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|---|---|---|---|---|---|---|---|---|---|---|
select count ( finalist ) where dress colour = 'lilac' col : finalist | age | from | dress colour | status row 1 : laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 row 2 : belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 row 3 : meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 row 4 : simona armstrong | 28 | romania | purple | eliminated 4th in week 4 row 5 : leanne dobinson | 20 | colchester | lilac | eliminated 5th in week 4 row 6 : abi finley | 23 | manchester | light blue | eliminated 6th in week 5 row 7 : aoife mulholland | 28 | salthill | green | eliminated 7th in week 5 row 8 : siobhan dillon | 21 | staffordshire | red | third place row 9 : helena blackman | 23 | southampton | pink | second place row 10 : connie fisher | 23 | pembrokeshire | orange | winner | col : count ( "finalist" ) row 1 : 1 | select count ( finalist ) where dress colour = 'lilac' <table_name> : table \begin{tabular}{llllll}
\toprule
& finalist & age & from & dress colour & status \\
\midrule
0 & laura sicurello & 26 & milton keynes & yellow & eliminated 1st in week 1 \\
1 & belinda evans & 28 & somerset & dark blue & eliminated 2nd in week 2 \\
2 & meliz serman & 23 & chingford, london & gold & eliminated 3rd in week 3 \\
3 & simona armstrong & 28 & romania & purple & eliminated 4th in week 4 \\
4 & leanne dobinson & 20 & colchester & lilac & eliminated 5th in week 4 \\
5 & abi finley & 23 & manchester & light blue & eliminated 6th in week 5 \\
6 & aoife mulholland & 28 & salthill & green & eliminated 7th in week 5 \\
7 & siobhan dillon & 21 & staffordshire & red & third place \\
8 & helena blackman & 23 & southampton & pink & second place \\
9 & connie fisher & 23 & pembrokeshire & orange & winner \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "finalist" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( finalist ) where dress colour = 'lilac' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>finalist</th>
<th>age</th>
<th>from</th>
<th>dress colour</th>
<th>status</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>laura sicurello</td>
<td>26</td>
<td>milton keynes</td>
<td>yellow</td>
<td>eliminated 1st in week 1</td>
</tr>
<tr>
<th>1</th>
<td>belinda evans</td>
<td>28</td>
<td>somerset</td>
<td>dark blue</td>
<td>eliminated 2nd in week 2</td>
</tr>
<tr>
<th>2</th>
<td>meliz serman</td>
<td>23</td>
<td>chingford, london</td>
<td>gold</td>
<td>eliminated 3rd in week 3</td>
</tr>
<tr>
<th>3</th>
<td>simona armstrong</td>
<td>28</td>
<td>romania</td>
<td>purple</td>
<td>eliminated 4th in week 4</td>
</tr>
<tr>
<th>4</th>
<td>leanne dobinson</td>
<td>20</td>
<td>colchester</td>
<td>lilac</td>
<td>eliminated 5th in week 4</td>
</tr>
<tr>
<th>5</th>
<td>abi finley</td>
<td>23</td>
<td>manchester</td>
<td>light blue</td>
<td>eliminated 6th in week 5</td>
</tr>
<tr>
<th>6</th>
<td>aoife mulholland</td>
<td>28</td>
<td>salthill</td>
<td>green</td>
<td>eliminated 7th in week 5</td>
</tr>
<tr>
<th>7</th>
<td>siobhan dillon</td>
<td>21</td>
<td>staffordshire</td>
<td>red</td>
<td>third place</td>
</tr>
<tr>
<th>8</th>
<td>helena blackman</td>
<td>23</td>
<td>southampton</td>
<td>pink</td>
<td>second place</td>
</tr>
<tr>
<th>9</th>
<td>connie fisher</td>
<td>23</td>
<td>pembrokeshire</td>
<td>orange</td>
<td>winner</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "finalist" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( finalist ) where dress colour = 'lilac' <table_name> : table | | finalist | age | from | dress colour | status |
|---:|:-----------------|------:|:------------------|:---------------|:-------------------------|
| 0 | laura sicurello | 26 | milton keynes | yellow | eliminated 1st in week 1 |
| 1 | belinda evans | 28 | somerset | dark blue | eliminated 2nd in week 2 |
| 2 | meliz serman | 23 | chingford, london | gold | eliminated 3rd in week 3 |
| 3 | simona armstrong | 28 | romania | purple | eliminated 4th in week 4 |
| 4 | leanne dobinson | 20 | colchester | lilac | eliminated 5th in week 4 |
| 5 | abi finley | 23 | manchester | light blue | eliminated 6th in week 5 |
| 6 | aoife mulholland | 28 | salthill | green | eliminated 7th in week 5 |
| 7 | siobhan dillon | 21 | staffordshire | red | third place |
| 8 | helena blackman | 23 | southampton | pink | second place |
| 9 | connie fisher | 23 | pembrokeshire | orange | winner | | | | count ( "finalist" ) |
|---:|-----------------------:|
| 0 | 1 | | [
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select count ( * ) where class pos. = '9th' col : year | class | no | tyres | car | team | co-drivers | laps | pos. | class pos. row 1 : 1972 | s 3.0 | 22 | none | ligier js2 maserati 3.0l v6 | automobiles ligier | pierre maublanc | 195 | dnf | dnf row 2 : 1973 | s 3.0 | 62 | none | ligier js2 maserati 3.0l v6 | automobiles ligier | guy ligier | 24 | dsq | dsq row 3 : 1974 | s 3.0 | 15 | none | ligier js2 maserati 3.0l v6 | automobiles ligier | alain serpaggi | 310 | 8th | 5th row 4 : 1977 | s +2.0 | 8 | none | renault alpine a442 renault 2.0l turbo v6 | renault sport | patrick depailler | 289 | dnf | dnf row 5 : 1978 | s +2.0 | 10 | none | mirage m9 renault 2.0l turbo v6 | grand touring cars inc | vern schuppan sam posey | 293 | 10th | 5th row 6 : 1990 | c1 | 6 | g | porsche 962c porsche type-935 3.0l turbo flat-6 | joest porsche racing | henri pescarolo jean-louis ricci | 328 | 14th | 14th row 7 : 1993 | gt | 71 | d | venturi 500lm renault prv 3.0 l turbo v6 | jacadi racing | michel maisonneuve christophe dechavanne | 210 | dnf | dnf row 8 : 1994 | gt2 | 49 | p | porsche 911 carrera rsr porsche 3.8 l flat-6 | larbre competition | jacques almeras jean-marie almeras | 94 | dnf | dnf row 9 : 1996 | gt1 | 38 | m | mclaren f1 gtr bmw s70 6.1l v12 | team bigazzi srl | steve soper marc duez | 318 | 11th | 9th | col : count ( "*" ) row 1 : 1 | select count ( * ) where class pos. = '9th' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& year & class & no & tyres & car & team & co-drivers & laps & pos. & class pos. \\
\midrule
0 & 1972 & s 3.0 & 22 & none & ligier js2 maserati 3.0l v6 & automobiles ligier & pierre maublanc & 195 & dnf & dnf \\
1 & 1973 & s 3.0 & 62 & none & ligier js2 maserati 3.0l v6 & automobiles ligier & guy ligier & 24 & dsq & dsq \\
2 & 1974 & s 3.0 & 15 & none & ligier js2 maserati 3.0l v6 & automobiles ligier & alain serpaggi & 310 & 8th & 5th \\
3 & 1977 & s +2.0 & 8 & none & renault alpine a442 renault 2.0l turbo v6 & renault sport & patrick depailler & 289 & dnf & dnf \\
4 & 1978 & s +2.0 & 10 & none & mirage m9 renault 2.0l turbo v6 & grand touring cars inc & vern schuppan sam posey & 293 & 10th & 5th \\
5 & 1990 & c1 & 6 & g & porsche 962c porsche type-935 3.0l turbo flat-6 & joest porsche racing & henri pescarolo jean-louis ricci & 328 & 14th & 14th \\
6 & 1993 & gt & 71 & d & venturi 500lm renault prv 3.0 l turbo v6 & jacadi racing & michel maisonneuve christophe dechavanne & 210 & dnf & dnf \\
7 & 1994 & gt2 & 49 & p & porsche 911 carrera rsr porsche 3.8 l flat-6 & larbre competition & jacques almeras jean-marie almeras & 94 & dnf & dnf \\
8 & 1996 & gt1 & 38 & m & mclaren f1 gtr bmw s70 6.1l v12 & team bigazzi srl & steve soper marc duez & 318 & 11th & 9th \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where class pos. = '9th' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>class</th>
<th>no</th>
<th>tyres</th>
<th>car</th>
<th>team</th>
<th>co-drivers</th>
<th>laps</th>
<th>pos.</th>
<th>class pos.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1972</td>
<td>s 3.0</td>
<td>22</td>
<td>none</td>
<td>ligier js2 maserati 3.0l v6</td>
<td>automobiles ligier</td>
<td>pierre maublanc</td>
<td>195</td>
<td>dnf</td>
<td>dnf</td>
</tr>
<tr>
<th>1</th>
<td>1973</td>
<td>s 3.0</td>
<td>62</td>
<td>none</td>
<td>ligier js2 maserati 3.0l v6</td>
<td>automobiles ligier</td>
<td>guy ligier</td>
<td>24</td>
<td>dsq</td>
<td>dsq</td>
</tr>
<tr>
<th>2</th>
<td>1974</td>
<td>s 3.0</td>
<td>15</td>
<td>none</td>
<td>ligier js2 maserati 3.0l v6</td>
<td>automobiles ligier</td>
<td>alain serpaggi</td>
<td>310</td>
<td>8th</td>
<td>5th</td>
</tr>
<tr>
<th>3</th>
<td>1977</td>
<td>s +2.0</td>
<td>8</td>
<td>none</td>
<td>renault alpine a442 renault 2.0l turbo v6</td>
<td>renault sport</td>
<td>patrick depailler</td>
<td>289</td>
<td>dnf</td>
<td>dnf</td>
</tr>
<tr>
<th>4</th>
<td>1978</td>
<td>s +2.0</td>
<td>10</td>
<td>none</td>
<td>mirage m9 renault 2.0l turbo v6</td>
<td>grand touring cars inc</td>
<td>vern schuppan sam posey</td>
<td>293</td>
<td>10th</td>
<td>5th</td>
</tr>
<tr>
<th>5</th>
<td>1990</td>
<td>c1</td>
<td>6</td>
<td>g</td>
<td>porsche 962c porsche type-935 3.0l turbo flat-6</td>
<td>joest porsche racing</td>
<td>henri pescarolo jean-louis ricci</td>
<td>328</td>
<td>14th</td>
<td>14th</td>
</tr>
<tr>
<th>6</th>
<td>1993</td>
<td>gt</td>
<td>71</td>
<td>d</td>
<td>venturi 500lm renault prv 3.0 l turbo v6</td>
<td>jacadi racing</td>
<td>michel maisonneuve christophe dechavanne</td>
<td>210</td>
<td>dnf</td>
<td>dnf</td>
</tr>
<tr>
<th>7</th>
<td>1994</td>
<td>gt2</td>
<td>49</td>
<td>p</td>
<td>porsche 911 carrera rsr porsche 3.8 l flat-6</td>
<td>larbre competition</td>
<td>jacques almeras jean-marie almeras</td>
<td>94</td>
<td>dnf</td>
<td>dnf</td>
</tr>
<tr>
<th>8</th>
<td>1996</td>
<td>gt1</td>
<td>38</td>
<td>m</td>
<td>mclaren f1 gtr bmw s70 6.1l v12</td>
<td>team bigazzi srl</td>
<td>steve soper marc duez</td>
<td>318</td>
<td>11th</td>
<td>9th</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 class pos. = '9th' <table_name> : table | | year | class | no | tyres | car | team | co-drivers | laps | pos. | class pos. |
|---:|-------:|:--------|-----:|:--------|:------------------------------------------------|:-----------------------|:-----------------------------------------|-------:|:-------|:-------------|
| 0 | 1972 | s 3.0 | 22 | none | ligier js2 maserati 3.0l v6 | automobiles ligier | pierre maublanc | 195 | dnf | dnf |
| 1 | 1973 | s 3.0 | 62 | none | ligier js2 maserati 3.0l v6 | automobiles ligier | guy ligier | 24 | dsq | dsq |
| 2 | 1974 | s 3.0 | 15 | none | ligier js2 maserati 3.0l v6 | automobiles ligier | alain serpaggi | 310 | 8th | 5th |
| 3 | 1977 | s +2.0 | 8 | none | renault alpine a442 renault 2.0l turbo v6 | renault sport | patrick depailler | 289 | dnf | dnf |
| 4 | 1978 | s +2.0 | 10 | none | mirage m9 renault 2.0l turbo v6 | grand touring cars inc | vern schuppan sam posey | 293 | 10th | 5th |
| 5 | 1990 | c1 | 6 | g | porsche 962c porsche type-935 3.0l turbo flat-6 | joest porsche racing | henri pescarolo jean-louis ricci | 328 | 14th | 14th |
| 6 | 1993 | gt | 71 | d | venturi 500lm renault prv 3.0 l turbo v6 | jacadi racing | michel maisonneuve christophe dechavanne | 210 | dnf | dnf |
| 7 | 1994 | gt2 | 49 | p | porsche 911 carrera rsr porsche 3.8 l flat-6 | larbre competition | jacques almeras jean-marie almeras | 94 | dnf | dnf |
| 8 | 1996 | gt1 | 38 | m | mclaren f1 gtr bmw s70 6.1l v12 | team bigazzi srl | steve soper marc duez | 318 | 11th | 9th | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( pos ) where laps < 3 col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 1 | alain prost | ferrari | 64 | 1:18:30.999 | 5 | 9 row 2 : 2 | 5 | thierry boutsen | williams-renault | 64 | + 39.092 | 4 | 6 row 3 : 3 | 27 | ayrton senna | mclaren-honda | 64 | + 43.088 | 2 | 4 row 4 : 4 | 29 | eric bernard | lola-lamborghini | 64 | + 1:15.302 | 8 | 3 row 5 : 5 | 20 | nelson piquet | benetton-ford | 64 | + 1:24.003 | 11 | 2 row 6 : 6 | 30 | aguri suzuki | lola-lamborghini | 63 | + 1 lap | 9 | 1 row 7 : 7 | 10 | alex caffi | arrows-ford | 63 | + 1 lap | 17 | none row 8 : 8 | 4 | jean alesi | tyrrell-ford | 63 | + 1 lap | 6 | none row 9 : 9 | 8 | stefano modena | brabham-judd | 62 | + 2 laps | 20 | none row 10 : 10 | 25 | nicola larini | ligier-ford | 62 | + 2 laps | 21 | none row 11 : 11 | 21 | emanuele pirro | dallara-ford | 62 | + 2 laps | 19 | none row 12 : 12 | 24 | paolo barilla | minardi-ford | 62 | + 2 laps | 24 | none row 13 : 13 | 26 | philippe alliot | ligier-ford | 61 | + 3 laps | 22 | none row 14 : 14 | 28 | gerhard berger | mclaren-honda | 60 | throttle | 3 | none row 15 : ret | 2 | nigel mansell | ferrari | 55 | gearbox | 1 | none row 16 : ret | 16 | ivan capelli | leyton house-judd | 48 | fuel leak | 10 | none row 17 : ret | 12 | martin donnelly | lotus-lamborghini | 48 | engine | 14 | none row 18 : ret | 11 | derek warwick | lotus-lamborghini | 46 | engine | 16 | none row 19 : ret | 17 | gabriele tarquini | ags-ford | 41 | engine | 26 | none row 20 : ret | 9 | michele alboreto | arrows-ford | 37 | engine | 25 | none row 21 : ret | 6 | riccardo patrese | williams-renault | 26 | chassis | 7 | none row 22 : ret | 3 | satoru nakajima | tyrrell-ford | 20 | electrical | 12 | none row 23 : ret | 19 | alessandro nannini | benetton-ford | 15 | collision | 13 | none row 24 : ret | 22 | andrea de cesaris | dallara-ford | 12 | fuel system | 23 | none row 25 : ret | 23 | pierluigi martini | minardi-ford | 3 | alternator | 18 | none row 26 : dns | 15 | mauricio gugelmin | leyton house-judd | 0 | fuel pump | 15 | none row 27 : dnq | 14 | olivier grouillard | osella-ford | none | none | none | none row 28 : dnq | 7 | david brabham | brabham-judd | none | none | none | none row 29 : dnq | 36 | jj lehto | onyx-ford | none | none | none | none row 30 : dnq | 35 | gregor foitek | onyx-ford | none | none | none | none row 31 : dnpq | 33 | roberto moreno | eurobrun-judd | none | none | none | none row 32 : dnpq | 18 | yannick dalmas | ags-ford | none | none | none | none row 33 : dnpq | 34 | claudio langes | eurobrun-judd | none | none | none | none row 34 : dnpq | 31 | bertrand gachot | coloni-subaru | none | none | none | none row 35 : dnpq | 39 | bruno giacomelli | life | none | none | none | none | col : count ( "pos" ) row 1 : 5 | select count ( pos ) where laps < 3 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & constructor & laps & time/retired & grid & points \\
\midrule
0 & 1 & 1 & alain prost & ferrari & 64 & 1:18:30.999 & 5 & 9 \\
1 & 2 & 5 & thierry boutsen & williams-renault & 64 & + 39.092 & 4 & 6 \\
2 & 3 & 27 & ayrton senna & mclaren-honda & 64 & + 43.088 & 2 & 4 \\
3 & 4 & 29 & eric bernard & lola-lamborghini & 64 & + 1:15.302 & 8 & 3 \\
4 & 5 & 20 & nelson piquet & benetton-ford & 64 & + 1:24.003 & 11 & 2 \\
5 & 6 & 30 & aguri suzuki & lola-lamborghini & 63 & + 1 lap & 9 & 1 \\
6 & 7 & 10 & alex caffi & arrows-ford & 63 & + 1 lap & 17 & none \\
7 & 8 & 4 & jean alesi & tyrrell-ford & 63 & + 1 lap & 6 & none \\
8 & 9 & 8 & stefano modena & brabham-judd & 62 & + 2 laps & 20 & none \\
9 & 10 & 25 & nicola larini & ligier-ford & 62 & + 2 laps & 21 & none \\
10 & 11 & 21 & emanuele pirro & dallara-ford & 62 & + 2 laps & 19 & none \\
11 & 12 & 24 & paolo barilla & minardi-ford & 62 & + 2 laps & 24 & none \\
12 & 13 & 26 & philippe alliot & ligier-ford & 61 & + 3 laps & 22 & none \\
13 & 14 & 28 & gerhard berger & mclaren-honda & 60 & throttle & 3 & none \\
14 & ret & 2 & nigel mansell & ferrari & 55 & gearbox & 1 & none \\
15 & ret & 16 & ivan capelli & leyton house-judd & 48 & fuel leak & 10 & none \\
16 & ret & 12 & martin donnelly & lotus-lamborghini & 48 & engine & 14 & none \\
17 & ret & 11 & derek warwick & lotus-lamborghini & 46 & engine & 16 & none \\
18 & ret & 17 & gabriele tarquini & ags-ford & 41 & engine & 26 & none \\
19 & ret & 9 & michele alboreto & arrows-ford & 37 & engine & 25 & none \\
20 & ret & 6 & riccardo patrese & williams-renault & 26 & chassis & 7 & none \\
21 & ret & 3 & satoru nakajima & tyrrell-ford & 20 & electrical & 12 & none \\
22 & ret & 19 & alessandro nannini & benetton-ford & 15 & collision & 13 & none \\
23 & ret & 22 & andrea de cesaris & dallara-ford & 12 & fuel system & 23 & none \\
24 & ret & 23 & pierluigi martini & minardi-ford & 3 & alternator & 18 & none \\
25 & dns & 15 & mauricio gugelmin & leyton house-judd & 0 & fuel pump & 15 & none \\
26 & dnq & 14 & olivier grouillard & osella-ford & none & none & none & none \\
27 & dnq & 7 & david brabham & brabham-judd & none & none & none & none \\
28 & dnq & 36 & jj lehto & onyx-ford & none & none & none & none \\
29 & dnq & 35 & gregor foitek & onyx-ford & none & none & none & none \\
30 & dnpq & 33 & roberto moreno & eurobrun-judd & none & none & none & none \\
31 & dnpq & 18 & yannick dalmas & ags-ford & none & none & none & none \\
32 & dnpq & 34 & claudio langes & eurobrun-judd & none & none & none & none \\
33 & dnpq & 31 & bertrand gachot & coloni-subaru & none & none & none & none \\
34 & dnpq & 39 & bruno giacomelli & life & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "pos" ) \\
\midrule
0 & 5 \\
\bottomrule
\end{tabular}
| select count ( pos ) where laps < 3 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>no</th>
<th>driver</th>
<th>constructor</th>
<th>laps</th>
<th>time/retired</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1</td>
<td>alain prost</td>
<td>ferrari</td>
<td>64</td>
<td>1:18:30.999</td>
<td>5</td>
<td>9</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>5</td>
<td>thierry boutsen</td>
<td>williams-renault</td>
<td>64</td>
<td>+ 39.092</td>
<td>4</td>
<td>6</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>27</td>
<td>ayrton senna</td>
<td>mclaren-honda</td>
<td>64</td>
<td>+ 43.088</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>29</td>
<td>eric bernard</td>
<td>lola-lamborghini</td>
<td>64</td>
<td>+ 1:15.302</td>
<td>8</td>
<td>3</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>20</td>
<td>nelson piquet</td>
<td>benetton-ford</td>
<td>64</td>
<td>+ 1:24.003</td>
<td>11</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>30</td>
<td>aguri suzuki</td>
<td>lola-lamborghini</td>
<td>63</td>
<td>+ 1 lap</td>
<td>9</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>10</td>
<td>alex caffi</td>
<td>arrows-ford</td>
<td>63</td>
<td>+ 1 lap</td>
<td>17</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>4</td>
<td>jean alesi</td>
<td>tyrrell-ford</td>
<td>63</td>
<td>+ 1 lap</td>
<td>6</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>8</td>
<td>stefano modena</td>
<td>brabham-judd</td>
<td>62</td>
<td>+ 2 laps</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>25</td>
<td>nicola larini</td>
<td>ligier-ford</td>
<td>62</td>
<td>+ 2 laps</td>
<td>21</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>21</td>
<td>emanuele pirro</td>
<td>dallara-ford</td>
<td>62</td>
<td>+ 2 laps</td>
<td>19</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>24</td>
<td>paolo barilla</td>
<td>minardi-ford</td>
<td>62</td>
<td>+ 2 laps</td>
<td>24</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>26</td>
<td>philippe alliot</td>
<td>ligier-ford</td>
<td>61</td>
<td>+ 3 laps</td>
<td>22</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>28</td>
<td>gerhard berger</td>
<td>mclaren-honda</td>
<td>60</td>
<td>throttle</td>
<td>3</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>ret</td>
<td>2</td>
<td>nigel mansell</td>
<td>ferrari</td>
<td>55</td>
<td>gearbox</td>
<td>1</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>ret</td>
<td>16</td>
<td>ivan capelli</td>
<td>leyton house-judd</td>
<td>48</td>
<td>fuel leak</td>
<td>10</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>ret</td>
<td>12</td>
<td>martin donnelly</td>
<td>lotus-lamborghini</td>
<td>48</td>
<td>engine</td>
<td>14</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>ret</td>
<td>11</td>
<td>derek warwick</td>
<td>lotus-lamborghini</td>
<td>46</td>
<td>engine</td>
<td>16</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>ret</td>
<td>17</td>
<td>gabriele tarquini</td>
<td>ags-ford</td>
<td>41</td>
<td>engine</td>
<td>26</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>ret</td>
<td>9</td>
<td>michele alboreto</td>
<td>arrows-ford</td>
<td>37</td>
<td>engine</td>
<td>25</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>ret</td>
<td>6</td>
<td>riccardo patrese</td>
<td>williams-renault</td>
<td>26</td>
<td>chassis</td>
<td>7</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>ret</td>
<td>3</td>
<td>satoru nakajima</td>
<td>tyrrell-ford</td>
<td>20</td>
<td>electrical</td>
<td>12</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>ret</td>
<td>19</td>
<td>alessandro nannini</td>
<td>benetton-ford</td>
<td>15</td>
<td>collision</td>
<td>13</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>ret</td>
<td>22</td>
<td>andrea de cesaris</td>
<td>dallara-ford</td>
<td>12</td>
<td>fuel system</td>
<td>23</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>ret</td>
<td>23</td>
<td>pierluigi martini</td>
<td>minardi-ford</td>
<td>3</td>
<td>alternator</td>
<td>18</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>dns</td>
<td>15</td>
<td>mauricio gugelmin</td>
<td>leyton house-judd</td>
<td>0</td>
<td>fuel pump</td>
<td>15</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>dnq</td>
<td>14</td>
<td>olivier grouillard</td>
<td>osella-ford</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>dnq</td>
<td>7</td>
<td>david brabham</td>
<td>brabham-judd</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>dnq</td>
<td>36</td>
<td>jj lehto</td>
<td>onyx-ford</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>dnq</td>
<td>35</td>
<td>gregor foitek</td>
<td>onyx-ford</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>dnpq</td>
<td>33</td>
<td>roberto moreno</td>
<td>eurobrun-judd</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>dnpq</td>
<td>18</td>
<td>yannick dalmas</td>
<td>ags-ford</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>32</th>
<td>dnpq</td>
<td>34</td>
<td>claudio langes</td>
<td>eurobrun-judd</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>dnpq</td>
<td>31</td>
<td>bertrand gachot</td>
<td>coloni-subaru</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>34</th>
<td>dnpq</td>
<td>39</td>
<td>bruno giacomelli</td>
<td>life</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>count ( "pos" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>5</td>
</tr>
</tbody>
</table> | select count ( pos ) where laps < 3 <table_name> : table | | pos | no | driver | constructor | laps | time/retired | grid | points |
|---:|:------|-----:|:-------------------|:------------------|:-------|:---------------|:-------|:---------|
| 0 | 1 | 1 | alain prost | ferrari | 64 | 1:18:30.999 | 5 | 9 |
| 1 | 2 | 5 | thierry boutsen | williams-renault | 64 | + 39.092 | 4 | 6 |
| 2 | 3 | 27 | ayrton senna | mclaren-honda | 64 | + 43.088 | 2 | 4 |
| 3 | 4 | 29 | eric bernard | lola-lamborghini | 64 | + 1:15.302 | 8 | 3 |
| 4 | 5 | 20 | nelson piquet | benetton-ford | 64 | + 1:24.003 | 11 | 2 |
| 5 | 6 | 30 | aguri suzuki | lola-lamborghini | 63 | + 1 lap | 9 | 1 |
| 6 | 7 | 10 | alex caffi | arrows-ford | 63 | + 1 lap | 17 | none |
| 7 | 8 | 4 | jean alesi | tyrrell-ford | 63 | + 1 lap | 6 | none |
| 8 | 9 | 8 | stefano modena | brabham-judd | 62 | + 2 laps | 20 | none |
| 9 | 10 | 25 | nicola larini | ligier-ford | 62 | + 2 laps | 21 | none |
| 10 | 11 | 21 | emanuele pirro | dallara-ford | 62 | + 2 laps | 19 | none |
| 11 | 12 | 24 | paolo barilla | minardi-ford | 62 | + 2 laps | 24 | none |
| 12 | 13 | 26 | philippe alliot | ligier-ford | 61 | + 3 laps | 22 | none |
| 13 | 14 | 28 | gerhard berger | mclaren-honda | 60 | throttle | 3 | none |
| 14 | ret | 2 | nigel mansell | ferrari | 55 | gearbox | 1 | none |
| 15 | ret | 16 | ivan capelli | leyton house-judd | 48 | fuel leak | 10 | none |
| 16 | ret | 12 | martin donnelly | lotus-lamborghini | 48 | engine | 14 | none |
| 17 | ret | 11 | derek warwick | lotus-lamborghini | 46 | engine | 16 | none |
| 18 | ret | 17 | gabriele tarquini | ags-ford | 41 | engine | 26 | none |
| 19 | ret | 9 | michele alboreto | arrows-ford | 37 | engine | 25 | none |
| 20 | ret | 6 | riccardo patrese | williams-renault | 26 | chassis | 7 | none |
| 21 | ret | 3 | satoru nakajima | tyrrell-ford | 20 | electrical | 12 | none |
| 22 | ret | 19 | alessandro nannini | benetton-ford | 15 | collision | 13 | none |
| 23 | ret | 22 | andrea de cesaris | dallara-ford | 12 | fuel system | 23 | none |
| 24 | ret | 23 | pierluigi martini | minardi-ford | 3 | alternator | 18 | none |
| 25 | dns | 15 | mauricio gugelmin | leyton house-judd | 0 | fuel pump | 15 | none |
| 26 | dnq | 14 | olivier grouillard | osella-ford | none | none | none | none |
| 27 | dnq | 7 | david brabham | brabham-judd | none | none | none | none |
| 28 | dnq | 36 | jj lehto | onyx-ford | none | none | none | none |
| 29 | dnq | 35 | gregor foitek | onyx-ford | none | none | none | none |
| 30 | dnpq | 33 | roberto moreno | eurobrun-judd | none | none | none | none |
| 31 | dnpq | 18 | yannick dalmas | ags-ford | none | none | none | none |
| 32 | dnpq | 34 | claudio langes | eurobrun-judd | none | none | none | none |
| 33 | dnpq | 31 | bertrand gachot | coloni-subaru | none | none | none | none |
| 34 | dnpq | 39 | bruno giacomelli | life | none | none | none | none | | | | count ( "pos" ) |
|---:|------------------:|
| 0 | 5 | | [
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select runner(s)-up where no. = 1 col : no. | date | tournament | winning score | margin of victory | runner(s)-up row 1 : 1 | 2002-11-03 00:00:00 | philip morris k.k. championship | -19 (65-67-67-70=269) | 2 strokes | toshimitsu izawa row 2 : 2 | 2003-08-10 00:00:00 | sun chlorella classic | -8 (71-73-68-68=280) | 1 stroke | daisuke maruyama, taichi teshima row 3 : 3 | 2004-04-25 00:00:00 | tsuruya open | -9 (64-73-69-69=275) | 2 strokes | keiichiro fukabori, scott laycock, tatsuya mitsuhashi, taichi teshima, shinichi yokota row 4 : 4 | 2004-06-26 00:00:00 | gateway to the open mizuno open | -14 (67-68-70-69=274) | playoff | hiroaki iijima row 5 : 5 | 2006-04-23 00:00:00 | tsuruya open | -11 (70-68-66-69=273) | 2 strokes | mamo osanai row 6 : 6 | 2007-04-22 00:00:00 | tsuruya open | -16 (67-65-68-68=268) | 2 strokes | masahiro kuramoto, hirofumi miyase, takuya taniguchi row 7 : 7 | 2007-11-11 00:00:00 | mitsui sumitomo visa taiheiyo masters | -13 (67-68-69-70=274) | 5 strokes | toru taniguchi row 8 : 8 | 2007-12-02 00:00:00 | golf nippon series jt cup | -11 (70-70-68-61=261) | 1 stroke | toru taniguchi row 9 : 9 | 2010-09-26 00:00:00 | asia-pacific panasonic open (co-sanctioned by the asian tour) | -6 (71-70-66=207) | 1 stroke | ryuichi oda row 10 : 10 | 2011-05-01 00:00:00 | the crowns | -9 (67-66-68-70=271) | playoff | jang ik-jae row 11 : 11 | 2012-04-15 00:00:00 | token homemate cup | -15 (68-69-70-62=269) | 2 strokes | ryuichi oda row 12 : 12 | 2012-07-29 00:00:00 | sun chlorella classic | -15 (69-66-68-70=273) | 2 strokes | lee seong-ho, hideki matsuyama (am), yoshinobu tsukada row 13 : 13 | 2013-06-30 00:00:00 | gateway to the open mizuno open | -19 (67-66-68-68=269) | 3 strokes | kim kyung-tae | col : runner(s)-up row 1 : toshimitsu izawa | select runner(s)-up where no. = 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& no. & date & tournament & winning score & margin of victory & runner(s)-up \\
\midrule
0 & 1 & 2002-11-03 00:00:00 & philip morris k.k. championship & -19 (65-67-67-70=269) & 2 strokes & toshimitsu izawa \\
1 & 2 & 2003-08-10 00:00:00 & sun chlorella classic & -8 (71-73-68-68=280) & 1 stroke & daisuke maruyama, taichi teshima \\
2 & 3 & 2004-04-25 00:00:00 & tsuruya open & -9 (64-73-69-69=275) & 2 strokes & keiichiro fukabori, scott laycock, tatsuya mitsuhashi, taichi teshima, shinichi yokota \\
3 & 4 & 2004-06-26 00:00:00 & gateway to the open mizuno open & -14 (67-68-70-69=274) & playoff & hiroaki iijima \\
4 & 5 & 2006-04-23 00:00:00 & tsuruya open & -11 (70-68-66-69=273) & 2 strokes & mamo osanai \\
5 & 6 & 2007-04-22 00:00:00 & tsuruya open & -16 (67-65-68-68=268) & 2 strokes & masahiro kuramoto, hirofumi miyase, takuya taniguchi \\
6 & 7 & 2007-11-11 00:00:00 & mitsui sumitomo visa taiheiyo masters & -13 (67-68-69-70=274) & 5 strokes & toru taniguchi \\
7 & 8 & 2007-12-02 00:00:00 & golf nippon series jt cup & -11 (70-70-68-61=261) & 1 stroke & toru taniguchi \\
8 & 9 & 2010-09-26 00:00:00 & asia-pacific panasonic open (co-sanctioned by the asian tour) & -6 (71-70-66=207) & 1 stroke & ryuichi oda \\
9 & 10 & 2011-05-01 00:00:00 & the crowns & -9 (67-66-68-70=271) & playoff & jang ik-jae \\
10 & 11 & 2012-04-15 00:00:00 & token homemate cup & -15 (68-69-70-62=269) & 2 strokes & ryuichi oda \\
11 & 12 & 2012-07-29 00:00:00 & sun chlorella classic & -15 (69-66-68-70=273) & 2 strokes & lee seong-ho, hideki matsuyama (am), yoshinobu tsukada \\
12 & 13 & 2013-06-30 00:00:00 & gateway to the open mizuno open & -19 (67-66-68-68=269) & 3 strokes & kim kyung-tae \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& runner(s)-up \\
\midrule
0 & toshimitsu izawa \\
\bottomrule
\end{tabular}
| select runner(s)-up where no. = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
<th>date</th>
<th>tournament</th>
<th>winning score</th>
<th>margin of victory</th>
<th>runner(s)-up</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2002-11-03 00:00:00</td>
<td>philip morris k.k. championship</td>
<td>-19 (65-67-67-70=269)</td>
<td>2 strokes</td>
<td>toshimitsu izawa</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2003-08-10 00:00:00</td>
<td>sun chlorella classic</td>
<td>-8 (71-73-68-68=280)</td>
<td>1 stroke</td>
<td>daisuke maruyama, taichi teshima</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2004-04-25 00:00:00</td>
<td>tsuruya open</td>
<td>-9 (64-73-69-69=275)</td>
<td>2 strokes</td>
<td>keiichiro fukabori, scott laycock, tatsuya mitsuhashi, taichi teshima, shinichi yokota</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2004-06-26 00:00:00</td>
<td>gateway to the open mizuno open</td>
<td>-14 (67-68-70-69=274)</td>
<td>playoff</td>
<td>hiroaki iijima</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2006-04-23 00:00:00</td>
<td>tsuruya open</td>
<td>-11 (70-68-66-69=273)</td>
<td>2 strokes</td>
<td>mamo osanai</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2007-04-22 00:00:00</td>
<td>tsuruya open</td>
<td>-16 (67-65-68-68=268)</td>
<td>2 strokes</td>
<td>masahiro kuramoto, hirofumi miyase, takuya taniguchi</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2007-11-11 00:00:00</td>
<td>mitsui sumitomo visa taiheiyo masters</td>
<td>-13 (67-68-69-70=274)</td>
<td>5 strokes</td>
<td>toru taniguchi</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2007-12-02 00:00:00</td>
<td>golf nippon series jt cup</td>
<td>-11 (70-70-68-61=261)</td>
<td>1 stroke</td>
<td>toru taniguchi</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2010-09-26 00:00:00</td>
<td>asia-pacific panasonic open (co-sanctioned by the asian tour)</td>
<td>-6 (71-70-66=207)</td>
<td>1 stroke</td>
<td>ryuichi oda</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2011-05-01 00:00:00</td>
<td>the crowns</td>
<td>-9 (67-66-68-70=271)</td>
<td>playoff</td>
<td>jang ik-jae</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2012-04-15 00:00:00</td>
<td>token homemate cup</td>
<td>-15 (68-69-70-62=269)</td>
<td>2 strokes</td>
<td>ryuichi oda</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>2012-07-29 00:00:00</td>
<td>sun chlorella classic</td>
<td>-15 (69-66-68-70=273)</td>
<td>2 strokes</td>
<td>lee seong-ho, hideki matsuyama (am), yoshinobu tsukada</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>2013-06-30 00:00:00</td>
<td>gateway to the open mizuno open</td>
<td>-19 (67-66-68-68=269)</td>
<td>3 strokes</td>
<td>kim kyung-tae</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>runner(s)-up</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>toshimitsu izawa</td>
</tr>
</tbody>
</table> | select runner(s)-up where no. = 1 <table_name> : table | | no. | date | tournament | winning score | margin of victory | runner(s)-up |
|---:|------:|:--------------------|:--------------------------------------------------------------|:----------------------|:--------------------|:---------------------------------------------------------------------------------------|
| 0 | 1 | 2002-11-03 00:00:00 | philip morris k.k. championship | -19 (65-67-67-70=269) | 2 strokes | toshimitsu izawa |
| 1 | 2 | 2003-08-10 00:00:00 | sun chlorella classic | -8 (71-73-68-68=280) | 1 stroke | daisuke maruyama, taichi teshima |
| 2 | 3 | 2004-04-25 00:00:00 | tsuruya open | -9 (64-73-69-69=275) | 2 strokes | keiichiro fukabori, scott laycock, tatsuya mitsuhashi, taichi teshima, shinichi yokota |
| 3 | 4 | 2004-06-26 00:00:00 | gateway to the open mizuno open | -14 (67-68-70-69=274) | playoff | hiroaki iijima |
| 4 | 5 | 2006-04-23 00:00:00 | tsuruya open | -11 (70-68-66-69=273) | 2 strokes | mamo osanai |
| 5 | 6 | 2007-04-22 00:00:00 | tsuruya open | -16 (67-65-68-68=268) | 2 strokes | masahiro kuramoto, hirofumi miyase, takuya taniguchi |
| 6 | 7 | 2007-11-11 00:00:00 | mitsui sumitomo visa taiheiyo masters | -13 (67-68-69-70=274) | 5 strokes | toru taniguchi |
| 7 | 8 | 2007-12-02 00:00:00 | golf nippon series jt cup | -11 (70-70-68-61=261) | 1 stroke | toru taniguchi |
| 8 | 9 | 2010-09-26 00:00:00 | asia-pacific panasonic open (co-sanctioned by the asian tour) | -6 (71-70-66=207) | 1 stroke | ryuichi oda |
| 9 | 10 | 2011-05-01 00:00:00 | the crowns | -9 (67-66-68-70=271) | playoff | jang ik-jae |
| 10 | 11 | 2012-04-15 00:00:00 | token homemate cup | -15 (68-69-70-62=269) | 2 strokes | ryuichi oda |
| 11 | 12 | 2012-07-29 00:00:00 | sun chlorella classic | -15 (69-66-68-70=273) | 2 strokes | lee seong-ho, hideki matsuyama (am), yoshinobu tsukada |
| 12 | 13 | 2013-06-30 00:00:00 | gateway to the open mizuno open | -19 (67-66-68-68=269) | 3 strokes | kim kyung-tae | | | | runner(s)-up |
|---:|:-----------------|
| 0 | toshimitsu izawa | | [
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select count ( * ) where wrestlers = 'ultimo gladiador and ultimo vampiro' col : # | wrestlers | reign | date | days held | location | event | notes row 1 : 1 | los perros del mal (bestia 666 and x-fly) | 1 | 2010-11-28 00:00:00 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma i and trauma ii) in the final of an eight team tournament to become the inaugural champions row 2 : none | vacated | none | 2011-10-05 00:00:00 | none | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple occasions defended the title without iwl's authorization, the promotion announced that they would no longer recognize the title and would have it replaced by the new iwl international tag team championship row 3 : 2 | scorpio, jr. and super crazy | 1 | 2011-10-22 00:00:00 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title row 4 : none | vacated | none | 2011-05-01 00:00:00 | none | none | announced on iwl official's facebook | none row 5 : 3 | ultimo gladiador and ultimo vampiro | 1 | 2013-06-16 00:00:00 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title row 6 : none | vacated | none | 2011-11-05 00:00:00 | none | none | the iwl explained that ultimo gladiador its share some days earlier gave back to the title, so declared the title vacant | none row 7 : 4 | dinamic black & fresero jr | 1 | 2013-11-05 00:00:00 | 231 | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo vampiro to win the vacant title | col : count ( "*" ) row 1 : 1 | select count ( * ) where wrestlers = 'ultimo gladiador and ultimo vampiro' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& # & wrestlers & reign & date & days held & location & event & notes \\
\midrule
0 & 1 & los perros del mal (bestia 666 and x-fly) & 1 & 2010-11-28 00:00:00 & 311 & cuautitlan izcalli, state of mexico & iwl house show & los perros del mal defeated los traumas (trauma i and trauma ii) in the final of an eight team tournament to become the inaugural champions \\
1 & none & vacated & none & 2011-10-05 00:00:00 & none & tlalnepantla, state of mexico & announced on iwl official's facebook & after bestia 666 and x-fly had on multiple occasions defended the title without iwl's authorization, the promotion announced that they would no longer recognize the title and would have it replaced by the new iwl international tag team championship \\
2 & 2 & scorpio, jr. and super crazy & 1 & 2011-10-22 00:00:00 & 580 & tlalnepantla, state of mexico & iwl oktoberfest & scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title \\
3 & none & vacated & none & 2011-05-01 00:00:00 & none & none & announced on iwl official's facebook & none \\
4 & 3 & ultimo gladiador and ultimo vampiro & 1 & 2013-06-16 00:00:00 & 145 & huehuetoca, state of mexico & iwl oktoberfest & defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title \\
5 & none & vacated & none & 2011-11-05 00:00:00 & none & none & the iwl explained that ultimo gladiador its share some days earlier gave back to the title, so declared the title vacant & none \\
6 & 4 & dinamic black & fresero jr & 1 & 2013-11-05 00:00:00 & 231 & hidalgo, state of mexico & live event & defeated mascara jr. & ultimo vampiro to win the vacant title \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where wrestlers = 'ultimo gladiador and ultimo vampiro' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>wrestlers</th>
<th>reign</th>
<th>date</th>
<th>days held</th>
<th>location</th>
<th>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>los perros del mal (bestia 666 and x-fly)</td>
<td>1</td>
<td>2010-11-28 00:00:00</td>
<td>311</td>
<td>cuautitlan izcalli, state of mexico</td>
<td>iwl house show</td>
<td>los perros del mal defeated los traumas (trauma i and trauma ii) in the final of an eight team tournament to become the inaugural champions</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>vacated</td>
<td>none</td>
<td>2011-10-05 00:00:00</td>
<td>none</td>
<td>tlalnepantla, state of mexico</td>
<td>announced on iwl official's facebook</td>
<td>after bestia 666 and x-fly had on multiple occasions defended the title without iwl's authorization, the promotion announced that they would no longer recognize the title and would have it replaced by the new iwl international tag team championship</td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>scorpio, jr. and super crazy</td>
<td>1</td>
<td>2011-10-22 00:00:00</td>
<td>580</td>
<td>tlalnepantla, state of mexico</td>
<td>iwl oktoberfest</td>
<td>scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title</td>
</tr>
<tr>
<th>3</th>
<td>none</td>
<td>vacated</td>
<td>none</td>
<td>2011-05-01 00:00:00</td>
<td>none</td>
<td>none</td>
<td>announced on iwl official's facebook</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>3</td>
<td>ultimo gladiador and ultimo vampiro</td>
<td>1</td>
<td>2013-06-16 00:00:00</td>
<td>145</td>
<td>huehuetoca, state of mexico</td>
<td>iwl oktoberfest</td>
<td>defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title</td>
</tr>
<tr>
<th>5</th>
<td>none</td>
<td>vacated</td>
<td>none</td>
<td>2011-11-05 00:00:00</td>
<td>none</td>
<td>none</td>
<td>the iwl explained that ultimo gladiador its share some days earlier gave back to the title, so declared the title vacant</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>dinamic black & fresero jr</td>
<td>1</td>
<td>2013-11-05 00:00:00</td>
<td>231</td>
<td>hidalgo, state of mexico</td>
<td>live event</td>
<td>defeated mascara jr. & ultimo vampiro to win the vacant title</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 wrestlers = 'ultimo gladiador and ultimo vampiro' <table_name> : table | | # | wrestlers | reign | date | days held | location | event | notes |
|---:|:-----|:------------------------------------------|:--------|:--------------------|:------------|:------------------------------------|:-------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 1 | los perros del mal (bestia 666 and x-fly) | 1 | 2010-11-28 00:00:00 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma i and trauma ii) in the final of an eight team tournament to become the inaugural champions |
| 1 | none | vacated | none | 2011-10-05 00:00:00 | none | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple occasions defended the title without iwl's authorization, the promotion announced that they would no longer recognize the title and would have it replaced by the new iwl international tag team championship |
| 2 | 2 | scorpio, jr. and super crazy | 1 | 2011-10-22 00:00:00 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title |
| 3 | none | vacated | none | 2011-05-01 00:00:00 | none | none | announced on iwl official's facebook | none |
| 4 | 3 | ultimo gladiador and ultimo vampiro | 1 | 2013-06-16 00:00:00 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title |
| 5 | none | vacated | none | 2011-11-05 00:00:00 | none | none | the iwl explained that ultimo gladiador its share some days earlier gave back to the title, so declared the title vacant | none |
| 6 | 4 | dinamic black & fresero jr | 1 | 2013-11-05 00:00:00 | 231 | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo vampiro to win the vacant title | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( * ) where district = 'gros islet' col : # | district | land area (km2) | population (2010 census) | density (persons/km2) row 1 : 1 | anse la raye | 30.9 | 6247 | 210 row 2 : 2 | praslin | 16.0 | 2044 | 119 row 3 : 3 | castries | 79.5 | 65656 | 776 row 4 : 4 | choiseul | 31.3 | 6098 | 206 row 5 : 5 | dennery | 69.7 | 12599 | 182 row 6 : 6 | forest reserve | 78.0 | 0 | 0 row 7 : 7 | gros islet | 101.5 | 25210 | 196 row 8 : 8 | laborie | 37.8 | 6701 | 210 row 9 : 9 | micoud | 77.7 | 16284 | 220 row 10 : 10 | soufriere | 50.5 | 8472 | 144 row 11 : 11 | vieux fort | 43.8 | 16284 | 371 row 12 : none | saint lucia | 608.7 | 165595 | 256 | col : count ( "*" ) row 1 : 1 | select count ( * ) where district = 'gros islet' <table_name> : table \begin{tabular}{llllll}
\toprule
& # & district & land area (km2) & population (2010 census) & density (persons/km2) \\
\midrule
0 & 1 & anse la raye & 30.9 & 6247 & 210 \\
1 & 2 & praslin & 16.0 & 2044 & 119 \\
2 & 3 & castries & 79.5 & 65656 & 776 \\
3 & 4 & choiseul & 31.3 & 6098 & 206 \\
4 & 5 & dennery & 69.7 & 12599 & 182 \\
5 & 6 & forest reserve & 78.0 & 0 & 0 \\
6 & 7 & gros islet & 101.5 & 25210 & 196 \\
7 & 8 & laborie & 37.8 & 6701 & 210 \\
8 & 9 & micoud & 77.7 & 16284 & 220 \\
9 & 10 & soufriere & 50.5 & 8472 & 144 \\
10 & 11 & vieux fort & 43.8 & 16284 & 371 \\
11 & none & saint lucia & 608.7 & 165595 & 256 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where district = 'gros islet' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>district</th>
<th>land area (km2)</th>
<th>population (2010 census)</th>
<th>density (persons/km2)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>anse la raye</td>
<td>30.9</td>
<td>6247</td>
<td>210</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>praslin</td>
<td>16.0</td>
<td>2044</td>
<td>119</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>castries</td>
<td>79.5</td>
<td>65656</td>
<td>776</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>choiseul</td>
<td>31.3</td>
<td>6098</td>
<td>206</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>dennery</td>
<td>69.7</td>
<td>12599</td>
<td>182</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>forest reserve</td>
<td>78.0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>gros islet</td>
<td>101.5</td>
<td>25210</td>
<td>196</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>laborie</td>
<td>37.8</td>
<td>6701</td>
<td>210</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>micoud</td>
<td>77.7</td>
<td>16284</td>
<td>220</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>soufriere</td>
<td>50.5</td>
<td>8472</td>
<td>144</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>vieux fort</td>
<td>43.8</td>
<td>16284</td>
<td>371</td>
</tr>
<tr>
<th>11</th>
<td>none</td>
<td>saint lucia</td>
<td>608.7</td>
<td>165595</td>
<td>256</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 district = 'gros islet' <table_name> : table | | # | district | land area (km2) | population (2010 census) | density (persons/km2) |
|---:|:-----|:---------------|------------------:|---------------------------:|------------------------:|
| 0 | 1 | anse la raye | 30.9 | 6247 | 210 |
| 1 | 2 | praslin | 16 | 2044 | 119 |
| 2 | 3 | castries | 79.5 | 65656 | 776 |
| 3 | 4 | choiseul | 31.3 | 6098 | 206 |
| 4 | 5 | dennery | 69.7 | 12599 | 182 |
| 5 | 6 | forest reserve | 78 | 0 | 0 |
| 6 | 7 | gros islet | 101.5 | 25210 | 196 |
| 7 | 8 | laborie | 37.8 | 6701 | 210 |
| 8 | 9 | micoud | 77.7 | 16284 | 220 |
| 9 | 10 | soufriere | 50.5 | 8472 | 144 |
| 10 | 11 | vieux fort | 43.8 | 16284 | 371 |
| 11 | none | saint lucia | 608.7 | 165595 | 256 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( * ) where year < 45 col : year | team record w | team record l | playoffs row 1 : 2001 | 7 | 2 | 3rd qualifier, region 2 row 2 : 2002 | 8 | 1 | 2nd qualifier, region 2 row 3 : 2003 | 8 | 1 | 2nd qualifier, region 2 row 4 : 2004 | 7 | 2 | 2nd qualifier, region 2 row 5 : 2005 | 3 | 5 | did not make playoffs row 6 : 2006 | 5 | 4 | 4th qualifier, region 2 row 7 : 2007 | 13 | 1 | 1st qualifier, region 2 row 8 : 2008 | 7 | 4 | 2nd qualifier, region 2 row 9 : 2009 | 5 | 5 | did not make playoffs row 10 : 2010 | 5 | 5 | did not make playoffs | col : count ( "*" ) row 1 : 10 | select count ( * ) where year < 45 <table_name> : table \begin{tabular}{lllll}
\toprule
& year & team record w & team record l & playoffs \\
\midrule
0 & 2001 & 7 & 2 & 3rd qualifier, region 2 \\
1 & 2002 & 8 & 1 & 2nd qualifier, region 2 \\
2 & 2003 & 8 & 1 & 2nd qualifier, region 2 \\
3 & 2004 & 7 & 2 & 2nd qualifier, region 2 \\
4 & 2005 & 3 & 5 & did not make playoffs \\
5 & 2006 & 5 & 4 & 4th qualifier, region 2 \\
6 & 2007 & 13 & 1 & 1st qualifier, region 2 \\
7 & 2008 & 7 & 4 & 2nd qualifier, region 2 \\
8 & 2009 & 5 & 5 & did not make playoffs \\
9 & 2010 & 5 & 5 & did not make playoffs \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 10 \\
\bottomrule
\end{tabular}
| select count ( * ) where year < 45 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>team record w</th>
<th>team record l</th>
<th>playoffs</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001</td>
<td>7</td>
<td>2</td>
<td>3rd qualifier, region 2</td>
</tr>
<tr>
<th>1</th>
<td>2002</td>
<td>8</td>
<td>1</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>2</th>
<td>2003</td>
<td>8</td>
<td>1</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>3</th>
<td>2004</td>
<td>7</td>
<td>2</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>4</th>
<td>2005</td>
<td>3</td>
<td>5</td>
<td>did not make playoffs</td>
</tr>
<tr>
<th>5</th>
<td>2006</td>
<td>5</td>
<td>4</td>
<td>4th qualifier, region 2</td>
</tr>
<tr>
<th>6</th>
<td>2007</td>
<td>13</td>
<td>1</td>
<td>1st qualifier, region 2</td>
</tr>
<tr>
<th>7</th>
<td>2008</td>
<td>7</td>
<td>4</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>8</th>
<td>2009</td>
<td>5</td>
<td>5</td>
<td>did not make playoffs</td>
</tr>
<tr>
<th>9</th>
<td>2010</td>
<td>5</td>
<td>5</td>
<td>did not make playoffs</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>10</td>
</tr>
</tbody>
</table> | select count ( * ) where year < 45 <table_name> : table | | year | team record w | team record l | playoffs |
|---:|-------:|----------------:|----------------:|:------------------------|
| 0 | 2001 | 7 | 2 | 3rd qualifier, region 2 |
| 1 | 2002 | 8 | 1 | 2nd qualifier, region 2 |
| 2 | 2003 | 8 | 1 | 2nd qualifier, region 2 |
| 3 | 2004 | 7 | 2 | 2nd qualifier, region 2 |
| 4 | 2005 | 3 | 5 | did not make playoffs |
| 5 | 2006 | 5 | 4 | 4th qualifier, region 2 |
| 6 | 2007 | 13 | 1 | 1st qualifier, region 2 |
| 7 | 2008 | 7 | 4 | 2nd qualifier, region 2 |
| 8 | 2009 | 5 | 5 | did not make playoffs |
| 9 | 2010 | 5 | 5 | did not make playoffs | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 10 | | [
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select abs ( position - notes ) where year = 1998 col : year | competition | venue | position | notes row 1 : 1997 | european u23 championships | turku, finland | 1st | 200 m row 2 : 1997 | world championships | athens, greece | 3rd | 4x100m relay row 3 : 1998 | european championships | budapest, hungary | 3rd | 200 metres row 4 : 1998 | european championships | budapest, hungary | 1st | 4x100m relay row 5 : 1998 | commonwealth games | kuala lumpur, malaysia | 1st | 200 metres row 6 : 1998 | commonwealth games | kuala lumpur, malaysia | 1st | 4x100m relay row 7 : 2000 | european indoor championships | ghent, belgium | 3rd | 200 metres | col : "abs ( position - notes )" row 1 : abs ( position - notes ) row 2 : abs ( position - notes ) row 3 : abs ( position - notes ) row 4 : abs ( position - notes ) | select abs ( position - notes ) where year = 1998 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 1997 & european u23 championships & turku, finland & 1st & 200 m \\
1 & 1997 & world championships & athens, greece & 3rd & 4x100m relay \\
2 & 1998 & european championships & budapest, hungary & 3rd & 200 metres \\
3 & 1998 & european championships & budapest, hungary & 1st & 4x100m relay \\
4 & 1998 & commonwealth games & kuala lumpur, malaysia & 1st & 200 metres \\
5 & 1998 & commonwealth games & kuala lumpur, malaysia & 1st & 4x100m relay \\
6 & 2000 & european indoor championships & ghent, belgium & 3rd & 200 metres \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "abs ( position - notes )" \\
\midrule
0 & abs ( position - notes ) \\
1 & abs ( position - notes ) \\
2 & abs ( position - notes ) \\
3 & abs ( position - notes ) \\
\bottomrule
\end{tabular}
| select abs ( position - notes ) where year = 1998 <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>1997</td>
<td>european u23 championships</td>
<td>turku, finland</td>
<td>1st</td>
<td>200 m</td>
</tr>
<tr>
<th>1</th>
<td>1997</td>
<td>world championships</td>
<td>athens, greece</td>
<td>3rd</td>
<td>4x100m relay</td>
</tr>
<tr>
<th>2</th>
<td>1998</td>
<td>european championships</td>
<td>budapest, hungary</td>
<td>3rd</td>
<td>200 metres</td>
</tr>
<tr>
<th>3</th>
<td>1998</td>
<td>european championships</td>
<td>budapest, hungary</td>
<td>1st</td>
<td>4x100m relay</td>
</tr>
<tr>
<th>4</th>
<td>1998</td>
<td>commonwealth games</td>
<td>kuala lumpur, malaysia</td>
<td>1st</td>
<td>200 metres</td>
</tr>
<tr>
<th>5</th>
<td>1998</td>
<td>commonwealth games</td>
<td>kuala lumpur, malaysia</td>
<td>1st</td>
<td>4x100m relay</td>
</tr>
<tr>
<th>6</th>
<td>2000</td>
<td>european indoor championships</td>
<td>ghent, belgium</td>
<td>3rd</td>
<td>200 metres</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"abs ( position - notes )"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>abs ( position - notes )</td>
</tr>
<tr>
<th>1</th>
<td>abs ( position - notes )</td>
</tr>
<tr>
<th>2</th>
<td>abs ( position - notes )</td>
</tr>
<tr>
<th>3</th>
<td>abs ( position - notes )</td>
</tr>
</tbody>
</table> | select abs ( position - notes ) where year = 1998 <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:------------------------------|:-----------------------|:-----------|:-------------|
| 0 | 1997 | european u23 championships | turku, finland | 1st | 200 m |
| 1 | 1997 | world championships | athens, greece | 3rd | 4x100m relay |
| 2 | 1998 | european championships | budapest, hungary | 3rd | 200 metres |
| 3 | 1998 | european championships | budapest, hungary | 1st | 4x100m relay |
| 4 | 1998 | commonwealth games | kuala lumpur, malaysia | 1st | 200 metres |
| 5 | 1998 | commonwealth games | kuala lumpur, malaysia | 1st | 4x100m relay |
| 6 | 2000 | european indoor championships | ghent, belgium | 3rd | 200 metres | | | | "abs ( position - notes )" |
|---:|:-----------------------------|
| 0 | abs ( position - notes ) |
| 1 | abs ( position - notes ) |
| 2 | abs ( position - notes ) |
| 3 | abs ( position - notes ) | | [
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] |
select name where age = 27 col : name | age | hometown | occupation | culinary p.o.v. | eliminated row 1 : damaris phillips | 31 | louisville, ky | culinary teacher | "modern southern food" | winner row 2 : rodney henry | 47 | baltimore, md | pie shop owner | "pie style" | second place row 3 : russell jackson | 49 | san francisco, ca | underground chef | "seven culinary sins" | third place row 4 : stacey poon-kinney | 34 | san diego, ca | restaurant owner | "vintage with a modern twist" | week 10 row 5 : nikki dinki | 29 | new york, ny | food blogger/online host | "semi-vegetarian" / "meat on the side" | week 9 row 6 : chad rosenthal | 37 | ambler, pa | restaurant owner | "jewish bbq guy" | week 7 row 7 : chris hodgson | 26 | cleveland, oh | chef/restaurateur | "compassion for food" | week 6 row 8 : viet pham | 33 | salt lake city, ut | chef/restaurant owner | "the american dream" | week 5 row 9 : connie "lovely" jackson | 27 | los angeles, ca | caterer | "party on a plate" | week 4 & week 8(winner of star salvation) row 10 : danushka lysek | 37 | new york, ny | private chef/model | "your private chef" | week 3 row 11 : andres guillama | 26 | waynesville, nc | childhood obesity prevention coach | "teaching men to cook" | week 2 row 12 : daniela perez-reyes | 28 | haleiwa, hi | bartender/caterer | "peruvian princess" | week 1 | col : name row 1 : connie "lovely" jackson | select name where age = 27 <table_name> : table \begin{tabular}{lllllll}
\toprule
& name & age & hometown & occupation & culinary p.o.v. & eliminated \\
\midrule
0 & damaris phillips & 31 & louisville, ky & culinary teacher & "modern southern food" & winner \\
1 & rodney henry & 47 & baltimore, md & pie shop owner & "pie style" & second place \\
2 & russell jackson & 49 & san francisco, ca & underground chef & "seven culinary sins" & third place \\
3 & stacey poon-kinney & 34 & san diego, ca & restaurant owner & "vintage with a modern twist" & week 10 \\
4 & nikki dinki & 29 & new york, ny & food blogger/online host & "semi-vegetarian" / "meat on the side" & week 9 \\
5 & chad rosenthal & 37 & ambler, pa & restaurant owner & "jewish bbq guy" & week 7 \\
6 & chris hodgson & 26 & cleveland, oh & chef/restaurateur & "compassion for food" & week 6 \\
7 & viet pham & 33 & salt lake city, ut & chef/restaurant owner & "the american dream" & week 5 \\
8 & connie "lovely" jackson & 27 & los angeles, ca & caterer & "party on a plate" & week 4 & week 8(winner of star salvation) \\
9 & danushka lysek & 37 & new york, ny & private chef/model & "your private chef" & week 3 \\
10 & andres guillama & 26 & waynesville, nc & childhood obesity prevention coach & "teaching men to cook" & week 2 \\
11 & daniela perez-reyes & 28 & haleiwa, hi & bartender/caterer & "peruvian princess" & week 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& name \\
\midrule
0 & connie "lovely" jackson \\
\bottomrule
\end{tabular}
| select name where age = 27 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>age</th>
<th>hometown</th>
<th>occupation</th>
<th>culinary p.o.v.</th>
<th>eliminated</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>damaris phillips</td>
<td>31</td>
<td>louisville, ky</td>
<td>culinary teacher</td>
<td>"modern southern food"</td>
<td>winner</td>
</tr>
<tr>
<th>1</th>
<td>rodney henry</td>
<td>47</td>
<td>baltimore, md</td>
<td>pie shop owner</td>
<td>"pie style"</td>
<td>second place</td>
</tr>
<tr>
<th>2</th>
<td>russell jackson</td>
<td>49</td>
<td>san francisco, ca</td>
<td>underground chef</td>
<td>"seven culinary sins"</td>
<td>third place</td>
</tr>
<tr>
<th>3</th>
<td>stacey poon-kinney</td>
<td>34</td>
<td>san diego, ca</td>
<td>restaurant owner</td>
<td>"vintage with a modern twist"</td>
<td>week 10</td>
</tr>
<tr>
<th>4</th>
<td>nikki dinki</td>
<td>29</td>
<td>new york, ny</td>
<td>food blogger/online host</td>
<td>"semi-vegetarian" / "meat on the side"</td>
<td>week 9</td>
</tr>
<tr>
<th>5</th>
<td>chad rosenthal</td>
<td>37</td>
<td>ambler, pa</td>
<td>restaurant owner</td>
<td>"jewish bbq guy"</td>
<td>week 7</td>
</tr>
<tr>
<th>6</th>
<td>chris hodgson</td>
<td>26</td>
<td>cleveland, oh</td>
<td>chef/restaurateur</td>
<td>"compassion for food"</td>
<td>week 6</td>
</tr>
<tr>
<th>7</th>
<td>viet pham</td>
<td>33</td>
<td>salt lake city, ut</td>
<td>chef/restaurant owner</td>
