row 2 : 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d row 3 : 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d row 4 : 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d row 5 : 7 | bob veith | bob estes | phillips | offenhauser | f row 6 : 8 | jean behra | maserati | maserati 250f | maserati | f row 7 : 8 | jean behra | maserati | maserati 450s1 | maserati | f row 8 : 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f row 9 : 16 | mario bornigia | scuderia cottione | ferrari | ferrari | none row 10 : 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 11 : 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f row 12 : 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f row 13 : 52 | troy ruttman | john zink | watson | offenhauser | f row 14 : 52 | jim rathmann2 | john zink | watson | offenhauser | f row 15 : 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f row 16 : 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f row 17 : 98 | johnnie parsons | agajanian | kuzma | offenhauser | f | col : avg ( "tyre" ) row 1 : 0 | select avg ( tyre ) where tyre = 'f' <table_name> : table \begin{tabular}{lllllll}
\toprule
& number & driver & entrant & chassis & engine & tyre \\
\midrule
0 & 1 & jimmy bryan & dean van lines & kuzma & offenhauser & f \\
1 & 2 & john lawrence & ecurie ecosse & jaguar d-type & jaguar & d \\
2 & 4 & jack fairman & ecurie ecosse & jaguar d-type & jaguar & d \\
3 & 6 & ninian sanderson & ecurie ecosse & jaguar d-type & jaguar & d \\
4 & 7 & bob veith & bob estes & phillips & offenhauser & f \\
5 & 8 & jean behra & maserati & maserati 250f & maserati & f \\
6 & 8 & jean behra & maserati & maserati 450s1 & maserati & f \\
7 & 12 & pat o'connor & sumar & kurtis kraft 500g & offenhauser & f \\
8 & 16 & mario bornigia & scuderia cottione & ferrari & ferrari & none \\
9 & 27 & tony bettenhausen & novi auto air conditioning & kurtis kraft 500f & novi (s/c) & f \\
10 & 35 & eddie sachs & jim robbins & kurtis kraft 500g & offenhauser & f \\
11 & 49 & ray crawford & meguiar mirror glaze & kurtis kraft 500g & offenhauser & f \\
12 & 52 & troy ruttman & john zink & watson & offenhauser & f \\
13 & 52 & jim rathmann2 & john zink & watson & offenhauser & f \\
14 & 54 & paul russo & novi auto air conditioning & kurtis kraft 500f & novi (s/c) & f \\
15 & 73 & andy linden & mcnamara veedol & kurtis kraft 500g & offenhauser & f \\
16 & 98 & johnnie parsons & agajanian & kuzma & offenhauser & f \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& avg ( "tyre" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select avg ( tyre ) where tyre = 'f' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>number</th>
<th>driver</th>
<th>entrant</th>
<th>chassis</th>
<th>engine</th>
<th>tyre</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>jimmy bryan</td>
<td>dean van lines</td>
<td>kuzma</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>john lawrence</td>
<td>ecurie ecosse</td>
<td>jaguar d-type</td>
<td>jaguar</td>
<td>d</td>
</tr>
<tr>
<th>2</th>
<td>4</td>
<td>jack fairman</td>
<td>ecurie ecosse</td>
<td>jaguar d-type</td>
<td>jaguar</td>
<td>d</td>
</tr>
<tr>
<th>3</th>
<td>6</td>
<td>ninian sanderson</td>
<td>ecurie ecosse</td>
<td>jaguar d-type</td>
<td>jaguar</td>
<td>d</td>
</tr>
<tr>
<th>4</th>
<td>7</td>
<td>bob veith</td>
<td>bob estes</td>
<td>phillips</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>5</th>
<td>8</td>
<td>jean behra</td>
<td>maserati</td>
<td>maserati 250f</td>
<td>maserati</td>
<td>f</td>
</tr>
<tr>
<th>6</th>
<td>8</td>
<td>jean behra</td>
<td>maserati</td>
<td>maserati 450s1</td>
<td>maserati</td>
<td>f</td>
</tr>
<tr>
<th>7</th>
<td>12</td>
<td>pat o'connor</td>
<td>sumar</td>
<td>kurtis kraft 500g</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>8</th>
<td>16</td>
<td>mario bornigia</td>
<td>scuderia cottione</td>
<td>ferrari</td>
<td>ferrari</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>27</td>
<td>tony bettenhausen</td>
<td>novi auto air conditioning</td>
<td>kurtis kraft 500f</td>
<td>novi (s/c)</td>
<td>f</td>
</tr>
<tr>
<th>10</th>
<td>35</td>
<td>eddie sachs</td>
<td>jim robbins</td>
<td>kurtis kraft 500g</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>11</th>
<td>49</td>
<td>ray crawford</td>
<td>meguiar mirror glaze</td>
<td>kurtis kraft 500g</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>12</th>
<td>52</td>
<td>troy ruttman</td>
<td>john zink</td>
<td>watson</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>13</th>
<td>52</td>
<td>jim rathmann2</td>
<td>john zink</td>
<td>watson</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>14</th>
<td>54</td>
<td>paul russo</td>
<td>novi auto air conditioning</td>
<td>kurtis kraft 500f</td>
<td>novi (s/c)</td>
<td>f</td>
</tr>
<tr>
<th>15</th>
<td>73</td>
<td>andy linden</td>
<td>mcnamara veedol</td>
<td>kurtis kraft 500g</td>
<td>offenhauser</td>
<td>f</td>
</tr>
<tr>
<th>16</th>
<td>98</td>
<td>johnnie parsons</td>
<td>agajanian</td>
<td>kuzma</td>
<td>offenhauser</td>
<td>f</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>avg ( "tyre" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select avg ( tyre ) where tyre = 'f' <table_name> : table | | number | driver | entrant | chassis | engine | tyre |
|---:|---------:|:------------------|:---------------------------|:------------------|:------------|:-------|
| 0 | 1 | jimmy bryan | dean van lines | kuzma | offenhauser | f |
| 1 | 2 | john lawrence | ecurie ecosse | jaguar d-type | jaguar | d |
| 2 | 4 | jack fairman | ecurie ecosse | jaguar d-type | jaguar | d |
| 3 | 6 | ninian sanderson | ecurie ecosse | jaguar d-type | jaguar | d |
| 4 | 7 | bob veith | bob estes | phillips | offenhauser | f |
| 5 | 8 | jean behra | maserati | maserati 250f | maserati | f |
| 6 | 8 | jean behra | maserati | maserati 450s1 | maserati | f |
| 7 | 12 | pat o'connor | sumar | kurtis kraft 500g | offenhauser | f |
| 8 | 16 | mario bornigia | scuderia cottione | ferrari | ferrari | none |
| 9 | 27 | tony bettenhausen | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f |
| 10 | 35 | eddie sachs | jim robbins | kurtis kraft 500g | offenhauser | f |
| 11 | 49 | ray crawford | meguiar mirror glaze | kurtis kraft 500g | offenhauser | f |
| 12 | 52 | troy ruttman | john zink | watson | offenhauser | f |
| 13 | 52 | jim rathmann2 | john zink | watson | offenhauser | f |
| 14 | 54 | paul russo | novi auto air conditioning | kurtis kraft 500f | novi (s/c) | f |
| 15 | 73 | andy linden | mcnamara veedol | kurtis kraft 500g | offenhauser | f |
| 16 | 98 | johnnie parsons | agajanian | kuzma | offenhauser | f | | | | avg ( "tyre" ) |
|---:|-----------------:|
| 0 | 0 | | [
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select count ( site ) where site = 'rickwood field • birmingham, al' col : date | opponent | site | result row 1 : september 24 | millsaps | denny field • tuscaloosa, al | w 54-0 row 2 : october 2 | at vanderbilt | dudley field • nashville, tn | w 19-7 row 3 : october 9 | at mississippi a&m | meridian fairgrounds • meridian, ms (rivalry) | w 26-7 row 4 : october 16 | at georgia tech | grant field • atlanta, ga | w 21-0 row 5 : october 23 | sewanee | rickwood field • birmingham, al | w 2-0 row 6 : october 30 | lsu | denny field • tuscaloosa, al (rivalry) | w 24-0 row 7 : november 6 | kentucky | rickwood field • birmingham, al | w 14-0 row 8 : november 13 | florida | cramton bowl • montgomery, al | w 49-0 row 9 : november 25 | georgia | rickwood field • birmingham, al | w 33-6 row 10 : january 1, 1927 | vs. stanford | rose bowl • pasadena, ca (rose bowl) | t 7-7 | col : count ( "site" ) row 1 : 3 | select count ( site ) where site = 'rickwood field • birmingham, al' <table_name> : table \begin{tabular}{lllll}
\toprule
& date & opponent & site & result \\
\midrule
0 & september 24 & millsaps & denny field • tuscaloosa, al & w 54-0 \\
1 & october 2 & at vanderbilt & dudley field • nashville, tn & w 19-7 \\
2 & october 9 & at mississippi a&m & meridian fairgrounds • meridian, ms (rivalry) & w 26-7 \\
3 & october 16 & at georgia tech & grant field • atlanta, ga & w 21-0 \\
4 & october 23 & sewanee & rickwood field • birmingham, al & w 2-0 \\
5 & october 30 & lsu & denny field • tuscaloosa, al (rivalry) & w 24-0 \\
6 & november 6 & kentucky & rickwood field • birmingham, al & w 14-0 \\
7 & november 13 & florida & cramton bowl • montgomery, al & w 49-0 \\
8 & november 25 & georgia & rickwood field • birmingham, al & w 33-6 \\
9 & january 1, 1927 & vs. stanford & rose bowl • pasadena, ca (rose bowl) & t 7-7 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "site" ) \\
\midrule
0 & 3 \\
\bottomrule
\end{tabular}
| select count ( site ) where site = 'rickwood field • birmingham, al' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>opponent</th>
<th>site</th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>september 24</td>
<td>millsaps</td>
<td>denny field • tuscaloosa, al</td>
<td>w 54-0</td>
</tr>
<tr>
<th>1</th>
<td>october 2</td>
<td>at vanderbilt</td>
<td>dudley field • nashville, tn</td>
<td>w 19-7</td>
</tr>
<tr>
<th>2</th>
<td>october 9</td>
<td>at mississippi a&m</td>
<td>meridian fairgrounds • meridian, ms (rivalry)</td>
<td>w 26-7</td>
</tr>
<tr>
<th>3</th>
<td>october 16</td>
<td>at georgia tech</td>
<td>grant field • atlanta, ga</td>
<td>w 21-0</td>
</tr>
<tr>
<th>4</th>
<td>october 23</td>
<td>sewanee</td>
<td>rickwood field • birmingham, al</td>
<td>w 2-0</td>
</tr>
<tr>
<th>5</th>
<td>october 30</td>
<td>lsu</td>
<td>denny field • tuscaloosa, al (rivalry)</td>
<td>w 24-0</td>
</tr>
<tr>
<th>6</th>
<td>november 6</td>
<td>kentucky</td>
<td>rickwood field • birmingham, al</td>
<td>w 14-0</td>
</tr>
<tr>
<th>7</th>
<td>november 13</td>
<td>florida</td>
<td>cramton bowl • montgomery, al</td>
<td>w 49-0</td>
</tr>
<tr>
<th>8</th>
<td>november 25</td>
<td>georgia</td>
<td>rickwood field • birmingham, al</td>
<td>w 33-6</td>
</tr>
<tr>
<th>9</th>
<td>january 1, 1927</td>
<td>vs. stanford</td>
<td>rose bowl • pasadena, ca (rose bowl)</td>
<td>t 7-7</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "site" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3</td>
</tr>
</tbody>
</table> | select count ( site ) where site = 'rickwood field • birmingham, al' <table_name> : table | | date | opponent | site | result |
|---:|:----------------|:-------------------|:----------------------------------------------|:---------|
| 0 | september 24 | millsaps | denny field • tuscaloosa, al | w 54-0 |
| 1 | october 2 | at vanderbilt | dudley field • nashville, tn | w 19-7 |
| 2 | october 9 | at mississippi a&m | meridian fairgrounds • meridian, ms (rivalry) | w 26-7 |
| 3 | october 16 | at georgia tech | grant field • atlanta, ga | w 21-0 |
| 4 | october 23 | sewanee | rickwood field • birmingham, al | w 2-0 |
| 5 | october 30 | lsu | denny field • tuscaloosa, al (rivalry) | w 24-0 |
| 6 | november 6 | kentucky | rickwood field • birmingham, al | w 14-0 |
| 7 | november 13 | florida | cramton bowl • montgomery, al | w 49-0 |
| 8 | november 25 | georgia | rickwood field • birmingham, al | w 33-6 |
| 9 | january 1, 1927 | vs. stanford | rose bowl • pasadena, ca (rose bowl) | t 7-7 | | | | count ( "site" ) |
|---:|-------------------:|
| 0 | 3 | | [
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select count ( type of nature reserve ) where massif = '274.3 ha' col : # | massif | region | type of nature reserve | preserved area | buffer zone row 1 : 1 | chornohora | zakarpattia | carpathian biosphere reserve | 2476.8 ha | 12925 ha row 2 : 2 | uholka / wide meadow | zakarpattia | carpathian biosphere reserve | 11860 ha | 3301 ha row 3 : 3 | svydovets | zakarpattia | carpathian biosphere reserve | 3030.5 ha | 5639.5 ha row 4 : 4 | maramoros | zakarpattia | carpathian biosphere reserve | 2243.6 ha | 6230.4 ha row 5 : 5 | kuziy / trybushany | zakarpattia | carpathian biosphere reserve | 1369.6 ha | 3163.4 ha row 6 : 6 | stuzhytsia / uzhok | zakarpattia | uzh national nature park | 2532 ha | 3615 ha row 7 : 7 | stuzica / bukovske vrchy | presov | poloniny national park | 2950 ha | 11300 ha row 8 : 8 | rozok | presov | presov preserved areas | 67.1 ha | 41.4 ha row 9 : 9 | vihorlat | presov | presov preserved areas | 2578 ha | 2413 ha row 10 : 10 | havesova | presov | presov preserved areas | 171.3 ha | 63.9 ha row 11 : 11 | jasmund | mecklenburg-vorpommern | jasmund national park | 492.5 ha | 2510.5 ha row 12 : 12 | serrahn | mecklenburg-vorpommern | muritz national park | 268.1 ha | 2568 ha row 13 : 13 | grumsiner forest | brandenburg | grumsiner forest nature reserve | 590.1 ha | 274.3 ha row 14 : 14 | hainich | thuringia | hainich national park | 1573.4 ha | 4085.4 ha row 15 : 15 | kellerwald | hesse | kellerwald-edersee national park | 1467.1 ha | 4271.4 ha | col : count ( "type of nature reserve" ) row 1 : 0 | select count ( type of nature reserve ) where massif = '274.3 ha' <table_name> : table \begin{tabular}{lllllll}
\toprule
& # & massif & region & type of nature reserve & preserved area & buffer zone \\
\midrule
0 & 1 & chornohora & zakarpattia & carpathian biosphere reserve & 2476.8 ha & 12925 ha \\
1 & 2 & uholka / wide meadow & zakarpattia & carpathian biosphere reserve & 11860 ha & 3301 ha \\
2 & 3 & svydovets & zakarpattia & carpathian biosphere reserve & 3030.5 ha & 5639.5 ha \\
3 & 4 & maramoros & zakarpattia & carpathian biosphere reserve & 2243.6 ha & 6230.4 ha \\
4 & 5 & kuziy / trybushany & zakarpattia & carpathian biosphere reserve & 1369.6 ha & 3163.4 ha \\
5 & 6 & stuzhytsia / uzhok & zakarpattia & uzh national nature park & 2532 ha & 3615 ha \\
6 & 7 & stuzica / bukovske vrchy & presov & poloniny national park & 2950 ha & 11300 ha \\
7 & 8 & rozok & presov & presov preserved areas & 67.1 ha & 41.4 ha \\
8 & 9 & vihorlat & presov & presov preserved areas & 2578 ha & 2413 ha \\
9 & 10 & havesova & presov & presov preserved areas & 171.3 ha & 63.9 ha \\
10 & 11 & jasmund & mecklenburg-vorpommern & jasmund national park & 492.5 ha & 2510.5 ha \\
11 & 12 & serrahn & mecklenburg-vorpommern & muritz national park & 268.1 ha & 2568 ha \\
12 & 13 & grumsiner forest & brandenburg & grumsiner forest nature reserve & 590.1 ha & 274.3 ha \\
13 & 14 & hainich & thuringia & hainich national park & 1573.4 ha & 4085.4 ha \\
14 & 15 & kellerwald & hesse & kellerwald-edersee national park & 1467.1 ha & 4271.4 ha \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "type of nature reserve" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( type of nature reserve ) where massif = '274.3 ha' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>massif</th>
<th>region</th>
<th>type of nature reserve</th>
<th>preserved area</th>
<th>buffer zone</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>chornohora</td>
<td>zakarpattia</td>
<td>carpathian biosphere reserve</td>
<td>2476.8 ha</td>
<td>12925 ha</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>uholka / wide meadow</td>
<td>zakarpattia</td>
<td>carpathian biosphere reserve</td>
<td>11860 ha</td>
<td>3301 ha</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>svydovets</td>
<td>zakarpattia</td>
<td>carpathian biosphere reserve</td>
<td>3030.5 ha</td>
<td>5639.5 ha</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>maramoros</td>
<td>zakarpattia</td>
<td>carpathian biosphere reserve</td>
<td>2243.6 ha</td>
<td>6230.4 ha</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>kuziy / trybushany</td>
<td>zakarpattia</td>
<td>carpathian biosphere reserve</td>
<td>1369.6 ha</td>
<td>3163.4 ha</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>stuzhytsia / uzhok</td>
<td>zakarpattia</td>
<td>uzh national nature park</td>
<td>2532 ha</td>
<td>3615 ha</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>stuzica / bukovske vrchy</td>
<td>presov</td>
<td>poloniny national park</td>
<td>2950 ha</td>
<td>11300 ha</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>rozok</td>
<td>presov</td>
<td>presov preserved areas</td>
<td>67.1 ha</td>
<td>41.4 ha</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>vihorlat</td>
<td>presov</td>
<td>presov preserved areas</td>
<td>2578 ha</td>
<td>2413 ha</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>havesova</td>
<td>presov</td>
<td>presov preserved areas</td>
<td>171.3 ha</td>
<td>63.9 ha</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>jasmund</td>
<td>mecklenburg-vorpommern</td>
<td>jasmund national park</td>
<td>492.5 ha</td>
<td>2510.5 ha</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>serrahn</td>
<td>mecklenburg-vorpommern</td>
<td>muritz national park</td>
<td>268.1 ha</td>
<td>2568 ha</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>grumsiner forest</td>
<td>brandenburg</td>
<td>grumsiner forest nature reserve</td>
<td>590.1 ha</td>
<td>274.3 ha</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>hainich</td>
<td>thuringia</td>
<td>hainich national park</td>
<td>1573.4 ha</td>
<td>4085.4 ha</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>kellerwald</td>
<td>hesse</td>
<td>kellerwald-edersee national park</td>
<td>1467.1 ha</td>
<td>4271.4 ha</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "type of nature reserve" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( type of nature reserve ) where massif = '274.3 ha' <table_name> : table | | # | massif | region | type of nature reserve | preserved area | buffer zone |
|---:|----:|:-------------------------|:-----------------------|:---------------------------------|:-----------------|:--------------|
| 0 | 1 | chornohora | zakarpattia | carpathian biosphere reserve | 2476.8 ha | 12925 ha |
| 1 | 2 | uholka / wide meadow | zakarpattia | carpathian biosphere reserve | 11860 ha | 3301 ha |
| 2 | 3 | svydovets | zakarpattia | carpathian biosphere reserve | 3030.5 ha | 5639.5 ha |
| 3 | 4 | maramoros | zakarpattia | carpathian biosphere reserve | 2243.6 ha | 6230.4 ha |
| 4 | 5 | kuziy / trybushany | zakarpattia | carpathian biosphere reserve | 1369.6 ha | 3163.4 ha |
| 5 | 6 | stuzhytsia / uzhok | zakarpattia | uzh national nature park | 2532 ha | 3615 ha |
| 6 | 7 | stuzica / bukovske vrchy | presov | poloniny national park | 2950 ha | 11300 ha |
| 7 | 8 | rozok | presov | presov preserved areas | 67.1 ha | 41.4 ha |
| 8 | 9 | vihorlat | presov | presov preserved areas | 2578 ha | 2413 ha |
| 9 | 10 | havesova | presov | presov preserved areas | 171.3 ha | 63.9 ha |
| 10 | 11 | jasmund | mecklenburg-vorpommern | jasmund national park | 492.5 ha | 2510.5 ha |
| 11 | 12 | serrahn | mecklenburg-vorpommern | muritz national park | 268.1 ha | 2568 ha |
| 12 | 13 | grumsiner forest | brandenburg | grumsiner forest nature reserve | 590.1 ha | 274.3 ha |
| 13 | 14 | hainich | thuringia | hainich national park | 1573.4 ha | 4085.4 ha |
| 14 | 15 | kellerwald | hesse | kellerwald-edersee national park | 1467.1 ha | 4271.4 ha | | | | count ( "type of nature reserve" ) |
|---:|-------------------------------------:|
| 0 | 0 | | [
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select count ( college ) where position > 1512 col : pick # | nfl team | player | position | college row 1 : 183 | tampa bay buccaneers | parnell dickinson | quarterback | mississippi valley state row 2 : 184 | seattle seahawks | dick dixon | defensive tackle | arkansas state row 3 : 185 | miami dolphins | joe ingersoll | guard | unlv row 4 : 186 | dallas cowboys | greg schaum | defensive tackle | michigan state row 5 : 187 | cincinnati bengals | bob bateman | quarterback | brown row 6 : 188 | new york jets | abdul salaam | defensive end | kent state row 7 : 189 | cleveland browns | steve cassidy | defensive tackle | louisiana state row 8 : 190 | chicago bears | jerry muckensturm | linebacker | arkansas state row 9 : 191 | philadelphia eagles | carl hairston | defensive end | maryland-eastern shore row 10 : 192 | cincinnati bengals | carmen rome | defensive back | miami (oh) row 11 : 193 | atlanta falcons | karl farmer | wide receiver | pittsburgh row 12 : 194 | san francisco 49ers | jay chesley | defensive back | vanderbilt row 13 : 195 | buffalo bills | jackie williams | defensive back | texas a&m row 14 : 196 | kansas city chiefs | rod wellington | running back | iowa row 15 : 197 | houston oilers | larry harris | defensive tackle | oklahoma state row 16 : 198 | detroit lions | garth ten napel | linebacker | texas a&m row 17 : 199 | new york jets | james richards | running back | florida row 18 : 200 | miami dolphins | john owens | defensive end | tennessee state row 19 : 201 | new orleans saints | ed bauer | guard | notre dame row 20 : 202 | new england patriots | perry brooks | defensive tackle | southern row 21 : 203 | st. louis cardinals | phil rogers | running back | virginia tech row 22 : 204 | oakland raiders | clarence chapman | wide receiver | eastern michigan row 23 : 205 | cincinnati bengals | ken kuhn | linebacker | ohio state row 24 : 206 | minnesota vikings | larry brune | defensive back | rice row 25 : 207 | los angeles rams | larry buie | defensive back | mississippi state row 26 : 208 | dallas cowboys | david williams | running back | colorado row 27 : 209 | pittsburgh steelers | barry burton | tight end | vanderbilt | col : count ( "college" ) row 1 : 27 | select count ( college ) where position > 1512 <table_name> : table \begin{tabular}{llllll}
\toprule
& pick # & nfl team & player & position & college \\
\midrule
0 & 183 & tampa bay buccaneers & parnell dickinson & quarterback & mississippi valley state \\
1 & 184 & seattle seahawks & dick dixon & defensive tackle & arkansas state \\
2 & 185 & miami dolphins & joe ingersoll & guard & unlv \\
3 & 186 & dallas cowboys & greg schaum & defensive tackle & michigan state \\
4 & 187 & cincinnati bengals & bob bateman & quarterback & brown \\
5 & 188 & new york jets & abdul salaam & defensive end & kent state \\
6 & 189 & cleveland browns & steve cassidy & defensive tackle & louisiana state \\
7 & 190 & chicago bears & jerry muckensturm & linebacker & arkansas state \\
8 & 191 & philadelphia eagles & carl hairston & defensive end & maryland-eastern shore \\
9 & 192 & cincinnati bengals & carmen rome & defensive back & miami (oh) \\
10 & 193 & atlanta falcons & karl farmer & wide receiver & pittsburgh \\
11 & 194 & san francisco 49ers & jay chesley & defensive back & vanderbilt \\
12 & 195 & buffalo bills & jackie williams & defensive back & texas a&m \\
13 & 196 & kansas city chiefs & rod wellington & running back & iowa \\
14 & 197 & houston oilers & larry harris & defensive tackle & oklahoma state \\
15 & 198 & detroit lions & garth ten napel & linebacker & texas a&m \\
16 & 199 & new york jets & james richards & running back & florida \\
17 & 200 & miami dolphins & john owens & defensive end & tennessee state \\
18 & 201 & new orleans saints & ed bauer & guard & notre dame \\
19 & 202 & new england patriots & perry brooks & defensive tackle & southern \\
20 & 203 & st. louis cardinals & phil rogers & running back & virginia tech \\
21 & 204 & oakland raiders & clarence chapman & wide receiver & eastern michigan \\
22 & 205 & cincinnati bengals & ken kuhn & linebacker & ohio state \\
23 & 206 & minnesota vikings & larry brune & defensive back & rice \\
24 & 207 & los angeles rams & larry buie & defensive back & mississippi state \\
25 & 208 & dallas cowboys & david williams & running back & colorado \\
26 & 209 & pittsburgh steelers & barry burton & tight end & vanderbilt \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "college" ) \\
\midrule
0 & 27 \\
\bottomrule
\end{tabular}
| select count ( college ) where position > 1512 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pick #</th>
<th>nfl team</th>
<th>player</th>
<th>position</th>
<th>college</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>183</td>
<td>tampa bay buccaneers</td>
<td>parnell dickinson</td>
<td>quarterback</td>
<td>mississippi valley state</td>
</tr>
<tr>
<th>1</th>
<td>184</td>
<td>seattle seahawks</td>
<td>dick dixon</td>
<td>defensive tackle</td>
<td>arkansas state</td>
</tr>
<tr>
<th>2</th>
<td>185</td>
<td>miami dolphins</td>
<td>joe ingersoll</td>
<td>guard</td>
<td>unlv</td>
</tr>
<tr>
<th>3</th>
<td>186</td>
<td>dallas cowboys</td>
<td>greg schaum</td>
<td>defensive tackle</td>
<td>michigan state</td>
</tr>
<tr>
<th>4</th>
<td>187</td>
<td>cincinnati bengals</td>
<td>bob bateman</td>
<td>quarterback</td>
<td>brown</td>
</tr>
<tr>
<th>5</th>
<td>188</td>
<td>new york jets</td>
<td>abdul salaam</td>
<td>defensive end</td>
<td>kent state</td>
</tr>
<tr>
<th>6</th>
<td>189</td>
<td>cleveland browns</td>
<td>steve cassidy</td>
<td>defensive tackle</td>
<td>louisiana state</td>
</tr>
<tr>
<th>7</th>
<td>190</td>
<td>chicago bears</td>
<td>jerry muckensturm</td>
<td>linebacker</td>
<td>arkansas state</td>
</tr>
<tr>
<th>8</th>
<td>191</td>
<td>philadelphia eagles</td>
<td>carl hairston</td>
<td>defensive end</td>
<td>maryland-eastern shore</td>
</tr>
<tr>
<th>9</th>
<td>192</td>
<td>cincinnati bengals</td>
<td>carmen rome</td>
<td>defensive back</td>
<td>miami (oh)</td>
</tr>
<tr>
<th>10</th>
<td>193</td>
<td>atlanta falcons</td>
<td>karl farmer</td>
<td>wide receiver</td>
<td>pittsburgh</td>
</tr>
<tr>
<th>11</th>
<td>194</td>
<td>san francisco 49ers</td>
<td>jay chesley</td>
<td>defensive back</td>
<td>vanderbilt</td>
</tr>
<tr>
<th>12</th>
<td>195</td>
<td>buffalo bills</td>
<td>jackie williams</td>
<td>defensive back</td>
<td>texas a&m</td>
</tr>
<tr>
<th>13</th>
<td>196</td>
<td>kansas city chiefs</td>
<td>rod wellington</td>
<td>running back</td>
<td>iowa</td>
</tr>
<tr>
<th>14</th>
<td>197</td>
<td>houston oilers</td>
<td>larry harris</td>
<td>defensive tackle</td>
<td>oklahoma state</td>
</tr>
<tr>
<th>15</th>
<td>198</td>
<td>detroit lions</td>
<td>garth ten napel</td>
<td>linebacker</td>
<td>texas a&m</td>
</tr>
<tr>
<th>16</th>
<td>199</td>
<td>new york jets</td>
<td>james richards</td>
<td>running back</td>
<td>florida</td>
</tr>
<tr>
<th>17</th>
<td>200</td>
<td>miami dolphins</td>
<td>john owens</td>
<td>defensive end</td>
<td>tennessee state</td>
</tr>
<tr>
<th>18</th>
<td>201</td>
<td>new orleans saints</td>
<td>ed bauer</td>
<td>guard</td>
<td>notre dame</td>
</tr>
<tr>
<th>19</th>
<td>202</td>
<td>new england patriots</td>
<td>perry brooks</td>
<td>defensive tackle</td>
<td>southern</td>
</tr>
<tr>
<th>20</th>
<td>203</td>
<td>st. louis cardinals</td>
<td>phil rogers</td>
<td>running back</td>
<td>virginia tech</td>
</tr>
<tr>
<th>21</th>
<td>204</td>
<td>oakland raiders</td>
<td>clarence chapman</td>
<td>wide receiver</td>
<td>eastern michigan</td>
</tr>
<tr>
<th>22</th>
<td>205</td>
<td>cincinnati bengals</td>
<td>ken kuhn</td>
<td>linebacker</td>
<td>ohio state</td>
</tr>
<tr>
<th>23</th>
<td>206</td>
<td>minnesota vikings</td>
<td>larry brune</td>
<td>defensive back</td>
<td>rice</td>
</tr>
<tr>
<th>24</th>
<td>207</td>
<td>los angeles rams</td>
<td>larry buie</td>
<td>defensive back</td>
<td>mississippi state</td>
</tr>
<tr>
<th>25</th>
<td>208</td>
<td>dallas cowboys</td>
<td>david williams</td>
<td>running back</td>
<td>colorado</td>
</tr>
<tr>
<th>26</th>
<td>209</td>
<td>pittsburgh steelers</td>
<td>barry burton</td>
<td>tight end</td>
<td>vanderbilt</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "college" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>27</td>
</tr>
</tbody>
</table> | select count ( college ) where position > 1512 <table_name> : table | | pick # | nfl team | player | position | college |
|---:|---------:|:---------------------|:------------------|:-----------------|:-------------------------|
| 0 | 183 | tampa bay buccaneers | parnell dickinson | quarterback | mississippi valley state |
| 1 | 184 | seattle seahawks | dick dixon | defensive tackle | arkansas state |
| 2 | 185 | miami dolphins | joe ingersoll | guard | unlv |
| 3 | 186 | dallas cowboys | greg schaum | defensive tackle | michigan state |
| 4 | 187 | cincinnati bengals | bob bateman | quarterback | brown |
| 5 | 188 | new york jets | abdul salaam | defensive end | kent state |
| 6 | 189 | cleveland browns | steve cassidy | defensive tackle | louisiana state |
| 7 | 190 | chicago bears | jerry muckensturm | linebacker | arkansas state |
| 8 | 191 | philadelphia eagles | carl hairston | defensive end | maryland-eastern shore |
| 9 | 192 | cincinnati bengals | carmen rome | defensive back | miami (oh) |
| 10 | 193 | atlanta falcons | karl farmer | wide receiver | pittsburgh |
| 11 | 194 | san francisco 49ers | jay chesley | defensive back | vanderbilt |
| 12 | 195 | buffalo bills | jackie williams | defensive back | texas a&m |
| 13 | 196 | kansas city chiefs | rod wellington | running back | iowa |
| 14 | 197 | houston oilers | larry harris | defensive tackle | oklahoma state |