<td>"the american dream"</td>
<td>week 5</td>
</tr>
<tr>
<th>8</th>
<td>connie "lovely" jackson</td>
<td>27</td>
<td>los angeles, ca</td>
<td>caterer</td>
<td>"party on a plate"</td>
<td>week 4 & week 8(winner of star salvation)</td>
</tr>
<tr>
<th>9</th>
<td>danushka lysek</td>
<td>37</td>
<td>new york, ny</td>
<td>private chef/model</td>
<td>"your private chef"</td>
<td>week 3</td>
</tr>
<tr>
<th>10</th>
<td>andres guillama</td>
<td>26</td>
<td>waynesville, nc</td>
<td>childhood obesity prevention coach</td>
<td>"teaching men to cook"</td>
<td>week 2</td>
</tr>
<tr>
<th>11</th>
<td>daniela perez-reyes</td>
<td>28</td>
<td>haleiwa, hi</td>
<td>bartender/caterer</td>
<td>"peruvian princess"</td>
<td>week 1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>connie "lovely" jackson</td>
</tr>
</tbody>
</table> | select name where age = 27 <table_name> : table | | name | age | hometown | occupation | culinary p.o.v. | eliminated |
|---:|:------------------------|------:|:-------------------|:-----------------------------------|:---------------------------------------|:------------------------------------------|
| 0 | damaris phillips | 31 | louisville, ky | culinary teacher | "modern southern food" | winner |
| 1 | rodney henry | 47 | baltimore, md | pie shop owner | "pie style" | second place |
| 2 | russell jackson | 49 | san francisco, ca | underground chef | "seven culinary sins" | third place |
| 3 | stacey poon-kinney | 34 | san diego, ca | restaurant owner | "vintage with a modern twist" | week 10 |
| 4 | nikki dinki | 29 | new york, ny | food blogger/online host | "semi-vegetarian" / "meat on the side" | week 9 |
| 5 | chad rosenthal | 37 | ambler, pa | restaurant owner | "jewish bbq guy" | week 7 |
| 6 | chris hodgson | 26 | cleveland, oh | chef/restaurateur | "compassion for food" | week 6 |
| 7 | viet pham | 33 | salt lake city, ut | chef/restaurant owner | "the american dream" | week 5 |
| 8 | connie "lovely" jackson | 27 | los angeles, ca | caterer | "party on a plate" | week 4 & week 8(winner of star salvation) |
| 9 | danushka lysek | 37 | new york, ny | private chef/model | "your private chef" | week 3 |
| 10 | andres guillama | 26 | waynesville, nc | childhood obesity prevention coach | "teaching men to cook" | week 2 |
| 11 | daniela perez-reyes | 28 | haleiwa, hi | bartender/caterer | "peruvian princess" | week 1 | | | | name |
|---:|:------------------------|
| 0 | connie "lovely" jackson | | [
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select tonnage (grt) where nationality = 'estonia' col : date | name | nationality | tonnage (grt) | fate row 1 : 1940-01-18 00:00:00 | flandria | sweden | 1179 | sunk row 2 : 1940-01-19 00:00:00 | patria | sweden | 1188 | sunk row 3 : 1940-02-11 00:00:00 | linda | estonia | 1213 | sunk row 4 : 1940-05-04 00:00:00 | san tiburcio | united kingdom | 5995 | sunk (mine) row 5 : 1940-05-09 00:00:00 | doris | french navy | 552 | sunk row 6 : 1940-05-11 00:00:00 | tringa | united kingdom | 1930 | sunk row 7 : 1940-05-11 00:00:00 | viiu | estonia | 1908 | sunk row 8 : 1940-05-23 00:00:00 | sigurd faulbaum | belgium | 3256 | sunk row 9 : 1944-05-11 00:00:00 | shtorm | soviet union | 412 | damaged | col : tonnage (grt) row 1 : 1213 row 2 : 1908 | select tonnage (grt) where nationality = 'estonia' <table_name> : table \begin{tabular}{llllll}
\toprule
& date & name & nationality & tonnage (grt) & fate \\
\midrule
0 & 1940-01-18 00:00:00 & flandria & sweden & 1179 & sunk \\
1 & 1940-01-19 00:00:00 & patria & sweden & 1188 & sunk \\
2 & 1940-02-11 00:00:00 & linda & estonia & 1213 & sunk \\
3 & 1940-05-04 00:00:00 & san tiburcio & united kingdom & 5995 & sunk (mine) \\
4 & 1940-05-09 00:00:00 & doris & french navy & 552 & sunk \\
5 & 1940-05-11 00:00:00 & tringa & united kingdom & 1930 & sunk \\
6 & 1940-05-11 00:00:00 & viiu & estonia & 1908 & sunk \\
7 & 1940-05-23 00:00:00 & sigurd faulbaum & belgium & 3256 & sunk \\
8 & 1944-05-11 00:00:00 & shtorm & soviet union & 412 & damaged \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& tonnage (grt) \\
\midrule
0 & 1213 \\
1 & 1908 \\
\bottomrule
\end{tabular}
| select tonnage (grt) where nationality = 'estonia' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>name</th>
<th>nationality</th>
<th>tonnage (grt)</th>
<th>fate</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1940-01-18 00:00:00</td>
<td>flandria</td>
<td>sweden</td>
<td>1179</td>
<td>sunk</td>
</tr>
<tr>
<th>1</th>
<td>1940-01-19 00:00:00</td>
<td>patria</td>
<td>sweden</td>
<td>1188</td>
<td>sunk</td>
</tr>
<tr>
<th>2</th>
<td>1940-02-11 00:00:00</td>
<td>linda</td>
<td>estonia</td>
<td>1213</td>
<td>sunk</td>
</tr>
<tr>
<th>3</th>
<td>1940-05-04 00:00:00</td>
<td>san tiburcio</td>
<td>united kingdom</td>
<td>5995</td>
<td>sunk (mine)</td>
</tr>
<tr>
<th>4</th>
<td>1940-05-09 00:00:00</td>
<td>doris</td>
<td>french navy</td>
<td>552</td>
<td>sunk</td>
</tr>
<tr>
<th>5</th>
<td>1940-05-11 00:00:00</td>
<td>tringa</td>
<td>united kingdom</td>
<td>1930</td>
<td>sunk</td>
</tr>
<tr>
<th>6</th>
<td>1940-05-11 00:00:00</td>
<td>viiu</td>
<td>estonia</td>
<td>1908</td>
<td>sunk</td>
</tr>
<tr>
<th>7</th>
<td>1940-05-23 00:00:00</td>
<td>sigurd faulbaum</td>
<td>belgium</td>
<td>3256</td>
<td>sunk</td>
</tr>
<tr>
<th>8</th>
<td>1944-05-11 00:00:00</td>
<td>shtorm</td>
<td>soviet union</td>
<td>412</td>
<td>damaged</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>tonnage (grt)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1213</td>
</tr>
<tr>
<th>1</th>
<td>1908</td>
</tr>
</tbody>
</table> | select tonnage (grt) where nationality = 'estonia' <table_name> : table | | date | name | nationality | tonnage (grt) | fate |
|---:|:--------------------|:----------------|:---------------|----------------:|:------------|
| 0 | 1940-01-18 00:00:00 | flandria | sweden | 1179 | sunk |
| 1 | 1940-01-19 00:00:00 | patria | sweden | 1188 | sunk |
| 2 | 1940-02-11 00:00:00 | linda | estonia | 1213 | sunk |
| 3 | 1940-05-04 00:00:00 | san tiburcio | united kingdom | 5995 | sunk (mine) |
| 4 | 1940-05-09 00:00:00 | doris | french navy | 552 | sunk |
| 5 | 1940-05-11 00:00:00 | tringa | united kingdom | 1930 | sunk |
| 6 | 1940-05-11 00:00:00 | viiu | estonia | 1908 | sunk |
| 7 | 1940-05-23 00:00:00 | sigurd faulbaum | belgium | 3256 | sunk |
| 8 | 1944-05-11 00:00:00 | shtorm | soviet union | 412 | damaged | | | | tonnage (grt) |
|---:|----------------:|
| 0 | 1213 |
| 1 | 1908 | | [
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select time/retired where team = 'forsythe racing' col : pos | no | driver | team | laps | time/retired | grid | points row 1 : 1 | 6 | michael andretti | newman-haas racing | 150 | 1:33:39.268 | 8 | 20+1 row 2 : 2 | 99 | greg moore | forsythe racing | 150 | 0.075 | 1 | 16+1 row 3 : 3 | 1 | alex zanardi | chip ganassi racing | 150 | 0.918 | 6 | 14 row 4 : 4 | 11 | christian fittipaldi | newman-haas racing | 150 | 3.359 | 4 | 12 row 5 : 5 | 20 | scott pruett | patrick racing | 150 | 5.257 | 12 | 10 row 6 : 6 | 40 | adrian fernandez | patrick racing | 150 | 5.926 | 5 | 8 row 7 : 7 | 5 | gil de ferran | walker racing | 150 | 6.81 | 11 | 6 row 8 : 8 | 8 | bryan herta | team rahal | 150 | 9.866 | 16 | 5 row 9 : 9 | 27 | dario franchitti | team kool green | 150 | 10.275 | 13 | 4 row 10 : 10 | 17 | mauricio gugelmin | pacwest racing group | 150 | 10.855 | 10 | 3 row 11 : 11 | 33 | patrick carpentier | forsythe racing | 150 | 11.382 | 9 | 2 row 12 : 12 | 18 | mark blundell | pacwest racing group | 150 | 29.029 | 7 | 1 row 13 : 13 | 10 | richie hearn | della penna motorsports | 149 | +1 lap | 15 | none row 14 : 14 | 9 | jj lehto | hogan racing | 149 | +1 lap | 29 | none row 15 : 15 | 15 | roberto moreno | project indy | 149 | +1 lap | 23 | none row 16 : 16 | 12 | jimmy vasser | chip ganassi racing | 148 | +2 laps | 3 | none row 17 : 17 | 3 | andre ribeiro | marlboro team penske | 148 | +2 laps | 2 | none row 18 : 18 | 36 | alex barron | all american racing | 148 | +2 laps | 27 | none row 19 : 19 | 7 | bobby rahal | team rahal | 147 | +3 laps | 17 | none row 20 : 20 | 98 | p. j. jones | all american racing | 146 | +4 laps | 26 | none row 21 : 21 | 77 | arnd meier | davis racing | 136 | +14 laps | 28 | none row 22 : 22 | 2 | al unser, jr | marlboro team penske | 122 | transmission | 14 | none row 23 : 23 | 24 | hiro matsushita | arciero-wells racing | 121 | contact | 24 | none row 24 : 24 | 16 | helio castro-neves | bettenhausen racing | 97 | contact | 22 | none row 25 : 25 | 34 | dennis vitolo | payton/coyne racing | 90 | withdrew | 25 | none row 26 : 26 | 25 | max papis | arciero-wells racing | 83 | wheel bearing | 20 | none row 27 : 27 | 26 | paul tracy | team kool green | 79 | suspension | 21 | none row 28 : 28 | 19 | michel jourdain jr | payton/coyne racing | 78 | handling | 19 | none row 29 : 29 | 21 | tony kanaan | tasman motorsports group | 32 | contact | 18 | none | col : time/retired row 1 : 0.075 row 2 : 11.382 | select time/retired where team = 'forsythe racing' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & team & laps & time/retired & grid & points \\
\midrule
0 & 1 & 6 & michael andretti & newman-haas racing & 150 & 1:33:39.268 & 8 & 20+1 \\
1 & 2 & 99 & greg moore & forsythe racing & 150 & 0.075 & 1 & 16+1 \\
2 & 3 & 1 & alex zanardi & chip ganassi racing & 150 & 0.918 & 6 & 14 \\
3 & 4 & 11 & christian fittipaldi & newman-haas racing & 150 & 3.359 & 4 & 12 \\
4 & 5 & 20 & scott pruett & patrick racing & 150 & 5.257 & 12 & 10 \\
5 & 6 & 40 & adrian fernandez & patrick racing & 150 & 5.926 & 5 & 8 \\
6 & 7 & 5 & gil de ferran & walker racing & 150 & 6.81 & 11 & 6 \\
7 & 8 & 8 & bryan herta & team rahal & 150 & 9.866 & 16 & 5 \\
8 & 9 & 27 & dario franchitti & team kool green & 150 & 10.275 & 13 & 4 \\
9 & 10 & 17 & mauricio gugelmin & pacwest racing group & 150 & 10.855 & 10 & 3 \\
10 & 11 & 33 & patrick carpentier & forsythe racing & 150 & 11.382 & 9 & 2 \\
11 & 12 & 18 & mark blundell & pacwest racing group & 150 & 29.029 & 7 & 1 \\
12 & 13 & 10 & richie hearn & della penna motorsports & 149 & +1 lap & 15 & none \\
13 & 14 & 9 & jj lehto & hogan racing & 149 & +1 lap & 29 & none \\
14 & 15 & 15 & roberto moreno & project indy & 149 & +1 lap & 23 & none \\
15 & 16 & 12 & jimmy vasser & chip ganassi racing & 148 & +2 laps & 3 & none \\
16 & 17 & 3 & andre ribeiro & marlboro team penske & 148 & +2 laps & 2 & none \\
17 & 18 & 36 & alex barron & all american racing & 148 & +2 laps & 27 & none \\
18 & 19 & 7 & bobby rahal & team rahal & 147 & +3 laps & 17 & none \\
19 & 20 & 98 & p. j. jones & all american racing & 146 & +4 laps & 26 & none \\
20 & 21 & 77 & arnd meier & davis racing & 136 & +14 laps & 28 & none \\
21 & 22 & 2 & al unser, jr & marlboro team penske & 122 & transmission & 14 & none \\
22 & 23 & 24 & hiro matsushita & arciero-wells racing & 121 & contact & 24 & none \\
23 & 24 & 16 & helio castro-neves & bettenhausen racing & 97 & contact & 22 & none \\
24 & 25 & 34 & dennis vitolo & payton/coyne racing & 90 & withdrew & 25 & none \\
25 & 26 & 25 & max papis & arciero-wells racing & 83 & wheel bearing & 20 & none \\
26 & 27 & 26 & paul tracy & team kool green & 79 & suspension & 21 & none \\
27 & 28 & 19 & michel jourdain jr & payton/coyne racing & 78 & handling & 19 & none \\
28 & 29 & 21 & tony kanaan & tasman motorsports group & 32 & contact & 18 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& time/retired \\
\midrule
0 & 0.075 \\
1 & 11.382 \\
\bottomrule
\end{tabular}
| select time/retired where team = 'forsythe racing' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>no</th>
<th>driver</th>
<th>team</th>
<th>laps</th>
<th>time/retired</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>6</td>
<td>michael andretti</td>
<td>newman-haas racing</td>
<td>150</td>
<td>1:33:39.268</td>
<td>8</td>
<td>20+1</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>99</td>
<td>greg moore</td>
<td>forsythe racing</td>
<td>150</td>
<td>0.075</td>
<td>1</td>
<td>16+1</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1</td>
<td>alex zanardi</td>
<td>chip ganassi racing</td>
<td>150</td>
<td>0.918</td>
<td>6</td>
<td>14</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>11</td>
<td>christian fittipaldi</td>
<td>newman-haas racing</td>
<td>150</td>
<td>3.359</td>
<td>4</td>
<td>12</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>20</td>
<td>scott pruett</td>
<td>patrick racing</td>
<td>150</td>
<td>5.257</td>
<td>12</td>
<td>10</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>40</td>
<td>adrian fernandez</td>
<td>patrick racing</td>
<td>150</td>
<td>5.926</td>
<td>5</td>
<td>8</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>5</td>
<td>gil de ferran</td>
<td>walker racing</td>
<td>150</td>
<td>6.81</td>
<td>11</td>
<td>6</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>8</td>
<td>bryan herta</td>
<td>team rahal</td>
<td>150</td>
<td>9.866</td>
<td>16</td>
<td>5</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>27</td>
<td>dario franchitti</td>
<td>team kool green</td>
<td>150</td>
<td>10.275</td>
<td>13</td>
<td>4</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>17</td>
<td>mauricio gugelmin</td>
<td>pacwest racing group</td>
<td>150</td>
<td>10.855</td>
<td>10</td>
<td>3</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>33</td>
<td>patrick carpentier</td>
<td>forsythe racing</td>
<td>150</td>
<td>11.382</td>
<td>9</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>18</td>
<td>mark blundell</td>
<td>pacwest racing group</td>
<td>150</td>
<td>29.029</td>
<td>7</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>10</td>
<td>richie hearn</td>
<td>della penna motorsports</td>
<td>149</td>
<td>+1 lap</td>
<td>15</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>9</td>
<td>jj lehto</td>
<td>hogan racing</td>
<td>149</td>
<td>+1 lap</td>
<td>29</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>15</td>
<td>roberto moreno</td>
<td>project indy</td>
<td>149</td>
<td>+1 lap</td>
<td>23</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>12</td>
<td>jimmy vasser</td>
<td>chip ganassi racing</td>
<td>148</td>
<td>+2 laps</td>
<td>3</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>3</td>
<td>andre ribeiro</td>
<td>marlboro team penske</td>
<td>148</td>
<td>+2 laps</td>
<td>2</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>36</td>
<td>alex barron</td>
<td>all american racing</td>
<td>148</td>
<td>+2 laps</td>
<td>27</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>7</td>
<td>bobby rahal</td>
<td>team rahal</td>
<td>147</td>
<td>+3 laps</td>
<td>17</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>98</td>
<td>p. j. jones</td>
<td>all american racing</td>
<td>146</td>
<td>+4 laps</td>
<td>26</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>77</td>
<td>arnd meier</td>
<td>davis racing</td>
<td>136</td>
<td>+14 laps</td>
<td>28</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>2</td>
<td>al unser, jr</td>
<td>marlboro team penske</td>
<td>122</td>
<td>transmission</td>
<td>14</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>24</td>
<td>hiro matsushita</td>
<td>arciero-wells racing</td>
<td>121</td>
<td>contact</td>
<td>24</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>16</td>
<td>helio castro-neves</td>
<td>bettenhausen racing</td>
<td>97</td>
<td>contact</td>
<td>22</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>34</td>
<td>dennis vitolo</td>
<td>payton/coyne racing</td>
<td>90</td>
<td>withdrew</td>
<td>25</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>25</td>
<td>max papis</td>
<td>arciero-wells racing</td>
<td>83</td>
<td>wheel bearing</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>27</td>
<td>26</td>
<td>paul tracy</td>
<td>team kool green</td>
<td>79</td>
<td>suspension</td>
<td>21</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>19</td>
<td>michel jourdain jr</td>
<td>payton/coyne racing</td>
<td>78</td>
<td>handling</td>
<td>19</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>29</td>
<td>21</td>
<td>tony kanaan</td>
<td>tasman motorsports group</td>
<td>32</td>
<td>contact</td>
<td>18</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>time/retired</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0.075</td>
</tr>
<tr>
<th>1</th>
<td>11.382</td>
</tr>
</tbody>
</table> | select time/retired where team = 'forsythe racing' <table_name> : table | | pos | no | driver | team | laps | time/retired | grid | points |
|---:|------:|-----:|:---------------------|:-------------------------|-------:|:---------------|-------:|:---------|
| 0 | 1 | 6 | michael andretti | newman-haas racing | 150 | 1:33:39.268 | 8 | 20+1 |
| 1 | 2 | 99 | greg moore | forsythe racing | 150 | 0.075 | 1 | 16+1 |
| 2 | 3 | 1 | alex zanardi | chip ganassi racing | 150 | 0.918 | 6 | 14 |
| 3 | 4 | 11 | christian fittipaldi | newman-haas racing | 150 | 3.359 | 4 | 12 |
| 4 | 5 | 20 | scott pruett | patrick racing | 150 | 5.257 | 12 | 10 |
| 5 | 6 | 40 | adrian fernandez | patrick racing | 150 | 5.926 | 5 | 8 |
| 6 | 7 | 5 | gil de ferran | walker racing | 150 | 6.81 | 11 | 6 |
| 7 | 8 | 8 | bryan herta | team rahal | 150 | 9.866 | 16 | 5 |
| 8 | 9 | 27 | dario franchitti | team kool green | 150 | 10.275 | 13 | 4 |
| 9 | 10 | 17 | mauricio gugelmin | pacwest racing group | 150 | 10.855 | 10 | 3 |
| 10 | 11 | 33 | patrick carpentier | forsythe racing | 150 | 11.382 | 9 | 2 |
| 11 | 12 | 18 | mark blundell | pacwest racing group | 150 | 29.029 | 7 | 1 |
| 12 | 13 | 10 | richie hearn | della penna motorsports | 149 | +1 lap | 15 | none |
| 13 | 14 | 9 | jj lehto | hogan racing | 149 | +1 lap | 29 | none |
| 14 | 15 | 15 | roberto moreno | project indy | 149 | +1 lap | 23 | none |
| 15 | 16 | 12 | jimmy vasser | chip ganassi racing | 148 | +2 laps | 3 | none |
| 16 | 17 | 3 | andre ribeiro | marlboro team penske | 148 | +2 laps | 2 | none |
| 17 | 18 | 36 | alex barron | all american racing | 148 | +2 laps | 27 | none |
| 18 | 19 | 7 | bobby rahal | team rahal | 147 | +3 laps | 17 | none |
| 19 | 20 | 98 | p. j. jones | all american racing | 146 | +4 laps | 26 | none |
| 20 | 21 | 77 | arnd meier | davis racing | 136 | +14 laps | 28 | none |
| 21 | 22 | 2 | al unser, jr | marlboro team penske | 122 | transmission | 14 | none |
| 22 | 23 | 24 | hiro matsushita | arciero-wells racing | 121 | contact | 24 | none |
| 23 | 24 | 16 | helio castro-neves | bettenhausen racing | 97 | contact | 22 | none |
| 24 | 25 | 34 | dennis vitolo | payton/coyne racing | 90 | withdrew | 25 | none |
| 25 | 26 | 25 | max papis | arciero-wells racing | 83 | wheel bearing | 20 | none |
| 26 | 27 | 26 | paul tracy | team kool green | 79 | suspension | 21 | none |
| 27 | 28 | 19 | michel jourdain jr | payton/coyne racing | 78 | handling | 19 | none |
| 28 | 29 | 21 | tony kanaan | tasman motorsports group | 32 | contact | 18 | none | | | | time/retired |
|---:|---------------:|
| 0 | 0.075 |
| 1 | 11.382 | | [
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select notes where year = 2013 col : rank | name | height | floors | year | notes row 1 : 1 | zions bank building zions bank building in downtown boise, idaho | 323 ft (98 m) | 20 | 2013 | tallest building in state since 2013 row 2 : 2 | boise airport air traffic control tower | 295 ft (90 m) | none | 2009 | tallest atc tower in the northwest row 3 : 3 | us bank plaza us bank building in downtown boise | 267 ft (81 m) | 19 | 1978 | tallest building in state from 1978 to 2013. "idaho first plaza" until 1989 row 4 : 3 | one capital center one capital center in downtown boise, idaho | 206 ft (63 m) | 14 | 1975 | tallest building in boise from 1975 to 1978 row 5 : 4 | idaho state capitol idaho state capitol; boise, idaho | 198 ft (60 m) | 4 | 1920 | tallest building in boise from 1920 to 1975 row 6 : 5 | the grove hotel grove hotel in downtown boise, idaho | 196 ft (60 m) | 16 | 2000 | none row 7 : 6 | the aspen aspen loft building in downtown boise, idaho | 194 ft (59 m) | 17 | 2009 | none row 8 : 7 | wells fargo building wells fargo building in downtown boise, idaho | 182 ft (55 m) | 11 | 1988 | first interstate until 1996 row 9 : 8 | banner bank building banner bank building in downtown boise, idaho | 181 ft (55 m) | 11 | 2006 | none row 10 : 9 | key tower key bank building in downtown boise, idaho | 174 ft (53 m) | 13 | 1963 | bank of idaho until 1981, first interstate until 1988 row 11 : 10 | bronco stadium bronco stadium in boise, idaho | 170 ft (52 m) | none | 1970 | none row 12 : 11 | hoff building hoff building in downtown boise, idaho | 165 ft (50 m) | 14 | 1930 | none row 13 : 12 | chase tower plaza chase building in downtown boise, idaho | 160 ft (49 m) | 11 | 1995 | washington mutual until 2009 row 14 : 13 | idaho power building idaho power building in downtown boise, idaho | 160 ft (49 m) | 9 | 1990 | none | col : notes row 1 : tallest building in state since 2013 | select notes where year = 2013 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & name & height & floors & year & notes \\
\midrule
0 & 1 & zions bank building zions bank building in downtown boise, idaho & 323 ft (98 m) & 20 & 2013 & tallest building in state since 2013 \\
1 & 2 & boise airport air traffic control tower & 295 ft (90 m) & none & 2009 & tallest atc tower in the northwest \\
2 & 3 & us bank plaza us bank building in downtown boise & 267 ft (81 m) & 19 & 1978 & tallest building in state from 1978 to 2013. "idaho first plaza" until 1989 \\
3 & 3 & one capital center one capital center in downtown boise, idaho & 206 ft (63 m) & 14 & 1975 & tallest building in boise from 1975 to 1978 \\
4 & 4 & idaho state capitol idaho state capitol; boise, idaho & 198 ft (60 m) & 4 & 1920 & tallest building in boise from 1920 to 1975 \\
5 & 5 & the grove hotel grove hotel in downtown boise, idaho & 196 ft (60 m) & 16 & 2000 & none \\
6 & 6 & the aspen aspen loft building in downtown boise, idaho & 194 ft (59 m) & 17 & 2009 & none \\
7 & 7 & wells fargo building wells fargo building in downtown boise, idaho & 182 ft (55 m) & 11 & 1988 & first interstate until 1996 \\
8 & 8 & banner bank building banner bank building in downtown boise, idaho & 181 ft (55 m) & 11 & 2006 & none \\
9 & 9 & key tower key bank building in downtown boise, idaho & 174 ft (53 m) & 13 & 1963 & bank of idaho until 1981, first interstate until 1988 \\
10 & 10 & bronco stadium bronco stadium in boise, idaho & 170 ft (52 m) & none & 1970 & none \\
11 & 11 & hoff building hoff building in downtown boise, idaho & 165 ft (50 m) & 14 & 1930 & none \\
12 & 12 & chase tower plaza chase building in downtown boise, idaho & 160 ft (49 m) & 11 & 1995 & washington mutual until 2009 \\
13 & 13 & idaho power building idaho power building in downtown boise, idaho & 160 ft (49 m) & 9 & 1990 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& notes \\
\midrule
0 & tallest building in state since 2013 \\
\bottomrule
\end{tabular}
| select notes where year = 2013 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>name</th>
<th>height</th>
<th>floors</th>
<th>year</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>zions bank building zions bank building in downtown boise, idaho</td>
<td>323 ft (98 m)</td>
<td>20</td>
<td>2013</td>
<td>tallest building in state since 2013</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>boise airport air traffic control tower</td>
<td>295 ft (90 m)</td>
<td>none</td>
<td>2009</td>
<td>tallest atc tower in the northwest</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>us bank plaza us bank building in downtown boise</td>
<td>267 ft (81 m)</td>
<td>19</td>
<td>1978</td>
<td>tallest building in state from 1978 to 2013. "idaho first plaza" until 1989</td>
</tr>
<tr>
<th>3</th>
<td>3</td>
<td>one capital center one capital center in downtown boise, idaho</td>
<td>206 ft (63 m)</td>
<td>14</td>
<td>1975</td>
<td>tallest building in boise from 1975 to 1978</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>idaho state capitol idaho state capitol; boise, idaho</td>
<td>198 ft (60 m)</td>
<td>4</td>
<td>1920</td>
<td>tallest building in boise from 1920 to 1975</td>
</tr>
<tr>
<th>5</th>
<td>5</td>
<td>the grove hotel grove hotel in downtown boise, idaho</td>
<td>196 ft (60 m)</td>
<td>16</td>
<td>2000</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>6</td>
<td>the aspen aspen loft building in downtown boise, idaho</td>
<td>194 ft (59 m)</td>
<td>17</td>
<td>2009</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>wells fargo building wells fargo building in downtown boise, idaho</td>
<td>182 ft (55 m)</td>
<td>11</td>
<td>1988</td>
<td>first interstate until 1996</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>banner bank building banner bank building in downtown boise, idaho</td>
<td>181 ft (55 m)</td>
<td>11</td>
<td>2006</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>key tower key bank building in downtown boise, idaho</td>
<td>174 ft (53 m)</td>
<td>13</td>
<td>1963</td>
<td>bank of idaho until 1981, first interstate until 1988</td>
</tr>
<tr>
<th>10</th>
<td>10</td>
<td>bronco stadium bronco stadium in boise, idaho</td>
<td>170 ft (52 m)</td>
<td>none</td>
<td>1970</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>hoff building hoff building in downtown boise, idaho</td>
<td>165 ft (50 m)</td>
<td>14</td>
<td>1930</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>12</td>
<td>chase tower plaza chase building in downtown boise, idaho</td>
<td>160 ft (49 m)</td>
<td>11</td>
<td>1995</td>
<td>washington mutual until 2009</td>
</tr>
<tr>
<th>13</th>
<td>13</td>
<td>idaho power building idaho power building in downtown boise, idaho</td>
<td>160 ft (49 m)</td>
<td>9</td>
<td>1990</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>tallest building in state since 2013</td>
</tr>
</tbody>
</table> | select notes where year = 2013 <table_name> : table | | rank | name | height | floors | year | notes |
|---:|-------:|:-------------------------------------------------------------------|:--------------|:---------|-------:|:----------------------------------------------------------------------------|
| 0 | 1 | zions bank building zions bank building in downtown boise, idaho | 323 ft (98 m) | 20 | 2013 | tallest building in state since 2013 |
| 1 | 2 | boise airport air traffic control tower | 295 ft (90 m) | none | 2009 | tallest atc tower in the northwest |
| 2 | 3 | us bank plaza us bank building in downtown boise | 267 ft (81 m) | 19 | 1978 | tallest building in state from 1978 to 2013. "idaho first plaza" until 1989 |
| 3 | 3 | one capital center one capital center in downtown boise, idaho | 206 ft (63 m) | 14 | 1975 | tallest building in boise from 1975 to 1978 |
| 4 | 4 | idaho state capitol idaho state capitol; boise, idaho | 198 ft (60 m) | 4 | 1920 | tallest building in boise from 1920 to 1975 |
| 5 | 5 | the grove hotel grove hotel in downtown boise, idaho | 196 ft (60 m) | 16 | 2000 | none |
| 6 | 6 | the aspen aspen loft building in downtown boise, idaho | 194 ft (59 m) | 17 | 2009 | none |
| 7 | 7 | wells fargo building wells fargo building in downtown boise, idaho | 182 ft (55 m) | 11 | 1988 | first interstate until 1996 |
| 8 | 8 | banner bank building banner bank building in downtown boise, idaho | 181 ft (55 m) | 11 | 2006 | none |
| 9 | 9 | key tower key bank building in downtown boise, idaho | 174 ft (53 m) | 13 | 1963 | bank of idaho until 1981, first interstate until 1988 |
| 10 | 10 | bronco stadium bronco stadium in boise, idaho | 170 ft (52 m) | none | 1970 | none |
| 11 | 11 | hoff building hoff building in downtown boise, idaho | 165 ft (50 m) | 14 | 1930 | none |
| 12 | 12 | chase tower plaza chase building in downtown boise, idaho | 160 ft (49 m) | 11 | 1995 | washington mutual until 2009 |
| 13 | 13 | idaho power building idaho power building in downtown boise, idaho | 160 ft (49 m) | 9 | 1990 | none | | | | notes |
|---:|:-------------------------------------|
| 0 | tallest building in state since 2013 | | [
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select count ( type ) where energy storage = 'inductor' col : type | power [w] | relative cost | input range [v] | energy storage | features row 1 : flyback | 0-250 | 1 | 5-600 | mutual inductors | isolated form of the buck-boost converter row 2 : ringing choke converter (rcc) | 0-150 | 1 | 5-600 | transformer | low-cost self-oscillating flyback variant row 3 : half-forward | 0-250 | 1.2 | 5-500 | inductor | none row 4 : forward | 100-200 | none | 60-200 | inductor | isolated form of buck converter row 5 : resonant forward | 0-60 | 1 | 60-400 | inductor and capacitor | single rail input, unregulated output, high efficiency, low emi row 6 : push-pull | 100-1,000 | 1.75 | 50-1,000 | inductor | none row 7 : half-bridge | 0-2,000 | 1.9 | 50-1,000 | inductor | none row 8 : full-bridge | 400-5,000 | >2.0 | 50-1,000 | inductor | very efficient use of transformer, used for highest powers row 9 : resonant, zero voltage switched | >1,000 | >2.0 | none | inductor and capacitor | none row 10 : isolated cuk | none | none | none | two capacitors and two inductors | none | col : count ( "type" ) row 1 : 5 | select count ( type ) where energy storage = 'inductor' <table_name> : table \begin{tabular}{lllllll}
\toprule
& type & power [w] & relative cost & input range [v] & energy storage & features \\
\midrule
0 & flyback & 0-250 & 1 & 5-600 & mutual inductors & isolated form of the buck-boost converter \\
1 & ringing choke converter (rcc) & 0-150 & 1 & 5-600 & transformer & low-cost self-oscillating flyback variant \\
2 & half-forward & 0-250 & 1.2 & 5-500 & inductor & none \\
3 & forward & 100-200 & none & 60-200 & inductor & isolated form of buck converter \\
4 & resonant forward & 0-60 & 1 & 60-400 & inductor and capacitor & single rail input, unregulated output, high efficiency, low emi \\
5 & push-pull & 100-1,000 & 1.75 & 50-1,000 & inductor & none \\
6 & half-bridge & 0-2,000 & 1.9 & 50-1,000 & inductor & none \\
7 & full-bridge & 400-5,000 & >2.0 & 50-1,000 & inductor & very efficient use of transformer, used for highest powers \\
8 & resonant, zero voltage switched & >1,000 & >2.0 & none & inductor and capacitor & none \\
9 & isolated cuk & none & none & none & two capacitors and two inductors & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "type" ) \\
\midrule
0 & 5 \\
\bottomrule
\end{tabular}
| select count ( type ) where energy storage = 'inductor' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>type</th>
<th>power [w]</th>
<th>relative cost</th>
<th>input range [v]</th>
<th>energy storage</th>
<th>features</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>flyback</td>
<td>0-250</td>
<td>1</td>
<td>5-600</td>
<td>mutual inductors</td>
<td>isolated form of the buck-boost converter</td>
</tr>
<tr>
<th>1</th>
<td>ringing choke converter (rcc)</td>
<td>0-150</td>
<td>1</td>
<td>5-600</td>
<td>transformer</td>
<td>low-cost self-oscillating flyback variant</td>
</tr>
<tr>
<th>2</th>
<td>half-forward</td>
<td>0-250</td>
<td>1.2</td>
<td>5-500</td>
<td>inductor</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>forward</td>
<td>100-200</td>
<td>none</td>
<td>60-200</td>
<td>inductor</td>
<td>isolated form of buck converter</td>
</tr>
<tr>
<th>4</th>
<td>resonant forward</td>
<td>0-60</td>
<td>1</td>
<td>60-400</td>
<td>inductor and capacitor</td>
<td>single rail input, unregulated output, high efficiency, low emi</td>
</tr>
<tr>
<th>5</th>
<td>push-pull</td>
<td>100-1,000</td>
<td>1.75</td>
<td>50-1,000</td>
<td>inductor</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>half-bridge</td>
<td>0-2,000</td>
<td>1.9</td>
<td>50-1,000</td>
<td>inductor</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>full-bridge</td>
<td>400-5,000</td>
<td>>2.0</td>
<td>50-1,000</td>
<td>inductor</td>
<td>very efficient use of transformer, used for highest powers</td>
</tr>
<tr>
<th>8</th>
<td>resonant, zero voltage switched</td>
<td>>1,000</td>
<td>>2.0</td>
<td>none</td>
<td>inductor and capacitor</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>isolated cuk</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>two capacitors and two inductors</td>
<td>none</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>5</td>
</tr>
</tbody>
</table> | select count ( type ) where energy storage = 'inductor' <table_name> : table | | type | power [w] | relative cost | input range [v] | energy storage | features |
|---:|:--------------------------------|:------------|:----------------|:------------------|:---------------------------------|:----------------------------------------------------------------|
| 0 | flyback | 0-250 | 1 | 5-600 | mutual inductors | isolated form of the buck-boost converter |
| 1 | ringing choke converter (rcc) | 0-150 | 1 | 5-600 | transformer | low-cost self-oscillating flyback variant |
| 2 | half-forward | 0-250 | 1.2 | 5-500 | inductor | none |
| 3 | forward | 100-200 | none | 60-200 | inductor | isolated form of buck converter |
| 4 | resonant forward | 0-60 | 1 | 60-400 | inductor and capacitor | single rail input, unregulated output, high efficiency, low emi |
| 5 | push-pull | 100-1,000 | 1.75 | 50-1,000 | inductor | none |
| 6 | half-bridge | 0-2,000 | 1.9 | 50-1,000 | inductor | none |
| 7 | full-bridge | 400-5,000 | >2.0 | 50-1,000 | inductor | very efficient use of transformer, used for highest powers |
| 8 | resonant, zero voltage switched | >1,000 | >2.0 | none | inductor and capacitor | none |
| 9 | isolated cuk | none | none | none | two capacitors and two inductors | none | | | | count ( "type" ) |
|---:|-------------------:|
| 0 | 5 | | [
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select wrestlers where days held = 113 col : # | wrestlers | reign | date | days held | location | notes row 1 : 1 | kuishinbo kamen | 1 | 2001-01-04 00:00:00 | 758 | osaka, japan | kamen defeated ebessan to become the first champion row 2 : 2 | ebessan | 1 | 2003-02-01 00:00:00 | 56 | osaka, japan | none row 3 : 3 | pero | 1 | 2003-03-29 00:00:00 | 7 | osaka, japan | none row 4 : 4 | ebessan | 2 | 2003-04-05 00:00:00 | 92 | osaka, japan | none row 5 : 5 | tigers mask | 1 | 2003-07-06 00:00:00 | 90 | osaka, japan | none row 6 : none | vacant | none | 2003-10-04 00:00:00 | none | none | tigers mask vacated the title to enter the tennozan 2003 tournament row 7 : 6 | miracle man | 1 | 2003-12-07 00:00:00 | 55 | osaka, japan | miracle man won a 4-way match which included ebessan, kuishinbo kamen, and pero to win the vacant championship row 8 : 7 | ebessan | 3 | 2004-01-31 00:00:00 | 21 | osaka, japan | none row 9 : 8 | kuishinbo kamen | 2 | 2004-02-21 00:00:00 | 665 | osaka, japan | none row 10 : none | stripped | none | 2005-12-17 00:00:00 | none | none | kamen was stripped of the title due to a lack of title defenses row 11 : 9 | policeman | 1 | 2006-02-18 00:00:00 | 311 | osaka, japan | none row 12 : 10 | okita-kun | 1 | 2006-02-26 00:00:00 | 314 | osaka, japan | okita-kun won an eight-man battle royal last eliminating policeman row 13 : none | vacant | none | 2007-01-06 00:00:00 | none | none | okita-hun vacated the title due to an ear injury on september 16, 2009 row 14 : 11 | sgt. suchi | 1 | 2007-02-12 00:00:00 | 194 | osaka, japan | sgt. suchi is a comedian who won a battle royal, last eliminating miracle man and kuishinbo kamen row 15 : 12 | ebessan iii | 1 | 2007-08-25 00:00:00 | 113 | osaka, japan | none row 16 : 13 | kuishinbo kamen | 3 | 2007-12-16 00:00:00 | 84 | tokyo, japan | none row 17 : 14 | miracle man | 2 | 2008-03-09 00:00:00 | 51 | tokyo, japan | none row 18 : 15 | kanjyuro matsuyama | 1 | 2008-04-29 00:00:00 | 0 | tokyo, japan | matsuyama retires the title immediately after the match and declares himself the first osaka pro wrestling owarai champion row 19 : 16 | kuishinbo kamen | 4 | 2010-04-29 00:00:00 | 59 | osaka, japan | kamen wins both the owarai championship and the re-activated osaka meibutsu sekaiichi championship row 20 : 17 | kyusei ninja ranmaru | 1 | 2010-06-27 00:00:00 | 22 | osaka, japan | ranmaru wins both titles row 21 : 18 | kuishinbo kamen | 5 | 2010-07-19 00:00:00 | 1435 | osaka, japan | kamen wins both titles | col : wrestlers row 1 : ebessan iii | select wrestlers where days held = 113 <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & wrestlers & reign & date & days held & location & notes \\
\midrule
0 & 1 & kuishinbo kamen & 1 & 2001-01-04 00:00:00 & 758 & osaka, japan & kamen defeated ebessan to become the first champion \\
1 & 2 & ebessan & 1 & 2003-02-01 00:00:00 & 56 & osaka, japan & none \\
2 & 3 & pero & 1 & 2003-03-29 00:00:00 & 7 & osaka, japan & none \\
3 & 4 & ebessan & 2 & 2003-04-05 00:00:00 & 92 & osaka, japan & none \\
4 & 5 & tigers mask & 1 & 2003-07-06 00:00:00 & 90 & osaka, japan & none \\
5 & none & vacant & none & 2003-10-04 00:00:00 & none & none & tigers mask vacated the title to enter the tennozan 2003 tournament \\
6 & 6 & miracle man & 1 & 2003-12-07 00:00:00 & 55 & osaka, japan & miracle man won a 4-way match which included ebessan, kuishinbo kamen, and pero to win the vacant championship \\
7 & 7 & ebessan & 3 & 2004-01-31 00:00:00 & 21 & osaka, japan & none \\
8 & 8 & kuishinbo kamen & 2 & 2004-02-21 00:00:00 & 665 & osaka, japan & none \\
9 & none & stripped & none & 2005-12-17 00:00:00 & none & none & kamen was stripped of the title due to a lack of title defenses \\
10 & 9 & policeman & 1 & 2006-02-18 00:00:00 & 311 & osaka, japan & none \\
11 & 10 & okita-kun & 1 & 2006-02-26 00:00:00 & 314 & osaka, japan & okita-kun won an eight-man battle royal last eliminating policeman \\
12 & none & vacant & none & 2007-01-06 00:00:00 & none & none & okita-hun vacated the title due to an ear injury on september 16, 2009 \\
13 & 11 & sgt. suchi & 1 & 2007-02-12 00:00:00 & 194 & osaka, japan & sgt. suchi is a comedian who won a battle royal, last eliminating miracle man and kuishinbo kamen \\
14 & 12 & ebessan iii & 1 & 2007-08-25 00:00:00 & 113 & osaka, japan & none \\
15 & 13 & kuishinbo kamen & 3 & 2007-12-16 00:00:00 & 84 & tokyo, japan & none \\
16 & 14 & miracle man & 2 & 2008-03-09 00:00:00 & 51 & tokyo, japan & none \\
17 & 15 & kanjyuro matsuyama & 1 & 2008-04-29 00:00:00 & 0 & tokyo, japan & matsuyama retires the title immediately after the match and declares himself the first osaka pro wrestling owarai champion \\
18 & 16 & kuishinbo kamen & 4 & 2010-04-29 00:00:00 & 59 & osaka, japan & kamen wins both the owarai championship and the re-activated osaka meibutsu sekaiichi championship \\
19 & 17 & kyusei ninja ranmaru & 1 & 2010-06-27 00:00:00 & 22 & osaka, japan & ranmaru wins both titles \\
20 & 18 & kuishinbo kamen & 5 & 2010-07-19 00:00:00 & 1435 & osaka, japan & kamen wins both titles \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& wrestlers \\
\midrule
0 & ebessan iii \\
\bottomrule
\end{tabular}
| select wrestlers where days held = 113 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>wrestlers</th>
<th>reign</th>
<th>date</th>
<th>days held</th>
<th>location</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>kuishinbo kamen</td>
<td>1</td>
<td>2001-01-04 00:00:00</td>
<td>758</td>
<td>osaka, japan</td>
<td>kamen defeated ebessan to become the first champion</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>ebessan</td>
<td>1</td>
<td>2003-02-01 00:00:00</td>
<td>56</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>pero</td>
<td>1</td>
<td>2003-03-29 00:00:00</td>
<td>7</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>ebessan</td>
<td>2</td>
<td>2003-04-05 00:00:00</td>
<td>92</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>tigers mask</td>
<td>1</td>
<td>2003-07-06 00:00:00</td>
<td>90</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>none</td>
<td>vacant</td>
<td>none</td>
<td>2003-10-04 00:00:00</td>
<td>none</td>
<td>none</td>
<td>tigers mask vacated the title to enter the tennozan 2003 tournament</td>
</tr>
<tr>
<th>6</th>
<td>6</td>
<td>miracle man</td>
<td>1</td>
<td>2003-12-07 00:00:00</td>
<td>55</td>
<td>osaka, japan</td>
<td>miracle man won a 4-way match which included ebessan, kuishinbo kamen, and pero to win the vacant championship</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>ebessan</td>
<td>3</td>
<td>2004-01-31 00:00:00</td>
<td>21</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>kuishinbo kamen</td>
<td>2</td>
<td>2004-02-21 00:00:00</td>
<td>665</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>none</td>
<td>stripped</td>
<td>none</td>
<td>2005-12-17 00:00:00</td>
<td>none</td>
<td>none</td>
<td>kamen was stripped of the title due to a lack of title defenses</td>
</tr>
<tr>
<th>10</th>
<td>9</td>
<td>policeman</td>
<td>1</td>
<td>2006-02-18 00:00:00</td>
<td>311</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>10</td>
<td>okita-kun</td>
<td>1</td>
<td>2006-02-26 00:00:00</td>
<td>314</td>
<td>osaka, japan</td>
<td>okita-kun won an eight-man battle royal last eliminating policeman</td>
</tr>
<tr>
<th>12</th>
<td>none</td>
<td>vacant</td>
<td>none</td>
<td>2007-01-06 00:00:00</td>
<td>none</td>
<td>none</td>
<td>okita-hun vacated the title due to an ear injury on september 16, 2009</td>
</tr>
<tr>
<th>13</th>
<td>11</td>
<td>sgt. suchi</td>
<td>1</td>
<td>2007-02-12 00:00:00</td>
<td>194</td>
<td>osaka, japan</td>
<td>sgt. suchi is a comedian who won a battle royal, last eliminating miracle man and kuishinbo kamen</td>
</tr>
<tr>
<th>14</th>
<td>12</td>
<td>ebessan iii</td>
<td>1</td>
<td>2007-08-25 00:00:00</td>
<td>113</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>13</td>
<td>kuishinbo kamen</td>
<td>3</td>
<td>2007-12-16 00:00:00</td>
<td>84</td>
<td>tokyo, japan</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>14</td>
<td>miracle man</td>
<td>2</td>
<td>2008-03-09 00:00:00</td>
<td>51</td>
<td>tokyo, japan</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>15</td>
<td>kanjyuro matsuyama</td>
<td>1</td>
<td>2008-04-29 00:00:00</td>
<td>0</td>
<td>tokyo, japan</td>
<td>matsuyama retires the title immediately after the match and declares himself the first osaka pro wrestling owarai champion</td>
</tr>
<tr>
<th>18</th>
<td>16</td>
<td>kuishinbo kamen</td>
<td>4</td>
<td>2010-04-29 00:00:00</td>
<td>59</td>
<td>osaka, japan</td>
<td>kamen wins both the owarai championship and the re-activated osaka meibutsu sekaiichi championship</td>
</tr>
<tr>
<th>19</th>
<td>17</td>
<td>kyusei ninja ranmaru</td>
<td>1</td>
<td>2010-06-27 00:00:00</td>
<td>22</td>
<td>osaka, japan</td>
<td>ranmaru wins both titles</td>
</tr>
<tr>
<th>20</th>
<td>18</td>
<td>kuishinbo kamen</td>
<td>5</td>
<td>2010-07-19 00:00:00</td>
<td>1435</td>
<td>osaka, japan</td>
<td>kamen wins both titles</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>wrestlers</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>ebessan iii</td>
</tr>
</tbody>
</table> | select wrestlers where days held = 113 <table_name> : table | | # | wrestlers | reign | date | days held | location | notes |
|---:|:-----|:---------------------|:--------|:--------------------|:------------|:-------------|:---------------------------------------------------------------------------------------------------------------------------|
| 0 | 1 | kuishinbo kamen | 1 | 2001-01-04 00:00:00 | 758 | osaka, japan | kamen defeated ebessan to become the first champion |
| 1 | 2 | ebessan | 1 | 2003-02-01 00:00:00 | 56 | osaka, japan | none |
| 2 | 3 | pero | 1 | 2003-03-29 00:00:00 | 7 | osaka, japan | none |
| 3 | 4 | ebessan | 2 | 2003-04-05 00:00:00 | 92 | osaka, japan | none |
| 4 | 5 | tigers mask | 1 | 2003-07-06 00:00:00 | 90 | osaka, japan | none |
| 5 | none | vacant | none | 2003-10-04 00:00:00 | none | none | tigers mask vacated the title to enter the tennozan 2003 tournament |
| 6 | 6 | miracle man | 1 | 2003-12-07 00:00:00 | 55 | osaka, japan | miracle man won a 4-way match which included ebessan, kuishinbo kamen, and pero to win the vacant championship |
| 7 | 7 | ebessan | 3 | 2004-01-31 00:00:00 | 21 | osaka, japan | none |
| 8 | 8 | kuishinbo kamen | 2 | 2004-02-21 00:00:00 | 665 | osaka, japan | none |
| 9 | none | stripped | none | 2005-12-17 00:00:00 | none | none | kamen was stripped of the title due to a lack of title defenses |
| 10 | 9 | policeman | 1 | 2006-02-18 00:00:00 | 311 | osaka, japan | none |
| 11 | 10 | okita-kun | 1 | 2006-02-26 00:00:00 | 314 | osaka, japan | okita-kun won an eight-man battle royal last eliminating policeman |
| 12 | none | vacant | none | 2007-01-06 00:00:00 | none | none | okita-hun vacated the title due to an ear injury on september 16, 2009 |
| 13 | 11 | sgt. suchi | 1 | 2007-02-12 00:00:00 | 194 | osaka, japan | sgt. suchi is a comedian who won a battle royal, last eliminating miracle man and kuishinbo kamen |
| 14 | 12 | ebessan iii | 1 | 2007-08-25 00:00:00 | 113 | osaka, japan | none |
| 15 | 13 | kuishinbo kamen | 3 | 2007-12-16 00:00:00 | 84 | tokyo, japan | none |
| 16 | 14 | miracle man | 2 | 2008-03-09 00:00:00 | 51 | tokyo, japan | none |
| 17 | 15 | kanjyuro matsuyama | 1 | 2008-04-29 00:00:00 | 0 | tokyo, japan | matsuyama retires the title immediately after the match and declares himself the first osaka pro wrestling owarai champion |
| 18 | 16 | kuishinbo kamen | 4 | 2010-04-29 00:00:00 | 59 | osaka, japan | kamen wins both the owarai championship and the re-activated osaka meibutsu sekaiichi championship |
| 19 | 17 | kyusei ninja ranmaru | 1 | 2010-06-27 00:00:00 | 22 | osaka, japan | ranmaru wins both titles |
| 20 | 18 | kuishinbo kamen | 5 | 2010-07-19 00:00:00 | 1435 | osaka, japan | kamen wins both titles | | | | wrestlers |
|---:|:------------|
| 0 | ebessan iii | | [
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select round where location = 'porsche arena, stuttgart, germany' col : record | date | result | opponent | location | method | round row 1 : 13-0 | 2013-07-12 00:00:00 | win | igor pylypenko | porsche arena, stuttgart, germany | unanimous decision | 6 row 2 : 12-0 | 2013-10-27 00:00:00 | win | alphonce mchumiatumbo | sarajevo, bosnia and herzegovina | decision | 8 row 3 : 11-0 | 2013-06-07 00:00:00 | win | alexander vasiliev | westfalenhalle, dortmund, germany | tko | 2 row 4 : 10-0 | 2013-02-02 00:00:00 | win | niko falin | iss dome, dusseldorf, germany | unanimous decision | 6 row 5 : 9-0 | 2012-02-12 00:00:00 | win | ladislav kovarik | esprit arena, dusseldorf, germany | unanimous decision | 6 row 6 : 8-0 | 2012-06-08 00:00:00 | win | ivica perkovic | sarajevo, bosnia and herzegovina | unanimous decision | 12 row 7 : 7-0 | 2012-04-13 00:00:00 | win | aliaksandr makaranka | lanxess arena, cologne, germany | ko | 1 row 8 : 6-0 | 2011-12-17 00:00:00 | win | ferenc zsalek | sarajevo, bosnia and herzegovina | ko | 3 row 9 : 5-0 | 2011-12-02 00:00:00 | win | liridon memishi | sap arena, mannheim, germany | unanimous decision | 6 row 10 : 4-0 | 2011-06-25 00:00:00 | win | werner kreiskott | lanxess arena, cologne, germany | unanimous decision | 6 row 11 : 3-0 | 2011-02-19 00:00:00 | win | ergin solmaz | porsche arena, stuttgart, germany | unanimous decision | 4 row 12 : 2-0 | 2004-09-03 00:00:00 | win | tomasz zeprzalka | gorazde, bosnia and herzegovina | tko | 2 row 13 : 1-0 | 2004-02-07 00:00:00 | win | ergin solmaz | sarajevo, bosnia and herzegovina | unanimous decision | 4 | col : round row 1 : 6 row 2 : 4 | select round where location = 'porsche arena, stuttgart, germany' <table_name> : table \begin{tabular}{llllllll}
\toprule
& record & date & result & opponent & location & method & round \\
\midrule
0 & 13-0 & 2013-07-12 00:00:00 & win & igor pylypenko & porsche arena, stuttgart, germany & unanimous decision & 6 \\
1 & 12-0 & 2013-10-27 00:00:00 & win & alphonce mchumiatumbo & sarajevo, bosnia and herzegovina & decision & 8 \\
2 & 11-0 & 2013-06-07 00:00:00 & win & alexander vasiliev & westfalenhalle, dortmund, germany & tko & 2 \\
3 & 10-0 & 2013-02-02 00:00:00 & win & niko falin & iss dome, dusseldorf, germany & unanimous decision & 6 \\
4 & 9-0 & 2012-02-12 00:00:00 & win & ladislav kovarik & esprit arena, dusseldorf, germany & unanimous decision & 6 \\
5 & 8-0 & 2012-06-08 00:00:00 & win & ivica perkovic & sarajevo, bosnia and herzegovina & unanimous decision & 12 \\
6 & 7-0 & 2012-04-13 00:00:00 & win & aliaksandr makaranka & lanxess arena, cologne, germany & ko & 1 \\
7 & 6-0 & 2011-12-17 00:00:00 & win & ferenc zsalek & sarajevo, bosnia and herzegovina & ko & 3 \\
8 & 5-0 & 2011-12-02 00:00:00 & win & liridon memishi & sap arena, mannheim, germany & unanimous decision & 6 \\
9 & 4-0 & 2011-06-25 00:00:00 & win & werner kreiskott & lanxess arena, cologne, germany & unanimous decision & 6 \\
10 & 3-0 & 2011-02-19 00:00:00 & win & ergin solmaz & porsche arena, stuttgart, germany & unanimous decision & 4 \\
11 & 2-0 & 2004-09-03 00:00:00 & win & tomasz zeprzalka & gorazde, bosnia and herzegovina & tko & 2 \\
12 & 1-0 & 2004-02-07 00:00:00 & win & ergin solmaz & sarajevo, bosnia and herzegovina & unanimous decision & 4 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& round \\
\midrule
0 & 6 \\
1 & 4 \\
\bottomrule
\end{tabular}
| select round where location = 'porsche arena, stuttgart, germany' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>record</th>
<th>date</th>
<th>result</th>
<th>opponent</th>
<th>location</th>
<th>method</th>
<th>round</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>13-0</td>
<td>2013-07-12 00:00:00</td>
<td>win</td>
<td>igor pylypenko</td>
<td>porsche arena, stuttgart, germany</td>
<td>unanimous decision</td>
<td>6</td>
</tr>
<tr>
<th>1</th>
<td>12-0</td>
<td>2013-10-27 00:00:00</td>
<td>win</td>
<td>alphonce mchumiatumbo</td>
<td>sarajevo, bosnia and herzegovina</td>
<td>decision</td>
<td>8</td>
</tr>
<tr>
<th>2</th>
<td>11-0</td>
<td>2013-06-07 00:00:00</td>
<td>win</td>
<td>alexander vasiliev</td>
<td>westfalenhalle, dortmund, germany</td>
<td>tko</td>
<td>2</td>
</tr>
<tr>
<th>3</th>
<td>10-0</td>
<td>2013-02-02 00:00:00</td>
<td>win</td>
<td>niko falin</td>
<td>iss dome, dusseldorf, germany</td>
<td>unanimous decision</td>
<td>6</td>
</tr>
<tr>
<th>4</th>
<td>9-0</td>
<td>2012-02-12 00:00:00</td>
<td>win</td>
<td>ladislav kovarik</td>
<td>esprit arena, dusseldorf, germany</td>
<td>unanimous decision</td>
<td>6</td>
</tr>
<tr>
<th>5</th>
<td>8-0</td>
<td>2012-06-08 00:00:00</td>
<td>win</td>
<td>ivica perkovic</td>
<td>sarajevo, bosnia and herzegovina</td>
<td>unanimous decision</td>
<td>12</td>
</tr>
<tr>
<th>6</th>
<td>7-0</td>
<td>2012-04-13 00:00:00</td>
<td>win</td>
<td>aliaksandr makaranka</td>
<td>lanxess arena, cologne, germany</td>
<td>ko</td>
<td>1</td>
</tr>
<tr>
<th>7</th>
<td>6-0</td>
<td>2011-12-17 00:00:00</td>
<td>win</td>
<td>ferenc zsalek</td>
<td>sarajevo, bosnia and herzegovina</td>
<td>ko</td>
<td>3</td>
</tr>
<tr>
<th>8</th>
<td>5-0</td>
<td>2011-12-02 00:00:00</td>
<td>win</td>
<td>liridon memishi</td>
<td>sap arena, mannheim, germany</td>
<td>unanimous decision</td>
<td>6</td>
</tr>
<tr>
<th>9</th>
<td>4-0</td>
<td>2011-06-25 00:00:00</td>
<td>win</td>
<td>werner kreiskott</td>
<td>lanxess arena, cologne, germany</td>
<td>unanimous decision</td>
<td>6</td>
</tr>
<tr>
<th>10</th>
<td>3-0</td>
<td>2011-02-19 00:00:00</td>
<td>win</td>
<td>ergin solmaz</td>
<td>porsche arena, stuttgart, germany</td>
<td>unanimous decision</td>
<td>4</td>
</tr>
<tr>
<th>11</th>
<td>2-0</td>
<td>2004-09-03 00:00:00</td>
<td>win</td>
<td>tomasz zeprzalka</td>
<td>gorazde, bosnia and herzegovina</td>
<td>tko</td>
<td>2</td>
</tr>
<tr>
<th>12</th>
<td>1-0</td>
<td>2004-02-07 00:00:00</td>
<td>win</td>
<td>ergin solmaz</td>
<td>sarajevo, bosnia and herzegovina</td>
<td>unanimous decision</td>
<td>4</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>round</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
<tr>
<th>1</th>
<td>4</td>
</tr>
</tbody>
</table> | select round where location = 'porsche arena, stuttgart, germany' <table_name> : table | | record | date | result | opponent | location | method | round |
|---:|:---------|:--------------------|:---------|:----------------------|:----------------------------------|:-------------------|--------:|
| 0 | 13-0 | 2013-07-12 00:00:00 | win | igor pylypenko | porsche arena, stuttgart, germany | unanimous decision | 6 |
| 1 | 12-0 | 2013-10-27 00:00:00 | win | alphonce mchumiatumbo | sarajevo, bosnia and herzegovina | decision | 8 |
| 2 | 11-0 | 2013-06-07 00:00:00 | win | alexander vasiliev | westfalenhalle, dortmund, germany | tko | 2 |
| 3 | 10-0 | 2013-02-02 00:00:00 | win | niko falin | iss dome, dusseldorf, germany | unanimous decision | 6 |
| 4 | 9-0 | 2012-02-12 00:00:00 | win | ladislav kovarik | esprit arena, dusseldorf, germany | unanimous decision | 6 |
| 5 | 8-0 | 2012-06-08 00:00:00 | win | ivica perkovic | sarajevo, bosnia and herzegovina | unanimous decision | 12 |
| 6 | 7-0 | 2012-04-13 00:00:00 | win | aliaksandr makaranka | lanxess arena, cologne, germany | ko | 1 |
| 7 | 6-0 | 2011-12-17 00:00:00 | win | ferenc zsalek | sarajevo, bosnia and herzegovina | ko | 3 |
| 8 | 5-0 | 2011-12-02 00:00:00 | win | liridon memishi | sap arena, mannheim, germany | unanimous decision | 6 |
| 9 | 4-0 | 2011-06-25 00:00:00 | win | werner kreiskott | lanxess arena, cologne, germany | unanimous decision | 6 |
| 10 | 3-0 | 2011-02-19 00:00:00 | win | ergin solmaz | porsche arena, stuttgart, germany | unanimous decision | 4 |
| 11 | 2-0 | 2004-09-03 00:00:00 | win | tomasz zeprzalka | gorazde, bosnia and herzegovina | tko | 2 |
| 12 | 1-0 | 2004-02-07 00:00:00 | win | ergin solmaz | sarajevo, bosnia and herzegovina | unanimous decision | 4 | | | | round |
|---:|--------:|
| 0 | 6 |
| 1 | 4 | | [
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select rank where nation = 'great britain' col : rank | heat | nation | competitors | time | notes row 1 : 1 | 2 | united states | kelly willie, derrick brew, andrew rock, darold williamson | 2:59.30 | q row 2 : 2 | 2 | nigeria | james godday, musa audu, saul weigopwa, enefiok udo-obong | 3:01.60 | q, sb row 3 : 3 | 2 | bahamas | andrae williams, dennis darling, nathaniel mckinney, christopher brown | 3:01.74 | q, sb row 4 : 4 | 1 | great britain | timothy benjamin, sean baldock, malachi davis, matthew elias | 3:02.40 | q, sb row 5 : 5 | 1 | japan | yuki yamaguchi, jun osakada, tomohiro ito, mitsuhiro sato | 3:02.71 | q row 6 : 6 | 1 | germany | ingo schultz, kamghe gaba, ruwen faller, bastian swillims | 3:02.77 | q row 7 : 7 | 1 | australia | john steffensen, clinton hill, patrick dwyer, mark ormrod | 3:03.06 | q row 8 : 8 | 1 | botswana | oganeditse moseki, johnson kubisa, california molefe, kagiso kilego | 3:03.32 | q, sb row 9 : 9 | 2 | russia | aleksandr larin, andrey rudnitskiy, oleg mishukov, ruslan mashchenko | 3:03.35 | none row 10 : 10 | 2 | poland | piotr rysiukiewicz, piotr klimczak, marcin marciniszyn, marek plawgo | 3:03.69 | none row 11 : 11 | 2 | ukraine | volodymyr demchenko, yevgeniy zyukov, myhaylo knysh, andriy tverdostup | 3:04.01 | none row 12 : 12 | 1 | greece | stilianos dimotsios, anastasios gousis, panagiotis sarris, periklis iakovakis | 3:04.27 | sb row 13 : 13 | 1 | france | ahmed douhou, ibrahima wade, abderrahim el haouzy, leslie djhone | 3:04.39 | none row 14 : 14 | 2 | spain | eduardo ivan rodriguez, david canal, luis flores, antonio manuel reina | 3:05.03 | sb row 15 : none | 2 | south africa | marcus la grange, hendrick mokganyetsi, ockert cilliers, arnaud malherbe | dnf | none row 16 : none | 1 | jamaica | michael campbell, michael blackwood, jermaine gonzales, davian clarke | dsq | none | col : rank row 1 : 4 | select rank where nation = 'great britain' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & heat & nation & competitors & time & notes \\
\midrule
0 & 1 & 2 & united states & kelly willie, derrick brew, andrew rock, darold williamson & 2:59.30 & q \\
1 & 2 & 2 & nigeria & james godday, musa audu, saul weigopwa, enefiok udo-obong & 3:01.60 & q, sb \\
2 & 3 & 2 & bahamas & andrae williams, dennis darling, nathaniel mckinney, christopher brown & 3:01.74 & q, sb \\
3 & 4 & 1 & great britain & timothy benjamin, sean baldock, malachi davis, matthew elias & 3:02.40 & q, sb \\
4 & 5 & 1 & japan & yuki yamaguchi, jun osakada, tomohiro ito, mitsuhiro sato & 3:02.71 & q \\
5 & 6 & 1 & germany & ingo schultz, kamghe gaba, ruwen faller, bastian swillims & 3:02.77 & q \\
6 & 7 & 1 & australia & john steffensen, clinton hill, patrick dwyer, mark ormrod & 3:03.06 & q \\
7 & 8 & 1 & botswana & oganeditse moseki, johnson kubisa, california molefe, kagiso kilego & 3:03.32 & q, sb \\
8 & 9 & 2 & russia & aleksandr larin, andrey rudnitskiy, oleg mishukov, ruslan mashchenko & 3:03.35 & none \\
9 & 10 & 2 & poland & piotr rysiukiewicz, piotr klimczak, marcin marciniszyn, marek plawgo & 3:03.69 & none \\
10 & 11 & 2 & ukraine & volodymyr demchenko, yevgeniy zyukov, myhaylo knysh, andriy tverdostup & 3:04.01 & none \\
11 & 12 & 1 & greece & stilianos dimotsios, anastasios gousis, panagiotis sarris, periklis iakovakis & 3:04.27 & sb \\
12 & 13 & 1 & france & ahmed douhou, ibrahima wade, abderrahim el haouzy, leslie djhone & 3:04.39 & none \\
13 & 14 & 2 & spain & eduardo ivan rodriguez, david canal, luis flores, antonio manuel reina & 3:05.03 & sb \\
14 & none & 2 & south africa & marcus la grange, hendrick mokganyetsi, ockert cilliers, arnaud malherbe & dnf & none \\
15 & none & 1 & jamaica & michael campbell, michael blackwood, jermaine gonzales, davian clarke & dsq & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& rank \\
\midrule
0 & 4 \\
\bottomrule
\end{tabular}
| select rank where nation = 'great britain' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>heat</th>
<th>nation</th>
<th>competitors</th>
<th>time</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2</td>
<td>united states</td>
<td>kelly willie, derrick brew, andrew rock, darold williamson</td>
<td>2:59.30</td>
<td>q</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2</td>
<td>nigeria</td>
<td>james godday, musa audu, saul weigopwa, enefiok udo-obong</td>
<td>3:01.60</td>
<td>q, sb</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2</td>
<td>bahamas</td>
<td>andrae williams, dennis darling, nathaniel mckinney, christopher brown</td>
<td>3:01.74</td>
<td>q, sb</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1</td>
<td>great britain</td>
<td>timothy benjamin, sean baldock, malachi davis, matthew elias</td>
<td>3:02.40</td>
<td>q, sb</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1</td>
<td>japan</td>
<td>yuki yamaguchi, jun osakada, tomohiro ito, mitsuhiro sato</td>
<td>3:02.71</td>
<td>q</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1</td>
<td>germany</td>
<td>ingo schultz, kamghe gaba, ruwen faller, bastian swillims</td>
<td>3:02.77</td>
<td>q</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>1</td>
<td>australia</td>
<td>john steffensen, clinton hill, patrick dwyer, mark ormrod</td>
<td>3:03.06</td>
<td>q</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>1</td>
<td>botswana</td>
<td>oganeditse moseki, johnson kubisa, california molefe, kagiso kilego</td>
<td>3:03.32</td>
<td>q, sb</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2</td>
<td>russia</td>
<td>aleksandr larin, andrey rudnitskiy, oleg mishukov, ruslan mashchenko</td>
<td>3:03.35</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2</td>
<td>poland</td>
<td>piotr rysiukiewicz, piotr klimczak, marcin marciniszyn, marek plawgo</td>
<td>3:03.69</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2</td>
<td>ukraine</td>
<td>volodymyr demchenko, yevgeniy zyukov, myhaylo knysh, andriy tverdostup</td>
<td>3:04.01</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>1</td>
<td>greece</td>
<td>stilianos dimotsios, anastasios gousis, panagiotis sarris, periklis iakovakis</td>
<td>3:04.27</td>
<td>sb</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>1</td>
<td>france</td>
<td>ahmed douhou, ibrahima wade, abderrahim el haouzy, leslie djhone</td>
<td>3:04.39</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>2</td>
<td>spain</td>
<td>eduardo ivan rodriguez, david canal, luis flores, antonio manuel reina</td>
<td>3:05.03</td>
<td>sb</td>
</tr>
<tr>
<th>14</th>
<td>none</td>
<td>2</td>
<td>south africa</td>
<td>marcus la grange, hendrick mokganyetsi, ockert cilliers, arnaud malherbe</td>
<td>dnf</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>none</td>
<td>1</td>
<td>jamaica</td>
<td>michael campbell, michael blackwood, jermaine gonzales, davian clarke</td>
<td>dsq</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
</tbody>
</table> | select rank where nation = 'great britain' <table_name> : table | | rank | heat | nation | competitors | time | notes |
|---:|:-------|-------:|:--------------|:------------------------------------------------------------------------------|:--------|:--------|
| 0 | 1 | 2 | united states | kelly willie, derrick brew, andrew rock, darold williamson | 2:59.30 | q |
| 1 | 2 | 2 | nigeria | james godday, musa audu, saul weigopwa, enefiok udo-obong | 3:01.60 | q, sb |
| 2 | 3 | 2 | bahamas | andrae williams, dennis darling, nathaniel mckinney, christopher brown | 3:01.74 | q, sb |
| 3 | 4 | 1 | great britain | timothy benjamin, sean baldock, malachi davis, matthew elias | 3:02.40 | q, sb |
| 4 | 5 | 1 | japan | yuki yamaguchi, jun osakada, tomohiro ito, mitsuhiro sato | 3:02.71 | q |
| 5 | 6 | 1 | germany | ingo schultz, kamghe gaba, ruwen faller, bastian swillims | 3:02.77 | q |
| 6 | 7 | 1 | australia | john steffensen, clinton hill, patrick dwyer, mark ormrod | 3:03.06 | q |
| 7 | 8 | 1 | botswana | oganeditse moseki, johnson kubisa, california molefe, kagiso kilego | 3:03.32 | q, sb |
| 8 | 9 | 2 | russia | aleksandr larin, andrey rudnitskiy, oleg mishukov, ruslan mashchenko | 3:03.35 | none |
| 9 | 10 | 2 | poland | piotr rysiukiewicz, piotr klimczak, marcin marciniszyn, marek plawgo | 3:03.69 | none |
| 10 | 11 | 2 | ukraine | volodymyr demchenko, yevgeniy zyukov, myhaylo knysh, andriy tverdostup | 3:04.01 | none |
| 11 | 12 | 1 | greece | stilianos dimotsios, anastasios gousis, panagiotis sarris, periklis iakovakis | 3:04.27 | sb |
| 12 | 13 | 1 | france | ahmed douhou, ibrahima wade, abderrahim el haouzy, leslie djhone | 3:04.39 | none |
| 13 | 14 | 2 | spain | eduardo ivan rodriguez, david canal, luis flores, antonio manuel reina | 3:05.03 | sb |
| 14 | none | 2 | south africa | marcus la grange, hendrick mokganyetsi, ockert cilliers, arnaud malherbe | dnf | none |
| 15 | none | 1 | jamaica | michael campbell, michael blackwood, jermaine gonzales, davian clarke | dsq | none | | | | rank |
|---:|-------:|
| 0 | 4 | | [
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select target date where region = 'south asia' col : community | currency | region | target date | notes row 1 : economic and monetary community of central africa (cemac) | central african cfa franc | africa | none | not yet functioning common market row 2 : west african economic and monetary union (uemoa) | west african cfa franc | africa | none | not yet functioning common market row 3 : gulf cooperation council (gcc) | khaleeji | middle east | 2013 | possibly gold backed, but postponed due to the financial crisis row 4 : east african community (eac) | east african shilling | africa | 2015 | to be used by the future east african federation row 5 : caribbean single market and economy (as part of the caricom) | none | latin america /caribbean | 2015 | to supplement the oecs eastern caribbean currency union row 6 : southern african customs union (sacu) | south african rand | africa | 2015 | de facto for the cma member when the sadc economic union is established row 7 : southern african development community (sadc) | south african rand (interim proposal) | africa | 2016 | to supplement or succeed the cma and southern africa customs union row 8 : south asian association for regional cooperation | none | south asia | 2016 | none row 9 : union of south american nations (unasur) | latino | latin america /caribbean | 2019 | none row 10 : economic community of central african states (eccas) | none | africa | none | to supplement the economic and monetary community of central africa (cemac) row 11 : economic community of west african states (ecowas) | none | africa | none | to succeed uemoa and wamz row 12 : african economic community | none | africa | 2028 | see african monetary union row 13 : union state of russia and belarus | russian ruble | europe | none | none row 14 : arab league | arab dinar | arab states | none | arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union | col : target date row 1 : 2016 | select target date where region = 'south asia' <table_name> : table \begin{tabular}{llllll}
\toprule
& community & currency & region & target date & notes \\
\midrule
0 & economic and monetary community of central africa (cemac) & central african cfa franc & africa & none & not yet functioning common market \\
1 & west african economic and monetary union (uemoa) & west african cfa franc & africa & none & not yet functioning common market \\
2 & gulf cooperation council (gcc) & khaleeji & middle east & 2013 & possibly gold backed, but postponed due to the financial crisis \\
3 & east african community (eac) & east african shilling & africa & 2015 & to be used by the future east african federation \\
4 & caribbean single market and economy (as part of the caricom) & none & latin america /caribbean & 2015 & to supplement the oecs eastern caribbean currency union \\
5 & southern african customs union (sacu) & south african rand & africa & 2015 & de facto for the cma member when the sadc economic union is established \\
6 & southern african development community (sadc) & south african rand (interim proposal) & africa & 2016 & to supplement or succeed the cma and southern africa customs union \\
7 & south asian association for regional cooperation & none & south asia & 2016 & none \\
8 & union of south american nations (unasur) & latino & latin america /caribbean & 2019 & none \\
9 & economic community of central african states (eccas) & none & africa & none & to supplement the economic and monetary community of central africa (cemac) \\
10 & economic community of west african states (ecowas) & none & africa & none & to succeed uemoa and wamz \\
11 & african economic community & none & africa & 2028 & see african monetary union \\
12 & union state of russia and belarus & russian ruble & europe & none & none \\
13 & arab league & arab dinar & arab states & none & arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& target date \\
\midrule
0 & 2016 \\
\bottomrule
\end{tabular}
| select target date where region = 'south asia' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>community</th>
<th>currency</th>
<th>region</th>
<th>target date</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>economic and monetary community of central africa (cemac)</td>
<td>central african cfa franc</td>
<td>africa</td>
<td>none</td>
<td>not yet functioning common market</td>
</tr>
<tr>
<th>1</th>
<td>west african economic and monetary union (uemoa)</td>
<td>west african cfa franc</td>
<td>africa</td>
<td>none</td>
<td>not yet functioning common market</td>
</tr>
<tr>
<th>2</th>
<td>gulf cooperation council (gcc)</td>
<td>khaleeji</td>
<td>middle east</td>
<td>2013</td>
<td>possibly gold backed, but postponed due to the financial crisis</td>
</tr>
<tr>
<th>3</th>
<td>east african community (eac)</td>
<td>east african shilling</td>
<td>africa</td>
<td>2015</td>
<td>to be used by the future east african federation</td>
</tr>
<tr>
<th>4</th>
<td>caribbean single market and economy (as part of the caricom)</td>
<td>none</td>
<td>latin america /caribbean</td>
<td>2015</td>
<td>to supplement the oecs eastern caribbean currency union</td>
</tr>
<tr>
<th>5</th>
<td>southern african customs union (sacu)</td>
<td>south african rand</td>
<td>africa</td>
<td>2015</td>
<td>de facto for the cma member when the sadc economic union is established</td>
</tr>
<tr>
<th>6</th>
<td>southern african development community (sadc)</td>
<td>south african rand (interim proposal)</td>
<td>africa</td>
<td>2016</td>
<td>to supplement or succeed the cma and southern africa customs union</td>
</tr>
<tr>
<th>7</th>
<td>south asian association for regional cooperation</td>
<td>none</td>
<td>south asia</td>
<td>2016</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>union of south american nations (unasur)</td>
<td>latino</td>
<td>latin america /caribbean</td>
<td>2019</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>economic community of central african states (eccas)</td>
<td>none</td>
<td>africa</td>
<td>none</td>
<td>to supplement the economic and monetary community of central africa (cemac)</td>
</tr>
<tr>
<th>10</th>
<td>economic community of west african states (ecowas)</td>
<td>none</td>
<td>africa</td>
<td>none</td>
<td>to succeed uemoa and wamz</td>
</tr>
<tr>
<th>11</th>
<td>african economic community</td>
<td>none</td>
<td>africa</td>
<td>2028</td>
<td>see african monetary union</td>
</tr>
<tr>
<th>12</th>
<td>union state of russia and belarus</td>
<td>russian ruble</td>
<td>europe</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>arab league</td>
<td>arab dinar</td>
<td>arab states</td>
<td>none</td>
<td>arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>target date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2016</td>
</tr>
</tbody>
</table> | select target date where region = 'south asia' <table_name> : table | | community | currency | region | target date | notes |
|---:|:-------------------------------------------------------------|:--------------------------------------|:-------------------------|:--------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | economic and monetary community of central africa (cemac) | central african cfa franc | africa | none | not yet functioning common market |
| 1 | west african economic and monetary union (uemoa) | west african cfa franc | africa | none | not yet functioning common market |
| 2 | gulf cooperation council (gcc) | khaleeji | middle east | 2013 | possibly gold backed, but postponed due to the financial crisis |
| 3 | east african community (eac) | east african shilling | africa | 2015 | to be used by the future east african federation |
| 4 | caribbean single market and economy (as part of the caricom) | none | latin america /caribbean | 2015 | to supplement the oecs eastern caribbean currency union |
| 5 | southern african customs union (sacu) | south african rand | africa | 2015 | de facto for the cma member when the sadc economic union is established |
| 6 | southern african development community (sadc) | south african rand (interim proposal) | africa | 2016 | to supplement or succeed the cma and southern africa customs union |
| 7 | south asian association for regional cooperation | none | south asia | 2016 | none |
| 8 | union of south american nations (unasur) | latino | latin america /caribbean | 2019 | none |
| 9 | economic community of central african states (eccas) | none | africa | none | to supplement the economic and monetary community of central africa (cemac) |
| 10 | economic community of west african states (ecowas) | none | africa | none | to succeed uemoa and wamz |
| 11 | african economic community | none | africa | 2028 | see african monetary union |
| 12 | union state of russia and belarus | russian ruble | europe | none | none |
| 13 | arab league | arab dinar | arab states | none | arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union | | | | target date |
|---:|--------------:|
| 0 | 2016 | | [
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] |
select position where season = '2010-11' col : season | division | tier | position | cup row 1 : 1994-95 | regionalliga sud | iii | 7 | quarter-final row 2 : 1995-96 | regionalliga sud | iii | 13 | round 1 row 3 : 1997-97 | regionalliga sud | iii | 8 | dnq row 4 : 1997-98 | regionalliga sud | iii | 6 | dnq row 5 : 1998-99 | regionalliga sud | iii | 8 | dnq row 6 : 1999-00 | regionalliga sud | iii | 5 | dnq row 7 : 2000-01 | regionalliga sud | iii | 9 | dnq row 8 : 2001-02 | regionalliga sud | iii | 10 | dnq row 9 : 2002-03 | regionalliga sud | iii | 4 | round 1 row 10 : 2003-04 | regionalliga sud | iii | 1 | dnq row 11 : 2004-05 | regionalliga sud | iii | 6 | quarter-final row 12 : 2005-06 | regionalliga sud | iii | 11 | dnq row 13 : 2006-07 | regionalliga sud | iii | 8 | dnq row 14 : 2007-08 | regionalliga sud | iii | 8 | dnq row 15 : 2008-09 | 3. liga | iii | 5 | none row 16 : 2009-10 | 3. liga | iii | 8 | none row 17 : 2010-11 | 3. liga | iii | 20 | none row 18 : 2011-12 | regionalliga sud | iv | 14 | none row 19 : 2012-13 | regionalliga bayern | iv | 2 | none | col : position row 1 : 20 | select position where season = '2010-11' <table_name> : table \begin{tabular}{llllll}
\toprule
& season & division & tier & position & cup \\
\midrule
0 & 1994-95 & regionalliga sud & iii & 7 & quarter-final \\
1 & 1995-96 & regionalliga sud & iii & 13 & round 1 \\
2 & 1997-97 & regionalliga sud & iii & 8 & dnq \\
3 & 1997-98 & regionalliga sud & iii & 6 & dnq \\
4 & 1998-99 & regionalliga sud & iii & 8 & dnq \\
5 & 1999-00 & regionalliga sud & iii & 5 & dnq \\
6 & 2000-01 & regionalliga sud & iii & 9 & dnq \\
7 & 2001-02 & regionalliga sud & iii & 10 & dnq \\
8 & 2002-03 & regionalliga sud & iii & 4 & round 1 \\
9 & 2003-04 & regionalliga sud & iii & 1 & dnq \\
10 & 2004-05 & regionalliga sud & iii & 6 & quarter-final \\
11 & 2005-06 & regionalliga sud & iii & 11 & dnq \\
12 & 2006-07 & regionalliga sud & iii & 8 & dnq \\
13 & 2007-08 & regionalliga sud & iii & 8 & dnq \\
14 & 2008-09 & 3. liga & iii & 5 & none \\
15 & 2009-10 & 3. liga & iii & 8 & none \\
16 & 2010-11 & 3. liga & iii & 20 & none \\
17 & 2011-12 & regionalliga sud & iv & 14 & none \\
18 & 2012-13 & regionalliga bayern & iv & 2 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& position \\
\midrule
0 & 20 \\
\bottomrule
\end{tabular}
| select position where season = '2010-11' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>division</th>
<th>tier</th>
<th>position</th>
<th>cup</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1994-95</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>7</td>
<td>quarter-final</td>
</tr>
<tr>
<th>1</th>
<td>1995-96</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>13</td>
<td>round 1</td>
</tr>
<tr>
<th>2</th>
<td>1997-97</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>8</td>
<td>dnq</td>
</tr>
<tr>
<th>3</th>
<td>1997-98</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>6</td>
<td>dnq</td>
</tr>
<tr>
<th>4</th>
<td>1998-99</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>8</td>
<td>dnq</td>
</tr>
<tr>
<th>5</th>
<td>1999-00</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>5</td>
<td>dnq</td>
</tr>
<tr>
<th>6</th>
<td>2000-01</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>9</td>
<td>dnq</td>
</tr>
<tr>
<th>7</th>
<td>2001-02</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>10</td>
<td>dnq</td>
</tr>
<tr>
<th>8</th>
<td>2002-03</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>4</td>
<td>round 1</td>
</tr>
<tr>
<th>9</th>
<td>2003-04</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>1</td>
<td>dnq</td>
</tr>
<tr>
<th>10</th>
<td>2004-05</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>6</td>
<td>quarter-final</td>
</tr>
<tr>
<th>11</th>
<td>2005-06</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>11</td>
<td>dnq</td>
</tr>
<tr>
<th>12</th>
<td>2006-07</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>8</td>
<td>dnq</td>
</tr>
<tr>
<th>13</th>
<td>2007-08</td>
<td>regionalliga sud</td>
<td>iii</td>
<td>8</td>
<td>dnq</td>
</tr>
<tr>
<th>14</th>
<td>2008-09</td>
<td>3. liga</td>
<td>iii</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>2009-10</td>
<td>3. liga</td>
<td>iii</td>
<td>8</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>2010-11</td>
<td>3. liga</td>
<td>iii</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>2011-12</td>
<td>regionalliga sud</td>
<td>iv</td>
<td>14</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>2012-13</td>
<td>regionalliga bayern</td>
<td>iv</td>
<td>2</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>position</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>20</td>
</tr>
</tbody>
</table> | select position where season = '2010-11' <table_name> : table | | season | division | tier | position | cup |
|---:|:---------|:--------------------|:-------|-----------:|:--------------|
| 0 | 1994-95 | regionalliga sud | iii | 7 | quarter-final |
| 1 | 1995-96 | regionalliga sud | iii | 13 | round 1 |
| 2 | 1997-97 | regionalliga sud | iii | 8 | dnq |
| 3 | 1997-98 | regionalliga sud | iii | 6 | dnq |
| 4 | 1998-99 | regionalliga sud | iii | 8 | dnq |
| 5 | 1999-00 | regionalliga sud | iii | 5 | dnq |
| 6 | 2000-01 | regionalliga sud | iii | 9 | dnq |
| 7 | 2001-02 | regionalliga sud | iii | 10 | dnq |
| 8 | 2002-03 | regionalliga sud | iii | 4 | round 1 |
| 9 | 2003-04 | regionalliga sud | iii | 1 | dnq |
| 10 | 2004-05 | regionalliga sud | iii | 6 | quarter-final |
| 11 | 2005-06 | regionalliga sud | iii | 11 | dnq |
| 12 | 2006-07 | regionalliga sud | iii | 8 | dnq |
| 13 | 2007-08 | regionalliga sud | iii | 8 | dnq |
| 14 | 2008-09 | 3. liga | iii | 5 | none |
| 15 | 2009-10 | 3. liga | iii | 8 | none |
| 16 | 2010-11 | 3. liga | iii | 20 | none |
| 17 | 2011-12 | regionalliga sud | iv | 14 | none |
| 18 | 2012-13 | regionalliga bayern | iv | 2 | none | | | | position |
|---:|-----------:|
| 0 | 20 | | [
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select peak chart positions us country where title = '"making believe"' col : year | title | peak chart positions us country | peak chart positions us | album row 1 : 1950 | "make up your mind" | none | none | non-album singles row 2 : 1950 | "how far is heaven" | none | none | non-album singles row 3 : 1952 | "glory land march" | none | none | non-album singles row 4 : 1952 | "it wasn't god who made honky tonk angels" | 1 | 27 | country hit parade row 5 : 1952 | "a wedding ring ago" | none | none | the kitty wells story row 6 : 1953 | "the things i might have been" | none | 22 | country hit parade row 7 : 1953 | "paying for that back street affair" | 6 | none | country hit parade row 8 : 1953 | "honky tonk waltz" | none | none | country heart row 9 : 1953 | "i don't claim to be an angel" | none | none | country hit parade row 10 : 1953 | "hey joe" | 8 | none | kitty wells' golden favorites row 11 : 1953 | "cheatin's a sin" | 9 | none | country hit parade row 12 : 1954 | "release me" | 8 | none | country hit parade row 13 : 1954 | "you're not so easy to forget" | none | none | after dark row 14 : 1954 | "thou shalt not steal" | 14 | none | kitty wells row 15 : 1955 | "making believe" | 2 | none | country hit parade row 16 : 1955 | "there's poison in your heart" | 9 | none | country hit parade row 17 : 1955 | "the lonely side of town" | 7 | none | after dark row 18 : 1956 | "how far is heaven" (with carol sue) | 11 | none | singing on sunday row 19 : 1956 | "searching (for someone like you)" | 3 | none | kitty wells' golden favorites row 20 : 1956 | "repenting" | 6 | none | kitty wells' golden favorites row 21 : 1957 | "three ways (to love you)" | 7 | none | kitty wells' golden favorites row 22 : 1957 | "(i'll always be your) fraulein" | 10 | none | kitty wells' golden favorites row 23 : 1958 | "i can't stop loving you" | 3 | none | kitty wells' golden favorites row 24 : 1958 | "jealousy" | 7 | 78 | kitty wells' golden favorites row 25 : 1958 | "touch and go heart" | 15 | none | the lonely side of town row 26 : 1959 | "mommy for a day" | 5 | none | kitty wells' golden favorites row 27 : 1959 | "your wild life's gonna get you down" | 12 | none | after dark row 28 : 1959 | "amigo's guitar" | 5 | none | seasons of my heart | col : count ( "peak chart positions us country" ) row 1 : 0 | select peak chart positions us country where title = '"making believe"' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & title & peak chart positions us country & peak chart positions us & album \\
\midrule
0 & 1950 & "make up your mind" & none & none & non-album singles \\
1 & 1950 & "how far is heaven" & none & none & non-album singles \\
2 & 1952 & "glory land march" & none & none & non-album singles \\
3 & 1952 & "it wasn't god who made honky tonk angels" & 1 & 27 & country hit parade \\
4 & 1952 & "a wedding ring ago" & none & none & the kitty wells story \\
5 & 1953 & "the things i might have been" & none & 22 & country hit parade \\
6 & 1953 & "paying for that back street affair" & 6 & none & country hit parade \\
7 & 1953 & "honky tonk waltz" & none & none & country heart \\
8 & 1953 & "i don't claim to be an angel" & none & none & country hit parade \\
9 & 1953 & "hey joe" & 8 & none & kitty wells' golden favorites \\
10 & 1953 & "cheatin's a sin" & 9 & none & country hit parade \\
11 & 1954 & "release me" & 8 & none & country hit parade \\
12 & 1954 & "you're not so easy to forget" & none & none & after dark \\
13 & 1954 & "thou shalt not steal" & 14 & none & kitty wells \\
14 & 1955 & "making believe" & 2 & none & country hit parade \\
15 & 1955 & "there's poison in your heart" & 9 & none & country hit parade \\
16 & 1955 & "the lonely side of town" & 7 & none & after dark \\
17 & 1956 & "how far is heaven" (with carol sue) & 11 & none & singing on sunday \\
18 & 1956 & "searching (for someone like you)" & 3 & none & kitty wells' golden favorites \\
19 & 1956 & "repenting" & 6 & none & kitty wells' golden favorites \\
20 & 1957 & "three ways (to love you)" & 7 & none & kitty wells' golden favorites \\
21 & 1957 & "(i'll always be your) fraulein" & 10 & none & kitty wells' golden favorites \\
22 & 1958 & "i can't stop loving you" & 3 & none & kitty wells' golden favorites \\
23 & 1958 & "jealousy" & 7 & 78 & kitty wells' golden favorites \\
24 & 1958 & "touch and go heart" & 15 & none & the lonely side of town \\
25 & 1959 & "mommy for a day" & 5 & none & kitty wells' golden favorites \\
26 & 1959 & "your wild life's gonna get you down" & 12 & none & after dark \\
27 & 1959 & "amigo's guitar" & 5 & none & seasons of my heart \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "peak chart positions us country" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select peak chart positions us country where title = '"making believe"' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>peak chart positions us country</th>
<th>peak chart positions us</th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1950</td>
<td>"make up your mind"</td>
<td>none</td>
<td>none</td>
<td>non-album singles</td>
</tr>
<tr>
<th>1</th>
<td>1950</td>
<td>"how far is heaven"</td>
<td>none</td>
<td>none</td>
<td>non-album singles</td>
</tr>
<tr>
<th>2</th>
<td>1952</td>
<td>"glory land march"</td>
<td>none</td>
<td>none</td>
<td>non-album singles</td>
</tr>
<tr>
<th>3</th>
<td>1952</td>
<td>"it wasn't god who made honky tonk angels"</td>
<td>1</td>
<td>27</td>
<td>country hit parade</td>
</tr>
<tr>
<th>4</th>
<td>1952</td>
<td>"a wedding ring ago"</td>
<td>none</td>
<td>none</td>
<td>the kitty wells story</td>
</tr>
<tr>
<th>5</th>
<td>1953</td>
<td>"the things i might have been"</td>
<td>none</td>
<td>22</td>
<td>country hit parade</td>
</tr>
<tr>
<th>6</th>
<td>1953</td>
<td>"paying for that back street affair"</td>
<td>6</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>7</th>
<td>1953</td>
<td>"honky tonk waltz"</td>
<td>none</td>
<td>none</td>
<td>country heart</td>
</tr>
<tr>
<th>8</th>
<td>1953</td>
<td>"i don't claim to be an angel"</td>
<td>none</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>9</th>
<td>1953</td>
<td>"hey joe"</td>
<td>8</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>10</th>
<td>1953</td>
<td>"cheatin's a sin"</td>
<td>9</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>11</th>
<td>1954</td>
<td>"release me"</td>
<td>8</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>12</th>
<td>1954</td>
<td>"you're not so easy to forget"</td>
<td>none</td>
<td>none</td>
<td>after dark</td>
</tr>
<tr>
<th>13</th>
<td>1954</td>
<td>"thou shalt not steal"</td>
<td>14</td>
<td>none</td>
<td>kitty wells</td>
</tr>
<tr>
<th>14</th>
<td>1955</td>
<td>"making believe"</td>
<td>2</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>15</th>
<td>1955</td>
<td>"there's poison in your heart"</td>
<td>9</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>16</th>
<td>1955</td>
<td>"the lonely side of town"</td>
<td>7</td>
<td>none</td>
<td>after dark</td>
</tr>
<tr>
<th>17</th>
<td>1956</td>
<td>"how far is heaven" (with carol sue)</td>
<td>11</td>
<td>none</td>
<td>singing on sunday</td>
</tr>
<tr>
<th>18</th>
<td>1956</td>
<td>"searching (for someone like you)"</td>
<td>3</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>19</th>
<td>1956</td>
<td>"repenting"</td>
<td>6</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>20</th>
<td>1957</td>
<td>"three ways (to love you)"</td>
<td>7</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>21</th>
<td>1957</td>
<td>"(i'll always be your) fraulein"</td>
<td>10</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>22</th>
<td>1958</td>
<td>"i can't stop loving you"</td>
<td>3</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>23</th>
<td>1958</td>
<td>"jealousy"</td>
<td>7</td>
<td>78</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>24</th>
<td>1958</td>
<td>"touch and go heart"</td>
<td>15</td>
<td>none</td>
<td>the lonely side of town</td>
</tr>
<tr>
<th>25</th>
<td>1959</td>
<td>"mommy for a day"</td>
<td>5</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>26</th>
<td>1959</td>
<td>"your wild life's gonna get you down"</td>
<td>12</td>
<td>none</td>
<td>after dark</td>
</tr>
<tr>
<th>27</th>
<td>1959</td>
<td>"amigo's guitar"</td>
<td>5</td>
<td>none</td>
<td>seasons of my heart</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "peak chart positions us country" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select peak chart positions us country where title = '"making believe"' <table_name> : table | | year | title | peak chart positions us country | peak chart positions us | album |
|---:|-------:|:-------------------------------------------|:----------------------------------|:--------------------------|:------------------------------|
| 0 | 1950 | "make up your mind" | none | none | non-album singles |
| 1 | 1950 | "how far is heaven" | none | none | non-album singles |
| 2 | 1952 | "glory land march" | none | none | non-album singles |
| 3 | 1952 | "it wasn't god who made honky tonk angels" | 1 | 27 | country hit parade |
| 4 | 1952 | "a wedding ring ago" | none | none | the kitty wells story |
| 5 | 1953 | "the things i might have been" | none | 22 | country hit parade |
| 6 | 1953 | "paying for that back street affair" | 6 | none | country hit parade |
| 7 | 1953 | "honky tonk waltz" | none | none | country heart |
| 8 | 1953 | "i don't claim to be an angel" | none | none | country hit parade |
| 9 | 1953 | "hey joe" | 8 | none | kitty wells' golden favorites |
| 10 | 1953 | "cheatin's a sin" | 9 | none | country hit parade |
| 11 | 1954 | "release me" | 8 | none | country hit parade |
| 12 | 1954 | "you're not so easy to forget" | none | none | after dark |
| 13 | 1954 | "thou shalt not steal" | 14 | none | kitty wells |
| 14 | 1955 | "making believe" | 2 | none | country hit parade |
| 15 | 1955 | "there's poison in your heart" | 9 | none | country hit parade |
| 16 | 1955 | "the lonely side of town" | 7 | none | after dark |
| 17 | 1956 | "how far is heaven" (with carol sue) | 11 | none | singing on sunday |
| 18 | 1956 | "searching (for someone like you)" | 3 | none | kitty wells' golden favorites |
| 19 | 1956 | "repenting" | 6 | none | kitty wells' golden favorites |
| 20 | 1957 | "three ways (to love you)" | 7 | none | kitty wells' golden favorites |
| 21 | 1957 | "(i'll always be your) fraulein" | 10 | none | kitty wells' golden favorites |
| 22 | 1958 | "i can't stop loving you" | 3 | none | kitty wells' golden favorites |
| 23 | 1958 | "jealousy" | 7 | 78 | kitty wells' golden favorites |
| 24 | 1958 | "touch and go heart" | 15 | none | the lonely side of town |
| 25 | 1959 | "mommy for a day" | 5 | none | kitty wells' golden favorites |
| 26 | 1959 | "your wild life's gonna get you down" | 12 | none | after dark |
| 27 | 1959 | "amigo's guitar" | 5 | none | seasons of my heart | | | | count ( "peak chart positions us country" ) |
|---:|----------------------------------------------:|
| 0 | 0 | | [
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select count ( title(s) represented ) where first worn = 1982 col : national team | title(s) represented | first worn | number of stars | notes row 1 : brazil | world cup | 1971 | 5 | third win was in 1970; fourth and fifth stars added after 1994 and 2002 wins. briefly wore 2 stars on a tour of europe in 1968 row 2 : italy | world cup | 1982 | 4 | added after third win; fourth star added after the 2006 win. incorporated into the badge since 2006 row 3 : germany | world cup | 1996 | 3 | 1954, 1974, third win was in 1990 row 4 : uruguay | world cup and olympics | 1930 | 4 | represent 2 world cups (1930 & 1950) and 2 olympic football titles (1924 & 1928) recognized as fifa world championships row 5 : argentina | world cup | 2003 | 2 | 1978, second win was in 1986 row 6 : england | world cup | 2003 | 1 | title won in 1966. star added after a campaign on sky sports' soccer am programme, first worn on the sleeve row 7 : france | world cup | 1998 | 1 | title won in 1998. star added above their badge which was unveiled at their opening qualifying game for euro 2000 row 8 : spain | world cup | 2010 | 1 | title won in 2010. spain played in their away kit for the final, but upon winning the world cup they changed into their home kit, complete with a star above the badge, for the presentation ceremony | col : count ( "title(s" ) row 1 : 1 | select count ( title(s) represented ) where first worn = 1982 <table_name> : table \begin{tabular}{llllll}
\toprule
& national team & title(s) represented & first worn & number of stars & notes \\
\midrule
0 & brazil & world cup & 1971 & 5 & third win was in 1970; fourth and fifth stars added after 1994 and 2002 wins. briefly wore 2 stars on a tour of europe in 1968 \\
1 & italy & world cup & 1982 & 4 & added after third win; fourth star added after the 2006 win. incorporated into the badge since 2006 \\
2 & germany & world cup & 1996 & 3 & 1954, 1974, third win was in 1990 \\
3 & uruguay & world cup and olympics & 1930 & 4 & represent 2 world cups (1930 & 1950) and 2 olympic football titles (1924 & 1928) recognized as fifa world championships \\
4 & argentina & world cup & 2003 & 2 & 1978, second win was in 1986 \\
5 & england & world cup & 2003 & 1 & title won in 1966. star added after a campaign on sky sports' soccer am programme, first worn on the sleeve \\
6 & france & world cup & 1998 & 1 & title won in 1998. star added above their badge which was unveiled at their opening qualifying game for euro 2000 \\
7 & spain & world cup & 2010 & 1 & title won in 2010. spain played in their away kit for the final, but upon winning the world cup they changed into their home kit, complete with a star above the badge, for the presentation ceremony \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "title(s" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( title(s) represented ) where first worn = 1982 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>national team</th>
<th>title(s) represented</th>
<th>first worn</th>
<th>number of stars</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>brazil</td>
<td>world cup</td>
<td>1971</td>
<td>5</td>
<td>third win was in 1970; fourth and fifth stars added after 1994 and 2002 wins. briefly wore 2 stars on a tour of europe in 1968</td>
</tr>
<tr>
<th>1</th>
<td>italy</td>
<td>world cup</td>
<td>1982</td>
<td>4</td>
<td>added after third win; fourth star added after the 2006 win. incorporated into the badge since 2006</td>
</tr>
<tr>
<th>2</th>
<td>germany</td>
<td>world cup</td>
<td>1996</td>
<td>3</td>
<td>1954, 1974, third win was in 1990</td>
</tr>
<tr>
<th>3</th>
<td>uruguay</td>
<td>world cup and olympics</td>
<td>1930</td>
<td>4</td>
<td>represent 2 world cups (1930 & 1950) and 2 olympic football titles (1924 & 1928) recognized as fifa world championships</td>
</tr>
<tr>
<th>4</th>
<td>argentina</td>
<td>world cup</td>
<td>2003</td>
<td>2</td>
<td>1978, second win was in 1986</td>
</tr>
<tr>
<th>5</th>
<td>england</td>
<td>world cup</td>
<td>2003</td>
<td>1</td>
<td>title won in 1966. star added after a campaign on sky sports' soccer am programme, first worn on the sleeve</td>
</tr>
<tr>
<th>6</th>
<td>france</td>
<td>world cup</td>
<td>1998</td>
<td>1</td>
<td>title won in 1998. star added above their badge which was unveiled at their opening qualifying game for euro 2000</td>
</tr>
<tr>
<th>7</th>
<td>spain</td>
<td>world cup</td>
<td>2010</td>
<td>1</td>
<td>title won in 2010. spain played in their away kit for the final, but upon winning the world cup they changed into their home kit, complete with a star above the badge, for the presentation ceremony</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "title(s" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( title(s) represented ) where first worn = 1982 <table_name> : table | | national team | title(s) represented | first worn | number of stars | notes |
|---:|:----------------|:-----------------------|-------------:|------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | brazil | world cup | 1971 | 5 | third win was in 1970; fourth and fifth stars added after 1994 and 2002 wins. briefly wore 2 stars on a tour of europe in 1968 |
| 1 | italy | world cup | 1982 | 4 | added after third win; fourth star added after the 2006 win. incorporated into the badge since 2006 |
| 2 | germany | world cup | 1996 | 3 | 1954, 1974, third win was in 1990 |
| 3 | uruguay | world cup and olympics | 1930 | 4 | represent 2 world cups (1930 & 1950) and 2 olympic football titles (1924 & 1928) recognized as fifa world championships |
| 4 | argentina | world cup | 2003 | 2 | 1978, second win was in 1986 |
| 5 | england | world cup | 2003 | 1 | title won in 1966. star added after a campaign on sky sports' soccer am programme, first worn on the sleeve |
| 6 | france | world cup | 1998 | 1 | title won in 1998. star added above their badge which was unveiled at their opening qualifying game for euro 2000 |
| 7 | spain | world cup | 2010 | 1 | title won in 2010. spain played in their away kit for the final, but upon winning the world cup they changed into their home kit, complete with a star above the badge, for the presentation ceremony | | | | count ( "title(s" ) |
|---:|----------------------:|
| 0 | 1 | | [
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select count ( * ) where population serbia < 19944 col : source | date | population romania | population serbia | notes row 1 : jozu rill | 1864 | 30,000-35,000 | 30,000-35,000 | none row 2 : hungarian statistics | 1880 | 18298 | 18298 | none row 3 : hungarian statistics | 1900 | 19944 | 19944 | none row 4 : hungarian statistics | 1910 | 13536 | 13536 | "evidently underestimated" row 5 : various authors | second half of the 19th century | 22,000-26,000 | 22,000-26,000 | "sometimes including the krashovani" row 6 : romanian census | 1930 | 10012 | none | romanian banat only row 7 : dimo kazasov | 1936 | none | 3200 | serbian banat only; estimated row 8 : romanian census | 1939 | 9951 | none | romanian banat only row 9 : karol telbizov | 1940 | 12000 | none | romanian banat only; estimated row 10 : mihail georgiev | 1942 | none | up to 4,500 | serbian banat only; estimated row 11 : romanian census | 1956 | 12040 | none | romania only row 12 : yugoslav census | 1971 | none | 3745 | serbian banat only row 13 : romanian census | 1977 | 9267 | none | romania only row 14 : romanian census | 2002 | 6486 | none | romania only row 15 : serbian census | 2002 | none | 1658 | serbia only | col : count ( "*" ) row 1 : 3 | select count ( * ) where population serbia < 19944 <table_name> : table \begin{tabular}{llllll}
\toprule
& source & date & population romania & population serbia & notes \\
\midrule
0 & jozu rill & 1864 & 30,000-35,000 & 30,000-35,000 & none \\
1 & hungarian statistics & 1880 & 18298 & 18298 & none \\
2 & hungarian statistics & 1900 & 19944 & 19944 & none \\
3 & hungarian statistics & 1910 & 13536 & 13536 & "evidently underestimated" \\
4 & various authors & second half of the 19th century & 22,000-26,000 & 22,000-26,000 & "sometimes including the krashovani" \\
5 & romanian census & 1930 & 10012 & none & romanian banat only \\
6 & dimo kazasov & 1936 & none & 3200 & serbian banat only; estimated \\
7 & romanian census & 1939 & 9951 & none & romanian banat only \\
8 & karol telbizov & 1940 & 12000 & none & romanian banat only; estimated \\
9 & mihail georgiev & 1942 & none & up to 4,500 & serbian banat only; estimated \\
10 & romanian census & 1956 & 12040 & none & romania only \\
11 & yugoslav census & 1971 & none & 3745 & serbian banat only \\
12 & romanian census & 1977 & 9267 & none & romania only \\
13 & romanian census & 2002 & 6486 & none & romania only \\
14 & serbian census & 2002 & none & 1658 & serbia only \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 3 \\
\bottomrule
\end{tabular}
| select count ( * ) where population serbia < 19944 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>source</th>
<th>date</th>
<th>population romania</th>
<th>population serbia</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>jozu rill</td>
<td>1864</td>
<td>30,000-35,000</td>
<td>30,000-35,000</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>hungarian statistics</td>
<td>1880</td>
<td>18298</td>
<td>18298</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>hungarian statistics</td>
<td>1900</td>
<td>19944</td>
<td>19944</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>hungarian statistics</td>
<td>1910</td>
<td>13536</td>
<td>13536</td>
<td>"evidently underestimated"</td>
</tr>
<tr>
<th>4</th>
<td>various authors</td>
<td>second half of the 19th century</td>
<td>22,000-26,000</td>
<td>22,000-26,000</td>
<td>"sometimes including the krashovani"</td>
</tr>
<tr>
<th>5</th>
<td>romanian census</td>
<td>1930</td>
<td>10012</td>
<td>none</td>
<td>romanian banat only</td>
</tr>
<tr>
<th>6</th>
<td>dimo kazasov</td>
<td>1936</td>
<td>none</td>
<td>3200</td>
<td>serbian banat only; estimated</td>
</tr>
<tr>
<th>7</th>
<td>romanian census</td>
<td>1939</td>
<td>9951</td>
<td>none</td>
<td>romanian banat only</td>
</tr>
<tr>
<th>8</th>
<td>karol telbizov</td>
<td>1940</td>
<td>12000</td>
<td>none</td>
<td>romanian banat only; estimated</td>
</tr>
<tr>
<th>9</th>
<td>mihail georgiev</td>
<td>1942</td>
<td>none</td>
<td>up to 4,500</td>
<td>serbian banat only; estimated</td>
</tr>
<tr>
<th>10</th>
<td>romanian census</td>
<td>1956</td>
<td>12040</td>
<td>none</td>
<td>romania only</td>
</tr>
<tr>
<th>11</th>
<td>yugoslav census</td>
<td>1971</td>
<td>none</td>
<td>3745</td>
<td>serbian banat only</td>
</tr>
<tr>
<th>12</th>
<td>romanian census</td>
<td>1977</td>
<td>9267</td>
<td>none</td>
<td>romania only</td>
</tr>
<tr>
<th>13</th>
<td>romanian census</td>
<td>2002</td>
<td>6486</td>
<td>none</td>
<td>romania only</td>
</tr>
<tr>
<th>14</th>
<td>serbian census</td>
<td>2002</td>
<td>none</td>
<td>1658</td>
<td>serbia only</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>3</td>
</tr>
</tbody>
</table> | select count ( * ) where population serbia < 19944 <table_name> : table | | source | date | population romania | population serbia | notes |
|---:|:---------------------|:--------------------------------|:---------------------|:--------------------|:-------------------------------------|
| 0 | jozu rill | 1864 | 30,000-35,000 | 30,000-35,000 | none |
| 1 | hungarian statistics | 1880 | 18298 | 18298 | none |
| 2 | hungarian statistics | 1900 | 19944 | 19944 | none |
| 3 | hungarian statistics | 1910 | 13536 | 13536 | "evidently underestimated" |
| 4 | various authors | second half of the 19th century | 22,000-26,000 | 22,000-26,000 | "sometimes including the krashovani" |
| 5 | romanian census | 1930 | 10012 | none | romanian banat only |
| 6 | dimo kazasov | 1936 | none | 3200 | serbian banat only; estimated |
| 7 | romanian census | 1939 | 9951 | none | romanian banat only |
| 8 | karol telbizov | 1940 | 12000 | none | romanian banat only; estimated |
| 9 | mihail georgiev | 1942 | none | up to 4,500 | serbian banat only; estimated |
| 10 | romanian census | 1956 | 12040 | none | romania only |
| 11 | yugoslav census | 1971 | none | 3745 | serbian banat only |
| 12 | romanian census | 1977 | 9267 | none | romania only |
| 13 | romanian census | 2002 | 6486 | none | romania only |
| 14 | serbian census | 2002 | none | 1658 | serbia only | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 3 | | [
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select count ( team ) where team = 'once municipal' col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1 | c.d. aguila | 18 | 9 | 5 | 4 | 24 | 19 | 5 | 32 row 2 : 2 | c.d. fas | 18 | 6 | 8 | 4 | 26 | 17 | 9 | 26 row 3 : 3 | c.d. vista hermosa | 18 | 8 | 2 | 8 | 27 | 22 | 5 | 26 row 4 : 4 | a.d. isidro metapan | 18 | 7 | 5 | 6 | 21 | 22 | -1 | 26 row 5 : 5 | alianza f.c | 18 | 7 | 4 | 7 | 29 | 26 | 3 | 25 row 6 : 6 | c.d. atletico balboa | 18 | 6 | 5 | 7 | 26 | 25 | 1 | 23 row 7 : 7 | san salvador f.c | 18 | 6 | 5 | 7 | 28 | 32 | -4 | 23 row 8 : 8 | c.d. chalatenango | 18 | 5 | 7 | 6 | 19 | 26 | -3 | 22 row 9 : 9 | once municipal | 18 | 5 | 6 | 7 | 24 | 30 | -6 | 21 row 10 : 10 | c.d. luis angel firpo | 18 | 5 | 5 | 8 | 18 | 23 | -5 | 20 | col : count ( "team" ) row 1 : 1 | select count ( team ) where team = 'once municipal' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& place & team & played & won & draw & lost & goals scored & goals conceded & +/- & points \\
\midrule
0 & 1 & c.d. aguila & 18 & 9 & 5 & 4 & 24 & 19 & 5 & 32 \\
1 & 2 & c.d. fas & 18 & 6 & 8 & 4 & 26 & 17 & 9 & 26 \\
2 & 3 & c.d. vista hermosa & 18 & 8 & 2 & 8 & 27 & 22 & 5 & 26 \\
3 & 4 & a.d. isidro metapan & 18 & 7 & 5 & 6 & 21 & 22 & -1 & 26 \\
4 & 5 & alianza f.c & 18 & 7 & 4 & 7 & 29 & 26 & 3 & 25 \\
5 & 6 & c.d. atletico balboa & 18 & 6 & 5 & 7 & 26 & 25 & 1 & 23 \\
6 & 7 & san salvador f.c & 18 & 6 & 5 & 7 & 28 & 32 & -4 & 23 \\
7 & 8 & c.d. chalatenango & 18 & 5 & 7 & 6 & 19 & 26 & -3 & 22 \\
8 & 9 & once municipal & 18 & 5 & 6 & 7 & 24 & 30 & -6 & 21 \\
9 & 10 & c.d. luis angel firpo & 18 & 5 & 5 & 8 & 18 & 23 & -5 & 20 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "team" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( team ) where team = 'once municipal' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>place</th>
<th>team</th>
<th>played</th>
<th>won</th>
<th>draw</th>
<th>lost</th>
<th>goals scored</th>
<th>goals conceded</th>
<th>+/-</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>c.d. aguila</td>
<td>18</td>
<td>9</td>
<td>5</td>
<td>4</td>
<td>24</td>
<td>19</td>
<td>5</td>
<td>32</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>c.d. fas</td>
<td>18</td>
<td>6</td>
<td>8</td>
<td>4</td>
<td>26</td>
<td>17</td>
<td>9</td>
<td>26</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>c.d. vista hermosa</td>
<td>18</td>
<td>8</td>
<td>2</td>
<td>8</td>
<td>27</td>
<td>22</td>
<td>5</td>
<td>26</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>a.d. isidro metapan</td>
<td>18</td>
<td>7</td>
<td>5</td>
<td>6</td>
<td>21</td>
<td>22</td>
<td>-1</td>
<td>26</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>alianza f.c</td>
<td>18</td>
<td>7</td>
<td>4</td>
<td>7</td>
<td>29</td>
<td>26</td>
<td>3</td>
<td>25</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>c.d. atletico balboa</td>
<td>18</td>
<td>6</td>
<td>5</td>
<td>7</td>
<td>26</td>
<td>25</td>
<td>1</td>
<td>23</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>san salvador f.c</td>
<td>18</td>
<td>6</td>
<td>5</td>
<td>7</td>
<td>28</td>
<td>32</td>
<td>-4</td>
<td>23</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>c.d. chalatenango</td>
<td>18</td>
<td>5</td>
<td>7</td>
<td>6</td>
<td>19</td>
<td>26</td>
<td>-3</td>
<td>22</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>once municipal</td>
<td>18</td>
<td>5</td>
<td>6</td>
<td>7</td>
<td>24</td>
<td>30</td>
<td>-6</td>
<td>21</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>c.d. luis angel firpo</td>
<td>18</td>
<td>5</td>
<td>5</td>
<td>8</td>
<td>18</td>
<td>23</td>
<td>-5</td>
<td>20</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "team" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( team ) where team = 'once municipal' <table_name> : table | | place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points |
|---:|--------:|:----------------------|---------:|------:|-------:|-------:|---------------:|-----------------:|------:|---------:|
| 0 | 1 | c.d. aguila | 18 | 9 | 5 | 4 | 24 | 19 | 5 | 32 |
| 1 | 2 | c.d. fas | 18 | 6 | 8 | 4 | 26 | 17 | 9 | 26 |
| 2 | 3 | c.d. vista hermosa | 18 | 8 | 2 | 8 | 27 | 22 | 5 | 26 |
| 3 | 4 | a.d. isidro metapan | 18 | 7 | 5 | 6 | 21 | 22 | -1 | 26 |
| 4 | 5 | alianza f.c | 18 | 7 | 4 | 7 | 29 | 26 | 3 | 25 |
| 5 | 6 | c.d. atletico balboa | 18 | 6 | 5 | 7 | 26 | 25 | 1 | 23 |
| 6 | 7 | san salvador f.c | 18 | 6 | 5 | 7 | 28 | 32 | -4 | 23 |
| 7 | 8 | c.d. chalatenango | 18 | 5 | 7 | 6 | 19 | 26 | -3 | 22 |
| 8 | 9 | once municipal | 18 | 5 | 6 | 7 | 24 | 30 | -6 | 21 |
| 9 | 10 | c.d. luis angel firpo | 18 | 5 | 5 | 8 | 18 | 23 | -5 | 20 | | | | count ( "team" ) |
|---:|-------------------:|
| 0 | 1 | | [
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select role where year = 1999 col : year | title | role | notes row 1 : 1978 | the big fix | pool man | none row 2 : 1979 | french postcards | sayyid | none row 3 : 1979 | last embrace | first commuter | none row 4 : 1980 | night of the juggler | allesandro the cabbie | none row 5 : 1981 | ragtime | tateh | none row 6 : 1983 | yentl | avigdor | nominated-golden globe award for best actor - motion picture musical or comedy row 7 : 1983 | daniel | paul isaacson | none row 8 : 1985 | maxie | nick | none row 9 : 1986 | tenku no shiro rapyuta | louis | none row 10 : 1987 | the princess bride | inigo montoya | none row 11 : 1988 | alien nation | detective samuel 'george' francisco | nominated-saturn award for best supporting actor row 12 : 1988 | the house on carroll street | ray salwen | none row 13 : 1990 | dick tracy | 88 keys | none row 14 : 1991 | true colors | john palmeri | none row 15 : 1991 | impromptu | alfred de musset | none row 16 : 1991 | the doctor | dr. murray kaplan | none row 17 : 1993 | the music of chance | jim nashe | none row 18 : 1993 | life with mikey | irate man | none row 19 : 1994 | squanto: a warrior's tale | brother daniel | none row 20 : 1998 | lulu on the bridge | philip kleinman | none row 21 : 1998 | men with guns | andrew | none row 22 : 1999 | the adventures of elmo in grouchland | huxley | none row 23 : 2001 | pinero | joseph papp | none row 24 : 2002 | run ronnie run | himself | none row 25 : 2003 | celebrity train layouts: mandy patinkin | himself | none row 26 : 2005 | the choking man | rick | none row 27 : 2006 | everyone's hero | stanley irving | none row 28 : 2010 | 4.3.2.1 ... the countdown begins | jago l | none row 29 : 2014 | wish i was here | saul bloom | none | col : role row 1 : huxley | select role where year = 1999 <table_name> : table \begin{tabular}{lllll}
\toprule
& year & title & role & notes \\
\midrule
0 & 1978 & the big fix & pool man & none \\
1 & 1979 & french postcards & sayyid & none \\
2 & 1979 & last embrace & first commuter & none \\
3 & 1980 & night of the juggler & allesandro the cabbie & none \\
4 & 1981 & ragtime & tateh & none \\
5 & 1983 & yentl & avigdor & nominated-golden globe award for best actor - motion picture musical or comedy \\
6 & 1983 & daniel & paul isaacson & none \\
7 & 1985 & maxie & nick & none \\
8 & 1986 & tenku no shiro rapyuta & louis & none \\
9 & 1987 & the princess bride & inigo montoya & none \\
10 & 1988 & alien nation & detective samuel 'george' francisco & nominated-saturn award for best supporting actor \\
11 & 1988 & the house on carroll street & ray salwen & none \\
12 & 1990 & dick tracy & 88 keys & none \\
13 & 1991 & true colors & john palmeri & none \\
14 & 1991 & impromptu & alfred de musset & none \\
15 & 1991 & the doctor & dr. murray kaplan & none \\
16 & 1993 & the music of chance & jim nashe & none \\
17 & 1993 & life with mikey & irate man & none \\
18 & 1994 & squanto: a warrior's tale & brother daniel & none \\
19 & 1998 & lulu on the bridge & philip kleinman & none \\
20 & 1998 & men with guns & andrew & none \\
21 & 1999 & the adventures of elmo in grouchland & huxley & none \\
22 & 2001 & pinero & joseph papp & none \\
23 & 2002 & run ronnie run & himself & none \\
24 & 2003 & celebrity train layouts: mandy patinkin & himself & none \\
25 & 2005 & the choking man & rick & none \\
26 & 2006 & everyone's hero & stanley irving & none \\
27 & 2010 & 4.3.2.1 ... the countdown begins & jago l & none \\
28 & 2014 & wish i was here & saul bloom & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& role \\
\midrule
0 & huxley \\
\bottomrule
\end{tabular}
| select role where year = 1999 <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>1978</td>
<td>the big fix</td>
<td>pool man</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1979</td>
<td>french postcards</td>
<td>sayyid</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1979</td>
<td>last embrace</td>
<td>first commuter</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1980</td>
<td>night of the juggler</td>
<td>allesandro the cabbie</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1981</td>
<td>ragtime</td>
<td>tateh</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1983</td>
<td>yentl</td>
<td>avigdor</td>
<td>nominated-golden globe award for best actor - motion picture musical or comedy</td>
</tr>
<tr>
<th>6</th>
<td>1983</td>
<td>daniel</td>
<td>paul isaacson</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1985</td>
<td>maxie</td>
<td>nick</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>1986</td>
<td>tenku no shiro rapyuta</td>
<td>louis</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>1987</td>
<td>the princess bride</td>
<td>inigo montoya</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>1988</td>
<td>alien nation</td>
<td>detective samuel 'george' francisco</td>
<td>nominated-saturn award for best supporting actor</td>
</tr>
<tr>
<th>11</th>
<td>1988</td>
<td>the house on carroll street</td>
<td>ray salwen</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>1990</td>
<td>dick tracy</td>
<td>88 keys</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>1991</td>
<td>true colors</td>
<td>john palmeri</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>1991</td>
<td>impromptu</td>
<td>alfred de musset</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>1991</td>
<td>the doctor</td>
<td>dr. murray kaplan</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>1993</td>
<td>the music of chance</td>
<td>jim nashe</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>1993</td>
<td>life with mikey</td>
<td>irate man</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>1994</td>
<td>squanto: a warrior's tale</td>
<td>brother daniel</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>1998</td>
<td>lulu on the bridge</td>
<td>philip kleinman</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>1998</td>
<td>men with guns</td>
<td>andrew</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>1999</td>
<td>the adventures of elmo in grouchland</td>
<td>huxley</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>2001</td>
<td>pinero</td>
<td>joseph papp</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>2002</td>
<td>run ronnie run</td>
<td>himself</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>2003</td>
<td>celebrity train layouts: mandy patinkin</td>
<td>himself</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>2005</td>
<td>the choking man</td>
<td>rick</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>2006</td>
<td>everyone's hero</td>
<td>stanley irving</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>2010</td>
<td>4.3.2.1 ... the countdown begins</td>