| 15 | 198 | detroit lions | garth ten napel | linebacker | texas a&m |
| 16 | 199 | new york jets | james richards | running back | florida |
| 17 | 200 | miami dolphins | john owens | defensive end | tennessee state |
| 18 | 201 | new orleans saints | ed bauer | guard | notre dame |
| 19 | 202 | new england patriots | perry brooks | defensive tackle | southern |
| 20 | 203 | st. louis cardinals | phil rogers | running back | virginia tech |
| 21 | 204 | oakland raiders | clarence chapman | wide receiver | eastern michigan |
| 22 | 205 | cincinnati bengals | ken kuhn | linebacker | ohio state |
| 23 | 206 | minnesota vikings | larry brune | defensive back | rice |
| 24 | 207 | los angeles rams | larry buie | defensive back | mississippi state |
| 25 | 208 | dallas cowboys | david williams | running back | colorado |
| 26 | 209 | pittsburgh steelers | barry burton | tight end | vanderbilt | | | | count ( "college" ) |
|---:|----------------------:|
| 0 | 27 | | [
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select count ( performer ) where year = 1981 col : album/single | performer | year | variant | notes row 1 : the english and scottish popular ballads vol 3 | ewan maccoll | 1956 | gil morice | the earliest known professional recording (8'37") row 2 : blood and roses vol 2 | ewan maccoll | 1981 | child maurice | this is a different version from maccoll's 1956 recording row 3 : right of passage | martin carthy | 1988 | bill norrie | none row 4 : kornog | kornog | 2000 | child noryce | the only known version by a french band row 5 : the furrowed field | damien barber | 2000 | bill norrie | none row 6 : songs | spiers and boden | 2005 | child morris | none row 7 : at ruskin mill | martin carthy | 2005 | bill norrie | the longest recorded version (9'06") | col : count ( "performer" ) row 1 : 1 | select count ( performer ) where year = 1981 <table_name> : table \begin{tabular}{llllll}
\toprule
& album/single & performer & year & variant & notes \\
\midrule
0 & the english and scottish popular ballads vol 3 & ewan maccoll & 1956 & gil morice & the earliest known professional recording (8'37") \\
1 & blood and roses vol 2 & ewan maccoll & 1981 & child maurice & this is a different version from maccoll's 1956 recording \\
2 & right of passage & martin carthy & 1988 & bill norrie & none \\
3 & kornog & kornog & 2000 & child noryce & the only known version by a french band \\
4 & the furrowed field & damien barber & 2000 & bill norrie & none \\
5 & songs & spiers and boden & 2005 & child morris & none \\
6 & at ruskin mill & martin carthy & 2005 & bill norrie & the longest recorded version (9'06") \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "performer" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( performer ) where year = 1981 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>album/single</th>
<th>performer</th>
<th>year</th>
<th>variant</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>the english and scottish popular ballads vol 3</td>
<td>ewan maccoll</td>
<td>1956</td>
<td>gil morice</td>
<td>the earliest known professional recording (8'37")</td>
</tr>
<tr>
<th>1</th>
<td>blood and roses vol 2</td>
<td>ewan maccoll</td>
<td>1981</td>
<td>child maurice</td>
<td>this is a different version from maccoll's 1956 recording</td>
</tr>
<tr>
<th>2</th>
<td>right of passage</td>
<td>martin carthy</td>
<td>1988</td>
<td>bill norrie</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>kornog</td>
<td>kornog</td>
<td>2000</td>
<td>child noryce</td>
<td>the only known version by a french band</td>
</tr>
<tr>
<th>4</th>
<td>the furrowed field</td>
<td>damien barber</td>
<td>2000</td>
<td>bill norrie</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>songs</td>
<td>spiers and boden</td>
<td>2005</td>
<td>child morris</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>at ruskin mill</td>
<td>martin carthy</td>
<td>2005</td>
<td>bill norrie</td>
<td>the longest recorded version (9'06")</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "performer" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( performer ) where year = 1981 <table_name> : table | | album/single | performer | year | variant | notes |
|---:|:-----------------------------------------------|:-----------------|-------:|:--------------|:----------------------------------------------------------|
| 0 | the english and scottish popular ballads vol 3 | ewan maccoll | 1956 | gil morice | the earliest known professional recording (8'37") |
| 1 | blood and roses vol 2 | ewan maccoll | 1981 | child maurice | this is a different version from maccoll's 1956 recording |
| 2 | right of passage | martin carthy | 1988 | bill norrie | none |
| 3 | kornog | kornog | 2000 | child noryce | the only known version by a french band |
| 4 | the furrowed field | damien barber | 2000 | bill norrie | none |
| 5 | songs | spiers and boden | 2005 | child morris | none |
| 6 | at ruskin mill | martin carthy | 2005 | bill norrie | the longest recorded version (9'06") | | | | count ( "performer" ) |
|---:|------------------------:|
| 0 | 1 | | [
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select result where points against = 6 col : week | date | result | record | opponent | points for | points against | first downs | attendance row 1 : 1 | september 18 | win | 1-0 | at minnesota vikings | 16 | 10 | 16 | 47,678 row 2 : 2 | september 25 | win | 2-0 | new york giants | 41 | 21 | 25 | 64,215 row 3 : 3 | october 2 | win | 3-0 | tampa bay buccaneers | 23 | 7 | 23 | 55,316 row 4 : 4 | october 9 | win | 4-0 | at st. louis cardinals | 30 | 24 | 22 | 50,129 row 5 : 5 | october 16 | win | 5-0 | washington redskins | 34 | 16 | 23 | 62,115 row 6 : 6 | october 23 | win | 6-0 | at philadelphia eagles | 16 | 10 | 17 | 65,507 row 7 : 7 | october 30 | win | 7-0 | detroit lions | 37 | 0 | 20 | 63,160 row 8 : 8 | november 6 | win | 8-0 | at new york giants | 24 | 10 | 13 | 74,532 row 9 : 9 | november 14 | loss | 8-1 | st. louis cardinals | 17 | 24 | 16 | 64,038 row 10 : 10 | november 20 | loss | 8-2 | at pittsburgh steelers | 13 | 28 | 20 | 49,761 row 11 : 11 | november 27 | win | 9-2 | at washington redskins | 14 | 7 | 19 | 55,031 row 12 : 12 | december 4 | win | 10-2 | philadelphia eagles | 24 | 14 | 19 | 60,289 row 13 : 13 | december 12 | win | 11-2 | at san francisco 49ers | 42 | 35 | 24 | 55,851 row 14 : 14 | december 18 | win | 12-2 | denver broncos | 14 | 6 | 15 | 63,752 | col : result row 1 : win | select result where points against = 6 <table_name> : table \begin{tabular}{llllllllll}
\toprule
& week & date & result & record & opponent & points for & points against & first downs & attendance \\
\midrule
0 & 1 & september 18 & win & 1-0 & at minnesota vikings & 16 & 10 & 16 & 47,678 \\
1 & 2 & september 25 & win & 2-0 & new york giants & 41 & 21 & 25 & 64,215 \\
2 & 3 & october 2 & win & 3-0 & tampa bay buccaneers & 23 & 7 & 23 & 55,316 \\
3 & 4 & october 9 & win & 4-0 & at st. louis cardinals & 30 & 24 & 22 & 50,129 \\
4 & 5 & october 16 & win & 5-0 & washington redskins & 34 & 16 & 23 & 62,115 \\
5 & 6 & october 23 & win & 6-0 & at philadelphia eagles & 16 & 10 & 17 & 65,507 \\
6 & 7 & october 30 & win & 7-0 & detroit lions & 37 & 0 & 20 & 63,160 \\
7 & 8 & november 6 & win & 8-0 & at new york giants & 24 & 10 & 13 & 74,532 \\
8 & 9 & november 14 & loss & 8-1 & st. louis cardinals & 17 & 24 & 16 & 64,038 \\
9 & 10 & november 20 & loss & 8-2 & at pittsburgh steelers & 13 & 28 & 20 & 49,761 \\
10 & 11 & november 27 & win & 9-2 & at washington redskins & 14 & 7 & 19 & 55,031 \\
11 & 12 & december 4 & win & 10-2 & philadelphia eagles & 24 & 14 & 19 & 60,289 \\
12 & 13 & december 12 & win & 11-2 & at san francisco 49ers & 42 & 35 & 24 & 55,851 \\
13 & 14 & december 18 & win & 12-2 & denver broncos & 14 & 6 & 15 & 63,752 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& result \\
\midrule
0 & win \\
\bottomrule
\end{tabular}
| select result where points against = 6 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>result</th>
<th>record</th>
<th>opponent</th>
<th>points for</th>
<th>points against</th>
<th>first downs</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>september 18</td>
<td>win</td>
<td>1-0</td>
<td>at minnesota vikings</td>
<td>16</td>
<td>10</td>
<td>16</td>
<td>47,678</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>september 25</td>
<td>win</td>
<td>2-0</td>
<td>new york giants</td>
<td>41</td>
<td>21</td>
<td>25</td>
<td>64,215</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>october 2</td>
<td>win</td>
<td>3-0</td>
<td>tampa bay buccaneers</td>
<td>23</td>
<td>7</td>
<td>23</td>
<td>55,316</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>october 9</td>
<td>win</td>
<td>4-0</td>
<td>at st. louis cardinals</td>
<td>30</td>
<td>24</td>
<td>22</td>
<td>50,129</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>october 16</td>
<td>win</td>
<td>5-0</td>
<td>washington redskins</td>
<td>34</td>
<td>16</td>
<td>23</td>
<td>62,115</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>october 23</td>
<td>win</td>
<td>6-0</td>
<td>at philadelphia eagles</td>
<td>16</td>
<td>10</td>
<td>17</td>
<td>65,507</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>october 30</td>
<td>win</td>
<td>7-0</td>
<td>detroit lions</td>
<td>37</td>
<td>0</td>
<td>20</td>
<td>63,160</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>november 6</td>
<td>win</td>
<td>8-0</td>
<td>at new york giants</td>
<td>24</td>
<td>10</td>
<td>13</td>
<td>74,532</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>november 14</td>
<td>loss</td>
<td>8-1</td>
<td>st. louis cardinals</td>
<td>17</td>
<td>24</td>
<td>16</td>
<td>64,038</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>november 20</td>
<td>loss</td>
<td>8-2</td>
<td>at pittsburgh steelers</td>
<td>13</td>
<td>28</td>
<td>20</td>
<td>49,761</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>november 27</td>
<td>win</td>
<td>9-2</td>
<td>at washington redskins</td>
<td>14</td>
<td>7</td>
<td>19</td>
<td>55,031</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>december 4</td>
<td>win</td>
<td>10-2</td>
<td>philadelphia eagles</td>
<td>24</td>
<td>14</td>
<td>19</td>
<td>60,289</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>december 12</td>
<td>win</td>
<td>11-2</td>
<td>at san francisco 49ers</td>
<td>42</td>
<td>35</td>
<td>24</td>
<td>55,851</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>december 18</td>
<td>win</td>
<td>12-2</td>
<td>denver broncos</td>
<td>14</td>
<td>6</td>
<td>15</td>
<td>63,752</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>win</td>
</tr>
</tbody>
</table> | select result where points against = 6 <table_name> : table | | week | date | result | record | opponent | points for | points against | first downs | attendance |
|---:|-------:|:-------------|:---------|:---------|:-----------------------|-------------:|-----------------:|--------------:|:-------------|
| 0 | 1 | september 18 | win | 1-0 | at minnesota vikings | 16 | 10 | 16 | 47,678 |
| 1 | 2 | september 25 | win | 2-0 | new york giants | 41 | 21 | 25 | 64,215 |
| 2 | 3 | october 2 | win | 3-0 | tampa bay buccaneers | 23 | 7 | 23 | 55,316 |
| 3 | 4 | october 9 | win | 4-0 | at st. louis cardinals | 30 | 24 | 22 | 50,129 |
| 4 | 5 | october 16 | win | 5-0 | washington redskins | 34 | 16 | 23 | 62,115 |
| 5 | 6 | october 23 | win | 6-0 | at philadelphia eagles | 16 | 10 | 17 | 65,507 |
| 6 | 7 | october 30 | win | 7-0 | detroit lions | 37 | 0 | 20 | 63,160 |
| 7 | 8 | november 6 | win | 8-0 | at new york giants | 24 | 10 | 13 | 74,532 |
| 8 | 9 | november 14 | loss | 8-1 | st. louis cardinals | 17 | 24 | 16 | 64,038 |
| 9 | 10 | november 20 | loss | 8-2 | at pittsburgh steelers | 13 | 28 | 20 | 49,761 |
| 10 | 11 | november 27 | win | 9-2 | at washington redskins | 14 | 7 | 19 | 55,031 |
| 11 | 12 | december 4 | win | 10-2 | philadelphia eagles | 24 | 14 | 19 | 60,289 |
| 12 | 13 | december 12 | win | 11-2 | at san francisco 49ers | 42 | 35 | 24 | 55,851 |
| 13 | 14 | december 18 | win | 12-2 | denver broncos | 14 | 6 | 15 | 63,752 | | | | result |
|---:|:---------|
| 0 | win | | [
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select count ( notes ) where notes = 'tallest building constructed in columbus in the 1980s' col : rank | name | height ft / m | floors | year | notes row 1 : 1 | rhodes state office tower | 629 / 192 | 41 | 1973 | has been the tallest building in columbus and the tallest mid-block skyscraper in ohio since 1973. tallest building constructed in columbus in the 1970s row 2 : 2 | leveque tower | 555 / 169 | 47 | 1927 | tallest building constructed in columbus in the 1920s row 3 : 3 | william green building | 530 / 162 | 33 | 1990 | tallest building constructed in columbus in the 1990s row 4 : 4 | huntington center | 512 / 156 | 37 | 1984 | tallest building constructed in columbus in the 1980s row 5 : 5 | vern riffe state office tower | 503 / 153 | 32 | 1988 | none row 6 : 6 | one nationwide plaza | 485 / 148 | 40 | 1976 | none row 7 : 7 | franklin county courthouse | 464 / 141 | 27 | 1991 | none row 8 : 8 | aep building | 456 / 139 | 31 | 1983 | none row 9 : 9 | borden building | 438 / 134 | 34 | 1974 | none row 10 : 10 | three nationwide plaza | 408 / 124 | 27 | 1989 | none row 11 : 11 | one columbus center | 366 / 112 | 26 | 1987 | none row 12 : 12 | columbus center | 357 / 109 | 25 | 1964 | tallest building constructed in columbus in the 1960s. was built as the bank one tower row 13 : 13 | capitol square | 350 / 107 | 26 | 1984 | none row 14 : 14 | continental center | 348 / 106 | 26 | 1973 | none row 15 : 15 | pnc bank building | 317 / 97 | 25 | 1977 | none row 16 : 16 | miranova condominiums | 314 / 96 | 26 | 2001 | tallest residential building in the state of ohio. tallest building built in the 2000s row 17 : 17 | fifth third center | 302 / 92 | 25 | 1998 | none row 18 : 18 | motorists mutual building | 286 / 87 | 21 | 1973 | none row 19 : 19 | midland building | 280 / 85 | 21 | 1970 | none row 20 : 20 | the condominiums at north bank park | 267 / 81 | 20 | 2007 | none row 21 : 21= | lincoln tower dormitory | 260 / 79 | 26 | 1967 | none row 22 : 21= | morrill tower dormitory | 260 / 79 | 26 | 1967 | none row 23 : 23 | hyatt regency columbus | 256 / 78 | 20 | 1980 | none row 24 : 24 | key bank building | 253 / 77 | 20 | 1963 | none row 25 : 25 | adam's mark hotel | 243 / 74 | 16 | 1961 | none row 26 : 26 | town center | 226 / 69 | 17 | 1974 | none row 27 : 27 | 8 east broad street | 212 / 64.6 | 17 | 1906 | none row 28 : 28 | huntington building | 202 / 59.4 | 13 | 1926 | none row 29 : 29 | ohio judicial center | 200 / 57.9 | 14 | 1933 | none row 30 : 30 | 16 east broad street | 180 / 64.4 | 13 | 1900 | none | col : count ( "notes" ) row 1 : 1 | select count ( notes ) where notes = 'tallest building constructed in columbus in the 1980s' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & name & height ft / m & floors & year & notes \\
\midrule
0 & 1 & rhodes state office tower & 629 / 192 & 41 & 1973 & has been the tallest building in columbus and the tallest mid-block skyscraper in ohio since 1973. tallest building constructed in columbus in the 1970s \\
1 & 2 & leveque tower & 555 / 169 & 47 & 1927 & tallest building constructed in columbus in the 1920s \\
2 & 3 & william green building & 530 / 162 & 33 & 1990 & tallest building constructed in columbus in the 1990s \\
3 & 4 & huntington center & 512 / 156 & 37 & 1984 & tallest building constructed in columbus in the 1980s \\
4 & 5 & vern riffe state office tower & 503 / 153 & 32 & 1988 & none \\
5 & 6 & one nationwide plaza & 485 / 148 & 40 & 1976 & none \\
6 & 7 & franklin county courthouse & 464 / 141 & 27 & 1991 & none \\
7 & 8 & aep building & 456 / 139 & 31 & 1983 & none \\
8 & 9 & borden building & 438 / 134 & 34 & 1974 & none \\
9 & 10 & three nationwide plaza & 408 / 124 & 27 & 1989 & none \\
10 & 11 & one columbus center & 366 / 112 & 26 & 1987 & none \\
11 & 12 & columbus center & 357 / 109 & 25 & 1964 & tallest building constructed in columbus in the 1960s. was built as the bank one tower \\
12 & 13 & capitol square & 350 / 107 & 26 & 1984 & none \\
13 & 14 & continental center & 348 / 106 & 26 & 1973 & none \\
14 & 15 & pnc bank building & 317 / 97 & 25 & 1977 & none \\
15 & 16 & miranova condominiums & 314 / 96 & 26 & 2001 & tallest residential building in the state of ohio. tallest building built in the 2000s \\
16 & 17 & fifth third center & 302 / 92 & 25 & 1998 & none \\
17 & 18 & motorists mutual building & 286 / 87 & 21 & 1973 & none \\
18 & 19 & midland building & 280 / 85 & 21 & 1970 & none \\
19 & 20 & the condominiums at north bank park & 267 / 81 & 20 & 2007 & none \\
20 & 21= & lincoln tower dormitory & 260 / 79 & 26 & 1967 & none \\
21 & 21= & morrill tower dormitory & 260 / 79 & 26 & 1967 & none \\
22 & 23 & hyatt regency columbus & 256 / 78 & 20 & 1980 & none \\
23 & 24 & key bank building & 253 / 77 & 20 & 1963 & none \\
24 & 25 & adam's mark hotel & 243 / 74 & 16 & 1961 & none \\
25 & 26 & town center & 226 / 69 & 17 & 1974 & none \\
26 & 27 & 8 east broad street & 212 / 64.6 & 17 & 1906 & none \\
27 & 28 & huntington building & 202 / 59.4 & 13 & 1926 & none \\
28 & 29 & ohio judicial center & 200 / 57.9 & 14 & 1933 & none \\
29 & 30 & 16 east broad street & 180 / 64.4 & 13 & 1900 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "notes" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( notes ) where notes = 'tallest building constructed in columbus in the 1980s' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>name</th>
<th>height ft / m</th>
<th>floors</th>
<th>year</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>rhodes state office tower</td>
<td>629 / 192</td>
<td>41</td>
<td>1973</td>
<td>has been the tallest building in columbus and the tallest mid-block skyscraper in ohio since 1973. tallest building constructed in columbus in the 1970s</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>leveque tower</td>
<td>555 / 169</td>
<td>47</td>
<td>1927</td>
<td>tallest building constructed in columbus in the 1920s</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>william green building</td>
<td>530 / 162</td>
<td>33</td>
<td>1990</td>
<td>tallest building constructed in columbus in the 1990s</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>huntington center</td>
<td>512 / 156</td>
<td>37</td>
<td>1984</td>
<td>tallest building constructed in columbus in the 1980s</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>vern riffe state office tower</td>
<td>503 / 153</td>
<td>32</td>
<td>1988</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>one nationwide plaza</td>
<td>485 / 148</td>
<td>40</td>
<td>1976</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>franklin county courthouse</td>
<td>464 / 141</td>
<td>27</td>
<td>1991</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>aep building</td>
<td>456 / 139</td>
<td>31</td>
<td>1983</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>borden building</td>
<td>438 / 134</td>
<td>34</td>
<td>1974</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>three nationwide plaza</td>
<td>408 / 124</td>
<td>27</td>
<td>1989</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>one columbus center</td>
<td>366 / 112</td>
<td>26</td>
<td>1987</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>columbus center</td>
<td>357 / 109</td>
<td>25</td>
<td>1964</td>
<td>tallest building constructed in columbus in the 1960s. was built as the bank one tower</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>capitol square</td>
<td>350 / 107</td>
<td>26</td>
<td>1984</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>continental center</td>
<td>348 / 106</td>
<td>26</td>
<td>1973</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>pnc bank building</td>
<td>317 / 97</td>
<td>25</td>
<td>1977</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>miranova condominiums</td>
<td>314 / 96</td>
<td>26</td>
<td>2001</td>
<td>tallest residential building in the state of ohio. tallest building built in the 2000s</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>fifth third center</td>
<td>302 / 92</td>
<td>25</td>
<td>1998</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>motorists mutual building</td>
<td>286 / 87</td>
<td>21</td>
<td>1973</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>midland building</td>
<td>280 / 85</td>
<td>21</td>
<td>1970</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>the condominiums at north bank park</td>
<td>267 / 81</td>
<td>20</td>
<td>2007</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>21=</td>
<td>lincoln tower dormitory</td>
<td>260 / 79</td>
<td>26</td>
<td>1967</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>21=</td>
<td>morrill tower dormitory</td>
<td>260 / 79</td>
<td>26</td>
<td>1967</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>hyatt regency columbus</td>
<td>256 / 78</td>
<td>20</td>
<td>1980</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>key bank building</td>
<td>253 / 77</td>
<td>20</td>
<td>1963</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>adam's mark hotel</td>
<td>243 / 74</td>
<td>16</td>
<td>1961</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>town center</td>
<td>226 / 69</td>
<td>17</td>
<td>1974</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>27</td>
<td>8 east broad street</td>
<td>212 / 64.6</td>
<td>17</td>
<td>1906</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>huntington building</td>
<td>202 / 59.4</td>
<td>13</td>
<td>1926</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>29</td>
<td>ohio judicial center</td>
<td>200 / 57.9</td>
<td>14</td>
<td>1933</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>30</td>
<td>16 east broad street</td>
<td>180 / 64.4</td>
<td>13</td>
<td>1900</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "notes" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( notes ) where notes = 'tallest building constructed in columbus in the 1980s' <table_name> : table | | rank | name | height ft / m | floors | year | notes |
|---:|:-------|:------------------------------------|:----------------|---------:|-------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 1 | rhodes state office tower | 629 / 192 | 41 | 1973 | has been the tallest building in columbus and the tallest mid-block skyscraper in ohio since 1973. tallest building constructed in columbus in the 1970s |
| 1 | 2 | leveque tower | 555 / 169 | 47 | 1927 | tallest building constructed in columbus in the 1920s |
| 2 | 3 | william green building | 530 / 162 | 33 | 1990 | tallest building constructed in columbus in the 1990s |
| 3 | 4 | huntington center | 512 / 156 | 37 | 1984 | tallest building constructed in columbus in the 1980s |
| 4 | 5 | vern riffe state office tower | 503 / 153 | 32 | 1988 | none |
| 5 | 6 | one nationwide plaza | 485 / 148 | 40 | 1976 | none |
| 6 | 7 | franklin county courthouse | 464 / 141 | 27 | 1991 | none |
| 7 | 8 | aep building | 456 / 139 | 31 | 1983 | none |
| 8 | 9 | borden building | 438 / 134 | 34 | 1974 | none |
| 9 | 10 | three nationwide plaza | 408 / 124 | 27 | 1989 | none |
| 10 | 11 | one columbus center | 366 / 112 | 26 | 1987 | none |
| 11 | 12 | columbus center | 357 / 109 | 25 | 1964 | tallest building constructed in columbus in the 1960s. was built as the bank one tower |
| 12 | 13 | capitol square | 350 / 107 | 26 | 1984 | none |
| 13 | 14 | continental center | 348 / 106 | 26 | 1973 | none |
| 14 | 15 | pnc bank building | 317 / 97 | 25 | 1977 | none |
| 15 | 16 | miranova condominiums | 314 / 96 | 26 | 2001 | tallest residential building in the state of ohio. tallest building built in the 2000s |
| 16 | 17 | fifth third center | 302 / 92 | 25 | 1998 | none |
| 17 | 18 | motorists mutual building | 286 / 87 | 21 | 1973 | none |
| 18 | 19 | midland building | 280 / 85 | 21 | 1970 | none |
| 19 | 20 | the condominiums at north bank park | 267 / 81 | 20 | 2007 | none |
| 20 | 21= | lincoln tower dormitory | 260 / 79 | 26 | 1967 | none |
| 21 | 21= | morrill tower dormitory | 260 / 79 | 26 | 1967 | none |
| 22 | 23 | hyatt regency columbus | 256 / 78 | 20 | 1980 | none |
| 23 | 24 | key bank building | 253 / 77 | 20 | 1963 | none |
| 24 | 25 | adam's mark hotel | 243 / 74 | 16 | 1961 | none |
| 25 | 26 | town center | 226 / 69 | 17 | 1974 | none |
| 26 | 27 | 8 east broad street | 212 / 64.6 | 17 | 1906 | none |
| 27 | 28 | huntington building | 202 / 59.4 | 13 | 1926 | none |
| 28 | 29 | ohio judicial center | 200 / 57.9 | 14 | 1933 | none |
| 29 | 30 | 16 east broad street | 180 / 64.4 | 13 | 1900 | none | | | | count ( "notes" ) |
|---:|--------------------:|
| 0 | 1 | | [
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select count ( * ) where competition = 'world championships' and venue = 308 col : year | competition | venue | position | notes row 1 : 1991 | european junior championships | thessaloniki, greece | 10th | 4.90 m row 2 : 1992 | world junior championships | seoul, south korea | 1st | 5.45 m row 3 : 1996 | european indoor championships | stockholm, sweden | 14th (q) | 5.45 m row 4 : 1996 | olympic games | atlanta, united states | 23rd (q) | 5.40 m row 5 : 1997 | world championships | athens, greece | 27th (q) | 5.30 m row 6 : 1998 | european championships | budapest, hungary | 10th | 5.40 m row 7 : 2000 | european indoor championships | ghent, belgium | 13th (q) | 5.20 m row 8 : 2001 | universiade | beijing, pr china | 3rd | 5.60 m row 9 : 2005 | european indoor championships | madrid, spain | 15th (q) | 5.40 m row 10 : 2006 | world indoor championships | moscow, russia | 14th (q) | 5.45 m row 11 : 2006 | european championships | gothenburg, sweden | 8th | 5.50 m | col : count ( "*" ) row 1 : 0 | select count ( * ) where competition = 'world championships' and venue = 308 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 1991 & european junior championships & thessaloniki, greece & 10th & 4.90 m \\
1 & 1992 & world junior championships & seoul, south korea & 1st & 5.45 m \\
2 & 1996 & european indoor championships & stockholm, sweden & 14th (q) & 5.45 m \\
3 & 1996 & olympic games & atlanta, united states & 23rd (q) & 5.40 m \\
4 & 1997 & world championships & athens, greece & 27th (q) & 5.30 m \\
5 & 1998 & european championships & budapest, hungary & 10th & 5.40 m \\
6 & 2000 & european indoor championships & ghent, belgium & 13th (q) & 5.20 m \\
7 & 2001 & universiade & beijing, pr china & 3rd & 5.60 m \\
8 & 2005 & european indoor championships & madrid, spain & 15th (q) & 5.40 m \\
9 & 2006 & world indoor championships & moscow, russia & 14th (q) & 5.45 m \\
10 & 2006 & european championships & gothenburg, sweden & 8th & 5.50 m \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where competition = 'world championships' and venue = 308 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1991</td>
<td>european junior championships</td>
<td>thessaloniki, greece</td>
<td>10th</td>
<td>4.90 m</td>
</tr>
<tr>
<th>1</th>
<td>1992</td>
<td>world junior championships</td>
<td>seoul, south korea</td>
<td>1st</td>
<td>5.45 m</td>
</tr>
<tr>
<th>2</th>
<td>1996</td>
<td>european indoor championships</td>
<td>stockholm, sweden</td>
<td>14th (q)</td>
<td>5.45 m</td>
</tr>
<tr>
<th>3</th>
<td>1996</td>
<td>olympic games</td>
<td>atlanta, united states</td>
<td>23rd (q)</td>
<td>5.40 m</td>
</tr>
<tr>
<th>4</th>
<td>1997</td>
<td>world championships</td>
<td>athens, greece</td>
<td>27th (q)</td>
<td>5.30 m</td>
</tr>
<tr>
<th>5</th>
<td>1998</td>
<td>european championships</td>
<td>budapest, hungary</td>
<td>10th</td>
<td>5.40 m</td>
</tr>
<tr>
<th>6</th>
<td>2000</td>
<td>european indoor championships</td>
<td>ghent, belgium</td>
<td>13th (q)</td>
<td>5.20 m</td>
</tr>
<tr>
<th>7</th>
<td>2001</td>
<td>universiade</td>
<td>beijing, pr china</td>
<td>3rd</td>
<td>5.60 m</td>
</tr>
<tr>
<th>8</th>
<td>2005</td>
<td>european indoor championships</td>
<td>madrid, spain</td>
<td>15th (q)</td>
<td>5.40 m</td>
</tr>
<tr>
<th>9</th>
<td>2006</td>
<td>world indoor championships</td>
<td>moscow, russia</td>
<td>14th (q)</td>
<td>5.45 m</td>
</tr>
<tr>
<th>10</th>
<td>2006</td>
<td>european championships</td>
<td>gothenburg, sweden</td>
<td>8th</td>
<td>5.50 m</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where competition = 'world championships' and venue = 308 <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:------------------------------|:-----------------------|:-----------|:--------|
| 0 | 1991 | european junior championships | thessaloniki, greece | 10th | 4.90 m |
| 1 | 1992 | world junior championships | seoul, south korea | 1st | 5.45 m |
| 2 | 1996 | european indoor championships | stockholm, sweden | 14th (q) | 5.45 m |
| 3 | 1996 | olympic games | atlanta, united states | 23rd (q) | 5.40 m |
| 4 | 1997 | world championships | athens, greece | 27th (q) | 5.30 m |
| 5 | 1998 | european championships | budapest, hungary | 10th | 5.40 m |
| 6 | 2000 | european indoor championships | ghent, belgium | 13th (q) | 5.20 m |
| 7 | 2001 | universiade | beijing, pr china | 3rd | 5.60 m |
| 8 | 2005 | european indoor championships | madrid, spain | 15th (q) | 5.40 m |
| 9 | 2006 | world indoor championships | moscow, russia | 14th (q) | 5.45 m |
| 10 | 2006 | european championships | gothenburg, sweden | 8th | 5.50 m | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select number where builder = 'american car company' col : number | builder | type | date | length | notes row 1 : 51 | american car company | motor | 1904 | 47'9" | retired 1933 row 2 : 53 | american car company | motor | 1904 | 47'9" | retired 1933 row 3 : 55 | american car company | motor | 1904 | 47'9" | became inspection car in 1932 retired 1941 row 4 : 57 | american car company | motor | 1904 | 47'9" | became inspection car in 1932 retired 1941 row 5 : 59 | w. l. holman car company | motor | 1904 | 44' | retired 1932 row 6 : 61 | w. l. holman car company | motor | 1904 | 44' | retired 1932 row 7 : 63 | w. l. holman car company | motor | 1904 | 44' | retired 1932 preserved western railway museum row 8 : 65 | w. l. holman car company | motor | 1904 | 44' | retired 1932 row 9 : 67 | w. l. holman car company | motor | 1904 | 44' | retired 1932 row 10 : 69 | w. l. holman car company | motor | 1904 | 44' | converted to express trailer in 1919 retired 1932 row 11 : 71 | w. l. holman car company | trailer | 1905 | 44' | retired 1929 row 12 : 73 | w. l. holman car company | trailer | 1905 | 44' | retired 1929 row 13 : 1 | w. l. holman car company | express trailer | 1916 | none | built as #8 express motor demotorized 1917 designated express trailer 1920 retired 1933 | col : number row 1 : 51 row 2 : 53 row 3 : 55 row 4 : 57 | select number where builder = 'american car company' <table_name> : table \begin{tabular}{lllllll}
\toprule
& number & builder & type & date & length & notes \\
\midrule
0 & 51 & american car company & motor & 1904 & 47'9" & retired 1933 \\
1 & 53 & american car company & motor & 1904 & 47'9" & retired 1933 \\
2 & 55 & american car company & motor & 1904 & 47'9" & became inspection car in 1932 retired 1941 \\
3 & 57 & american car company & motor & 1904 & 47'9" & became inspection car in 1932 retired 1941 \\
4 & 59 & w. l. holman car company & motor & 1904 & 44' & retired 1932 \\
5 & 61 & w. l. holman car company & motor & 1904 & 44' & retired 1932 \\
6 & 63 & w. l. holman car company & motor & 1904 & 44' & retired 1932 preserved western railway museum \\
7 & 65 & w. l. holman car company & motor & 1904 & 44' & retired 1932 \\
8 & 67 & w. l. holman car company & motor & 1904 & 44' & retired 1932 \\
9 & 69 & w. l. holman car company & motor & 1904 & 44' & converted to express trailer in 1919 retired 1932 \\
10 & 71 & w. l. holman car company & trailer & 1905 & 44' & retired 1929 \\
11 & 73 & w. l. holman car company & trailer & 1905 & 44' & retired 1929 \\
12 & 1 & w. l. holman car company & express trailer & 1916 & none & built as #8 express motor demotorized 1917 designated express trailer 1920 retired 1933 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& number \\
\midrule
0 & 51 \\
1 & 53 \\
2 & 55 \\
3 & 57 \\
\bottomrule
\end{tabular}
| select number where builder = 'american car company' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>number</th>
<th>builder</th>
<th>type</th>
<th>date</th>
<th>length</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>51</td>
<td>american car company</td>
<td>motor</td>
<td>1904</td>
<td>47'9"</td>
<td>retired 1933</td>
</tr>
<tr>
<th>1</th>
<td>53</td>
<td>american car company</td>
<td>motor</td>
<td>1904</td>
<td>47'9"</td>
<td>retired 1933</td>
</tr>
<tr>
<th>2</th>
<td>55</td>
<td>american car company</td>
<td>motor</td>
<td>1904</td>
<td>47'9"</td>
<td>became inspection car in 1932 retired 1941</td>
</tr>
<tr>
<th>3</th>
<td>57</td>
<td>american car company</td>
<td>motor</td>
<td>1904</td>
<td>47'9"</td>
<td>became inspection car in 1932 retired 1941</td>
</tr>
<tr>
<th>4</th>
<td>59</td>
<td>w. l. holman car company</td>
<td>motor</td>
<td>1904</td>
<td>44'</td>
<td>retired 1932</td>
</tr>
<tr>
<th>5</th>
<td>61</td>
<td>w. l. holman car company</td>
<td>motor</td>
<td>1904</td>
<td>44'</td>
<td>retired 1932</td>
</tr>
<tr>
<th>6</th>
<td>63</td>
<td>w. l. holman car company</td>
<td>motor</td>
<td>1904</td>
<td>44'</td>
<td>retired 1932 preserved western railway museum</td>
</tr>
<tr>
<th>7</th>
<td>65</td>
<td>w. l. holman car company</td>
<td>motor</td>
<td>1904</td>
<td>44'</td>
<td>retired 1932</td>
</tr>
<tr>
<th>8</th>
<td>67</td>
<td>w. l. holman car company</td>
<td>motor</td>
<td>1904</td>
<td>44'</td>
<td>retired 1932</td>
</tr>
<tr>
<th>9</th>
<td>69</td>
<td>w. l. holman car company</td>
<td>motor</td>
<td>1904</td>
<td>44'</td>
<td>converted to express trailer in 1919 retired 1932</td>
</tr>
<tr>
<th>10</th>
<td>71</td>
<td>w. l. holman car company</td>
<td>trailer</td>
<td>1905</td>
<td>44'</td>
<td>retired 1929</td>
</tr>
<tr>
<th>11</th>
<td>73</td>
<td>w. l. holman car company</td>
<td>trailer</td>
<td>1905</td>
<td>44'</td>
<td>retired 1929</td>
</tr>
<tr>
<th>12</th>
<td>1</td>
<td>w. l. holman car company</td>
<td>express trailer</td>
<td>1916</td>
<td>none</td>
<td>built as #8 express motor demotorized 1917 designated express trailer 1920 retired 1933</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>number</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>51</td>
</tr>
<tr>
<th>1</th>
<td>53</td>
</tr>
<tr>
<th>2</th>
<td>55</td>
</tr>
<tr>
<th>3</th>
<td>57</td>
</tr>
</tbody>
</table> | select number where builder = 'american car company' <table_name> : table | | number | builder | type | date | length | notes |
|---:|---------:|:-------------------------|:----------------|-------:|:---------|:----------------------------------------------------------------------------------------|
| 0 | 51 | american car company | motor | 1904 | 47'9" | retired 1933 |
| 1 | 53 | american car company | motor | 1904 | 47'9" | retired 1933 |
| 2 | 55 | american car company | motor | 1904 | 47'9" | became inspection car in 1932 retired 1941 |
| 3 | 57 | american car company | motor | 1904 | 47'9" | became inspection car in 1932 retired 1941 |
| 4 | 59 | w. l. holman car company | motor | 1904 | 44' | retired 1932 |
| 5 | 61 | w. l. holman car company | motor | 1904 | 44' | retired 1932 |
| 6 | 63 | w. l. holman car company | motor | 1904 | 44' | retired 1932 preserved western railway museum |
| 7 | 65 | w. l. holman car company | motor | 1904 | 44' | retired 1932 |
| 8 | 67 | w. l. holman car company | motor | 1904 | 44' | retired 1932 |
| 9 | 69 | w. l. holman car company | motor | 1904 | 44' | converted to express trailer in 1919 retired 1932 |
| 10 | 71 | w. l. holman car company | trailer | 1905 | 44' | retired 1929 |
| 11 | 73 | w. l. holman car company | trailer | 1905 | 44' | retired 1929 |
| 12 | 1 | w. l. holman car company | express trailer | 1916 | none | built as #8 express motor demotorized 1917 designated express trailer 1920 retired 1933 | | | | number |
|---:|---------:|
| 0 | 51 |
| 1 | 53 |
| 2 | 55 |
| 3 | 57 | | [
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select year where role = 'the evil queen' col : year | film | role | notes row 1 : 1976 | liebesfallen | liane bruckner | none row 2 : 1976 | unser stiller mann | regina | none row 3 : 1979 | bildnis einer trinkerin | singer in a taxi drivers' bar | none row 4 : 1979 | cha-cha | none | none row 5 : 1983 | pankow '95 | jungfrau maria | none row 6 : 1996 | lilien in der bank | suzanne | none row 7 : 2000 | vasilisa | the witch | none row 8 : 2004 | 7 dwarves - men alone in the wood | the evil queen | hagen's daughter cosma played snow white row 9 : 2006 | 7 zwerge - der wald ist nicht genug | the evil queen | hagen's daughter cosma played snow white | col : year row 1 : 2004 row 2 : 2006 | select year where role = 'the evil queen' <table_name> : table \begin{tabular}{lllll}
\toprule
& year & film & role & notes \\
\midrule
0 & 1976 & liebesfallen & liane bruckner & none \\
1 & 1976 & unser stiller mann & regina & none \\
2 & 1979 & bildnis einer trinkerin & singer in a taxi drivers' bar & none \\
3 & 1979 & cha-cha & none & none \\
4 & 1983 & pankow '95 & jungfrau maria & none \\
5 & 1996 & lilien in der bank & suzanne & none \\
6 & 2000 & vasilisa & the witch & none \\
7 & 2004 & 7 dwarves - men alone in the wood & the evil queen & hagen's daughter cosma played snow white \\
8 & 2006 & 7 zwerge - der wald ist nicht genug & the evil queen & hagen's daughter cosma played snow white \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 2004 \\
1 & 2006 \\
\bottomrule
\end{tabular}
| select year where role = 'the evil queen' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>film</th>
<th>role</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1976</td>
<td>liebesfallen</td>
<td>liane bruckner</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1976</td>
<td>unser stiller mann</td>
<td>regina</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1979</td>
<td>bildnis einer trinkerin</td>
<td>singer in a taxi drivers' bar</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1979</td>
<td>cha-cha</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1983</td>
<td>pankow '95</td>
<td>jungfrau maria</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1996</td>
<td>lilien in der bank</td>
<td>suzanne</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>2000</td>
<td>vasilisa</td>
<td>the witch</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>2004</td>
<td>7 dwarves - men alone in the wood</td>
<td>the evil queen</td>
<td>hagen's daughter cosma played snow white</td>
</tr>
<tr>
<th>8</th>
<td>2006</td>
<td>7 zwerge - der wald ist nicht genug</td>
<td>the evil queen</td>
<td>hagen's daughter cosma played snow white</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2004</td>
</tr>
<tr>
<th>1</th>
<td>2006</td>
</tr>
</tbody>
</table> | select year where role = 'the evil queen' <table_name> : table | | year | film | role | notes |
|---:|-------:|:------------------------------------|:------------------------------|:-----------------------------------------|
| 0 | 1976 | liebesfallen | liane bruckner | none |
| 1 | 1976 | unser stiller mann | regina | none |
| 2 | 1979 | bildnis einer trinkerin | singer in a taxi drivers' bar | none |
| 3 | 1979 | cha-cha | none | none |
| 4 | 1983 | pankow '95 | jungfrau maria | none |
| 5 | 1996 | lilien in der bank | suzanne | none |
| 6 | 2000 | vasilisa | the witch | none |
| 7 | 2004 | 7 dwarves - men alone in the wood | the evil queen | hagen's daughter cosma played snow white |
| 8 | 2006 | 7 zwerge - der wald ist nicht genug | the evil queen | hagen's daughter cosma played snow white | | | | year |
|---:|-------:|
| 0 | 2004 |
| 1 | 2006 | | [
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select count ( * ) where year = 2012 col : year | album | song | duration | artist row 1 : 2010 | trax mini album volume up | "healing" | none | with trax row 2 : 2010 | oh! | "boys & girls" | none | with girls' generation row 3 : 2010 | 1st asia tour "into the new world" | "barbie girl" | none | duet with jessica row 4 : 2012 | history of salary man ost | "bravo" | 03:12 | duet with leeteuk row 5 : 2012 | one dream (single) | "one dream" | 02:29 | with boa & henry row 6 : 2012 | mama | "two moons" | 02:59 | with exo row 7 : 2012 | only one | "one dream" | 02:29 | with boa & henry row 8 : 2014 | toheart | "delicious" | none | duet with woohyun from infinite | col : count ( "*" ) row 1 : 4 | select count ( * ) where year = 2012 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & album & song & duration & artist \\
\midrule
0 & 2010 & trax mini album volume up & "healing" & none & with trax \\
1 & 2010 & oh! & "boys & girls" & none & with girls' generation \\
2 & 2010 & 1st asia tour "into the new world" & "barbie girl" & none & duet with jessica \\
3 & 2012 & history of salary man ost & "bravo" & 03:12 & duet with leeteuk \\
4 & 2012 & one dream (single) & "one dream" & 02:29 & with boa & henry \\
5 & 2012 & mama & "two moons" & 02:59 & with exo \\
6 & 2012 & only one & "one dream" & 02:29 & with boa & henry \\
7 & 2014 & toheart & "delicious" & none & duet with woohyun from infinite \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 4 \\
\bottomrule
\end{tabular}
| select count ( * ) where year = 2012 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>album</th>
<th>song</th>
<th>duration</th>
<th>artist</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2010</td>
<td>trax mini album volume up</td>
<td>"healing"</td>
<td>none</td>
<td>with trax</td>
</tr>
<tr>
<th>1</th>
<td>2010</td>
<td>oh!</td>
<td>"boys & girls"</td>
<td>none</td>
<td>with girls' generation</td>
</tr>
<tr>
<th>2</th>
<td>2010</td>
<td>1st asia tour "into the new world"</td>
<td>"barbie girl"</td>
<td>none</td>
<td>duet with jessica</td>
</tr>
<tr>
<th>3</th>
<td>2012</td>
<td>history of salary man ost</td>
<td>"bravo"</td>
<td>03:12</td>
<td>duet with leeteuk</td>
</tr>
<tr>
<th>4</th>
<td>2012</td>
<td>one dream (single)</td>
<td>"one dream"</td>
<td>02:29</td>
<td>with boa & henry</td>
</tr>
<tr>
<th>5</th>
<td>2012</td>
<td>mama</td>
<td>"two moons"</td>
<td>02:59</td>
<td>with exo</td>
</tr>
<tr>
<th>6</th>
<td>2012</td>
<td>only one</td>
<td>"one dream"</td>
<td>02:29</td>
<td>with boa & henry</td>
</tr>
<tr>
<th>7</th>
<td>2014</td>
<td>toheart</td>
<td>"delicious"</td>
<td>none</td>
<td>duet with woohyun from infinite</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
</tbody>
</table> | select count ( * ) where year = 2012 <table_name> : table | | year | album | song | duration | artist |
|---:|-------:|:-----------------------------------|:---------------|:-----------|:--------------------------------|
| 0 | 2010 | trax mini album volume up | "healing" | none | with trax |
| 1 | 2010 | oh! | "boys & girls" | none | with girls' generation |
| 2 | 2010 | 1st asia tour "into the new world" | "barbie girl" | none | duet with jessica |
| 3 | 2012 | history of salary man ost | "bravo" | 03:12 | duet with leeteuk |
| 4 | 2012 | one dream (single) | "one dream" | 02:29 | with boa & henry |
| 5 | 2012 | mama | "two moons" | 02:59 | with exo |
| 6 | 2012 | only one | "one dream" | 02:29 | with boa & henry |
| 7 | 2014 | toheart | "delicious" | none | duet with woohyun from infinite | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 4 | | [
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select title where chart positions ie = 8 col : year | title | chart positions au | chart positions ca | chart positions ie | chart positions nl | chart positions nz | chart positions uk | chart positions us hot 100 | chart positions us airplay | chart positions us alternative row 1 : 1995 | "you oughta know" a | 4 | 20 | none | 11 | 25 | 22 | none | 13 | 1 row 2 : 1995 | "hand in my pocket" | 13 | 1 | none | none | 7 | 26 | none | 15 | 1 row 3 : 1996 | "ironic" | 3 | 1 | 8 | 6 | 3 | 11 | 4 | 2 | 1 row 4 : 1996 | "you learn" | 20 | 1 | none | 13 | none | 24 | 6 | 1 | 7 row 5 : 1996 | "head over feet" | 12 | 1 | 11 | 33 | 27 | 7 | none | 3 | 25 row 6 : 1997 | "all i really want" | 40 | 2 | none | none | none | 59 | none | 65 | 14 | col : title row 1 : "ironic" | select title where chart positions ie = 8 <table_name> : table \begin{tabular}{llllllllllll}
\toprule
& year & title & chart positions au & chart positions ca & chart positions ie & chart positions nl & chart positions nz & chart positions uk & chart positions us hot 100 & chart positions us airplay & chart positions us alternative \\
\midrule
0 & 1995 & "you oughta know" a & 4 & 20 & none & 11 & 25 & 22 & none & 13 & 1 \\
1 & 1995 & "hand in my pocket" & 13 & 1 & none & none & 7 & 26 & none & 15 & 1 \\
2 & 1996 & "ironic" & 3 & 1 & 8 & 6 & 3 & 11 & 4 & 2 & 1 \\
3 & 1996 & "you learn" & 20 & 1 & none & 13 & none & 24 & 6 & 1 & 7 \\
4 & 1996 & "head over feet" & 12 & 1 & 11 & 33 & 27 & 7 & none & 3 & 25 \\
5 & 1997 & "all i really want" & 40 & 2 & none & none & none & 59 & none & 65 & 14 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& title \\
\midrule
0 & "ironic" \\
\bottomrule
\end{tabular}
| select title where chart positions ie = 8 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>chart positions au</th>
<th>chart positions ca</th>
<th>chart positions ie</th>
<th>chart positions nl</th>
<th>chart positions nz</th>
<th>chart positions uk</th>
<th>chart positions us hot 100</th>
<th>chart positions us airplay</th>
<th>chart positions us alternative</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1995</td>
<td>"you oughta know" a</td>
<td>4</td>
<td>20</td>
<td>none</td>
<td>11</td>
<td>25</td>
<td>22</td>
<td>none</td>
<td>13</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>1995</td>
<td>"hand in my pocket"</td>
<td>13</td>
<td>1</td>
<td>none</td>
<td>none</td>
<td>7</td>
<td>26</td>
<td>none</td>
<td>15</td>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>1996</td>
<td>"ironic"</td>
<td>3</td>
<td>1</td>
<td>8</td>
<td>6</td>
<td>3</td>
<td>11</td>
<td>4</td>
<td>2</td>
<td>1</td>
</tr>
<tr>
<th>3</th>
<td>1996</td>
<td>"you learn"</td>
<td>20</td>
<td>1</td>
<td>none</td>
<td>13</td>
<td>none</td>
<td>24</td>
<td>6</td>
<td>1</td>
<td>7</td>
</tr>
<tr>
<th>4</th>
<td>1996</td>
<td>"head over feet"</td>
<td>12</td>
<td>1</td>
<td>11</td>
<td>33</td>
<td>27</td>
<td>7</td>
<td>none</td>
<td>3</td>
<td>25</td>
</tr>
<tr>
<th>5</th>
<td>1997</td>
<td>"all i really want"</td>
<td>40</td>
<td>2</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>59</td>
<td>none</td>
<td>65</td>
<td>14</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>title</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>"ironic"</td>
</tr>
</tbody>
</table> | select title where chart positions ie = 8 <table_name> : table | | year | title | chart positions au | chart positions ca | chart positions ie | chart positions nl | chart positions nz | chart positions uk | chart positions us hot 100 | chart positions us airplay | chart positions us alternative |
|---:|-------:|:--------------------|---------------------:|---------------------:|:---------------------|:---------------------|:---------------------|---------------------:|:-----------------------------|-----------------------------:|---------------------------------:|
| 0 | 1995 | "you oughta know" a | 4 | 20 | none | 11 | 25 | 22 | none | 13 | 1 |
| 1 | 1995 | "hand in my pocket" | 13 | 1 | none | none | 7 | 26 | none | 15 | 1 |
| 2 | 1996 | "ironic" | 3 | 1 | 8 | 6 | 3 | 11 | 4 | 2 | 1 |
| 3 | 1996 | "you learn" | 20 | 1 | none | 13 | none | 24 | 6 | 1 | 7 |
| 4 | 1996 | "head over feet" | 12 | 1 | 11 | 33 | 27 | 7 | none | 3 | 25 |
| 5 | 1997 | "all i really want" | 40 | 2 | none | none | none | 59 | none | 65 | 14 | | | | title |
|---:|:---------|
| 0 | "ironic" | | [
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select pick # where college/junior/club team = 'american international college (ncaa)' col : pick # | player | position | nationality | nhl team | college/junior/club team row 1 : 148 | paul krake | goalie | canada | quebec nordiques | university of alaska anchorage (ncaa) row 2 : 149 | phil huber | center | canada | new york islanders | kamloops blazers (whl) row 3 : 150 | derek langille | defense | canada | toronto maple leafs | north bay centennials (ohl) row 4 : 151 | jim solly | left wing | canada | winnipeg jets | bowling green state university (ncaa) row 5 : 152 | sergei starikov | defense | soviet union | new jersey devils | cska moscow (ussr) row 6 : 153 | milan tichy | defense | czechoslovakia | chicago blackhawks | prince albert raiders (whl) row 7 : 154 | jon pratt | left wing | united states | minnesota north stars | pingree high school (ushs-ma) row 8 : 155 | rob sangster | left wing | canada | vancouver canucks | kitchener rangers (ohl) row 9 : 156 | kevin plager | right wing | united states | st. louis blues | parkway north high school (ushs-mo) row 10 : 157 | raymond saumier | right wing | canada | hartford whalers | trois rivieres draveurs (qmjhl) row 11 : 158 | andy suhy | defense | united states | detroit red wings | western michigan university (ncaa) row 12 : 159 | sverre sears | defense | united states | philadelphia flyers | princeton university (ncaa) row 13 : 160 | greg spenrath | defense | canada | new york rangers | tri-city americans (whl) row 14 : 161 | derek plante | center | united states | buffalo sabres | cloquet high school (ushs-mn) row 15 : 162 | darcy martini | defense | canada | edmonton oilers | michigan technological university (ncaa) row 16 : 163 | david shute | left wing | united states | pittsburgh penguins | victoria cougars (whl) row 17 : 164 | rick allain | defense | canada | boston bruins | kitchener rangers (ohl) row 18 : 165 | sean whyte | right wing | canada | los angeles kings | guelph platers (ohl) row 19 : 166 | dean holoien | right wing | canada | washington capitals | saskatoon blades (whl) row 20 : 167 | patrick lebeau | left wing | canada | montreal canadiens | st-jean lynx (qmjhl) row 21 : 168 | kevin wortman | defense | united states | calgary flames | american international college (ncaa) | col : pick # row 1 : 168 | select pick # where college/junior/club team = 'american international college (ncaa)' <table_name> : table \begin{tabular}{lllllll}
\toprule
& pick # & player & position & nationality & nhl team & college/junior/club team \\
\midrule
0 & 148 & paul krake & goalie & canada & quebec nordiques & university of alaska anchorage (ncaa) \\
1 & 149 & phil huber & center & canada & new york islanders & kamloops blazers (whl) \\
2 & 150 & derek langille & defense & canada & toronto maple leafs & north bay centennials (ohl) \\
3 & 151 & jim solly & left wing & canada & winnipeg jets & bowling green state university (ncaa) \\
4 & 152 & sergei starikov & defense & soviet union & new jersey devils & cska moscow (ussr) \\
5 & 153 & milan tichy & defense & czechoslovakia & chicago blackhawks & prince albert raiders (whl) \\
6 & 154 & jon pratt & left wing & united states & minnesota north stars & pingree high school (ushs-ma) \\
7 & 155 & rob sangster & left wing & canada & vancouver canucks & kitchener rangers (ohl) \\
8 & 156 & kevin plager & right wing & united states & st. louis blues & parkway north high school (ushs-mo) \\
9 & 157 & raymond saumier & right wing & canada & hartford whalers & trois rivieres draveurs (qmjhl) \\
10 & 158 & andy suhy & defense & united states & detroit red wings & western michigan university (ncaa) \\
11 & 159 & sverre sears & defense & united states & philadelphia flyers & princeton university (ncaa) \\
12 & 160 & greg spenrath & defense & canada & new york rangers & tri-city americans (whl) \\
13 & 161 & derek plante & center & united states & buffalo sabres & cloquet high school (ushs-mn) \\
14 & 162 & darcy martini & defense & canada & edmonton oilers & michigan technological university (ncaa) \\
15 & 163 & david shute & left wing & united states & pittsburgh penguins & victoria cougars (whl) \\
16 & 164 & rick allain & defense & canada & boston bruins & kitchener rangers (ohl) \\
17 & 165 & sean whyte & right wing & canada & los angeles kings & guelph platers (ohl) \\
18 & 166 & dean holoien & right wing & canada & washington capitals & saskatoon blades (whl) \\
19 & 167 & patrick lebeau & left wing & canada & montreal canadiens & st-jean lynx (qmjhl) \\
20 & 168 & kevin wortman & defense & united states & calgary flames & american international college (ncaa) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& pick # \\
\midrule
0 & 168 \\
\bottomrule
\end{tabular}
| select pick # where college/junior/club team = 'american international college (ncaa)' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pick #</th>
<th>player</th>
<th>position</th>
<th>nationality</th>
<th>nhl team</th>
<th>college/junior/club team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>148</td>
<td>paul krake</td>
<td>goalie</td>
<td>canada</td>
<td>quebec nordiques</td>
<td>university of alaska anchorage (ncaa)</td>
</tr>
<tr>
<th>1</th>
<td>149</td>
<td>phil huber</td>
<td>center</td>
<td>canada</td>
<td>new york islanders</td>
<td>kamloops blazers (whl)</td>
</tr>
<tr>
<th>2</th>
<td>150</td>
<td>derek langille</td>
<td>defense</td>
<td>canada</td>
<td>toronto maple leafs</td>
<td>north bay centennials (ohl)</td>
</tr>
<tr>
<th>3</th>
<td>151</td>
<td>jim solly</td>
<td>left wing</td>
<td>canada</td>
<td>winnipeg jets</td>
<td>bowling green state university (ncaa)</td>
</tr>
<tr>
<th>4</th>
<td>152</td>
<td>sergei starikov</td>
<td>defense</td>
<td>soviet union</td>
<td>new jersey devils</td>
<td>cska moscow (ussr)</td>
</tr>
<tr>
<th>5</th>
<td>153</td>
<td>milan tichy</td>
<td>defense</td>
<td>czechoslovakia</td>
<td>chicago blackhawks</td>
<td>prince albert raiders (whl)</td>
</tr>
<tr>
<th>6</th>
<td>154</td>
<td>jon pratt</td>
<td>left wing</td>
<td>united states</td>
<td>minnesota north stars</td>
<td>pingree high school (ushs-ma)</td>
</tr>
<tr>
<th>7</th>
<td>155</td>
<td>rob sangster</td>
<td>left wing</td>
<td>canada</td>
<td>vancouver canucks</td>
<td>kitchener rangers (ohl)</td>
</tr>
<tr>
<th>8</th>
<td>156</td>
<td>kevin plager</td>
<td>right wing</td>
<td>united states</td>
<td>st. louis blues</td>
<td>parkway north high school (ushs-mo)</td>
</tr>
<tr>
<th>9</th>
<td>157</td>
<td>raymond saumier</td>
<td>right wing</td>
<td>canada</td>
<td>hartford whalers</td>
<td>trois rivieres draveurs (qmjhl)</td>
</tr>
<tr>
<th>10</th>
<td>158</td>
<td>andy suhy</td>
<td>defense</td>
<td>united states</td>
<td>detroit red wings</td>
<td>western michigan university (ncaa)</td>
</tr>
<tr>
<th>11</th>
<td>159</td>
<td>sverre sears</td>
<td>defense</td>
<td>united states</td>
<td>philadelphia flyers</td>
<td>princeton university (ncaa)</td>
</tr>
<tr>
<th>12</th>
<td>160</td>
<td>greg spenrath</td>
<td>defense</td>
<td>canada</td>
<td>new york rangers</td>
<td>tri-city americans (whl)</td>
</tr>
<tr>
<th>13</th>
<td>161</td>
<td>derek plante</td>
<td>center</td>
<td>united states</td>
<td>buffalo sabres</td>
<td>cloquet high school (ushs-mn)</td>
</tr>
<tr>
<th>14</th>
<td>162</td>
<td>darcy martini</td>
<td>defense</td>
<td>canada</td>
<td>edmonton oilers</td>
<td>michigan technological university (ncaa)</td>
</tr>
<tr>
<th>15</th>
<td>163</td>
<td>david shute</td>
<td>left wing</td>
<td>united states</td>
<td>pittsburgh penguins</td>
<td>victoria cougars (whl)</td>
</tr>
<tr>
<th>16</th>
<td>164</td>
<td>rick allain</td>
<td>defense</td>
<td>canada</td>
<td>boston bruins</td>
<td>kitchener rangers (ohl)</td>
</tr>
<tr>
<th>17</th>
<td>165</td>
<td>sean whyte</td>
<td>right wing</td>
<td>canada</td>
<td>los angeles kings</td>
<td>guelph platers (ohl)</td>
</tr>
<tr>
<th>18</th>
<td>166</td>
<td>dean holoien</td>
<td>right wing</td>
<td>canada</td>
<td>washington capitals</td>
<td>saskatoon blades (whl)</td>
</tr>
<tr>
<th>19</th>
<td>167</td>
<td>patrick lebeau</td>
<td>left wing</td>
<td>canada</td>
<td>montreal canadiens</td>
<td>st-jean lynx (qmjhl)</td>
</tr>
<tr>
<th>20</th>
<td>168</td>
<td>kevin wortman</td>
<td>defense</td>
<td>united states</td>
<td>calgary flames</td>
<td>american international college (ncaa)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pick #</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>168</td>
</tr>
</tbody>
</table> | select pick # where college/junior/club team = 'american international college (ncaa)' <table_name> : table | | pick # | player | position | nationality | nhl team | college/junior/club team |
|---:|---------:|:----------------|:-----------|:---------------|:----------------------|:-----------------------------------------|
| 0 | 148 | paul krake | goalie | canada | quebec nordiques | university of alaska anchorage (ncaa) |
| 1 | 149 | phil huber | center | canada | new york islanders | kamloops blazers (whl) |
| 2 | 150 | derek langille | defense | canada | toronto maple leafs | north bay centennials (ohl) |
| 3 | 151 | jim solly | left wing | canada | winnipeg jets | bowling green state university (ncaa) |
| 4 | 152 | sergei starikov | defense | soviet union | new jersey devils | cska moscow (ussr) |
| 5 | 153 | milan tichy | defense | czechoslovakia | chicago blackhawks | prince albert raiders (whl) |
| 6 | 154 | jon pratt | left wing | united states | minnesota north stars | pingree high school (ushs-ma) |
| 7 | 155 | rob sangster | left wing | canada | vancouver canucks | kitchener rangers (ohl) |