<td>jago l</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>2014</td>
<td>wish i was here</td>
<td>saul bloom</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>role</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>huxley</td>
</tr>
</tbody>
</table> | select role where year = 1999 <table_name> : table | | year | title | role | notes |
|---:|-------:|:----------------------------------------|:------------------------------------|:-------------------------------------------------------------------------------|
| 0 | 1978 | the big fix | pool man | none |
| 1 | 1979 | french postcards | sayyid | none |
| 2 | 1979 | last embrace | first commuter | none |
| 3 | 1980 | night of the juggler | allesandro the cabbie | none |
| 4 | 1981 | ragtime | tateh | none |
| 5 | 1983 | yentl | avigdor | nominated-golden globe award for best actor - motion picture musical or comedy |
| 6 | 1983 | daniel | paul isaacson | none |
| 7 | 1985 | maxie | nick | none |
| 8 | 1986 | tenku no shiro rapyuta | louis | none |
| 9 | 1987 | the princess bride | inigo montoya | none |
| 10 | 1988 | alien nation | detective samuel 'george' francisco | nominated-saturn award for best supporting actor |
| 11 | 1988 | the house on carroll street | ray salwen | none |
| 12 | 1990 | dick tracy | 88 keys | none |
| 13 | 1991 | true colors | john palmeri | none |
| 14 | 1991 | impromptu | alfred de musset | none |
| 15 | 1991 | the doctor | dr. murray kaplan | none |
| 16 | 1993 | the music of chance | jim nashe | none |
| 17 | 1993 | life with mikey | irate man | none |
| 18 | 1994 | squanto: a warrior's tale | brother daniel | none |
| 19 | 1998 | lulu on the bridge | philip kleinman | none |
| 20 | 1998 | men with guns | andrew | none |
| 21 | 1999 | the adventures of elmo in grouchland | huxley | none |
| 22 | 2001 | pinero | joseph papp | none |
| 23 | 2002 | run ronnie run | himself | none |
| 24 | 2003 | celebrity train layouts: mandy patinkin | himself | none |
| 25 | 2005 | the choking man | rick | none |
| 26 | 2006 | everyone's hero | stanley irving | none |
| 27 | 2010 | 4.3.2.1 ... the countdown begins | jago l | none |
| 28 | 2014 | wish i was here | saul bloom | none | | | | role |
|---:|:-------|
| 0 | huxley | | [
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select count ( * ) where venue = 'a' 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 ( "*" ) row 1 : 4 | select count ( * ) where venue = 'a' <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 ( "*" ) \\
\midrule
0 & 4 \\
\bottomrule
\end{tabular}
| select count ( * ) where venue = 'a' <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 ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
</tbody>
</table> | select count ( * ) where venue = 'a' <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 ( "*" ) |
|---:|----------------:|
| 0 | 4 | | [
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select team where team = 'unione cestistica piacentina piacenza' order by seasons asc limit 1 col : seasons | team | ch.wins | promotions | relegations row 1 : 10 | basket rimini crabs | 0 | 0 | 0 row 2 : 10 | aurora basket jesi | 0 | 1 | 1 row 3 : 10 | andrea costa imola | 0 | 0 | 3 row 4 : 9 | nuova pallacanestro pavia | 0 | 0 | 0 row 5 : 9 | scafati basket | 1 | 1 | 0 row 6 : 8 | basket club ferrara | 1 | 1 | 0 row 7 : 8 | pallac. reggiana reggio emilia | 2 | 2 | 0 row 8 : 7 | novara | 0 | 0 | 3 row 9 : 7 | dinamo basket sassari | 0 | 1 | 0 row 10 : 6 | a.s. junior pallacanestro casale | 1 | 1 | 1 row 11 : 5 | rb montecatini terme | 0 | 0 | 1 row 12 : 5 | fabriano basket | 0 | 0 | 1 row 13 : 5 | societa veroli basket | 0 | 0 | 0 row 14 : 5 | pistoia basket 2000 | 0 | 0 | 0 row 15 : 4 | juve caserta basket | 0 | 1 | 0 row 16 : 3 | gruppo triboldi basket soresina | 0 | 1 | 0 row 17 : 3 | nuova sebastiani rieti | 1 | 1 | 0 row 18 : 3 | progresso castelmaggiore | 0 | 0 | 0 row 19 : 3 | orlandina basket | 1 | 1 | 1 row 20 : 3 | sutor basket montegranaro | 0 | 1 | 1 row 21 : 3 | virtus ragusa | 0 | 0 | 1 row 22 : 3 | robur basket osimo | 0 | 0 | 1 row 23 : 3 | reyer venezia | 0 | 1 | 0 row 24 : 3 | new basket brindisi | 1 | 2 | 0 row 25 : 2 | pallacanestro messina | 0 | 1 | 0 row 26 : 2 | basket trapani | 0 | 0 | 1 row 27 : 2 | basket draghi castelletto ticino | 0 | 0 | 0 row 28 : 2 | basket livorno | 0 | 0 | 0 row 29 : 2 | pallalcesto amatori udine | 0 | 0 | 0 row 30 : 2 | unione cestistica casalpusterlengo | 0 | 0 | 0 row 31 : 2 | basket barcellona | 0 | 0 | 0 row 32 : 2 | fulgor libertas forli | 0 | 0 | 1 row 33 : 2 | scaligera basket verona | 0 | 0 | 1 row 34 : 1 | societa sportiva basket napoli | 1 | 1 | 0 row 35 : 1 | centro sportivo borgomanero | 0 | 0 | 0 row 36 : 1 | celana basket bergamo | 0 | 0 | 1 row 37 : 1 | teramo basket | 1 | 1 | 0 row 38 : 1 | virtus pallacanestro bologna | 0 | 1 | 0 row 39 : 1 | viola reggio calabria | 0 | 0 | 0 row 40 : 1 | victoria libertas pesaro | 0 | 1 | 0 row 41 : 1 | pallacanestro varese | 1 | 1 | 0 row 42 : 1 | pallacanestro roseto | 0 | 0 | 1 row 43 : 1 | nuova pallacanestro vigevano | 0 | 0 | 0 row 44 : 1 | cestistica san severo | 0 | 0 | 1 row 45 : 1 | basket brescia leonessa | 0 | 0 | 0 row 46 : 1 | unione cestistica piacentina piacenza | 0 | 0 | 0 row 47 : 1 | pallacanestro sant'antimo | 0 | 0 | 0 row 48 : 1 | ostuni basket | 0 | 0 | 0 row 49 : 1 | biancoblu basket bologna | 0 | 0 | 0 | col : team row 1 : unione cestistica piacentina piacenza | select team where team = 'unione cestistica piacentina piacenza' order by seasons asc limit 1 <table_name> : table \begin{tabular}{llllll}
\toprule
& seasons & team & ch.wins & promotions & relegations \\
\midrule
0 & 10 & basket rimini crabs & 0 & 0 & 0 \\
1 & 10 & aurora basket jesi & 0 & 1 & 1 \\
2 & 10 & andrea costa imola & 0 & 0 & 3 \\
3 & 9 & nuova pallacanestro pavia & 0 & 0 & 0 \\
4 & 9 & scafati basket & 1 & 1 & 0 \\
5 & 8 & basket club ferrara & 1 & 1 & 0 \\
6 & 8 & pallac. reggiana reggio emilia & 2 & 2 & 0 \\
7 & 7 & novara & 0 & 0 & 3 \\
8 & 7 & dinamo basket sassari & 0 & 1 & 0 \\
9 & 6 & a.s. junior pallacanestro casale & 1 & 1 & 1 \\
10 & 5 & rb montecatini terme & 0 & 0 & 1 \\
11 & 5 & fabriano basket & 0 & 0 & 1 \\
12 & 5 & societa veroli basket & 0 & 0 & 0 \\
13 & 5 & pistoia basket 2000 & 0 & 0 & 0 \\
14 & 4 & juve caserta basket & 0 & 1 & 0 \\
15 & 3 & gruppo triboldi basket soresina & 0 & 1 & 0 \\
16 & 3 & nuova sebastiani rieti & 1 & 1 & 0 \\
17 & 3 & progresso castelmaggiore & 0 & 0 & 0 \\
18 & 3 & orlandina basket & 1 & 1 & 1 \\
19 & 3 & sutor basket montegranaro & 0 & 1 & 1 \\
20 & 3 & virtus ragusa & 0 & 0 & 1 \\
21 & 3 & robur basket osimo & 0 & 0 & 1 \\
22 & 3 & reyer venezia & 0 & 1 & 0 \\
23 & 3 & new basket brindisi & 1 & 2 & 0 \\
24 & 2 & pallacanestro messina & 0 & 1 & 0 \\
25 & 2 & basket trapani & 0 & 0 & 1 \\
26 & 2 & basket draghi castelletto ticino & 0 & 0 & 0 \\
27 & 2 & basket livorno & 0 & 0 & 0 \\
28 & 2 & pallalcesto amatori udine & 0 & 0 & 0 \\
29 & 2 & unione cestistica casalpusterlengo & 0 & 0 & 0 \\
30 & 2 & basket barcellona & 0 & 0 & 0 \\
31 & 2 & fulgor libertas forli & 0 & 0 & 1 \\
32 & 2 & scaligera basket verona & 0 & 0 & 1 \\
33 & 1 & societa sportiva basket napoli & 1 & 1 & 0 \\
34 & 1 & centro sportivo borgomanero & 0 & 0 & 0 \\
35 & 1 & celana basket bergamo & 0 & 0 & 1 \\
36 & 1 & teramo basket & 1 & 1 & 0 \\
37 & 1 & virtus pallacanestro bologna & 0 & 1 & 0 \\
38 & 1 & viola reggio calabria & 0 & 0 & 0 \\
39 & 1 & victoria libertas pesaro & 0 & 1 & 0 \\
40 & 1 & pallacanestro varese & 1 & 1 & 0 \\
41 & 1 & pallacanestro roseto & 0 & 0 & 1 \\
42 & 1 & nuova pallacanestro vigevano & 0 & 0 & 0 \\
43 & 1 & cestistica san severo & 0 & 0 & 1 \\
44 & 1 & basket brescia leonessa & 0 & 0 & 0 \\
45 & 1 & unione cestistica piacentina piacenza & 0 & 0 & 0 \\
46 & 1 & pallacanestro sant'antimo & 0 & 0 & 0 \\
47 & 1 & ostuni basket & 0 & 0 & 0 \\
48 & 1 & biancoblu basket bologna & 0 & 0 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& team \\
\midrule
0 & unione cestistica piacentina piacenza \\
\bottomrule
\end{tabular}
| select team where team = 'unione cestistica piacentina piacenza' order by seasons asc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>seasons</th>
<th>team</th>
<th>ch.wins</th>
<th>promotions</th>
<th>relegations</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10</td>
<td>basket rimini crabs</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>10</td>
<td>aurora basket jesi</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>10</td>
<td>andrea costa imola</td>
<td>0</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>3</th>
<td>9</td>
<td>nuova pallacanestro pavia</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>9</td>
<td>scafati basket</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>8</td>
<td>basket club ferrara</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>8</td>
<td>pallac. reggiana reggio emilia</td>
<td>2</td>
<td>2</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>novara</td>
<td>0</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>8</th>
<td>7</td>
<td>dinamo basket sassari</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>6</td>
<td>a.s. junior pallacanestro casale</td>
<td>1</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>10</th>
<td>5</td>
<td>rb montecatini terme</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>5</td>
<td>fabriano basket</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>5</td>
<td>societa veroli basket</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>5</td>
<td>pistoia basket 2000</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>4</td>
<td>juve caserta basket</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>3</td>
<td>gruppo triboldi basket soresina</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>3</td>
<td>nuova sebastiani rieti</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>17</th>
<td>3</td>
<td>progresso castelmaggiore</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>18</th>
<td>3</td>
<td>orlandina basket</td>
<td>1</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>19</th>
<td>3</td>
<td>sutor basket montegranaro</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>3</td>
<td>virtus ragusa</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>21</th>
<td>3</td>
<td>robur basket osimo</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>22</th>
<td>3</td>
<td>reyer venezia</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>23</th>
<td>3</td>
<td>new basket brindisi</td>
<td>1</td>
<td>2</td>
<td>0</td>
</tr>
<tr>
<th>24</th>
<td>2</td>
<td>pallacanestro messina</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>25</th>
<td>2</td>
<td>basket trapani</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>26</th>
<td>2</td>
<td>basket draghi castelletto ticino</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>27</th>
<td>2</td>
<td>basket livorno</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>28</th>
<td>2</td>
<td>pallalcesto amatori udine</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>29</th>
<td>2</td>
<td>unione cestistica casalpusterlengo</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>30</th>
<td>2</td>
<td>basket barcellona</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>31</th>
<td>2</td>
<td>fulgor libertas forli</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>32</th>
<td>2</td>
<td>scaligera basket verona</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>33</th>
<td>1</td>
<td>societa sportiva basket napoli</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>34</th>
<td>1</td>
<td>centro sportivo borgomanero</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>35</th>
<td>1</td>
<td>celana basket bergamo</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>36</th>
<td>1</td>
<td>teramo basket</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>37</th>
<td>1</td>
<td>virtus pallacanestro bologna</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>38</th>
<td>1</td>
<td>viola reggio calabria</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>39</th>
<td>1</td>
<td>victoria libertas pesaro</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>40</th>
<td>1</td>
<td>pallacanestro varese</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>41</th>
<td>1</td>
<td>pallacanestro roseto</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>42</th>
<td>1</td>
<td>nuova pallacanestro vigevano</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>43</th>
<td>1</td>
<td>cestistica san severo</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>44</th>
<td>1</td>
<td>basket brescia leonessa</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>45</th>
<td>1</td>
<td>unione cestistica piacentina piacenza</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>46</th>
<td>1</td>
<td>pallacanestro sant'antimo</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>47</th>
<td>1</td>
<td>ostuni basket</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>48</th>
<td>1</td>
<td>biancoblu basket bologna</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>team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>unione cestistica piacentina piacenza</td>
</tr>
</tbody>
</table> | select team where team = 'unione cestistica piacentina piacenza' order by seasons asc limit 1 <table_name> : table | | seasons | team | ch.wins | promotions | relegations |
|---:|----------:|:--------------------------------------|----------:|-------------:|--------------:|
| 0 | 10 | basket rimini crabs | 0 | 0 | 0 |
| 1 | 10 | aurora basket jesi | 0 | 1 | 1 |
| 2 | 10 | andrea costa imola | 0 | 0 | 3 |
| 3 | 9 | nuova pallacanestro pavia | 0 | 0 | 0 |
| 4 | 9 | scafati basket | 1 | 1 | 0 |
| 5 | 8 | basket club ferrara | 1 | 1 | 0 |
| 6 | 8 | pallac. reggiana reggio emilia | 2 | 2 | 0 |
| 7 | 7 | novara | 0 | 0 | 3 |
| 8 | 7 | dinamo basket sassari | 0 | 1 | 0 |
| 9 | 6 | a.s. junior pallacanestro casale | 1 | 1 | 1 |
| 10 | 5 | rb montecatini terme | 0 | 0 | 1 |
| 11 | 5 | fabriano basket | 0 | 0 | 1 |
| 12 | 5 | societa veroli basket | 0 | 0 | 0 |
| 13 | 5 | pistoia basket 2000 | 0 | 0 | 0 |
| 14 | 4 | juve caserta basket | 0 | 1 | 0 |
| 15 | 3 | gruppo triboldi basket soresina | 0 | 1 | 0 |
| 16 | 3 | nuova sebastiani rieti | 1 | 1 | 0 |
| 17 | 3 | progresso castelmaggiore | 0 | 0 | 0 |
| 18 | 3 | orlandina basket | 1 | 1 | 1 |
| 19 | 3 | sutor basket montegranaro | 0 | 1 | 1 |
| 20 | 3 | virtus ragusa | 0 | 0 | 1 |
| 21 | 3 | robur basket osimo | 0 | 0 | 1 |
| 22 | 3 | reyer venezia | 0 | 1 | 0 |
| 23 | 3 | new basket brindisi | 1 | 2 | 0 |
| 24 | 2 | pallacanestro messina | 0 | 1 | 0 |
| 25 | 2 | basket trapani | 0 | 0 | 1 |
| 26 | 2 | basket draghi castelletto ticino | 0 | 0 | 0 |
| 27 | 2 | basket livorno | 0 | 0 | 0 |
| 28 | 2 | pallalcesto amatori udine | 0 | 0 | 0 |
| 29 | 2 | unione cestistica casalpusterlengo | 0 | 0 | 0 |
| 30 | 2 | basket barcellona | 0 | 0 | 0 |
| 31 | 2 | fulgor libertas forli | 0 | 0 | 1 |
| 32 | 2 | scaligera basket verona | 0 | 0 | 1 |
| 33 | 1 | societa sportiva basket napoli | 1 | 1 | 0 |
| 34 | 1 | centro sportivo borgomanero | 0 | 0 | 0 |
| 35 | 1 | celana basket bergamo | 0 | 0 | 1 |
| 36 | 1 | teramo basket | 1 | 1 | 0 |
| 37 | 1 | virtus pallacanestro bologna | 0 | 1 | 0 |
| 38 | 1 | viola reggio calabria | 0 | 0 | 0 |
| 39 | 1 | victoria libertas pesaro | 0 | 1 | 0 |
| 40 | 1 | pallacanestro varese | 1 | 1 | 0 |
| 41 | 1 | pallacanestro roseto | 0 | 0 | 1 |
| 42 | 1 | nuova pallacanestro vigevano | 0 | 0 | 0 |
| 43 | 1 | cestistica san severo | 0 | 0 | 1 |
| 44 | 1 | basket brescia leonessa | 0 | 0 | 0 |
| 45 | 1 | unione cestistica piacentina piacenza | 0 | 0 | 0 |
| 46 | 1 | pallacanestro sant'antimo | 0 | 0 | 0 |
| 47 | 1 | ostuni basket | 0 | 0 | 0 |
| 48 | 1 | biancoblu basket bologna | 0 | 0 | 0 | | | | team |
|---:|:--------------------------------------|
| 0 | unione cestistica piacentina piacenza | | [
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select pick # where college = 'tuskegee' col : pick # | nfl team | player | position | college row 1 : 417 | buffalo bills | wayne lineberry | linebacker | east carolina row 2 : 418 | atlanta falcons | paul williams | running back | california row 3 : 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) row 4 : 420 | pittsburgh steelers | bill eppright | kicker | kent state row 5 : 421 | cincinnati bengals | terry story | tackle | georgia tech row 6 : 422 | boston patriots | george muse | linebacker | grambling row 7 : 423 | new orleans saints | chico kurzawski | defensive back | northwestern row 8 : 424 | detroit lions | gary steele | tight end | army row 9 : 425 | denver broncos | buster o'brien | quarterback | richmond row 10 : 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) row 11 : 427 | miami dolphins | tom krallman | defensive end | xavier row 12 : 428 | green bay packers | john mack | running back | central missouri row 13 : 429 | new york giants | ken riley | linebacker | texas-arlington row 14 : 430 | houston oilers | hank autry | center | southern mississippi row 15 : 431 | chicago bears | bob long | wide receiver | texas a&m row 16 : 432 | san francisco 49ers | joe rushing | linebacker | memphis state row 17 : 433 | minnesota vikings | wendell housely | running back | texas a&m row 18 : 434 | san diego chargers | larry rentz | defensive back | florida row 19 : 435 | st. louis cardinals | george hummer | center | arizona state row 20 : 436 | cleveland browns | bob oliver | defensive end | abilene christian row 21 : 437 | los angeles rams | jim thorpe | defensive back | hofstra row 22 : 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee row 23 : 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark row 24 : 440 | oakland raiders | billy austin | tight end | arkansas am&n row 25 : 441 | baltimore colts | joe cowan | wide receiver | johns hopkins row 26 : 442 | new york jets | fred zirkie | defensive tackle | duke | col : pick # row 1 : 438 | select pick # where college = 'tuskegee' <table_name> : table \begin{tabular}{llllll}
\toprule
& pick # & nfl team & player & position & college \\
\midrule
0 & 417 & buffalo bills & wayne lineberry & linebacker & east carolina \\
1 & 418 & atlanta falcons & paul williams & running back & california \\
2 & 419 & philadelphia eagles & bob haack & tackle & linfield (ore.) \\
3 & 420 & pittsburgh steelers & bill eppright & kicker & kent state \\
4 & 421 & cincinnati bengals & terry story & tackle & georgia tech \\
5 & 422 & boston patriots & george muse & linebacker & grambling \\
6 & 423 & new orleans saints & chico kurzawski & defensive back & northwestern \\
7 & 424 & detroit lions & gary steele & tight end & army \\
8 & 425 & denver broncos & buster o'brien & quarterback & richmond \\
9 & 426 & washington redskins & rich dobbert & defensive end & springfield (mass.) \\
10 & 427 & miami dolphins & tom krallman & defensive end & xavier \\
11 & 428 & green bay packers & john mack & running back & central missouri \\
12 & 429 & new york giants & ken riley & linebacker & texas-arlington \\
13 & 430 & houston oilers & hank autry & center & southern mississippi \\
14 & 431 & chicago bears & bob long & wide receiver & texas a&m \\
15 & 432 & san francisco 49ers & joe rushing & linebacker & memphis state \\
16 & 433 & minnesota vikings & wendell housely & running back & texas a&m \\
17 & 434 & san diego chargers & larry rentz & defensive back & florida \\
18 & 435 & st. louis cardinals & george hummer & center & arizona state \\
19 & 436 & cleveland browns & bob oliver & defensive end & abilene christian \\
20 & 437 & los angeles rams & jim thorpe & defensive back & hofstra \\
21 & 438 & kansas city chiefs & ralph jenkins & defensive back & tuskegee \\
22 & 439 & dallas cowboys & bill bailey & defensive tackle & lewis & clark \\
23 & 440 & oakland raiders & billy austin & tight end & arkansas am&n \\
24 & 441 & baltimore colts & joe cowan & wide receiver & johns hopkins \\
25 & 442 & new york jets & fred zirkie & defensive tackle & duke \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& pick # \\
\midrule
0 & 438 \\
\bottomrule
\end{tabular}
| select pick # where college = 'tuskegee' <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>417</td>
<td>buffalo bills</td>
<td>wayne lineberry</td>
<td>linebacker</td>
<td>east carolina</td>
</tr>
<tr>
<th>1</th>
<td>418</td>
<td>atlanta falcons</td>
<td>paul williams</td>
<td>running back</td>
<td>california</td>
</tr>
<tr>
<th>2</th>
<td>419</td>
<td>philadelphia eagles</td>
<td>bob haack</td>
<td>tackle</td>
<td>linfield (ore.)</td>
</tr>
<tr>
<th>3</th>
<td>420</td>
<td>pittsburgh steelers</td>
<td>bill eppright</td>
<td>kicker</td>
<td>kent state</td>
</tr>
<tr>
<th>4</th>
<td>421</td>
<td>cincinnati bengals</td>
<td>terry story</td>
<td>tackle</td>
<td>georgia tech</td>
</tr>
<tr>
<th>5</th>
<td>422</td>
<td>boston patriots</td>
<td>george muse</td>
<td>linebacker</td>
<td>grambling</td>
</tr>
<tr>
<th>6</th>
<td>423</td>
<td>new orleans saints</td>
<td>chico kurzawski</td>
<td>defensive back</td>
<td>northwestern</td>
</tr>
<tr>
<th>7</th>
<td>424</td>
<td>detroit lions</td>
<td>gary steele</td>
<td>tight end</td>
<td>army</td>
</tr>
<tr>
<th>8</th>
<td>425</td>
<td>denver broncos</td>
<td>buster o'brien</td>
<td>quarterback</td>
<td>richmond</td>
</tr>
<tr>
<th>9</th>
<td>426</td>
<td>washington redskins</td>
<td>rich dobbert</td>
<td>defensive end</td>
<td>springfield (mass.)</td>
</tr>
<tr>
<th>10</th>
<td>427</td>
<td>miami dolphins</td>
<td>tom krallman</td>
<td>defensive end</td>
<td>xavier</td>
</tr>
<tr>
<th>11</th>
<td>428</td>
<td>green bay packers</td>
<td>john mack</td>
<td>running back</td>
<td>central missouri</td>
</tr>
<tr>
<th>12</th>
<td>429</td>
<td>new york giants</td>
<td>ken riley</td>
<td>linebacker</td>
<td>texas-arlington</td>
</tr>
<tr>
<th>13</th>
<td>430</td>
<td>houston oilers</td>
<td>hank autry</td>
<td>center</td>
<td>southern mississippi</td>
</tr>
<tr>
<th>14</th>
<td>431</td>
<td>chicago bears</td>
<td>bob long</td>
<td>wide receiver</td>
<td>texas a&m</td>
</tr>
<tr>
<th>15</th>
<td>432</td>
<td>san francisco 49ers</td>
<td>joe rushing</td>
<td>linebacker</td>
<td>memphis state</td>
</tr>
<tr>
<th>16</th>
<td>433</td>
<td>minnesota vikings</td>
<td>wendell housely</td>
<td>running back</td>
<td>texas a&m</td>
</tr>
<tr>
<th>17</th>
<td>434</td>
<td>san diego chargers</td>
<td>larry rentz</td>
<td>defensive back</td>
<td>florida</td>
</tr>
<tr>
<th>18</th>
<td>435</td>
<td>st. louis cardinals</td>
<td>george hummer</td>
<td>center</td>
<td>arizona state</td>
</tr>
<tr>
<th>19</th>
<td>436</td>
<td>cleveland browns</td>
<td>bob oliver</td>
<td>defensive end</td>
<td>abilene christian</td>
</tr>
<tr>
<th>20</th>
<td>437</td>
<td>los angeles rams</td>
<td>jim thorpe</td>
<td>defensive back</td>
<td>hofstra</td>
</tr>
<tr>
<th>21</th>
<td>438</td>
<td>kansas city chiefs</td>
<td>ralph jenkins</td>
<td>defensive back</td>
<td>tuskegee</td>
</tr>
<tr>
<th>22</th>
<td>439</td>
<td>dallas cowboys</td>
<td>bill bailey</td>
<td>defensive tackle</td>
<td>lewis & clark</td>
</tr>
<tr>
<th>23</th>
<td>440</td>
<td>oakland raiders</td>
<td>billy austin</td>
<td>tight end</td>
<td>arkansas am&n</td>
</tr>
<tr>
<th>24</th>
<td>441</td>
<td>baltimore colts</td>
<td>joe cowan</td>
<td>wide receiver</td>
<td>johns hopkins</td>
</tr>
<tr>
<th>25</th>
<td>442</td>
<td>new york jets</td>
<td>fred zirkie</td>
<td>defensive tackle</td>
<td>duke</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>438</td>
</tr>
</tbody>
</table> | select pick # where college = 'tuskegee' <table_name> : table | | pick # | nfl team | player | position | college |
|---:|---------:|:--------------------|:----------------|:-----------------|:---------------------|
| 0 | 417 | buffalo bills | wayne lineberry | linebacker | east carolina |
| 1 | 418 | atlanta falcons | paul williams | running back | california |
| 2 | 419 | philadelphia eagles | bob haack | tackle | linfield (ore.) |
| 3 | 420 | pittsburgh steelers | bill eppright | kicker | kent state |
| 4 | 421 | cincinnati bengals | terry story | tackle | georgia tech |
| 5 | 422 | boston patriots | george muse | linebacker | grambling |
| 6 | 423 | new orleans saints | chico kurzawski | defensive back | northwestern |
| 7 | 424 | detroit lions | gary steele | tight end | army |
| 8 | 425 | denver broncos | buster o'brien | quarterback | richmond |
| 9 | 426 | washington redskins | rich dobbert | defensive end | springfield (mass.) |
| 10 | 427 | miami dolphins | tom krallman | defensive end | xavier |
| 11 | 428 | green bay packers | john mack | running back | central missouri |
| 12 | 429 | new york giants | ken riley | linebacker | texas-arlington |
| 13 | 430 | houston oilers | hank autry | center | southern mississippi |
| 14 | 431 | chicago bears | bob long | wide receiver | texas a&m |
| 15 | 432 | san francisco 49ers | joe rushing | linebacker | memphis state |
| 16 | 433 | minnesota vikings | wendell housely | running back | texas a&m |
| 17 | 434 | san diego chargers | larry rentz | defensive back | florida |
| 18 | 435 | st. louis cardinals | george hummer | center | arizona state |
| 19 | 436 | cleveland browns | bob oliver | defensive end | abilene christian |
| 20 | 437 | los angeles rams | jim thorpe | defensive back | hofstra |
| 21 | 438 | kansas city chiefs | ralph jenkins | defensive back | tuskegee |
| 22 | 439 | dallas cowboys | bill bailey | defensive tackle | lewis & clark |
| 23 | 440 | oakland raiders | billy austin | tight end | arkansas am&n |
| 24 | 441 | baltimore colts | joe cowan | wide receiver | johns hopkins |
| 25 | 442 | new york jets | fred zirkie | defensive tackle | duke | | | | pick # |
|---:|---------:|
| 0 | 438 | | [
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select bronze where date = '21 january' col : occasion # | location | date | gold | time -1 | silver | time -2 | bronze | time -3 | report row 1 : 1 | chelyabinsk, russia | 18 november | pekka koskela finland | 35.0 | jan smeekens netherlands | 35.01 | yuya oikawa japan | 35.07 | row 2 : 1 | chelyabinsk, russia | 19 november | joji kato japan | 34.92 | mo tae-bum south korea | 35.01 | yuya oikawa japan | 35.14 | row 3 : 2 | astana, kazakhstan | 25 november | mo tae-bum south korea | 34.89 | tucker fredricks united states | 34.94 | stefan groothuis netherlands | 35.01 | row 4 : 2 | astana, kazakhstan | 26 november | jan smeekens netherlands | 35.05 | mo tae-bum south korea | 35.06 | tucker fredricks united states | 35.19 | row 5 : 3 | heerenveen, netherlands | 2 december | tucker fredricks united states | 34.98 | joji kato japan | 35.07 | mo tae-bum south korea | 35.08 | row 6 : 3 | heerenveen, netherlands | 3 december | pekka koskela finland | 35.01 | joji kato japan | 35.02 | jesper hospes netherlands | 35.06 | row 7 : 4 | salt lake city, united states | 21 january | keiichiro nagashima japan | 34.37 | jan smeekens netherlands | 34.4 | tucker fredricks united states | 34.45 | row 8 : 4 | salt lake city, united states | 22 january | dmitry lobkov russia | 34.54 | keiichiro nagashima japan | 34.57 | tucker fredricks united states | 34.6 | row 9 : 6 | heerenveen, netherlands | 2 march | dmitry lobkov russia | 35.11 | hein otterspeer netherlands | 35.14 | keiichiro nagashima japan | 35.2 | row 10 : 6 | heerenveen, netherlands | 3 march | tucker fredricks united states | 35.05 | michel mulder netherlands | 35.12 | joji kato japan | 35.16 | row 11 : 7 | berlin, germany | 9 march | jamie gregg canada | 35.06 | pekka koskela finland | 35.07 | mo tae-bum south korea | 35.17 | row 12 : 7 | berlin, germany | 10 march | michel mulder netherlands | 35.01 | mo tae-bum south korea | 35.04 | jan smeekens netherlands | 35.08 | | col : bronze row 1 : tucker fredricks united states | select bronze where date = '21 january' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& occasion # & location & date & gold & time -1 & silver & time -2 & bronze & time -3 & report \\
\midrule
0 & 1 & chelyabinsk, russia & 18 november & pekka koskela finland & 35.0 & jan smeekens netherlands & 35.01 & yuya oikawa japan & 35.07 & \\
1 & 1 & chelyabinsk, russia & 19 november & joji kato japan & 34.92 & mo tae-bum south korea & 35.01 & yuya oikawa japan & 35.14 & \\
2 & 2 & astana, kazakhstan & 25 november & mo tae-bum south korea & 34.89 & tucker fredricks united states & 34.94 & stefan groothuis netherlands & 35.01 & \\
3 & 2 & astana, kazakhstan & 26 november & jan smeekens netherlands & 35.05 & mo tae-bum south korea & 35.06 & tucker fredricks united states & 35.19 & \\
4 & 3 & heerenveen, netherlands & 2 december & tucker fredricks united states & 34.98 & joji kato japan & 35.07 & mo tae-bum south korea & 35.08 & \\
5 & 3 & heerenveen, netherlands & 3 december & pekka koskela finland & 35.01 & joji kato japan & 35.02 & jesper hospes netherlands & 35.06 & \\
6 & 4 & salt lake city, united states & 21 january & keiichiro nagashima japan & 34.37 & jan smeekens netherlands & 34.4 & tucker fredricks united states & 34.45 & \\
7 & 4 & salt lake city, united states & 22 january & dmitry lobkov russia & 34.54 & keiichiro nagashima japan & 34.57 & tucker fredricks united states & 34.6 & \\
8 & 6 & heerenveen, netherlands & 2 march & dmitry lobkov russia & 35.11 & hein otterspeer netherlands & 35.14 & keiichiro nagashima japan & 35.2 & \\
9 & 6 & heerenveen, netherlands & 3 march & tucker fredricks united states & 35.05 & michel mulder netherlands & 35.12 & joji kato japan & 35.16 & \\
10 & 7 & berlin, germany & 9 march & jamie gregg canada & 35.06 & pekka koskela finland & 35.07 & mo tae-bum south korea & 35.17 & \\
11 & 7 & berlin, germany & 10 march & michel mulder netherlands & 35.01 & mo tae-bum south korea & 35.04 & jan smeekens netherlands & 35.08 | & NaN \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& bronze \\
\midrule
0 & tucker fredricks united states \\
\bottomrule
\end{tabular}
| select bronze where date = '21 january' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>occasion #</th>
<th>location</th>
<th>date</th>
<th>gold</th>
<th>time -1</th>
<th>silver</th>
<th>time -2</th>
<th>bronze</th>
<th>time -3</th>
<th>report</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>chelyabinsk, russia</td>
<td>18 november</td>
<td>pekka koskela finland</td>
<td>35.0</td>
<td>jan smeekens netherlands</td>
<td>35.01</td>
<td>yuya oikawa japan</td>
<td>35.07</td>
<td></td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>chelyabinsk, russia</td>
<td>19 november</td>
<td>joji kato japan</td>
<td>34.92</td>
<td>mo tae-bum south korea</td>
<td>35.01</td>
<td>yuya oikawa japan</td>
<td>35.14</td>
<td></td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>astana, kazakhstan</td>
<td>25 november</td>
<td>mo tae-bum south korea</td>
<td>34.89</td>
<td>tucker fredricks united states</td>
<td>34.94</td>
<td>stefan groothuis netherlands</td>
<td>35.01</td>
<td></td>
</tr>
<tr>
<th>3</th>
<td>2</td>
<td>astana, kazakhstan</td>
<td>26 november</td>
<td>jan smeekens netherlands</td>
<td>35.05</td>
<td>mo tae-bum south korea</td>
<td>35.06</td>
<td>tucker fredricks united states</td>
<td>35.19</td>
<td></td>
</tr>
<tr>
<th>4</th>
<td>3</td>
<td>heerenveen, netherlands</td>
<td>2 december</td>
<td>tucker fredricks united states</td>
<td>34.98</td>
<td>joji kato japan</td>
<td>35.07</td>
<td>mo tae-bum south korea</td>
<td>35.08</td>
<td></td>
</tr>
<tr>
<th>5</th>
<td>3</td>
<td>heerenveen, netherlands</td>
<td>3 december</td>
<td>pekka koskela finland</td>
<td>35.01</td>
<td>joji kato japan</td>
<td>35.02</td>
<td>jesper hospes netherlands</td>
<td>35.06</td>
<td></td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>salt lake city, united states</td>
<td>21 january</td>
<td>keiichiro nagashima japan</td>
<td>34.37</td>
<td>jan smeekens netherlands</td>
<td>34.4</td>
<td>tucker fredricks united states</td>
<td>34.45</td>
<td></td>
</tr>
<tr>
<th>7</th>
<td>4</td>
<td>salt lake city, united states</td>
<td>22 january</td>
<td>dmitry lobkov russia</td>
<td>34.54</td>
<td>keiichiro nagashima japan</td>
<td>34.57</td>
<td>tucker fredricks united states</td>
<td>34.6</td>
<td></td>
</tr>
<tr>
<th>8</th>
<td>6</td>
<td>heerenveen, netherlands</td>
<td>2 march</td>
<td>dmitry lobkov russia</td>
<td>35.11</td>
<td>hein otterspeer netherlands</td>
<td>35.14</td>
<td>keiichiro nagashima japan</td>
<td>35.2</td>
<td></td>
</tr>
<tr>
<th>9</th>
<td>6</td>
<td>heerenveen, netherlands</td>
<td>3 march</td>
<td>tucker fredricks united states</td>
<td>35.05</td>
<td>michel mulder netherlands</td>
<td>35.12</td>
<td>joji kato japan</td>
<td>35.16</td>
<td></td>
</tr>
<tr>
<th>10</th>
<td>7</td>
<td>berlin, germany</td>
<td>9 march</td>
<td>jamie gregg canada</td>
<td>35.06</td>
<td>pekka koskela finland</td>
<td>35.07</td>
<td>mo tae-bum south korea</td>
<td>35.17</td>
<td></td>
</tr>
<tr>
<th>11</th>
<td>7</td>
<td>berlin, germany</td>
<td>10 march</td>
<td>michel mulder netherlands</td>
<td>35.01</td>
<td>mo tae-bum south korea</td>
<td>35.04</td>
<td>jan smeekens netherlands</td>
<td>35.08 |</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>tucker fredricks united states</td>
</tr>
</tbody>
</table> | select bronze where date = '21 january' <table_name> : table | | occasion # | location | date | gold | time -1 | silver | time -2 | bronze | time -3 | report |
|---:|-------------:|:------------------------------|:------------|:-------------------------------|----------:|:-------------------------------|----------:|:-------------------------------|:----------|:---------|
| 0 | 1 | chelyabinsk, russia | 18 november | pekka koskela finland | 35 | jan smeekens netherlands | 35.01 | yuya oikawa japan | 35.07 | |
| 1 | 1 | chelyabinsk, russia | 19 november | joji kato japan | 34.92 | mo tae-bum south korea | 35.01 | yuya oikawa japan | 35.14 | |
| 2 | 2 | astana, kazakhstan | 25 november | mo tae-bum south korea | 34.89 | tucker fredricks united states | 34.94 | stefan groothuis netherlands | 35.01 | |
| 3 | 2 | astana, kazakhstan | 26 november | jan smeekens netherlands | 35.05 | mo tae-bum south korea | 35.06 | tucker fredricks united states | 35.19 | |
| 4 | 3 | heerenveen, netherlands | 2 december | tucker fredricks united states | 34.98 | joji kato japan | 35.07 | mo tae-bum south korea | 35.08 | |
| 5 | 3 | heerenveen, netherlands | 3 december | pekka koskela finland | 35.01 | joji kato japan | 35.02 | jesper hospes netherlands | 35.06 | |
| 6 | 4 | salt lake city, united states | 21 january | keiichiro nagashima japan | 34.37 | jan smeekens netherlands | 34.4 | tucker fredricks united states | 34.45 | |
| 7 | 4 | salt lake city, united states | 22 january | dmitry lobkov russia | 34.54 | keiichiro nagashima japan | 34.57 | tucker fredricks united states | 34.6 | |
| 8 | 6 | heerenveen, netherlands | 2 march | dmitry lobkov russia | 35.11 | hein otterspeer netherlands | 35.14 | keiichiro nagashima japan | 35.2 | |
| 9 | 6 | heerenveen, netherlands | 3 march | tucker fredricks united states | 35.05 | michel mulder netherlands | 35.12 | joji kato japan | 35.16 | |
| 10 | 7 | berlin, germany | 9 march | jamie gregg canada | 35.06 | pekka koskela finland | 35.07 | mo tae-bum south korea | 35.17 | |
| 11 | 7 | berlin, germany | 10 march | michel mulder netherlands | 35.01 | mo tae-bum south korea | 35.04 | jan smeekens netherlands | 35.08 | | | | | | bronze |
|---:|:-------------------------------|
| 0 | tucker fredricks united states | | [
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select disposition (2012) where 3rd name = 'rocket 3' col : hull | type | original name | original operator | delivery | disposition (2012) | 2nd name | 2nd operator | 3rd name | 3rd operator row 1 : no 1 | 929-117 | tsubasa | sado kisen | mar 1998 | active | none | none | none | none row 2 : no 2 | 929-117 | pegasus | kyusyu shosen co. ltd | jun 1989 | active | toppy 1 | tane yaku jetfoils | none | none row 3 : no 3 | 929-117 | toppy 1 | tane yaku jetfoils | sep 1989 | active | beetle 3 | jr kyushu jet ferries | none | none row 4 : no 4 | 929-117 | princess dacil | trasmediterranea | mar 1990 | active | pegasus | kyusyu shosen co. ltd | none | none row 5 : no 5 | 929-117 | nagasaki | jr kyushu jet ferries | apr 1990 | active | beetle 1 | jr kyushu jet ferries | none | none row 6 : no 6 | 929-117 | beetle | jr kyushu jet ferries | jul 1990 | active | rocket | cosmo line | rocket 3 | tane yaku jetfoils row 7 : no 7 | 929-117 | unicorn | kyusyu shosen co. ltd | oct 1990 | active | pegasus 2 | kyusyu shosen co. ltd | none | none row 8 : no 8 | 929-117 | beetle 2 | jr kyushu jet ferries | feb 1991 | active | none | none | none | none row 9 : no 9 | 929-117 | venus | kyushu yusen | mar 1991 | active | none | none | none | none row 10 : no 10 | 929-117 | suisei | sado kisen | apr 1991 | active | none | none | none | none row 11 : no 11 | 929-117 | princess teguise | trasmediterranea | jun 1991 | active | 2007 toppy 5 | tane yaku jetfoils | none | none row 12 : no 12 | 929-117 | toppy 2 | tane yaku jetfoils | apr 1992 | active | none | none | none | none row 13 : no 13 | 929-117 | toppy 3 | tane yaku jetfoils | mar 1995 | active | none | none | none | none row 14 : no 14 | 929-117 | crystal wing | kaijo access co | jun 1994 | active | 2002 beetle 5 | jr kyushu jet ferries | none | none row 15 : no 15 | 929-117 | emerald wing | kaijo access co | jun 1994 | active | 2004 rocket 1 | cosmo line | none | tane yaku jetfoil | col : disposition (2012) row 1 : active | select disposition (2012) where 3rd name = 'rocket 3' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& hull & type & original name & original operator & delivery & disposition (2012) & 2nd name & 2nd operator & 3rd name & 3rd operator \\
\midrule
0 & no 1 & 929-117 & tsubasa & sado kisen & mar 1998 & active & none & none & none & none \\
1 & no 2 & 929-117 & pegasus & kyusyu shosen co. ltd & jun 1989 & active & toppy 1 & tane yaku jetfoils & none & none \\
2 & no 3 & 929-117 & toppy 1 & tane yaku jetfoils & sep 1989 & active & beetle 3 & jr kyushu jet ferries & none & none \\
3 & no 4 & 929-117 & princess dacil & trasmediterranea & mar 1990 & active & pegasus & kyusyu shosen co. ltd & none & none \\
4 & no 5 & 929-117 & nagasaki & jr kyushu jet ferries & apr 1990 & active & beetle 1 & jr kyushu jet ferries & none & none \\
5 & no 6 & 929-117 & beetle & jr kyushu jet ferries & jul 1990 & active & rocket & cosmo line & rocket 3 & tane yaku jetfoils \\
6 & no 7 & 929-117 & unicorn & kyusyu shosen co. ltd & oct 1990 & active & pegasus 2 & kyusyu shosen co. ltd & none & none \\
7 & no 8 & 929-117 & beetle 2 & jr kyushu jet ferries & feb 1991 & active & none & none & none & none \\
8 & no 9 & 929-117 & venus & kyushu yusen & mar 1991 & active & none & none & none & none \\
9 & no 10 & 929-117 & suisei & sado kisen & apr 1991 & active & none & none & none & none \\
10 & no 11 & 929-117 & princess teguise & trasmediterranea & jun 1991 & active & 2007 toppy 5 & tane yaku jetfoils & none & none \\
11 & no 12 & 929-117 & toppy 2 & tane yaku jetfoils & apr 1992 & active & none & none & none & none \\
12 & no 13 & 929-117 & toppy 3 & tane yaku jetfoils & mar 1995 & active & none & none & none & none \\
13 & no 14 & 929-117 & crystal wing & kaijo access co & jun 1994 & active & 2002 beetle 5 & jr kyushu jet ferries & none & none \\
14 & no 15 & 929-117 & emerald wing & kaijo access co & jun 1994 & active & 2004 rocket 1 & cosmo line & none & tane yaku jetfoil \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& disposition (2012) \\
\midrule
0 & active \\
\bottomrule
\end{tabular}
| select disposition (2012) where 3rd name = 'rocket 3' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>hull</th>
<th>type</th>
<th>original name</th>
<th>original operator</th>
<th>delivery</th>
<th>disposition (2012)</th>
<th>2nd name</th>
<th>2nd operator</th>
<th>3rd name</th>
<th>3rd operator</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>no 1</td>
<td>929-117</td>
<td>tsubasa</td>
<td>sado kisen</td>
<td>mar 1998</td>
<td>active</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>no 2</td>
<td>929-117</td>
<td>pegasus</td>
<td>kyusyu shosen co. ltd</td>
<td>jun 1989</td>
<td>active</td>
<td>toppy 1</td>
<td>tane yaku jetfoils</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>no 3</td>
<td>929-117</td>
<td>toppy 1</td>
<td>tane yaku jetfoils</td>
<td>sep 1989</td>
<td>active</td>
<td>beetle 3</td>
<td>jr kyushu jet ferries</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>no 4</td>
<td>929-117</td>
<td>princess dacil</td>
<td>trasmediterranea</td>
<td>mar 1990</td>
<td>active</td>
<td>pegasus</td>
<td>kyusyu shosen co. ltd</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>no 5</td>
<td>929-117</td>
<td>nagasaki</td>
<td>jr kyushu jet ferries</td>
<td>apr 1990</td>
<td>active</td>
<td>beetle 1</td>
<td>jr kyushu jet ferries</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>no 6</td>
<td>929-117</td>
<td>beetle</td>
<td>jr kyushu jet ferries</td>
<td>jul 1990</td>
<td>active</td>
<td>rocket</td>
<td>cosmo line</td>
<td>rocket 3</td>
<td>tane yaku jetfoils</td>
</tr>
<tr>
<th>6</th>
<td>no 7</td>
<td>929-117</td>
<td>unicorn</td>
<td>kyusyu shosen co. ltd</td>
<td>oct 1990</td>
<td>active</td>
<td>pegasus 2</td>
<td>kyusyu shosen co. ltd</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>no 8</td>
<td>929-117</td>
<td>beetle 2</td>
<td>jr kyushu jet ferries</td>
<td>feb 1991</td>
<td>active</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>no 9</td>
<td>929-117</td>
<td>venus</td>
<td>kyushu yusen</td>
<td>mar 1991</td>
<td>active</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>no 10</td>
<td>929-117</td>
<td>suisei</td>
<td>sado kisen</td>
<td>apr 1991</td>
<td>active</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>no 11</td>
<td>929-117</td>
<td>princess teguise</td>
<td>trasmediterranea</td>
<td>jun 1991</td>
<td>active</td>
<td>2007 toppy 5</td>
<td>tane yaku jetfoils</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>no 12</td>
<td>929-117</td>
<td>toppy 2</td>
<td>tane yaku jetfoils</td>
<td>apr 1992</td>
<td>active</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>no 13</td>
<td>929-117</td>
<td>toppy 3</td>
<td>tane yaku jetfoils</td>
<td>mar 1995</td>
<td>active</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>no 14</td>
<td>929-117</td>
<td>crystal wing</td>
<td>kaijo access co</td>
<td>jun 1994</td>
<td>active</td>
<td>2002 beetle 5</td>
<td>jr kyushu jet ferries</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>no 15</td>
<td>929-117</td>
<td>emerald wing</td>
<td>kaijo access co</td>
<td>jun 1994</td>
<td>active</td>
<td>2004 rocket 1</td>
<td>cosmo line</td>
<td>none</td>
<td>tane yaku jetfoil</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>disposition (2012)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>active</td>
</tr>
</tbody>
</table> | select disposition (2012) where 3rd name = 'rocket 3' <table_name> : table | | hull | type | original name | original operator | delivery | disposition (2012) | 2nd name | 2nd operator | 3rd name | 3rd operator |
|---:|:-------|:--------|:-----------------|:----------------------|:-----------|:---------------------|:--------------|:----------------------|:-----------|:-------------------|
| 0 | no 1 | 929-117 | tsubasa | sado kisen | mar 1998 | active | none | none | none | none |
| 1 | no 2 | 929-117 | pegasus | kyusyu shosen co. ltd | jun 1989 | active | toppy 1 | tane yaku jetfoils | none | none |
| 2 | no 3 | 929-117 | toppy 1 | tane yaku jetfoils | sep 1989 | active | beetle 3 | jr kyushu jet ferries | none | none |
| 3 | no 4 | 929-117 | princess dacil | trasmediterranea | mar 1990 | active | pegasus | kyusyu shosen co. ltd | none | none |
| 4 | no 5 | 929-117 | nagasaki | jr kyushu jet ferries | apr 1990 | active | beetle 1 | jr kyushu jet ferries | none | none |
| 5 | no 6 | 929-117 | beetle | jr kyushu jet ferries | jul 1990 | active | rocket | cosmo line | rocket 3 | tane yaku jetfoils |
| 6 | no 7 | 929-117 | unicorn | kyusyu shosen co. ltd | oct 1990 | active | pegasus 2 | kyusyu shosen co. ltd | none | none |
| 7 | no 8 | 929-117 | beetle 2 | jr kyushu jet ferries | feb 1991 | active | none | none | none | none |
| 8 | no 9 | 929-117 | venus | kyushu yusen | mar 1991 | active | none | none | none | none |
| 9 | no 10 | 929-117 | suisei | sado kisen | apr 1991 | active | none | none | none | none |
| 10 | no 11 | 929-117 | princess teguise | trasmediterranea | jun 1991 | active | 2007 toppy 5 | tane yaku jetfoils | none | none |
| 11 | no 12 | 929-117 | toppy 2 | tane yaku jetfoils | apr 1992 | active | none | none | none | none |
| 12 | no 13 | 929-117 | toppy 3 | tane yaku jetfoils | mar 1995 | active | none | none | none | none |
| 13 | no 14 | 929-117 | crystal wing | kaijo access co | jun 1994 | active | 2002 beetle 5 | jr kyushu jet ferries | none | none |
| 14 | no 15 | 929-117 | emerald wing | kaijo access co | jun 1994 | active | 2004 rocket 1 | cosmo line | none | tane yaku jetfoil | | | | disposition (2012) |
|---:|:---------------------|
| 0 | active | | [
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select draw - draw where artist = 'liam reilly' col : draw | artist | song | points | place row 1 : 1 | the memories | "if it means losing you" | 57 | 8th row 2 : 2 | ann breen | "oh, darling" | 80 | 4th row 3 : 3 | fran meen | "say that you love me" | 66 | 6th row 4 : 4 | dreams | "sin sin ("that's that")" | 73 | 5th row 5 : 5 | connor stevens | "count on me" | 88 | 3rd row 6 : 6 | linda martin and friends | "all the people in the world" | 105 | 2nd row 7 : 7 | maggie toal | "feed him with love" | 61 | 7th row 8 : 8 | liam reilly | "somewhere in europe" | 130 | 1st | col : "draw - draw" row 1 : draw - draw | select draw - draw where artist = 'liam reilly' <table_name> : table \begin{tabular}{llllll}
\toprule
& draw & artist & song & points & place \\
\midrule
0 & 1 & the memories & "if it means losing you" & 57 & 8th \\
1 & 2 & ann breen & "oh, darling" & 80 & 4th \\
2 & 3 & fran meen & "say that you love me" & 66 & 6th \\
3 & 4 & dreams & "sin sin ("that's that")" & 73 & 5th \\
4 & 5 & connor stevens & "count on me" & 88 & 3rd \\
5 & 6 & linda martin and friends & "all the people in the world" & 105 & 2nd \\
6 & 7 & maggie toal & "feed him with love" & 61 & 7th \\
7 & 8 & liam reilly & "somewhere in europe" & 130 & 1st \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "draw - draw" \\
\midrule
0 & draw - draw \\
\bottomrule
\end{tabular}
| select draw - draw where artist = 'liam reilly' <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>the memories</td>
<td>"if it means losing you"</td>
<td>57</td>
<td>8th</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>ann breen</td>
<td>"oh, darling"</td>
<td>80</td>
<td>4th</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>fran meen</td>
<td>"say that you love me"</td>
<td>66</td>
<td>6th</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>dreams</td>
<td>"sin sin ("that's that")"</td>
<td>73</td>
<td>5th</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>connor stevens</td>
<td>"count on me"</td>
<td>88</td>
<td>3rd</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>linda martin and friends</td>
<td>"all the people in the world"</td>
<td>105</td>
<td>2nd</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>maggie toal</td>
<td>"feed him with love"</td>
<td>61</td>
<td>7th</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>liam reilly</td>
<td>"somewhere in europe"</td>
<td>130</td>
<td>1st</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"draw - draw"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>draw - draw</td>
</tr>
</tbody>
</table> | select draw - draw where artist = 'liam reilly' <table_name> : table | | draw | artist | song | points | place |
|---:|-------:|:-------------------------|:------------------------------|---------:|:--------|
| 0 | 1 | the memories | "if it means losing you" | 57 | 8th |
| 1 | 2 | ann breen | "oh, darling" | 80 | 4th |
| 2 | 3 | fran meen | "say that you love me" | 66 | 6th |
| 3 | 4 | dreams | "sin sin ("that's that")" | 73 | 5th |
| 4 | 5 | connor stevens | "count on me" | 88 | 3rd |
| 5 | 6 | linda martin and friends | "all the people in the world" | 105 | 2nd |
| 6 | 7 | maggie toal | "feed him with love" | 61 | 7th |
| 7 | 8 | liam reilly | "somewhere in europe" | 130 | 1st | | | | "draw - draw" |
|---:|:----------------|
| 0 | draw - draw | | [
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] |
select count ( nation ) where nation = 11 col : rank | nation | gold | silver | bronze | total row 1 : 1 | canada | 9 | 6 | 5 | 20 row 2 : 2 | united states | 8 | 7 | 8 | 23 row 3 : 3 | austria | 7 | 9 | 8 | 24 row 4 : 4 | japan | 4 | 2 | 1 | 7 row 5 : 5 | italy | 3 | 7 | 4 | 14 row 6 : 6 | france | 3 | 4 | 4 | 11 row 7 : 7 | australia | 3 | 4 | 0 | 7 row 8 : 8 | norway | 2 | 2 | 2 | 6 row 9 : 9 | slovenia | 2 | 1 | 2 | 5 row 10 : 10 | finland | 2 | 1 | 1 | 4 row 11 : 10 | germany | 2 | 1 | 1 | 4 row 12 : 12 | russia | 2 | 0 | 3 | 5 row 13 : 13 | switzerland | 1 | 5 | 5 | 11 row 14 : 14 | china | 1 | 1 | 1 | 3 row 15 : 15 | poland | 1 | 1 | 0 | 2 row 16 : 16 | czech republic | 1 | 0 | 1 | 2 row 17 : 17 | belgium | 1 | 0 | 0 | 1 row 18 : 18 | netherlands | 0 | 1 | 0 | 1 row 19 : 19 | spain | 0 | 0 | 3 | 3 row 20 : 20 | bulgaria | 0 | 0 | 1 | 1 row 21 : 20 | great britain | 0 | 0 | 1 | 1 row 22 : 20 | sweden | 0 | 0 | 1 | 1 row 23 : total | total | 52 | 52 | 52 | 156 | col : count ( "nation" ) row 1 : 0 | select count ( nation ) where nation = 11 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & canada & 9 & 6 & 5 & 20 \\
1 & 2 & united states & 8 & 7 & 8 & 23 \\
2 & 3 & austria & 7 & 9 & 8 & 24 \\
3 & 4 & japan & 4 & 2 & 1 & 7 \\
4 & 5 & italy & 3 & 7 & 4 & 14 \\
5 & 6 & france & 3 & 4 & 4 & 11 \\
6 & 7 & australia & 3 & 4 & 0 & 7 \\
7 & 8 & norway & 2 & 2 & 2 & 6 \\
8 & 9 & slovenia & 2 & 1 & 2 & 5 \\
9 & 10 & finland & 2 & 1 & 1 & 4 \\
10 & 10 & germany & 2 & 1 & 1 & 4 \\
11 & 12 & russia & 2 & 0 & 3 & 5 \\
12 & 13 & switzerland & 1 & 5 & 5 & 11 \\
13 & 14 & china & 1 & 1 & 1 & 3 \\
14 & 15 & poland & 1 & 1 & 0 & 2 \\
15 & 16 & czech republic & 1 & 0 & 1 & 2 \\
16 & 17 & belgium & 1 & 0 & 0 & 1 \\
17 & 18 & netherlands & 0 & 1 & 0 & 1 \\
18 & 19 & spain & 0 & 0 & 3 & 3 \\
19 & 20 & bulgaria & 0 & 0 & 1 & 1 \\
20 & 20 & great britain & 0 & 0 & 1 & 1 \\
21 & 20 & sweden & 0 & 0 & 1 & 1 \\
22 & total & total & 52 & 52 & 52 & 156 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "nation" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( nation ) where nation = 11 <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>canada</td>
<td>9</td>
<td>6</td>
<td>5</td>
<td>20</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>united states</td>
<td>8</td>
<td>7</td>
<td>8</td>
<td>23</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>austria</td>
<td>7</td>
<td>9</td>
<td>8</td>
<td>24</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>japan</td>
<td>4</td>
<td>2</td>
<td>1</td>
<td>7</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>italy</td>
<td>3</td>
<td>7</td>
<td>4</td>
<td>14</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>france</td>
<td>3</td>
<td>4</td>
<td>4</td>
<td>11</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>australia</td>
<td>3</td>
<td>4</td>
<td>0</td>
<td>7</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>norway</td>
<td>2</td>
<td>2</td>
<td>2</td>
<td>6</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>slovenia</td>
<td>2</td>
<td>1</td>
<td>2</td>
<td>5</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>finland</td>
<td>2</td>
<td>1</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>10</th>
<td>10</td>
<td>germany</td>
<td>2</td>
<td>1</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>russia</td>
<td>2</td>
<td>0</td>
<td>3</td>
<td>5</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>switzerland</td>
<td>1</td>
<td>5</td>
<td>5</td>
<td>11</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>china</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>poland</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>czech republic</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>belgium</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>netherlands</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>spain</td>
<td>0</td>
<td>0</td>
<td>3</td>
<td>3</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>bulgaria</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>20</td>
<td>great britain</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>21</th>
<td>20</td>
<td>sweden</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>22</th>
<td>total</td>
<td>total</td>
<td>52</td>
<td>52</td>
<td>52</td>
<td>156</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 = 11 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:---------------|-------:|---------:|---------:|--------:|
| 0 | 1 | canada | 9 | 6 | 5 | 20 |
| 1 | 2 | united states | 8 | 7 | 8 | 23 |
| 2 | 3 | austria | 7 | 9 | 8 | 24 |
| 3 | 4 | japan | 4 | 2 | 1 | 7 |
| 4 | 5 | italy | 3 | 7 | 4 | 14 |
| 5 | 6 | france | 3 | 4 | 4 | 11 |
| 6 | 7 | australia | 3 | 4 | 0 | 7 |
| 7 | 8 | norway | 2 | 2 | 2 | 6 |
| 8 | 9 | slovenia | 2 | 1 | 2 | 5 |
| 9 | 10 | finland | 2 | 1 | 1 | 4 |
| 10 | 10 | germany | 2 | 1 | 1 | 4 |
| 11 | 12 | russia | 2 | 0 | 3 | 5 |
| 12 | 13 | switzerland | 1 | 5 | 5 | 11 |
| 13 | 14 | china | 1 | 1 | 1 | 3 |
| 14 | 15 | poland | 1 | 1 | 0 | 2 |
| 15 | 16 | czech republic | 1 | 0 | 1 | 2 |
| 16 | 17 | belgium | 1 | 0 | 0 | 1 |
| 17 | 18 | netherlands | 0 | 1 | 0 | 1 |
| 18 | 19 | spain | 0 | 0 | 3 | 3 |
| 19 | 20 | bulgaria | 0 | 0 | 1 | 1 |
| 20 | 20 | great britain | 0 | 0 | 1 | 1 |
| 21 | 20 | sweden | 0 | 0 | 1 | 1 |
| 22 | total | total | 52 | 52 | 52 | 156 | | | | count ( "nation" ) |
|---:|---------------------:|
| 0 | 0 | | [
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select time where athlete = 'wang zhen' col : rank | athlete | nationality | time | notes row 1 : none | valeriy borchin | russia | 1:19:56 | none row 2 : none | vladimir kanaykin | russia | 1:20:27 | none row 3 : none | luis fernando lopez | colombia | 1:20:38 | sb row 4 : 4 | wang zhen | china | 1:20:54 | none row 5 : 5 | stanislav emelyanov | russia | 1:21:11 | none row 6 : 6 | kim hyun-sub | south korea | 1:21:17 | none row 7 : 7 | ruslan dmytrenko | ukraine | 1:21:31 | sb row 8 : 8 | yusuke suzuki | japan | 1:21:39 | none row 9 : 9 | alex schwazer | italy | 1:21:50 | sb row 10 : 10 | erick barrondo | guatemala | 1:22:08 | none row 11 : 11 | chu yafei | china | 1:22:10 | none row 12 : 12 | sergey morozov | russia | 1:22:37 | none row 13 : 13 | wang hao | china | 1:22:49 | none row 14 : 14 | matej toth | slovakia | 1:22:55 | none row 15 : 15 | eder sanchez | mexico | 1:23:05 | none row 16 : 16 | joao vieira | portugal | 1:23:26 | none row 17 : 17 | miguel angel lopez | spain | 1:23:41 | none row 18 : 18 | anton kucmin | slovakia | 1:23:57 | none row 19 : 19 | james rendon | colombia | 1:24:08 | sb row 20 : 20 | horacio nava | mexico | 1:24:15 | none row 21 : 21 | christopher linke | germany | 1:24:17 | none row 22 : 22 | caio bonfim | brazil | 1:24:29 | none row 23 : 23 | trevor barron | united states | 1:24:33 | none row 24 : 24 | rafał augustyn | poland | 1:24:47 | none row 25 : 25 | byun youngjun | south korea | 1:24:48 | none row 26 : 26 | hassanine sebei | tunisia | 1:25:17 | none row 27 : 27 | jared tallent | australia | 1:25:25 | none row 28 : 28 | recep celik | turkey | 1:25:39 | none row 29 : 29 | nazar kovalenko | ukraine | 1:25:50 | none row 30 : 30 | gurmeet singh | india | 1:26:34 | none row 31 : 31 | babubhai panucha | india | 1:26:53 | none row 32 : 32 | david kimutai | kenya | 1:27:20 | sb row 33 : 33 | yerko araya | chile | 1:27:47 | none row 34 : 34 | hedi teraoui | tunisia | 1:29:48 | none row 35 : 35 | diego flores | mexico | 1:30:00 | none row 36 : 36 | juan manuel cano | argentina | 1:30:00 | none row 37 : 37 | emerson hernandez | el salvador | 1:30:48 | sb row 38 : 38 | ronald quispe | bolivia | 1:32:09 | pb row 39 : none | moacir zimmermann | brazil | dsq | none row 40 : none | gustavo restrepo | colombia | dsq | none row 41 : none | giorgio rubino | italy | dsq | none row 42 : none | anatole ibanez | sweden | dsq | none row 43 : none | adam rutter | australia | dnf | none row 44 : none | mauricio arteaga | ecuador | dnf | none row 45 : none | paquillo fernandez | spain | dnf | none row 46 : none | park chil-sung | south korea | dnf | none | col : time row 1 : 1:20:54 | select time where athlete = 'wang zhen' <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & athlete & nationality & time & notes \\