| 8 | 156 | kevin plager | right wing | united states | st. louis blues | parkway north high school (ushs-mo) |
| 9 | 157 | raymond saumier | right wing | canada | hartford whalers | trois rivieres draveurs (qmjhl) |
| 10 | 158 | andy suhy | defense | united states | detroit red wings | western michigan university (ncaa) |
| 11 | 159 | sverre sears | defense | united states | philadelphia flyers | princeton university (ncaa) |
| 12 | 160 | greg spenrath | defense | canada | new york rangers | tri-city americans (whl) |
| 13 | 161 | derek plante | center | united states | buffalo sabres | cloquet high school (ushs-mn) |
| 14 | 162 | darcy martini | defense | canada | edmonton oilers | michigan technological university (ncaa) |
| 15 | 163 | david shute | left wing | united states | pittsburgh penguins | victoria cougars (whl) |
| 16 | 164 | rick allain | defense | canada | boston bruins | kitchener rangers (ohl) |
| 17 | 165 | sean whyte | right wing | canada | los angeles kings | guelph platers (ohl) |
| 18 | 166 | dean holoien | right wing | canada | washington capitals | saskatoon blades (whl) |
| 19 | 167 | patrick lebeau | left wing | canada | montreal canadiens | st-jean lynx (qmjhl) |
| 20 | 168 | kevin wortman | defense | united states | calgary flames | american international college (ncaa) | | | | pick # |
|---:|---------:|
| 0 | 168 | | [
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] |
select count ( team record ) where competition = '2006 afc u-17 championship qualification' col : team | competition | category | appearances start | appearances sub | goals | team record row 1 : japan | 2006 afc u-17 championship qualification | u-15 | 1 | 0 | 0 | qualified row 2 : japan | 2006 afc u-17 championship | u-16 | 4 | 1 | 4 | champions row 3 : japan | 2007 fifa u-17 world cup | u-17 | 1 | 2 | 2 | round 1 row 4 : japan | 2008 afc youth championship qualification | u-18 | 4 | 0 | 2 | qualified row 5 : japan | 2008 afc u-19 championship | u-19 | 1 | 1 | 0 | quarterfinal row 6 : japan | 2013 eaff east asian cup | senior | 2 | 0 | 3 | champions | col : count ( "team record" ) row 1 : 1 | select count ( team record ) where competition = '2006 afc u-17 championship qualification' <table_name> : table \begin{tabular}{llllllll}
\toprule
& team & competition & category & appearances start & appearances sub & goals & team record \\
\midrule
0 & japan & 2006 afc u-17 championship qualification & u-15 & 1 & 0 & 0 & qualified \\
1 & japan & 2006 afc u-17 championship & u-16 & 4 & 1 & 4 & champions \\
2 & japan & 2007 fifa u-17 world cup & u-17 & 1 & 2 & 2 & round 1 \\
3 & japan & 2008 afc youth championship qualification & u-18 & 4 & 0 & 2 & qualified \\
4 & japan & 2008 afc u-19 championship & u-19 & 1 & 1 & 0 & quarterfinal \\
5 & japan & 2013 eaff east asian cup & senior & 2 & 0 & 3 & champions \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "team record" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( team record ) where competition = '2006 afc u-17 championship qualification' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
<th>competition</th>
<th>category</th>
<th>appearances start</th>
<th>appearances sub</th>
<th>goals</th>
<th>team record</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>japan</td>
<td>2006 afc u-17 championship qualification</td>
<td>u-15</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>qualified</td>
</tr>
<tr>
<th>1</th>
<td>japan</td>
<td>2006 afc u-17 championship</td>
<td>u-16</td>
<td>4</td>
<td>1</td>
<td>4</td>
<td>champions</td>
</tr>
<tr>
<th>2</th>
<td>japan</td>
<td>2007 fifa u-17 world cup</td>
<td>u-17</td>
<td>1</td>
<td>2</td>
<td>2</td>
<td>round 1</td>
</tr>
<tr>
<th>3</th>
<td>japan</td>
<td>2008 afc youth championship qualification</td>
<td>u-18</td>
<td>4</td>
<td>0</td>
<td>2</td>
<td>qualified</td>
</tr>
<tr>
<th>4</th>
<td>japan</td>
<td>2008 afc u-19 championship</td>
<td>u-19</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>quarterfinal</td>
</tr>
<tr>
<th>5</th>
<td>japan</td>
<td>2013 eaff east asian cup</td>
<td>senior</td>
<td>2</td>
<td>0</td>
<td>3</td>
<td>champions</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "team record" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( team record ) where competition = '2006 afc u-17 championship qualification' <table_name> : table | | team | competition | category | appearances start | appearances sub | goals | team record |
|---:|:-------|:------------------------------------------|:-----------|--------------------:|------------------:|--------:|:--------------|
| 0 | japan | 2006 afc u-17 championship qualification | u-15 | 1 | 0 | 0 | qualified |
| 1 | japan | 2006 afc u-17 championship | u-16 | 4 | 1 | 4 | champions |
| 2 | japan | 2007 fifa u-17 world cup | u-17 | 1 | 2 | 2 | round 1 |
| 3 | japan | 2008 afc youth championship qualification | u-18 | 4 | 0 | 2 | qualified |
| 4 | japan | 2008 afc u-19 championship | u-19 | 1 | 1 | 0 | quarterfinal |
| 5 | japan | 2013 eaff east asian cup | senior | 2 | 0 | 3 | champions | | | | count ( "team record" ) |
|---:|--------------------------:|
| 0 | 1 | | [
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select regular season finish where postseason won = 1 col : team | year | regular season won | regular season lost | regular season win % | regular season finish | postseason won | postseason lost | postseason win % | postseason result row 1 : cle | 1991 | 32 | 53 | 0.376 | 7th in al east | none | none | none | none row 2 : cle | 1992 | 76 | 86 | 0.469 | 5th in al east | none | none | none | none row 3 : cle | 1993 | 76 | 86 | 0.469 | 6th in al east | none | none | none | none row 4 : cle | 1994 | 66 | 47 | 0.584 | 2nd in al central | none | none | none | no mlb postseason row 5 : cle | 1995 | 100 | 44 | 0.694 | 1st in al central | 9 | 6 | 0.6 | lost ws to atl row 6 : cle | 1996 | 99 | 62 | 0.615 | 1st in al central | 1 | 3 | 0.25 | lost lds to bal row 7 : cle | 1997 | 86 | 75 | 0.534 | 1st in al central | 10 | 8 | 0.556 | lost ws to fla row 8 : cle | 1998 | 89 | 73 | 0.549 | 1st in al central | 5 | 5 | 0.5 | lost lcs to nyy row 9 : cle | 1999 | 97 | 65 | 0.599 | 1st in al central | 2 | 3 | 0.4 | lost lds to bos row 10 : bal | 2000 | 74 | 88 | 0.457 | 4th in al east | none | none | none | none row 11 : bal | 2001 | 63 | 98 | 0.391 | 4th in al east | none | none | none | none row 12 : bal | 2002 | 67 | 95 | 0.414 | 4th in al east | none | none | none | none row 13 : bal | 2003 | 71 | 91 | 0.438 | 4th in al east | none | none | none | none row 14 : sea | 2005 | 69 | 93 | 0.426 | 4th in al west | none | none | none | none row 15 : sea | 2006 | 78 | 84 | 0.481 | 4th in al west | none | none | none | none row 16 : sea | 2007 | 45 | 33 | 0.571 | 2nd in al west | none | none | none | none row 17 : cle total | cle total | 721 | 591 | 0.55 | none | 27 | 25 | 0.519 | none row 18 : bal total | bal total | 275 | 372 | 0.425 | none | 0 | 0 | 0 | none row 19 : sea total | sea total | 192 | 210 | 0.478 | none | 0 | 0 | 0 | none row 20 : total | total | 1188 | 1173 | 0.503 | none | 27 | 25 | 0.519 | none | col : regular season finish row 1 : 1st in al central | select regular season finish where postseason won = 1 <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& team & year & regular season won & regular season lost & regular season win % & regular season finish & postseason won & postseason lost & postseason win % & postseason result \\
\midrule
0 & cle & 1991 & 32 & 53 & 0.376 & 7th in al east & none & none & none & none \\
1 & cle & 1992 & 76 & 86 & 0.469 & 5th in al east & none & none & none & none \\
2 & cle & 1993 & 76 & 86 & 0.469 & 6th in al east & none & none & none & none \\
3 & cle & 1994 & 66 & 47 & 0.584 & 2nd in al central & none & none & none & no mlb postseason \\
4 & cle & 1995 & 100 & 44 & 0.694 & 1st in al central & 9 & 6 & 0.6 & lost ws to atl \\
5 & cle & 1996 & 99 & 62 & 0.615 & 1st in al central & 1 & 3 & 0.25 & lost lds to bal \\
6 & cle & 1997 & 86 & 75 & 0.534 & 1st in al central & 10 & 8 & 0.556 & lost ws to fla \\
7 & cle & 1998 & 89 & 73 & 0.549 & 1st in al central & 5 & 5 & 0.5 & lost lcs to nyy \\
8 & cle & 1999 & 97 & 65 & 0.599 & 1st in al central & 2 & 3 & 0.4 & lost lds to bos \\
9 & bal & 2000 & 74 & 88 & 0.457 & 4th in al east & none & none & none & none \\
10 & bal & 2001 & 63 & 98 & 0.391 & 4th in al east & none & none & none & none \\
11 & bal & 2002 & 67 & 95 & 0.414 & 4th in al east & none & none & none & none \\
12 & bal & 2003 & 71 & 91 & 0.438 & 4th in al east & none & none & none & none \\
13 & sea & 2005 & 69 & 93 & 0.426 & 4th in al west & none & none & none & none \\
14 & sea & 2006 & 78 & 84 & 0.481 & 4th in al west & none & none & none & none \\
15 & sea & 2007 & 45 & 33 & 0.571 & 2nd in al west & none & none & none & none \\
16 & cle total & cle total & 721 & 591 & 0.55 & none & 27 & 25 & 0.519 & none \\
17 & bal total & bal total & 275 & 372 & 0.425 & none & 0 & 0 & 0 & none \\
18 & sea total & sea total & 192 & 210 & 0.478 & none & 0 & 0 & 0 & none \\
19 & total & total & 1188 & 1173 & 0.503 & none & 27 & 25 & 0.519 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& regular season finish \\
\midrule
0 & 1st in al central \\
\bottomrule
\end{tabular}
| select regular season finish where postseason won = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
<th>year</th>
<th>regular season won</th>
<th>regular season lost</th>
<th>regular season win %</th>
<th>regular season finish</th>
<th>postseason won</th>
<th>postseason lost</th>
<th>postseason win %</th>
<th>postseason result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>cle</td>
<td>1991</td>
<td>32</td>
<td>53</td>
<td>0.376</td>
<td>7th in al east</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>cle</td>
<td>1992</td>
<td>76</td>
<td>86</td>
<td>0.469</td>
<td>5th in al east</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>cle</td>
<td>1993</td>
<td>76</td>
<td>86</td>
<td>0.469</td>
<td>6th in al east</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>cle</td>
<td>1994</td>
<td>66</td>
<td>47</td>
<td>0.584</td>
<td>2nd in al central</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>no mlb postseason</td>
</tr>
<tr>
<th>4</th>
<td>cle</td>
<td>1995</td>
<td>100</td>
<td>44</td>
<td>0.694</td>
<td>1st in al central</td>
<td>9</td>
<td>6</td>
<td>0.6</td>
<td>lost ws to atl</td>
</tr>
<tr>
<th>5</th>
<td>cle</td>
<td>1996</td>
<td>99</td>
<td>62</td>
<td>0.615</td>
<td>1st in al central</td>
<td>1</td>
<td>3</td>
<td>0.25</td>
<td>lost lds to bal</td>
</tr>
<tr>
<th>6</th>
<td>cle</td>
<td>1997</td>
<td>86</td>
<td>75</td>
<td>0.534</td>
<td>1st in al central</td>
<td>10</td>
<td>8</td>
<td>0.556</td>
<td>lost ws to fla</td>
</tr>
<tr>
<th>7</th>
<td>cle</td>
<td>1998</td>
<td>89</td>
<td>73</td>
<td>0.549</td>
<td>1st in al central</td>
<td>5</td>
<td>5</td>
<td>0.5</td>
<td>lost lcs to nyy</td>
</tr>
<tr>
<th>8</th>
<td>cle</td>
<td>1999</td>
<td>97</td>
<td>65</td>
<td>0.599</td>
<td>1st in al central</td>
<td>2</td>
<td>3</td>
<td>0.4</td>
<td>lost lds to bos</td>
</tr>
<tr>
<th>9</th>
<td>bal</td>
<td>2000</td>
<td>74</td>
<td>88</td>
<td>0.457</td>
<td>4th in al east</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>bal</td>
<td>2001</td>
<td>63</td>
<td>98</td>
<td>0.391</td>
<td>4th in al east</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>bal</td>
<td>2002</td>
<td>67</td>
<td>95</td>
<td>0.414</td>
<td>4th in al east</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>bal</td>
<td>2003</td>
<td>71</td>
<td>91</td>
<td>0.438</td>
<td>4th in al east</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>sea</td>
<td>2005</td>
<td>69</td>
<td>93</td>
<td>0.426</td>
<td>4th in al west</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>sea</td>
<td>2006</td>
<td>78</td>
<td>84</td>
<td>0.481</td>
<td>4th in al west</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>sea</td>
<td>2007</td>
<td>45</td>
<td>33</td>
<td>0.571</td>
<td>2nd in al west</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>cle total</td>
<td>cle total</td>
<td>721</td>
<td>591</td>
<td>0.55</td>
<td>none</td>
<td>27</td>
<td>25</td>
<td>0.519</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>bal total</td>
<td>bal total</td>
<td>275</td>
<td>372</td>
<td>0.425</td>
<td>none</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>sea total</td>
<td>sea total</td>
<td>192</td>
<td>210</td>
<td>0.478</td>
<td>none</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>total</td>
<td>total</td>
<td>1188</td>
<td>1173</td>
<td>0.503</td>
<td>none</td>
<td>27</td>
<td>25</td>
<td>0.519</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>regular season finish</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1st in al central</td>
</tr>
</tbody>
</table> | select regular season finish where postseason won = 1 <table_name> : table | | team | year | regular season won | regular season lost | regular season win % | regular season finish | postseason won | postseason lost | postseason win % | postseason result |
|---:|:----------|:----------|---------------------:|----------------------:|-----------------------:|:------------------------|:-----------------|:------------------|:-------------------|:--------------------|
| 0 | cle | 1991 | 32 | 53 | 0.376 | 7th in al east | none | none | none | none |
| 1 | cle | 1992 | 76 | 86 | 0.469 | 5th in al east | none | none | none | none |
| 2 | cle | 1993 | 76 | 86 | 0.469 | 6th in al east | none | none | none | none |
| 3 | cle | 1994 | 66 | 47 | 0.584 | 2nd in al central | none | none | none | no mlb postseason |
| 4 | cle | 1995 | 100 | 44 | 0.694 | 1st in al central | 9 | 6 | 0.6 | lost ws to atl |
| 5 | cle | 1996 | 99 | 62 | 0.615 | 1st in al central | 1 | 3 | 0.25 | lost lds to bal |
| 6 | cle | 1997 | 86 | 75 | 0.534 | 1st in al central | 10 | 8 | 0.556 | lost ws to fla |
| 7 | cle | 1998 | 89 | 73 | 0.549 | 1st in al central | 5 | 5 | 0.5 | lost lcs to nyy |
| 8 | cle | 1999 | 97 | 65 | 0.599 | 1st in al central | 2 | 3 | 0.4 | lost lds to bos |
| 9 | bal | 2000 | 74 | 88 | 0.457 | 4th in al east | none | none | none | none |
| 10 | bal | 2001 | 63 | 98 | 0.391 | 4th in al east | none | none | none | none |
| 11 | bal | 2002 | 67 | 95 | 0.414 | 4th in al east | none | none | none | none |
| 12 | bal | 2003 | 71 | 91 | 0.438 | 4th in al east | none | none | none | none |
| 13 | sea | 2005 | 69 | 93 | 0.426 | 4th in al west | none | none | none | none |
| 14 | sea | 2006 | 78 | 84 | 0.481 | 4th in al west | none | none | none | none |
| 15 | sea | 2007 | 45 | 33 | 0.571 | 2nd in al west | none | none | none | none |
| 16 | cle total | cle total | 721 | 591 | 0.55 | none | 27 | 25 | 0.519 | none |
| 17 | bal total | bal total | 275 | 372 | 0.425 | none | 0 | 0 | 0 | none |
| 18 | sea total | sea total | 192 | 210 | 0.478 | none | 0 | 0 | 0 | none |
| 19 | total | total | 1188 | 1173 | 0.503 | none | 27 | 25 | 0.519 | none | | | | regular season finish |
|---:|:------------------------|
| 0 | 1st in al central | | [
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select count ( player ) where draft order choice < 503 col : draft order round | draft order choice | player | position | height | weight | college row 1 : 1 | 1 | matthew stafford | qb | 6 ft 2 in (1.88 m) | 223 lb (101 kg) | georgia row 2 : 1 | 20 | brandon pettigrew | te | 6 ft 5 in (1.96 m) | 263 lb (119 kg) | oklahoma state row 3 : 2 | 33 | louis delmas | s | 5 ft 11 in (1.80 m) | 202 lb (92 kg) | western michigan row 4 : 3 | 76 | deandre levy | olb | 6 ft 2 in (1.88 m) | 236 lb (107 kg) | wisconsin row 5 : 3 | 82 | derrick williams | wr | 5 ft 11 in (1.80 m) | 197 lb (89 kg) | penn state row 6 : 4 | 115 | sammie lee hill | dt | 6 ft 4 in (1.93 m) | 329 lb (149 kg) | stillman row 7 : 6 | 192 | aaron brown | rb | 6 ft 1 in (1.85 m) | 196 lb (89 kg) | texas christian row 8 : 7 | 228 | lydon murtha | ot | 6 ft 7 in (2.01 m) | 315 lb (143 kg) | nebraska row 9 : 7 | 235 | zack follett | olb | 6 ft 1 in (1.85 m) | 238 lb (108 kg) | california row 10 : 7 | 255 | dan gronkowski | te | 6 ft 6 in (1.98 m) | 255 lb (116 kg) | maryland | col : count ( "player" ) row 1 : 8 | select count ( player ) where draft order choice < 503 <table_name> : table \begin{tabular}{llllllll}
\toprule
& draft order round & draft order choice & player & position & height & weight & college \\
\midrule
0 & 1 & 1 & matthew stafford & qb & 6 ft 2 in (1.88 m) & 223 lb (101 kg) & georgia \\
1 & 1 & 20 & brandon pettigrew & te & 6 ft 5 in (1.96 m) & 263 lb (119 kg) & oklahoma state \\
2 & 2 & 33 & louis delmas & s & 5 ft 11 in (1.80 m) & 202 lb (92 kg) & western michigan \\
3 & 3 & 76 & deandre levy & olb & 6 ft 2 in (1.88 m) & 236 lb (107 kg) & wisconsin \\
4 & 3 & 82 & derrick williams & wr & 5 ft 11 in (1.80 m) & 197 lb (89 kg) & penn state \\
5 & 4 & 115 & sammie lee hill & dt & 6 ft 4 in (1.93 m) & 329 lb (149 kg) & stillman \\
6 & 6 & 192 & aaron brown & rb & 6 ft 1 in (1.85 m) & 196 lb (89 kg) & texas christian \\
7 & 7 & 228 & lydon murtha & ot & 6 ft 7 in (2.01 m) & 315 lb (143 kg) & nebraska \\
8 & 7 & 235 & zack follett & olb & 6 ft 1 in (1.85 m) & 238 lb (108 kg) & california \\
9 & 7 & 255 & dan gronkowski & te & 6 ft 6 in (1.98 m) & 255 lb (116 kg) & maryland \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "player" ) \\
\midrule
0 & 8 \\
\bottomrule
\end{tabular}
| select count ( player ) where draft order choice < 503 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>draft order round</th>
<th>draft order choice</th>
<th>player</th>
<th>position</th>
<th>height</th>
<th>weight</th>
<th>college</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1</td>
<td>matthew stafford</td>
<td>qb</td>
<td>6 ft 2 in (1.88 m)</td>
<td>223 lb (101 kg)</td>
<td>georgia</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>20</td>
<td>brandon pettigrew</td>
<td>te</td>
<td>6 ft 5 in (1.96 m)</td>
<td>263 lb (119 kg)</td>
<td>oklahoma state</td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>33</td>
<td>louis delmas</td>
<td>s</td>
<td>5 ft 11 in (1.80 m)</td>
<td>202 lb (92 kg)</td>
<td>western michigan</td>
</tr>
<tr>
<th>3</th>
<td>3</td>
<td>76</td>
<td>deandre levy</td>
<td>olb</td>
<td>6 ft 2 in (1.88 m)</td>
<td>236 lb (107 kg)</td>
<td>wisconsin</td>
</tr>
<tr>
<th>4</th>
<td>3</td>
<td>82</td>
<td>derrick williams</td>
<td>wr</td>
<td>5 ft 11 in (1.80 m)</td>
<td>197 lb (89 kg)</td>
<td>penn state</td>
</tr>
<tr>
<th>5</th>
<td>4</td>
<td>115</td>
<td>sammie lee hill</td>
<td>dt</td>
<td>6 ft 4 in (1.93 m)</td>
<td>329 lb (149 kg)</td>
<td>stillman</td>
</tr>
<tr>
<th>6</th>
<td>6</td>
<td>192</td>
<td>aaron brown</td>
<td>rb</td>
<td>6 ft 1 in (1.85 m)</td>
<td>196 lb (89 kg)</td>
<td>texas christian</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>228</td>
<td>lydon murtha</td>
<td>ot</td>
<td>6 ft 7 in (2.01 m)</td>
<td>315 lb (143 kg)</td>
<td>nebraska</td>
</tr>
<tr>
<th>8</th>
<td>7</td>
<td>235</td>
<td>zack follett</td>
<td>olb</td>
<td>6 ft 1 in (1.85 m)</td>
<td>238 lb (108 kg)</td>
<td>california</td>
</tr>
<tr>
<th>9</th>
<td>7</td>
<td>255</td>
<td>dan gronkowski</td>
<td>te</td>
<td>6 ft 6 in (1.98 m)</td>
<td>255 lb (116 kg)</td>
<td>maryland</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "player" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>8</td>
</tr>
</tbody>
</table> | select count ( player ) where draft order choice < 503 <table_name> : table | | draft order round | draft order choice | player | position | height | weight | college |
|---:|--------------------:|---------------------:|:------------------|:-----------|:--------------------|:----------------|:-----------------|
| 0 | 1 | 1 | matthew stafford | qb | 6 ft 2 in (1.88 m) | 223 lb (101 kg) | georgia |
| 1 | 1 | 20 | brandon pettigrew | te | 6 ft 5 in (1.96 m) | 263 lb (119 kg) | oklahoma state |
| 2 | 2 | 33 | louis delmas | s | 5 ft 11 in (1.80 m) | 202 lb (92 kg) | western michigan |
| 3 | 3 | 76 | deandre levy | olb | 6 ft 2 in (1.88 m) | 236 lb (107 kg) | wisconsin |
| 4 | 3 | 82 | derrick williams | wr | 5 ft 11 in (1.80 m) | 197 lb (89 kg) | penn state |
| 5 | 4 | 115 | sammie lee hill | dt | 6 ft 4 in (1.93 m) | 329 lb (149 kg) | stillman |
| 6 | 6 | 192 | aaron brown | rb | 6 ft 1 in (1.85 m) | 196 lb (89 kg) | texas christian |
| 7 | 7 | 228 | lydon murtha | ot | 6 ft 7 in (2.01 m) | 315 lb (143 kg) | nebraska |
| 8 | 7 | 235 | zack follett | olb | 6 ft 1 in (1.85 m) | 238 lb (108 kg) | california |
| 9 | 7 | 255 | dan gronkowski | te | 6 ft 6 in (1.98 m) | 255 lb (116 kg) | maryland | | | | count ( "player" ) |
|---:|---------------------:|
| 0 | 8 | | [
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select count ( type ) where casualties < 237 col : date | number | type | captain | casualties | sunk by row 1 : 2043-05-04 00:00:00 | u-209 | viic | heinrich brodda | 46 | catalina flying-boat of no. 5 squadron rcaf row 2 : 2043-05-05 00:00:00 | u-638 | viic | oskar staudinger | 44 | hms sunflower row 3 : 2043-05-05 00:00:00 | u-531 | ixc/40 | herbert neckel | 54 | hms vidette row 4 : 2043-05-06 00:00:00 | u-192 | ixc/40 | werner happe | 55 | hms loosestrife row 5 : 2043-05-06 00:00:00 | u-125 | ixc | ulrich folkers | 54 | hms oribi, hms snowflake row 6 : 2043-05-06 00:00:00 | u-630 | viic | werner winkler | 47 | hms vidette row 7 : 2043-05-06 00:00:00 | u-438 | viic | heinrich hensohn | 48 | hms pelican | col : count ( "type" ) row 1 : 0 | select count ( type ) where casualties < 237 <table_name> : table \begin{tabular}{lllllll}
\toprule
& date & number & type & captain & casualties & sunk by \\
\midrule
0 & 2043-05-04 00:00:00 & u-209 & viic & heinrich brodda & 46 & catalina flying-boat of no. 5 squadron rcaf \\
1 & 2043-05-05 00:00:00 & u-638 & viic & oskar staudinger & 44 & hms sunflower \\
2 & 2043-05-05 00:00:00 & u-531 & ixc/40 & herbert neckel & 54 & hms vidette \\
3 & 2043-05-06 00:00:00 & u-192 & ixc/40 & werner happe & 55 & hms loosestrife \\
4 & 2043-05-06 00:00:00 & u-125 & ixc & ulrich folkers & 54 & hms oribi, hms snowflake \\
5 & 2043-05-06 00:00:00 & u-630 & viic & werner winkler & 47 & hms vidette \\
6 & 2043-05-06 00:00:00 & u-438 & viic & heinrich hensohn & 48 & hms pelican \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "type" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( type ) where casualties < 237 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>number</th>
<th>type</th>
<th>captain</th>
<th>casualties</th>
<th>sunk by</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2043-05-04 00:00:00</td>
<td>u-209</td>
<td>viic</td>
<td>heinrich brodda</td>
<td>46</td>
<td>catalina flying-boat of no. 5 squadron rcaf</td>
</tr>
<tr>
<th>1</th>
<td>2043-05-05 00:00:00</td>
<td>u-638</td>
<td>viic</td>
<td>oskar staudinger</td>
<td>44</td>
<td>hms sunflower</td>
</tr>
<tr>
<th>2</th>
<td>2043-05-05 00:00:00</td>
<td>u-531</td>
<td>ixc/40</td>
<td>herbert neckel</td>
<td>54</td>
<td>hms vidette</td>
</tr>
<tr>
<th>3</th>
<td>2043-05-06 00:00:00</td>
<td>u-192</td>
<td>ixc/40</td>
<td>werner happe</td>
<td>55</td>
<td>hms loosestrife</td>
</tr>
<tr>
<th>4</th>
<td>2043-05-06 00:00:00</td>
<td>u-125</td>
<td>ixc</td>
<td>ulrich folkers</td>
<td>54</td>
<td>hms oribi, hms snowflake</td>
</tr>
<tr>
<th>5</th>
<td>2043-05-06 00:00:00</td>
<td>u-630</td>
<td>viic</td>
<td>werner winkler</td>
<td>47</td>
<td>hms vidette</td>
</tr>
<tr>
<th>6</th>
<td>2043-05-06 00:00:00</td>
<td>u-438</td>
<td>viic</td>
<td>heinrich hensohn</td>
<td>48</td>
<td>hms pelican</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "type" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( type ) where casualties < 237 <table_name> : table | | date | number | type | captain | casualties | sunk by |
|---:|:--------------------|:---------|:-------|:-----------------|-------------:|:--------------------------------------------|
| 0 | 2043-05-04 00:00:00 | u-209 | viic | heinrich brodda | 46 | catalina flying-boat of no. 5 squadron rcaf |
| 1 | 2043-05-05 00:00:00 | u-638 | viic | oskar staudinger | 44 | hms sunflower |
| 2 | 2043-05-05 00:00:00 | u-531 | ixc/40 | herbert neckel | 54 | hms vidette |
| 3 | 2043-05-06 00:00:00 | u-192 | ixc/40 | werner happe | 55 | hms loosestrife |
| 4 | 2043-05-06 00:00:00 | u-125 | ixc | ulrich folkers | 54 | hms oribi, hms snowflake |
| 5 | 2043-05-06 00:00:00 | u-630 | viic | werner winkler | 47 | hms vidette |
| 6 | 2043-05-06 00:00:00 | u-438 | viic | heinrich hensohn | 48 | hms pelican | | | | count ( "type" ) |
|---:|-------------------:|
| 0 | 0 | | [
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select count ( location ) where type of vessel < 1442 col : ship | type of vessel | lake | location | lives lost row 1 : argus | steamer | lake huron | 25 miles off kincardine, ontario | 25 lost row 2 : james carruthers | steamer | lake huron | near kincardine | 18 lost row 3 : hydrus | steamer | lake huron | near lexington, michigan | 28 lost row 4 : leafield | steamer | lake superior | none | all hands row 5 : john a. mcgean | steamer | lake huron | near goderich, ontario | 28 lost row 6 : plymouth | barge | lake michigan | none | 7 lost row 7 : charles s. price | steamer | lake huron | near port huron, michigan | 28 lost row 8 : regina | steamer | lake huron | near harbor beach, michigan | none row 9 : issac m. scott | steamer | lake huron | near port elgin, ontario | 28 lost row 10 : henry b. smith | steamer | lake superior | none | all hands row 11 : wexford | steamer | lake huron | north of grand bend, ontario | all hands row 12 : lightship no. 82 | lightship | lake erie | point albino (near buffalo) | 6 lost | col : count ( "location" ) row 1 : 0 | select count ( location ) where type of vessel < 1442 <table_name> : table \begin{tabular}{llllll}
\toprule
& ship & type of vessel & lake & location & lives lost \\
\midrule
0 & argus & steamer & lake huron & 25 miles off kincardine, ontario & 25 lost \\
1 & james carruthers & steamer & lake huron & near kincardine & 18 lost \\
2 & hydrus & steamer & lake huron & near lexington, michigan & 28 lost \\
3 & leafield & steamer & lake superior & none & all hands \\
4 & john a. mcgean & steamer & lake huron & near goderich, ontario & 28 lost \\
5 & plymouth & barge & lake michigan & none & 7 lost \\
6 & charles s. price & steamer & lake huron & near port huron, michigan & 28 lost \\
7 & regina & steamer & lake huron & near harbor beach, michigan & none \\
8 & issac m. scott & steamer & lake huron & near port elgin, ontario & 28 lost \\
9 & henry b. smith & steamer & lake superior & none & all hands \\
10 & wexford & steamer & lake huron & north of grand bend, ontario & all hands \\
11 & lightship no. 82 & lightship & lake erie & point albino (near buffalo) & 6 lost \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "location" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( location ) where type of vessel < 1442 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>ship</th>
<th>type of vessel</th>
<th>lake</th>
<th>location</th>
<th>lives lost</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>argus</td>
<td>steamer</td>
<td>lake huron</td>
<td>25 miles off kincardine, ontario</td>
<td>25 lost</td>
</tr>
<tr>
<th>1</th>
<td>james carruthers</td>
<td>steamer</td>
<td>lake huron</td>
<td>near kincardine</td>
<td>18 lost</td>
</tr>
<tr>
<th>2</th>
<td>hydrus</td>
<td>steamer</td>
<td>lake huron</td>
<td>near lexington, michigan</td>
<td>28 lost</td>
</tr>
<tr>
<th>3</th>
<td>leafield</td>
<td>steamer</td>
<td>lake superior</td>
<td>none</td>
<td>all hands</td>
</tr>
<tr>
<th>4</th>
<td>john a. mcgean</td>
<td>steamer</td>
<td>lake huron</td>
<td>near goderich, ontario</td>
<td>28 lost</td>
</tr>
<tr>
<th>5</th>
<td>plymouth</td>
<td>barge</td>
<td>lake michigan</td>
<td>none</td>
<td>7 lost</td>
</tr>
<tr>
<th>6</th>
<td>charles s. price</td>
<td>steamer</td>
<td>lake huron</td>
<td>near port huron, michigan</td>
<td>28 lost</td>
</tr>
<tr>
<th>7</th>
<td>regina</td>
<td>steamer</td>
<td>lake huron</td>
<td>near harbor beach, michigan</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>issac m. scott</td>
<td>steamer</td>
<td>lake huron</td>
<td>near port elgin, ontario</td>
<td>28 lost</td>
</tr>
<tr>
<th>9</th>
<td>henry b. smith</td>
<td>steamer</td>
<td>lake superior</td>
<td>none</td>
<td>all hands</td>
</tr>
<tr>
<th>10</th>
<td>wexford</td>
<td>steamer</td>
<td>lake huron</td>
<td>north of grand bend, ontario</td>
<td>all hands</td>
</tr>
<tr>
<th>11</th>
<td>lightship no. 82</td>
<td>lightship</td>
<td>lake erie</td>
<td>point albino (near buffalo)</td>
<td>6 lost</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "location" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( location ) where type of vessel < 1442 <table_name> : table | | ship | type of vessel | lake | location | lives lost |
|---:|:-----------------|:-----------------|:--------------|:---------------------------------|:-------------|
| 0 | argus | steamer | lake huron | 25 miles off kincardine, ontario | 25 lost |
| 1 | james carruthers | steamer | lake huron | near kincardine | 18 lost |
| 2 | hydrus | steamer | lake huron | near lexington, michigan | 28 lost |
| 3 | leafield | steamer | lake superior | none | all hands |
| 4 | john a. mcgean | steamer | lake huron | near goderich, ontario | 28 lost |
| 5 | plymouth | barge | lake michigan | none | 7 lost |
| 6 | charles s. price | steamer | lake huron | near port huron, michigan | 28 lost |
| 7 | regina | steamer | lake huron | near harbor beach, michigan | none |
| 8 | issac m. scott | steamer | lake huron | near port elgin, ontario | 28 lost |
| 9 | henry b. smith | steamer | lake superior | none | all hands |
| 10 | wexford | steamer | lake huron | north of grand bend, ontario | all hands |
| 11 | lightship no. 82 | lightship | lake erie | point albino (near buffalo) | 6 lost | | | | count ( "location" ) |
|---:|-----------------------:|
| 0 | 0 | | [
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select attendance where win = 'breckley (3-2)' col : # | date | opponent | score | site/stadium | win | loss | save | attendance | overall record | ncaat record row 1 : 72 | june 15 | rice | 17-5 | rosenblatt stadium | wilson (8-5) | berry (8-5) | none | 18108 | 43-29 | 6-2 row 2 : 73 | june 17 | north carolina | 5-3 | rosenblatt stadium | breckley (3-2) | warren (9-2) | burke (13) | 23314 | 44-29 | 7-2 row 3 : 74 | june 21 | north carolina | 4-3 | rosenblatt stadium | white (13-3) | miller (6-4) | none | 18611 | 44-30 | 7-3 row 4 : 75 | june 22 | north carolina | 6-1 | rosenblatt stadium | allison (4-5) | moran (1-2) | none | 15125 | 45-30 | 8-3 row 5 : 76 | june 23 | georgia | 7-6 | rosenblatt stadium | harvil (2-1) | burke (4-6) | fields (18) | 19559 | 45-31 | 8-4 row 6 : 77 | june 24 | georgia | 19-10 | rosenblatt stadium | sprague (6-2) | dodson (5-5) | hower (1) | 17223 | 46-31 | 9-4 row 7 : 78 | june 25 | georgia | 6-1 | rosenblatt stadium | wilson (5-5) | moreau (4-4) | none | 18932 | 47-31 | 10-4 | col : attendance row 1 : 23314 | select attendance where win = 'breckley (3-2)' <table_name> : table \begin{tabular}{llllllllllll}
\toprule
& # & date & opponent & score & site/stadium & win & loss & save & attendance & overall record & ncaat record \\
\midrule
0 & 72 & june 15 & rice & 17-5 & rosenblatt stadium & wilson (8-5) & berry (8-5) & none & 18108 & 43-29 & 6-2 \\
1 & 73 & june 17 & north carolina & 5-3 & rosenblatt stadium & breckley (3-2) & warren (9-2) & burke (13) & 23314 & 44-29 & 7-2 \\
2 & 74 & june 21 & north carolina & 4-3 & rosenblatt stadium & white (13-3) & miller (6-4) & none & 18611 & 44-30 & 7-3 \\
3 & 75 & june 22 & north carolina & 6-1 & rosenblatt stadium & allison (4-5) & moran (1-2) & none & 15125 & 45-30 & 8-3 \\
4 & 76 & june 23 & georgia & 7-6 & rosenblatt stadium & harvil (2-1) & burke (4-6) & fields (18) & 19559 & 45-31 & 8-4 \\
5 & 77 & june 24 & georgia & 19-10 & rosenblatt stadium & sprague (6-2) & dodson (5-5) & hower (1) & 17223 & 46-31 & 9-4 \\
6 & 78 & june 25 & georgia & 6-1 & rosenblatt stadium & wilson (5-5) & moreau (4-4) & none & 18932 & 47-31 & 10-4 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& attendance \\
\midrule
0 & 23314 \\
\bottomrule
\end{tabular}
| select attendance where win = 'breckley (3-2)' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>opponent</th>
<th>score</th>
<th>site/stadium</th>
<th>win</th>
<th>loss</th>
<th>save</th>
<th>attendance</th>
<th>overall record</th>
<th>ncaat record</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>72</td>
<td>june 15</td>
<td>rice</td>
<td>17-5</td>
<td>rosenblatt stadium</td>
<td>wilson (8-5)</td>
<td>berry (8-5)</td>
<td>none</td>
<td>18108</td>
<td>43-29</td>
<td>6-2</td>
</tr>
<tr>
<th>1</th>
<td>73</td>
<td>june 17</td>
<td>north carolina</td>
<td>5-3</td>
<td>rosenblatt stadium</td>
<td>breckley (3-2)</td>
<td>warren (9-2)</td>
<td>burke (13)</td>
<td>23314</td>
<td>44-29</td>
<td>7-2</td>
</tr>
<tr>
<th>2</th>
<td>74</td>
<td>june 21</td>
<td>north carolina</td>
<td>4-3</td>
<td>rosenblatt stadium</td>
<td>white (13-3)</td>
<td>miller (6-4)</td>
<td>none</td>
<td>18611</td>
<td>44-30</td>
<td>7-3</td>
</tr>
<tr>
<th>3</th>
<td>75</td>
<td>june 22</td>
<td>north carolina</td>
<td>6-1</td>
<td>rosenblatt stadium</td>
<td>allison (4-5)</td>
<td>moran (1-2)</td>
<td>none</td>
<td>15125</td>
<td>45-30</td>
<td>8-3</td>
</tr>
<tr>
<th>4</th>
<td>76</td>
<td>june 23</td>
<td>georgia</td>
<td>7-6</td>
<td>rosenblatt stadium</td>
<td>harvil (2-1)</td>
<td>burke (4-6)</td>
<td>fields (18)</td>
<td>19559</td>
<td>45-31</td>
<td>8-4</td>
</tr>
<tr>
<th>5</th>
<td>77</td>
<td>june 24</td>
<td>georgia</td>
<td>19-10</td>
<td>rosenblatt stadium</td>
<td>sprague (6-2)</td>
<td>dodson (5-5)</td>
<td>hower (1)</td>
<td>17223</td>
<td>46-31</td>
<td>9-4</td>
</tr>
<tr>
<th>6</th>
<td>78</td>
<td>june 25</td>
<td>georgia</td>
<td>6-1</td>
<td>rosenblatt stadium</td>
<td>wilson (5-5)</td>
<td>moreau (4-4)</td>
<td>none</td>
<td>18932</td>
<td>47-31</td>
<td>10-4</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>23314</td>
</tr>
</tbody>
</table> | select attendance where win = 'breckley (3-2)' <table_name> : table | | # | date | opponent | score | site/stadium | win | loss | save | attendance | overall record | ncaat record |
|---:|----:|:--------|:---------------|:--------|:-------------------|:---------------|:-------------|:------------|-------------:|:-----------------|:---------------|
| 0 | 72 | june 15 | rice | 17-5 | rosenblatt stadium | wilson (8-5) | berry (8-5) | none | 18108 | 43-29 | 6-2 |
| 1 | 73 | june 17 | north carolina | 5-3 | rosenblatt stadium | breckley (3-2) | warren (9-2) | burke (13) | 23314 | 44-29 | 7-2 |
| 2 | 74 | june 21 | north carolina | 4-3 | rosenblatt stadium | white (13-3) | miller (6-4) | none | 18611 | 44-30 | 7-3 |
| 3 | 75 | june 22 | north carolina | 6-1 | rosenblatt stadium | allison (4-5) | moran (1-2) | none | 15125 | 45-30 | 8-3 |
| 4 | 76 | june 23 | georgia | 7-6 | rosenblatt stadium | harvil (2-1) | burke (4-6) | fields (18) | 19559 | 45-31 | 8-4 |
| 5 | 77 | june 24 | georgia | 19-10 | rosenblatt stadium | sprague (6-2) | dodson (5-5) | hower (1) | 17223 | 46-31 | 9-4 |
| 6 | 78 | june 25 | georgia | 6-1 | rosenblatt stadium | wilson (5-5) | moreau (4-4) | none | 18932 | 47-31 | 10-4 | | | | attendance |
|---:|-------------:|
| 0 | 23314 | | [
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select count ( report 1 ) where attendance > 5 col : date | opponents | venue | result | scorers | attendance | report 1 | report 2 row 1 : 2068-01-27 00:00:00 | bournemouth | a | 0-0 | none | 24388 | report | report row 2 : 2068-01-30 00:00:00 | bournemouth | h | 4-1 | hateley 33' thompson 44' hunt 51' lawler 73' | 54075 | report | report row 3 : 2068-02-17 00:00:00 | walsall | a | 0-0 | none | 21066 | report | report row 4 : 2068-02-19 00:00:00 | walsall | h | 5-2 | hateley 24', 33', 64', 71' strong 34' | 39113 | report | report row 5 : 2068-03-09 00:00:00 | tottenham hotspur | a | 1-1 | hateley 54' | 54005 | report | report row 6 : 2068-03-12 00:00:00 | tottenham hotspur | h | 2-1 | hunt 23' smith 78 pen' | 53658 | report | report row 7 : 2068-03-30 00:00:00 | west bromwich albion | a | 0-0 | none | 53062 | report | report row 8 : 2068-04-08 00:00:00 | west bromwich albion | h | 1-1 | hateley 24' | 54273 | report | report row 9 : 2068-04-18 00:00:00 | west bromwich albion | n | 1-2 | hateley 39' | 56000 | report | report | col : count ( "report 1" ) row 1 : 6 | select count ( report 1 ) where attendance > 5 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& date & opponents & venue & result & scorers & attendance & report 1 & report 2 \\
\midrule
0 & 2068-01-27 00:00:00 & bournemouth & a & 0-0 & none & 24388 & report & report \\
1 & 2068-01-30 00:00:00 & bournemouth & h & 4-1 & hateley 33' thompson 44' hunt 51' lawler 73' & 54075 & report & report \\
2 & 2068-02-17 00:00:00 & walsall & a & 0-0 & none & 21066 & report & report \\
3 & 2068-02-19 00:00:00 & walsall & h & 5-2 & hateley 24', 33', 64', 71' strong 34' & 39113 & report & report \\
4 & 2068-03-09 00:00:00 & tottenham hotspur & a & 1-1 & hateley 54' & 54005 & report & report \\
5 & 2068-03-12 00:00:00 & tottenham hotspur & h & 2-1 & hunt 23' smith 78 pen' & 53658 & report & report \\
6 & 2068-03-30 00:00:00 & west bromwich albion & a & 0-0 & none & 53062 & report & report \\
7 & 2068-04-08 00:00:00 & west bromwich albion & h & 1-1 & hateley 24' & 54273 & report & report \\
8 & 2068-04-18 00:00:00 & west bromwich albion & n & 1-2 & hateley 39' & 56000 & report & report \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "report 1" ) \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select count ( report 1 ) where attendance > 5 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>opponents</th>
<th>venue</th>
<th>result</th>
<th>scorers</th>
<th>attendance</th>
<th>report 1</th>
<th>report 2</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2068-01-27 00:00:00</td>
<td>bournemouth</td>
<td>a</td>
<td>0-0</td>
<td>none</td>
<td>24388</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>1</th>
<td>2068-01-30 00:00:00</td>
<td>bournemouth</td>
<td>h</td>
<td>4-1</td>
<td>hateley 33' thompson 44' hunt 51' lawler 73'</td>
<td>54075</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>2</th>
<td>2068-02-17 00:00:00</td>
<td>walsall</td>
<td>a</td>
<td>0-0</td>
<td>none</td>
<td>21066</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>3</th>
<td>2068-02-19 00:00:00</td>
<td>walsall</td>
<td>h</td>
<td>5-2</td>
<td>hateley 24', 33', 64', 71' strong 34'</td>
<td>39113</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>4</th>
<td>2068-03-09 00:00:00</td>
<td>tottenham hotspur</td>
<td>a</td>
<td>1-1</td>
<td>hateley 54'</td>
<td>54005</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>5</th>
<td>2068-03-12 00:00:00</td>
<td>tottenham hotspur</td>
<td>h</td>
<td>2-1</td>
<td>hunt 23' smith 78 pen'</td>
<td>53658</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>6</th>
<td>2068-03-30 00:00:00</td>
<td>west bromwich albion</td>
<td>a</td>
<td>0-0</td>
<td>none</td>
<td>53062</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>7</th>
<td>2068-04-08 00:00:00</td>
<td>west bromwich albion</td>
<td>h</td>
<td>1-1</td>
<td>hateley 24'</td>
<td>54273</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>8</th>
<td>2068-04-18 00:00:00</td>
<td>west bromwich albion</td>
<td>n</td>
<td>1-2</td>
<td>hateley 39'</td>
<td>56000</td>
<td>report</td>
<td>report</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "report 1" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select count ( report 1 ) where attendance > 5 <table_name> : table | | date | opponents | venue | result | scorers | attendance | report 1 | report 2 |
|---:|:--------------------|:---------------------|:--------|:---------|:---------------------------------------------|-------------:|:-----------|:-----------|
| 0 | 2068-01-27 00:00:00 | bournemouth | a | 0-0 | none | 24388 | report | report |
| 1 | 2068-01-30 00:00:00 | bournemouth | h | 4-1 | hateley 33' thompson 44' hunt 51' lawler 73' | 54075 | report | report |
| 2 | 2068-02-17 00:00:00 | walsall | a | 0-0 | none | 21066 | report | report |
| 3 | 2068-02-19 00:00:00 | walsall | h | 5-2 | hateley 24', 33', 64', 71' strong 34' | 39113 | report | report |
| 4 | 2068-03-09 00:00:00 | tottenham hotspur | a | 1-1 | hateley 54' | 54005 | report | report |
| 5 | 2068-03-12 00:00:00 | tottenham hotspur | h | 2-1 | hunt 23' smith 78 pen' | 53658 | report | report |
| 6 | 2068-03-30 00:00:00 | west bromwich albion | a | 0-0 | none | 53062 | report | report |
| 7 | 2068-04-08 00:00:00 | west bromwich albion | h | 1-1 | hateley 24' | 54273 | report | report |
| 8 | 2068-04-18 00:00:00 | west bromwich albion | n | 1-2 | hateley 39' | 56000 | report | report | | | | count ( "report 1" ) |
|---:|-----------------------:|
| 0 | 6 | | [
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select count ( * ) where women's team = 'chinese taipei' col : association | joining year | men's team | women's team | league row 1 : china pr | 2002 | china | china | chinese super league row 2 : guam | 2002 | guam | guam | guam league row 3 : hong kong | 2002 | hong kong | hong kong | hong kong first division league row 4 : japan | 2002 | japan | japan | j. league row 5 : korea dpr | 2002 | korea dpr | korea dpr | dpr korea league row 6 : korea republic | 2002 | korea republic | korea republic | k-league row 7 : macau | 2002 | macau | macau | campeonato da 1a divisao do futebol row 8 : mongolia | 2002 | mongolia | mongolia | mongolia premier league row 9 : northern mariana islands | 2008 | northern mariana islands | northern mariana islands | northern mariana championship row 10 : chinese taipei | 2002 | chinese taipei | chinese taipei | intercity football league | col : count ( "*" ) row 1 : 1 | select count ( * ) where women's team = 'chinese taipei' <table_name> : table \begin{tabular}{llllll}
\toprule
& association & joining year & men's team & women's team & league \\
\midrule
0 & china pr & 2002 & china & china & chinese super league \\
1 & guam & 2002 & guam & guam & guam league \\
2 & hong kong & 2002 & hong kong & hong kong & hong kong first division league \\
3 & japan & 2002 & japan & japan & j. league \\
4 & korea dpr & 2002 & korea dpr & korea dpr & dpr korea league \\
5 & korea republic & 2002 & korea republic & korea republic & k-league \\
6 & macau & 2002 & macau & macau & campeonato da 1a divisao do futebol \\
7 & mongolia & 2002 & mongolia & mongolia & mongolia premier league \\
8 & northern mariana islands & 2008 & northern mariana islands & northern mariana islands & northern mariana championship \\
9 & chinese taipei & 2002 & chinese taipei & chinese taipei & intercity football league \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where women's team = 'chinese taipei' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>association</th>
<th>joining year</th>
<th>men's team</th>
<th>women's team</th>
<th>league</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>china pr</td>
<td>2002</td>
<td>china</td>
<td>china</td>
<td>chinese super league</td>
</tr>
<tr>
<th>1</th>
<td>guam</td>
<td>2002</td>
<td>guam</td>
<td>guam</td>
<td>guam league</td>
</tr>
<tr>
<th>2</th>
<td>hong kong</td>
<td>2002</td>
<td>hong kong</td>
<td>hong kong</td>
<td>hong kong first division league</td>
</tr>
<tr>
<th>3</th>
<td>japan</td>
<td>2002</td>
<td>japan</td>
<td>japan</td>
<td>j. league</td>
</tr>
<tr>
<th>4</th>
<td>korea dpr</td>
<td>2002</td>
<td>korea dpr</td>
<td>korea dpr</td>
<td>dpr korea league</td>
</tr>
<tr>
<th>5</th>
<td>korea republic</td>
<td>2002</td>
<td>korea republic</td>
<td>korea republic</td>
<td>k-league</td>
</tr>
<tr>
<th>6</th>
<td>macau</td>
<td>2002</td>
<td>macau</td>
<td>macau</td>
<td>campeonato da 1a divisao do futebol</td>
</tr>
<tr>
<th>7</th>
<td>mongolia</td>
<td>2002</td>
<td>mongolia</td>
<td>mongolia</td>
<td>mongolia premier league</td>
</tr>
<tr>
<th>8</th>
<td>northern mariana islands</td>
<td>2008</td>
<td>northern mariana islands</td>
<td>northern mariana islands</td>
<td>northern mariana championship</td>
</tr>
<tr>
<th>9</th>
<td>chinese taipei</td>
<td>2002</td>
<td>chinese taipei</td>
<td>chinese taipei</td>
<td>intercity football league</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where women's team = 'chinese taipei' <table_name> : table | | association | joining year | men's team | women's team | league |
|---:|:-------------------------|---------------:|:-------------------------|:-------------------------|:------------------------------------|
| 0 | china pr | 2002 | china | china | chinese super league |
| 1 | guam | 2002 | guam | guam | guam league |
| 2 | hong kong | 2002 | hong kong | hong kong | hong kong first division league |
| 3 | japan | 2002 | japan | japan | j. league |
| 4 | korea dpr | 2002 | korea dpr | korea dpr | dpr korea league |
| 5 | korea republic | 2002 | korea republic | korea republic | k-league |
| 6 | macau | 2002 | macau | macau | campeonato da 1a divisao do futebol |
| 7 | mongolia | 2002 | mongolia | mongolia | mongolia premier league |
| 8 | northern mariana islands | 2008 | northern mariana islands | northern mariana islands | northern mariana championship |
| 9 | chinese taipei | 2002 | chinese taipei | chinese taipei | intercity football league | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( candidate ) where ∆% = '-0.07' col : party | candidate | votes | % | ∆% row 1 : conservative | joe daniel | 14422 | 36.78 | 5.78 row 2 : liberal | yasmin ratansi | 13552 | 34.56 | -13.51 row 3 : new democratic | mary trapani hynes | 9878 | 25.19 | 11.87 row 4 : green | akil sadikali | 1114 | 2.84 | -4.05 row 5 : christian heritage | ryan kidd | 246 | 0.63 | -0.07 row 6 : total valid votes | total valid votes | 39212 | 100 | none row 7 : total rejected ballots | total rejected ballots | 218 | 0.55 | none row 8 : turnout | turnout | 39430 | 57.24 | none row 9 : eligible voters | eligible voters | 68890 | none | none | col : count ( "candidate" ) row 1 : 1 | select count ( candidate ) where ∆% = '-0.07' <table_name> : table \begin{tabular}{llllll}
\toprule
& party & candidate & votes & % & ∆% \\
\midrule
0 & conservative & joe daniel & 14422 & 36.78 & 5.78 \\
1 & liberal & yasmin ratansi & 13552 & 34.56 & -13.51 \\
2 & new democratic & mary trapani hynes & 9878 & 25.19 & 11.87 \\
3 & green & akil sadikali & 1114 & 2.84 & -4.05 \\
4 & christian heritage & ryan kidd & 246 & 0.63 & -0.07 \\
5 & total valid votes & total valid votes & 39212 & 100 & none \\
6 & total rejected ballots & total rejected ballots & 218 & 0.55 & none \\
7 & turnout & turnout & 39430 & 57.24 & none \\
8 & eligible voters & eligible voters & 68890 & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "candidate" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( candidate ) where ∆% = '-0.07' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>party</th>
<th>candidate</th>
<th>votes</th>
<th>%</th>
<th>∆%</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>conservative</td>
<td>joe daniel</td>
<td>14422</td>
<td>36.78</td>
<td>5.78</td>
</tr>
<tr>
<th>1</th>
<td>liberal</td>
<td>yasmin ratansi</td>
<td>13552</td>
<td>34.56</td>
<td>-13.51</td>
</tr>
<tr>
<th>2</th>
<td>new democratic</td>
<td>mary trapani hynes</td>
<td>9878</td>
<td>25.19</td>
<td>11.87</td>
</tr>
<tr>
<th>3</th>
<td>green</td>
<td>akil sadikali</td>
<td>1114</td>
<td>2.84</td>
<td>-4.05</td>
</tr>
<tr>
<th>4</th>
<td>christian heritage</td>
<td>ryan kidd</td>
<td>246</td>
<td>0.63</td>
<td>-0.07</td>
</tr>
<tr>
<th>5</th>
<td>total valid votes</td>
<td>total valid votes</td>
<td>39212</td>
<td>100</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>total rejected ballots</td>
<td>total rejected ballots</td>
<td>218</td>
<td>0.55</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>turnout</td>
<td>turnout</td>
<td>39430</td>
<td>57.24</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>eligible voters</td>
<td>eligible voters</td>
<td>68890</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "candidate" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( candidate ) where ∆% = '-0.07' <table_name> : table | | party | candidate | votes | % | ∆% |
|---:|:-----------------------|:-----------------------|--------:|:------|:-------|
| 0 | conservative | joe daniel | 14422 | 36.78 | 5.78 |
| 1 | liberal | yasmin ratansi | 13552 | 34.56 | -13.51 |
| 2 | new democratic | mary trapani hynes | 9878 | 25.19 | 11.87 |
| 3 | green | akil sadikali | 1114 | 2.84 | -4.05 |
| 4 | christian heritage | ryan kidd | 246 | 0.63 | -0.07 |
| 5 | total valid votes | total valid votes | 39212 | 100 | none |
| 6 | total rejected ballots | total rejected ballots | 218 | 0.55 | none |
| 7 | turnout | turnout | 39430 | 57.24 | none |
| 8 | eligible voters | eligible voters | 68890 | none | none | | | | count ( "candidate" ) |
|---:|------------------------:|
| 0 | 1 | | [
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select count ( * ) where team = 'palestra italia-sp' col : position | team | points | played | won | drawn | lost | for | against | difference row 1 : 1 | paulistano | 30 | 18 | 14 | 2 | 2 | 62 | 19 | 43 row 2 : 2 | palestra italia-sp | 29 | 18 | 14 | 1 | 3 | 59 | 21 | 38 row 3 : 3 | corinthians | 26 | 18 | 12 | 2 | 4 | 51 | 16 | 35 row 4 : 4 | ypiranga-sp | 25 | 18 | 11 | 3 | 4 | 56 | 34 | 22 row 5 : 5 | aa sao bento | 16 | 18 | 7 | 2 | 9 | 38 | 44 | -6 row 6 : 6 | santos | 13 | 18 | 6 | 1 | 11 | 36 | 43 | -7 row 7 : 7 | sc internacional de sao paulo | 11 | 15 | 3 | 5 | 7 | 26 | 44 | -18 row 8 : 8 | minas gerais | 10 | 15 | 4 | 2 | 9 | 18 | 49 | -31 row 9 : 9 | aa das palmeiras | 6 | 15 | 3 | 0 | 12 | 27 | 57 | -30 row 10 : 10 | mackenzie | 2 | 15 | 1 | 0 | 14 | 11 | 57 | -46 | col : count ( "*" ) row 1 : 1 | select count ( * ) where team = 'palestra italia-sp' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& position & team & points & played & won & drawn & lost & for & against & difference \\
\midrule
0 & 1 & paulistano & 30 & 18 & 14 & 2 & 2 & 62 & 19 & 43 \\
1 & 2 & palestra italia-sp & 29 & 18 & 14 & 1 & 3 & 59 & 21 & 38 \\
2 & 3 & corinthians & 26 & 18 & 12 & 2 & 4 & 51 & 16 & 35 \\
3 & 4 & ypiranga-sp & 25 & 18 & 11 & 3 & 4 & 56 & 34 & 22 \\
4 & 5 & aa sao bento & 16 & 18 & 7 & 2 & 9 & 38 & 44 & -6 \\
5 & 6 & santos & 13 & 18 & 6 & 1 & 11 & 36 & 43 & -7 \\
6 & 7 & sc internacional de sao paulo & 11 & 15 & 3 & 5 & 7 & 26 & 44 & -18 \\
7 & 8 & minas gerais & 10 & 15 & 4 & 2 & 9 & 18 & 49 & -31 \\
8 & 9 & aa das palmeiras & 6 & 15 & 3 & 0 & 12 & 27 & 57 & -30 \\
9 & 10 & mackenzie & 2 & 15 & 1 & 0 & 14 & 11 & 57 & -46 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where team = 'palestra italia-sp' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>position</th>
<th>team</th>
<th>points</th>
<th>played</th>
<th>won</th>
<th>drawn</th>
<th>lost</th>
<th>for</th>
<th>against</th>
<th>difference</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>paulistano</td>
<td>30</td>
<td>18</td>
<td>14</td>
<td>2</td>
<td>2</td>
<td>62</td>
<td>19</td>
<td>43</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>palestra italia-sp</td>
<td>29</td>
<td>18</td>
<td>14</td>
<td>1</td>
<td>3</td>
<td>59</td>
<td>21</td>
<td>38</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>corinthians</td>
<td>26</td>
<td>18</td>
<td>12</td>
<td>2</td>
<td>4</td>
<td>51</td>
<td>16</td>
<td>35</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>ypiranga-sp</td>
<td>25</td>
<td>18</td>
<td>11</td>
<td>3</td>
<td>4</td>
<td>56</td>
<td>34</td>
<td>22</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>aa sao bento</td>
<td>16</td>
<td>18</td>
<td>7</td>
<td>2</td>
<td>9</td>
<td>38</td>
<td>44</td>
<td>-6</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>santos</td>
<td>13</td>
<td>18</td>
<td>6</td>
<td>1</td>
<td>11</td>
<td>36</td>
<td>43</td>
<td>-7</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>sc internacional de sao paulo</td>
<td>11</td>
<td>15</td>
<td>3</td>
<td>5</td>
<td>7</td>
<td>26</td>
<td>44</td>
<td>-18</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>minas gerais</td>
<td>10</td>
<td>15</td>
<td>4</td>
<td>2</td>
<td>9</td>
<td>18</td>
<td>49</td>
<td>-31</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>aa das palmeiras</td>
<td>6</td>
<td>15</td>
<td>3</td>
<td>0</td>
<td>12</td>
<td>27</td>
<td>57</td>
<td>-30</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>mackenzie</td>
<td>2</td>
<td>15</td>
<td>1</td>
<td>0</td>
<td>14</td>
<td>11</td>
<td>57</td>
<td>-46</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where team = 'palestra italia-sp' <table_name> : table | | position | team | points | played | won | drawn | lost | for | against | difference |
|---:|-----------:|:------------------------------|---------:|---------:|------:|--------:|-------:|------:|----------:|-------------:|
| 0 | 1 | paulistano | 30 | 18 | 14 | 2 | 2 | 62 | 19 | 43 |
| 1 | 2 | palestra italia-sp | 29 | 18 | 14 | 1 | 3 | 59 | 21 | 38 |
| 2 | 3 | corinthians | 26 | 18 | 12 | 2 | 4 | 51 | 16 | 35 |
| 3 | 4 | ypiranga-sp | 25 | 18 | 11 | 3 | 4 | 56 | 34 | 22 |
| 4 | 5 | aa sao bento | 16 | 18 | 7 | 2 | 9 | 38 | 44 | -6 |
| 5 | 6 | santos | 13 | 18 | 6 | 1 | 11 | 36 | 43 | -7 |
| 6 | 7 | sc internacional de sao paulo | 11 | 15 | 3 | 5 | 7 | 26 | 44 | -18 |
| 7 | 8 | minas gerais | 10 | 15 | 4 | 2 | 9 | 18 | 49 | -31 |
| 8 | 9 | aa das palmeiras | 6 | 15 | 3 | 0 | 12 | 27 | 57 | -30 |
| 9 | 10 | mackenzie | 2 | 15 | 1 | 0 | 14 | 11 | 57 | -46 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select score where result = '1–3' col : # | date | venue | opponent | score | result | competition row 1 : 1 | 1985-04-04 00:00:00 | portland, oregon | canada | none | 1–1 | friendly row 2 : 2 | 1988-08-13 00:00:00 | st. louis, missouri | jamaica | 2–1 | 5-1 | 1990 world cup qualifying row 3 : 3 | 1989-09-17 00:00:00 | tegucigalpa, honduras | el salvador | 1–0 | 1–0 | 1990 world cup qualifying row 4 : 4 | 1991-07-03 00:00:00 | los angeles, california | costa rica | 2–2 | 3–2 | 1991 concacaf gold cup row 5 : 5 | 1992-03-18 00:00:00 | casablanca, morocco | morocco | 1–2 | 1–3 | friendly row 6 : 6 | 1992-04-04 00:00:00 | palo alto, california | china pr | 1–0 | 1-0 | friendly row 7 : 7 | 1992-04-04 00:00:00 | palo alto, california | china pr | 5–0 | 1-0 | friendly row 8 : 8 | 1993-03-14 00:00:00 | tokyo, japan | japan | 1–0 | 1–3 | friendly row 9 : 9 | 1993-10-16 00:00:00 | high point, north carolina | ukraine | 1–0 | 1–2 | friendly row 10 : 10 | 1993-12-05 00:00:00 | los angeles, california | el salvador | 5–0 | 7–0 | friendly row 11 : 11 | 1994-02-20 00:00:00 | miami, florida | sweden | 1–3 | 1–0 | friendly row 12 : 12 | 1994-03-26 00:00:00 | dallas, texas | bolivia | 1–1 | 2–2 | friendly | col : score row 1 : 1–2 row 2 : 1–0 | select score where result = '1–3' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 1985-04-04 00:00:00 & portland, oregon & canada & none & 1–1 & friendly \\
1 & 2 & 1988-08-13 00:00:00 & st. louis, missouri & jamaica & 2–1 & 5-1 & 1990 world cup qualifying \\
2 & 3 & 1989-09-17 00:00:00 & tegucigalpa, honduras & el salvador & 1–0 & 1–0 & 1990 world cup qualifying \\
3 & 4 & 1991-07-03 00:00:00 & los angeles, california & costa rica & 2–2 & 3–2 & 1991 concacaf gold cup \\
4 & 5 & 1992-03-18 00:00:00 & casablanca, morocco & morocco & 1–2 & 1–3 & friendly \\
5 & 6 & 1992-04-04 00:00:00 & palo alto, california & china pr & 1–0 & 1-0 & friendly \\
6 & 7 & 1992-04-04 00:00:00 & palo alto, california & china pr & 5–0 & 1-0 & friendly \\
7 & 8 & 1993-03-14 00:00:00 & tokyo, japan & japan & 1–0 & 1–3 & friendly \\
8 & 9 & 1993-10-16 00:00:00 & high point, north carolina & ukraine & 1–0 & 1–2 & friendly \\
9 & 10 & 1993-12-05 00:00:00 & los angeles, california & el salvador & 5–0 & 7–0 & friendly \\
10 & 11 & 1994-02-20 00:00:00 & miami, florida & sweden & 1–3 & 1–0 & friendly \\
11 & 12 & 1994-03-26 00:00:00 & dallas, texas & bolivia & 1–1 & 2–2 & friendly \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& score \\
\midrule
0 & 1–2 \\
1 & 1–0 \\
\bottomrule
\end{tabular}
| select score where result = '1–3' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1985-04-04 00:00:00</td>
<td>portland, oregon</td>
<td>canada</td>
<td>none</td>
<td>1–1</td>
<td>friendly</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1988-08-13 00:00:00</td>
<td>st. louis, missouri</td>
<td>jamaica</td>
<td>2–1</td>
<td>5-1</td>
<td>1990 world cup qualifying</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1989-09-17 00:00:00</td>
<td>tegucigalpa, honduras</td>
<td>el salvador</td>
<td>1–0</td>
<td>1–0</td>
<td>1990 world cup qualifying</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1991-07-03 00:00:00</td>
<td>los angeles, california</td>
<td>costa rica</td>
<td>2–2</td>
<td>3–2</td>
<td>1991 concacaf gold cup</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1992-03-18 00:00:00</td>
<td>casablanca, morocco</td>
<td>morocco</td>
<td>1–2</td>
<td>1–3</td>
<td>friendly</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1992-04-04 00:00:00</td>
<td>palo alto, california</td>
<td>china pr</td>
<td>1–0</td>
<td>1-0</td>
<td>friendly</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>1992-04-04 00:00:00</td>
<td>palo alto, california</td>
<td>china pr</td>
<td>5–0</td>
<td>1-0</td>