\midrule
0 & none & valeriy borchin & russia & 1:19:56 & none \\
1 & none & vladimir kanaykin & russia & 1:20:27 & none \\
2 & none & luis fernando lopez & colombia & 1:20:38 & sb \\
3 & 4 & wang zhen & china & 1:20:54 & none \\
4 & 5 & stanislav emelyanov & russia & 1:21:11 & none \\
5 & 6 & kim hyun-sub & south korea & 1:21:17 & none \\
6 & 7 & ruslan dmytrenko & ukraine & 1:21:31 & sb \\
7 & 8 & yusuke suzuki & japan & 1:21:39 & none \\
8 & 9 & alex schwazer & italy & 1:21:50 & sb \\
9 & 10 & erick barrondo & guatemala & 1:22:08 & none \\
10 & 11 & chu yafei & china & 1:22:10 & none \\
11 & 12 & sergey morozov & russia & 1:22:37 & none \\
12 & 13 & wang hao & china & 1:22:49 & none \\
13 & 14 & matej toth & slovakia & 1:22:55 & none \\
14 & 15 & eder sanchez & mexico & 1:23:05 & none \\
15 & 16 & joao vieira & portugal & 1:23:26 & none \\
16 & 17 & miguel angel lopez & spain & 1:23:41 & none \\
17 & 18 & anton kucmin & slovakia & 1:23:57 & none \\
18 & 19 & james rendon & colombia & 1:24:08 & sb \\
19 & 20 & horacio nava & mexico & 1:24:15 & none \\
20 & 21 & christopher linke & germany & 1:24:17 & none \\
21 & 22 & caio bonfim & brazil & 1:24:29 & none \\
22 & 23 & trevor barron & united states & 1:24:33 & none \\
23 & 24 & rafał augustyn & poland & 1:24:47 & none \\
24 & 25 & byun youngjun & south korea & 1:24:48 & none \\
25 & 26 & hassanine sebei & tunisia & 1:25:17 & none \\
26 & 27 & jared tallent & australia & 1:25:25 & none \\
27 & 28 & recep celik & turkey & 1:25:39 & none \\
28 & 29 & nazar kovalenko & ukraine & 1:25:50 & none \\
29 & 30 & gurmeet singh & india & 1:26:34 & none \\
30 & 31 & babubhai panucha & india & 1:26:53 & none \\
31 & 32 & david kimutai & kenya & 1:27:20 & sb \\
32 & 33 & yerko araya & chile & 1:27:47 & none \\
33 & 34 & hedi teraoui & tunisia & 1:29:48 & none \\
34 & 35 & diego flores & mexico & 1:30:00 & none \\
35 & 36 & juan manuel cano & argentina & 1:30:00 & none \\
36 & 37 & emerson hernandez & el salvador & 1:30:48 & sb \\
37 & 38 & ronald quispe & bolivia & 1:32:09 & pb \\
38 & none & moacir zimmermann & brazil & dsq & none \\
39 & none & gustavo restrepo & colombia & dsq & none \\
40 & none & giorgio rubino & italy & dsq & none \\
41 & none & anatole ibanez & sweden & dsq & none \\
42 & none & adam rutter & australia & dnf & none \\
43 & none & mauricio arteaga & ecuador & dnf & none \\
44 & none & paquillo fernandez & spain & dnf & none \\
45 & none & park chil-sung & south korea & dnf & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& time \\
\midrule
0 & 1:20:54 \\
\bottomrule
\end{tabular}
| select time where athlete = 'wang zhen' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>athlete</th>
<th>nationality</th>
<th>time</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
<td>valeriy borchin</td>
<td>russia</td>
<td>1:19:56</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>vladimir kanaykin</td>
<td>russia</td>
<td>1:20:27</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>none</td>
<td>luis fernando lopez</td>
<td>colombia</td>
<td>1:20:38</td>
<td>sb</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>wang zhen</td>
<td>china</td>
<td>1:20:54</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>stanislav emelyanov</td>
<td>russia</td>
<td>1:21:11</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>kim hyun-sub</td>
<td>south korea</td>
<td>1:21:17</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>ruslan dmytrenko</td>
<td>ukraine</td>
<td>1:21:31</td>
<td>sb</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>yusuke suzuki</td>
<td>japan</td>
<td>1:21:39</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>alex schwazer</td>
<td>italy</td>
<td>1:21:50</td>
<td>sb</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>erick barrondo</td>
<td>guatemala</td>
<td>1:22:08</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>chu yafei</td>
<td>china</td>
<td>1:22:10</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>sergey morozov</td>
<td>russia</td>
<td>1:22:37</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>wang hao</td>
<td>china</td>
<td>1:22:49</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>matej toth</td>
<td>slovakia</td>
<td>1:22:55</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>eder sanchez</td>
<td>mexico</td>
<td>1:23:05</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>joao vieira</td>
<td>portugal</td>
<td>1:23:26</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>miguel angel lopez</td>
<td>spain</td>
<td>1:23:41</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>anton kucmin</td>
<td>slovakia</td>
<td>1:23:57</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>james rendon</td>
<td>colombia</td>
<td>1:24:08</td>
<td>sb</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>horacio nava</td>
<td>mexico</td>
<td>1:24:15</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>christopher linke</td>
<td>germany</td>
<td>1:24:17</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>caio bonfim</td>
<td>brazil</td>
<td>1:24:29</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>trevor barron</td>
<td>united states</td>
<td>1:24:33</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>rafał augustyn</td>
<td>poland</td>
<td>1:24:47</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>byun youngjun</td>
<td>south korea</td>
<td>1:24:48</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>hassanine sebei</td>
<td>tunisia</td>
<td>1:25:17</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>27</td>
<td>jared tallent</td>
<td>australia</td>
<td>1:25:25</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>recep celik</td>
<td>turkey</td>
<td>1:25:39</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>29</td>
<td>nazar kovalenko</td>
<td>ukraine</td>
<td>1:25:50</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>30</td>
<td>gurmeet singh</td>
<td>india</td>
<td>1:26:34</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>31</td>
<td>babubhai panucha</td>
<td>india</td>
<td>1:26:53</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>32</td>
<td>david kimutai</td>
<td>kenya</td>
<td>1:27:20</td>
<td>sb</td>
</tr>
<tr>
<th>32</th>
<td>33</td>
<td>yerko araya</td>
<td>chile</td>
<td>1:27:47</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>34</td>
<td>hedi teraoui</td>
<td>tunisia</td>
<td>1:29:48</td>
<td>none</td>
</tr>
<tr>
<th>34</th>
<td>35</td>
<td>diego flores</td>
<td>mexico</td>
<td>1:30:00</td>
<td>none</td>
</tr>
<tr>
<th>35</th>
<td>36</td>
<td>juan manuel cano</td>
<td>argentina</td>
<td>1:30:00</td>
<td>none</td>
</tr>
<tr>
<th>36</th>
<td>37</td>
<td>emerson hernandez</td>
<td>el salvador</td>
<td>1:30:48</td>
<td>sb</td>
</tr>
<tr>
<th>37</th>
<td>38</td>
<td>ronald quispe</td>
<td>bolivia</td>
<td>1:32:09</td>
<td>pb</td>
</tr>
<tr>
<th>38</th>
<td>none</td>
<td>moacir zimmermann</td>
<td>brazil</td>
<td>dsq</td>
<td>none</td>
</tr>
<tr>
<th>39</th>
<td>none</td>
<td>gustavo restrepo</td>
<td>colombia</td>
<td>dsq</td>
<td>none</td>
</tr>
<tr>
<th>40</th>
<td>none</td>
<td>giorgio rubino</td>
<td>italy</td>
<td>dsq</td>
<td>none</td>
</tr>
<tr>
<th>41</th>
<td>none</td>
<td>anatole ibanez</td>
<td>sweden</td>
<td>dsq</td>
<td>none</td>
</tr>
<tr>
<th>42</th>
<td>none</td>
<td>adam rutter</td>
<td>australia</td>
<td>dnf</td>
<td>none</td>
</tr>
<tr>
<th>43</th>
<td>none</td>
<td>mauricio arteaga</td>
<td>ecuador</td>
<td>dnf</td>
<td>none</td>
</tr>
<tr>
<th>44</th>
<td>none</td>
<td>paquillo fernandez</td>
<td>spain</td>
<td>dnf</td>
<td>none</td>
</tr>
<tr>
<th>45</th>
<td>none</td>
<td>park chil-sung</td>
<td>south korea</td>
<td>dnf</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>time</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1:20:54</td>
</tr>
</tbody>
</table> | select time where athlete = 'wang zhen' <table_name> : table | | rank | athlete | nationality | time | notes |
|---:|:-------|:--------------------|:--------------|:--------|:--------|
| 0 | none | valeriy borchin | russia | 1:19:56 | none |
| 1 | none | vladimir kanaykin | russia | 1:20:27 | none |
| 2 | none | luis fernando lopez | colombia | 1:20:38 | sb |
| 3 | 4 | wang zhen | china | 1:20:54 | none |
| 4 | 5 | stanislav emelyanov | russia | 1:21:11 | none |
| 5 | 6 | kim hyun-sub | south korea | 1:21:17 | none |
| 6 | 7 | ruslan dmytrenko | ukraine | 1:21:31 | sb |
| 7 | 8 | yusuke suzuki | japan | 1:21:39 | none |
| 8 | 9 | alex schwazer | italy | 1:21:50 | sb |
| 9 | 10 | erick barrondo | guatemala | 1:22:08 | none |
| 10 | 11 | chu yafei | china | 1:22:10 | none |
| 11 | 12 | sergey morozov | russia | 1:22:37 | none |
| 12 | 13 | wang hao | china | 1:22:49 | none |
| 13 | 14 | matej toth | slovakia | 1:22:55 | none |
| 14 | 15 | eder sanchez | mexico | 1:23:05 | none |
| 15 | 16 | joao vieira | portugal | 1:23:26 | none |
| 16 | 17 | miguel angel lopez | spain | 1:23:41 | none |
| 17 | 18 | anton kucmin | slovakia | 1:23:57 | none |
| 18 | 19 | james rendon | colombia | 1:24:08 | sb |
| 19 | 20 | horacio nava | mexico | 1:24:15 | none |
| 20 | 21 | christopher linke | germany | 1:24:17 | none |
| 21 | 22 | caio bonfim | brazil | 1:24:29 | none |
| 22 | 23 | trevor barron | united states | 1:24:33 | none |
| 23 | 24 | rafał augustyn | poland | 1:24:47 | none |
| 24 | 25 | byun youngjun | south korea | 1:24:48 | none |
| 25 | 26 | hassanine sebei | tunisia | 1:25:17 | none |
| 26 | 27 | jared tallent | australia | 1:25:25 | none |
| 27 | 28 | recep celik | turkey | 1:25:39 | none |
| 28 | 29 | nazar kovalenko | ukraine | 1:25:50 | none |
| 29 | 30 | gurmeet singh | india | 1:26:34 | none |
| 30 | 31 | babubhai panucha | india | 1:26:53 | none |
| 31 | 32 | david kimutai | kenya | 1:27:20 | sb |
| 32 | 33 | yerko araya | chile | 1:27:47 | none |
| 33 | 34 | hedi teraoui | tunisia | 1:29:48 | none |
| 34 | 35 | diego flores | mexico | 1:30:00 | none |
| 35 | 36 | juan manuel cano | argentina | 1:30:00 | none |
| 36 | 37 | emerson hernandez | el salvador | 1:30:48 | sb |
| 37 | 38 | ronald quispe | bolivia | 1:32:09 | pb |
| 38 | none | moacir zimmermann | brazil | dsq | none |
| 39 | none | gustavo restrepo | colombia | dsq | none |
| 40 | none | giorgio rubino | italy | dsq | none |
| 41 | none | anatole ibanez | sweden | dsq | none |
| 42 | none | adam rutter | australia | dnf | none |
| 43 | none | mauricio arteaga | ecuador | dnf | none |
| 44 | none | paquillo fernandez | spain | dnf | none |
| 45 | none | park chil-sung | south korea | dnf | none | | | | time |
|---:|:--------|
| 0 | 1:20:54 | | [
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select inns. where player = 'graeme smith' col : no. | score | player | team | balls | inns. | opposing team | date | result row 1 : 1 | 123 | kris srikkanth | india | 103 | 1 | pakistan | 1987-02-18 00:00:00 | lost row 2 : 2 | 107 | desmond haynes | west indies | 137 | 1 | pakistan | 1989-11-01 00:00:00 | lost row 3 : 3 | 100 | sachin tendulkar | india | 103 | 2 | kenya | 1998-05-31 00:00:00 | won row 4 : 4 | 121 | marcus trescothick | england | 109 | 2 | india | 2002-01-19 00:00:00 | lost row 5 : 5 | 108 | salman butt | pakistan | 130 | 2 | india | 2004-11-13 00:00:00 | won row 6 : 6 | 134 | graeme smith | south africa | 124 | 2 | india | 2005-11-25 00:00:00 | won row 7 : 7 | 118 | upul tharanga | sri lanka | 128 | 1 | india | 2009-12-24 00:00:00 | lost row 8 : 8 | 150 | gautam gambhir | india | 137 | 2 | sri lanka | 2009-12-24 00:00:00 | won row 9 : 9 | 107 | virat kohli | india | 114 | 2 | sri lanka | 2009-12-24 00:00:00 | won row 10 : 10 | 106 | ryan ten doeschate | netherlands | 108 | 1 | ireland | 2011-03-18 00:00:00 | lost row 11 : 11 | 101 | paul stirling | ireland | 72 | 2 | netherlands | 2011-03-18 00:00:00 | won row 12 : 12 | 106 | nasir jamshed | pakistan | 124 | 1 | india | 2013-01-03 00:00:00 | won | col : inns. row 1 : 2 | select inns. where player = 'graeme smith' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& no. & score & player & team & balls & inns. & opposing team & date & result \\
\midrule
0 & 1 & 123 & kris srikkanth & india & 103 & 1 & pakistan & 1987-02-18 00:00:00 & lost \\
1 & 2 & 107 & desmond haynes & west indies & 137 & 1 & pakistan & 1989-11-01 00:00:00 & lost \\
2 & 3 & 100 & sachin tendulkar & india & 103 & 2 & kenya & 1998-05-31 00:00:00 & won \\
3 & 4 & 121 & marcus trescothick & england & 109 & 2 & india & 2002-01-19 00:00:00 & lost \\
4 & 5 & 108 & salman butt & pakistan & 130 & 2 & india & 2004-11-13 00:00:00 & won \\
5 & 6 & 134 & graeme smith & south africa & 124 & 2 & india & 2005-11-25 00:00:00 & won \\
6 & 7 & 118 & upul tharanga & sri lanka & 128 & 1 & india & 2009-12-24 00:00:00 & lost \\
7 & 8 & 150 & gautam gambhir & india & 137 & 2 & sri lanka & 2009-12-24 00:00:00 & won \\
8 & 9 & 107 & virat kohli & india & 114 & 2 & sri lanka & 2009-12-24 00:00:00 & won \\
9 & 10 & 106 & ryan ten doeschate & netherlands & 108 & 1 & ireland & 2011-03-18 00:00:00 & lost \\
10 & 11 & 101 & paul stirling & ireland & 72 & 2 & netherlands & 2011-03-18 00:00:00 & won \\
11 & 12 & 106 & nasir jamshed & pakistan & 124 & 1 & india & 2013-01-03 00:00:00 & won \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& inns. \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select inns. where player = 'graeme smith' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
<th>score</th>
<th>player</th>
<th>team</th>
<th>balls</th>
<th>inns.</th>
<th>opposing team</th>
<th>date</th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>123</td>
<td>kris srikkanth</td>
<td>india</td>
<td>103</td>
<td>1</td>
<td>pakistan</td>
<td>1987-02-18 00:00:00</td>
<td>lost</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>107</td>
<td>desmond haynes</td>
<td>west indies</td>
<td>137</td>
<td>1</td>
<td>pakistan</td>
<td>1989-11-01 00:00:00</td>
<td>lost</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>100</td>
<td>sachin tendulkar</td>
<td>india</td>
<td>103</td>
<td>2</td>
<td>kenya</td>
<td>1998-05-31 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>121</td>
<td>marcus trescothick</td>
<td>england</td>
<td>109</td>
<td>2</td>
<td>india</td>
<td>2002-01-19 00:00:00</td>
<td>lost</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>108</td>
<td>salman butt</td>
<td>pakistan</td>
<td>130</td>
<td>2</td>
<td>india</td>
<td>2004-11-13 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>134</td>
<td>graeme smith</td>
<td>south africa</td>
<td>124</td>
<td>2</td>
<td>india</td>
<td>2005-11-25 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>118</td>
<td>upul tharanga</td>
<td>sri lanka</td>
<td>128</td>
<td>1</td>
<td>india</td>
<td>2009-12-24 00:00:00</td>
<td>lost</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>150</td>
<td>gautam gambhir</td>
<td>india</td>
<td>137</td>
<td>2</td>
<td>sri lanka</td>
<td>2009-12-24 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>107</td>
<td>virat kohli</td>
<td>india</td>
<td>114</td>
<td>2</td>
<td>sri lanka</td>
<td>2009-12-24 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>106</td>
<td>ryan ten doeschate</td>
<td>netherlands</td>
<td>108</td>
<td>1</td>
<td>ireland</td>
<td>2011-03-18 00:00:00</td>
<td>lost</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>101</td>
<td>paul stirling</td>
<td>ireland</td>
<td>72</td>
<td>2</td>
<td>netherlands</td>
<td>2011-03-18 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>106</td>
<td>nasir jamshed</td>
<td>pakistan</td>
<td>124</td>
<td>1</td>
<td>india</td>
<td>2013-01-03 00:00:00</td>
<td>won</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>inns.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select inns. where player = 'graeme smith' <table_name> : table | | no. | score | player | team | balls | inns. | opposing team | date | result |
|---:|------:|--------:|:-------------------|:-------------|--------:|--------:|:----------------|:--------------------|:---------|
| 0 | 1 | 123 | kris srikkanth | india | 103 | 1 | pakistan | 1987-02-18 00:00:00 | lost |
| 1 | 2 | 107 | desmond haynes | west indies | 137 | 1 | pakistan | 1989-11-01 00:00:00 | lost |
| 2 | 3 | 100 | sachin tendulkar | india | 103 | 2 | kenya | 1998-05-31 00:00:00 | won |
| 3 | 4 | 121 | marcus trescothick | england | 109 | 2 | india | 2002-01-19 00:00:00 | lost |
| 4 | 5 | 108 | salman butt | pakistan | 130 | 2 | india | 2004-11-13 00:00:00 | won |
| 5 | 6 | 134 | graeme smith | south africa | 124 | 2 | india | 2005-11-25 00:00:00 | won |
| 6 | 7 | 118 | upul tharanga | sri lanka | 128 | 1 | india | 2009-12-24 00:00:00 | lost |
| 7 | 8 | 150 | gautam gambhir | india | 137 | 2 | sri lanka | 2009-12-24 00:00:00 | won |
| 8 | 9 | 107 | virat kohli | india | 114 | 2 | sri lanka | 2009-12-24 00:00:00 | won |
| 9 | 10 | 106 | ryan ten doeschate | netherlands | 108 | 1 | ireland | 2011-03-18 00:00:00 | lost |
| 10 | 11 | 101 | paul stirling | ireland | 72 | 2 | netherlands | 2011-03-18 00:00:00 | won |
| 11 | 12 | 106 | nasir jamshed | pakistan | 124 | 1 | india | 2013-01-03 00:00:00 | won | | | | inns. |
|---:|--------:|
| 0 | 2 | | [
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select # - # where date = '19 november 2013' col : # | date | venue | opponent | score | result | competition row 1 : 1 | 2012-08-15 00:00:00 | ullevaal stadion, oslo, norway | norway | 1-3 | 2-3 | friendly row 2 : 2 | 2012-09-11 00:00:00 | karaiskakis stadium, pireaus, greece | lithuania | 2-0 | 2-0 | 2014 fifa world cup qualifier row 3 : 3 | 2013-08-14 00:00:00 | red bull arena, salzburg, austria | austria | 0-1 | 0-2 | friendly row 4 : 4 | 2013-08-14 00:00:00 | red bull arena, salzburg, austria | austria | 0-2 | 0-2 | friendly row 5 : 5 | 2013-09-06 00:00:00 | rheinpark stadion, vaduz, liechtenstein | liechtenstein | 0-1 | 0-1 | 2014 fifa world cup qualifier row 6 : 6 | 2013-11-15 00:00:00 | karaiskakis stadium, pireaus, greece | romania | 1-0 | 3-1 | 2014 fifa world cup qualifier - play-offs row 7 : 7 | 2013-11-15 00:00:00 | karaiskakis stadium, pireaus, greece | romania | 3-1 | 3-1 | 2014 fifa world cup qualifier - play-offs row 8 : 8 | 2013-11-19 00:00:00 | arena nationala, bucharest, romania | romania | 0-1 | 1-1 | 2014 fifa world cup qualifier - play-offs | col : "# - #" row 1 : # - # | select # - # where date = '19 november 2013' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 2012-08-15 00:00:00 & ullevaal stadion, oslo, norway & norway & 1-3 & 2-3 & friendly \\
1 & 2 & 2012-09-11 00:00:00 & karaiskakis stadium, pireaus, greece & lithuania & 2-0 & 2-0 & 2014 fifa world cup qualifier \\
2 & 3 & 2013-08-14 00:00:00 & red bull arena, salzburg, austria & austria & 0-1 & 0-2 & friendly \\
3 & 4 & 2013-08-14 00:00:00 & red bull arena, salzburg, austria & austria & 0-2 & 0-2 & friendly \\
4 & 5 & 2013-09-06 00:00:00 & rheinpark stadion, vaduz, liechtenstein & liechtenstein & 0-1 & 0-1 & 2014 fifa world cup qualifier \\
5 & 6 & 2013-11-15 00:00:00 & karaiskakis stadium, pireaus, greece & romania & 1-0 & 3-1 & 2014 fifa world cup qualifier - play-offs \\
6 & 7 & 2013-11-15 00:00:00 & karaiskakis stadium, pireaus, greece & romania & 3-1 & 3-1 & 2014 fifa world cup qualifier - play-offs \\
7 & 8 & 2013-11-19 00:00:00 & arena nationala, bucharest, romania & romania & 0-1 & 1-1 & 2014 fifa world cup qualifier - play-offs \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "# - #" \\
\midrule
0 & # - # \\
\bottomrule
\end{tabular}
| select # - # where date = '19 november 2013' <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>2012-08-15 00:00:00</td>
<td>ullevaal stadion, oslo, norway</td>
<td>norway</td>
<td>1-3</td>
<td>2-3</td>
<td>friendly</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2012-09-11 00:00:00</td>
<td>karaiskakis stadium, pireaus, greece</td>
<td>lithuania</td>
<td>2-0</td>
<td>2-0</td>
<td>2014 fifa world cup qualifier</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2013-08-14 00:00:00</td>
<td>red bull arena, salzburg, austria</td>
<td>austria</td>
<td>0-1</td>
<td>0-2</td>
<td>friendly</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2013-08-14 00:00:00</td>
<td>red bull arena, salzburg, austria</td>
<td>austria</td>
<td>0-2</td>
<td>0-2</td>
<td>friendly</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2013-09-06 00:00:00</td>
<td>rheinpark stadion, vaduz, liechtenstein</td>
<td>liechtenstein</td>
<td>0-1</td>
<td>0-1</td>
<td>2014 fifa world cup qualifier</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2013-11-15 00:00:00</td>
<td>karaiskakis stadium, pireaus, greece</td>
<td>romania</td>
<td>1-0</td>
<td>3-1</td>
<td>2014 fifa world cup qualifier - play-offs</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2013-11-15 00:00:00</td>
<td>karaiskakis stadium, pireaus, greece</td>
<td>romania</td>
<td>3-1</td>
<td>3-1</td>
<td>2014 fifa world cup qualifier - play-offs</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2013-11-19 00:00:00</td>
<td>arena nationala, bucharest, romania</td>
<td>romania</td>
<td>0-1</td>
<td>1-1</td>
<td>2014 fifa world cup qualifier - play-offs</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># - #</td>
</tr>
</tbody>
</table> | select # - # where date = '19 november 2013' <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:----------------------------------------|:--------------|:--------|:---------|:------------------------------------------|
| 0 | 1 | 2012-08-15 00:00:00 | ullevaal stadion, oslo, norway | norway | 1-3 | 2-3 | friendly |
| 1 | 2 | 2012-09-11 00:00:00 | karaiskakis stadium, pireaus, greece | lithuania | 2-0 | 2-0 | 2014 fifa world cup qualifier |
| 2 | 3 | 2013-08-14 00:00:00 | red bull arena, salzburg, austria | austria | 0-1 | 0-2 | friendly |
| 3 | 4 | 2013-08-14 00:00:00 | red bull arena, salzburg, austria | austria | 0-2 | 0-2 | friendly |
| 4 | 5 | 2013-09-06 00:00:00 | rheinpark stadion, vaduz, liechtenstein | liechtenstein | 0-1 | 0-1 | 2014 fifa world cup qualifier |
| 5 | 6 | 2013-11-15 00:00:00 | karaiskakis stadium, pireaus, greece | romania | 1-0 | 3-1 | 2014 fifa world cup qualifier - play-offs |
| 6 | 7 | 2013-11-15 00:00:00 | karaiskakis stadium, pireaus, greece | romania | 3-1 | 3-1 | 2014 fifa world cup qualifier - play-offs |
| 7 | 8 | 2013-11-19 00:00:00 | arena nationala, bucharest, romania | romania | 0-1 | 1-1 | 2014 fifa world cup qualifier - play-offs | | | | "# - #" |
|---:|:----------|
| 0 | # - # | | [
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select weight where age = 'open' col : grp | race name | age | sex | weight | distance | date row 1 : 2 | ajc challenge stakes | open | open | wfa | 1000 | march row 2 : 2 | surround stakes | 3yo | fillies | sw | 1400 | march row 3 : 2 | warwick stakes | open | open | wfa | 1400 | august row 4 : 3 | liverpool city cup | open | open | qlty | 1300 | march row 5 : 3 | silver shadow stakes | 3yo | fillies | swp | 1200 | august row 6 : 3 | up and coming stakes | 3yo | c&g | swp | 1200 | august | col : weight row 1 : wfa row 2 : wfa row 3 : qlty | select weight where age = 'open' <table_name> : table \begin{tabular}{llllllll}
\toprule
& grp & race name & age & sex & weight & distance & date \\
\midrule
0 & 2 & ajc challenge stakes & open & open & wfa & 1000 & march \\
1 & 2 & surround stakes & 3yo & fillies & sw & 1400 & march \\
2 & 2 & warwick stakes & open & open & wfa & 1400 & august \\
3 & 3 & liverpool city cup & open & open & qlty & 1300 & march \\
4 & 3 & silver shadow stakes & 3yo & fillies & swp & 1200 & august \\
5 & 3 & up and coming stakes & 3yo & c&g & swp & 1200 & august \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& weight \\
\midrule
0 & wfa \\
1 & wfa \\
2 & qlty \\
\bottomrule
\end{tabular}
| select weight where age = 'open' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>grp</th>
<th>race name</th>
<th>age</th>
<th>sex</th>
<th>weight</th>
<th>distance</th>
<th>date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
<td>ajc challenge stakes</td>
<td>open</td>
<td>open</td>
<td>wfa</td>
<td>1000</td>
<td>march</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>surround stakes</td>
<td>3yo</td>
<td>fillies</td>
<td>sw</td>
<td>1400</td>
<td>march</td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>warwick stakes</td>
<td>open</td>
<td>open</td>
<td>wfa</td>
<td>1400</td>
<td>august</td>
</tr>
<tr>
<th>3</th>
<td>3</td>
<td>liverpool city cup</td>
<td>open</td>
<td>open</td>
<td>qlty</td>
<td>1300</td>
<td>march</td>
</tr>
<tr>
<th>4</th>
<td>3</td>
<td>silver shadow stakes</td>
<td>3yo</td>
<td>fillies</td>
<td>swp</td>
<td>1200</td>
<td>august</td>
</tr>
<tr>
<th>5</th>
<td>3</td>
<td>up and coming stakes</td>
<td>3yo</td>
<td>c&g</td>
<td>swp</td>
<td>1200</td>
<td>august</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>weight</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>wfa</td>
</tr>
<tr>
<th>1</th>
<td>wfa</td>
</tr>
<tr>
<th>2</th>
<td>qlty</td>
</tr>
</tbody>
</table> | select weight where age = 'open' <table_name> : table | | grp | race name | age | sex | weight | distance | date |
|---:|------:|:---------------------|:------|:--------|:---------|-----------:|:-------|
| 0 | 2 | ajc challenge stakes | open | open | wfa | 1000 | march |
| 1 | 2 | surround stakes | 3yo | fillies | sw | 1400 | march |
| 2 | 2 | warwick stakes | open | open | wfa | 1400 | august |
| 3 | 3 | liverpool city cup | open | open | qlty | 1300 | march |
| 4 | 3 | silver shadow stakes | 3yo | fillies | swp | 1200 | august |
| 5 | 3 | up and coming stakes | 3yo | c&g | swp | 1200 | august | | | | weight |
|---:|:---------|
| 0 | wfa |
| 1 | wfa |
| 2 | qlty | | [
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select max ( # ) - min ( # ) where venue = 'olimpico, serravalle, san marino' col : # | date | venue | opponent | score | result | competition row 1 : 1 | 1999-03-27 00:00:00 | mestalla, valencia, spain | austria | 3-0 | 9-0 | euro 2000 qualifying row 2 : 2 | 1999-03-27 00:00:00 | mestalla, valencia, spain | austria | 5-0 | 9-0 | euro 2000 qualifying row 3 : 3 | 1999-03-31 00:00:00 | olimpico, serravalle, san marino | san marino | 0-3 | 0-6 | euro 2000 qualifying row 4 : 4 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 1-0 | 8-0 | euro 2000 qualifying row 5 : 5 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 2-0 | 8-0 | euro 2000 qualifying row 6 : 6 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 4-0 | 8-0 | euro 2000 qualifying row 7 : 7 | 2000-01-26 00:00:00 | cartagonova, cartagena, spain | poland | 2-0 | 3-0 | friendly row 8 : 8 | 2000-01-26 00:00:00 | cartagonova, cartagena, spain | poland | 3-0 | 3-0 | friendly | col : max ( "#" ) row 1 : 3 | select max ( # ) - min ( # ) where venue = 'olimpico, serravalle, san marino' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 1999-03-27 00:00:00 & mestalla, valencia, spain & austria & 3-0 & 9-0 & euro 2000 qualifying \\
1 & 2 & 1999-03-27 00:00:00 & mestalla, valencia, spain & austria & 5-0 & 9-0 & euro 2000 qualifying \\
2 & 3 & 1999-03-31 00:00:00 & olimpico, serravalle, san marino & san marino & 0-3 & 0-6 & euro 2000 qualifying \\
3 & 4 & 1999-09-08 00:00:00 & vivero, badajoz, spain & cyprus & 1-0 & 8-0 & euro 2000 qualifying \\
4 & 5 & 1999-09-08 00:00:00 & vivero, badajoz, spain & cyprus & 2-0 & 8-0 & euro 2000 qualifying \\
5 & 6 & 1999-09-08 00:00:00 & vivero, badajoz, spain & cyprus & 4-0 & 8-0 & euro 2000 qualifying \\
6 & 7 & 2000-01-26 00:00:00 & cartagonova, cartagena, spain & poland & 2-0 & 3-0 & friendly \\
7 & 8 & 2000-01-26 00:00:00 & cartagonova, cartagena, spain & poland & 3-0 & 3-0 & friendly \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& max ( "#" ) \\
\midrule
0 & 3 \\
\bottomrule
\end{tabular}
| select max ( # ) - min ( # ) where venue = 'olimpico, serravalle, san marino' <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>1999-03-27 00:00:00</td>
<td>mestalla, valencia, spain</td>
<td>austria</td>
<td>3-0</td>
<td>9-0</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1999-03-27 00:00:00</td>
<td>mestalla, valencia, spain</td>
<td>austria</td>
<td>5-0</td>
<td>9-0</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1999-03-31 00:00:00</td>
<td>olimpico, serravalle, san marino</td>
<td>san marino</td>
<td>0-3</td>
<td>0-6</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1999-09-08 00:00:00</td>
<td>vivero, badajoz, spain</td>
<td>cyprus</td>
<td>1-0</td>
<td>8-0</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1999-09-08 00:00:00</td>
<td>vivero, badajoz, spain</td>
<td>cyprus</td>
<td>2-0</td>
<td>8-0</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1999-09-08 00:00:00</td>
<td>vivero, badajoz, spain</td>
<td>cyprus</td>
<td>4-0</td>
<td>8-0</td>
<td>euro 2000 qualifying</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2000-01-26 00:00:00</td>
<td>cartagonova, cartagena, spain</td>
<td>poland</td>
<td>2-0</td>
<td>3-0</td>
<td>friendly</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2000-01-26 00:00:00</td>
<td>cartagonova, cartagena, spain</td>
<td>poland</td>
<td>3-0</td>
<td>3-0</td>
<td>friendly</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>max ( "#" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3</td>
</tr>
</tbody>
</table> | select max ( # ) - min ( # ) where venue = 'olimpico, serravalle, san marino' <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:---------------------------------|:-----------|:--------|:---------|:---------------------|
| 0 | 1 | 1999-03-27 00:00:00 | mestalla, valencia, spain | austria | 3-0 | 9-0 | euro 2000 qualifying |
| 1 | 2 | 1999-03-27 00:00:00 | mestalla, valencia, spain | austria | 5-0 | 9-0 | euro 2000 qualifying |
| 2 | 3 | 1999-03-31 00:00:00 | olimpico, serravalle, san marino | san marino | 0-3 | 0-6 | euro 2000 qualifying |
| 3 | 4 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 1-0 | 8-0 | euro 2000 qualifying |
| 4 | 5 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 2-0 | 8-0 | euro 2000 qualifying |
| 5 | 6 | 1999-09-08 00:00:00 | vivero, badajoz, spain | cyprus | 4-0 | 8-0 | euro 2000 qualifying |
| 6 | 7 | 2000-01-26 00:00:00 | cartagonova, cartagena, spain | poland | 2-0 | 3-0 | friendly |
| 7 | 8 | 2000-01-26 00:00:00 | cartagonova, cartagena, spain | poland | 3-0 | 3-0 | friendly | | | | max ( "#" ) |
|---:|--------------:|
| 0 | 3 | | [
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select nation where silver = 0 and total = '1' 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 : nation row 1 : great britain (gbr) row 2 : south korea (kor) row 3 : switzerland (sui) row 4 : thailand (tha) row 5 : uzbekistan (uzb) | select nation where silver = 0 and total = '1' <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
& nation \\
\midrule
0 & great britain (gbr) \\
1 & south korea (kor) \\
2 & switzerland (sui) \\
3 & thailand (tha) \\
4 & uzbekistan (uzb) \\
\bottomrule
\end{tabular}
| select nation where silver = 0 and total = '1' <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>nation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>great britain (gbr)</td>
</tr>
<tr>
<th>1</th>
<td>south korea (kor)</td>
</tr>
<tr>
<th>2</th>
<td>switzerland (sui)</td>
</tr>
<tr>
<th>3</th>
<td>thailand (tha)</td>
</tr>
<tr>
<th>4</th>
<td>uzbekistan (uzb)</td>
</tr>
</tbody>
</table> | select nation where silver = 0 and total = '1' <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 | | | | nation |
|---:|:--------------------|
| 0 | great britain (gbr) |
| 1 | south korea (kor) |
| 2 | switzerland (sui) |
| 3 | thailand (tha) |
| 4 | uzbekistan (uzb) | | [
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select count ( place ) where to par > 1294 col : place | player | country | score | to par row 1 : 1 | retief goosen | south africa | 68-70-69=207 | -3 row 2 : t2 | olin browne | united states | 67-71-72=210 | e row 3 : t2 | jason gore | united states | 71-67-72=210 | e row 4 : t4 | michael campbell | new zealand | 71-69-71=211 | 1 row 5 : t4 | mark hensby | australia | 71-68-72=211 | 1 row 6 : 6 | david toms | united states | 70-72-70=212 | 2 row 7 : t7 | k. j. choi | south korea | 69-70-74=213 | 3 row 8 : t7 | peter hedblom | sweden | 77-66-70=213 | 3 row 9 : t7 | lee westwood | england | 68-72-73=213 | 3 row 10 : t7 | tiger woods | united states | 70-71-72=213 | 3 | col : count ( "place" ) row 1 : 7 | select count ( place ) where to par > 1294 <table_name> : table \begin{tabular}{llllll}
\toprule
& place & player & country & score & to par \\
\midrule
0 & 1 & retief goosen & south africa & 68-70-69=207 & -3 \\
1 & t2 & olin browne & united states & 67-71-72=210 & e \\
2 & t2 & jason gore & united states & 71-67-72=210 & e \\
3 & t4 & michael campbell & new zealand & 71-69-71=211 & 1 \\
4 & t4 & mark hensby & australia & 71-68-72=211 & 1 \\
5 & 6 & david toms & united states & 70-72-70=212 & 2 \\
6 & t7 & k. j. choi & south korea & 69-70-74=213 & 3 \\
7 & t7 & peter hedblom & sweden & 77-66-70=213 & 3 \\
8 & t7 & lee westwood & england & 68-72-73=213 & 3 \\
9 & t7 & tiger woods & united states & 70-71-72=213 & 3 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "place" ) \\
\midrule
0 & 7 \\
\bottomrule
\end{tabular}
| select count ( place ) where to par > 1294 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>place</th>
<th>player</th>
<th>country</th>
<th>score</th>
<th>to par</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>retief goosen</td>
<td>south africa</td>
<td>68-70-69=207</td>
<td>-3</td>
</tr>
<tr>
<th>1</th>
<td>t2</td>
<td>olin browne</td>
<td>united states</td>
<td>67-71-72=210</td>
<td>e</td>
</tr>
<tr>
<th>2</th>
<td>t2</td>
<td>jason gore</td>
<td>united states</td>
<td>71-67-72=210</td>
<td>e</td>
</tr>
<tr>
<th>3</th>
<td>t4</td>
<td>michael campbell</td>
<td>new zealand</td>
<td>71-69-71=211</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>t4</td>
<td>mark hensby</td>
<td>australia</td>
<td>71-68-72=211</td>
<td>1</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>david toms</td>
<td>united states</td>
<td>70-72-70=212</td>
<td>2</td>
</tr>
<tr>
<th>6</th>
<td>t7</td>
<td>k. j. choi</td>
<td>south korea</td>
<td>69-70-74=213</td>
<td>3</td>
</tr>
<tr>
<th>7</th>
<td>t7</td>
<td>peter hedblom</td>
<td>sweden</td>
<td>77-66-70=213</td>
<td>3</td>
</tr>
<tr>
<th>8</th>
<td>t7</td>
<td>lee westwood</td>
<td>england</td>
<td>68-72-73=213</td>
<td>3</td>
</tr>
<tr>
<th>9</th>
<td>t7</td>
<td>tiger woods</td>
<td>united states</td>
<td>70-71-72=213</td>
<td>3</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "place" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>7</td>
</tr>
</tbody>
</table> | select count ( place ) where to par > 1294 <table_name> : table | | place | player | country | score | to par |
|---:|:--------|:-----------------|:--------------|:-------------|:---------|
| 0 | 1 | retief goosen | south africa | 68-70-69=207 | -3 |
| 1 | t2 | olin browne | united states | 67-71-72=210 | e |
| 2 | t2 | jason gore | united states | 71-67-72=210 | e |
| 3 | t4 | michael campbell | new zealand | 71-69-71=211 | 1 |
| 4 | t4 | mark hensby | australia | 71-68-72=211 | 1 |
| 5 | 6 | david toms | united states | 70-72-70=212 | 2 |
| 6 | t7 | k. j. choi | south korea | 69-70-74=213 | 3 |
| 7 | t7 | peter hedblom | sweden | 77-66-70=213 | 3 |
| 8 | t7 | lee westwood | england | 68-72-73=213 | 3 |
| 9 | t7 | tiger woods | united states | 70-71-72=213 | 3 | | | | count ( "place" ) |
|---:|--------------------:|
| 0 | 7 | | [
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select count ( distinct stadium ) where city = 'tarrazu' col : team | manager | city | stadium | capacity row 1 : ld alajuelense | oscar "el machillo" ramirez | alajuela | alejandro morera soto | 17895 row 2 : belen siglo xxi | vinicio alvarado | belen | estadio polideportivo de belen | 3000 row 3 : cs cartagines | jhonny chavez | cartago | fello meza | 13500 row 4 : cs herediano | jafet soto | heredia | rosabal cordero | 8144 row 5 : limon f.c | hernan fernando sossa | limon | estadio nuevo de limon/estadio juan goban | 3,000/2,000 row 6 : orion f.c | martin arreola | tarrazu | estadio municipal de tarrazu | 1500 row 7 : municipal perez zeledon | mauricio wright | san isidro | municipal | 6000 row 8 : puntarenas fc | luis fernando fallas | puntarenas | "lito" perez | 4105 row 9 : asociacion deportiva san carlos | marvin solano | ciudad quesada | carlos alvarez | 5600 row 10 : santos de guapiles | gustavo martinez | guapiles | ebal rodriguez | 3000 row 11 : deportivo saprissa | alexander guimaraes | tibas | ricardo saprissa | 23000 | col : count ( "distinct stadium" ) row 1 : 1 | select count ( distinct stadium ) where city = 'tarrazu' <table_name> : table \begin{tabular}{llllll}
\toprule
& team & manager & city & stadium & capacity \\
\midrule
0 & ld alajuelense & oscar "el machillo" ramirez & alajuela & alejandro morera soto & 17895 \\
1 & belen siglo xxi & vinicio alvarado & belen & estadio polideportivo de belen & 3000 \\
2 & cs cartagines & jhonny chavez & cartago & fello meza & 13500 \\
3 & cs herediano & jafet soto & heredia & rosabal cordero & 8144 \\
4 & limon f.c & hernan fernando sossa & limon & estadio nuevo de limon/estadio juan goban & 3,000/2,000 \\
5 & orion f.c & martin arreola & tarrazu & estadio municipal de tarrazu & 1500 \\
6 & municipal perez zeledon & mauricio wright & san isidro & municipal & 6000 \\
7 & puntarenas fc & luis fernando fallas & puntarenas & "lito" perez & 4105 \\
8 & asociacion deportiva san carlos & marvin solano & ciudad quesada & carlos alvarez & 5600 \\
9 & santos de guapiles & gustavo martinez & guapiles & ebal rodriguez & 3000 \\
10 & deportivo saprissa & alexander guimaraes & tibas & ricardo saprissa & 23000 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "distinct stadium" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( distinct stadium ) where city = 'tarrazu' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
<th>manager</th>
<th>city</th>
<th>stadium</th>
<th>capacity</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>ld alajuelense</td>
<td>oscar "el machillo" ramirez</td>
<td>alajuela</td>
<td>alejandro morera soto</td>
<td>17895</td>
</tr>
<tr>
<th>1</th>
<td>belen siglo xxi</td>
<td>vinicio alvarado</td>
<td>belen</td>
<td>estadio polideportivo de belen</td>
<td>3000</td>
</tr>
<tr>
<th>2</th>
<td>cs cartagines</td>
<td>jhonny chavez</td>
<td>cartago</td>
<td>fello meza</td>
<td>13500</td>
</tr>
<tr>
<th>3</th>
<td>cs herediano</td>
<td>jafet soto</td>
<td>heredia</td>
<td>rosabal cordero</td>
<td>8144</td>
</tr>
<tr>
<th>4</th>
<td>limon f.c</td>
<td>hernan fernando sossa</td>
<td>limon</td>
<td>estadio nuevo de limon/estadio juan goban</td>
<td>3,000/2,000</td>
</tr>
<tr>
<th>5</th>
<td>orion f.c</td>
<td>martin arreola</td>
<td>tarrazu</td>
<td>estadio municipal de tarrazu</td>
<td>1500</td>
</tr>
<tr>
<th>6</th>
<td>municipal perez zeledon</td>
<td>mauricio wright</td>
<td>san isidro</td>
<td>municipal</td>
<td>6000</td>
</tr>
<tr>
<th>7</th>
<td>puntarenas fc</td>
<td>luis fernando fallas</td>
<td>puntarenas</td>
<td>"lito" perez</td>
<td>4105</td>
</tr>
<tr>
<th>8</th>
<td>asociacion deportiva san carlos</td>
<td>marvin solano</td>
<td>ciudad quesada</td>
<td>carlos alvarez</td>
<td>5600</td>
</tr>
<tr>
<th>9</th>
<td>santos de guapiles</td>
<td>gustavo martinez</td>
<td>guapiles</td>
<td>ebal rodriguez</td>
<td>3000</td>
</tr>
<tr>
<th>10</th>
<td>deportivo saprissa</td>
<td>alexander guimaraes</td>
<td>tibas</td>
<td>ricardo saprissa</td>
<td>23000</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "distinct stadium" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( distinct stadium ) where city = 'tarrazu' <table_name> : table | | team | manager | city | stadium | capacity |
|---:|:--------------------------------|:----------------------------|:---------------|:------------------------------------------|:------------|
| 0 | ld alajuelense | oscar "el machillo" ramirez | alajuela | alejandro morera soto | 17895 |
| 1 | belen siglo xxi | vinicio alvarado | belen | estadio polideportivo de belen | 3000 |
| 2 | cs cartagines | jhonny chavez | cartago | fello meza | 13500 |
| 3 | cs herediano | jafet soto | heredia | rosabal cordero | 8144 |
| 4 | limon f.c | hernan fernando sossa | limon | estadio nuevo de limon/estadio juan goban | 3,000/2,000 |
| 5 | orion f.c | martin arreola | tarrazu | estadio municipal de tarrazu | 1500 |
| 6 | municipal perez zeledon | mauricio wright | san isidro | municipal | 6000 |
| 7 | puntarenas fc | luis fernando fallas | puntarenas | "lito" perez | 4105 |
| 8 | asociacion deportiva san carlos | marvin solano | ciudad quesada | carlos alvarez | 5600 |
| 9 | santos de guapiles | gustavo martinez | guapiles | ebal rodriguez | 3000 |
| 10 | deportivo saprissa | alexander guimaraes | tibas | ricardo saprissa | 23000 | | | | count ( "distinct stadium" ) |
|---:|-------------------------------:|
| 0 | 1 | | [
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select max ( u.s. billboard 200 chart ) where u.s. billboard 200 chart = 167 col : release date | album | record label | uk albums chart | u.s. billboard 200 chart row 1 : july 1983 | the alarm (ep) | i.r.s. records | none | 126 row 2 : february 1984 | declaration | i.r.s. records | 6 | 50 row 3 : october 1985 | strength | i.r.s. records | 18 | 39 row 4 : november 1987 | eye of the hurricane | i.r.s. records | 23 | 77 row 5 : november 1988 | electric folklore live | i.r.s. records | 62 | 167 row 6 : 1988 | compact hits | a&m records | none | none row 7 : september 1989 | change | i.r.s. records | 13 | 75 row 8 : november 1990 | standards | i.r.s. records | 47 | 177 row 9 : april 1991 | raw | i.r.s. records | 33 | 161 row 10 : 2001 | eponymous 1981-1983 | 21st century | none | none row 11 : 2001 | declaration 1984-1985 | 21st century | none | none row 12 : 2001 | strength 1985-1986 | 21st century | none | none row 13 : 2001 | eye of the hurricane 1987-1988 | 21st century | none | none row 14 : 2001 | electric folklore live 1987-1988 | 21st century | none | none row 15 : 2001 | change 1989-1990 | 21st century | none | none row 16 : 2001 | raw 1990-1991 | 21st century | none | none row 17 : 21 sept 2002 | close | 21st century | none | none row 18 : october 2002 | the normal rules do not apply | 21st century | none | none row 19 : 17 dec 2002 | trafficking | 21st century | none | none row 20 : 17 dec 2002 | edward henry street | 21st century | none | none row 21 : january 2003 | coming home | 21st century | none | none row 22 : 15 jan 2003 | live at hammersmith palais 1984 | 21st century | none | none row 23 : 23 june 2003 | the alarm ep - 20th anniversary collectors edition | 21st century | none | none row 24 : 17 jul 2003 | live at glasgow garage | 21st century | none | none row 25 : 17 jul 2003 | live at liverpool masque theatre | 21st century | none | none row 26 : 17 jul 2003 | live at london mean fiddle | 21st century | none | none row 27 : 19 oct 2003 | the sound and the fury | shakedown records | none | none row 28 : 2004 | in the poppyfields | snapper music | 107 | none row 29 : 2004 | live in the poppyfields | snapper music | none | none row 30 : 2005 | alt-strength | 21st century | none | none row 31 : 2006 | under attack | liberty | 138 | none row 32 : 2006 | the best of the alarm and mike peters | emi | none | none row 33 : 2006 | alarm mmv - the saturday gigs | 21st century | none | none row 34 : 2007 | the collection | emi gold | none | none row 35 : july 2007 | three sevens clash | 21st century | none | none row 36 : august 2007 | fightback | 21st century | none | none row 37 : september 2007 | this is not a test | 21st century | none | none row 38 : october 2007 | situation under control | 21st century | none | none row 39 : november 2007 | call to action | 21st century | none | none row 40 : december 2007 | 1983/84 | 21st century | none | none row 41 : january 2008 | counter attack | 21st century | none | none row 42 : 2008 | guerilla tactics | 21st century | none | none row 43 : 2008 | the alarm - bbc radio sessions 1983-1991 | 21st century | none | none row 44 : april 2010 | direct action | 21st century | none | none row 45 : march 2013 | vinyl (2012 film) soundtrack | none | none | none | col : max ( "u.s. billboard 200 chart" ) row 1 : 167 | select max ( u.s. billboard 200 chart ) where u.s. billboard 200 chart = 167 <table_name> : table \begin{tabular}{llllll}
\toprule
& release date & album & record label & uk albums chart & u.s. billboard 200 chart \\
\midrule
0 & july 1983 & the alarm (ep) & i.r.s. records & none & 126 \\
1 & february 1984 & declaration & i.r.s. records & 6 & 50 \\
2 & october 1985 & strength & i.r.s. records & 18 & 39 \\
3 & november 1987 & eye of the hurricane & i.r.s. records & 23 & 77 \\
4 & november 1988 & electric folklore live & i.r.s. records & 62 & 167 \\
5 & 1988 & compact hits & a&m records & none & none \\
6 & september 1989 & change & i.r.s. records & 13 & 75 \\
7 & november 1990 & standards & i.r.s. records & 47 & 177 \\
8 & april 1991 & raw & i.r.s. records & 33 & 161 \\
9 & 2001 & eponymous 1981-1983 & 21st century & none & none \\
10 & 2001 & declaration 1984-1985 & 21st century & none & none \\
11 & 2001 & strength 1985-1986 & 21st century & none & none \\
12 & 2001 & eye of the hurricane 1987-1988 & 21st century & none & none \\
13 & 2001 & electric folklore live 1987-1988 & 21st century & none & none \\
14 & 2001 & change 1989-1990 & 21st century & none & none \\
15 & 2001 & raw 1990-1991 & 21st century & none & none \\
16 & 21 sept 2002 & close & 21st century & none & none \\
17 & october 2002 & the normal rules do not apply & 21st century & none & none \\
18 & 17 dec 2002 & trafficking & 21st century & none & none \\
19 & 17 dec 2002 & edward henry street & 21st century & none & none \\
20 & january 2003 & coming home & 21st century & none & none \\
21 & 15 jan 2003 & live at hammersmith palais 1984 & 21st century & none & none \\
22 & 23 june 2003 & the alarm ep - 20th anniversary collectors edition & 21st century & none & none \\
23 & 17 jul 2003 & live at glasgow garage & 21st century & none & none \\
24 & 17 jul 2003 & live at liverpool masque theatre & 21st century & none & none \\
25 & 17 jul 2003 & live at london mean fiddle & 21st century & none & none \\
26 & 19 oct 2003 & the sound and the fury & shakedown records & none & none \\
27 & 2004 & in the poppyfields & snapper music & 107 & none \\
28 & 2004 & live in the poppyfields & snapper music & none & none \\
29 & 2005 & alt-strength & 21st century & none & none \\
30 & 2006 & under attack & liberty & 138 & none \\
31 & 2006 & the best of the alarm and mike peters & emi & none & none \\
32 & 2006 & alarm mmv - the saturday gigs & 21st century & none & none \\
33 & 2007 & the collection & emi gold & none & none \\
34 & july 2007 & three sevens clash & 21st century & none & none \\
35 & august 2007 & fightback & 21st century & none & none \\
36 & september 2007 & this is not a test & 21st century & none & none \\
37 & october 2007 & situation under control & 21st century & none & none \\
38 & november 2007 & call to action & 21st century & none & none \\
39 & december 2007 & 1983/84 & 21st century & none & none \\
40 & january 2008 & counter attack & 21st century & none & none \\
41 & 2008 & guerilla tactics & 21st century & none & none \\
42 & 2008 & the alarm - bbc radio sessions 1983-1991 & 21st century & none & none \\
43 & april 2010 & direct action & 21st century & none & none \\
44 & march 2013 & vinyl (2012 film) soundtrack & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& max ( "u.s. billboard 200 chart" ) \\
\midrule
0 & 167 \\
\bottomrule
\end{tabular}
| select max ( u.s. billboard 200 chart ) where u.s. billboard 200 chart = 167 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>release date</th>
<th>album</th>
<th>record label</th>
<th>uk albums chart</th>
<th>u.s. billboard 200 chart</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>july 1983</td>
<td>the alarm (ep)</td>
<td>i.r.s. records</td>
<td>none</td>
<td>126</td>
</tr>
<tr>
<th>1</th>
<td>february 1984</td>
<td>declaration</td>
<td>i.r.s. records</td>
<td>6</td>
<td>50</td>
</tr>
<tr>
<th>2</th>
<td>october 1985</td>
<td>strength</td>
<td>i.r.s. records</td>
<td>18</td>
<td>39</td>
</tr>
<tr>
<th>3</th>
<td>november 1987</td>
<td>eye of the hurricane</td>
<td>i.r.s. records</td>
<td>23</td>
<td>77</td>
</tr>
<tr>
<th>4</th>
<td>november 1988</td>
<td>electric folklore live</td>
<td>i.r.s. records</td>
<td>62</td>
<td>167</td>
</tr>
<tr>
<th>5</th>
<td>1988</td>
<td>compact hits</td>
<td>a&m records</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>september 1989</td>
<td>change</td>
<td>i.r.s. records</td>
<td>13</td>
<td>75</td>
</tr>
<tr>
<th>7</th>
<td>november 1990</td>
<td>standards</td>
<td>i.r.s. records</td>
<td>47</td>
<td>177</td>
</tr>
<tr>
<th>8</th>
<td>april 1991</td>
<td>raw</td>
<td>i.r.s. records</td>
<td>33</td>
<td>161</td>
</tr>
<tr>
<th>9</th>
<td>2001</td>
<td>eponymous 1981-1983</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>2001</td>
<td>declaration 1984-1985</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>2001</td>
<td>strength 1985-1986</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>2001</td>
<td>eye of the hurricane 1987-1988</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>2001</td>
<td>electric folklore live 1987-1988</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2001</td>
<td>change 1989-1990</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>2001</td>
<td>raw 1990-1991</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>21 sept 2002</td>
<td>close</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>october 2002</td>
<td>the normal rules do not apply</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>17 dec 2002</td>
<td>trafficking</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>17 dec 2002</td>
<td>edward henry street</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>january 2003</td>
<td>coming home</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>15 jan 2003</td>
<td>live at hammersmith palais 1984</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23 june 2003</td>
<td>the alarm ep - 20th anniversary collectors edition</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>17 jul 2003</td>
<td>live at glasgow garage</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>17 jul 2003</td>
<td>live at liverpool masque theatre</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>17 jul 2003</td>
<td>live at london mean fiddle</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>19 oct 2003</td>
<td>the sound and the fury</td>
<td>shakedown records</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>2004</td>
<td>in the poppyfields</td>
<td>snapper music</td>
<td>107</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>2004</td>
<td>live in the poppyfields</td>
<td>snapper music</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>2005</td>
<td>alt-strength</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>2006</td>
<td>under attack</td>
<td>liberty</td>
<td>138</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>2006</td>
<td>the best of the alarm and mike peters</td>
<td>emi</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>32</th>
<td>2006</td>
<td>alarm mmv - the saturday gigs</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>2007</td>
<td>the collection</td>
<td>emi gold</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>34</th>
<td>july 2007</td>
<td>three sevens clash</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>35</th>
<td>august 2007</td>
<td>fightback</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>36</th>
<td>september 2007</td>
<td>this is not a test</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>37</th>
<td>october 2007</td>
<td>situation under control</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>38</th>
<td>november 2007</td>
<td>call to action</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>39</th>
<td>december 2007</td>
<td>1983/84</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>40</th>
<td>january 2008</td>
<td>counter attack</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>41</th>
<td>2008</td>
<td>guerilla tactics</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>42</th>
<td>2008</td>
<td>the alarm - bbc radio sessions 1983-1991</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>43</th>
<td>april 2010</td>
<td>direct action</td>
<td>21st century</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>44</th>
<td>march 2013</td>
<td>vinyl (2012 film) soundtrack</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>max ( "u.s. billboard 200 chart" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>167</td>
</tr>
</tbody>
</table> | select max ( u.s. billboard 200 chart ) where u.s. billboard 200 chart = 167 <table_name> : table | | release date | album | record label | uk albums chart | u.s. billboard 200 chart |
|---:|:---------------|:---------------------------------------------------|:------------------|:------------------|:---------------------------|
| 0 | july 1983 | the alarm (ep) | i.r.s. records | none | 126 |
| 1 | february 1984 | declaration | i.r.s. records | 6 | 50 |
| 2 | october 1985 | strength | i.r.s. records | 18 | 39 |
| 3 | november 1987 | eye of the hurricane | i.r.s. records | 23 | 77 |
| 4 | november 1988 | electric folklore live | i.r.s. records | 62 | 167 |
| 5 | 1988 | compact hits | a&m records | none | none |
| 6 | september 1989 | change | i.r.s. records | 13 | 75 |
| 7 | november 1990 | standards | i.r.s. records | 47 | 177 |
| 8 | april 1991 | raw | i.r.s. records | 33 | 161 |
| 9 | 2001 | eponymous 1981-1983 | 21st century | none | none |
| 10 | 2001 | declaration 1984-1985 | 21st century | none | none |
| 11 | 2001 | strength 1985-1986 | 21st century | none | none |
| 12 | 2001 | eye of the hurricane 1987-1988 | 21st century | none | none |
| 13 | 2001 | electric folklore live 1987-1988 | 21st century | none | none |
| 14 | 2001 | change 1989-1990 | 21st century | none | none |
| 15 | 2001 | raw 1990-1991 | 21st century | none | none |
| 16 | 21 sept 2002 | close | 21st century | none | none |
| 17 | october 2002 | the normal rules do not apply | 21st century | none | none |
| 18 | 17 dec 2002 | trafficking | 21st century | none | none |
| 19 | 17 dec 2002 | edward henry street | 21st century | none | none |
| 20 | january 2003 | coming home | 21st century | none | none |
| 21 | 15 jan 2003 | live at hammersmith palais 1984 | 21st century | none | none |
| 22 | 23 june 2003 | the alarm ep - 20th anniversary collectors edition | 21st century | none | none |
| 23 | 17 jul 2003 | live at glasgow garage | 21st century | none | none |
| 24 | 17 jul 2003 | live at liverpool masque theatre | 21st century | none | none |
| 25 | 17 jul 2003 | live at london mean fiddle | 21st century | none | none |
| 26 | 19 oct 2003 | the sound and the fury | shakedown records | none | none |
| 27 | 2004 | in the poppyfields | snapper music | 107 | none |
| 28 | 2004 | live in the poppyfields | snapper music | none | none |
| 29 | 2005 | alt-strength | 21st century | none | none |
| 30 | 2006 | under attack | liberty | 138 | none |
| 31 | 2006 | the best of the alarm and mike peters | emi | none | none |
| 32 | 2006 | alarm mmv - the saturday gigs | 21st century | none | none |
| 33 | 2007 | the collection | emi gold | none | none |
| 34 | july 2007 | three sevens clash | 21st century | none | none |
| 35 | august 2007 | fightback | 21st century | none | none |
| 36 | september 2007 | this is not a test | 21st century | none | none |
| 37 | october 2007 | situation under control | 21st century | none | none |
| 38 | november 2007 | call to action | 21st century | none | none |
| 39 | december 2007 | 1983/84 | 21st century | none | none |
| 40 | january 2008 | counter attack | 21st century | none | none |
| 41 | 2008 | guerilla tactics | 21st century | none | none |
| 42 | 2008 | the alarm - bbc radio sessions 1983-1991 | 21st century | none | none |
| 43 | april 2010 | direct action | 21st century | none | none |
| 44 | march 2013 | vinyl (2012 film) soundtrack | none | none | none | | | | max ( "u.s. billboard 200 chart" ) |
|---:|-------------------------------------:|
| 0 | 167 | | [
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] |
select count ( ethnicity ) where ethnicity = 334 col : ethnicity | 1926 census | 1939 census | 1959 census | 1970 census | 1979 census | 1989 census | 2007 estimate row 1 : ossetians | 60,351 (69.1%) | 72,266 (68.1%) | 63,698 (65.8%) | 66,073 (66.5%) | 65,077 (66.4%) | 65,200 (65.9%) | 47,000 (67.1%) row 2 : georgians | 23,538 (26.9%) | 27,525 (25.9%) | 26,584 (27.5%) | 28,125 (28.3%) | 28,187 (28.8%) | 28,700 (29.0%) | 17,500 (25.0%) row 3 : russians | 157 (0.2%) | 2,111 (2.0%) | 2,380 (2.5%) | 1,574 (1.6%) | 2,046 (2.1%) | 2,128 (2.1%) | 2,100 (3.0%) row 4 : armenians | 1,374 (1.6%) | 1,537 (1.4%) | 1,555 (1.6%) | 1,254 (1.3%) | 953 (1.0%) | 871 (0.9%) | 900 (1.3%) row 5 : jews | 1,739 (2.0%) | 1,979 (1.9%) | 1,723 (1.8%) | 1,485 (1.5%) | 654 (0.7%) | 648 (0.7%) | 650 (0.9%) row 6 : others | 216 (0.2%) | 700 (0.7%) | 867 (0.9%) | 910 (0.9%) | 1,071 (1.1%) | 1,453 (1.5%) | 1,850 (2.6%) row 7 : total | 87375 | 106118 | 96807 | 99421 | 97988 | 99000 | 70000 | col : count ( "ethnicity" ) row 1 : 0 | select count ( ethnicity ) where ethnicity = 334 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& ethnicity & 1926 census & 1939 census & 1959 census & 1970 census & 1979 census & 1989 census & 2007 estimate \\
\midrule
0 & ossetians & 60,351 (69.1%) & 72,266 (68.1%) & 63,698 (65.8%) & 66,073 (66.5%) & 65,077 (66.4%) & 65,200 (65.9%) & 47,000 (67.1%) \\
1 & georgians & 23,538 (26.9%) & 27,525 (25.9%) & 26,584 (27.5%) & 28,125 (28.3%) & 28,187 (28.8%) & 28,700 (29.0%) & 17,500 (25.0%) \\
2 & russians & 157 (0.2%) & 2,111 (2.0%) & 2,380 (2.5%) & 1,574 (1.6%) & 2,046 (2.1%) & 2,128 (2.1%) & 2,100 (3.0%) \\
3 & armenians & 1,374 (1.6%) & 1,537 (1.4%) & 1,555 (1.6%) & 1,254 (1.3%) & 953 (1.0%) & 871 (0.9%) & 900 (1.3%) \\
4 & jews & 1,739 (2.0%) & 1,979 (1.9%) & 1,723 (1.8%) & 1,485 (1.5%) & 654 (0.7%) & 648 (0.7%) & 650 (0.9%) \\
5 & others & 216 (0.2%) & 700 (0.7%) & 867 (0.9%) & 910 (0.9%) & 1,071 (1.1%) & 1,453 (1.5%) & 1,850 (2.6%) \\
6 & total & 87375 & 106118 & 96807 & 99421 & 97988 & 99000 & 70000 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "ethnicity" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( ethnicity ) where ethnicity = 334 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>ethnicity</th>
<th>1926 census</th>
<th>1939 census</th>
<th>1959 census</th>
<th>1970 census</th>
<th>1979 census</th>
<th>1989 census</th>
<th>2007 estimate</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>ossetians</td>
<td>60,351 (69.1%)</td>
<td>72,266 (68.1%)</td>
<td>63,698 (65.8%)</td>
<td>66,073 (66.5%)</td>
<td>65,077 (66.4%)</td>
<td>65,200 (65.9%)</td>
<td>47,000 (67.1%)</td>
</tr>
<tr>
<th>1</th>
<td>georgians</td>
<td>23,538 (26.9%)</td>
<td>27,525 (25.9%)</td>
<td>26,584 (27.5%)</td>
<td>28,125 (28.3%)</td>
<td>28,187 (28.8%)</td>
<td>28,700 (29.0%)</td>
<td>17,500 (25.0%)</td>
</tr>
<tr>
<th>2</th>
<td>russians</td>
<td>157 (0.2%)</td>
<td>2,111 (2.0%)</td>
<td>2,380 (2.5%)</td>
<td>1,574 (1.6%)</td>
<td>2,046 (2.1%)</td>
<td>2,128 (2.1%)</td>
<td>2,100 (3.0%)</td>
</tr>
<tr>
<th>3</th>
<td>armenians</td>
<td>1,374 (1.6%)</td>
<td>1,537 (1.4%)</td>
<td>1,555 (1.6%)</td>
<td>1,254 (1.3%)</td>
<td>953 (1.0%)</td>
<td>871 (0.9%)</td>
<td>900 (1.3%)</td>
</tr>
<tr>
<th>4</th>
<td>jews</td>
<td>1,739 (2.0%)</td>
<td>1,979 (1.9%)</td>
<td>1,723 (1.8%)</td>
<td>1,485 (1.5%)</td>
<td>654 (0.7%)</td>
<td>648 (0.7%)</td>
<td>650 (0.9%)</td>
</tr>
<tr>
<th>5</th>
<td>others</td>
<td>216 (0.2%)</td>
<td>700 (0.7%)</td>
<td>867 (0.9%)</td>
<td>910 (0.9%)</td>
<td>1,071 (1.1%)</td>
<td>1,453 (1.5%)</td>
<td>1,850 (2.6%)</td>
</tr>
<tr>
<th>6</th>
<td>total</td>
<td>87375</td>
<td>106118</td>
<td>96807</td>
<td>99421</td>
<td>97988</td>
<td>99000</td>
<td>70000</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "ethnicity" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( ethnicity ) where ethnicity = 334 <table_name> : table | | ethnicity | 1926 census | 1939 census | 1959 census | 1970 census | 1979 census | 1989 census | 2007 estimate |
|---:|:------------|:---------------|:---------------|:---------------|:---------------|:---------------|:---------------|:----------------|
| 0 | ossetians | 60,351 (69.1%) | 72,266 (68.1%) | 63,698 (65.8%) | 66,073 (66.5%) | 65,077 (66.4%) | 65,200 (65.9%) | 47,000 (67.1%) |
| 1 | georgians | 23,538 (26.9%) | 27,525 (25.9%) | 26,584 (27.5%) | 28,125 (28.3%) | 28,187 (28.8%) | 28,700 (29.0%) | 17,500 (25.0%) |
| 2 | russians | 157 (0.2%) | 2,111 (2.0%) | 2,380 (2.5%) | 1,574 (1.6%) | 2,046 (2.1%) | 2,128 (2.1%) | 2,100 (3.0%) |
| 3 | armenians | 1,374 (1.6%) | 1,537 (1.4%) | 1,555 (1.6%) | 1,254 (1.3%) | 953 (1.0%) | 871 (0.9%) | 900 (1.3%) |
| 4 | jews | 1,739 (2.0%) | 1,979 (1.9%) | 1,723 (1.8%) | 1,485 (1.5%) | 654 (0.7%) | 648 (0.7%) | 650 (0.9%) |
| 5 | others | 216 (0.2%) | 700 (0.7%) | 867 (0.9%) | 910 (0.9%) | 1,071 (1.1%) | 1,453 (1.5%) | 1,850 (2.6%) |
| 6 | total | 87375 | 106118 | 96807 | 99421 | 97988 | 99000 | 70000 | | | | count ( "ethnicity" ) |
|---:|------------------------:|
| 0 | 0 | | [
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] |
select playoffs where playoffs = 'did not make playoffs' col : year | team record w | team record l | playoffs row 1 : 2001 | 7 | 2 | 3rd qualifier, region 2 row 2 : 2002 | 8 | 1 | 2nd qualifier, region 2 row 3 : 2003 | 8 | 1 | 2nd qualifier, region 2 row 4 : 2004 | 7 | 2 | 2nd qualifier, region 2 row 5 : 2005 | 3 | 5 | did not make playoffs row 6 : 2006 | 5 | 4 | 4th qualifier, region 2 row 7 : 2007 | 13 | 1 | 1st qualifier, region 2 row 8 : 2008 | 7 | 4 | 2nd qualifier, region 2 row 9 : 2009 | 5 | 5 | did not make playoffs row 10 : 2010 | 5 | 5 | did not make playoffs | col : playoffs row 1 : did not make playoffs row 2 : did not make playoffs row 3 : did not make playoffs | select playoffs where playoffs = 'did not make playoffs' <table_name> : table \begin{tabular}{lllll}
\toprule
& year & team record w & team record l & playoffs \\
\midrule
0 & 2001 & 7 & 2 & 3rd qualifier, region 2 \\
1 & 2002 & 8 & 1 & 2nd qualifier, region 2 \\
2 & 2003 & 8 & 1 & 2nd qualifier, region 2 \\
3 & 2004 & 7 & 2 & 2nd qualifier, region 2 \\
4 & 2005 & 3 & 5 & did not make playoffs \\
5 & 2006 & 5 & 4 & 4th qualifier, region 2 \\
6 & 2007 & 13 & 1 & 1st qualifier, region 2 \\
7 & 2008 & 7 & 4 & 2nd qualifier, region 2 \\
8 & 2009 & 5 & 5 & did not make playoffs \\
9 & 2010 & 5 & 5 & did not make playoffs \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& playoffs \\
\midrule
0 & did not make playoffs \\
1 & did not make playoffs \\
2 & did not make playoffs \\
\bottomrule
\end{tabular}
| select playoffs where playoffs = 'did not make playoffs' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>team record w</th>
<th>team record l</th>
<th>playoffs</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001</td>
<td>7</td>
<td>2</td>
<td>3rd qualifier, region 2</td>
</tr>
<tr>
<th>1</th>
<td>2002</td>
<td>8</td>
<td>1</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>2</th>
<td>2003</td>
<td>8</td>
<td>1</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>3</th>
<td>2004</td>
<td>7</td>
<td>2</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>4</th>
<td>2005</td>
<td>3</td>
<td>5</td>
<td>did not make playoffs</td>
</tr>
<tr>
<th>5</th>
<td>2006</td>
<td>5</td>
<td>4</td>
<td>4th qualifier, region 2</td>
</tr>
<tr>
<th>6</th>
<td>2007</td>
<td>13</td>
<td>1</td>
<td>1st qualifier, region 2</td>
</tr>
<tr>
<th>7</th>
<td>2008</td>
<td>7</td>
<td>4</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>8</th>
<td>2009</td>
<td>5</td>
<td>5</td>
<td>did not make playoffs</td>
</tr>
<tr>
<th>9</th>
<td>2010</td>
<td>5</td>
<td>5</td>
<td>did not make playoffs</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>playoffs</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>did not make playoffs</td>
</tr>
<tr>
<th>1</th>
<td>did not make playoffs</td>
</tr>
<tr>
<th>2</th>
<td>did not make playoffs</td>
</tr>
</tbody>
</table> | select playoffs where playoffs = 'did not make playoffs' <table_name> : table | | year | team record w | team record l | playoffs |
|---:|-------:|----------------:|----------------:|:------------------------|
| 0 | 2001 | 7 | 2 | 3rd qualifier, region 2 |
| 1 | 2002 | 8 | 1 | 2nd qualifier, region 2 |
| 2 | 2003 | 8 | 1 | 2nd qualifier, region 2 |
| 3 | 2004 | 7 | 2 | 2nd qualifier, region 2 |
| 4 | 2005 | 3 | 5 | did not make playoffs |
| 5 | 2006 | 5 | 4 | 4th qualifier, region 2 |
| 6 | 2007 | 13 | 1 | 1st qualifier, region 2 |
| 7 | 2008 | 7 | 4 | 2nd qualifier, region 2 |
| 8 | 2009 | 5 | 5 | did not make playoffs |
| 9 | 2010 | 5 | 5 | did not make playoffs | | | | playoffs |
|---:|:----------------------|
| 0 | did not make playoffs |
| 1 | did not make playoffs |
| 2 | did not make playoffs | | [
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select team where t = 0 and team = 'portugal' col : team | p | w | t | l | gf | ga | gd | pts. row 1 : sweden | 5 | 5 | 0 | 0 | 114 | 91 | 23 | 10 row 2 : denmark | 5 | 3 | 1 | 1 | 107 | 99 | 8 | 7 row 3 : spain | 5 | 3 | 0 | 2 | 114 | 101 | 13 | 6 row 4 : hungary | 5 | 2 | 0 | 3 | 100 | 107 | -7 | 4 row 5 : slovenia | 5 | 1 | 1 | 3 | 94 | 111 | -17 | 3 row 6 : portugal | 5 | 0 | 0 | 5 | 96 | 116 | -20 | 0 | col : team row 1 : portugal | select team where t = 0 and team = 'portugal' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& team & p & w & t & l & gf & ga & gd & pts. \\
\midrule
0 & sweden & 5 & 5 & 0 & 0 & 114 & 91 & 23 & 10 \\
1 & denmark & 5 & 3 & 1 & 1 & 107 & 99 & 8 & 7 \\
2 & spain & 5 & 3 & 0 & 2 & 114 & 101 & 13 & 6 \\
3 & hungary & 5 & 2 & 0 & 3 & 100 & 107 & -7 & 4 \\
4 & slovenia & 5 & 1 & 1 & 3 & 94 & 111 & -17 & 3 \\
5 & portugal & 5 & 0 & 0 & 5 & 96 & 116 & -20 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& team \\
\midrule
0 & portugal \\
\bottomrule
\end{tabular}
| select team where t = 0 and team = 'portugal' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
<th>p</th>
<th>w</th>
<th>t</th>
<th>l</th>
<th>gf</th>
<th>ga</th>
<th>gd</th>
<th>pts.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>sweden</td>
<td>5</td>
<td>5</td>
<td>0</td>
<td>0</td>
<td>114</td>
<td>91</td>
<td>23</td>
<td>10</td>
</tr>
<tr>
<th>1</th>
<td>denmark</td>
<td>5</td>
<td>3</td>
<td>1</td>
<td>1</td>
<td>107</td>
<td>99</td>
<td>8</td>
<td>7</td>
</tr>
<tr>
<th>2</th>
<td>spain</td>
<td>5</td>
<td>3</td>
<td>0</td>
<td>2</td>
<td>114</td>
<td>101</td>
<td>13</td>
<td>6</td>
</tr>
<tr>
<th>3</th>
<td>hungary</td>
<td>5</td>
<td>2</td>
<td>0</td>
<td>3</td>
<td>100</td>
<td>107</td>
<td>-7</td>
<td>4</td>
</tr>
<tr>
<th>4</th>
<td>slovenia</td>
<td>5</td>
<td>1</td>
<td>1</td>
<td>3</td>
<td>94</td>
<td>111</td>
<td>-17</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>portugal</td>
<td>5</td>
<td>0</td>
<td>0</td>
<td>5</td>
<td>96</td>
<td>116</td>
<td>-20</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>portugal</td>
</tr>
</tbody>
</table> | select team where t = 0 and team = 'portugal' <table_name> : table | | team | p | w | t | l | gf | ga | gd | pts. |
|---:|:---------|----:|----:|----:|----:|-----:|-----:|-----:|-------:|
| 0 | sweden | 5 | 5 | 0 | 0 | 114 | 91 | 23 | 10 |
| 1 | denmark | 5 | 3 | 1 | 1 | 107 | 99 | 8 | 7 |
| 2 | spain | 5 | 3 | 0 | 2 | 114 | 101 | 13 | 6 |
| 3 | hungary | 5 | 2 | 0 | 3 | 100 | 107 | -7 | 4 |
| 4 | slovenia | 5 | 1 | 1 | 3 | 94 | 111 | -17 | 3 |
| 5 | portugal | 5 | 0 | 0 | 5 | 96 | 116 | -20 | 0 | | | | team |
|---:|:---------|
| 0 | portugal | | [
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select count ( * ) where image = 'the national archives, kew, richmond, uk' and dimensions != 'defence academy of the united kingdom, shrivenham, oxfordshire' col : year | title | image | dimensions | collection | comments row 1 : 1942 | assassination of heydrich (c. 1942; originally may have been untitled), oil on canvas on board | view | 61.4 × 76.1 cm. (24.2 × 30 in.) | the national archives, kew, richmond, uk | subject: ss-general reinhard heydrich (1904-1942; operation anthropoid). artwork created for ministry of information during second world war. inf 3/24 row 2 : 1944 | production of tanks (original may have been untitled), oil on canvas | view | 51.3 × 61.5 cm. (20.2 × 24.2 in.) | the national archives, kew, richmond, uk | scene: workers manufacture churchill tanks on a factory production line. artwork created for ministry of information during second world war. inf 3/17 row 3 : 1968 | express engines at tyseley, oil on canvas | view view | 75 × 100 cm. (29.5 × 39.4 in.) | none | scene: rolling stock-london, midland and scottish railway no.5593/45593 jubilee kolhapur and great western railway no.7029 clun castle- at tyseley locomotive works, birmingham, west midlands row 4 : 1972 | field marshall viscount montgomery of alamein, oil on canvas | view | 125 × 100 cm. (49.2 × 39.4 in.) | defence academy of the united kingdom, shrivenham, oxfordshire | subject: field marshal bernard law montgomery (1887-1976), 1st viscount montgomery of alamein, gcb, dso. artwork commissioned by the army staff college, 1971 row 5 : 1971 | sir edward heath | view | 123 × 99 cm. (48.4 × 39 in.) | balliol college, university of oxford, oxford | subject: sir edward heath (1916-2005), kg, organ scholar (1935-1939), honorary fellow (1969), prime minister (1970-1974) row 6 : 1972 | self portrait | none | none | none | none row 7 : none | her majesty the queen with her dogs at frogmore | see cuneo society website | none | none | subject: queen elizabeth ii (b. 1926) row 8 : none | bentley vs the blue train | view see cuneo society website | none | none | scene: 1930 cannes to calais maritime race | col : count ( "*" ) row 1 : 0 | select count ( * ) where image = 'the national archives, kew, richmond, uk' and dimensions != 'defence academy of the united kingdom, shrivenham, oxfordshire' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & title & image & dimensions & collection & comments \\
\midrule
0 & 1942 & assassination of heydrich (c. 1942; originally may have been untitled), oil on canvas on board & view & 61.4 × 76.1 cm. (24.2 × 30 in.) & the national archives, kew, richmond, uk & subject: ss-general reinhard heydrich (1904-1942; operation anthropoid). artwork created for ministry of information during second world war. inf 3/24 \\
1 & 1944 & production of tanks (original may have been untitled), oil on canvas & view & 51.3 × 61.5 cm. (20.2 × 24.2 in.) & the national archives, kew, richmond, uk & scene: workers manufacture churchill tanks on a factory production line. artwork created for ministry of information during second world war. inf 3/17 \\
2 & 1968 & express engines at tyseley, oil on canvas & view view & 75 × 100 cm. (29.5 × 39.4 in.) & none & scene: rolling stock-london, midland and scottish railway no.5593/45593 jubilee kolhapur and great western railway no.7029 clun castle- at tyseley locomotive works, birmingham, west midlands \\
3 & 1972 & field marshall viscount montgomery of alamein, oil on canvas & view & 125 × 100 cm. (49.2 × 39.4 in.) & defence academy of the united kingdom, shrivenham, oxfordshire & subject: field marshal bernard law montgomery (1887-1976), 1st viscount montgomery of alamein, gcb, dso. artwork commissioned by the army staff college, 1971 \\
4 & 1971 & sir edward heath & view & 123 × 99 cm. (48.4 × 39 in.) & balliol college, university of oxford, oxford & subject: sir edward heath (1916-2005), kg, organ scholar (1935-1939), honorary fellow (1969), prime minister (1970-1974) \\
5 & 1972 & self portrait & none & none & none & none \\
6 & none & her majesty the queen with her dogs at frogmore & see cuneo society website & none & none & subject: queen elizabeth ii (b. 1926) \\
7 & none & bentley vs the blue train & view see cuneo society website & none & none & scene: 1930 cannes to calais maritime race \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where image = 'the national archives, kew, richmond, uk' and dimensions != 'defence academy of the united kingdom, shrivenham, oxfordshire' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>image</th>
<th>dimensions</th>
<th>collection</th>
<th>comments</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1942</td>
<td>assassination of heydrich (c. 1942; originally may have been untitled), oil on canvas on board</td>
<td>view</td>
<td>61.4 × 76.1 cm. (24.2 × 30 in.)</td>
<td>the national archives, kew, richmond, uk</td>
<td>subject: ss-general reinhard heydrich (1904-1942; operation anthropoid). artwork created for ministry of information during second world war. inf 3/24</td>
</tr>
<tr>
<th>1</th>
<td>1944</td>
<td>production of tanks (original may have been untitled), oil on canvas</td>
<td>view</td>
<td>51.3 × 61.5 cm. (20.2 × 24.2 in.)</td>
<td>the national archives, kew, richmond, uk</td>
<td>scene: workers manufacture churchill tanks on a factory production line. artwork created for ministry of information during second world war. inf 3/17</td>
</tr>
<tr>
<th>2</th>
<td>1968</td>
<td>express engines at tyseley, oil on canvas</td>
<td>view view</td>
<td>75 × 100 cm. (29.5 × 39.4 in.)</td>
<td>none</td>
<td>scene: rolling stock-london, midland and scottish railway no.5593/45593 jubilee kolhapur and great western railway no.7029 clun castle- at tyseley locomotive works, birmingham, west midlands</td>
</tr>
<tr>
<th>3</th>
<td>1972</td>
<td>field marshall viscount montgomery of alamein, oil on canvas</td>
<td>view</td>
<td>125 × 100 cm. (49.2 × 39.4 in.)</td>
<td>defence academy of the united kingdom, shrivenham, oxfordshire</td>
<td>subject: field marshal bernard law montgomery (1887-1976), 1st viscount montgomery of alamein, gcb, dso. artwork commissioned by the army staff college, 1971</td>
</tr>
<tr>
<th>4</th>
<td>1971</td>
<td>sir edward heath</td>
<td>view</td>
<td>123 × 99 cm. (48.4 × 39 in.)</td>
<td>balliol college, university of oxford, oxford</td>
<td>subject: sir edward heath (1916-2005), kg, organ scholar (1935-1939), honorary fellow (1969), prime minister (1970-1974)</td>
</tr>
<tr>
<th>5</th>
<td>1972</td>
<td>self portrait</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>none</td>
<td>her majesty the queen with her dogs at frogmore</td>
<td>see cuneo society website</td>
<td>none</td>
<td>none</td>
<td>subject: queen elizabeth ii (b. 1926)</td>
</tr>
<tr>
<th>7</th>
<td>none</td>
<td>bentley vs the blue train</td>
<td>view see cuneo society website</td>
<td>none</td>
<td>none</td>
<td>scene: 1930 cannes to calais maritime race</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 image = 'the national archives, kew, richmond, uk' and dimensions != 'defence academy of the united kingdom, shrivenham, oxfordshire' <table_name> : table | | year | title | image | dimensions | collection | comments |
|---:|:-------|:-----------------------------------------------------------------------------------------------|:-------------------------------|:----------------------------------|:---------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 1942 | assassination of heydrich (c. 1942; originally may have been untitled), oil on canvas on board | view | 61.4 × 76.1 cm. (24.2 × 30 in.) | the national archives, kew, richmond, uk | subject: ss-general reinhard heydrich (1904-1942; operation anthropoid). artwork created for ministry of information during second world war. inf 3/24 |
| 1 | 1944 | production of tanks (original may have been untitled), oil on canvas | view | 51.3 × 61.5 cm. (20.2 × 24.2 in.) | the national archives, kew, richmond, uk | scene: workers manufacture churchill tanks on a factory production line. artwork created for ministry of information during second world war. inf 3/17 |
| 2 | 1968 | express engines at tyseley, oil on canvas | view view | 75 × 100 cm. (29.5 × 39.4 in.) | none | scene: rolling stock-london, midland and scottish railway no.5593/45593 jubilee kolhapur and great western railway no.7029 clun castle- at tyseley locomotive works, birmingham, west midlands |
| 3 | 1972 | field marshall viscount montgomery of alamein, oil on canvas | view | 125 × 100 cm. (49.2 × 39.4 in.) | defence academy of the united kingdom, shrivenham, oxfordshire | subject: field marshal bernard law montgomery (1887-1976), 1st viscount montgomery of alamein, gcb, dso. artwork commissioned by the army staff college, 1971 |
| 4 | 1971 | sir edward heath | view | 123 × 99 cm. (48.4 × 39 in.) | balliol college, university of oxford, oxford | subject: sir edward heath (1916-2005), kg, organ scholar (1935-1939), honorary fellow (1969), prime minister (1970-1974) |
| 5 | 1972 | self portrait | none | none | none | none |
| 6 | none | her majesty the queen with her dogs at frogmore | see cuneo society website | none | none | subject: queen elizabeth ii (b. 1926) |
| 7 | none | bentley vs the blue train | view see cuneo society website | none | none | scene: 1930 cannes to calais maritime race | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select count ( total elected seats ) where +/- < 1050 col : election | number of popular votes | % of popular votes | total elected seats | +/- row 1 : 1988 | 139982 | 22.16 | 61 / 264 | none row 2 : 1991 | 170757 | 32.11 | 83 / 272 | 22 row 3 : 1994 | 242557 | 35.34 | 121 / 346 | 38 row 4 : 1999 | 271251 | 33.45 | 122 / 390 | 1 row 5 : 2003 | 459640 | 44.67 | 194 / 400 | 72 row 6 : 2007 | 445781 | 39.15 | 127 / 405 | 30 row 7 : 2011 | 464512 | 39.34 | 103 / 412 | 18 | col : count ( "total elected seats" ) row 1 : 1 | select count ( total elected seats ) where +/- < 1050 <table_name> : table \begin{tabular}{llllll}
\toprule
& election & number of popular votes & % of popular votes & total elected seats & +/- \\
\midrule
0 & 1988 & 139982 & 22.16 & 61 / 264 & none \\
1 & 1991 & 170757 & 32.11 & 83 / 272 & 22 \\
2 & 1994 & 242557 & 35.34 & 121 / 346 & 38 \\
3 & 1999 & 271251 & 33.45 & 122 / 390 & 1 \\
4 & 2003 & 459640 & 44.67 & 194 / 400 & 72 \\
5 & 2007 & 445781 & 39.15 & 127 / 405 & 30 \\
6 & 2011 & 464512 & 39.34 & 103 / 412 & 18 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "total elected seats" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( total elected seats ) where +/- < 1050 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>election</th>
<th>number of popular votes</th>
<th>% of popular votes</th>
<th>total elected seats</th>
<th>+/-</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1988</td>
<td>139982</td>
<td>22.16</td>
<td>61 / 264</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1991</td>
<td>170757</td>
<td>32.11</td>
<td>83 / 272</td>
<td>22</td>
</tr>
<tr>
<th>2</th>
<td>1994</td>
<td>242557</td>
<td>35.34</td>
<td>121 / 346</td>
<td>38</td>
</tr>
<tr>
<th>3</th>
<td>1999</td>
<td>271251</td>
<td>33.45</td>
<td>122 / 390</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>2003</td>
<td>459640</td>
<td>44.67</td>
<td>194 / 400</td>
<td>72</td>
</tr>
<tr>
<th>5</th>
<td>2007</td>
<td>445781</td>
<td>39.15</td>
<td>127 / 405</td>
<td>30</td>
</tr>
<tr>
<th>6</th>
<td>2011</td>
<td>464512</td>
<td>39.34</td>
<td>103 / 412</td>
<td>18</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "total elected seats" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( total elected seats ) where +/- < 1050 <table_name> : table | | election | number of popular votes | % of popular votes | total elected seats | +/- |
|---:|-----------:|--------------------------:|---------------------:|:----------------------|:------|
| 0 | 1988 | 139982 | 22.16 | 61 / 264 | none |
| 1 | 1991 | 170757 | 32.11 | 83 / 272 | 22 |
| 2 | 1994 | 242557 | 35.34 | 121 / 346 | 38 |
| 3 | 1999 | 271251 | 33.45 | 122 / 390 | 1 |
| 4 | 2003 | 459640 | 44.67 | 194 / 400 | 72 |
| 5 | 2007 | 445781 | 39.15 | 127 / 405 | 30 |
| 6 | 2011 | 464512 | 39.34 | 103 / 412 | 18 | | | | count ( "total elected seats" ) |
|---:|----------------------------------:|
| 0 | 1 | | [
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select notes where arrival date = '2002-06-14' col : isn | name | arrival date | departure date | notes row 1 : 82 | rasul kudayev | none | 2004-02-27 | repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. also called "abdullah d. kafkas" row 2 : 203 | ravil shafeyavich gumarov | 2002-01-21 | 2004-02-27 | repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. alleged to have played a role in a 2005 bombing. defense intelligence agency classifies him as a former detainee who "returned to terrorism" row 3 : 209 | almasm rabilavich sharipov | 2002-01-21 | 2004-02-27 | repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. granted asylum by the netherlands row 4 : 211 | ruslan anatoloivich odijev | 2002-06-14 | 2004-02-27 | reported to have been repatriated on 24 february 2004, as "ruslan anatolovich odijev", with six other russian men. charged with a role in bombing a gas pipeline in 2005. shot by police in 2007. human rights advocates argue he was falsely accused. defense intelligence agency classifies him as a former detainee who "returned to terrorism" row 5 : 492 | aiat nasimovich vahitov | 2002-06-14 | 2004-02-27 | repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men row 6 : 573 | rustam akhmyarov | 2002-05-01 | 2004-02-27 | reported to have been repatriated on 24 february 2004 with six other russian men row 7 : 672 | zakirjan asam | 2002-06-08 | 2006-11-17 | nlec row 8 : 674 | timur ravilich ishmurat | 2002-06-14 | 2004-02-27 | repatriated to russia. reported to have been repatriated on 24 february 2004, as "timur ravilich ismurat", with six other russian men. alleged to have played a role in a 2005 bombing row 9 : 702 | ravil mingazov | 2002-10-28 | none | none | col : notes row 1 : reported to have been repatriated on 24 february 2004, as "ruslan anatolovich odijev", with six other russian men. charged with a role in bombing a gas pipeline in 2005. shot by police in 2007. human rights advocates argue he was falsely accused. defense intelligence agency classifies him as a former detainee who "returned to terrorism" row 2 : repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men row 3 : repatriated to russia. reported to have been repatriated on 24 february 2004, as "timur ravilich ismurat", with six other russian men. alleged to have played a role in a 2005 bombing | select notes where arrival date = '2002-06-14' <table_name> : table \begin{tabular}{llllll}
\toprule
& isn & name & arrival date & departure date & notes \\
\midrule
0 & 82 & rasul kudayev & none & 2004-02-27 & repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. also called "abdullah d. kafkas" \\
1 & 203 & ravil shafeyavich gumarov & 2002-01-21 & 2004-02-27 & repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. alleged to have played a role in a 2005 bombing. defense intelligence agency classifies him as a former detainee who "returned to terrorism" \\
2 & 209 & almasm rabilavich sharipov & 2002-01-21 & 2004-02-27 & repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. granted asylum by the netherlands \\
3 & 211 & ruslan anatoloivich odijev & 2002-06-14 & 2004-02-27 & reported to have been repatriated on 24 february 2004, as "ruslan anatolovich odijev", with six other russian men. charged with a role in bombing a gas pipeline in 2005. shot by police in 2007. human rights advocates argue he was falsely accused. defense intelligence agency classifies him as a former detainee who "returned to terrorism" \\
4 & 492 & aiat nasimovich vahitov & 2002-06-14 & 2004-02-27 & repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men \\
5 & 573 & rustam akhmyarov & 2002-05-01 & 2004-02-27 & reported to have been repatriated on 24 february 2004 with six other russian men \\
6 & 672 & zakirjan asam & 2002-06-08 & 2006-11-17 & nlec \\
7 & 674 & timur ravilich ishmurat & 2002-06-14 & 2004-02-27 & repatriated to russia. reported to have been repatriated on 24 february 2004, as "timur ravilich ismurat", with six other russian men. alleged to have played a role in a 2005 bombing \\
8 & 702 & ravil mingazov & 2002-10-28 & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& notes \\
\midrule
0 & reported to have been repatriated on 24 february 2004, as "ruslan anatolovich odijev", with six other russian men. charged with a role in bombing a gas pipeline in 2005. shot by police in 2007. human rights advocates argue he was falsely accused. defense intelligence agency classifies him as a former detainee who "returned to terrorism" \\
1 & repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men \\
2 & repatriated to russia. reported to have been repatriated on 24 february 2004, as "timur ravilich ismurat", with six other russian men. alleged to have played a role in a 2005 bombing \\
\bottomrule
\end{tabular}
| select notes where arrival date = '2002-06-14' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>isn</th>
<th>name</th>
<th>arrival date</th>
<th>departure date</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>82</td>
<td>rasul kudayev</td>
<td>none</td>
<td>2004-02-27</td>
<td>repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. also called "abdullah d. kafkas"</td>
</tr>
<tr>
<th>1</th>
<td>203</td>
<td>ravil shafeyavich gumarov</td>
<td>2002-01-21</td>
<td>2004-02-27</td>
<td>repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. alleged to have played a role in a 2005 bombing. defense intelligence agency classifies him as a former detainee who "returned to terrorism"</td>
</tr>
<tr>
<th>2</th>
<td>209</td>
<td>almasm rabilavich sharipov</td>
<td>2002-01-21</td>
<td>2004-02-27</td>
<td>repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. granted asylum by the netherlands</td>
</tr>
<tr>
<th>3</th>
<td>211</td>
<td>ruslan anatoloivich odijev</td>
<td>2002-06-14</td>
<td>2004-02-27</td>
<td>reported to have been repatriated on 24 february 2004, as "ruslan anatolovich odijev", with six other russian men. charged with a role in bombing a gas pipeline in 2005. shot by police in 2007. human rights advocates argue he was falsely accused. defense intelligence agency classifies him as a former detainee who "returned to terrorism"</td>
</tr>
<tr>
<th>4</th>
<td>492</td>
<td>aiat nasimovich vahitov</td>
<td>2002-06-14</td>
<td>2004-02-27</td>
<td>repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men</td>
</tr>
<tr>
<th>5</th>
<td>573</td>
<td>rustam akhmyarov</td>
<td>2002-05-01</td>
<td>2004-02-27</td>
<td>reported to have been repatriated on 24 february 2004 with six other russian men</td>
</tr>
<tr>
<th>6</th>
<td>672</td>
<td>zakirjan asam</td>
<td>2002-06-08</td>
<td>2006-11-17</td>
<td>nlec</td>
</tr>
<tr>
<th>7</th>
<td>674</td>
<td>timur ravilich ishmurat</td>
<td>2002-06-14</td>
<td>2004-02-27</td>
<td>repatriated to russia. reported to have been repatriated on 24 february 2004, as "timur ravilich ismurat", with six other russian men. alleged to have played a role in a 2005 bombing</td>
</tr>
<tr>
<th>8</th>
<td>702</td>
<td>ravil mingazov</td>
<td>2002-10-28</td>
<td>none</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>reported to have been repatriated on 24 february 2004, as "ruslan anatolovich odijev", with six other russian men. charged with a role in bombing a gas pipeline in 2005. shot by police in 2007. human rights advocates argue he was falsely accused. defense intelligence agency classifies him as a former detainee who "returned to terrorism"</td>
</tr>
<tr>
<th>1</th>
<td>repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men</td>
</tr>
<tr>
<th>2</th>
<td>repatriated to russia. reported to have been repatriated on 24 february 2004, as "timur ravilich ismurat", with six other russian men. alleged to have played a role in a 2005 bombing</td>
</tr>
</tbody>
</table> | select notes where arrival date = '2002-06-14' <table_name> : table | | isn | name | arrival date | departure date | notes |
|---:|------:|:---------------------------|:---------------|:-----------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 82 | rasul kudayev | none | 2004-02-27 | repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. also called "abdullah d. kafkas" |
| 1 | 203 | ravil shafeyavich gumarov | 2002-01-21 | 2004-02-27 | repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. alleged to have played a role in a 2005 bombing. defense intelligence agency classifies him as a former detainee who "returned to terrorism" |
| 2 | 209 | almasm rabilavich sharipov | 2002-01-21 | 2004-02-27 | repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men. granted asylum by the netherlands |
| 3 | 211 | ruslan anatoloivich odijev | 2002-06-14 | 2004-02-27 | reported to have been repatriated on 24 february 2004, as "ruslan anatolovich odijev", with six other russian men. charged with a role in bombing a gas pipeline in 2005. shot by police in 2007. human rights advocates argue he was falsely accused. defense intelligence agency classifies him as a former detainee who "returned to terrorism" |
| 4 | 492 | aiat nasimovich vahitov | 2002-06-14 | 2004-02-27 | repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men |
| 5 | 573 | rustam akhmyarov | 2002-05-01 | 2004-02-27 | reported to have been repatriated on 24 february 2004 with six other russian men |
| 6 | 672 | zakirjan asam | 2002-06-08 | 2006-11-17 | nlec |
| 7 | 674 | timur ravilich ishmurat | 2002-06-14 | 2004-02-27 | repatriated to russia. reported to have been repatriated on 24 february 2004, as "timur ravilich ismurat", with six other russian men. alleged to have played a role in a 2005 bombing |
| 8 | 702 | ravil mingazov | 2002-10-28 | none | none | | | | notes |
|---:|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | reported to have been repatriated on 24 february 2004, as "ruslan anatolovich odijev", with six other russian men. charged with a role in bombing a gas pipeline in 2005. shot by police in 2007. human rights advocates argue he was falsely accused. defense intelligence agency classifies him as a former detainee who "returned to terrorism" |
| 1 | repatriated to russia on january 3, 2004. reported to have been repatriated on 24 february 2004 with six other russian men |
| 2 | repatriated to russia. reported to have been repatriated on 24 february 2004, as "timur ravilich ismurat", with six other russian men. alleged to have played a role in a 2005 bombing | | [
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select count ( * ) where class a = 'menard' col : school year | class a | class aa | class aaa | class aaaa | class aaaaa row 1 : 1994-95 | menard | van alstyne | cameron yoe | wichita falls | weslaco row 2 : 1995-96 | era | coahoma | colorado city | livingston | duncanville row 3 : 1996-97 | sulphur bluff | marion | colorado city | snyder | duncanville row 4 : 1997-98 | westbrook | edgewood | perryton | san angelo lake view | flower mound marcus row 5 : 1998-99 | graford | lindsay | hamshire-fannett | brownwood | weslaco row 6 : 1999-2000 | garden city | keene | giddings | friendswood | college station a&m consolidated row 7 : 2000-01 | granger | edgewood | midland greenwood | friendswood | college station a&m consolidated row 8 : 2001-02 | lazbuddie | edgewood | giddings | friendswood | pasadena dobie row 9 : 2002-03 | rocksprings | rosebud-lott | pearsall | harlingen south | san antonio clark row 10 : 2003-04 | lazbuddie | wall | hamshire-fannett | friendswood | klein row 11 : 2004-05 | loop | mount pleasant chapel hill | llano | sherman | college station a&m consolidated row 12 : 2005-06 | wellington | centerville | hamshire-fannett | brownwood | abilene cooper row 13 : 2006-07 | springlake-earth | crawford | princeton | friendswood | college station a&m consolidated row 14 : 2007-08 | springlake-earth | grandview | hamshire-fannett | sherman | mission sharyland row 15 : 2008-09 | garden city | shelbyville | lubbock-cooper | friendswood | humble kingwood | col : count ( "*" ) row 1 : 1 | select count ( * ) where class a = 'menard' <table_name> : table \begin{tabular}{lllllll}
\toprule
& school year & class a & class aa & class aaa & class aaaa & class aaaaa \\
\midrule
0 & 1994-95 & menard & van alstyne & cameron yoe & wichita falls & weslaco \\
1 & 1995-96 & era & coahoma & colorado city & livingston & duncanville \\
2 & 1996-97 & sulphur bluff & marion & colorado city & snyder & duncanville \\
3 & 1997-98 & westbrook & edgewood & perryton & san angelo lake view & flower mound marcus \\
4 & 1998-99 & graford & lindsay & hamshire-fannett & brownwood & weslaco \\
5 & 1999-2000 & garden city & keene & giddings & friendswood & college station a&m consolidated \\
6 & 2000-01 & granger & edgewood & midland greenwood & friendswood & college station a&m consolidated \\
7 & 2001-02 & lazbuddie & edgewood & giddings & friendswood & pasadena dobie \\
8 & 2002-03 & rocksprings & rosebud-lott & pearsall & harlingen south & san antonio clark \\
9 & 2003-04 & lazbuddie & wall & hamshire-fannett & friendswood & klein \\
10 & 2004-05 & loop & mount pleasant chapel hill & llano & sherman & college station a&m consolidated \\
11 & 2005-06 & wellington & centerville & hamshire-fannett & brownwood & abilene cooper \\
12 & 2006-07 & springlake-earth & crawford & princeton & friendswood & college station a&m consolidated \\
13 & 2007-08 & springlake-earth & grandview & hamshire-fannett & sherman & mission sharyland \\
14 & 2008-09 & garden city & shelbyville & lubbock-cooper & friendswood & humble kingwood \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where class a = 'menard' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>school year</th>
<th>class a</th>
<th>class aa</th>
<th>class aaa</th>
<th>class aaaa</th>
<th>class aaaaa</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1994-95</td>
<td>menard</td>
<td>van alstyne</td>
<td>cameron yoe</td>
<td>wichita falls</td>
<td>weslaco</td>
</tr>
<tr>
<th>1</th>
<td>1995-96</td>
<td>era</td>
<td>coahoma</td>
<td>colorado city</td>
<td>livingston</td>
<td>duncanville</td>
</tr>
<tr>
<th>2</th>
<td>1996-97</td>
<td>sulphur bluff</td>
<td>marion</td>
<td>colorado city</td>
<td>snyder</td>
<td>duncanville</td>
</tr>
<tr>
<th>3</th>
<td>1997-98</td>
<td>westbrook</td>
<td>edgewood</td>
<td>perryton</td>
<td>san angelo lake view</td>
<td>flower mound marcus</td>
</tr>
<tr>
<th>4</th>
<td>1998-99</td>
<td>graford</td>
<td>lindsay</td>
<td>hamshire-fannett</td>
<td>brownwood</td>
<td>weslaco</td>
</tr>
<tr>
<th>5</th>
<td>1999-2000</td>
<td>garden city</td>
<td>keene</td>
<td>giddings</td>
<td>friendswood</td>
<td>college station a&m consolidated</td>
</tr>
<tr>
<th>6</th>
<td>2000-01</td>
<td>granger</td>
<td>edgewood</td>
<td>midland greenwood</td>
<td>friendswood</td>
<td>college station a&m consolidated</td>
</tr>
<tr>
<th>7</th>
<td>2001-02</td>
<td>lazbuddie</td>
<td>edgewood</td>
<td>giddings</td>
<td>friendswood</td>
<td>pasadena dobie</td>
</tr>
<tr>
<th>8</th>
<td>2002-03</td>
<td>rocksprings</td>
<td>rosebud-lott</td>
<td>pearsall</td>
<td>harlingen south</td>
<td>san antonio clark</td>
</tr>
<tr>
<th>9</th>
<td>2003-04</td>
<td>lazbuddie</td>
<td>wall</td>
<td>hamshire-fannett</td>
<td>friendswood</td>
<td>klein</td>
</tr>
<tr>
<th>10</th>
<td>2004-05</td>
<td>loop</td>
<td>mount pleasant chapel hill</td>
<td>llano</td>
<td>sherman</td>
<td>college station a&m consolidated</td>
</tr>
<tr>
<th>11</th>
<td>2005-06</td>
<td>wellington</td>
<td>centerville</td>
<td>hamshire-fannett</td>
<td>brownwood</td>
<td>abilene cooper</td>
</tr>
<tr>
<th>12</th>
<td>2006-07</td>
<td>springlake-earth</td>
<td>crawford</td>
<td>princeton</td>
<td>friendswood</td>
<td>college station a&m consolidated</td>
</tr>
<tr>
<th>13</th>
<td>2007-08</td>
<td>springlake-earth</td>
<td>grandview</td>
<td>hamshire-fannett</td>
<td>sherman</td>
<td>mission sharyland</td>
</tr>
<tr>
<th>14</th>
<td>2008-09</td>
<td>garden city</td>
<td>shelbyville</td>
<td>lubbock-cooper</td>
<td>friendswood</td>
<td>humble kingwood</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 class a = 'menard' <table_name> : table | | school year | class a | class aa | class aaa | class aaaa | class aaaaa |
|---:|:--------------|:-----------------|:---------------------------|:------------------|:---------------------|:---------------------------------|
| 0 | 1994-95 | menard | van alstyne | cameron yoe | wichita falls | weslaco |
| 1 | 1995-96 | era | coahoma | colorado city | livingston | duncanville |
| 2 | 1996-97 | sulphur bluff | marion | colorado city | snyder | duncanville |
| 3 | 1997-98 | westbrook | edgewood | perryton | san angelo lake view | flower mound marcus |
| 4 | 1998-99 | graford | lindsay | hamshire-fannett | brownwood | weslaco |
| 5 | 1999-2000 | garden city | keene | giddings | friendswood | college station a&m consolidated |
| 6 | 2000-01 | granger | edgewood | midland greenwood | friendswood | college station a&m consolidated |
| 7 | 2001-02 | lazbuddie | edgewood | giddings | friendswood | pasadena dobie |
| 8 | 2002-03 | rocksprings | rosebud-lott | pearsall | harlingen south | san antonio clark |
| 9 | 2003-04 | lazbuddie | wall | hamshire-fannett | friendswood | klein |
| 10 | 2004-05 | loop | mount pleasant chapel hill | llano | sherman | college station a&m consolidated |
| 11 | 2005-06 | wellington | centerville | hamshire-fannett | brownwood | abilene cooper |
| 12 | 2006-07 | springlake-earth | crawford | princeton | friendswood | college station a&m consolidated |
| 13 | 2007-08 | springlake-earth | grandview | hamshire-fannett | sherman | mission sharyland |
| 14 | 2008-09 | garden city | shelbyville | lubbock-cooper | friendswood | humble kingwood | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select game where location = 'xcel energy center' col : game | date | opponent | location | score | ot | attendance | record row 1 : 1 | 2009-01-09 00:00:00 | @ portland lumberjax | rose garden | w 12-10 | none | 6859 | 1-0 row 2 : 2 | 2009-01-10 00:00:00 | portland lumberjax | pepsi center | l 5-14 | none | 16987 | 1-1 row 3 : 3 | 2009-01-24 00:00:00 | edmonton rush | pepsi center | l 9-11 | none | 16734 | 1-2 row 4 : 4 | 2009-01-31 00:00:00 | new york titans | pepsi center | w 12-8 | none | 15023 | 2-2 row 5 : 5 | 2009-02-07 00:00:00 | @ minnesota swarm | xcel energy center | w 13-8 | none | 11174 | 3-2 row 6 : 6 | 2009-02-14 00:00:00 | calgary roughnecks | pepsi center | w 13-12 | none | 17712 | 4-2 row 7 : 7 | 2009-02-21 00:00:00 | @ san jose stealth | hp pavilion at san jose | l 9-14 | none | 5576 | 4-3 row 8 : 8 | 2009-02-22 00:00:00 | @ edmonton rush | rexall place | l 9-10 | none | 7249 | 4-4 row 9 : 9 | 2009-03-14 00:00:00 | @ san jose stealth | hp pavilion at san jose | w 14-11 | none | 3535 | 5-4 row 10 : 10 | 2009-03-21 00:00:00 | @ calgary roughnecks | pengrowth saddledome | l 10-13 | none | 10958 | 5-5 row 11 : 11 | 2009-03-22 00:00:00 | minnesota swarm | pepsi center | w 13-11 | none | 15594 | 6-5 row 12 : 12 | 2009-03-28 00:00:00 | @ philadelphia wings | wachovia center | l 13-17 | none | 11876 | 6-6 row 13 : 13 | 2009-04-03 00:00:00 | rochester knighthawks | pepsi center | l 8-12 | none | 16834 | 6-7 row 14 : 14 | 2009-04-04 00:00:00 | @ portland lumberjax | rose garden | l 12-13 | ot | 7859 | 6-8 row 15 : 15 | 2009-04-11 00:00:00 | san jose stealth | pepsi center | l 10-11 | ot | 16189 | 6-9 row 16 : 16 | 2009-04-17 00:00:00 | edmonton rush | pepsi center | w 10-9 | none | 16727 | 7-9 | col : game row 1 : 5 | select game where location = 'xcel energy center' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& game & date & opponent & location & score & ot & attendance & record \\
\midrule
0 & 1 & 2009-01-09 00:00:00 & @ portland lumberjax & rose garden & w 12-10 & none & 6859 & 1-0 \\
1 & 2 & 2009-01-10 00:00:00 & portland lumberjax & pepsi center & l 5-14 & none & 16987 & 1-1 \\
2 & 3 & 2009-01-24 00:00:00 & edmonton rush & pepsi center & l 9-11 & none & 16734 & 1-2 \\
3 & 4 & 2009-01-31 00:00:00 & new york titans & pepsi center & w 12-8 & none & 15023 & 2-2 \\
4 & 5 & 2009-02-07 00:00:00 & @ minnesota swarm & xcel energy center & w 13-8 & none & 11174 & 3-2 \\
5 & 6 & 2009-02-14 00:00:00 & calgary roughnecks & pepsi center & w 13-12 & none & 17712 & 4-2 \\
6 & 7 & 2009-02-21 00:00:00 & @ san jose stealth & hp pavilion at san jose & l 9-14 & none & 5576 & 4-3 \\
7 & 8 & 2009-02-22 00:00:00 & @ edmonton rush & rexall place & l 9-10 & none & 7249 & 4-4 \\
8 & 9 & 2009-03-14 00:00:00 & @ san jose stealth & hp pavilion at san jose & w 14-11 & none & 3535 & 5-4 \\
9 & 10 & 2009-03-21 00:00:00 & @ calgary roughnecks & pengrowth saddledome & l 10-13 & none & 10958 & 5-5 \\
10 & 11 & 2009-03-22 00:00:00 & minnesota swarm & pepsi center & w 13-11 & none & 15594 & 6-5 \\
11 & 12 & 2009-03-28 00:00:00 & @ philadelphia wings & wachovia center & l 13-17 & none & 11876 & 6-6 \\
12 & 13 & 2009-04-03 00:00:00 & rochester knighthawks & pepsi center & l 8-12 & none & 16834 & 6-7 \\
13 & 14 & 2009-04-04 00:00:00 & @ portland lumberjax & rose garden & l 12-13 & ot & 7859 & 6-8 \\
14 & 15 & 2009-04-11 00:00:00 & san jose stealth & pepsi center & l 10-11 & ot & 16189 & 6-9 \\
15 & 16 & 2009-04-17 00:00:00 & edmonton rush & pepsi center & w 10-9 & none & 16727 & 7-9 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& game \\
\midrule
0 & 5 \\
\bottomrule
\end{tabular}
| select game where location = 'xcel energy center' <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>2009-01-09 00:00:00</td>
<td>@ portland lumberjax</td>
<td>rose garden</td>
<td>w 12-10</td>
<td>none</td>
<td>6859</td>
<td>1-0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2009-01-10 00:00:00</td>
<td>portland lumberjax</td>
<td>pepsi center</td>
<td>l 5-14</td>
<td>none</td>
<td>16987</td>
<td>1-1</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2009-01-24 00:00:00</td>
<td>edmonton rush</td>
<td>pepsi center</td>
<td>l 9-11</td>
<td>none</td>
<td>16734</td>
<td>1-2</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2009-01-31 00:00:00</td>
<td>new york titans</td>
<td>pepsi center</td>
<td>w 12-8</td>
<td>none</td>
<td>15023</td>
<td>2-2</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2009-02-07 00:00:00</td>
<td>@ minnesota swarm</td>
<td>xcel energy center</td>
<td>w 13-8</td>
<td>none</td>
<td>11174</td>
<td>3-2</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2009-02-14 00:00:00</td>
<td>calgary roughnecks</td>
<td>pepsi center</td>
<td>w 13-12</td>
<td>none</td>
<td>17712</td>
<td>4-2</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2009-02-21 00:00:00</td>
<td>@ san jose stealth</td>
<td>hp pavilion at san jose</td>
<td>l 9-14</td>
<td>none</td>
<td>5576</td>
<td>4-3</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2009-02-22 00:00:00</td>
<td>@ edmonton rush</td>
<td>rexall place</td>
<td>l 9-10</td>
<td>none</td>
<td>7249</td>
<td>4-4</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2009-03-14 00:00:00</td>
<td>@ san jose stealth</td>
<td>hp pavilion at san jose</td>
<td>w 14-11</td>
<td>none</td>
<td>3535</td>
<td>5-4</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2009-03-21 00:00:00</td>
<td>@ calgary roughnecks</td>
<td>pengrowth saddledome</td>
<td>l 10-13</td>
<td>none</td>
<td>10958</td>
<td>5-5</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2009-03-22 00:00:00</td>
<td>minnesota swarm</td>
<td>pepsi center</td>
<td>w 13-11</td>
<td>none</td>
<td>15594</td>
<td>6-5</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>2009-03-28 00:00:00</td>
<td>@ philadelphia wings</td>
<td>wachovia center</td>
<td>l 13-17</td>
<td>none</td>
<td>11876</td>
<td>6-6</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>2009-04-03 00:00:00</td>
<td>rochester knighthawks</td>
<td>pepsi center</td>
<td>l 8-12</td>
<td>none</td>
<td>16834</td>
<td>6-7</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>2009-04-04 00:00:00</td>
<td>@ portland lumberjax</td>
<td>rose garden</td>
<td>l 12-13</td>
<td>ot</td>
<td>7859</td>
<td>6-8</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>2009-04-11 00:00:00</td>
<td>san jose stealth</td>
<td>pepsi center</td>
<td>l 10-11</td>
<td>ot</td>
<td>16189</td>
<td>6-9</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>2009-04-17 00:00:00</td>
<td>edmonton rush</td>
<td>pepsi center</td>
<td>w 10-9</td>
<td>none</td>
<td>16727</td>
<td>7-9</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>game</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>5</td>
</tr>
</tbody>
</table> | select game where location = 'xcel energy center' <table_name> : table | | game | date | opponent | location | score | ot | attendance | record |
|---:|-------:|:--------------------|:----------------------|:------------------------|:--------|:-----|-------------:|:---------|
| 0 | 1 | 2009-01-09 00:00:00 | @ portland lumberjax | rose garden | w 12-10 | none | 6859 | 1-0 |
| 1 | 2 | 2009-01-10 00:00:00 | portland lumberjax | pepsi center | l 5-14 | none | 16987 | 1-1 |
| 2 | 3 | 2009-01-24 00:00:00 | edmonton rush | pepsi center | l 9-11 | none | 16734 | 1-2 |
| 3 | 4 | 2009-01-31 00:00:00 | new york titans | pepsi center | w 12-8 | none | 15023 | 2-2 |
| 4 | 5 | 2009-02-07 00:00:00 | @ minnesota swarm | xcel energy center | w 13-8 | none | 11174 | 3-2 |
| 5 | 6 | 2009-02-14 00:00:00 | calgary roughnecks | pepsi center | w 13-12 | none | 17712 | 4-2 |
| 6 | 7 | 2009-02-21 00:00:00 | @ san jose stealth | hp pavilion at san jose | l 9-14 | none | 5576 | 4-3 |
| 7 | 8 | 2009-02-22 00:00:00 | @ edmonton rush | rexall place | l 9-10 | none | 7249 | 4-4 |
| 8 | 9 | 2009-03-14 00:00:00 | @ san jose stealth | hp pavilion at san jose | w 14-11 | none | 3535 | 5-4 |
| 9 | 10 | 2009-03-21 00:00:00 | @ calgary roughnecks | pengrowth saddledome | l 10-13 | none | 10958 | 5-5 |
| 10 | 11 | 2009-03-22 00:00:00 | minnesota swarm | pepsi center | w 13-11 | none | 15594 | 6-5 |
| 11 | 12 | 2009-03-28 00:00:00 | @ philadelphia wings | wachovia center | l 13-17 | none | 11876 | 6-6 |
| 12 | 13 | 2009-04-03 00:00:00 | rochester knighthawks | pepsi center | l 8-12 | none | 16834 | 6-7 |
| 13 | 14 | 2009-04-04 00:00:00 | @ portland lumberjax | rose garden | l 12-13 | ot | 7859 | 6-8 |
| 14 | 15 | 2009-04-11 00:00:00 | san jose stealth | pepsi center | l 10-11 | ot | 16189 | 6-9 |
| 15 | 16 | 2009-04-17 00:00:00 | edmonton rush | pepsi center | w 10-9 | none | 16727 | 7-9 | | | | game |
|---:|-------:|
| 0 | 5 | | [
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] |
select count ( * ) where brazil scorers = 'zico, serginho chulapa, junior' col : date | opposition | result | score | brazil scorers | competition row 1 : 1982-01-26 00:00:00 | east germany | w | 3-1 | paulo isidoro, renato, serginho chulapa | international friendly row 2 : 1982-03-03 00:00:00 | czechoslovakia | d | 1-1 | zico | international friendly row 3 : 1982-03-21 00:00:00 | west germany | w | 1-0 | junior | international friendly row 4 : 1982-05-05 00:00:00 | portugal | w | 3-1 | junior, eder, zico | international friendly row 5 : 1982-05-19 00:00:00 | switzerland | d | 1-1 | zico | international friendly row 6 : 1982-05-27 00:00:00 | republic of ireland | w | 7-0 | falcao, socrates (2), serginho chulapa (2), luizinho, zico | international friendly row 7 : 1982-06-14 00:00:00 | soviet union | w | 2-1 | socrates, eder | world cup row 8 : 1982-06-18 00:00:00 | scotland | w | 4-1 | zico, oscar, eder, falcao | world cup row 9 : 1982-06-23 00:00:00 | new zealand | w | 4-0 | zico (2), falcao, serginho chulapa | world cup row 10 : 1982-07-02 00:00:00 | argentina | w | 3-1 | zico, serginho chulapa, junior | world cup row 11 : 1982-07-05 00:00:00 | italy | l | 2-3 | socrates, falcao | world cup | col : count ( "*" ) row 1 : 1 | select count ( * ) where brazil scorers = 'zico, serginho chulapa, junior' <table_name> : table \begin{tabular}{lllllll}
\toprule
& date & opposition & result & score & brazil scorers & competition \\
\midrule
0 & 1982-01-26 00:00:00 & east germany & w & 3-1 & paulo isidoro, renato, serginho chulapa & international friendly \\
1 & 1982-03-03 00:00:00 & czechoslovakia & d & 1-1 & zico & international friendly \\
2 & 1982-03-21 00:00:00 & west germany & w & 1-0 & junior & international friendly \\
3 & 1982-05-05 00:00:00 & portugal & w & 3-1 & junior, eder, zico & international friendly \\
4 & 1982-05-19 00:00:00 & switzerland & d & 1-1 & zico & international friendly \\
5 & 1982-05-27 00:00:00 & republic of ireland & w & 7-0 & falcao, socrates (2), serginho chulapa (2), luizinho, zico & international friendly \\
6 & 1982-06-14 00:00:00 & soviet union & w & 2-1 & socrates, eder & world cup \\
7 & 1982-06-18 00:00:00 & scotland & w & 4-1 & zico, oscar, eder, falcao & world cup \\
8 & 1982-06-23 00:00:00 & new zealand & w & 4-0 & zico (2), falcao, serginho chulapa & world cup \\
9 & 1982-07-02 00:00:00 & argentina & w & 3-1 & zico, serginho chulapa, junior & world cup \\
10 & 1982-07-05 00:00:00 & italy & l & 2-3 & socrates, falcao & world cup \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where brazil scorers = 'zico, serginho chulapa, junior' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>opposition</th>
<th>result</th>
<th>score</th>
<th>brazil scorers</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1982-01-26 00:00:00</td>
<td>east germany</td>
<td>w</td>
<td>3-1</td>
<td>paulo isidoro, renato, serginho chulapa</td>
<td>international friendly</td>
</tr>
<tr>
<th>1</th>
<td>1982-03-03 00:00:00</td>
<td>czechoslovakia</td>
<td>d</td>
<td>1-1</td>
<td>zico</td>
<td>international friendly</td>
</tr>
<tr>
<th>2</th>
<td>1982-03-21 00:00:00</td>
<td>west germany</td>
<td>w</td>
<td>1-0</td>
<td>junior</td>
<td>international friendly</td>
</tr>
<tr>
<th>3</th>
<td>1982-05-05 00:00:00</td>
<td>portugal</td>
<td>w</td>
<td>3-1</td>
<td>junior, eder, zico</td>
<td>international friendly</td>
</tr>
<tr>
<th>4</th>
<td>1982-05-19 00:00:00</td>
<td>switzerland</td>
<td>d</td>
<td>1-1</td>
<td>zico</td>
<td>international friendly</td>
</tr>
<tr>
<th>5</th>
<td>1982-05-27 00:00:00</td>
<td>republic of ireland</td>
<td>w</td>
<td>7-0</td>
<td>falcao, socrates (2), serginho chulapa (2), luizinho, zico</td>
<td>international friendly</td>
</tr>
<tr>
<th>6</th>
<td>1982-06-14 00:00:00</td>
<td>soviet union</td>
<td>w</td>
<td>2-1</td>
<td>socrates, eder</td>
<td>world cup</td>
</tr>
<tr>
<th>7</th>
<td>1982-06-18 00:00:00</td>
<td>scotland</td>
<td>w</td>
<td>4-1</td>
<td>zico, oscar, eder, falcao</td>
<td>world cup</td>
</tr>
<tr>
<th>8</th>
<td>1982-06-23 00:00:00</td>
<td>new zealand</td>
<td>w</td>
<td>4-0</td>
<td>zico (2), falcao, serginho chulapa</td>
<td>world cup</td>
</tr>
<tr>
<th>9</th>
<td>1982-07-02 00:00:00</td>
<td>argentina</td>
<td>w</td>
<td>3-1</td>
<td>zico, serginho chulapa, junior</td>
<td>world cup</td>
</tr>
<tr>
<th>10</th>
<td>1982-07-05 00:00:00</td>
<td>italy</td>
<td>l</td>
<td>2-3</td>
<td>socrates, falcao</td>
<td>world cup</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 brazil scorers = 'zico, serginho chulapa, junior' <table_name> : table | | date | opposition | result | score | brazil scorers | competition |
|---:|:--------------------|:--------------------|:---------|:--------|:-----------------------------------------------------------|:-----------------------|
| 0 | 1982-01-26 00:00:00 | east germany | w | 3-1 | paulo isidoro, renato, serginho chulapa | international friendly |
| 1 | 1982-03-03 00:00:00 | czechoslovakia | d | 1-1 | zico | international friendly |
| 2 | 1982-03-21 00:00:00 | west germany | w | 1-0 | junior | international friendly |
| 3 | 1982-05-05 00:00:00 | portugal | w | 3-1 | junior, eder, zico | international friendly |
| 4 | 1982-05-19 00:00:00 | switzerland | d | 1-1 | zico | international friendly |
| 5 | 1982-05-27 00:00:00 | republic of ireland | w | 7-0 | falcao, socrates (2), serginho chulapa (2), luizinho, zico | international friendly |