<td>friendly</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>1993-03-14 00:00:00</td>
<td>tokyo, japan</td>
<td>japan</td>
<td>1–0</td>
<td>1–3</td>
<td>friendly</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>1993-10-16 00:00:00</td>
<td>high point, north carolina</td>
<td>ukraine</td>
<td>1–0</td>
<td>1–2</td>
<td>friendly</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>1993-12-05 00:00:00</td>
<td>los angeles, california</td>
<td>el salvador</td>
<td>5–0</td>
<td>7–0</td>
<td>friendly</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>1994-02-20 00:00:00</td>
<td>miami, florida</td>
<td>sweden</td>
<td>1–3</td>
<td>1–0</td>
<td>friendly</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>1994-03-26 00:00:00</td>
<td>dallas, texas</td>
<td>bolivia</td>
<td>1–1</td>
<td>2–2</td>
<td>friendly</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1–2</td>
</tr>
<tr>
<th>1</th>
<td>1–0</td>
</tr>
</tbody>
</table> | select score where result = '1–3' <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:---------------------------|:------------|:--------|:---------|:--------------------------|
| 0 | 1 | 1985-04-04 00:00:00 | portland, oregon | canada | none | 1–1 | friendly |
| 1 | 2 | 1988-08-13 00:00:00 | st. louis, missouri | jamaica | 2–1 | 5-1 | 1990 world cup qualifying |
| 2 | 3 | 1989-09-17 00:00:00 | tegucigalpa, honduras | el salvador | 1–0 | 1–0 | 1990 world cup qualifying |
| 3 | 4 | 1991-07-03 00:00:00 | los angeles, california | costa rica | 2–2 | 3–2 | 1991 concacaf gold cup |
| 4 | 5 | 1992-03-18 00:00:00 | casablanca, morocco | morocco | 1–2 | 1–3 | friendly |
| 5 | 6 | 1992-04-04 00:00:00 | palo alto, california | china pr | 1–0 | 1-0 | friendly |
| 6 | 7 | 1992-04-04 00:00:00 | palo alto, california | china pr | 5–0 | 1-0 | friendly |
| 7 | 8 | 1993-03-14 00:00:00 | tokyo, japan | japan | 1–0 | 1–3 | friendly |
| 8 | 9 | 1993-10-16 00:00:00 | high point, north carolina | ukraine | 1–0 | 1–2 | friendly |
| 9 | 10 | 1993-12-05 00:00:00 | los angeles, california | el salvador | 5–0 | 7–0 | friendly |
| 10 | 11 | 1994-02-20 00:00:00 | miami, florida | sweden | 1–3 | 1–0 | friendly |
| 11 | 12 | 1994-03-26 00:00:00 | dallas, texas | bolivia | 1–1 | 2–2 | friendly | | | | score |
|---:|:--------|
| 0 | 1–2 |
| 1 | 1–0 | | [
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select notes where year = 2007 col : year | title | role | notes row 1 : 2006 | save the last dance 2 | mixx | direct to video row 2 : 2007 | nick cannon/wild 'n out | himself | improv comedy row 3 : 2007 | stomp the yard | rich brown | film row 4 : 2011 | csi: ny | the hitman | episode 7.14 "smooth criminal" row 5 : 2011 | the fresh beat band | himself | special episode "band in a jam" row 6 : 2011 | battle: los angeles | specks | film row 7 : 2012 | empire girls: julissa & adrienne | himself | reality-show row 8 : 2012 | red tails | andrew 'smoky' salem | film row 9 : 2012 | i heart tuesdays | none | (tv), creator row 10 : 2012 | the x factor | guest mentor | none row 11 : 2012 | never mind the buzzcocks | guest host | none row 12 : 2012 | 90210 | guest star | none | col : notes row 1 : improv comedy row 2 : film | select notes where year = 2007 <table_name> : table \begin{tabular}{lllll}
\toprule
& year & title & role & notes \\
\midrule
0 & 2006 & save the last dance 2 & mixx & direct to video \\
1 & 2007 & nick cannon/wild 'n out & himself & improv comedy \\
2 & 2007 & stomp the yard & rich brown & film \\
3 & 2011 & csi: ny & the hitman & episode 7.14 "smooth criminal" \\
4 & 2011 & the fresh beat band & himself & special episode "band in a jam" \\
5 & 2011 & battle: los angeles & specks & film \\
6 & 2012 & empire girls: julissa & adrienne & himself & reality-show \\
7 & 2012 & red tails & andrew 'smoky' salem & film \\
8 & 2012 & i heart tuesdays & none & (tv), creator \\
9 & 2012 & the x factor & guest mentor & none \\
10 & 2012 & never mind the buzzcocks & guest host & none \\
11 & 2012 & 90210 & guest star & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& notes \\
\midrule
0 & improv comedy \\
1 & film \\
\bottomrule
\end{tabular}
| select notes where year = 2007 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>role</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2006</td>
<td>save the last dance 2</td>
<td>mixx</td>
<td>direct to video</td>
</tr>
<tr>
<th>1</th>
<td>2007</td>
<td>nick cannon/wild 'n out</td>
<td>himself</td>
<td>improv comedy</td>
</tr>
<tr>
<th>2</th>
<td>2007</td>
<td>stomp the yard</td>
<td>rich brown</td>
<td>film</td>
</tr>
<tr>
<th>3</th>
<td>2011</td>
<td>csi: ny</td>
<td>the hitman</td>
<td>episode 7.14 "smooth criminal"</td>
</tr>
<tr>
<th>4</th>
<td>2011</td>
<td>the fresh beat band</td>
<td>himself</td>
<td>special episode "band in a jam"</td>
</tr>
<tr>
<th>5</th>
<td>2011</td>
<td>battle: los angeles</td>
<td>specks</td>
<td>film</td>
</tr>
<tr>
<th>6</th>
<td>2012</td>
<td>empire girls: julissa & adrienne</td>
<td>himself</td>
<td>reality-show</td>
</tr>
<tr>
<th>7</th>
<td>2012</td>
<td>red tails</td>
<td>andrew 'smoky' salem</td>
<td>film</td>
</tr>
<tr>
<th>8</th>
<td>2012</td>
<td>i heart tuesdays</td>
<td>none</td>
<td>(tv), creator</td>
</tr>
<tr>
<th>9</th>
<td>2012</td>
<td>the x factor</td>
<td>guest mentor</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>2012</td>
<td>never mind the buzzcocks</td>
<td>guest host</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>2012</td>
<td>90210</td>
<td>guest star</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>improv comedy</td>
</tr>
<tr>
<th>1</th>
<td>film</td>
</tr>
</tbody>
</table> | select notes where year = 2007 <table_name> : table | | year | title | role | notes |
|---:|-------:|:---------------------------------|:---------------------|:--------------------------------|
| 0 | 2006 | save the last dance 2 | mixx | direct to video |
| 1 | 2007 | nick cannon/wild 'n out | himself | improv comedy |
| 2 | 2007 | stomp the yard | rich brown | film |
| 3 | 2011 | csi: ny | the hitman | episode 7.14 "smooth criminal" |
| 4 | 2011 | the fresh beat band | himself | special episode "band in a jam" |
| 5 | 2011 | battle: los angeles | specks | film |
| 6 | 2012 | empire girls: julissa & adrienne | himself | reality-show |
| 7 | 2012 | red tails | andrew 'smoky' salem | film |
| 8 | 2012 | i heart tuesdays | none | (tv), creator |
| 9 | 2012 | the x factor | guest mentor | none |
| 10 | 2012 | never mind the buzzcocks | guest host | none |
| 11 | 2012 | 90210 | guest star | none | | | | notes |
|---:|:--------------|
| 0 | improv comedy |
| 1 | film | | [
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] |
select directed by - title where no = '8' col : no | title | directed by | released row 1 : 1 | "kloot's kounty" | hawley pratt | 1973 row 2 : 2 | "apache on the county seat" | hawley pratt | 1973 row 3 : 3 | "the shoe must go on" | gerry chiniquy | 1973 row 4 : 4 | "a self winding sidewinder" | roy morita | 1973 row 5 : 5 | "pay your buffalo bill" | gerry chiniquy | 1973 row 6 : 6 | "stirrups and hiccups" | gerry chiniquy | 1973 row 7 : 7 | "ten miles to the gallop" | arthur leonardi | 1973 row 8 : 8 | "phony express" | gerry chiniquy | 1974 row 9 : 9 | "giddy up woe" | sid marcus | 1974 row 10 : 10 | "gold struck" | roy morita | 1974 row 11 : 11 | "as the tumbleweeds turn" | gerry chiniquy | 1974 row 12 : 12 | "the badge and the beautiful" | bob balsar | 1974 row 13 : 13 | "big beef at o.k. corral" | bob balsar | 1974 row 14 : 14 | "by hoot or by crook" | bob balsar | 1974 row 15 : 15 | "strange on the range" | durward bonaye | 1974 row 16 : 16 | "mesa trouble" | sid marcus | 1974 row 17 : 17 | "saddle soap opera" | gerry chiniquy | 1974 | col : "directed by - title" row 1 : directed by - title | select directed by - title where no = '8' <table_name> : table \begin{tabular}{lllll}
\toprule
& no & title & directed by & released \\
\midrule
0 & 1 & "kloot's kounty" & hawley pratt & 1973 \\
1 & 2 & "apache on the county seat" & hawley pratt & 1973 \\
2 & 3 & "the shoe must go on" & gerry chiniquy & 1973 \\
3 & 4 & "a self winding sidewinder" & roy morita & 1973 \\
4 & 5 & "pay your buffalo bill" & gerry chiniquy & 1973 \\
5 & 6 & "stirrups and hiccups" & gerry chiniquy & 1973 \\
6 & 7 & "ten miles to the gallop" & arthur leonardi & 1973 \\
7 & 8 & "phony express" & gerry chiniquy & 1974 \\
8 & 9 & "giddy up woe" & sid marcus & 1974 \\
9 & 10 & "gold struck" & roy morita & 1974 \\
10 & 11 & "as the tumbleweeds turn" & gerry chiniquy & 1974 \\
11 & 12 & "the badge and the beautiful" & bob balsar & 1974 \\
12 & 13 & "big beef at o.k. corral" & bob balsar & 1974 \\
13 & 14 & "by hoot or by crook" & bob balsar & 1974 \\
14 & 15 & "strange on the range" & durward bonaye & 1974 \\
15 & 16 & "mesa trouble" & sid marcus & 1974 \\
16 & 17 & "saddle soap opera" & gerry chiniquy & 1974 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "directed by - title" \\
\midrule
0 & directed by - title \\
\bottomrule
\end{tabular}
| select directed by - title where no = '8' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no</th>
<th>title</th>
<th>directed by</th>
<th>released</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>"kloot's kounty"</td>
<td>hawley pratt</td>
<td>1973</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>"apache on the county seat"</td>
<td>hawley pratt</td>
<td>1973</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>"the shoe must go on"</td>
<td>gerry chiniquy</td>
<td>1973</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>"a self winding sidewinder"</td>
<td>roy morita</td>
<td>1973</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>"pay your buffalo bill"</td>
<td>gerry chiniquy</td>
<td>1973</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>"stirrups and hiccups"</td>
<td>gerry chiniquy</td>
<td>1973</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>"ten miles to the gallop"</td>
<td>arthur leonardi</td>
<td>1973</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>"phony express"</td>
<td>gerry chiniquy</td>
<td>1974</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>"giddy up woe"</td>
<td>sid marcus</td>
<td>1974</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>"gold struck"</td>
<td>roy morita</td>
<td>1974</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>"as the tumbleweeds turn"</td>
<td>gerry chiniquy</td>
<td>1974</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>"the badge and the beautiful"</td>
<td>bob balsar</td>
<td>1974</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>"big beef at o.k. corral"</td>
<td>bob balsar</td>
<td>1974</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>"by hoot or by crook"</td>
<td>bob balsar</td>
<td>1974</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>"strange on the range"</td>
<td>durward bonaye</td>
<td>1974</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>"mesa trouble"</td>
<td>sid marcus</td>
<td>1974</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>"saddle soap opera"</td>
<td>gerry chiniquy</td>
<td>1974</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"directed by - title"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>directed by - title</td>
</tr>
</tbody>
</table> | select directed by - title where no = '8' <table_name> : table | | no | title | directed by | released |
|---:|-----:|:------------------------------|:----------------|-----------:|
| 0 | 1 | "kloot's kounty" | hawley pratt | 1973 |
| 1 | 2 | "apache on the county seat" | hawley pratt | 1973 |
| 2 | 3 | "the shoe must go on" | gerry chiniquy | 1973 |
| 3 | 4 | "a self winding sidewinder" | roy morita | 1973 |
| 4 | 5 | "pay your buffalo bill" | gerry chiniquy | 1973 |
| 5 | 6 | "stirrups and hiccups" | gerry chiniquy | 1973 |
| 6 | 7 | "ten miles to the gallop" | arthur leonardi | 1973 |
| 7 | 8 | "phony express" | gerry chiniquy | 1974 |
| 8 | 9 | "giddy up woe" | sid marcus | 1974 |
| 9 | 10 | "gold struck" | roy morita | 1974 |
| 10 | 11 | "as the tumbleweeds turn" | gerry chiniquy | 1974 |
| 11 | 12 | "the badge and the beautiful" | bob balsar | 1974 |
| 12 | 13 | "big beef at o.k. corral" | bob balsar | 1974 |
| 13 | 14 | "by hoot or by crook" | bob balsar | 1974 |
| 14 | 15 | "strange on the range" | durward bonaye | 1974 |
| 15 | 16 | "mesa trouble" | sid marcus | 1974 |
| 16 | 17 | "saddle soap opera" | gerry chiniquy | 1974 | | | | "directed by - title" |
|---:|:------------------------|
| 0 | directed by - title | | [
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select count ( nation ) where rank = 0 col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 63 | 46 | 32 | 141 row 2 : 2 | great britain | 35 | 30 | 29 | 94 row 3 : 3 | canada | 28 | 19 | 25 | 72 row 4 : 4 | united states | 27 | 22 | 39 | 88 row 5 : 5 | australia | 26 | 38 | 36 | 100 row 6 : 6 | ukraine | 24 | 12 | 19 | 55 row 7 : 7 | spain | 20 | 27 | 24 | 71 row 8 : 8 | germany | 19 | 28 | 31 | 78 row 9 : 9 | france | 18 | 26 | 30 | 74 row 10 : 10 | japan | 17 | 16 | 20 | 53 | col : count ( "nation" ) row 1 : 0 | select count ( nation ) where rank = 0 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & china & 63 & 46 & 32 & 141 \\
1 & 2 & great britain & 35 & 30 & 29 & 94 \\
2 & 3 & canada & 28 & 19 & 25 & 72 \\
3 & 4 & united states & 27 & 22 & 39 & 88 \\
4 & 5 & australia & 26 & 38 & 36 & 100 \\
5 & 6 & ukraine & 24 & 12 & 19 & 55 \\
6 & 7 & spain & 20 & 27 & 24 & 71 \\
7 & 8 & germany & 19 & 28 & 31 & 78 \\
8 & 9 & france & 18 & 26 & 30 & 74 \\
9 & 10 & japan & 17 & 16 & 20 & 53 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "nation" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( nation ) where rank = 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>china</td>
<td>63</td>
<td>46</td>
<td>32</td>
<td>141</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>great britain</td>
<td>35</td>
<td>30</td>
<td>29</td>
<td>94</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>canada</td>
<td>28</td>
<td>19</td>
<td>25</td>
<td>72</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>united states</td>
<td>27</td>
<td>22</td>
<td>39</td>
<td>88</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>australia</td>
<td>26</td>
<td>38</td>
<td>36</td>
<td>100</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>ukraine</td>
<td>24</td>
<td>12</td>
<td>19</td>
<td>55</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>spain</td>
<td>20</td>
<td>27</td>
<td>24</td>
<td>71</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>germany</td>
<td>19</td>
<td>28</td>
<td>31</td>
<td>78</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>france</td>
<td>18</td>
<td>26</td>
<td>30</td>
<td>74</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>japan</td>
<td>17</td>
<td>16</td>
<td>20</td>
<td>53</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "nation" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( nation ) where rank = 0 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|-------:|:--------------|-------:|---------:|---------:|--------:|
| 0 | 1 | china | 63 | 46 | 32 | 141 |
| 1 | 2 | great britain | 35 | 30 | 29 | 94 |
| 2 | 3 | canada | 28 | 19 | 25 | 72 |
| 3 | 4 | united states | 27 | 22 | 39 | 88 |
| 4 | 5 | australia | 26 | 38 | 36 | 100 |
| 5 | 6 | ukraine | 24 | 12 | 19 | 55 |
| 6 | 7 | spain | 20 | 27 | 24 | 71 |
| 7 | 8 | germany | 19 | 28 | 31 | 78 |
| 8 | 9 | france | 18 | 26 | 30 | 74 |
| 9 | 10 | japan | 17 | 16 | 20 | 53 | | | | count ( "nation" ) |
|---:|---------------------:|
| 0 | 0 | | [
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select level where position = '7th' col : season | level | division | section | position | movements row 1 : 1960 | tier 4 | division 4 | halsingland | 3rd | none row 2 : 1961 | tier 4 | division 4 | halsingland | 2nd | none row 3 : 1962 | tier 4 | division 4 | halsingland | 1st | promoted row 4 : 1963 | tier 3 | division 3 | sodra norrland | 6th | none row 5 : 1964 | tier 3 | division 3 | sodra norrland nedre | 4th | none row 6 : 1965 | tier 3 | division 3 | sodra norrland nedre | 10th | relegated row 7 : 1966 | tier 4 | division 4 | halsingland | 9th | none row 8 : 1967 | tier 4 | division 4 | halsingland | 2nd | none row 9 : 1968 | tier 4 | division 4 | halsingland | 6th | none row 10 : 1969 | tier 4 | division 4 | halsingland | 3rd | none row 11 : 1970 | tier 4 | division 4 | halsingland | 2nd | none row 12 : 1971 | tier 4 | division 4 | halsingland | 1st | promotion playoffs - promoted row 13 : 1972 | tier 3 | division 3 | norra svealand | 6th | none row 14 : 1973 | tier 3 | division 3 | norra svealand | 11th | relegated row 15 : 1974 | tier 4 | division 4 | halsingland | 1st | promoted row 16 : 1975 | tier 3 | division 3 | sodra norrland | 9th | none row 17 : 1976 | tier 3 | division 3 | sodra norrland | 9th | none row 18 : 1977 | tier 3 | division 3 | sodra norrland | 9th | none row 19 : 1978 | tier 3 | division 3 | sodra norrland | 6th | none row 20 : 1979 | tier 3 | division 3 | sodra norrland | 9th | none row 21 : 1980 | tier 3 | division 3 | sodra norrland | 7th | none row 22 : 1981 | tier 3 | division 3 | sodra norrland | 9th | none row 23 : 1982 | tier 3 | division 3 | sodra norrland | 12th | relegated row 24 : 1982 | tier 4 | division 4 | halsingland | 3rd | none | col : level row 1 : tier 3 | select level where position = '7th' <table_name> : table \begin{tabular}{lllllll}
\toprule
& season & level & division & section & position & movements \\
\midrule
0 & 1960 & tier 4 & division 4 & halsingland & 3rd & none \\
1 & 1961 & tier 4 & division 4 & halsingland & 2nd & none \\
2 & 1962 & tier 4 & division 4 & halsingland & 1st & promoted \\
3 & 1963 & tier 3 & division 3 & sodra norrland & 6th & none \\
4 & 1964 & tier 3 & division 3 & sodra norrland nedre & 4th & none \\
5 & 1965 & tier 3 & division 3 & sodra norrland nedre & 10th & relegated \\
6 & 1966 & tier 4 & division 4 & halsingland & 9th & none \\
7 & 1967 & tier 4 & division 4 & halsingland & 2nd & none \\
8 & 1968 & tier 4 & division 4 & halsingland & 6th & none \\
9 & 1969 & tier 4 & division 4 & halsingland & 3rd & none \\
10 & 1970 & tier 4 & division 4 & halsingland & 2nd & none \\
11 & 1971 & tier 4 & division 4 & halsingland & 1st & promotion playoffs - promoted \\
12 & 1972 & tier 3 & division 3 & norra svealand & 6th & none \\
13 & 1973 & tier 3 & division 3 & norra svealand & 11th & relegated \\
14 & 1974 & tier 4 & division 4 & halsingland & 1st & promoted \\
15 & 1975 & tier 3 & division 3 & sodra norrland & 9th & none \\
16 & 1976 & tier 3 & division 3 & sodra norrland & 9th & none \\
17 & 1977 & tier 3 & division 3 & sodra norrland & 9th & none \\
18 & 1978 & tier 3 & division 3 & sodra norrland & 6th & none \\
19 & 1979 & tier 3 & division 3 & sodra norrland & 9th & none \\
20 & 1980 & tier 3 & division 3 & sodra norrland & 7th & none \\
21 & 1981 & tier 3 & division 3 & sodra norrland & 9th & none \\
22 & 1982 & tier 3 & division 3 & sodra norrland & 12th & relegated \\
23 & 1982 & tier 4 & division 4 & halsingland & 3rd & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& level \\
\midrule
0 & tier 3 \\
\bottomrule
\end{tabular}
| select level where position = '7th' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>level</th>
<th>division</th>
<th>section</th>
<th>position</th>
<th>movements</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1960</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>3rd</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1961</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>2nd</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1962</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>1st</td>
<td>promoted</td>
</tr>
<tr>
<th>3</th>
<td>1963</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland</td>
<td>6th</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1964</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland nedre</td>
<td>4th</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1965</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland nedre</td>
<td>10th</td>
<td>relegated</td>
</tr>
<tr>
<th>6</th>
<td>1966</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>9th</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1967</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>2nd</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>1968</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>6th</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>1969</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>3rd</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>1970</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>2nd</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>1971</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>1st</td>
<td>promotion playoffs - promoted</td>
</tr>
<tr>
<th>12</th>
<td>1972</td>
<td>tier 3</td>
<td>division 3</td>
<td>norra svealand</td>
<td>6th</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>1973</td>
<td>tier 3</td>
<td>division 3</td>
<td>norra svealand</td>
<td>11th</td>
<td>relegated</td>
</tr>
<tr>
<th>14</th>
<td>1974</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>1st</td>
<td>promoted</td>
</tr>
<tr>
<th>15</th>
<td>1975</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland</td>
<td>9th</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>1976</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland</td>
<td>9th</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>1977</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland</td>
<td>9th</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>1978</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland</td>
<td>6th</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>1979</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland</td>
<td>9th</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>1980</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland</td>
<td>7th</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>1981</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland</td>
<td>9th</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>1982</td>
<td>tier 3</td>
<td>division 3</td>
<td>sodra norrland</td>
<td>12th</td>
<td>relegated</td>
</tr>
<tr>
<th>23</th>
<td>1982</td>
<td>tier 4</td>
<td>division 4</td>
<td>halsingland</td>
<td>3rd</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>level</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>tier 3</td>
</tr>
</tbody>
</table> | select level where position = '7th' <table_name> : table | | season | level | division | section | position | movements |
|---:|---------:|:--------|:-----------|:---------------------|:-----------|:------------------------------|
| 0 | 1960 | tier 4 | division 4 | halsingland | 3rd | none |
| 1 | 1961 | tier 4 | division 4 | halsingland | 2nd | none |
| 2 | 1962 | tier 4 | division 4 | halsingland | 1st | promoted |
| 3 | 1963 | tier 3 | division 3 | sodra norrland | 6th | none |
| 4 | 1964 | tier 3 | division 3 | sodra norrland nedre | 4th | none |
| 5 | 1965 | tier 3 | division 3 | sodra norrland nedre | 10th | relegated |
| 6 | 1966 | tier 4 | division 4 | halsingland | 9th | none |
| 7 | 1967 | tier 4 | division 4 | halsingland | 2nd | none |
| 8 | 1968 | tier 4 | division 4 | halsingland | 6th | none |
| 9 | 1969 | tier 4 | division 4 | halsingland | 3rd | none |
| 10 | 1970 | tier 4 | division 4 | halsingland | 2nd | none |
| 11 | 1971 | tier 4 | division 4 | halsingland | 1st | promotion playoffs - promoted |
| 12 | 1972 | tier 3 | division 3 | norra svealand | 6th | none |
| 13 | 1973 | tier 3 | division 3 | norra svealand | 11th | relegated |
| 14 | 1974 | tier 4 | division 4 | halsingland | 1st | promoted |
| 15 | 1975 | tier 3 | division 3 | sodra norrland | 9th | none |
| 16 | 1976 | tier 3 | division 3 | sodra norrland | 9th | none |
| 17 | 1977 | tier 3 | division 3 | sodra norrland | 9th | none |
| 18 | 1978 | tier 3 | division 3 | sodra norrland | 6th | none |
| 19 | 1979 | tier 3 | division 3 | sodra norrland | 9th | none |
| 20 | 1980 | tier 3 | division 3 | sodra norrland | 7th | none |
| 21 | 1981 | tier 3 | division 3 | sodra norrland | 9th | none |
| 22 | 1982 | tier 3 | division 3 | sodra norrland | 12th | relegated |
| 23 | 1982 | tier 4 | division 4 | halsingland | 3rd | none | | | | level |
|---:|:--------|
| 0 | tier 3 | | [
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select count ( nationality ) where rank > 1559 col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | none | none | none | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | none | none | none | q row 6 : 6 | none | none | none | q row 7 : 7 | none | none | none | q row 8 : 8 | none | none | none | q | col : count ( "nationality" ) row 1 : 7 | select count ( nationality ) where rank > 1559 <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & name & nationality & time & notes \\
\midrule
0 & 1 & janelle atkinson & jamaica & 4:16.89 & q \\
1 & 2 & none & none & none & q \\
2 & 3 & kaitlin sandeno & united states & 4:18.97 & q \\
3 & 4 & julia stowers & united states & 4:19.84 & q \\
4 & 5 & none & none & none & q \\
5 & 6 & none & none & none & q \\
6 & 7 & none & none & none & q \\
7 & 8 & none & none & none & q \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "nationality" ) \\
\midrule
0 & 7 \\
\bottomrule
\end{tabular}
| select count ( nationality ) where rank > 1559 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>name</th>
<th>nationality</th>
<th>time</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>janelle atkinson</td>
<td>jamaica</td>
<td>4:16.89</td>
<td>q</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>q</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>kaitlin sandeno</td>
<td>united states</td>
<td>4:18.97</td>
<td>q</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>julia stowers</td>
<td>united states</td>
<td>4:19.84</td>
<td>q</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>q</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>q</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>q</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>q</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "nationality" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>7</td>
</tr>
</tbody>
</table> | select count ( nationality ) where rank > 1559 <table_name> : table | | rank | name | nationality | time | notes |
|---:|-------:|:-----------------|:--------------|:--------|:--------|
| 0 | 1 | janelle atkinson | jamaica | 4:16.89 | q |
| 1 | 2 | none | none | none | q |
| 2 | 3 | kaitlin sandeno | united states | 4:18.97 | q |
| 3 | 4 | julia stowers | united states | 4:19.84 | q |
| 4 | 5 | none | none | none | q |
| 5 | 6 | none | none | none | q |
| 6 | 7 | none | none | none | q |
| 7 | 8 | none | none | none | q | | | | count ( "nationality" ) |
|---:|--------------------------:|
| 0 | 7 | | [
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select count ( * ) where change = '+18.4%' col : pos | team | total | high | low | average | change row 1 : 1 | honda motor | 13178 | 3305 | 402 | 879 | -11.9% row 2 : 2 | sc tottori | 12281 | 2124 | 401 | 819 | none row 3 : 3 | ntt west kumamoto | 10394 | 1378 | 324 | 693 | none row 4 : 4 | ehime fc | 9896 | 1250 | 348 | 660 | none row 5 : 5 | tochigi sc | 9723 | 1141 | 285 | 648 | -38.2% row 6 : 6 | otsuka pharmaceuticals | 8975 | 2391 | 284 | 598 | +18.4% row 7 : 7 | ykk fc | 8093 | 2477 | 198 | 540 | none row 8 : 8 | sony sendai | 7817 | 886 | 342 | 521 | -52.3% row 9 : 9 | yokogawa fc | 7334 | 1198 | 240 | 489 | -30.4% row 10 : 10 | alo's hokuriku | 6380 | 1801 | 180 | 425 | -12.1% row 11 : 11 | jatco fc | 6329 | 1075 | 167 | 422 | -36.7% row 12 : 12 | sagawa express | 5365 | 1054 | 48 | 358 | none row 13 : 13 | denso sc | 5344 | 831 | 119 | 356 | -17.7% row 14 : 14 | kyoken kyoto | 5262 | 468 | 203 | 351 | -9.0% row 15 : 15 | shizuoka sangyo university | 4013 | 803 | 101 | 268 | -48.8% row 16 : 16 | kokushikan university | 3298 | 414 | 54 | 220 | -28.3% row 17 : none | league total | 123682 | 3305 | 48 | 515 | -42.8% | col : count ( "*" ) row 1 : 1 | select count ( * ) where change = '+18.4%' <table_name> : table \begin{tabular}{llllllll}
\toprule
& pos & team & total & high & low & average & change \\
\midrule
0 & 1 & honda motor & 13178 & 3305 & 402 & 879 & -11.9% \\
1 & 2 & sc tottori & 12281 & 2124 & 401 & 819 & none \\
2 & 3 & ntt west kumamoto & 10394 & 1378 & 324 & 693 & none \\
3 & 4 & ehime fc & 9896 & 1250 & 348 & 660 & none \\
4 & 5 & tochigi sc & 9723 & 1141 & 285 & 648 & -38.2% \\
5 & 6 & otsuka pharmaceuticals & 8975 & 2391 & 284 & 598 & +18.4% \\
6 & 7 & ykk fc & 8093 & 2477 & 198 & 540 & none \\
7 & 8 & sony sendai & 7817 & 886 & 342 & 521 & -52.3% \\
8 & 9 & yokogawa fc & 7334 & 1198 & 240 & 489 & -30.4% \\
9 & 10 & alo's hokuriku & 6380 & 1801 & 180 & 425 & -12.1% \\
10 & 11 & jatco fc & 6329 & 1075 & 167 & 422 & -36.7% \\
11 & 12 & sagawa express & 5365 & 1054 & 48 & 358 & none \\
12 & 13 & denso sc & 5344 & 831 & 119 & 356 & -17.7% \\
13 & 14 & kyoken kyoto & 5262 & 468 & 203 & 351 & -9.0% \\
14 & 15 & shizuoka sangyo university & 4013 & 803 & 101 & 268 & -48.8% \\
15 & 16 & kokushikan university & 3298 & 414 & 54 & 220 & -28.3% \\
16 & none & league total & 123682 & 3305 & 48 & 515 & -42.8% \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where change = '+18.4%' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>team</th>
<th>total</th>
<th>high</th>
<th>low</th>
<th>average</th>
<th>change</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>honda motor</td>
<td>13178</td>
<td>3305</td>
<td>402</td>
<td>879</td>
<td>-11.9%</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>sc tottori</td>
<td>12281</td>
<td>2124</td>
<td>401</td>
<td>819</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>ntt west kumamoto</td>
<td>10394</td>
<td>1378</td>
<td>324</td>
<td>693</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>ehime fc</td>
<td>9896</td>
<td>1250</td>
<td>348</td>
<td>660</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>tochigi sc</td>
<td>9723</td>
<td>1141</td>
<td>285</td>
<td>648</td>
<td>-38.2%</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>otsuka pharmaceuticals</td>
<td>8975</td>
<td>2391</td>
<td>284</td>
<td>598</td>
<td>+18.4%</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>ykk fc</td>
<td>8093</td>
<td>2477</td>
<td>198</td>
<td>540</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>sony sendai</td>
<td>7817</td>
<td>886</td>
<td>342</td>
<td>521</td>
<td>-52.3%</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>yokogawa fc</td>
<td>7334</td>
<td>1198</td>
<td>240</td>
<td>489</td>
<td>-30.4%</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>alo's hokuriku</td>
<td>6380</td>
<td>1801</td>
<td>180</td>
<td>425</td>
<td>-12.1%</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>jatco fc</td>
<td>6329</td>
<td>1075</td>
<td>167</td>
<td>422</td>
<td>-36.7%</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>sagawa express</td>
<td>5365</td>
<td>1054</td>
<td>48</td>
<td>358</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>denso sc</td>
<td>5344</td>
<td>831</td>
<td>119</td>
<td>356</td>
<td>-17.7%</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>kyoken kyoto</td>
<td>5262</td>
<td>468</td>
<td>203</td>
<td>351</td>
<td>-9.0%</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>shizuoka sangyo university</td>
<td>4013</td>
<td>803</td>
<td>101</td>
<td>268</td>
<td>-48.8%</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>kokushikan university</td>
<td>3298</td>
<td>414</td>
<td>54</td>
<td>220</td>
<td>-28.3%</td>
</tr>
<tr>
<th>16</th>
<td>none</td>
<td>league total</td>
<td>123682</td>
<td>3305</td>
<td>48</td>
<td>515</td>
<td>-42.8%</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where change = '+18.4%' <table_name> : table | | pos | team | total | high | low | average | change |
|---:|:------|:---------------------------|--------:|-------:|------:|----------:|:---------|
| 0 | 1 | honda motor | 13178 | 3305 | 402 | 879 | -11.9% |
| 1 | 2 | sc tottori | 12281 | 2124 | 401 | 819 | none |
| 2 | 3 | ntt west kumamoto | 10394 | 1378 | 324 | 693 | none |
| 3 | 4 | ehime fc | 9896 | 1250 | 348 | 660 | none |
| 4 | 5 | tochigi sc | 9723 | 1141 | 285 | 648 | -38.2% |
| 5 | 6 | otsuka pharmaceuticals | 8975 | 2391 | 284 | 598 | +18.4% |
| 6 | 7 | ykk fc | 8093 | 2477 | 198 | 540 | none |
| 7 | 8 | sony sendai | 7817 | 886 | 342 | 521 | -52.3% |
| 8 | 9 | yokogawa fc | 7334 | 1198 | 240 | 489 | -30.4% |
| 9 | 10 | alo's hokuriku | 6380 | 1801 | 180 | 425 | -12.1% |
| 10 | 11 | jatco fc | 6329 | 1075 | 167 | 422 | -36.7% |
| 11 | 12 | sagawa express | 5365 | 1054 | 48 | 358 | none |
| 12 | 13 | denso sc | 5344 | 831 | 119 | 356 | -17.7% |
| 13 | 14 | kyoken kyoto | 5262 | 468 | 203 | 351 | -9.0% |
| 14 | 15 | shizuoka sangyo university | 4013 | 803 | 101 | 268 | -48.8% |
| 15 | 16 | kokushikan university | 3298 | 414 | 54 | 220 | -28.3% |
| 16 | none | league total | 123682 | 3305 | 48 | 515 | -42.8% | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( * ) where label = 'dvd: warner cat: 5050467-0944-2-0' col : year | cast (nabucco, abigaille, zaccaria, ismaele, fenena) | conductor, opera house and orchestra | label row 1 : 1951 | paolo silveri, caterina mancini, antonio cassinelli, mario binci, gabriella gatti | fernando previtali, orchestra sinfonica e coro di roma della rai | audio cd: warner fonit 8573 82646-2 row 2 : 1965 | tito gobbi, elena souliotis, carlo cava, bruno prevedi, dora caral | lamberto gardelli, vienna state opera orchestra and chorus | audio cd: decca cat: 417 407-2 row 3 : 1977-78 | matteo manuguerra, renata scotto, nicolai ghiaurov, veriano luchetti, elena obraztsova | riccardo muti, philharmonia orchestra and the ambrosian opera chorus | audio cd: emi records cat: 747 488-2 row 4 : 1982 | piero cappuccilli, ghena dimitrova, evgeny nesterenko, placido domingo, lucia valentini terrani | giuseppe sinopoli, deutsche oper berlin | audio cd: dg cat: dg 410 512-2 row 5 : 1987 | renato bruson, ghena dimitrova, paata burchuladze, bruno beccaria, raquel pierotti | riccardo muti, la scala, milan orchestra and chorus | dvd: warner cat: 5050467-0944-2-0 row 6 : 2002 | juan pons, maria guleghina, samuel ramey, gwyn hughes jones, wendy white | james levine, metropolitan opera | dvd: dg, live recording cat: b0006o9m6s row 7 : 2004 | alberto gazzale, susan neves, orlin anastassov, yasuharu nakajiima, annamaria popescu | riccardo frizza, teatro carlo felice orchestra and chorus | dvd: dynamic, live recording cat: 33465 row 8 : 2004 | renato bruson, maurizio frusoni, lauren flanigan, carlo colombara, monica bacelli | paolo carignani, teatro san carlo naples orchestra and chorus | dvd: brilliant classics, live recording cat: 92270 row 9 : 2007 | leo nucci, maria guleghina, carlo colombara, fabio sartori, nino surguladze | daniel oren, arena di verona orchestra and chorus | dvd: decca, live recording cat: ddd 0440 074 3245 7 dh | col : count ( "*" ) row 1 : 1 | select count ( * ) where label = 'dvd: warner cat: 5050467-0944-2-0' <table_name> : table \begin{tabular}{lllll}
\toprule
& year & cast (nabucco, abigaille, zaccaria, ismaele, fenena) & conductor, opera house and orchestra & label \\
\midrule
0 & 1951 & paolo silveri, caterina mancini, antonio cassinelli, mario binci, gabriella gatti & fernando previtali, orchestra sinfonica e coro di roma della rai & audio cd: warner fonit 8573 82646-2 \\
1 & 1965 & tito gobbi, elena souliotis, carlo cava, bruno prevedi, dora caral & lamberto gardelli, vienna state opera orchestra and chorus & audio cd: decca cat: 417 407-2 \\
2 & 1977-78 & matteo manuguerra, renata scotto, nicolai ghiaurov, veriano luchetti, elena obraztsova & riccardo muti, philharmonia orchestra and the ambrosian opera chorus & audio cd: emi records cat: 747 488-2 \\
3 & 1982 & piero cappuccilli, ghena dimitrova, evgeny nesterenko, placido domingo, lucia valentini terrani & giuseppe sinopoli, deutsche oper berlin & audio cd: dg cat: dg 410 512-2 \\
4 & 1987 & renato bruson, ghena dimitrova, paata burchuladze, bruno beccaria, raquel pierotti & riccardo muti, la scala, milan orchestra and chorus & dvd: warner cat: 5050467-0944-2-0 \\
5 & 2002 & juan pons, maria guleghina, samuel ramey, gwyn hughes jones, wendy white & james levine, metropolitan opera & dvd: dg, live recording cat: b0006o9m6s \\
6 & 2004 & alberto gazzale, susan neves, orlin anastassov, yasuharu nakajiima, annamaria popescu & riccardo frizza, teatro carlo felice orchestra and chorus & dvd: dynamic, live recording cat: 33465 \\
7 & 2004 & renato bruson, maurizio frusoni, lauren flanigan, carlo colombara, monica bacelli & paolo carignani, teatro san carlo naples orchestra and chorus & dvd: brilliant classics, live recording cat: 92270 \\
8 & 2007 & leo nucci, maria guleghina, carlo colombara, fabio sartori, nino surguladze & daniel oren, arena di verona orchestra and chorus & dvd: decca, live recording cat: ddd 0440 074 3245 7 dh \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where label = 'dvd: warner cat: 5050467-0944-2-0' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>cast (nabucco, abigaille, zaccaria, ismaele, fenena)</th>
<th>conductor, opera house and orchestra</th>
<th>label</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1951</td>
<td>paolo silveri, caterina mancini, antonio cassinelli, mario binci, gabriella gatti</td>
<td>fernando previtali, orchestra sinfonica e coro di roma della rai</td>
<td>audio cd: warner fonit 8573 82646-2</td>
</tr>
<tr>
<th>1</th>
<td>1965</td>
<td>tito gobbi, elena souliotis, carlo cava, bruno prevedi, dora caral</td>
<td>lamberto gardelli, vienna state opera orchestra and chorus</td>
<td>audio cd: decca cat: 417 407-2</td>
</tr>
<tr>
<th>2</th>
<td>1977-78</td>
<td>matteo manuguerra, renata scotto, nicolai ghiaurov, veriano luchetti, elena obraztsova</td>
<td>riccardo muti, philharmonia orchestra and the ambrosian opera chorus</td>
<td>audio cd: emi records cat: 747 488-2</td>
</tr>
<tr>
<th>3</th>
<td>1982</td>
<td>piero cappuccilli, ghena dimitrova, evgeny nesterenko, placido domingo, lucia valentini terrani</td>
<td>giuseppe sinopoli, deutsche oper berlin</td>
<td>audio cd: dg cat: dg 410 512-2</td>
</tr>
<tr>
<th>4</th>
<td>1987</td>
<td>renato bruson, ghena dimitrova, paata burchuladze, bruno beccaria, raquel pierotti</td>
<td>riccardo muti, la scala, milan orchestra and chorus</td>
<td>dvd: warner cat: 5050467-0944-2-0</td>
</tr>
<tr>
<th>5</th>
<td>2002</td>
<td>juan pons, maria guleghina, samuel ramey, gwyn hughes jones, wendy white</td>
<td>james levine, metropolitan opera</td>
<td>dvd: dg, live recording cat: b0006o9m6s</td>
</tr>
<tr>
<th>6</th>
<td>2004</td>
<td>alberto gazzale, susan neves, orlin anastassov, yasuharu nakajiima, annamaria popescu</td>
<td>riccardo frizza, teatro carlo felice orchestra and chorus</td>
<td>dvd: dynamic, live recording cat: 33465</td>
</tr>
<tr>
<th>7</th>
<td>2004</td>
<td>renato bruson, maurizio frusoni, lauren flanigan, carlo colombara, monica bacelli</td>
<td>paolo carignani, teatro san carlo naples orchestra and chorus</td>
<td>dvd: brilliant classics, live recording cat: 92270</td>
</tr>
<tr>
<th>8</th>
<td>2007</td>
<td>leo nucci, maria guleghina, carlo colombara, fabio sartori, nino surguladze</td>
<td>daniel oren, arena di verona orchestra and chorus</td>
<td>dvd: decca, live recording cat: ddd 0440 074 3245 7 dh</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where label = 'dvd: warner cat: 5050467-0944-2-0' <table_name> : table | | year | cast (nabucco, abigaille, zaccaria, ismaele, fenena) | conductor, opera house and orchestra | label |
|---:|:--------|:------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------|:-------------------------------------------------------|
| 0 | 1951 | paolo silveri, caterina mancini, antonio cassinelli, mario binci, gabriella gatti | fernando previtali, orchestra sinfonica e coro di roma della rai | audio cd: warner fonit 8573 82646-2 |
| 1 | 1965 | tito gobbi, elena souliotis, carlo cava, bruno prevedi, dora caral | lamberto gardelli, vienna state opera orchestra and chorus | audio cd: decca cat: 417 407-2 |
| 2 | 1977-78 | matteo manuguerra, renata scotto, nicolai ghiaurov, veriano luchetti, elena obraztsova | riccardo muti, philharmonia orchestra and the ambrosian opera chorus | audio cd: emi records cat: 747 488-2 |
| 3 | 1982 | piero cappuccilli, ghena dimitrova, evgeny nesterenko, placido domingo, lucia valentini terrani | giuseppe sinopoli, deutsche oper berlin | audio cd: dg cat: dg 410 512-2 |
| 4 | 1987 | renato bruson, ghena dimitrova, paata burchuladze, bruno beccaria, raquel pierotti | riccardo muti, la scala, milan orchestra and chorus | dvd: warner cat: 5050467-0944-2-0 |
| 5 | 2002 | juan pons, maria guleghina, samuel ramey, gwyn hughes jones, wendy white | james levine, metropolitan opera | dvd: dg, live recording cat: b0006o9m6s |
| 6 | 2004 | alberto gazzale, susan neves, orlin anastassov, yasuharu nakajiima, annamaria popescu | riccardo frizza, teatro carlo felice orchestra and chorus | dvd: dynamic, live recording cat: 33465 |
| 7 | 2004 | renato bruson, maurizio frusoni, lauren flanigan, carlo colombara, monica bacelli | paolo carignani, teatro san carlo naples orchestra and chorus | dvd: brilliant classics, live recording cat: 92270 |
| 8 | 2007 | leo nucci, maria guleghina, carlo colombara, fabio sartori, nino surguladze | daniel oren, arena di verona orchestra and chorus | dvd: decca, live recording cat: ddd 0440 074 3245 7 dh | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( * ) where language = 'ukrainian' col : language | number | percentage (%) | males | females row 1 : polish | 447685 | 80.86 | 216794 | 230891 row 2 : yiddish | 51215 | 9.25 | 24538 | 26677 row 3 : german | 35931 | 6.49 | 17409 | 18522 row 4 : russian | 15137 | 2.73 | 13551 | 1586 row 5 : ukrainian | 2350 | 0.42 | 2302 | 48 row 6 : other | 1285 | 0.23 | 1041 | 244 row 7 : persons that didn't name their native language | 27 | >0.01 | 14 | 13 row 8 : total | 553633 | 100 | 275652 | 277981 | col : count ( "*" ) row 1 : 1 | select count ( * ) where language = 'ukrainian' <table_name> : table \begin{tabular}{llllll}
\toprule
& language & number & percentage (%) & males & females \\
\midrule
0 & polish & 447685 & 80.86 & 216794 & 230891 \\
1 & yiddish & 51215 & 9.25 & 24538 & 26677 \\
2 & german & 35931 & 6.49 & 17409 & 18522 \\
3 & russian & 15137 & 2.73 & 13551 & 1586 \\
4 & ukrainian & 2350 & 0.42 & 2302 & 48 \\
5 & other & 1285 & 0.23 & 1041 & 244 \\
6 & persons that didn't name their native language & 27 & >0.01 & 14 & 13 \\
7 & total & 553633 & 100 & 275652 & 277981 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where language = 'ukrainian' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>language</th>
<th>number</th>
<th>percentage (%)</th>
<th>males</th>
<th>females</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>polish</td>
<td>447685</td>
<td>80.86</td>
<td>216794</td>
<td>230891</td>
</tr>
<tr>
<th>1</th>
<td>yiddish</td>
<td>51215</td>
<td>9.25</td>
<td>24538</td>
<td>26677</td>
</tr>
<tr>
<th>2</th>
<td>german</td>
<td>35931</td>
<td>6.49</td>
<td>17409</td>
<td>18522</td>
</tr>
<tr>
<th>3</th>
<td>russian</td>
<td>15137</td>
<td>2.73</td>
<td>13551</td>
<td>1586</td>
</tr>
<tr>
<th>4</th>
<td>ukrainian</td>
<td>2350</td>
<td>0.42</td>
<td>2302</td>
<td>48</td>
</tr>
<tr>
<th>5</th>
<td>other</td>
<td>1285</td>
<td>0.23</td>
<td>1041</td>
<td>244</td>
</tr>
<tr>
<th>6</th>
<td>persons that didn't name their native language</td>
<td>27</td>
<td>>0.01</td>
<td>14</td>
<td>13</td>
</tr>
<tr>
<th>7</th>
<td>total</td>
<td>553633</td>
<td>100</td>
<td>275652</td>
<td>277981</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where language = 'ukrainian' <table_name> : table | | language | number | percentage (%) | males | females |
|---:|:-----------------------------------------------|---------:|:-----------------|--------:|----------:|
| 0 | polish | 447685 | 80.86 | 216794 | 230891 |
| 1 | yiddish | 51215 | 9.25 | 24538 | 26677 |
| 2 | german | 35931 | 6.49 | 17409 | 18522 |
| 3 | russian | 15137 | 2.73 | 13551 | 1586 |
| 4 | ukrainian | 2350 | 0.42 | 2302 | 48 |
| 5 | other | 1285 | 0.23 | 1041 | 244 |
| 6 | persons that didn't name their native language | 27 | >0.01 | 14 | 13 |
| 7 | total | 553633 | 100 | 275652 | 277981 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( distinct party ) where party = 'republican' col : party | active voters | inactive voters | total voters | percentage row 1 : democratic | 3683 | 251 | 3934 | 36.93% row 2 : republican | 1322 | 78 | 1400 | 13.14% row 3 : unaffiliated | 4709 | 606 | 5315 | 49.90% row 4 : minor parties | 3 | 0 | 3 | 0.03% row 5 : total | 9717 | 935 | 10652 | 100% | col : count ( "distinct party" ) row 1 : 1 | select count ( distinct party ) where party = 'republican' <table_name> : table \begin{tabular}{llllll}
\toprule
& party & active voters & inactive voters & total voters & percentage \\
\midrule
0 & democratic & 3683 & 251 & 3934 & 36.93% \\
1 & republican & 1322 & 78 & 1400 & 13.14% \\
2 & unaffiliated & 4709 & 606 & 5315 & 49.90% \\
3 & minor parties & 3 & 0 & 3 & 0.03% \\
4 & total & 9717 & 935 & 10652 & 100% \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "distinct party" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( distinct party ) where party = 'republican' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>party</th>
<th>active voters</th>
<th>inactive voters</th>
<th>total voters</th>
<th>percentage</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>democratic</td>
<td>3683</td>
<td>251</td>
<td>3934</td>
<td>36.93%</td>
</tr>
<tr>
<th>1</th>
<td>republican</td>
<td>1322</td>
<td>78</td>
<td>1400</td>
<td>13.14%</td>
</tr>
<tr>
<th>2</th>
<td>unaffiliated</td>
<td>4709</td>
<td>606</td>
<td>5315</td>
<td>49.90%</td>
</tr>
<tr>
<th>3</th>
<td>minor parties</td>
<td>3</td>
<td>0</td>
<td>3</td>
<td>0.03%</td>
</tr>
<tr>
<th>4</th>
<td>total</td>
<td>9717</td>
<td>935</td>
<td>10652</td>
<td>100%</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "distinct party" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( distinct party ) where party = 'republican' <table_name> : table | | party | active voters | inactive voters | total voters | percentage |
|---:|:--------------|----------------:|------------------:|---------------:|:-------------|
| 0 | democratic | 3683 | 251 | 3934 | 36.93% |
| 1 | republican | 1322 | 78 | 1400 | 13.14% |
| 2 | unaffiliated | 4709 | 606 | 5315 | 49.90% |
| 3 | minor parties | 3 | 0 | 3 | 0.03% |
| 4 | total | 9717 | 935 | 10652 | 100% | | | | count ( "distinct party" ) |
|---:|-----------------------------:|
| 0 | 1 | | [
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select remarks where series = 'jacques le gall' group by remarks order by count ( * ) desc limit 1 col : series | years | volumes | writer | editor | remarks row 1 : bruno brazil | 1973-1977 | 5 | greg | magic-strip | william vance drew the comics, follet provided the page lay-out row 2 : ivan zourine | 1979 | 2 | jacques stoquart | magic-strip | none row 3 : steve severin | 1981-2003 | 9 | jacques stoquart and yvan delporte | glenat | 3 in french - 6 additional in dutch row 4 : l'iliade | 1982 | 1 | jacques stoquart | glenat | adapted from the ilias by homer row 5 : jacques le gall | 1984-1985 | 2 | jean-michel charlier | dupuis | a collaboration with mitacq row 6 : valhardi | 1984-1986 | 2 | jacques stoquart and andre-paul duchateau | dupuis | continuation of the series after jije and eddy paape row 7 : alain brisant | 1985 | 1 | maurice tillieux | dupuis | none row 8 : edmund bell | 1987-1990 | 4 | jacques stoquart and martin lodewijk | cl. lefrancq | based on the stories by john flanders (jean ray) row 9 : daddy | 1991-92 | 2 | loup durand | cl. lefrancq | none row 10 : bob morane | 1991-2000 | 3 | henri vernes | nautilus and claude lefrancq | follet drew one story in 2000, and made the cover art for two others (drawn by gerald forton) row 11 : harricana | 1992 | 1 | jean-claude de la royere | claude lefrancq | drawn by denis merezette, follet did the page lay-out row 12 : marshall blueberry | 1994 | 1 | jean giraud | alpen | drawn by william vance, follet did the page lay-out row 13 : ikar | 1995-1997 | 2 | pierre makyo | glenat | none row 14 : les autos de l'aventure | 1996-1998 | 2 | de la royere | citroen | promotional comics row 15 : terreur | 2002-2004 | 2 | andre-paul duchateau | le lombard | fictional biography of madame tussaud row 16 : les zingari | 2004-2005 | 2 | yvan delporte | hibou | none row 17 : shelena | 2005 | 1 | jeromine pasteur | casterman | none row 18 : l'etoile du soldat | 2007 | 1 | christophe de ponfilly | casterman | announced (28 august 2007) row 19 : l'affaire dominici | 2010 | 1 | pascal bresson | glenat | none | col : remarks row 1 : a collaboration with mitacq | select remarks where series = 'jacques le gall' group by remarks order by count ( * ) desc limit 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& series & years & volumes & writer & editor & remarks \\
\midrule
0 & bruno brazil & 1973-1977 & 5 & greg & magic-strip & william vance drew the comics, follet provided the page lay-out \\
1 & ivan zourine & 1979 & 2 & jacques stoquart & magic-strip & none \\
2 & steve severin & 1981-2003 & 9 & jacques stoquart and yvan delporte & glenat & 3 in french - 6 additional in dutch \\
3 & l'iliade & 1982 & 1 & jacques stoquart & glenat & adapted from the ilias by homer \\
4 & jacques le gall & 1984-1985 & 2 & jean-michel charlier & dupuis & a collaboration with mitacq \\
5 & valhardi & 1984-1986 & 2 & jacques stoquart and andre-paul duchateau & dupuis & continuation of the series after jije and eddy paape \\
6 & alain brisant & 1985 & 1 & maurice tillieux & dupuis & none \\
7 & edmund bell & 1987-1990 & 4 & jacques stoquart and martin lodewijk & cl. lefrancq & based on the stories by john flanders (jean ray) \\
8 & daddy & 1991-92 & 2 & loup durand & cl. lefrancq & none \\
9 & bob morane & 1991-2000 & 3 & henri vernes & nautilus and claude lefrancq & follet drew one story in 2000, and made the cover art for two others (drawn by gerald forton) \\
10 & harricana & 1992 & 1 & jean-claude de la royere & claude lefrancq & drawn by denis merezette, follet did the page lay-out \\
11 & marshall blueberry & 1994 & 1 & jean giraud & alpen & drawn by william vance, follet did the page lay-out \\
12 & ikar & 1995-1997 & 2 & pierre makyo & glenat & none \\
13 & les autos de l'aventure & 1996-1998 & 2 & de la royere & citroen & promotional comics \\
14 & terreur & 2002-2004 & 2 & andre-paul duchateau & le lombard & fictional biography of madame tussaud \\
15 & les zingari & 2004-2005 & 2 & yvan delporte & hibou & none \\
16 & shelena & 2005 & 1 & jeromine pasteur & casterman & none \\
17 & l'etoile du soldat & 2007 & 1 & christophe de ponfilly & casterman & announced (28 august 2007) \\
18 & l'affaire dominici & 2010 & 1 & pascal bresson & glenat & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& remarks \\
\midrule
0 & a collaboration with mitacq \\
\bottomrule
\end{tabular}
| select remarks where series = 'jacques le gall' group by remarks order by count ( * ) desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>series</th>
<th>years</th>
<th>volumes</th>
<th>writer</th>
<th>editor</th>
<th>remarks</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>bruno brazil</td>
<td>1973-1977</td>
<td>5</td>
<td>greg</td>
<td>magic-strip</td>
<td>william vance drew the comics, follet provided the page lay-out</td>
</tr>
<tr>
<th>1</th>
<td>ivan zourine</td>
<td>1979</td>
<td>2</td>
<td>jacques stoquart</td>
<td>magic-strip</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>steve severin</td>
<td>1981-2003</td>
<td>9</td>
<td>jacques stoquart and yvan delporte</td>
<td>glenat</td>
<td>3 in french - 6 additional in dutch</td>
</tr>
<tr>
<th>3</th>
<td>l'iliade</td>
<td>1982</td>
<td>1</td>
<td>jacques stoquart</td>
<td>glenat</td>
<td>adapted from the ilias by homer</td>
</tr>
<tr>
<th>4</th>
<td>jacques le gall</td>
<td>1984-1985</td>
<td>2</td>
<td>jean-michel charlier</td>
<td>dupuis</td>
<td>a collaboration with mitacq</td>
</tr>
<tr>
<th>5</th>
<td>valhardi</td>
<td>1984-1986</td>
<td>2</td>
<td>jacques stoquart and andre-paul duchateau</td>
<td>dupuis</td>
<td>continuation of the series after jije and eddy paape</td>
</tr>
<tr>
<th>6</th>
<td>alain brisant</td>
<td>1985</td>
<td>1</td>
<td>maurice tillieux</td>
<td>dupuis</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>edmund bell</td>
<td>1987-1990</td>
<td>4</td>
<td>jacques stoquart and martin lodewijk</td>
<td>cl. lefrancq</td>
<td>based on the stories by john flanders (jean ray)</td>
</tr>
<tr>
<th>8</th>
<td>daddy</td>
<td>1991-92</td>
<td>2</td>
<td>loup durand</td>
<td>cl. lefrancq</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>bob morane</td>
<td>1991-2000</td>
<td>3</td>
<td>henri vernes</td>
<td>nautilus and claude lefrancq</td>
<td>follet drew one story in 2000, and made the cover art for two others (drawn by gerald forton)</td>
</tr>
<tr>
<th>10</th>
<td>harricana</td>
<td>1992</td>
<td>1</td>
<td>jean-claude de la royere</td>
<td>claude lefrancq</td>
<td>drawn by denis merezette, follet did the page lay-out</td>
</tr>
<tr>
<th>11</th>
<td>marshall blueberry</td>
<td>1994</td>
<td>1</td>
<td>jean giraud</td>
<td>alpen</td>
<td>drawn by william vance, follet did the page lay-out</td>
</tr>
<tr>
<th>12</th>
<td>ikar</td>
<td>1995-1997</td>
<td>2</td>
<td>pierre makyo</td>
<td>glenat</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>les autos de l'aventure</td>
<td>1996-1998</td>
<td>2</td>
<td>de la royere</td>
<td>citroen</td>
<td>promotional comics</td>
</tr>
<tr>
<th>14</th>
<td>terreur</td>
<td>2002-2004</td>
<td>2</td>
<td>andre-paul duchateau</td>
<td>le lombard</td>
<td>fictional biography of madame tussaud</td>
</tr>
<tr>
<th>15</th>
<td>les zingari</td>
<td>2004-2005</td>
<td>2</td>
<td>yvan delporte</td>
<td>hibou</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>shelena</td>
<td>2005</td>
<td>1</td>
<td>jeromine pasteur</td>
<td>casterman</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>l'etoile du soldat</td>
<td>2007</td>
<td>1</td>
<td>christophe de ponfilly</td>
<td>casterman</td>
<td>announced (28 august 2007)</td>
</tr>
<tr>
<th>18</th>
<td>l'affaire dominici</td>
<td>2010</td>
<td>1</td>
<td>pascal bresson</td>
<td>glenat</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>remarks</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>a collaboration with mitacq</td>
</tr>
</tbody>
</table> | select remarks where series = 'jacques le gall' group by remarks order by count ( * ) desc limit 1 <table_name> : table | | series | years | volumes | writer | editor | remarks |
|---:|:------------------------|:----------|----------:|:------------------------------------------|:-----------------------------|:----------------------------------------------------------------------------------------------|
| 0 | bruno brazil | 1973-1977 | 5 | greg | magic-strip | william vance drew the comics, follet provided the page lay-out |
| 1 | ivan zourine | 1979 | 2 | jacques stoquart | magic-strip | none |
| 2 | steve severin | 1981-2003 | 9 | jacques stoquart and yvan delporte | glenat | 3 in french - 6 additional in dutch |
| 3 | l'iliade | 1982 | 1 | jacques stoquart | glenat | adapted from the ilias by homer |
| 4 | jacques le gall | 1984-1985 | 2 | jean-michel charlier | dupuis | a collaboration with mitacq |
| 5 | valhardi | 1984-1986 | 2 | jacques stoquart and andre-paul duchateau | dupuis | continuation of the series after jije and eddy paape |
| 6 | alain brisant | 1985 | 1 | maurice tillieux | dupuis | none |
| 7 | edmund bell | 1987-1990 | 4 | jacques stoquart and martin lodewijk | cl. lefrancq | based on the stories by john flanders (jean ray) |
| 8 | daddy | 1991-92 | 2 | loup durand | cl. lefrancq | none |
| 9 | bob morane | 1991-2000 | 3 | henri vernes | nautilus and claude lefrancq | follet drew one story in 2000, and made the cover art for two others (drawn by gerald forton) |
| 10 | harricana | 1992 | 1 | jean-claude de la royere | claude lefrancq | drawn by denis merezette, follet did the page lay-out |
| 11 | marshall blueberry | 1994 | 1 | jean giraud | alpen | drawn by william vance, follet did the page lay-out |
| 12 | ikar | 1995-1997 | 2 | pierre makyo | glenat | none |
| 13 | les autos de l'aventure | 1996-1998 | 2 | de la royere | citroen | promotional comics |
| 14 | terreur | 2002-2004 | 2 | andre-paul duchateau | le lombard | fictional biography of madame tussaud |
| 15 | les zingari | 2004-2005 | 2 | yvan delporte | hibou | none |
| 16 | shelena | 2005 | 1 | jeromine pasteur | casterman | none |
| 17 | l'etoile du soldat | 2007 | 1 | christophe de ponfilly | casterman | announced (28 august 2007) |
| 18 | l'affaire dominici | 2010 | 1 | pascal bresson | glenat | none | | | | remarks |
|---:|:----------------------------|
| 0 | a collaboration with mitacq | | [