| 6 | 1982-06-14 00:00:00 | soviet union | w | 2-1 | socrates, eder | world cup |
| 7 | 1982-06-18 00:00:00 | scotland | w | 4-1 | zico, oscar, eder, falcao | world cup |
| 8 | 1982-06-23 00:00:00 | new zealand | w | 4-0 | zico (2), falcao, serginho chulapa | world cup |
| 9 | 1982-07-02 00:00:00 | argentina | w | 3-1 | zico, serginho chulapa, junior | world cup |
| 10 | 1982-07-05 00:00:00 | italy | l | 2-3 | socrates, falcao | world cup | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select title where year = 2013 col : title | year | peak chart positions us | peak chart positions us r&b | peak chart positions us rap | album row 1 : "say yes" | 2001 | | | | none row 2 : "do you know" | 2002 | | | | none row 3 : "favorite things" | 2004 | | | | none row 4 : "pain in my life" (featuring trey songz) | 2006 | | | | none row 5 : "c'mon baby" (featuring swizz beatz) | 2007 | | | | none row 6 : "gotta believe it" (featuring just blaze) | 2009 | | | | warning shots 2 row 7 : "bring me down" | 2010 | | | | none row 8 : "the greatest story never told" | 2011 | | | | the greatest story never told row 9 : "clap" (featuring faith evans) | 2011 | | | | the greatest story never told row 10 : "not like them" (featuring styles p) | 2012 | | | | the greatest story never told chapter 2: bread and circuses row 11 : "best thing that i found" (featuring lecrae and corbett) | 2012 | | | | the greatest story never told chapter 2: bread and circuses row 12 : "best mistake" (featuring g. martin) | 2013 | | | | the greatest story never told chapter 3: the troubled times of brian carenard | col : title row 1 : "best mistake" (featuring g. martin) | select title where year = 2013 <table_name> : table \begin{tabular}{lllllll}
\toprule
& title & year & peak chart positions us & peak chart positions us r&b & peak chart positions us rap & album \\
\midrule
0 & "say yes" & 2001 & & & & none \\
1 & "do you know" & 2002 & & & & none \\
2 & "favorite things" & 2004 & & & & none \\
3 & "pain in my life" (featuring trey songz) & 2006 & & & & none \\
4 & "c'mon baby" (featuring swizz beatz) & 2007 & & & & none \\
5 & "gotta believe it" (featuring just blaze) & 2009 & & & & warning shots 2 \\
6 & "bring me down" & 2010 & & & & none \\
7 & "the greatest story never told" & 2011 & & & & the greatest story never told \\
8 & "clap" (featuring faith evans) & 2011 & & & & the greatest story never told \\
9 & "not like them" (featuring styles p) & 2012 & & & & the greatest story never told chapter 2: bread and circuses \\
10 & "best thing that i found" (featuring lecrae and corbett) & 2012 & & & & the greatest story never told chapter 2: bread and circuses \\
11 & "best mistake" (featuring g. martin) & 2013 & & & & the greatest story never told chapter 3: the troubled times of brian carenard \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& title \\
\midrule
0 & "best mistake" (featuring g. martin) \\
\bottomrule
\end{tabular}
| select title where year = 2013 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>title</th>
<th>year</th>
<th>peak chart positions us</th>
<th>peak chart positions us r&b</th>
<th>peak chart positions us rap</th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>"say yes"</td>
<td>2001</td>
<td></td>
<td></td>
<td></td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>"do you know"</td>
<td>2002</td>
<td></td>
<td></td>
<td></td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>"favorite things"</td>
<td>2004</td>
<td></td>
<td></td>
<td></td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>"pain in my life" (featuring trey songz)</td>
<td>2006</td>
<td></td>
<td></td>
<td></td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>"c'mon baby" (featuring swizz beatz)</td>
<td>2007</td>
<td></td>
<td></td>
<td></td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>"gotta believe it" (featuring just blaze)</td>
<td>2009</td>
<td></td>
<td></td>
<td></td>
<td>warning shots 2</td>
</tr>
<tr>
<th>6</th>
<td>"bring me down"</td>
<td>2010</td>
<td></td>
<td></td>
<td></td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>"the greatest story never told"</td>
<td>2011</td>
<td></td>
<td></td>
<td></td>
<td>the greatest story never told</td>
</tr>
<tr>
<th>8</th>
<td>"clap" (featuring faith evans)</td>
<td>2011</td>
<td></td>
<td></td>
<td></td>
<td>the greatest story never told</td>
</tr>
<tr>
<th>9</th>
<td>"not like them" (featuring styles p)</td>
<td>2012</td>
<td></td>
<td></td>
<td></td>
<td>the greatest story never told chapter 2: bread and circuses</td>
</tr>
<tr>
<th>10</th>
<td>"best thing that i found" (featuring lecrae and corbett)</td>
<td>2012</td>
<td></td>
<td></td>
<td></td>
<td>the greatest story never told chapter 2: bread and circuses</td>
</tr>
<tr>
<th>11</th>
<td>"best mistake" (featuring g. martin)</td>
<td>2013</td>
<td></td>
<td></td>
<td></td>
<td>the greatest story never told chapter 3: the troubled times of brian carenard</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>"best mistake" (featuring g. martin)</td>
</tr>
</tbody>
</table> | select title where year = 2013 <table_name> : table | | title | year | peak chart positions us | peak chart positions us r&b | peak chart positions us rap | album |
|---:|:---------------------------------------------------------|-------:|:--------------------------|:------------------------------|:------------------------------|:------------------------------------------------------------------------------|
| 0 | "say yes" | 2001 | | | | none |
| 1 | "do you know" | 2002 | | | | none |
| 2 | "favorite things" | 2004 | | | | none |
| 3 | "pain in my life" (featuring trey songz) | 2006 | | | | none |
| 4 | "c'mon baby" (featuring swizz beatz) | 2007 | | | | none |
| 5 | "gotta believe it" (featuring just blaze) | 2009 | | | | warning shots 2 |
| 6 | "bring me down" | 2010 | | | | none |
| 7 | "the greatest story never told" | 2011 | | | | the greatest story never told |
| 8 | "clap" (featuring faith evans) | 2011 | | | | the greatest story never told |
| 9 | "not like them" (featuring styles p) | 2012 | | | | the greatest story never told chapter 2: bread and circuses |
| 10 | "best thing that i found" (featuring lecrae and corbett) | 2012 | | | | the greatest story never told chapter 2: bread and circuses |
| 11 | "best mistake" (featuring g. martin) | 2013 | | | | the greatest story never told chapter 3: the troubled times of brian carenard | | | | title |
|---:|:-------------------------------------|
| 0 | "best mistake" (featuring g. martin) | | [
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select first tops where first tops = 148 col : first tops | second tops row 1 : 102 | 101 row 2 : 142 | 108 row 3 : 146 | 109 row 4 : 150 | 122 row 5 : 163 | 110 row 6 : 167 | 108 row 7 : 171 | 101 row 8 : 175 | 116 row 9 : 179 | 120 row 10 : 183 | 123 row 11 : 187 | 126 row 12 : 201/1 | 201 row 13 : 202/2 | 207 row 14 : 211/2 | 207 row 15 : 221/2 | 202 row 16 : 223/1 | 201 row 17 : 225 | 203 row 18 : 106 | 105 row 19 : 143 | 100 row 20 : 147 | 111 row 21 : 160 | 104 row 22 : 164 | 101 row 23 : 168 | 101 & 111 row 24 : 172 | 116 row 25 : 176 | 117 row 26 : 180 | 124 row 27 : 184 | 123 row 28 : 188 | 126 row 29 : 201/2 | 202 row 30 : 202/3 | 205 row 31 : 211/3 | 205 row 32 : 221/3 | 203 row 33 : 223/2 | 202 row 34 : 261 | 251 row 35 : 140 | 104 row 36 : 144 | 101 row 37 : 148 | 114 row 38 : 161 | 107 & 108 row 39 : 165 | 111 row 40 : 169 | 104 row 41 : 173 | 115 row 42 : 177 | 115 row 43 : 181 | 124 row 44 : 185 | 125 row 45 : 189 | 126 row 46 : 201/3 | 203 row 47 : 203 | 204 row 48 : 212 | 204 row 49 : 222/1 | 206 row 50 : 223/3 | 203 row 51 : 141 | 105 row 52 : 145 | 103 row 53 : 149 | 121 row 54 : 162 | 101 row 55 : 166 | 104 row 56 : 170 | 105 row 57 : 174 | 118 row 58 : 178 | 119 row 59 : 182 | 123 row 60 : 186 | 127 row 61 : 190 | 130 row 62 : 202/1 | 206 row 63 : 211/1 | 206 row 64 : 221/1 | 201 row 65 : 222/2 | 205 row 66 : 224 | 207 | col : first tops row 1 : 148 | select first tops where first tops = 148 <table_name> : table \begin{tabular}{lll}
\toprule
& first tops & second tops \\
\midrule
0 & 102 & 101 \\
1 & 142 & 108 \\
2 & 146 & 109 \\
3 & 150 & 122 \\
4 & 163 & 110 \\
5 & 167 & 108 \\
6 & 171 & 101 \\
7 & 175 & 116 \\
8 & 179 & 120 \\
9 & 183 & 123 \\
10 & 187 & 126 \\
11 & 201/1 & 201 \\
12 & 202/2 & 207 \\
13 & 211/2 & 207 \\
14 & 221/2 & 202 \\
15 & 223/1 & 201 \\
16 & 225 & 203 \\
17 & 106 & 105 \\
18 & 143 & 100 \\
19 & 147 & 111 \\
20 & 160 & 104 \\
21 & 164 & 101 \\
22 & 168 & 101 & 111 \\
23 & 172 & 116 \\
24 & 176 & 117 \\
25 & 180 & 124 \\
26 & 184 & 123 \\
27 & 188 & 126 \\
28 & 201/2 & 202 \\
29 & 202/3 & 205 \\
30 & 211/3 & 205 \\
31 & 221/3 & 203 \\
32 & 223/2 & 202 \\
33 & 261 & 251 \\
34 & 140 & 104 \\
35 & 144 & 101 \\
36 & 148 & 114 \\
37 & 161 & 107 & 108 \\
38 & 165 & 111 \\
39 & 169 & 104 \\
40 & 173 & 115 \\
41 & 177 & 115 \\
42 & 181 & 124 \\
43 & 185 & 125 \\
44 & 189 & 126 \\
45 & 201/3 & 203 \\
46 & 203 & 204 \\
47 & 212 & 204 \\
48 & 222/1 & 206 \\
49 & 223/3 & 203 \\
50 & 141 & 105 \\
51 & 145 & 103 \\
52 & 149 & 121 \\
53 & 162 & 101 \\
54 & 166 & 104 \\
55 & 170 & 105 \\
56 & 174 & 118 \\
57 & 178 & 119 \\
58 & 182 & 123 \\
59 & 186 & 127 \\
60 & 190 & 130 \\
61 & 202/1 & 206 \\
62 & 211/1 & 206 \\
63 & 221/1 & 201 \\
64 & 222/2 & 205 \\
65 & 224 & 207 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& first tops \\
\midrule
0 & 148 \\
\bottomrule
\end{tabular}
| select first tops where first tops = 148 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>first tops</th>
<th>second tops</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>102</td>
<td>101</td>
</tr>
<tr>
<th>1</th>
<td>142</td>
<td>108</td>
</tr>
<tr>
<th>2</th>
<td>146</td>
<td>109</td>
</tr>
<tr>
<th>3</th>
<td>150</td>
<td>122</td>
</tr>
<tr>
<th>4</th>
<td>163</td>
<td>110</td>
</tr>
<tr>
<th>5</th>
<td>167</td>
<td>108</td>
</tr>
<tr>
<th>6</th>
<td>171</td>
<td>101</td>
</tr>
<tr>
<th>7</th>
<td>175</td>
<td>116</td>
</tr>
<tr>
<th>8</th>
<td>179</td>
<td>120</td>
</tr>
<tr>
<th>9</th>
<td>183</td>
<td>123</td>
</tr>
<tr>
<th>10</th>
<td>187</td>
<td>126</td>
</tr>
<tr>
<th>11</th>
<td>201/1</td>
<td>201</td>
</tr>
<tr>
<th>12</th>
<td>202/2</td>
<td>207</td>
</tr>
<tr>
<th>13</th>
<td>211/2</td>
<td>207</td>
</tr>
<tr>
<th>14</th>
<td>221/2</td>
<td>202</td>
</tr>
<tr>
<th>15</th>
<td>223/1</td>
<td>201</td>
</tr>
<tr>
<th>16</th>
<td>225</td>
<td>203</td>
</tr>
<tr>
<th>17</th>
<td>106</td>
<td>105</td>
</tr>
<tr>
<th>18</th>
<td>143</td>
<td>100</td>
</tr>
<tr>
<th>19</th>
<td>147</td>
<td>111</td>
</tr>
<tr>
<th>20</th>
<td>160</td>
<td>104</td>
</tr>
<tr>
<th>21</th>
<td>164</td>
<td>101</td>
</tr>
<tr>
<th>22</th>
<td>168</td>
<td>101 & 111</td>
</tr>
<tr>
<th>23</th>
<td>172</td>
<td>116</td>
</tr>
<tr>
<th>24</th>
<td>176</td>
<td>117</td>
</tr>
<tr>
<th>25</th>
<td>180</td>
<td>124</td>
</tr>
<tr>
<th>26</th>
<td>184</td>
<td>123</td>
</tr>
<tr>
<th>27</th>
<td>188</td>
<td>126</td>
</tr>
<tr>
<th>28</th>
<td>201/2</td>
<td>202</td>
</tr>
<tr>
<th>29</th>
<td>202/3</td>
<td>205</td>
</tr>
<tr>
<th>30</th>
<td>211/3</td>
<td>205</td>
</tr>
<tr>
<th>31</th>
<td>221/3</td>
<td>203</td>
</tr>
<tr>
<th>32</th>
<td>223/2</td>
<td>202</td>
</tr>
<tr>
<th>33</th>
<td>261</td>
<td>251</td>
</tr>
<tr>
<th>34</th>
<td>140</td>
<td>104</td>
</tr>
<tr>
<th>35</th>
<td>144</td>
<td>101</td>
</tr>
<tr>
<th>36</th>
<td>148</td>
<td>114</td>
</tr>
<tr>
<th>37</th>
<td>161</td>
<td>107 & 108</td>
</tr>
<tr>
<th>38</th>
<td>165</td>
<td>111</td>
</tr>
<tr>
<th>39</th>
<td>169</td>
<td>104</td>
</tr>
<tr>
<th>40</th>
<td>173</td>
<td>115</td>
</tr>
<tr>
<th>41</th>
<td>177</td>
<td>115</td>
</tr>
<tr>
<th>42</th>
<td>181</td>
<td>124</td>
</tr>
<tr>
<th>43</th>
<td>185</td>
<td>125</td>
</tr>
<tr>
<th>44</th>
<td>189</td>
<td>126</td>
</tr>
<tr>
<th>45</th>
<td>201/3</td>
<td>203</td>
</tr>
<tr>
<th>46</th>
<td>203</td>
<td>204</td>
</tr>
<tr>
<th>47</th>
<td>212</td>
<td>204</td>
</tr>
<tr>
<th>48</th>
<td>222/1</td>
<td>206</td>
</tr>
<tr>
<th>49</th>
<td>223/3</td>
<td>203</td>
</tr>
<tr>
<th>50</th>
<td>141</td>
<td>105</td>
</tr>
<tr>
<th>51</th>
<td>145</td>
<td>103</td>
</tr>
<tr>
<th>52</th>
<td>149</td>
<td>121</td>
</tr>
<tr>
<th>53</th>
<td>162</td>
<td>101</td>
</tr>
<tr>
<th>54</th>
<td>166</td>
<td>104</td>
</tr>
<tr>
<th>55</th>
<td>170</td>
<td>105</td>
</tr>
<tr>
<th>56</th>
<td>174</td>
<td>118</td>
</tr>
<tr>
<th>57</th>
<td>178</td>
<td>119</td>
</tr>
<tr>
<th>58</th>
<td>182</td>
<td>123</td>
</tr>
<tr>
<th>59</th>
<td>186</td>
<td>127</td>
</tr>
<tr>
<th>60</th>
<td>190</td>
<td>130</td>
</tr>
<tr>
<th>61</th>
<td>202/1</td>
<td>206</td>
</tr>
<tr>
<th>62</th>
<td>211/1</td>
<td>206</td>
</tr>
<tr>
<th>63</th>
<td>221/1</td>
<td>201</td>
</tr>
<tr>
<th>64</th>
<td>222/2</td>
<td>205</td>
</tr>
<tr>
<th>65</th>
<td>224</td>
<td>207</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>first tops</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>148</td>
</tr>
</tbody>
</table> | select first tops where first tops = 148 <table_name> : table | | first tops | second tops |
|---:|:-------------|:--------------|
| 0 | 102 | 101 |
| 1 | 142 | 108 |
| 2 | 146 | 109 |
| 3 | 150 | 122 |
| 4 | 163 | 110 |
| 5 | 167 | 108 |
| 6 | 171 | 101 |
| 7 | 175 | 116 |
| 8 | 179 | 120 |
| 9 | 183 | 123 |
| 10 | 187 | 126 |
| 11 | 201/1 | 201 |
| 12 | 202/2 | 207 |
| 13 | 211/2 | 207 |
| 14 | 221/2 | 202 |
| 15 | 223/1 | 201 |
| 16 | 225 | 203 |
| 17 | 106 | 105 |
| 18 | 143 | 100 |
| 19 | 147 | 111 |
| 20 | 160 | 104 |
| 21 | 164 | 101 |
| 22 | 168 | 101 & 111 |
| 23 | 172 | 116 |
| 24 | 176 | 117 |
| 25 | 180 | 124 |
| 26 | 184 | 123 |
| 27 | 188 | 126 |
| 28 | 201/2 | 202 |
| 29 | 202/3 | 205 |
| 30 | 211/3 | 205 |
| 31 | 221/3 | 203 |
| 32 | 223/2 | 202 |
| 33 | 261 | 251 |
| 34 | 140 | 104 |
| 35 | 144 | 101 |
| 36 | 148 | 114 |
| 37 | 161 | 107 & 108 |
| 38 | 165 | 111 |
| 39 | 169 | 104 |
| 40 | 173 | 115 |
| 41 | 177 | 115 |
| 42 | 181 | 124 |
| 43 | 185 | 125 |
| 44 | 189 | 126 |
| 45 | 201/3 | 203 |
| 46 | 203 | 204 |
| 47 | 212 | 204 |
| 48 | 222/1 | 206 |
| 49 | 223/3 | 203 |
| 50 | 141 | 105 |
| 51 | 145 | 103 |
| 52 | 149 | 121 |
| 53 | 162 | 101 |
| 54 | 166 | 104 |
| 55 | 170 | 105 |
| 56 | 174 | 118 |
| 57 | 178 | 119 |
| 58 | 182 | 123 |
| 59 | 186 | 127 |
| 60 | 190 | 130 |
| 61 | 202/1 | 206 |
| 62 | 211/1 | 206 |
| 63 | 221/1 | 201 |
| 64 | 222/2 | 205 |
| 65 | 224 | 207 | | | | first tops |
|---:|-------------:|
| 0 | 148 | | [
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select count ( * ) where titles = 5 col : place | team | titles | runners-up | winning years row 1 : 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 row 2 : 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 row 3 : 3 | ironi ashkelon | 1 | 0 | 2006 row 4 : 4 | maccabi rishon lezion | 0 | 1 | none row 5 : 4 | ironi nahariya | 0 | 1 | none row 6 : 4 | hapoel holon | 0 | 1 | none row 7 : 4 | maccabi ashdod | 0 | 1 | none | col : count ( "*" ) row 1 : 1 | select count ( * ) where titles = 5 <table_name> : table \begin{tabular}{llllll}
\toprule
& place & team & titles & runners-up & winning years \\
\midrule
0 & 1 & maccabi tel aviv & 5 & 1 & 2007, 2010, 2011, 2012, 2013 \\
1 & 2 & hapoel jerusalem & 2 & 3 & 2008, 2009 \\
2 & 3 & ironi ashkelon & 1 & 0 & 2006 \\
3 & 4 & maccabi rishon lezion & 0 & 1 & none \\
4 & 4 & ironi nahariya & 0 & 1 & none \\
5 & 4 & hapoel holon & 0 & 1 & none \\
6 & 4 & maccabi ashdod & 0 & 1 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where titles = 5 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>place</th>
<th>team</th>
<th>titles</th>
<th>runners-up</th>
<th>winning years</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>maccabi tel aviv</td>
<td>5</td>
<td>1</td>
<td>2007, 2010, 2011, 2012, 2013</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>hapoel jerusalem</td>
<td>2</td>
<td>3</td>
<td>2008, 2009</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>ironi ashkelon</td>
<td>1</td>
<td>0</td>
<td>2006</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>maccabi rishon lezion</td>
<td>0</td>
<td>1</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>ironi nahariya</td>
<td>0</td>
<td>1</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>4</td>
<td>hapoel holon</td>
<td>0</td>
<td>1</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>maccabi ashdod</td>
<td>0</td>
<td>1</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>1</td>
</tr>
</tbody>
</table> | select count ( * ) where titles = 5 <table_name> : table | | place | team | titles | runners-up | winning years |
|---:|--------:|:----------------------|---------:|-------------:|:-----------------------------|
| 0 | 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 |
| 1 | 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 |
| 2 | 3 | ironi ashkelon | 1 | 0 | 2006 |
| 3 | 4 | maccabi rishon lezion | 0 | 1 | none |
| 4 | 4 | ironi nahariya | 0 | 1 | none |
| 5 | 4 | hapoel holon | 0 | 1 | none |
| 6 | 4 | maccabi ashdod | 0 | 1 | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( result ) where award = 'best actress' col : year | award | film | result row 1 : 1976 | best actress | le sauvage | nominated row 2 : 1981 | best actress | le dernier metro | won row 3 : 1982 | best actress | hotel des ameriques | nominated row 4 : 1988 | best actress | agent trouble | nominated row 5 : 1989 | best actress | drole d'endroit pour une rencontre | nominated row 6 : 1993 | best actress | indochine | won row 7 : 1994 | best actress | ma saison preferee | nominated row 8 : 1997 | best actress | les voleurs | nominated row 9 : 1999 | best actress | place vendome | nominated row 10 : 2006 | best supporting actress | palais royal! | nominated row 11 : 2011 | best actress | potiche | nominated row 12 : 2014 | best actress | on my way | pending | col : count ( "result" ) row 1 : 11 | select count ( result ) where award = 'best actress' <table_name> : table \begin{tabular}{lllll}
\toprule
& year & award & film & result \\
\midrule
0 & 1976 & best actress & le sauvage & nominated \\
1 & 1981 & best actress & le dernier metro & won \\
2 & 1982 & best actress & hotel des ameriques & nominated \\
3 & 1988 & best actress & agent trouble & nominated \\
4 & 1989 & best actress & drole d'endroit pour une rencontre & nominated \\
5 & 1993 & best actress & indochine & won \\
6 & 1994 & best actress & ma saison preferee & nominated \\
7 & 1997 & best actress & les voleurs & nominated \\
8 & 1999 & best actress & place vendome & nominated \\
9 & 2006 & best supporting actress & palais royal! & nominated \\
10 & 2011 & best actress & potiche & nominated \\
11 & 2014 & best actress & on my way & pending \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "result" ) \\
\midrule
0 & 11 \\
\bottomrule
\end{tabular}
| select count ( result ) where award = 'best actress' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>award</th>
<th>film</th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1976</td>
<td>best actress</td>
<td>le sauvage</td>
<td>nominated</td>
</tr>
<tr>
<th>1</th>
<td>1981</td>
<td>best actress</td>
<td>le dernier metro</td>
<td>won</td>
</tr>
<tr>
<th>2</th>
<td>1982</td>
<td>best actress</td>
<td>hotel des ameriques</td>
<td>nominated</td>
</tr>
<tr>
<th>3</th>
<td>1988</td>
<td>best actress</td>
<td>agent trouble</td>
<td>nominated</td>
</tr>
<tr>
<th>4</th>
<td>1989</td>
<td>best actress</td>
<td>drole d'endroit pour une rencontre</td>
<td>nominated</td>
</tr>
<tr>
<th>5</th>
<td>1993</td>
<td>best actress</td>
<td>indochine</td>
<td>won</td>
</tr>
<tr>
<th>6</th>
<td>1994</td>
<td>best actress</td>
<td>ma saison preferee</td>
<td>nominated</td>
</tr>
<tr>
<th>7</th>
<td>1997</td>
<td>best actress</td>
<td>les voleurs</td>
<td>nominated</td>
</tr>
<tr>
<th>8</th>
<td>1999</td>
<td>best actress</td>
<td>place vendome</td>
<td>nominated</td>
</tr>
<tr>
<th>9</th>
<td>2006</td>
<td>best supporting actress</td>
<td>palais royal!</td>
<td>nominated</td>
</tr>
<tr>
<th>10</th>
<td>2011</td>
<td>best actress</td>
<td>potiche</td>
<td>nominated</td>
</tr>
<tr>
<th>11</th>
<td>2014</td>
<td>best actress</td>
<td>on my way</td>
<td>pending</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "result" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>11</td>
</tr>
</tbody>
</table> | select count ( result ) where award = 'best actress' <table_name> : table | | year | award | film | result |
|---:|-------:|:------------------------|:-----------------------------------|:----------|
| 0 | 1976 | best actress | le sauvage | nominated |
| 1 | 1981 | best actress | le dernier metro | won |
| 2 | 1982 | best actress | hotel des ameriques | nominated |
| 3 | 1988 | best actress | agent trouble | nominated |
| 4 | 1989 | best actress | drole d'endroit pour une rencontre | nominated |
| 5 | 1993 | best actress | indochine | won |
| 6 | 1994 | best actress | ma saison preferee | nominated |
| 7 | 1997 | best actress | les voleurs | nominated |
| 8 | 1999 | best actress | place vendome | nominated |
| 9 | 2006 | best supporting actress | palais royal! | nominated |
| 10 | 2011 | best actress | potiche | nominated |
| 11 | 2014 | best actress | on my way | pending | | | | count ( "result" ) |
|---:|---------------------:|
| 0 | 11 | | [
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select nation where silver = 1 col : rank | nation | gold | silver | bronze | total row 1 : 1 | china | 10 | 5 | 1 | 16 row 2 : 2 | north korea | 3 | 3 | 4 | 10 row 3 : 3 | japan | 1 | 3 | 3 | 7 row 4 : 4 | chinese taipei | 1 | 1 | 1 | 3 row 5 : 5 | hong kong | 0 | 1 | 0 | 1 row 6 : 6 | south korea | 0 | 0 | 3 | 3 row 7 : 7 | india | 0 | 0 | 1 | 1 row 8 : 7 | kazakhstan | 0 | 0 | 1 | 1 row 9 : 7 | syria | 0 | 0 | 1 | 1 row 10 : total | total | 15 | 13 | 15 | 43 | col : nation row 1 : chinese taipei row 2 : hong kong | select nation where silver = 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & china & 10 & 5 & 1 & 16 \\
1 & 2 & north korea & 3 & 3 & 4 & 10 \\
2 & 3 & japan & 1 & 3 & 3 & 7 \\
3 & 4 & chinese taipei & 1 & 1 & 1 & 3 \\
4 & 5 & hong kong & 0 & 1 & 0 & 1 \\
5 & 6 & south korea & 0 & 0 & 3 & 3 \\
6 & 7 & india & 0 & 0 & 1 & 1 \\
7 & 7 & kazakhstan & 0 & 0 & 1 & 1 \\
8 & 7 & syria & 0 & 0 & 1 & 1 \\
9 & total & total & 15 & 13 & 15 & 43 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nation \\
\midrule
0 & chinese taipei \\
1 & hong kong \\
\bottomrule
\end{tabular}
| select nation where silver = 1 <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>10</td>
<td>5</td>
<td>1</td>
<td>16</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>north korea</td>
<td>3</td>
<td>3</td>
<td>4</td>
<td>10</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>japan</td>
<td>1</td>
<td>3</td>
<td>3</td>
<td>7</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>chinese taipei</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>hong kong</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>south korea</td>
<td>0</td>
<td>0</td>
<td>3</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>india</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>kazakhstan</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>7</td>
<td>syria</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>total</td>
<td>total</td>
<td>15</td>
<td>13</td>
<td>15</td>
<td>43</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>chinese taipei</td>
</tr>
<tr>
<th>1</th>
<td>hong kong</td>
</tr>
</tbody>
</table> | select nation where silver = 1 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:---------------|-------:|---------:|---------:|--------:|
| 0 | 1 | china | 10 | 5 | 1 | 16 |
| 1 | 2 | north korea | 3 | 3 | 4 | 10 |
| 2 | 3 | japan | 1 | 3 | 3 | 7 |
| 3 | 4 | chinese taipei | 1 | 1 | 1 | 3 |
| 4 | 5 | hong kong | 0 | 1 | 0 | 1 |
| 5 | 6 | south korea | 0 | 0 | 3 | 3 |
| 6 | 7 | india | 0 | 0 | 1 | 1 |
| 7 | 7 | kazakhstan | 0 | 0 | 1 | 1 |
| 8 | 7 | syria | 0 | 0 | 1 | 1 |
| 9 | total | total | 15 | 13 | 15 | 43 | | | | nation |
|---:|:---------------|
| 0 | chinese taipei |
| 1 | hong kong | | [
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] |
select coach where coach = 'jim newsome' order by years limit 11 col : coach | years | seasons | wins | losses | ties | pct row 1 : o. b. "rip" sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 row 2 : ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 row 3 : mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 row 4 : chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 row 5 : fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 row 6 : john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 row 7 : jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 row 8 : bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 row 9 : george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 row 10 : fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 row 11 : george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 row 12 : thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 row 13 : harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 row 14 : "barney" legge | 1911 | 1 | 2 | 5 | 1 | 0.286 row 15 : h. l. "matty" matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 row 16 : dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 row 17 : "shorty" o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 row 18 : "bull dog" drummond | 1925 | 1 | 2 | 7 | 0 | 0.222 | col : coach row 1 : jim newsome | select coach where coach = 'jim newsome' order by years limit 11 <table_name> : table \begin{tabular}{llllllll}
\toprule
& coach & years & seasons & wins & losses & ties & pct \\
\midrule
0 & o. b. "rip" sanderson & 1908 & 1 & 5 & 1 & 0 & 0.833 \\
1 & ed sabre & 1920 & 1 & 3 & 1 & 0 & 0.75 \\
2 & mack erwin & 1957-60 & 4 & 62 & 30 & 1 & 0.672 \\
3 & chal port & 1965-91 & 27 & 641 & 386 & 2 & 0.624 \\
4 & fred jordan & 1992-pres & 22 & 726 & 552 & 0 & 0.568 \\
5 & john d. mcmillan & 1952-53 & 2 & 14 & 15 & 0 & 0.483 \\
6 & jim newsome & 1961-64 & 4 & 37 & 43 & 0 & 0.463 \\
7 & bunzy o'neal & 1948 & 1 & 6 & 7 & 0 & 0.462 \\
8 & george c. rogers & 1914-15, 1921-24 & 6 & 26 & 33 & 1 & 0.441 \\
9 & fred montsdeoca & 1954-56 & 2 & 22 & 31 & 0 & 0.415 \\
10 & george a. schmick & 1910 & 1 & 4 & 6 & 0 & 0.4 \\
11 & thomas s. mcmillan & 1916, 1919 & 2 & 8 & 12 & 0 & 0.4 \\
12 & harold manley & 1954 & 1 & 5 & 9 & 0 & 0.357 \\
13 & "barney" legge & 1911 & 1 & 2 & 5 & 1 & 0.286 \\
14 & h. l. "matty" matthews & 1926-30, 37-38 & 3 & 10 & 25 & 1 & 0.286 \\
15 & dusty rhodes & 1947 & 1 & 2 & 5 & 0 & 0.286 \\
16 & "shorty" o'brien & 1918 & 1 & 3 & 9 & 0 & 0.25 \\
17 & "bull dog" drummond & 1925 & 1 & 2 & 7 & 0 & 0.222 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& coach \\
\midrule
0 & jim newsome \\
\bottomrule
\end{tabular}
| select coach where coach = 'jim newsome' order by years limit 11 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>coach</th>
<th>years</th>
<th>seasons</th>
<th>wins</th>
<th>losses</th>
<th>ties</th>
<th>pct</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>o. b. "rip" sanderson</td>
<td>1908</td>
<td>1</td>
<td>5</td>
<td>1</td>
<td>0</td>
<td>0.833</td>
</tr>
<tr>
<th>1</th>
<td>ed sabre</td>
<td>1920</td>
<td>1</td>
<td>3</td>
<td>1</td>
<td>0</td>
<td>0.75</td>
</tr>
<tr>
<th>2</th>
<td>mack erwin</td>
<td>1957-60</td>
<td>4</td>
<td>62</td>
<td>30</td>
<td>1</td>
<td>0.672</td>
</tr>
<tr>
<th>3</th>
<td>chal port</td>
<td>1965-91</td>
<td>27</td>
<td>641</td>
<td>386</td>
<td>2</td>
<td>0.624</td>
</tr>
<tr>
<th>4</th>
<td>fred jordan</td>
<td>1992-pres</td>
<td>22</td>
<td>726</td>
<td>552</td>
<td>0</td>
<td>0.568</td>
</tr>
<tr>
<th>5</th>
<td>john d. mcmillan</td>
<td>1952-53</td>
<td>2</td>
<td>14</td>
<td>15</td>
<td>0</td>
<td>0.483</td>
</tr>
<tr>
<th>6</th>
<td>jim newsome</td>
<td>1961-64</td>
<td>4</td>
<td>37</td>
<td>43</td>
<td>0</td>
<td>0.463</td>
</tr>
<tr>
<th>7</th>
<td>bunzy o'neal</td>
<td>1948</td>
<td>1</td>
<td>6</td>
<td>7</td>
<td>0</td>
<td>0.462</td>
</tr>
<tr>
<th>8</th>
<td>george c. rogers</td>
<td>1914-15, 1921-24</td>
<td>6</td>
<td>26</td>
<td>33</td>
<td>1</td>
<td>0.441</td>
</tr>
<tr>
<th>9</th>
<td>fred montsdeoca</td>
<td>1954-56</td>
<td>2</td>
<td>22</td>
<td>31</td>
<td>0</td>
<td>0.415</td>
</tr>
<tr>
<th>10</th>
<td>george a. schmick</td>
<td>1910</td>
<td>1</td>
<td>4</td>
<td>6</td>
<td>0</td>
<td>0.4</td>
</tr>
<tr>
<th>11</th>
<td>thomas s. mcmillan</td>
<td>1916, 1919</td>
<td>2</td>
<td>8</td>
<td>12</td>
<td>0</td>
<td>0.4</td>
</tr>
<tr>
<th>12</th>
<td>harold manley</td>
<td>1954</td>
<td>1</td>
<td>5</td>
<td>9</td>
<td>0</td>
<td>0.357</td>
</tr>
<tr>
<th>13</th>
<td>"barney" legge</td>
<td>1911</td>
<td>1</td>
<td>2</td>
<td>5</td>
<td>1</td>
<td>0.286</td>
</tr>
<tr>
<th>14</th>
<td>h. l. "matty" matthews</td>
<td>1926-30, 37-38</td>
<td>3</td>
<td>10</td>
<td>25</td>
<td>1</td>
<td>0.286</td>
</tr>
<tr>
<th>15</th>
<td>dusty rhodes</td>
<td>1947</td>
<td>1</td>
<td>2</td>
<td>5</td>
<td>0</td>
<td>0.286</td>
</tr>
<tr>
<th>16</th>
<td>"shorty" o'brien</td>
<td>1918</td>
<td>1</td>
<td>3</td>
<td>9</td>
<td>0</td>
<td>0.25</td>
</tr>
<tr>
<th>17</th>
<td>"bull dog" drummond</td>
<td>1925</td>
<td>1</td>
<td>2</td>
<td>7</td>
<td>0</td>
<td>0.222</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>coach</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>jim newsome</td>
</tr>
</tbody>
</table> | select coach where coach = 'jim newsome' order by years limit 11 <table_name> : table | | coach | years | seasons | wins | losses | ties | pct |
|---:|:-----------------------|:-----------------|----------:|-------:|---------:|-------:|------:|
| 0 | o. b. "rip" sanderson | 1908 | 1 | 5 | 1 | 0 | 0.833 |
| 1 | ed sabre | 1920 | 1 | 3 | 1 | 0 | 0.75 |
| 2 | mack erwin | 1957-60 | 4 | 62 | 30 | 1 | 0.672 |
| 3 | chal port | 1965-91 | 27 | 641 | 386 | 2 | 0.624 |
| 4 | fred jordan | 1992-pres | 22 | 726 | 552 | 0 | 0.568 |
| 5 | john d. mcmillan | 1952-53 | 2 | 14 | 15 | 0 | 0.483 |
| 6 | jim newsome | 1961-64 | 4 | 37 | 43 | 0 | 0.463 |
| 7 | bunzy o'neal | 1948 | 1 | 6 | 7 | 0 | 0.462 |
| 8 | george c. rogers | 1914-15, 1921-24 | 6 | 26 | 33 | 1 | 0.441 |
| 9 | fred montsdeoca | 1954-56 | 2 | 22 | 31 | 0 | 0.415 |
| 10 | george a. schmick | 1910 | 1 | 4 | 6 | 0 | 0.4 |
| 11 | thomas s. mcmillan | 1916, 1919 | 2 | 8 | 12 | 0 | 0.4 |
| 12 | harold manley | 1954 | 1 | 5 | 9 | 0 | 0.357 |
| 13 | "barney" legge | 1911 | 1 | 2 | 5 | 1 | 0.286 |
| 14 | h. l. "matty" matthews | 1926-30, 37-38 | 3 | 10 | 25 | 1 | 0.286 |
| 15 | dusty rhodes | 1947 | 1 | 2 | 5 | 0 | 0.286 |
| 16 | "shorty" o'brien | 1918 | 1 | 3 | 9 | 0 | 0.25 |
| 17 | "bull dog" drummond | 1925 | 1 | 2 | 7 | 0 | 0.222 | | | | coach |
|---:|:------------|
| 0 | jim newsome | | [
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select count ( * ) where album details = 'released: september 5, 2001 label: avex trax formats: cd' col : title | album details | peak positions jpn | sales row 1 : the remixes | released: september 17, 1997 label: avex trax formats: cd | 2 | 640,000 row 2 : the remixes ii | released: november 18, 1998 label: avex trax formats: cd | 5 | 300,000 row 3 : super eurobeat presents euro every little thing | released: september 5, 2001 label: avex trax formats: cd | 3 | 200,000 row 4 : the remixes iii: mix rice plantation | released: february 27, 2002 label: avex trax formats: cd | 19 | 35,000 row 5 : cyber trance presents elt trance | released: february 27, 2002 label: avex trax formats: cd | 16 | 60,000 | col : count ( "*" ) row 1 : 1 | select count ( * ) where album details = 'released: september 5, 2001 label: avex trax formats: cd' <table_name> : table \begin{tabular}{lllll}
\toprule
& title & album details & peak positions jpn & sales \\
\midrule
0 & the remixes & released: september 17, 1997 label: avex trax formats: cd & 2 & 640,000 \\
1 & the remixes ii & released: november 18, 1998 label: avex trax formats: cd & 5 & 300,000 \\
2 & super eurobeat presents euro every little thing & released: september 5, 2001 label: avex trax formats: cd & 3 & 200,000 \\
3 & the remixes iii: mix rice plantation & released: february 27, 2002 label: avex trax formats: cd & 19 & 35,000 \\
4 & cyber trance presents elt trance & released: february 27, 2002 label: avex trax formats: cd & 16 & 60,000 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where album details = 'released: september 5, 2001 label: avex trax formats: cd' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>title</th>
<th>album details</th>
<th>peak positions jpn</th>
<th>sales</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>the remixes</td>
<td>released: september 17, 1997 label: avex trax formats: cd</td>
<td>2</td>
<td>640,000</td>
</tr>
<tr>
<th>1</th>
<td>the remixes ii</td>
<td>released: november 18, 1998 label: avex trax formats: cd</td>
<td>5</td>
<td>300,000</td>
</tr>
<tr>
<th>2</th>
<td>super eurobeat presents euro every little thing</td>
<td>released: september 5, 2001 label: avex trax formats: cd</td>
<td>3</td>
<td>200,000</td>
</tr>
<tr>
<th>3</th>
<td>the remixes iii: mix rice plantation</td>
<td>released: february 27, 2002 label: avex trax formats: cd</td>
<td>19</td>
<td>35,000</td>
</tr>
<tr>
<th>4</th>
<td>cyber trance presents elt trance</td>
<td>released: february 27, 2002 label: avex trax formats: cd</td>
<td>16</td>
<td>60,000</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 album details = 'released: september 5, 2001 label: avex trax formats: cd' <table_name> : table | | title | album details | peak positions jpn | sales |
|---:|:------------------------------------------------|:----------------------------------------------------------|---------------------:|:--------|
| 0 | the remixes | released: september 17, 1997 label: avex trax formats: cd | 2 | 640,000 |
| 1 | the remixes ii | released: november 18, 1998 label: avex trax formats: cd | 5 | 300,000 |
| 2 | super eurobeat presents euro every little thing | released: september 5, 2001 label: avex trax formats: cd | 3 | 200,000 |
| 3 | the remixes iii: mix rice plantation | released: february 27, 2002 label: avex trax formats: cd | 19 | 35,000 |
| 4 | cyber trance presents elt trance | released: february 27, 2002 label: avex trax formats: cd | 16 | 60,000 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select ( select count ( team ) where relegations = 3 ) - ( select count ( team ) where relegations = 0 ) col : seasons | team | ch.wins | promotions | relegations row 1 : 10 | basket rimini crabs | 0 | 0 | 0 row 2 : 10 | aurora basket jesi | 0 | 1 | 1 row 3 : 10 | andrea costa imola | 0 | 0 | 3 row 4 : 9 | nuova pallacanestro pavia | 0 | 0 | 0 row 5 : 9 | scafati basket | 1 | 1 | 0 row 6 : 8 | basket club ferrara | 1 | 1 | 0 row 7 : 8 | pallac. reggiana reggio emilia | 2 | 2 | 0 row 8 : 7 | novara | 0 | 0 | 3 row 9 : 7 | dinamo basket sassari | 0 | 1 | 0 row 10 : 6 | a.s. junior pallacanestro casale | 1 | 1 | 1 row 11 : 5 | rb montecatini terme | 0 | 0 | 1 row 12 : 5 | fabriano basket | 0 | 0 | 1 row 13 : 5 | societa veroli basket | 0 | 0 | 0 row 14 : 5 | pistoia basket 2000 | 0 | 0 | 0 row 15 : 4 | juve caserta basket | 0 | 1 | 0 row 16 : 3 | gruppo triboldi basket soresina | 0 | 1 | 0 row 17 : 3 | nuova sebastiani rieti | 1 | 1 | 0 row 18 : 3 | progresso castelmaggiore | 0 | 0 | 0 row 19 : 3 | orlandina basket | 1 | 1 | 1 row 20 : 3 | sutor basket montegranaro | 0 | 1 | 1 row 21 : 3 | virtus ragusa | 0 | 0 | 1 row 22 : 3 | robur basket osimo | 0 | 0 | 1 row 23 : 3 | reyer venezia | 0 | 1 | 0 row 24 : 3 | new basket brindisi | 1 | 2 | 0 row 25 : 2 | pallacanestro messina | 0 | 1 | 0 row 26 : 2 | basket trapani | 0 | 0 | 1 row 27 : 2 | basket draghi castelletto ticino | 0 | 0 | 0 row 28 : 2 | basket livorno | 0 | 0 | 0 row 29 : 2 | pallalcesto amatori udine | 0 | 0 | 0 row 30 : 2 | unione cestistica casalpusterlengo | 0 | 0 | 0 row 31 : 2 | basket barcellona | 0 | 0 | 0 row 32 : 2 | fulgor libertas forli | 0 | 0 | 1 row 33 : 2 | scaligera basket verona | 0 | 0 | 1 row 34 : 1 | societa sportiva basket napoli | 1 | 1 | 0 row 35 : 1 | centro sportivo borgomanero | 0 | 0 | 0 row 36 : 1 | celana basket bergamo | 0 | 0 | 1 row 37 : 1 | teramo basket | 1 | 1 | 0 row 38 : 1 | virtus pallacanestro bologna | 0 | 1 | 0 row 39 : 1 | viola reggio calabria | 0 | 0 | 0 row 40 : 1 | victoria libertas pesaro | 0 | 1 | 0 row 41 : 1 | pallacanestro varese | 1 | 1 | 0 row 42 : 1 | pallacanestro roseto | 0 | 0 | 1 row 43 : 1 | nuova pallacanestro vigevano | 0 | 0 | 0 row 44 : 1 | cestistica san severo | 0 | 0 | 1 row 45 : 1 | basket brescia leonessa | 0 | 0 | 0 row 46 : 1 | unione cestistica piacentina piacenza | 0 | 0 | 0 row 47 : 1 | pallacanestro sant'antimo | 0 | 0 | 0 row 48 : 1 | ostuni basket | 0 | 0 | 0 row 49 : 1 | biancoblu basket bologna | 0 | 0 | 0 | col : count ( "select count ( team" ) row 1 : 0 | select ( select count ( team ) where relegations = 3 ) - ( select count ( team ) where relegations = 0 ) <table_name> : table \begin{tabular}{llllll}
\toprule
& seasons & team & ch.wins & promotions & relegations \\
\midrule
0 & 10 & basket rimini crabs & 0 & 0 & 0 \\
1 & 10 & aurora basket jesi & 0 & 1 & 1 \\
2 & 10 & andrea costa imola & 0 & 0 & 3 \\
3 & 9 & nuova pallacanestro pavia & 0 & 0 & 0 \\
4 & 9 & scafati basket & 1 & 1 & 0 \\
5 & 8 & basket club ferrara & 1 & 1 & 0 \\
6 & 8 & pallac. reggiana reggio emilia & 2 & 2 & 0 \\
7 & 7 & novara & 0 & 0 & 3 \\
8 & 7 & dinamo basket sassari & 0 & 1 & 0 \\
9 & 6 & a.s. junior pallacanestro casale & 1 & 1 & 1 \\
10 & 5 & rb montecatini terme & 0 & 0 & 1 \\
11 & 5 & fabriano basket & 0 & 0 & 1 \\
12 & 5 & societa veroli basket & 0 & 0 & 0 \\
13 & 5 & pistoia basket 2000 & 0 & 0 & 0 \\
14 & 4 & juve caserta basket & 0 & 1 & 0 \\
15 & 3 & gruppo triboldi basket soresina & 0 & 1 & 0 \\
16 & 3 & nuova sebastiani rieti & 1 & 1 & 0 \\
17 & 3 & progresso castelmaggiore & 0 & 0 & 0 \\
18 & 3 & orlandina basket & 1 & 1 & 1 \\
19 & 3 & sutor basket montegranaro & 0 & 1 & 1 \\
20 & 3 & virtus ragusa & 0 & 0 & 1 \\
21 & 3 & robur basket osimo & 0 & 0 & 1 \\
22 & 3 & reyer venezia & 0 & 1 & 0 \\
23 & 3 & new basket brindisi & 1 & 2 & 0 \\
24 & 2 & pallacanestro messina & 0 & 1 & 0 \\
25 & 2 & basket trapani & 0 & 0 & 1 \\
26 & 2 & basket draghi castelletto ticino & 0 & 0 & 0 \\
27 & 2 & basket livorno & 0 & 0 & 0 \\
28 & 2 & pallalcesto amatori udine & 0 & 0 & 0 \\
29 & 2 & unione cestistica casalpusterlengo & 0 & 0 & 0 \\
30 & 2 & basket barcellona & 0 & 0 & 0 \\
31 & 2 & fulgor libertas forli & 0 & 0 & 1 \\
32 & 2 & scaligera basket verona & 0 & 0 & 1 \\
33 & 1 & societa sportiva basket napoli & 1 & 1 & 0 \\
34 & 1 & centro sportivo borgomanero & 0 & 0 & 0 \\
35 & 1 & celana basket bergamo & 0 & 0 & 1 \\
36 & 1 & teramo basket & 1 & 1 & 0 \\
37 & 1 & virtus pallacanestro bologna & 0 & 1 & 0 \\
38 & 1 & viola reggio calabria & 0 & 0 & 0 \\
39 & 1 & victoria libertas pesaro & 0 & 1 & 0 \\
40 & 1 & pallacanestro varese & 1 & 1 & 0 \\
41 & 1 & pallacanestro roseto & 0 & 0 & 1 \\
42 & 1 & nuova pallacanestro vigevano & 0 & 0 & 0 \\
43 & 1 & cestistica san severo & 0 & 0 & 1 \\
44 & 1 & basket brescia leonessa & 0 & 0 & 0 \\
45 & 1 & unione cestistica piacentina piacenza & 0 & 0 & 0 \\
46 & 1 & pallacanestro sant'antimo & 0 & 0 & 0 \\
47 & 1 & ostuni basket & 0 & 0 & 0 \\
48 & 1 & biancoblu basket bologna & 0 & 0 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "select count ( team" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select ( select count ( team ) where relegations = 3 ) - ( select count ( team ) where relegations = 0 ) <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>seasons</th>
<th>team</th>
<th>ch.wins</th>
<th>promotions</th>
<th>relegations</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10</td>
<td>basket rimini crabs</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>10</td>
<td>aurora basket jesi</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>10</td>
<td>andrea costa imola</td>
<td>0</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>3</th>
<td>9</td>
<td>nuova pallacanestro pavia</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>9</td>
<td>scafati basket</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>8</td>
<td>basket club ferrara</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>8</td>
<td>pallac. reggiana reggio emilia</td>
<td>2</td>
<td>2</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>novara</td>
<td>0</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>8</th>
<td>7</td>
<td>dinamo basket sassari</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>6</td>
<td>a.s. junior pallacanestro casale</td>
<td>1</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>10</th>
<td>5</td>
<td>rb montecatini terme</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>5</td>
<td>fabriano basket</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>5</td>
<td>societa veroli basket</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>5</td>
<td>pistoia basket 2000</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>4</td>
<td>juve caserta basket</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>3</td>
<td>gruppo triboldi basket soresina</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>3</td>
<td>nuova sebastiani rieti</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>17</th>
<td>3</td>
<td>progresso castelmaggiore</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>18</th>
<td>3</td>
<td>orlandina basket</td>
<td>1</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>19</th>
<td>3</td>
<td>sutor basket montegranaro</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>3</td>
<td>virtus ragusa</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>21</th>
<td>3</td>
<td>robur basket osimo</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>22</th>
<td>3</td>
<td>reyer venezia</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>23</th>
<td>3</td>
<td>new basket brindisi</td>
<td>1</td>
<td>2</td>
<td>0</td>
</tr>
<tr>
<th>24</th>
<td>2</td>
<td>pallacanestro messina</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>25</th>
<td>2</td>
<td>basket trapani</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>26</th>
<td>2</td>
<td>basket draghi castelletto ticino</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>27</th>
<td>2</td>
<td>basket livorno</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>28</th>
<td>2</td>
<td>pallalcesto amatori udine</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>29</th>
<td>2</td>
<td>unione cestistica casalpusterlengo</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>30</th>
<td>2</td>
<td>basket barcellona</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>31</th>
<td>2</td>
<td>fulgor libertas forli</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>32</th>
<td>2</td>
<td>scaligera basket verona</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>33</th>
<td>1</td>
<td>societa sportiva basket napoli</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>34</th>
<td>1</td>
<td>centro sportivo borgomanero</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>35</th>
<td>1</td>
<td>celana basket bergamo</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>36</th>
<td>1</td>
<td>teramo basket</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>37</th>
<td>1</td>
<td>virtus pallacanestro bologna</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>38</th>
<td>1</td>
<td>viola reggio calabria</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>39</th>
<td>1</td>
<td>victoria libertas pesaro</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>40</th>
<td>1</td>
<td>pallacanestro varese</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>41</th>
<td>1</td>
<td>pallacanestro roseto</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>42</th>
<td>1</td>
<td>nuova pallacanestro vigevano</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>43</th>
<td>1</td>
<td>cestistica san severo</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>44</th>
<td>1</td>
<td>basket brescia leonessa</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>45</th>
<td>1</td>
<td>unione cestistica piacentina piacenza</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>46</th>
<td>1</td>
<td>pallacanestro sant'antimo</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>47</th>
<td>1</td>
<td>ostuni basket</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>48</th>
<td>1</td>
<td>biancoblu basket bologna</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 ( "select count ( team" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select ( select count ( team ) where relegations = 3 ) - ( select count ( team ) where relegations = 0 ) <table_name> : table | | seasons | team | ch.wins | promotions | relegations |
|---:|----------:|:--------------------------------------|----------:|-------------:|--------------:|
| 0 | 10 | basket rimini crabs | 0 | 0 | 0 |
| 1 | 10 | aurora basket jesi | 0 | 1 | 1 |
| 2 | 10 | andrea costa imola | 0 | 0 | 3 |
| 3 | 9 | nuova pallacanestro pavia | 0 | 0 | 0 |
| 4 | 9 | scafati basket | 1 | 1 | 0 |
| 5 | 8 | basket club ferrara | 1 | 1 | 0 |
| 6 | 8 | pallac. reggiana reggio emilia | 2 | 2 | 0 |
| 7 | 7 | novara | 0 | 0 | 3 |
| 8 | 7 | dinamo basket sassari | 0 | 1 | 0 |
| 9 | 6 | a.s. junior pallacanestro casale | 1 | 1 | 1 |
| 10 | 5 | rb montecatini terme | 0 | 0 | 1 |
| 11 | 5 | fabriano basket | 0 | 0 | 1 |
| 12 | 5 | societa veroli basket | 0 | 0 | 0 |
| 13 | 5 | pistoia basket 2000 | 0 | 0 | 0 |
| 14 | 4 | juve caserta basket | 0 | 1 | 0 |
| 15 | 3 | gruppo triboldi basket soresina | 0 | 1 | 0 |
| 16 | 3 | nuova sebastiani rieti | 1 | 1 | 0 |
| 17 | 3 | progresso castelmaggiore | 0 | 0 | 0 |
| 18 | 3 | orlandina basket | 1 | 1 | 1 |
| 19 | 3 | sutor basket montegranaro | 0 | 1 | 1 |
| 20 | 3 | virtus ragusa | 0 | 0 | 1 |
| 21 | 3 | robur basket osimo | 0 | 0 | 1 |
| 22 | 3 | reyer venezia | 0 | 1 | 0 |
| 23 | 3 | new basket brindisi | 1 | 2 | 0 |
| 24 | 2 | pallacanestro messina | 0 | 1 | 0 |
| 25 | 2 | basket trapani | 0 | 0 | 1 |
| 26 | 2 | basket draghi castelletto ticino | 0 | 0 | 0 |
| 27 | 2 | basket livorno | 0 | 0 | 0 |
| 28 | 2 | pallalcesto amatori udine | 0 | 0 | 0 |
| 29 | 2 | unione cestistica casalpusterlengo | 0 | 0 | 0 |
| 30 | 2 | basket barcellona | 0 | 0 | 0 |
| 31 | 2 | fulgor libertas forli | 0 | 0 | 1 |
| 32 | 2 | scaligera basket verona | 0 | 0 | 1 |
| 33 | 1 | societa sportiva basket napoli | 1 | 1 | 0 |
| 34 | 1 | centro sportivo borgomanero | 0 | 0 | 0 |
| 35 | 1 | celana basket bergamo | 0 | 0 | 1 |
| 36 | 1 | teramo basket | 1 | 1 | 0 |
| 37 | 1 | virtus pallacanestro bologna | 0 | 1 | 0 |
| 38 | 1 | viola reggio calabria | 0 | 0 | 0 |
| 39 | 1 | victoria libertas pesaro | 0 | 1 | 0 |
| 40 | 1 | pallacanestro varese | 1 | 1 | 0 |
| 41 | 1 | pallacanestro roseto | 0 | 0 | 1 |
| 42 | 1 | nuova pallacanestro vigevano | 0 | 0 | 0 |
| 43 | 1 | cestistica san severo | 0 | 0 | 1 |
| 44 | 1 | basket brescia leonessa | 0 | 0 | 0 |
| 45 | 1 | unione cestistica piacentina piacenza | 0 | 0 | 0 |
| 46 | 1 | pallacanestro sant'antimo | 0 | 0 | 0 |
| 47 | 1 | ostuni basket | 0 | 0 | 0 |
| 48 | 1 | biancoblu basket bologna | 0 | 0 | 0 | | | | count ( "select count ( team" ) |
|---:|----------------------------------:|
| 0 | 0 | | [
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] |
select location where wrestler = 'daisuke harada' order by times asc limit 1 col : wrestler | times | date | location | notes row 1 : super delfin | 1 | 2000-01-04 00:00:00 | tokyo, japan | beat dick togo for the championship row 2 : takehiro murahama | 1 | 2000-05-07 00:00:00 | tokyo, japan | none row 3 : super delfin | 2 | 2000-06-18 00:00:00 | osaka, japan | none row 4 : gamma | 1 | 2001-06-24 00:00:00 | osaka, japan | none row 5 : super delfin | 3 | 2002-01-03 00:00:00 | osaka, japan | none row 6 : takehiro murahama | 2 | 2003-07-06 00:00:00 | osaka, japan | none row 7 : daio quallt | 1 | 2004-04-17 00:00:00 | osaka, japan | none row 8 : billyken kid | 1 | 2004-08-08 00:00:00 | osaka, japan | none row 9 : "big boss" ma-g-ma | 1 | 2004-10-02 00:00:00 | osaka, japan | none row 10 : super dolphin | 1 | 2005-02-13 00:00:00 | osaka, japan | none row 11 : super delfin | 4 | 2006-02-26 00:00:00 | osaka, japan | none row 12 : billyken kid | 2 | 2006-08-26 00:00:00 | osaka, japan | none row 13 : tigers mask | 1 | 2007-02-12 00:00:00 | osaka, japan | none row 14 : hideyoshi | 1 | 2008-07-26 00:00:00 | osaka, japan | none row 15 : billyken kid | 3 | 2009-02-15 00:00:00 | osaka, japan | none row 16 : dick togo | 1 | 2009-07-25 00:00:00 | osaka, japan | none row 17 : billyken kid | 4 | 2010-02-11 00:00:00 | osaka, japan | none row 18 : cima | 1 | 2010-06-18 00:00:00 | osaka, japan | none row 19 : tigers mask | 2 | 2010-07-29 00:00:00 | osaka, japan | none row 20 : asian cougar / kuuga | 1 | 2010-08-28 00:00:00 | osaka, japan | asian cougar renamed himself kuuga during his reign row 21 : tigers mask | 3 | 2011-04-29 00:00:00 | osaka, japan | none row 22 : billyken kid | 5 | 2011-08-14 00:00:00 | osaka, japan | none row 23 : daisuke harada | 1 | 2012-02-26 00:00:00 | osaka, japan | none row 24 : black buffalo | 1 | 2012-03-25 00:00:00 | osaka, japan | none row 25 : daisuke harada | 2 | 2012-07-22 00:00:00 | osaka, japan | none row 26 : vacated | none | 2013-03-30 00:00:00 | osaka, japan | title vacated, after harada announced that he was not re-signing with osaka pro after his contract ran out on april 29, 2013 row 27 : tigers mask | 4 | 2013-05-19 00:00:00 | osaka, japan | defeated billyken kid in the finals of a four-man tournament to win the vacant title row 28 : quiet storm | 1 | 2013-07-21 00:00:00 | osaka, japan | none row 29 : zeus | 1 | 2014-01-19 00:00:00 | osaka, japan | none | col : location row 1 : osaka, japan | select location where wrestler = 'daisuke harada' order by times asc limit 1 <table_name> : table \begin{tabular}{llllll}
\toprule
& wrestler & times & date & location & notes \\
\midrule
0 & super delfin & 1 & 2000-01-04 00:00:00 & tokyo, japan & beat dick togo for the championship \\
1 & takehiro murahama & 1 & 2000-05-07 00:00:00 & tokyo, japan & none \\
2 & super delfin & 2 & 2000-06-18 00:00:00 & osaka, japan & none \\
3 & gamma & 1 & 2001-06-24 00:00:00 & osaka, japan & none \\
4 & super delfin & 3 & 2002-01-03 00:00:00 & osaka, japan & none \\
5 & takehiro murahama & 2 & 2003-07-06 00:00:00 & osaka, japan & none \\
6 & daio quallt & 1 & 2004-04-17 00:00:00 & osaka, japan & none \\
7 & billyken kid & 1 & 2004-08-08 00:00:00 & osaka, japan & none \\
8 & "big boss" ma-g-ma & 1 & 2004-10-02 00:00:00 & osaka, japan & none \\
9 & super dolphin & 1 & 2005-02-13 00:00:00 & osaka, japan & none \\
10 & super delfin & 4 & 2006-02-26 00:00:00 & osaka, japan & none \\
11 & billyken kid & 2 & 2006-08-26 00:00:00 & osaka, japan & none \\
12 & tigers mask & 1 & 2007-02-12 00:00:00 & osaka, japan & none \\
13 & hideyoshi & 1 & 2008-07-26 00:00:00 & osaka, japan & none \\
14 & billyken kid & 3 & 2009-02-15 00:00:00 & osaka, japan & none \\
15 & dick togo & 1 & 2009-07-25 00:00:00 & osaka, japan & none \\
16 & billyken kid & 4 & 2010-02-11 00:00:00 & osaka, japan & none \\
17 & cima & 1 & 2010-06-18 00:00:00 & osaka, japan & none \\
18 & tigers mask & 2 & 2010-07-29 00:00:00 & osaka, japan & none \\
19 & asian cougar / kuuga & 1 & 2010-08-28 00:00:00 & osaka, japan & asian cougar renamed himself kuuga during his reign \\
20 & tigers mask & 3 & 2011-04-29 00:00:00 & osaka, japan & none \\
21 & billyken kid & 5 & 2011-08-14 00:00:00 & osaka, japan & none \\
22 & daisuke harada & 1 & 2012-02-26 00:00:00 & osaka, japan & none \\
23 & black buffalo & 1 & 2012-03-25 00:00:00 & osaka, japan & none \\
24 & daisuke harada & 2 & 2012-07-22 00:00:00 & osaka, japan & none \\
25 & vacated & none & 2013-03-30 00:00:00 & osaka, japan & title vacated, after harada announced that he was not re-signing with osaka pro after his contract ran out on april 29, 2013 \\
26 & tigers mask & 4 & 2013-05-19 00:00:00 & osaka, japan & defeated billyken kid in the finals of a four-man tournament to win the vacant title \\
27 & quiet storm & 1 & 2013-07-21 00:00:00 & osaka, japan & none \\
28 & zeus & 1 & 2014-01-19 00:00:00 & osaka, japan & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& location \\
\midrule
0 & osaka, japan \\
\bottomrule
\end{tabular}
| select location where wrestler = 'daisuke harada' order by times asc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>wrestler</th>
<th>times</th>
<th>date</th>
<th>location</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>super delfin</td>
<td>1</td>
<td>2000-01-04 00:00:00</td>
<td>tokyo, japan</td>
<td>beat dick togo for the championship</td>
</tr>
<tr>
<th>1</th>
<td>takehiro murahama</td>
<td>1</td>
<td>2000-05-07 00:00:00</td>
<td>tokyo, japan</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>super delfin</td>
<td>2</td>
<td>2000-06-18 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>gamma</td>
<td>1</td>
<td>2001-06-24 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>super delfin</td>
<td>3</td>
<td>2002-01-03 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>takehiro murahama</td>
<td>2</td>
<td>2003-07-06 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>daio quallt</td>
<td>1</td>
<td>2004-04-17 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>billyken kid</td>
<td>1</td>
<td>2004-08-08 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>"big boss" ma-g-ma</td>
<td>1</td>
<td>2004-10-02 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>super dolphin</td>
<td>1</td>
<td>2005-02-13 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>super delfin</td>
<td>4</td>
<td>2006-02-26 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>billyken kid</td>
<td>2</td>
<td>2006-08-26 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>tigers mask</td>
<td>1</td>
<td>2007-02-12 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>hideyoshi</td>
<td>1</td>
<td>2008-07-26 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>billyken kid</td>
<td>3</td>
<td>2009-02-15 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>dick togo</td>
<td>1</td>
<td>2009-07-25 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>billyken kid</td>
<td>4</td>
<td>2010-02-11 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>cima</td>
<td>1</td>
<td>2010-06-18 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>tigers mask</td>
<td>2</td>
<td>2010-07-29 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>asian cougar / kuuga</td>
<td>1</td>
<td>2010-08-28 00:00:00</td>
<td>osaka, japan</td>
<td>asian cougar renamed himself kuuga during his reign</td>
</tr>
<tr>
<th>20</th>
<td>tigers mask</td>
<td>3</td>
<td>2011-04-29 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>billyken kid</td>
<td>5</td>
<td>2011-08-14 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>daisuke harada</td>
<td>1</td>
<td>2012-02-26 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>black buffalo</td>
<td>1</td>
<td>2012-03-25 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>daisuke harada</td>
<td>2</td>
<td>2012-07-22 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>vacated</td>
<td>none</td>
<td>2013-03-30 00:00:00</td>
<td>osaka, japan</td>
<td>title vacated, after harada announced that he was not re-signing with osaka pro after his contract ran out on april 29, 2013</td>
</tr>
<tr>
<th>26</th>
<td>tigers mask</td>
<td>4</td>
<td>2013-05-19 00:00:00</td>
<td>osaka, japan</td>
<td>defeated billyken kid in the finals of a four-man tournament to win the vacant title</td>
</tr>
<tr>
<th>27</th>
<td>quiet storm</td>
<td>1</td>
<td>2013-07-21 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>zeus</td>
<td>1</td>
<td>2014-01-19 00:00:00</td>
<td>osaka, japan</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>location</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>osaka, japan</td>
</tr>
</tbody>
</table> | select location where wrestler = 'daisuke harada' order by times asc limit 1 <table_name> : table | | wrestler | times | date | location | notes |
|---:|:---------------------|:--------|:--------------------|:-------------|:-----------------------------------------------------------------------------------------------------------------------------|