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select bye where record = '6-5' order by bye desc limit 1 col : week | date | opponent | result | record | game site | tv time | attendance | bye row 1 : 1 | september 1, 1996 | arizona cardinals | w 20-13 | 1-0 | rca dome | fox 1:00 pm | 48133 | 0 row 2 : 2 | september 8, 1996 | at new york jets | w 21-7 | 2-0 | the meadowlands | nbc 4:15 pm | 63534 | 0 row 3 : 3 | september 15, 1996 | at dallas cowboys | w 25-24 | 3-0 | texas stadium | nbc 4:15 pm | 63021 | 0 row 4 : 4 | september 23, 1996 | miami dolphins | w 10-6 | 4-0 | rca dome | abc 9:00 pm | 60891 | 0 row 5 : 5 | none | none | none | none | none | none | none | 1 row 6 : 6 | october 6, 1996 | at buffalo bills | l 13-16 | 4-1 | rich stadium | nbc 4:15 pm | 79401 | 0 row 7 : 7 | october 13, 1996 | baltimore ravens | w 26-21 | 5-1 | rca dome | tnt 8:15 pm | 56978 | 0 row 8 : 8 | october 20, 1996 | new england patriots | l 9-27 | 5-2 | rca dome | nbc 1:00 pm | 58725 | 0 row 9 : 9 | october 27, 1996 | at washington redskins | l 16-31 | 5-3 | rfk stadium | nbc 1:00 pm | 54254 | 0 row 10 : 10 | november 3, 1996 | san diego chargers | l 19-26 | 5-4 | rca dome | nbc 1:00 pm | 58484 | 0 row 11 : 11 | november 10, 1996 | at miami dolphins | l 13-37 | 5-5 | joe robbie stadium | nbc 1:00 pm | 66623 | 0 row 12 : 12 | november 17, 1996 | new york jets | w 34-29 | 6-5 | rca dome | nbc 1:00 pm | 48322 | 0 row 13 : 13 | november 24, 1996 | at new england patriots | l 13-27 | 6-6 | foxboro stadium | nbc 1:00 pm | 58226 | 0 row 14 : 14 | december 1, 1996 | buffalo bills | w 13-10 | 7-6 | rca dome | nbc 4:15 pm | 53804 | 0 row 15 : 15 | december 5, 1996 | philadelphia eagles | w 37-10 | 8-6 | rca dome | espn 8:15 pm | 52689 | 0 row 16 : 16 | december 15, 1996 | at kansas city chiefs | w 24-19 | 9-6 | arrowhead stadium | nbc 4:15 pm | 71136 | 0 row 17 : 17 | december 22, 1996 | at cincinnati bengals | l 24-31 | 9-7 | cinergy field | nbc 1:00 pm | 49389 | 0 | col : bye row 1 : 0 | select bye where record = '6-5' order by bye desc limit 1 <table_name> : table \begin{tabular}{llllllllll}
\toprule
& week & date & opponent & result & record & game site & tv time & attendance & bye \\
\midrule
0 & 1 & september 1, 1996 & arizona cardinals & w 20-13 & 1-0 & rca dome & fox 1:00 pm & 48133 & 0 \\
1 & 2 & september 8, 1996 & at new york jets & w 21-7 & 2-0 & the meadowlands & nbc 4:15 pm & 63534 & 0 \\
2 & 3 & september 15, 1996 & at dallas cowboys & w 25-24 & 3-0 & texas stadium & nbc 4:15 pm & 63021 & 0 \\
3 & 4 & september 23, 1996 & miami dolphins & w 10-6 & 4-0 & rca dome & abc 9:00 pm & 60891 & 0 \\
4 & 5 & none & none & none & none & none & none & none & 1 \\
5 & 6 & october 6, 1996 & at buffalo bills & l 13-16 & 4-1 & rich stadium & nbc 4:15 pm & 79401 & 0 \\
6 & 7 & october 13, 1996 & baltimore ravens & w 26-21 & 5-1 & rca dome & tnt 8:15 pm & 56978 & 0 \\
7 & 8 & october 20, 1996 & new england patriots & l 9-27 & 5-2 & rca dome & nbc 1:00 pm & 58725 & 0 \\
8 & 9 & october 27, 1996 & at washington redskins & l 16-31 & 5-3 & rfk stadium & nbc 1:00 pm & 54254 & 0 \\
9 & 10 & november 3, 1996 & san diego chargers & l 19-26 & 5-4 & rca dome & nbc 1:00 pm & 58484 & 0 \\
10 & 11 & november 10, 1996 & at miami dolphins & l 13-37 & 5-5 & joe robbie stadium & nbc 1:00 pm & 66623 & 0 \\
11 & 12 & november 17, 1996 & new york jets & w 34-29 & 6-5 & rca dome & nbc 1:00 pm & 48322 & 0 \\
12 & 13 & november 24, 1996 & at new england patriots & l 13-27 & 6-6 & foxboro stadium & nbc 1:00 pm & 58226 & 0 \\
13 & 14 & december 1, 1996 & buffalo bills & w 13-10 & 7-6 & rca dome & nbc 4:15 pm & 53804 & 0 \\
14 & 15 & december 5, 1996 & philadelphia eagles & w 37-10 & 8-6 & rca dome & espn 8:15 pm & 52689 & 0 \\
15 & 16 & december 15, 1996 & at kansas city chiefs & w 24-19 & 9-6 & arrowhead stadium & nbc 4:15 pm & 71136 & 0 \\
16 & 17 & december 22, 1996 & at cincinnati bengals & l 24-31 & 9-7 & cinergy field & nbc 1:00 pm & 49389 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& bye \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select bye where record = '6-5' order by bye desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>opponent</th>
<th>result</th>
<th>record</th>
<th>game site</th>
<th>tv time</th>
<th>attendance</th>
<th>bye</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>september 1, 1996</td>
<td>arizona cardinals</td>
<td>w 20-13</td>
<td>1-0</td>
<td>rca dome</td>
<td>fox 1:00 pm</td>
<td>48133</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>september 8, 1996</td>
<td>at new york jets</td>
<td>w 21-7</td>
<td>2-0</td>
<td>the meadowlands</td>
<td>nbc 4:15 pm</td>
<td>63534</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>september 15, 1996</td>
<td>at dallas cowboys</td>
<td>w 25-24</td>
<td>3-0</td>
<td>texas stadium</td>
<td>nbc 4:15 pm</td>
<td>63021</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>september 23, 1996</td>
<td>miami dolphins</td>
<td>w 10-6</td>
<td>4-0</td>
<td>rca dome</td>
<td>abc 9:00 pm</td>
<td>60891</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>1</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>october 6, 1996</td>
<td>at buffalo bills</td>
<td>l 13-16</td>
<td>4-1</td>
<td>rich stadium</td>
<td>nbc 4:15 pm</td>
<td>79401</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>october 13, 1996</td>
<td>baltimore ravens</td>
<td>w 26-21</td>
<td>5-1</td>
<td>rca dome</td>
<td>tnt 8:15 pm</td>
<td>56978</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>october 20, 1996</td>
<td>new england patriots</td>
<td>l 9-27</td>
<td>5-2</td>
<td>rca dome</td>
<td>nbc 1:00 pm</td>
<td>58725</td>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>october 27, 1996</td>
<td>at washington redskins</td>
<td>l 16-31</td>
<td>5-3</td>
<td>rfk stadium</td>
<td>nbc 1:00 pm</td>
<td>54254</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>november 3, 1996</td>
<td>san diego chargers</td>
<td>l 19-26</td>
<td>5-4</td>
<td>rca dome</td>
<td>nbc 1:00 pm</td>
<td>58484</td>
<td>0</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>november 10, 1996</td>
<td>at miami dolphins</td>
<td>l 13-37</td>
<td>5-5</td>
<td>joe robbie stadium</td>
<td>nbc 1:00 pm</td>
<td>66623</td>
<td>0</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>november 17, 1996</td>
<td>new york jets</td>
<td>w 34-29</td>
<td>6-5</td>
<td>rca dome</td>
<td>nbc 1:00 pm</td>
<td>48322</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>november 24, 1996</td>
<td>at new england patriots</td>
<td>l 13-27</td>
<td>6-6</td>
<td>foxboro stadium</td>
<td>nbc 1:00 pm</td>
<td>58226</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>december 1, 1996</td>
<td>buffalo bills</td>
<td>w 13-10</td>
<td>7-6</td>
<td>rca dome</td>
<td>nbc 4:15 pm</td>
<td>53804</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>december 5, 1996</td>
<td>philadelphia eagles</td>
<td>w 37-10</td>
<td>8-6</td>
<td>rca dome</td>
<td>espn 8:15 pm</td>
<td>52689</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>december 15, 1996</td>
<td>at kansas city chiefs</td>
<td>w 24-19</td>
<td>9-6</td>
<td>arrowhead stadium</td>
<td>nbc 4:15 pm</td>
<td>71136</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>december 22, 1996</td>
<td>at cincinnati bengals</td>
<td>l 24-31</td>
<td>9-7</td>
<td>cinergy field</td>
<td>nbc 1:00 pm</td>
<td>49389</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>bye</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select bye where record = '6-5' order by bye desc limit 1 <table_name> : table | | week | date | opponent | result | record | game site | tv time | attendance | bye |
|---:|-------:|:-------------------|:------------------------|:---------|:---------|:-------------------|:-------------|:-------------|------:|
| 0 | 1 | september 1, 1996 | arizona cardinals | w 20-13 | 1-0 | rca dome | fox 1:00 pm | 48133 | 0 |
| 1 | 2 | september 8, 1996 | at new york jets | w 21-7 | 2-0 | the meadowlands | nbc 4:15 pm | 63534 | 0 |
| 2 | 3 | september 15, 1996 | at dallas cowboys | w 25-24 | 3-0 | texas stadium | nbc 4:15 pm | 63021 | 0 |
| 3 | 4 | september 23, 1996 | miami dolphins | w 10-6 | 4-0 | rca dome | abc 9:00 pm | 60891 | 0 |
| 4 | 5 | none | none | none | none | none | none | none | 1 |
| 5 | 6 | october 6, 1996 | at buffalo bills | l 13-16 | 4-1 | rich stadium | nbc 4:15 pm | 79401 | 0 |
| 6 | 7 | october 13, 1996 | baltimore ravens | w 26-21 | 5-1 | rca dome | tnt 8:15 pm | 56978 | 0 |
| 7 | 8 | october 20, 1996 | new england patriots | l 9-27 | 5-2 | rca dome | nbc 1:00 pm | 58725 | 0 |
| 8 | 9 | october 27, 1996 | at washington redskins | l 16-31 | 5-3 | rfk stadium | nbc 1:00 pm | 54254 | 0 |
| 9 | 10 | november 3, 1996 | san diego chargers | l 19-26 | 5-4 | rca dome | nbc 1:00 pm | 58484 | 0 |
| 10 | 11 | november 10, 1996 | at miami dolphins | l 13-37 | 5-5 | joe robbie stadium | nbc 1:00 pm | 66623 | 0 |
| 11 | 12 | november 17, 1996 | new york jets | w 34-29 | 6-5 | rca dome | nbc 1:00 pm | 48322 | 0 |
| 12 | 13 | november 24, 1996 | at new england patriots | l 13-27 | 6-6 | foxboro stadium | nbc 1:00 pm | 58226 | 0 |
| 13 | 14 | december 1, 1996 | buffalo bills | w 13-10 | 7-6 | rca dome | nbc 4:15 pm | 53804 | 0 |
| 14 | 15 | december 5, 1996 | philadelphia eagles | w 37-10 | 8-6 | rca dome | espn 8:15 pm | 52689 | 0 |
| 15 | 16 | december 15, 1996 | at kansas city chiefs | w 24-19 | 9-6 | arrowhead stadium | nbc 4:15 pm | 71136 | 0 |
| 16 | 17 | december 22, 1996 | at cincinnati bengals | l 24-31 | 9-7 | cinergy field | nbc 1:00 pm | 49389 | 0 | | | | bye |
|---:|------:|
| 0 | 0 | | [
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] |
select gold where nation = 'rwanda' col : rank | nation | gold | silver | bronze | total row 1 : 1 | nigeria | 14 | 12 | 9 | 35 row 2 : 2 | algeria | 9 | 4 | 4 | 17 row 3 : 3 | kenya | 8 | 11 | 4 | 23 row 4 : 4 | ethiopia | 2 | 4 | 7 | 13 row 5 : 5 | ghana | 2 | 2 | 2 | 6 row 6 : 6 | ivory coast | 2 | 1 | 3 | 6 row 7 : 7 | egypt | 2 | 1 | 0 | 3 row 8 : 8 | senegal | 1 | 1 | 5 | 7 row 9 : 9 | morocco | 1 | 1 | 1 | 3 row 10 : 10 | tunisia | 0 | 3 | 1 | 4 row 11 : 11 | madagascar | 0 | 1 | 1 | 2 row 12 : 12 | rwanda | 0 | 0 | 1 | 1 row 13 : 12 | zimbabwe | 0 | 0 | 1 | 1 row 14 : 12 | seychelles | 0 | 0 | 1 | 1 | col : gold row 1 : 0 | select gold where nation = 'rwanda' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & nigeria & 14 & 12 & 9 & 35 \\
1 & 2 & algeria & 9 & 4 & 4 & 17 \\
2 & 3 & kenya & 8 & 11 & 4 & 23 \\
3 & 4 & ethiopia & 2 & 4 & 7 & 13 \\
4 & 5 & ghana & 2 & 2 & 2 & 6 \\
5 & 6 & ivory coast & 2 & 1 & 3 & 6 \\
6 & 7 & egypt & 2 & 1 & 0 & 3 \\
7 & 8 & senegal & 1 & 1 & 5 & 7 \\
8 & 9 & morocco & 1 & 1 & 1 & 3 \\
9 & 10 & tunisia & 0 & 3 & 1 & 4 \\
10 & 11 & madagascar & 0 & 1 & 1 & 2 \\
11 & 12 & rwanda & 0 & 0 & 1 & 1 \\
12 & 12 & zimbabwe & 0 & 0 & 1 & 1 \\
13 & 12 & seychelles & 0 & 0 & 1 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& gold \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select gold where nation = 'rwanda' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>nigeria</td>
<td>14</td>
<td>12</td>
<td>9</td>
<td>35</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>algeria</td>
<td>9</td>
<td>4</td>
<td>4</td>
<td>17</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>kenya</td>
<td>8</td>
<td>11</td>
<td>4</td>
<td>23</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>ethiopia</td>
<td>2</td>
<td>4</td>
<td>7</td>
<td>13</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>ghana</td>
<td>2</td>
<td>2</td>
<td>2</td>
<td>6</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>ivory coast</td>
<td>2</td>
<td>1</td>
<td>3</td>
<td>6</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>egypt</td>
<td>2</td>
<td>1</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>senegal</td>
<td>1</td>
<td>1</td>
<td>5</td>
<td>7</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>morocco</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>tunisia</td>
<td>0</td>
<td>3</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>madagascar</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>rwanda</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>12</td>
<td>zimbabwe</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>12</td>
<td>seychelles</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>gold</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select gold where nation = 'rwanda' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|-------:|:------------|-------:|---------:|---------:|--------:|
| 0 | 1 | nigeria | 14 | 12 | 9 | 35 |
| 1 | 2 | algeria | 9 | 4 | 4 | 17 |
| 2 | 3 | kenya | 8 | 11 | 4 | 23 |
| 3 | 4 | ethiopia | 2 | 4 | 7 | 13 |
| 4 | 5 | ghana | 2 | 2 | 2 | 6 |
| 5 | 6 | ivory coast | 2 | 1 | 3 | 6 |
| 6 | 7 | egypt | 2 | 1 | 0 | 3 |
| 7 | 8 | senegal | 1 | 1 | 5 | 7 |
| 8 | 9 | morocco | 1 | 1 | 1 | 3 |
| 9 | 10 | tunisia | 0 | 3 | 1 | 4 |
| 10 | 11 | madagascar | 0 | 1 | 1 | 2 |
| 11 | 12 | rwanda | 0 | 0 | 1 | 1 |
| 12 | 12 | zimbabwe | 0 | 0 | 1 | 1 |
| 13 | 12 | seychelles | 0 | 0 | 1 | 1 | | | | gold |
|---:|-------:|
| 0 | 0 | | [
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select hometown where contestant = 'betsy milena batista' col : represent | contestant | age | height | hometown row 1 : 1 | mildred kincaid adames | 20 | 1.65 mts | panama city row 2 : 2 | catherine henderson tudisco | 20 | 1.66 mts | panama city row 3 : 3 | giovanna alida loaiza | 21 | 1.67 mts | panama city row 4 : 4 | reyna royo | 24 | 1.69 mts | panama city row 5 : 5 | ivonne ileana correa turney | 23 | 1.70 mts | panama city row 6 : 6 | karol guevara | 22 | 1.70 mts | panama city row 7 : 7 | betzy janette achurra castillo | 20 | 1.70 mts | panama city row 8 : 8 | marisela moreno montero | 24 | 1.73 mts | panama city row 9 : 9 | patricia de leon | 19 | 1.74 mts | panama city row 10 : 10 | marichelle julieta ruiz leone | 20 | 1.74 mts | panama city row 11 : 11 | betsy milena batista | 21 | 1.75 mts | panama city row 12 : 12 | lourdes rodriguez | 21 | 1.75 mts | panama city row 13 : 13 | janessy jasiell contreras ibarra | 18 | 1.75 mts | panama city row 14 : 14 | gina larissa correa hils | 20 | 1.76 mts | panama city row 15 : 15 | swany cisney castillo | 23 | 1.78 mts | panama city row 16 : 16 | michelle krisko sugasti | 20 | 1.80mts | panama city | col : hometown row 1 : panama city | select hometown where contestant = 'betsy milena batista' <table_name> : table \begin{tabular}{llllll}
\toprule
& represent & contestant & age & height & hometown \\
\midrule
0 & 1 & mildred kincaid adames & 20 & 1.65 mts & panama city \\
1 & 2 & catherine henderson tudisco & 20 & 1.66 mts & panama city \\
2 & 3 & giovanna alida loaiza & 21 & 1.67 mts & panama city \\
3 & 4 & reyna royo & 24 & 1.69 mts & panama city \\
4 & 5 & ivonne ileana correa turney & 23 & 1.70 mts & panama city \\
5 & 6 & karol guevara & 22 & 1.70 mts & panama city \\
6 & 7 & betzy janette achurra castillo & 20 & 1.70 mts & panama city \\
7 & 8 & marisela moreno montero & 24 & 1.73 mts & panama city \\
8 & 9 & patricia de leon & 19 & 1.74 mts & panama city \\
9 & 10 & marichelle julieta ruiz leone & 20 & 1.74 mts & panama city \\
10 & 11 & betsy milena batista & 21 & 1.75 mts & panama city \\
11 & 12 & lourdes rodriguez & 21 & 1.75 mts & panama city \\
12 & 13 & janessy jasiell contreras ibarra & 18 & 1.75 mts & panama city \\
13 & 14 & gina larissa correa hils & 20 & 1.76 mts & panama city \\
14 & 15 & swany cisney castillo & 23 & 1.78 mts & panama city \\
15 & 16 & michelle krisko sugasti & 20 & 1.80mts & panama city \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& hometown \\
\midrule
0 & panama city \\
\bottomrule
\end{tabular}
| select hometown where contestant = 'betsy milena batista' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>represent</th>
<th>contestant</th>
<th>age</th>
<th>height</th>
<th>hometown</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>mildred kincaid adames</td>
<td>20</td>
<td>1.65 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>catherine henderson tudisco</td>
<td>20</td>
<td>1.66 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>giovanna alida loaiza</td>
<td>21</td>
<td>1.67 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>reyna royo</td>
<td>24</td>
<td>1.69 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>ivonne ileana correa turney</td>
<td>23</td>
<td>1.70 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>karol guevara</td>
<td>22</td>
<td>1.70 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>betzy janette achurra castillo</td>
<td>20</td>
<td>1.70 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>marisela moreno montero</td>
<td>24</td>
<td>1.73 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>patricia de leon</td>
<td>19</td>
<td>1.74 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>marichelle julieta ruiz leone</td>
<td>20</td>
<td>1.74 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>betsy milena batista</td>
<td>21</td>
<td>1.75 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>lourdes rodriguez</td>
<td>21</td>
<td>1.75 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>janessy jasiell contreras ibarra</td>
<td>18</td>
<td>1.75 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>gina larissa correa hils</td>
<td>20</td>
<td>1.76 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>swany cisney castillo</td>
<td>23</td>
<td>1.78 mts</td>
<td>panama city</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>michelle krisko sugasti</td>
<td>20</td>
<td>1.80mts</td>
<td>panama city</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>hometown</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>panama city</td>
</tr>
</tbody>
</table> | select hometown where contestant = 'betsy milena batista' <table_name> : table | | represent | contestant | age | height | hometown |
|---:|------------:|:---------------------------------|------:|:---------|:------------|
| 0 | 1 | mildred kincaid adames | 20 | 1.65 mts | panama city |
| 1 | 2 | catherine henderson tudisco | 20 | 1.66 mts | panama city |
| 2 | 3 | giovanna alida loaiza | 21 | 1.67 mts | panama city |
| 3 | 4 | reyna royo | 24 | 1.69 mts | panama city |
| 4 | 5 | ivonne ileana correa turney | 23 | 1.70 mts | panama city |
| 5 | 6 | karol guevara | 22 | 1.70 mts | panama city |
| 6 | 7 | betzy janette achurra castillo | 20 | 1.70 mts | panama city |
| 7 | 8 | marisela moreno montero | 24 | 1.73 mts | panama city |
| 8 | 9 | patricia de leon | 19 | 1.74 mts | panama city |
| 9 | 10 | marichelle julieta ruiz leone | 20 | 1.74 mts | panama city |
| 10 | 11 | betsy milena batista | 21 | 1.75 mts | panama city |
| 11 | 12 | lourdes rodriguez | 21 | 1.75 mts | panama city |
| 12 | 13 | janessy jasiell contreras ibarra | 18 | 1.75 mts | panama city |
| 13 | 14 | gina larissa correa hils | 20 | 1.76 mts | panama city |
| 14 | 15 | swany cisney castillo | 23 | 1.78 mts | panama city |
| 15 | 16 | michelle krisko sugasti | 20 | 1.80mts | panama city | | | | hometown |
|---:|:------------|
| 0 | panama city | | [
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select entrant where pos = 1 col : pos | driver | entrant | constructor | time/retired | grid row 1 : 1 | jim clark | team lotus | lotus-climax | 2.02:58.6 | 1 row 2 : 2 | richie ginther | owen racing organisation | brm | + 22.6 s | 3 row 3 : 3 | graham hill | owen racing organisation | brm | + 28.2 s | 2 row 4 : 4 | jack brabham | brabham racing organisation | brabham-climax | + 52.0 s | 11 row 5 : 5 | tony maggs | cooper car company | cooper-climax | 72 laps | 6 row 6 : 6 | bruce mclaren | cooper | cooper-climax | 72 laps | 7 row 7 : 7 | mike hailwood | reg parnell (racing) | lola-climax | 70 laps | 9 row 8 : 8 | ian burgess | scirocco-powell (racing cars) | scirocco-brm | 69 laps | 18 row 9 : 9 | peter revson | reg parnell (racing) | lotus-brm | 69 laps | 15 row 10 : 10 | carel godin de beaufort | ecurie maarsbergen | porsche | 67 laps | 20 row 11 : 11 | jo siffert | siffert racing team | lotus-brm | engine (66 laps) | 12 row 12 : 12 | andre pilette | andre pilette | lotus-climax | 63 laps | 21 row 13 : 13 | innes ireland | british racing partnership | lotus-brm | oil pressure (56 laps) | 5 row 14 : 14 | bernard collomb | bernard collomb | lotus-climax | oil pressure (46 laps) | 19 row 15 : ret | ian raby | ian raby (racing) | gilby-brm | ignition | 13 row 16 : ret | dan gurney | brabham racing organisation | brabham-climax | oil leak | 16 row 17 : ret | mike beckwith | british racing partnership | lotus-brm | accident | 17 row 18 : ret | masten gregory | tim parnell | lotus-brm | cam follower | 14 row 19 : ret | trevor taylor | team lotus | lotus-climax | crownwheel & pinion | 4 row 20 : ret | jo bonnier | rob walker racing team | cooper-climax | oil pressure | 8 row 21 : ret | tony settember | scirocco-powell (racing cars) | scirocco-brm | valve gear | 22 row 22 : ret | bob anderson | dw racing enterprises | lola-climax | gearbox | 10 row 23 : wd | peter arundell | team lotus | lotus-climax | car not ready | none | col : entrant row 1 : team lotus | select entrant where pos = 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& pos & driver & entrant & constructor & time/retired & grid \\
\midrule
0 & 1 & jim clark & team lotus & lotus-climax & 2.02:58.6 & 1 \\
1 & 2 & richie ginther & owen racing organisation & brm & + 22.6 s & 3 \\
2 & 3 & graham hill & owen racing organisation & brm & + 28.2 s & 2 \\
3 & 4 & jack brabham & brabham racing organisation & brabham-climax & + 52.0 s & 11 \\
4 & 5 & tony maggs & cooper car company & cooper-climax & 72 laps & 6 \\
5 & 6 & bruce mclaren & cooper & cooper-climax & 72 laps & 7 \\
6 & 7 & mike hailwood & reg parnell (racing) & lola-climax & 70 laps & 9 \\
7 & 8 & ian burgess & scirocco-powell (racing cars) & scirocco-brm & 69 laps & 18 \\
8 & 9 & peter revson & reg parnell (racing) & lotus-brm & 69 laps & 15 \\
9 & 10 & carel godin de beaufort & ecurie maarsbergen & porsche & 67 laps & 20 \\
10 & 11 & jo siffert & siffert racing team & lotus-brm & engine (66 laps) & 12 \\
11 & 12 & andre pilette & andre pilette & lotus-climax & 63 laps & 21 \\
12 & 13 & innes ireland & british racing partnership & lotus-brm & oil pressure (56 laps) & 5 \\
13 & 14 & bernard collomb & bernard collomb & lotus-climax & oil pressure (46 laps) & 19 \\
14 & ret & ian raby & ian raby (racing) & gilby-brm & ignition & 13 \\
15 & ret & dan gurney & brabham racing organisation & brabham-climax & oil leak & 16 \\
16 & ret & mike beckwith & british racing partnership & lotus-brm & accident & 17 \\
17 & ret & masten gregory & tim parnell & lotus-brm & cam follower & 14 \\
18 & ret & trevor taylor & team lotus & lotus-climax & crownwheel & pinion & 4 \\
19 & ret & jo bonnier & rob walker racing team & cooper-climax & oil pressure & 8 \\
20 & ret & tony settember & scirocco-powell (racing cars) & scirocco-brm & valve gear & 22 \\
21 & ret & bob anderson & dw racing enterprises & lola-climax & gearbox & 10 \\
22 & wd & peter arundell & team lotus & lotus-climax & car not ready & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& entrant \\
\midrule
0 & team lotus \\
\bottomrule
\end{tabular}
| select entrant where pos = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>driver</th>
<th>entrant</th>
<th>constructor</th>
<th>time/retired</th>
<th>grid</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>jim clark</td>
<td>team lotus</td>
<td>lotus-climax</td>
<td>2.02:58.6</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>richie ginther</td>
<td>owen racing organisation</td>
<td>brm</td>
<td>+ 22.6 s</td>
<td>3</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>graham hill</td>
<td>owen racing organisation</td>
<td>brm</td>
<td>+ 28.2 s</td>
<td>2</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>jack brabham</td>
<td>brabham racing organisation</td>
<td>brabham-climax</td>
<td>+ 52.0 s</td>
<td>11</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>tony maggs</td>
<td>cooper car company</td>
<td>cooper-climax</td>
<td>72 laps</td>
<td>6</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>bruce mclaren</td>
<td>cooper</td>
<td>cooper-climax</td>
<td>72 laps</td>
<td>7</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>mike hailwood</td>
<td>reg parnell (racing)</td>
<td>lola-climax</td>
<td>70 laps</td>
<td>9</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>ian burgess</td>
<td>scirocco-powell (racing cars)</td>
<td>scirocco-brm</td>
<td>69 laps</td>
<td>18</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>peter revson</td>
<td>reg parnell (racing)</td>
<td>lotus-brm</td>
<td>69 laps</td>
<td>15</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>carel godin de beaufort</td>
<td>ecurie maarsbergen</td>
<td>porsche</td>
<td>67 laps</td>
<td>20</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>jo siffert</td>
<td>siffert racing team</td>
<td>lotus-brm</td>
<td>engine (66 laps)</td>
<td>12</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>andre pilette</td>
<td>andre pilette</td>
<td>lotus-climax</td>
<td>63 laps</td>
<td>21</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>innes ireland</td>
<td>british racing partnership</td>
<td>lotus-brm</td>
<td>oil pressure (56 laps)</td>
<td>5</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>bernard collomb</td>
<td>bernard collomb</td>
<td>lotus-climax</td>
<td>oil pressure (46 laps)</td>
<td>19</td>
</tr>
<tr>
<th>14</th>
<td>ret</td>
<td>ian raby</td>
<td>ian raby (racing)</td>
<td>gilby-brm</td>
<td>ignition</td>
<td>13</td>
</tr>
<tr>
<th>15</th>
<td>ret</td>
<td>dan gurney</td>
<td>brabham racing organisation</td>
<td>brabham-climax</td>
<td>oil leak</td>
<td>16</td>
</tr>
<tr>
<th>16</th>
<td>ret</td>
<td>mike beckwith</td>
<td>british racing partnership</td>
<td>lotus-brm</td>
<td>accident</td>
<td>17</td>
</tr>
<tr>
<th>17</th>
<td>ret</td>
<td>masten gregory</td>
<td>tim parnell</td>
<td>lotus-brm</td>
<td>cam follower</td>
<td>14</td>
</tr>
<tr>
<th>18</th>
<td>ret</td>
<td>trevor taylor</td>
<td>team lotus</td>
<td>lotus-climax</td>
<td>crownwheel & pinion</td>
<td>4</td>
</tr>
<tr>
<th>19</th>
<td>ret</td>
<td>jo bonnier</td>
<td>rob walker racing team</td>
<td>cooper-climax</td>
<td>oil pressure</td>
<td>8</td>
</tr>
<tr>
<th>20</th>
<td>ret</td>
<td>tony settember</td>
<td>scirocco-powell (racing cars)</td>
<td>scirocco-brm</td>
<td>valve gear</td>
<td>22</td>
</tr>
<tr>
<th>21</th>
<td>ret</td>
<td>bob anderson</td>
<td>dw racing enterprises</td>
<td>lola-climax</td>
<td>gearbox</td>
<td>10</td>
</tr>
<tr>
<th>22</th>
<td>wd</td>
<td>peter arundell</td>
<td>team lotus</td>
<td>lotus-climax</td>
<td>car not ready</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>entrant</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>team lotus</td>
</tr>
</tbody>
</table> | select entrant where pos = 1 <table_name> : table | | pos | driver | entrant | constructor | time/retired | grid |
|---:|:------|:------------------------|:------------------------------|:---------------|:-----------------------|:-------|
| 0 | 1 | jim clark | team lotus | lotus-climax | 2.02:58.6 | 1 |
| 1 | 2 | richie ginther | owen racing organisation | brm | + 22.6 s | 3 |
| 2 | 3 | graham hill | owen racing organisation | brm | + 28.2 s | 2 |
| 3 | 4 | jack brabham | brabham racing organisation | brabham-climax | + 52.0 s | 11 |
| 4 | 5 | tony maggs | cooper car company | cooper-climax | 72 laps | 6 |
| 5 | 6 | bruce mclaren | cooper | cooper-climax | 72 laps | 7 |
| 6 | 7 | mike hailwood | reg parnell (racing) | lola-climax | 70 laps | 9 |
| 7 | 8 | ian burgess | scirocco-powell (racing cars) | scirocco-brm | 69 laps | 18 |
| 8 | 9 | peter revson | reg parnell (racing) | lotus-brm | 69 laps | 15 |
| 9 | 10 | carel godin de beaufort | ecurie maarsbergen | porsche | 67 laps | 20 |
| 10 | 11 | jo siffert | siffert racing team | lotus-brm | engine (66 laps) | 12 |
| 11 | 12 | andre pilette | andre pilette | lotus-climax | 63 laps | 21 |
| 12 | 13 | innes ireland | british racing partnership | lotus-brm | oil pressure (56 laps) | 5 |
| 13 | 14 | bernard collomb | bernard collomb | lotus-climax | oil pressure (46 laps) | 19 |
| 14 | ret | ian raby | ian raby (racing) | gilby-brm | ignition | 13 |
| 15 | ret | dan gurney | brabham racing organisation | brabham-climax | oil leak | 16 |
| 16 | ret | mike beckwith | british racing partnership | lotus-brm | accident | 17 |
| 17 | ret | masten gregory | tim parnell | lotus-brm | cam follower | 14 |
| 18 | ret | trevor taylor | team lotus | lotus-climax | crownwheel & pinion | 4 |
| 19 | ret | jo bonnier | rob walker racing team | cooper-climax | oil pressure | 8 |
| 20 | ret | tony settember | scirocco-powell (racing cars) | scirocco-brm | valve gear | 22 |
| 21 | ret | bob anderson | dw racing enterprises | lola-climax | gearbox | 10 |
| 22 | wd | peter arundell | team lotus | lotus-climax | car not ready | none | | | | entrant |
|---:|:-----------|
| 0 | team lotus | | [
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