| 0 | super delfin | 1 | 2000-01-04 00:00:00 | tokyo, japan | beat dick togo for the championship |
| 1 | takehiro murahama | 1 | 2000-05-07 00:00:00 | tokyo, japan | none |
| 2 | super delfin | 2 | 2000-06-18 00:00:00 | osaka, japan | none |
| 3 | gamma | 1 | 2001-06-24 00:00:00 | osaka, japan | none |
| 4 | super delfin | 3 | 2002-01-03 00:00:00 | osaka, japan | none |
| 5 | takehiro murahama | 2 | 2003-07-06 00:00:00 | osaka, japan | none |
| 6 | daio quallt | 1 | 2004-04-17 00:00:00 | osaka, japan | none |
| 7 | billyken kid | 1 | 2004-08-08 00:00:00 | osaka, japan | none |
| 8 | "big boss" ma-g-ma | 1 | 2004-10-02 00:00:00 | osaka, japan | none |
| 9 | super dolphin | 1 | 2005-02-13 00:00:00 | osaka, japan | none |
| 10 | super delfin | 4 | 2006-02-26 00:00:00 | osaka, japan | none |
| 11 | billyken kid | 2 | 2006-08-26 00:00:00 | osaka, japan | none |
| 12 | tigers mask | 1 | 2007-02-12 00:00:00 | osaka, japan | none |
| 13 | hideyoshi | 1 | 2008-07-26 00:00:00 | osaka, japan | none |
| 14 | billyken kid | 3 | 2009-02-15 00:00:00 | osaka, japan | none |
| 15 | dick togo | 1 | 2009-07-25 00:00:00 | osaka, japan | none |
| 16 | billyken kid | 4 | 2010-02-11 00:00:00 | osaka, japan | none |
| 17 | cima | 1 | 2010-06-18 00:00:00 | osaka, japan | none |
| 18 | tigers mask | 2 | 2010-07-29 00:00:00 | osaka, japan | none |
| 19 | asian cougar / kuuga | 1 | 2010-08-28 00:00:00 | osaka, japan | asian cougar renamed himself kuuga during his reign |
| 20 | tigers mask | 3 | 2011-04-29 00:00:00 | osaka, japan | none |
| 21 | billyken kid | 5 | 2011-08-14 00:00:00 | osaka, japan | none |
| 22 | daisuke harada | 1 | 2012-02-26 00:00:00 | osaka, japan | none |
| 23 | black buffalo | 1 | 2012-03-25 00:00:00 | osaka, japan | none |
| 24 | daisuke harada | 2 | 2012-07-22 00:00:00 | osaka, japan | none |
| 25 | vacated | none | 2013-03-30 00:00:00 | osaka, japan | title vacated, after harada announced that he was not re-signing with osaka pro after his contract ran out on april 29, 2013 |
| 26 | tigers mask | 4 | 2013-05-19 00:00:00 | osaka, japan | defeated billyken kid in the finals of a four-man tournament to win the vacant title |
| 27 | quiet storm | 1 | 2013-07-21 00:00:00 | osaka, japan | none |
| 28 | zeus | 1 | 2014-01-19 00:00:00 | osaka, japan | none | | | | location |
|---:|:-------------|
| 0 | osaka, japan | | [
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select games where gold > 2 col : games | athletes | gold | silver | bronze | total | rank row 1 : 1988 seoul | 14 | 0 | 0 | 1 | 1 | 48 row 2 : 1992 barcelona | 5 | 0 | 0 | 0 | 0 | none row 3 : 1996 atlanta | 4 | 0 | 0 | 0 | 0 | none row 4 : 2000 sydney | 7 | 0 | 0 | 0 | 0 | none row 5 : 2004 athens | 10 | 2 | 4 | 0 | 6 | 42 row 6 : 2008 beijing | 18 | 4 | 1 | 2 | 7 | 32 row 7 : 2012 london | 31 | 3 | 0 | 3 | 6 | 37 row 8 : total | total | 9 | 5 | 6 | 20 | 54 row 9 : none | none | none | none | none | none | none | col : games row 1 : 2008 beijing row 2 : 2012 london row 3 : total row 4 : none | select games where gold > 2 <table_name> : table \begin{tabular}{llllllll}
\toprule
& games & athletes & gold & silver & bronze & total & rank \\
\midrule
0 & 1988 seoul & 14 & 0 & 0 & 1 & 1 & 48 \\
1 & 1992 barcelona & 5 & 0 & 0 & 0 & 0 & none \\
2 & 1996 atlanta & 4 & 0 & 0 & 0 & 0 & none \\
3 & 2000 sydney & 7 & 0 & 0 & 0 & 0 & none \\
4 & 2004 athens & 10 & 2 & 4 & 0 & 6 & 42 \\
5 & 2008 beijing & 18 & 4 & 1 & 2 & 7 & 32 \\
6 & 2012 london & 31 & 3 & 0 & 3 & 6 & 37 \\
7 & total & total & 9 & 5 & 6 & 20 & 54 \\
8 & none & none & none & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& games \\
\midrule
0 & 2008 beijing \\
1 & 2012 london \\
2 & total \\
3 & none \\
\bottomrule
\end{tabular}
| select games where gold > 2 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>games</th>
<th>athletes</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
<th>rank</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1988 seoul</td>
<td>14</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>48</td>
</tr>
<tr>
<th>1</th>
<td>1992 barcelona</td>
<td>5</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1996 atlanta</td>
<td>4</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>2000 sydney</td>
<td>7</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2004 athens</td>
<td>10</td>
<td>2</td>
<td>4</td>
<td>0</td>
<td>6</td>
<td>42</td>
</tr>
<tr>
<th>5</th>
<td>2008 beijing</td>
<td>18</td>
<td>4</td>
<td>1</td>
<td>2</td>
<td>7</td>
<td>32</td>
</tr>
<tr>
<th>6</th>
<td>2012 london</td>
<td>31</td>
<td>3</td>
<td>0</td>
<td>3</td>
<td>6</td>
<td>37</td>
</tr>
<tr>
<th>7</th>
<td>total</td>
<td>total</td>
<td>9</td>
<td>5</td>
<td>6</td>
<td>20</td>
<td>54</td>
</tr>
<tr>
<th>8</th>
<td>none</td>
<td>none</td>
<td>none</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>games</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2008 beijing</td>
</tr>
<tr>
<th>1</th>
<td>2012 london</td>
</tr>
<tr>
<th>2</th>
<td>total</td>
</tr>
<tr>
<th>3</th>
<td>none</td>
</tr>
</tbody>
</table> | select games where gold > 2 <table_name> : table | | games | athletes | gold | silver | bronze | total | rank |
|---:|:---------------|:-----------|:-------|:---------|:---------|:--------|:-------|
| 0 | 1988 seoul | 14 | 0 | 0 | 1 | 1 | 48 |
| 1 | 1992 barcelona | 5 | 0 | 0 | 0 | 0 | none |
| 2 | 1996 atlanta | 4 | 0 | 0 | 0 | 0 | none |
| 3 | 2000 sydney | 7 | 0 | 0 | 0 | 0 | none |
| 4 | 2004 athens | 10 | 2 | 4 | 0 | 6 | 42 |
| 5 | 2008 beijing | 18 | 4 | 1 | 2 | 7 | 32 |
| 6 | 2012 london | 31 | 3 | 0 | 3 | 6 | 37 |
| 7 | total | total | 9 | 5 | 6 | 20 | 54 |
| 8 | none | none | none | none | none | none | none | | | | games |
|---:|:-------------|
| 0 | 2008 beijing |
| 1 | 2012 london |
| 2 | total |
| 3 | none | | [
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select committee where first elected = 2002 col : district | counties represented | delegate | party | first elected | committee row 1 : 1a | allegany, garrett | wendell r. beitzel | republican | 2006 | health and government operations row 2 : 1b | allegany | kevin kelly | democratic | 1986 | judiciary row 3 : 1c | allegany, washington | leroy e. myers, jr | republican | 2002 | appropriations row 4 : 2a | washington | andrew a. serafini | republican | 2008 | ways and means row 5 : 2b | washington | christopher b. shank | republican | 1998 | judiciary row 6 : 2c | washington | john p. donoghue | democratic | 1990 | health and government operations row 7 : 3a | frederick | galen r. clagett | democratic | 2002 | appropriations row 8 : 3a | frederick | sue hecht | democratic | 1994 | economic matters row 9 : 3b | frederick, washington | michael hough | republican | 2002 | health and government operations row 10 : 4a | frederick | joseph r. bartlett | republican | 1998 | ways and means row 11 : 4a | frederick | kelly m. schulz | republican | 2011 | environmental matters row 12 : 4b | carroll, frederick | donald b. elliott | republican | 1986 | health and government operations row 13 : 5a | carroll | tanya thornton shewell | republican | 2004 | environmental matters row 14 : 5a | carroll | nancy r. stocksdale | republican | 1994 | appropriations row 15 : 9b | carroll | susan w. krebs | republican | 2002 | ways and means | col : committee row 1 : appropriations row 2 : appropriations row 3 : health and government operations row 4 : ways and means | select committee where first elected = 2002 <table_name> : table \begin{tabular}{lllllll}
\toprule
& district & counties represented & delegate & party & first elected & committee \\
\midrule
0 & 1a & allegany, garrett & wendell r. beitzel & republican & 2006 & health and government operations \\
1 & 1b & allegany & kevin kelly & democratic & 1986 & judiciary \\
2 & 1c & allegany, washington & leroy e. myers, jr & republican & 2002 & appropriations \\
3 & 2a & washington & andrew a. serafini & republican & 2008 & ways and means \\
4 & 2b & washington & christopher b. shank & republican & 1998 & judiciary \\
5 & 2c & washington & john p. donoghue & democratic & 1990 & health and government operations \\
6 & 3a & frederick & galen r. clagett & democratic & 2002 & appropriations \\
7 & 3a & frederick & sue hecht & democratic & 1994 & economic matters \\
8 & 3b & frederick, washington & michael hough & republican & 2002 & health and government operations \\
9 & 4a & frederick & joseph r. bartlett & republican & 1998 & ways and means \\
10 & 4a & frederick & kelly m. schulz & republican & 2011 & environmental matters \\
11 & 4b & carroll, frederick & donald b. elliott & republican & 1986 & health and government operations \\
12 & 5a & carroll & tanya thornton shewell & republican & 2004 & environmental matters \\
13 & 5a & carroll & nancy r. stocksdale & republican & 1994 & appropriations \\
14 & 9b & carroll & susan w. krebs & republican & 2002 & ways and means \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& committee \\
\midrule
0 & appropriations \\
1 & appropriations \\
2 & health and government operations \\
3 & ways and means \\
\bottomrule
\end{tabular}
| select committee where first elected = 2002 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>district</th>
<th>counties represented</th>
<th>delegate</th>
<th>party</th>
<th>first elected</th>
<th>committee</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1a</td>
<td>allegany, garrett</td>
<td>wendell r. beitzel</td>
<td>republican</td>
<td>2006</td>
<td>health and government operations</td>
</tr>
<tr>
<th>1</th>
<td>1b</td>
<td>allegany</td>
<td>kevin kelly</td>
<td>democratic</td>
<td>1986</td>
<td>judiciary</td>
</tr>
<tr>
<th>2</th>
<td>1c</td>
<td>allegany, washington</td>
<td>leroy e. myers, jr</td>
<td>republican</td>
<td>2002</td>
<td>appropriations</td>
</tr>
<tr>
<th>3</th>
<td>2a</td>
<td>washington</td>
<td>andrew a. serafini</td>
<td>republican</td>
<td>2008</td>
<td>ways and means</td>
</tr>
<tr>
<th>4</th>
<td>2b</td>
<td>washington</td>
<td>christopher b. shank</td>
<td>republican</td>
<td>1998</td>
<td>judiciary</td>
</tr>
<tr>
<th>5</th>
<td>2c</td>
<td>washington</td>
<td>john p. donoghue</td>
<td>democratic</td>
<td>1990</td>
<td>health and government operations</td>
</tr>
<tr>
<th>6</th>
<td>3a</td>
<td>frederick</td>
<td>galen r. clagett</td>
<td>democratic</td>
<td>2002</td>
<td>appropriations</td>
</tr>
<tr>
<th>7</th>
<td>3a</td>
<td>frederick</td>
<td>sue hecht</td>
<td>democratic</td>
<td>1994</td>
<td>economic matters</td>
</tr>
<tr>
<th>8</th>
<td>3b</td>
<td>frederick, washington</td>
<td>michael hough</td>
<td>republican</td>
<td>2002</td>
<td>health and government operations</td>
</tr>
<tr>
<th>9</th>
<td>4a</td>
<td>frederick</td>
<td>joseph r. bartlett</td>
<td>republican</td>
<td>1998</td>
<td>ways and means</td>
</tr>
<tr>
<th>10</th>
<td>4a</td>
<td>frederick</td>
<td>kelly m. schulz</td>
<td>republican</td>
<td>2011</td>
<td>environmental matters</td>
</tr>
<tr>
<th>11</th>
<td>4b</td>
<td>carroll, frederick</td>
<td>donald b. elliott</td>
<td>republican</td>
<td>1986</td>
<td>health and government operations</td>
</tr>
<tr>
<th>12</th>
<td>5a</td>
<td>carroll</td>
<td>tanya thornton shewell</td>
<td>republican</td>
<td>2004</td>
<td>environmental matters</td>
</tr>
<tr>
<th>13</th>
<td>5a</td>
<td>carroll</td>
<td>nancy r. stocksdale</td>
<td>republican</td>
<td>1994</td>
<td>appropriations</td>
</tr>
<tr>
<th>14</th>
<td>9b</td>
<td>carroll</td>
<td>susan w. krebs</td>
<td>republican</td>
<td>2002</td>
<td>ways and means</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>committee</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>appropriations</td>
</tr>
<tr>
<th>1</th>
<td>appropriations</td>
</tr>
<tr>
<th>2</th>
<td>health and government operations</td>
</tr>
<tr>
<th>3</th>
<td>ways and means</td>
</tr>
</tbody>
</table> | select committee where first elected = 2002 <table_name> : table | | district | counties represented | delegate | party | first elected | committee |
|---:|:-----------|:-----------------------|:-----------------------|:-----------|----------------:|:---------------------------------|
| 0 | 1a | allegany, garrett | wendell r. beitzel | republican | 2006 | health and government operations |
| 1 | 1b | allegany | kevin kelly | democratic | 1986 | judiciary |
| 2 | 1c | allegany, washington | leroy e. myers, jr | republican | 2002 | appropriations |
| 3 | 2a | washington | andrew a. serafini | republican | 2008 | ways and means |
| 4 | 2b | washington | christopher b. shank | republican | 1998 | judiciary |
| 5 | 2c | washington | john p. donoghue | democratic | 1990 | health and government operations |
| 6 | 3a | frederick | galen r. clagett | democratic | 2002 | appropriations |
| 7 | 3a | frederick | sue hecht | democratic | 1994 | economic matters |
| 8 | 3b | frederick, washington | michael hough | republican | 2002 | health and government operations |
| 9 | 4a | frederick | joseph r. bartlett | republican | 1998 | ways and means |
| 10 | 4a | frederick | kelly m. schulz | republican | 2011 | environmental matters |
| 11 | 4b | carroll, frederick | donald b. elliott | republican | 1986 | health and government operations |
| 12 | 5a | carroll | tanya thornton shewell | republican | 2004 | environmental matters |
| 13 | 5a | carroll | nancy r. stocksdale | republican | 1994 | appropriations |
| 14 | 9b | carroll | susan w. krebs | republican | 2002 | ways and means | | | | committee |
|---:|:---------------------------------|
| 0 | appropriations |
| 1 | appropriations |
| 2 | health and government operations |
| 3 | ways and means | | [
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select count ( distinct result ) where result = '24 december 2009' col : no. | score | player | team | balls | inns. | opposing team | date | result row 1 : 1 | 123 | kris srikkanth | india | 103 | 1 | pakistan | 1987-02-18 00:00:00 | lost row 2 : 2 | 107 | desmond haynes | west indies | 137 | 1 | pakistan | 1989-11-01 00:00:00 | lost row 3 : 3 | 100 | sachin tendulkar | india | 103 | 2 | kenya | 1998-05-31 00:00:00 | won row 4 : 4 | 121 | marcus trescothick | england | 109 | 2 | india | 2002-01-19 00:00:00 | lost row 5 : 5 | 108 | salman butt | pakistan | 130 | 2 | india | 2004-11-13 00:00:00 | won row 6 : 6 | 134 | graeme smith | south africa | 124 | 2 | india | 2005-11-25 00:00:00 | won row 7 : 7 | 118 | upul tharanga | sri lanka | 128 | 1 | india | 2009-12-24 00:00:00 | lost row 8 : 8 | 150 | gautam gambhir | india | 137 | 2 | sri lanka | 2009-12-24 00:00:00 | won row 9 : 9 | 107 | virat kohli | india | 114 | 2 | sri lanka | 2009-12-24 00:00:00 | won row 10 : 10 | 106 | ryan ten doeschate | netherlands | 108 | 1 | ireland | 2011-03-18 00:00:00 | lost row 11 : 11 | 101 | paul stirling | ireland | 72 | 2 | netherlands | 2011-03-18 00:00:00 | won row 12 : 12 | 106 | nasir jamshed | pakistan | 124 | 1 | india | 2013-01-03 00:00:00 | won | col : count ( "distinct result" ) row 1 : 0 | select count ( distinct result ) where result = '24 december 2009' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& no. & score & player & team & balls & inns. & opposing team & date & result \\
\midrule
0 & 1 & 123 & kris srikkanth & india & 103 & 1 & pakistan & 1987-02-18 00:00:00 & lost \\
1 & 2 & 107 & desmond haynes & west indies & 137 & 1 & pakistan & 1989-11-01 00:00:00 & lost \\
2 & 3 & 100 & sachin tendulkar & india & 103 & 2 & kenya & 1998-05-31 00:00:00 & won \\
3 & 4 & 121 & marcus trescothick & england & 109 & 2 & india & 2002-01-19 00:00:00 & lost \\
4 & 5 & 108 & salman butt & pakistan & 130 & 2 & india & 2004-11-13 00:00:00 & won \\
5 & 6 & 134 & graeme smith & south africa & 124 & 2 & india & 2005-11-25 00:00:00 & won \\
6 & 7 & 118 & upul tharanga & sri lanka & 128 & 1 & india & 2009-12-24 00:00:00 & lost \\
7 & 8 & 150 & gautam gambhir & india & 137 & 2 & sri lanka & 2009-12-24 00:00:00 & won \\
8 & 9 & 107 & virat kohli & india & 114 & 2 & sri lanka & 2009-12-24 00:00:00 & won \\
9 & 10 & 106 & ryan ten doeschate & netherlands & 108 & 1 & ireland & 2011-03-18 00:00:00 & lost \\
10 & 11 & 101 & paul stirling & ireland & 72 & 2 & netherlands & 2011-03-18 00:00:00 & won \\
11 & 12 & 106 & nasir jamshed & pakistan & 124 & 1 & india & 2013-01-03 00:00:00 & won \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "distinct result" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( distinct result ) where result = '24 december 2009' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
<th>score</th>
<th>player</th>
<th>team</th>
<th>balls</th>
<th>inns.</th>
<th>opposing team</th>
<th>date</th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>123</td>
<td>kris srikkanth</td>
<td>india</td>
<td>103</td>
<td>1</td>
<td>pakistan</td>
<td>1987-02-18 00:00:00</td>
<td>lost</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>107</td>
<td>desmond haynes</td>
<td>west indies</td>
<td>137</td>
<td>1</td>
<td>pakistan</td>
<td>1989-11-01 00:00:00</td>
<td>lost</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>100</td>
<td>sachin tendulkar</td>
<td>india</td>
<td>103</td>
<td>2</td>
<td>kenya</td>
<td>1998-05-31 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>121</td>
<td>marcus trescothick</td>
<td>england</td>
<td>109</td>
<td>2</td>
<td>india</td>
<td>2002-01-19 00:00:00</td>
<td>lost</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>108</td>
<td>salman butt</td>
<td>pakistan</td>
<td>130</td>
<td>2</td>
<td>india</td>
<td>2004-11-13 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>134</td>
<td>graeme smith</td>
<td>south africa</td>
<td>124</td>
<td>2</td>
<td>india</td>
<td>2005-11-25 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>118</td>
<td>upul tharanga</td>
<td>sri lanka</td>
<td>128</td>
<td>1</td>
<td>india</td>
<td>2009-12-24 00:00:00</td>
<td>lost</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>150</td>
<td>gautam gambhir</td>
<td>india</td>
<td>137</td>
<td>2</td>
<td>sri lanka</td>
<td>2009-12-24 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>107</td>
<td>virat kohli</td>
<td>india</td>
<td>114</td>
<td>2</td>
<td>sri lanka</td>
<td>2009-12-24 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>106</td>
<td>ryan ten doeschate</td>
<td>netherlands</td>
<td>108</td>
<td>1</td>
<td>ireland</td>
<td>2011-03-18 00:00:00</td>
<td>lost</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>101</td>
<td>paul stirling</td>
<td>ireland</td>
<td>72</td>
<td>2</td>
<td>netherlands</td>
<td>2011-03-18 00:00:00</td>
<td>won</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>106</td>
<td>nasir jamshed</td>
<td>pakistan</td>
<td>124</td>
<td>1</td>
<td>india</td>
<td>2013-01-03 00:00:00</td>
<td>won</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "distinct result" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( distinct result ) where result = '24 december 2009' <table_name> : table | | no. | score | player | team | balls | inns. | opposing team | date | result |
|---:|------:|--------:|:-------------------|:-------------|--------:|--------:|:----------------|:--------------------|:---------|
| 0 | 1 | 123 | kris srikkanth | india | 103 | 1 | pakistan | 1987-02-18 00:00:00 | lost |
| 1 | 2 | 107 | desmond haynes | west indies | 137 | 1 | pakistan | 1989-11-01 00:00:00 | lost |
| 2 | 3 | 100 | sachin tendulkar | india | 103 | 2 | kenya | 1998-05-31 00:00:00 | won |
| 3 | 4 | 121 | marcus trescothick | england | 109 | 2 | india | 2002-01-19 00:00:00 | lost |
| 4 | 5 | 108 | salman butt | pakistan | 130 | 2 | india | 2004-11-13 00:00:00 | won |
| 5 | 6 | 134 | graeme smith | south africa | 124 | 2 | india | 2005-11-25 00:00:00 | won |
| 6 | 7 | 118 | upul tharanga | sri lanka | 128 | 1 | india | 2009-12-24 00:00:00 | lost |
| 7 | 8 | 150 | gautam gambhir | india | 137 | 2 | sri lanka | 2009-12-24 00:00:00 | won |
| 8 | 9 | 107 | virat kohli | india | 114 | 2 | sri lanka | 2009-12-24 00:00:00 | won |
| 9 | 10 | 106 | ryan ten doeschate | netherlands | 108 | 1 | ireland | 2011-03-18 00:00:00 | lost |
| 10 | 11 | 101 | paul stirling | ireland | 72 | 2 | netherlands | 2011-03-18 00:00:00 | won |
| 11 | 12 | 106 | nasir jamshed | pakistan | 124 | 1 | india | 2013-01-03 00:00:00 | won | | | | count ( "distinct result" ) |
|---:|------------------------------:|
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select avg ( team ) where position = 'of' col : pick | player | team | position | school row 1 : 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university row 2 : 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) row 3 : 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs row 4 : 4 | jeff jackson | philadelphia phillies | of | simeon hs (chicago, il) row 5 : 5 | donald harris | texas rangers | of | texas tech university row 6 : 6 | paul coleman | saint louis cardinals | of | frankston (tx) hs row 7 : 7 | frank thomas | chicago white sox | 1b | auburn university row 8 : 8 | earl cunningham | chicago cubs | of | lancaster (sc) hs row 9 : 9 | kyle abbott | california angels | lhp | long beach state university row 10 : 10 | charles johnson | montreal expos | c | westwood hs (fort pierce, fl) row 11 : 11 | calvin murray | cleveland indians | 3b | w.t. white high school (dallas, tx) row 12 : 12 | jeff juden | houston astros | rhp | salem (ma) hs row 13 : 13 | brent mayne | kansas city royals | c | cal state fullerton row 14 : 14 | steve hosey | san francisco giants | of | fresno state university row 15 : 15 | kiki jones | los angeles dodgers | rhp | hillsborough hs (tampa, fl) row 16 : 16 | greg blosser | boston red sox | of | sarasota (fl) hs row 17 : 17 | cal eldred | milwaukee brewers | rhp | university of iowa row 18 : 18 | willie greene | pittsburgh pirates | ss | jones county hs (gray, ga) row 19 : 19 | eddie zosky | toronto blue jays | ss | fresno state university row 20 : 20 | scott bryant | cincinnati reds | of | university of texas row 21 : 21 | greg gohr | detroit tigers | rhp | santa clara university row 22 : 22 | tom goodwin | los angeles dodgers | of | fresno state university row 23 : 23 | mo vaughn | boston red sox | 1b | seton hall university row 24 : 24 | alan zinter | new york mets | c | university of arizona row 25 : 25 | chuck knoblauch | minnesota twins | 2b | texas a&m university row 26 : 26 | scott burrell | seattle mariners | rhp | hamden (ct) hs | col : avg ( "team" ) row 1 : 0 | select avg ( team ) where position = 'of' <table_name> : table \begin{tabular}{llllll}
\toprule
& pick & player & team & position & school \\
\midrule
0 & 1 & ben mcdonald & baltimore orioles & rhp & louisiana state university \\
1 & 2 & tyler houston & atlanta braves & c & valley hs (las vegas, nv) \\
2 & 3 & roger salkeld & seattle mariners & rhp & saugus (ca) hs \\
3 & 4 & jeff jackson & philadelphia phillies & of & simeon hs (chicago, il) \\
4 & 5 & donald harris & texas rangers & of & texas tech university \\
5 & 6 & paul coleman & saint louis cardinals & of & frankston (tx) hs \\
6 & 7 & frank thomas & chicago white sox & 1b & auburn university \\
7 & 8 & earl cunningham & chicago cubs & of & lancaster (sc) hs \\
8 & 9 & kyle abbott & california angels & lhp & long beach state university \\
9 & 10 & charles johnson & montreal expos & c & westwood hs (fort pierce, fl) \\
10 & 11 & calvin murray & cleveland indians & 3b & w.t. white high school (dallas, tx) \\
11 & 12 & jeff juden & houston astros & rhp & salem (ma) hs \\
12 & 13 & brent mayne & kansas city royals & c & cal state fullerton \\
13 & 14 & steve hosey & san francisco giants & of & fresno state university \\
14 & 15 & kiki jones & los angeles dodgers & rhp & hillsborough hs (tampa, fl) \\
15 & 16 & greg blosser & boston red sox & of & sarasota (fl) hs \\
16 & 17 & cal eldred & milwaukee brewers & rhp & university of iowa \\
17 & 18 & willie greene & pittsburgh pirates & ss & jones county hs (gray, ga) \\
18 & 19 & eddie zosky & toronto blue jays & ss & fresno state university \\
19 & 20 & scott bryant & cincinnati reds & of & university of texas \\
20 & 21 & greg gohr & detroit tigers & rhp & santa clara university \\
21 & 22 & tom goodwin & los angeles dodgers & of & fresno state university \\
22 & 23 & mo vaughn & boston red sox & 1b & seton hall university \\
23 & 24 & alan zinter & new york mets & c & university of arizona \\
24 & 25 & chuck knoblauch & minnesota twins & 2b & texas a&m university \\
25 & 26 & scott burrell & seattle mariners & rhp & hamden (ct) hs \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& avg ( "team" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select avg ( team ) where position = 'of' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pick</th>
<th>player</th>
<th>team</th>
<th>position</th>
<th>school</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>ben mcdonald</td>
<td>baltimore orioles</td>
<td>rhp</td>
<td>louisiana state university</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>tyler houston</td>
<td>atlanta braves</td>
<td>c</td>
<td>valley hs (las vegas, nv)</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>roger salkeld</td>
<td>seattle mariners</td>
<td>rhp</td>
<td>saugus (ca) hs</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>jeff jackson</td>
<td>philadelphia phillies</td>
<td>of</td>
<td>simeon hs (chicago, il)</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>donald harris</td>
<td>texas rangers</td>
<td>of</td>
<td>texas tech university</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>paul coleman</td>
<td>saint louis cardinals</td>
<td>of</td>
<td>frankston (tx) hs</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>frank thomas</td>
<td>chicago white sox</td>
<td>1b</td>
<td>auburn university</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>earl cunningham</td>
<td>chicago cubs</td>
<td>of</td>
<td>lancaster (sc) hs</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>kyle abbott</td>
<td>california angels</td>
<td>lhp</td>
<td>long beach state university</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>charles johnson</td>
<td>montreal expos</td>
<td>c</td>
<td>westwood hs (fort pierce, fl)</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>calvin murray</td>
<td>cleveland indians</td>
<td>3b</td>
<td>w.t. white high school (dallas, tx)</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>jeff juden</td>
<td>houston astros</td>
<td>rhp</td>
<td>salem (ma) hs</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>brent mayne</td>
<td>kansas city royals</td>
<td>c</td>
<td>cal state fullerton</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>steve hosey</td>
<td>san francisco giants</td>
<td>of</td>
<td>fresno state university</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>kiki jones</td>
<td>los angeles dodgers</td>
<td>rhp</td>
<td>hillsborough hs (tampa, fl)</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>greg blosser</td>
<td>boston red sox</td>
<td>of</td>
<td>sarasota (fl) hs</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>cal eldred</td>
<td>milwaukee brewers</td>
<td>rhp</td>
<td>university of iowa</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>willie greene</td>
<td>pittsburgh pirates</td>
<td>ss</td>
<td>jones county hs (gray, ga)</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>eddie zosky</td>
<td>toronto blue jays</td>
<td>ss</td>
<td>fresno state university</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>scott bryant</td>
<td>cincinnati reds</td>
<td>of</td>
<td>university of texas</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>greg gohr</td>
<td>detroit tigers</td>
<td>rhp</td>
<td>santa clara university</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>tom goodwin</td>
<td>los angeles dodgers</td>
<td>of</td>
<td>fresno state university</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>mo vaughn</td>
<td>boston red sox</td>
<td>1b</td>
<td>seton hall university</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>alan zinter</td>
<td>new york mets</td>
<td>c</td>
<td>university of arizona</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>chuck knoblauch</td>
<td>minnesota twins</td>
<td>2b</td>
<td>texas a&m university</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>scott burrell</td>
<td>seattle mariners</td>
<td>rhp</td>
<td>hamden (ct) hs</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>avg ( "team" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select avg ( team ) where position = 'of' <table_name> : table | | pick | player | team | position | school |
|---:|-------:|:----------------|:----------------------|:-----------|:------------------------------------|
| 0 | 1 | ben mcdonald | baltimore orioles | rhp | louisiana state university |
| 1 | 2 | tyler houston | atlanta braves | c | valley hs (las vegas, nv) |
| 2 | 3 | roger salkeld | seattle mariners | rhp | saugus (ca) hs |
| 3 | 4 | jeff jackson | philadelphia phillies | of | simeon hs (chicago, il) |
| 4 | 5 | donald harris | texas rangers | of | texas tech university |
| 5 | 6 | paul coleman | saint louis cardinals | of | frankston (tx) hs |
| 6 | 7 | frank thomas | chicago white sox | 1b | auburn university |
| 7 | 8 | earl cunningham | chicago cubs | of | lancaster (sc) hs |
| 8 | 9 | kyle abbott | california angels | lhp | long beach state university |
| 9 | 10 | charles johnson | montreal expos | c | westwood hs (fort pierce, fl) |
| 10 | 11 | calvin murray | cleveland indians | 3b | w.t. white high school (dallas, tx) |
| 11 | 12 | jeff juden | houston astros | rhp | salem (ma) hs |
| 12 | 13 | brent mayne | kansas city royals | c | cal state fullerton |
| 13 | 14 | steve hosey | san francisco giants | of | fresno state university |
| 14 | 15 | kiki jones | los angeles dodgers | rhp | hillsborough hs (tampa, fl) |
| 15 | 16 | greg blosser | boston red sox | of | sarasota (fl) hs |
| 16 | 17 | cal eldred | milwaukee brewers | rhp | university of iowa |
| 17 | 18 | willie greene | pittsburgh pirates | ss | jones county hs (gray, ga) |
| 18 | 19 | eddie zosky | toronto blue jays | ss | fresno state university |
| 19 | 20 | scott bryant | cincinnati reds | of | university of texas |
| 20 | 21 | greg gohr | detroit tigers | rhp | santa clara university |
| 21 | 22 | tom goodwin | los angeles dodgers | of | fresno state university |
| 22 | 23 | mo vaughn | boston red sox | 1b | seton hall university |
| 23 | 24 | alan zinter | new york mets | c | university of arizona |
| 24 | 25 | chuck knoblauch | minnesota twins | 2b | texas a&m university |
| 25 | 26 | scott burrell | seattle mariners | rhp | hamden (ct) hs | | | | avg ( "team" ) |
|---:|-----------------:|
| 0 | 0 | | [
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select album where album = 'single-only release' and year = 1982 col : year | title | peak chart positions aus | peak chart positions nz | peak chart positions uk | album row 1 : 1981 | "stand up" | none | none | none | triffids sixth row 2 : 1982 | "spanish blue" | none | none | none | single-only release row 3 : 1984 | "beautiful waste" | none | none | none | single-only release row 4 : 1985 | "you don't miss your water" | none | none | none | single-only release row 5 : 1986 | "wide open road" | 64 | none | 26 | born sandy devotional row 6 : 1987 | "bury me deep in love" | 48 | 34 | none | calenture row 7 : 1988 | "trick of the light" | 77 | none | 73 | calenture row 8 : 1988 | "holy water" | none | none | none | calenture row 9 : 1989 | "goodbye little boy" | 81 | none | none | the black swan row 10 : 1989 | "falling over you" | none | none | none | the black swan row 11 : 2007 | "save what you can" | none | none | none | promotional release | col : album row 1 : single-only release | select album where album = 'single-only release' and year = 1982 <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & title & peak chart positions aus & peak chart positions nz & peak chart positions uk & album \\
\midrule
0 & 1981 & "stand up" & none & none & none & triffids sixth \\
1 & 1982 & "spanish blue" & none & none & none & single-only release \\
2 & 1984 & "beautiful waste" & none & none & none & single-only release \\
3 & 1985 & "you don't miss your water" & none & none & none & single-only release \\
4 & 1986 & "wide open road" & 64 & none & 26 & born sandy devotional \\
5 & 1987 & "bury me deep in love" & 48 & 34 & none & calenture \\
6 & 1988 & "trick of the light" & 77 & none & 73 & calenture \\
7 & 1988 & "holy water" & none & none & none & calenture \\
8 & 1989 & "goodbye little boy" & 81 & none & none & the black swan \\
9 & 1989 & "falling over you" & none & none & none & the black swan \\
10 & 2007 & "save what you can" & none & none & none & promotional release \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& album \\
\midrule
0 & single-only release \\
\bottomrule
\end{tabular}
| select album where album = 'single-only release' and year = 1982 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>peak chart positions aus</th>
<th>peak chart positions nz</th>
<th>peak chart positions uk</th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1981</td>
<td>"stand up"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>triffids sixth</td>
</tr>
<tr>
<th>1</th>
<td>1982</td>
<td>"spanish blue"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>single-only release</td>
</tr>
<tr>
<th>2</th>
<td>1984</td>
<td>"beautiful waste"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>single-only release</td>
</tr>
<tr>
<th>3</th>
<td>1985</td>
<td>"you don't miss your water"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>single-only release</td>
</tr>
<tr>
<th>4</th>
<td>1986</td>
<td>"wide open road"</td>
<td>64</td>
<td>none</td>
<td>26</td>
<td>born sandy devotional</td>
</tr>
<tr>
<th>5</th>
<td>1987</td>
<td>"bury me deep in love"</td>
<td>48</td>
<td>34</td>
<td>none</td>
<td>calenture</td>
</tr>
<tr>
<th>6</th>
<td>1988</td>
<td>"trick of the light"</td>
<td>77</td>
<td>none</td>
<td>73</td>
<td>calenture</td>
</tr>
<tr>
<th>7</th>
<td>1988</td>
<td>"holy water"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>calenture</td>
</tr>
<tr>
<th>8</th>
<td>1989</td>
<td>"goodbye little boy"</td>
<td>81</td>
<td>none</td>
<td>none</td>
<td>the black swan</td>
</tr>
<tr>
<th>9</th>
<td>1989</td>
<td>"falling over you"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>the black swan</td>
</tr>
<tr>
<th>10</th>
<td>2007</td>
<td>"save what you can"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>promotional release</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>single-only release</td>
</tr>
</tbody>
</table> | select album where album = 'single-only release' and year = 1982 <table_name> : table | | year | title | peak chart positions aus | peak chart positions nz | peak chart positions uk | album |
|---:|-------:|:----------------------------|:---------------------------|:--------------------------|:--------------------------|:----------------------|
| 0 | 1981 | "stand up" | none | none | none | triffids sixth |
| 1 | 1982 | "spanish blue" | none | none | none | single-only release |
| 2 | 1984 | "beautiful waste" | none | none | none | single-only release |
| 3 | 1985 | "you don't miss your water" | none | none | none | single-only release |
| 4 | 1986 | "wide open road" | 64 | none | 26 | born sandy devotional |
| 5 | 1987 | "bury me deep in love" | 48 | 34 | none | calenture |
| 6 | 1988 | "trick of the light" | 77 | none | 73 | calenture |
| 7 | 1988 | "holy water" | none | none | none | calenture |
| 8 | 1989 | "goodbye little boy" | 81 | none | none | the black swan |
| 9 | 1989 | "falling over you" | none | none | none | the black swan |
| 10 | 2007 | "save what you can" | none | none | none | promotional release | | | | album |
|---:|:--------------------|
| 0 | single-only release | | [
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] |
select party where party = 'liberal' col : party | candidate | votes | % | ±% row 1 : liberal | adrian pederick | 11469 | 55.1 | -6.7 row 2 : labor | lou bailey | 5314 | 25.5 | 2.5 row 3 : family first | daniel gutteridge | 1654 | 7.9 | 0.8 row 4 : greens | damien pyne | 1458 | 7.0 | -1 row 5 : nationals sa | rachel titley | 912 | 4.4 | 4.4 row 6 : total formal votes | total formal votes | 20807 | 96.8 | 0 row 7 : informal votes | informal votes | 697 | 3.2 | 0 row 8 : turnout | turnout | 21504 | 92.1 | -0.7 row 9 : liberal | adrian pederick | 13444 | 64.6 | -3.1 row 10 : labor | lou bailey | 7363 | 35.4 | 3.1 row 11 : liberal hold | liberal hold | swing | -3.1 | none | col : party row 1 : liberal row 2 : liberal | select party where party = 'liberal' <table_name> : table \begin{tabular}{llllll}
\toprule
& party & candidate & votes & % & ±% \\
\midrule
0 & liberal & adrian pederick & 11469 & 55.1 & -6.7 \\
1 & labor & lou bailey & 5314 & 25.5 & 2.5 \\
2 & family first & daniel gutteridge & 1654 & 7.9 & 0.8 \\
3 & greens & damien pyne & 1458 & 7.0 & -1 \\
4 & nationals sa & rachel titley & 912 & 4.4 & 4.4 \\
5 & total formal votes & total formal votes & 20807 & 96.8 & 0 \\
6 & informal votes & informal votes & 697 & 3.2 & 0 \\
7 & turnout & turnout & 21504 & 92.1 & -0.7 \\
8 & liberal & adrian pederick & 13444 & 64.6 & -3.1 \\
9 & labor & lou bailey & 7363 & 35.4 & 3.1 \\
10 & liberal hold & liberal hold & swing & -3.1 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& party \\
\midrule
0 & liberal \\
1 & liberal \\
\bottomrule
\end{tabular}
| select party where party = 'liberal' <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>liberal</td>
<td>adrian pederick</td>
<td>11469</td>
<td>55.1</td>
<td>-6.7</td>
</tr>
<tr>
<th>1</th>
<td>labor</td>
<td>lou bailey</td>
<td>5314</td>
<td>25.5</td>
<td>2.5</td>
</tr>
<tr>
<th>2</th>
<td>family first</td>
<td>daniel gutteridge</td>
<td>1654</td>
<td>7.9</td>
<td>0.8</td>
</tr>
<tr>
<th>3</th>
<td>greens</td>
<td>damien pyne</td>
<td>1458</td>
<td>7.0</td>
<td>-1</td>
</tr>
<tr>
<th>4</th>
<td>nationals sa</td>
<td>rachel titley</td>
<td>912</td>
<td>4.4</td>
<td>4.4</td>
</tr>
<tr>
<th>5</th>
<td>total formal votes</td>
<td>total formal votes</td>
<td>20807</td>
<td>96.8</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>informal votes</td>
<td>informal votes</td>
<td>697</td>
<td>3.2</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>turnout</td>
<td>turnout</td>
<td>21504</td>
<td>92.1</td>
<td>-0.7</td>
</tr>
<tr>
<th>8</th>
<td>liberal</td>
<td>adrian pederick</td>
<td>13444</td>
<td>64.6</td>
<td>-3.1</td>
</tr>
<tr>
<th>9</th>
<td>labor</td>
<td>lou bailey</td>
<td>7363</td>
<td>35.4</td>
<td>3.1</td>
</tr>
<tr>
<th>10</th>
<td>liberal hold</td>
<td>liberal hold</td>
<td>swing</td>
<td>-3.1</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>party</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>liberal</td>
</tr>
<tr>
<th>1</th>
<td>liberal</td>
</tr>
</tbody>
</table> | select party where party = 'liberal' <table_name> : table | | party | candidate | votes | % | ±% |
|---:|:-------------------|:-------------------|:--------|-----:|:-----|
| 0 | liberal | adrian pederick | 11469 | 55.1 | -6.7 |
| 1 | labor | lou bailey | 5314 | 25.5 | 2.5 |
| 2 | family first | daniel gutteridge | 1654 | 7.9 | 0.8 |
| 3 | greens | damien pyne | 1458 | 7 | -1 |
| 4 | nationals sa | rachel titley | 912 | 4.4 | 4.4 |
| 5 | total formal votes | total formal votes | 20807 | 96.8 | 0 |
| 6 | informal votes | informal votes | 697 | 3.2 | 0 |
| 7 | turnout | turnout | 21504 | 92.1 | -0.7 |
| 8 | liberal | adrian pederick | 13444 | 64.6 | -3.1 |
| 9 | labor | lou bailey | 7363 | 35.4 | 3.1 |
| 10 | liberal hold | liberal hold | swing | -3.1 | none | | | | party |
|---:|:--------|
| 0 | liberal |
| 1 | liberal | | [
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select venue where venue = 'balakovo' col : year | venue | winners | runner-up | 3rd place row 1 : 2005 | pardubice | poland (41 pts) | sweden (35 pts) | denmark (24 pts) row 2 : 2006 | rybnik | poland (41 pts) | sweden (27 pts) | denmark (26 pts) row 3 : 2007 | abensberg | poland (40 pts) | great britain (36 pts) | czech republic (30 pts) row 4 : 2008 | holsted | poland (40 pts) | denmark (39 pts) | sweden (38 pts) row 5 : 2009 | gorzow wlkp | poland (57 pts) | denmark (45 pts) | sweden (32 pts) row 6 : 2010 | rye house | denmark (51 pts) | sweden (37 pts) | poland (35 pts) row 7 : 2011 | balakovo | russia (61 pts) | denmark (31 pts) | ukraine (29+3 pts) row 8 : 2012 | gniezno | poland (61 pts) | australia (44 pts) | sweden (26 pts) | col : venue row 1 : balakovo | select venue where venue = 'balakovo' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & venue & winners & runner-up & 3rd place \\
\midrule
0 & 2005 & pardubice & poland (41 pts) & sweden (35 pts) & denmark (24 pts) \\
1 & 2006 & rybnik & poland (41 pts) & sweden (27 pts) & denmark (26 pts) \\
2 & 2007 & abensberg & poland (40 pts) & great britain (36 pts) & czech republic (30 pts) \\
3 & 2008 & holsted & poland (40 pts) & denmark (39 pts) & sweden (38 pts) \\
4 & 2009 & gorzow wlkp & poland (57 pts) & denmark (45 pts) & sweden (32 pts) \\
5 & 2010 & rye house & denmark (51 pts) & sweden (37 pts) & poland (35 pts) \\
6 & 2011 & balakovo & russia (61 pts) & denmark (31 pts) & ukraine (29+3 pts) \\
7 & 2012 & gniezno & poland (61 pts) & australia (44 pts) & sweden (26 pts) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& venue \\
\midrule
0 & balakovo \\
\bottomrule
\end{tabular}
| select venue where venue = 'balakovo' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>venue</th>
<th>winners</th>
<th>runner-up</th>
<th>3rd place</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2005</td>
<td>pardubice</td>
<td>poland (41 pts)</td>
<td>sweden (35 pts)</td>
<td>denmark (24 pts)</td>
</tr>
<tr>
<th>1</th>
<td>2006</td>
<td>rybnik</td>
<td>poland (41 pts)</td>
<td>sweden (27 pts)</td>
<td>denmark (26 pts)</td>
</tr>
<tr>
<th>2</th>
<td>2007</td>
<td>abensberg</td>
<td>poland (40 pts)</td>
<td>great britain (36 pts)</td>
<td>czech republic (30 pts)</td>
</tr>
<tr>
<th>3</th>
<td>2008</td>
<td>holsted</td>
<td>poland (40 pts)</td>
<td>denmark (39 pts)</td>
<td>sweden (38 pts)</td>
</tr>
<tr>
<th>4</th>
<td>2009</td>
<td>gorzow wlkp</td>
<td>poland (57 pts)</td>
<td>denmark (45 pts)</td>
<td>sweden (32 pts)</td>
</tr>
<tr>
<th>5</th>
<td>2010</td>
<td>rye house</td>
<td>denmark (51 pts)</td>
<td>sweden (37 pts)</td>
<td>poland (35 pts)</td>
</tr>
<tr>
<th>6</th>
<td>2011</td>
<td>balakovo</td>
<td>russia (61 pts)</td>
<td>denmark (31 pts)</td>
<td>ukraine (29+3 pts)</td>
</tr>
<tr>
<th>7</th>
<td>2012</td>
<td>gniezno</td>
<td>poland (61 pts)</td>
<td>australia (44 pts)</td>
<td>sweden (26 pts)</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>balakovo</td>
</tr>
</tbody>
</table> | select venue where venue = 'balakovo' <table_name> : table | | year | venue | winners | runner-up | 3rd place |
|---:|-------:|:------------|:-----------------|:-----------------------|:------------------------|
| 0 | 2005 | pardubice | poland (41 pts) | sweden (35 pts) | denmark (24 pts) |
| 1 | 2006 | rybnik | poland (41 pts) | sweden (27 pts) | denmark (26 pts) |
| 2 | 2007 | abensberg | poland (40 pts) | great britain (36 pts) | czech republic (30 pts) |
| 3 | 2008 | holsted | poland (40 pts) | denmark (39 pts) | sweden (38 pts) |
| 4 | 2009 | gorzow wlkp | poland (57 pts) | denmark (45 pts) | sweden (32 pts) |
| 5 | 2010 | rye house | denmark (51 pts) | sweden (37 pts) | poland (35 pts) |
| 6 | 2011 | balakovo | russia (61 pts) | denmark (31 pts) | ukraine (29+3 pts) |
| 7 | 2012 | gniezno | poland (61 pts) | australia (44 pts) | sweden (26 pts) | | | | venue |
|---:|:---------|
| 0 | balakovo | | [
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select count ( * ) where percentage = '1.9%' col : governorate | percentage | seats won | total seats row 1 : al-anbar | none | 0 | 29 row 2 : babil | 8.2% | 5 | 30 row 3 : baghdad | 5.4% | 3 | 57 row 4 : basra | 11.6% | 5 | 35 row 5 : dhi qar | 11.1% | 5 | 31 row 6 : diyala | none | 0 | 29 row 7 : karbala | 6.4% | 4 | 27 row 8 : maysan | 15.2% | 7 | 27 row 9 : al-muthanna | 9.3% | 5 | 26 row 10 : najaf | 14.8% | 7 | 28 row 11 : ninawa | 1.9% | 0 | 37 row 12 : al-qadisiyyah | 11.7% | 4 | 28 row 13 : salah ad-din | 2.9% | 1 | 28 row 14 : wassit | 10.0% | 6 | 28 row 15 : total | 6.6% | 52 | 440 | col : count ( "*" ) row 1 : 1 | select count ( * ) where percentage = '1.9%' <table_name> : table \begin{tabular}{lllll}
\toprule
& governorate & percentage & seats won & total seats \\
\midrule
0 & al-anbar & none & 0 & 29 \\
1 & babil & 8.2% & 5 & 30 \\
2 & baghdad & 5.4% & 3 & 57 \\
3 & basra & 11.6% & 5 & 35 \\
4 & dhi qar & 11.1% & 5 & 31 \\
5 & diyala & none & 0 & 29 \\
6 & karbala & 6.4% & 4 & 27 \\
7 & maysan & 15.2% & 7 & 27 \\
8 & al-muthanna & 9.3% & 5 & 26 \\
9 & najaf & 14.8% & 7 & 28 \\
10 & ninawa & 1.9% & 0 & 37 \\
11 & al-qadisiyyah & 11.7% & 4 & 28 \\
12 & salah ad-din & 2.9% & 1 & 28 \\
13 & wassit & 10.0% & 6 & 28 \\
14 & total & 6.6% & 52 & 440 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where percentage = '1.9%' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>governorate</th>
<th>percentage</th>
<th>seats won</th>
<th>total seats</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>al-anbar</td>
<td>none</td>
<td>0</td>
<td>29</td>
</tr>
<tr>
<th>1</th>
<td>babil</td>
<td>8.2%</td>
<td>5</td>
<td>30</td>
</tr>
<tr>
<th>2</th>
<td>baghdad</td>
<td>5.4%</td>
<td>3</td>
<td>57</td>
</tr>
<tr>
<th>3</th>
<td>basra</td>
<td>11.6%</td>
<td>5</td>
<td>35</td>
</tr>
<tr>
<th>4</th>
<td>dhi qar</td>
<td>11.1%</td>
<td>5</td>
<td>31</td>
</tr>
<tr>
<th>5</th>
<td>diyala</td>
<td>none</td>
<td>0</td>
<td>29</td>
</tr>
<tr>
<th>6</th>
<td>karbala</td>
<td>6.4%</td>
<td>4</td>
<td>27</td>
</tr>
<tr>
<th>7</th>
<td>maysan</td>
<td>15.2%</td>
<td>7</td>
<td>27</td>
</tr>
<tr>
<th>8</th>
<td>al-muthanna</td>
<td>9.3%</td>
<td>5</td>
<td>26</td>
</tr>
<tr>
<th>9</th>
<td>najaf</td>
<td>14.8%</td>
<td>7</td>
<td>28</td>
</tr>
<tr>
<th>10</th>
<td>ninawa</td>
<td>1.9%</td>
<td>0</td>
<td>37</td>
</tr>
<tr>
<th>11</th>
<td>al-qadisiyyah</td>
<td>11.7%</td>
<td>4</td>
<td>28</td>
</tr>
<tr>
<th>12</th>
<td>salah ad-din</td>
<td>2.9%</td>
<td>1</td>
<td>28</td>
</tr>
<tr>
<th>13</th>
<td>wassit</td>
<td>10.0%</td>
<td>6</td>
<td>28</td>
</tr>
<tr>
<th>14</th>
<td>total</td>
<td>6.6%</td>
<td>52</td>
<td>440</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 percentage = '1.9%' <table_name> : table | | governorate | percentage | seats won | total seats |
|---:|:--------------|:-------------|------------:|--------------:|
| 0 | al-anbar | none | 0 | 29 |
| 1 | babil | 8.2% | 5 | 30 |
| 2 | baghdad | 5.4% | 3 | 57 |
| 3 | basra | 11.6% | 5 | 35 |
| 4 | dhi qar | 11.1% | 5 | 31 |
| 5 | diyala | none | 0 | 29 |
| 6 | karbala | 6.4% | 4 | 27 |
| 7 | maysan | 15.2% | 7 | 27 |
| 8 | al-muthanna | 9.3% | 5 | 26 |
| 9 | najaf | 14.8% | 7 | 28 |
| 10 | ninawa | 1.9% | 0 | 37 |
| 11 | al-qadisiyyah | 11.7% | 4 | 28 |
| 12 | salah ad-din | 2.9% | 1 | 28 |
| 13 | wassit | 10.0% | 6 | 28 |
| 14 | total | 6.6% | 52 | 440 | | | | count ( "*" ) |
|---:|----------------:|
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select count ( * ) where # > 11 col : # | title | performer(s) | film | length row 1 : 1 | "once upon a dream" | emily osment | sleeping beauty | 3:32 row 2 : 2 | "that's how you know" | demi lovato | enchanted | 3:12 row 3 : 3 | "some day my prince will come" | ashley tisdale | snow white and the seven dwarfs | 3:30 row 4 : 4 | "colors of the wind" | vanessa hudgens | pocahontas | 3:58 row 5 : 5 | "reflection" | christina aguilera | mulan | 3:33 row 6 : 6 | "so this is love" | the cheetah girls | cinderella | 3:40 row 7 : 7 | "kiss the girl" | colbie caillat | the little mermaid | 3:16 row 8 : 8 | "it's not just make believe" | kari kimmel | ella enchanted | 3:06 row 9 : 9 | "under the sea" | raven-symone | the little mermaid | 3:15 row 10 : 10 | "ever ever after" | jordan pruitt | enchanted | 3:12 row 11 : 11 | "true to your heart" | keke palmer | mulan | 3:22 row 12 : 12 | "happy working song" | amy adams | enchanted | 2:09 row 13 : 13 | "part of your world" | original broadway cast | the little mermaid | 3:23 row 14 : 14 | "a dream is a wish your heart makes" | disney channel stars | cinderella | 3:46 | col : count ( "*" ) row 1 : 11 | select count ( * ) where # > 11 <table_name> : table \begin{tabular}{llllll}
\toprule
& # & title & performer(s) & film & length \\
\midrule
0 & 1 & "once upon a dream" & emily osment & sleeping beauty & 3:32 \\
1 & 2 & "that's how you know" & demi lovato & enchanted & 3:12 \\
2 & 3 & "some day my prince will come" & ashley tisdale & snow white and the seven dwarfs & 3:30 \\
3 & 4 & "colors of the wind" & vanessa hudgens & pocahontas & 3:58 \\
4 & 5 & "reflection" & christina aguilera & mulan & 3:33 \\
5 & 6 & "so this is love" & the cheetah girls & cinderella & 3:40 \\
6 & 7 & "kiss the girl" & colbie caillat & the little mermaid & 3:16 \\
7 & 8 & "it's not just make believe" & kari kimmel & ella enchanted & 3:06 \\
8 & 9 & "under the sea" & raven-symone & the little mermaid & 3:15 \\
9 & 10 & "ever ever after" & jordan pruitt & enchanted & 3:12 \\
10 & 11 & "true to your heart" & keke palmer & mulan & 3:22 \\
11 & 12 & "happy working song" & amy adams & enchanted & 2:09 \\
12 & 13 & "part of your world" & original broadway cast & the little mermaid & 3:23 \\
13 & 14 & "a dream is a wish your heart makes" & disney channel stars & cinderella & 3:46 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 11 \\
\bottomrule
\end{tabular}
| select count ( * ) where # > 11 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>title</th>
<th>performer(s)</th>
<th>film</th>
<th>length</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>"once upon a dream"</td>
<td>emily osment</td>
<td>sleeping beauty</td>
<td>3:32</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>"that's how you know"</td>
<td>demi lovato</td>
<td>enchanted</td>
<td>3:12</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>"some day my prince will come"</td>
<td>ashley tisdale</td>
<td>snow white and the seven dwarfs</td>
<td>3:30</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>"colors of the wind"</td>
<td>vanessa hudgens</td>
<td>pocahontas</td>
<td>3:58</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>"reflection"</td>
<td>christina aguilera</td>
<td>mulan</td>
<td>3:33</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>"so this is love"</td>
<td>the cheetah girls</td>
<td>cinderella</td>
<td>3:40</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>"kiss the girl"</td>
<td>colbie caillat</td>
<td>the little mermaid</td>
<td>3:16</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>"it's not just make believe"</td>
<td>kari kimmel</td>
<td>ella enchanted</td>
<td>3:06</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>"under the sea"</td>
<td>raven-symone</td>
<td>the little mermaid</td>
<td>3:15</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>"ever ever after"</td>
<td>jordan pruitt</td>
<td>enchanted</td>
<td>3:12</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>"true to your heart"</td>
<td>keke palmer</td>
<td>mulan</td>
<td>3:22</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>"happy working song"</td>
<td>amy adams</td>
<td>enchanted</td>
<td>2:09</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>"part of your world"</td>
<td>original broadway cast</td>
<td>the little mermaid</td>
<td>3:23</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>"a dream is a wish your heart makes"</td>
<td>disney channel stars</td>
<td>cinderella</td>
<td>3:46</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>11</td>
</tr>
</tbody>
</table> | select count ( * ) where # > 11 <table_name> : table | | # | title | performer(s) | film | length |
|---:|----:|:-------------------------------------|:-----------------------|:--------------------------------|:---------|
| 0 | 1 | "once upon a dream" | emily osment | sleeping beauty | 3:32 |
| 1 | 2 | "that's how you know" | demi lovato | enchanted | 3:12 |
| 2 | 3 | "some day my prince will come" | ashley tisdale | snow white and the seven dwarfs | 3:30 |
| 3 | 4 | "colors of the wind" | vanessa hudgens | pocahontas | 3:58 |
| 4 | 5 | "reflection" | christina aguilera | mulan | 3:33 |
| 5 | 6 | "so this is love" | the cheetah girls | cinderella | 3:40 |
| 6 | 7 | "kiss the girl" | colbie caillat | the little mermaid | 3:16 |
| 7 | 8 | "it's not just make believe" | kari kimmel | ella enchanted | 3:06 |
| 8 | 9 | "under the sea" | raven-symone | the little mermaid | 3:15 |
| 9 | 10 | "ever ever after" | jordan pruitt | enchanted | 3:12 |
| 10 | 11 | "true to your heart" | keke palmer | mulan | 3:22 |
| 11 | 12 | "happy working song" | amy adams | enchanted | 2:09 |
| 12 | 13 | "part of your world" | original broadway cast | the little mermaid | 3:23 |
| 13 | 14 | "a dream is a wish your heart makes" | disney channel stars | cinderella | 3:46 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 11 | | [
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select count ( * ) where notes = 'none' col : rank | name | nationality | time | notes | points row 1 : 1 | adam kszczot | poland | 1:46.50 | none | 12 row 2 : 2 | jeff lastennet | france | 1:46.70 | none | 11 row 3 : 3 | gareth warburton | great britain | 1:46.95 | sb | 10 row 4 : 4 | mario scapini | italy | 1:47.20 | pb | 9 row 5 : 5 | anis ananenka | belarus | 1:47.29 | none | 8 row 6 : 6 | oleh kayafa | ukraine | 1:47.42 | none | 7 row 7 : 7 | joni jaako | sweden | 1:47.61 | sb | 6 row 8 : 8 | robin schembera | germany | 1:47.79 | none | 5 row 9 : 9 | ivan tukhtachev | russia | 1:48.27 | sb | 4 row 10 : 10 | antonio manuel reina | spain | 1:48.56 | none | 3 row 11 : 11 | antonio rodrigues | portugal | 1:50.45 | none | 2 row 12 : 12 | milan kocourek | czech republic | 1:59.28 | none | 1 | col : count ( "*" ) row 1 : 8 | select count ( * ) where notes = 'none' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & name & nationality & time & notes & points \\
\midrule
0 & 1 & adam kszczot & poland & 1:46.50 & none & 12 \\
1 & 2 & jeff lastennet & france & 1:46.70 & none & 11 \\
2 & 3 & gareth warburton & great britain & 1:46.95 & sb & 10 \\
3 & 4 & mario scapini & italy & 1:47.20 & pb & 9 \\
4 & 5 & anis ananenka & belarus & 1:47.29 & none & 8 \\
5 & 6 & oleh kayafa & ukraine & 1:47.42 & none & 7 \\
6 & 7 & joni jaako & sweden & 1:47.61 & sb & 6 \\
7 & 8 & robin schembera & germany & 1:47.79 & none & 5 \\
8 & 9 & ivan tukhtachev & russia & 1:48.27 & sb & 4 \\
9 & 10 & antonio manuel reina & spain & 1:48.56 & none & 3 \\
10 & 11 & antonio rodrigues & portugal & 1:50.45 & none & 2 \\
11 & 12 & milan kocourek & czech republic & 1:59.28 & none & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 8 \\
\bottomrule
\end{tabular}
| select count ( * ) 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>time</th>
<th>notes</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>adam kszczot</td>
<td>poland</td>
<td>1:46.50</td>
<td>none</td>
<td>12</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>jeff lastennet</td>
<td>france</td>
<td>1:46.70</td>
<td>none</td>
<td>11</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>gareth warburton</td>
<td>great britain</td>
<td>1:46.95</td>
<td>sb</td>
<td>10</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>mario scapini</td>
<td>italy</td>
<td>1:47.20</td>
<td>pb</td>
<td>9</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>anis ananenka</td>
<td>belarus</td>
<td>1:47.29</td>
<td>none</td>
<td>8</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>oleh kayafa</td>
<td>ukraine</td>
<td>1:47.42</td>
<td>none</td>
<td>7</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>joni jaako</td>
<td>sweden</td>
<td>1:47.61</td>
<td>sb</td>
<td>6</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>robin schembera</td>
<td>germany</td>
<td>1:47.79</td>
<td>none</td>
<td>5</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>ivan tukhtachev</td>
<td>russia</td>
<td>1:48.27</td>
<td>sb</td>
<td>4</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>antonio manuel reina</td>
<td>spain</td>
<td>1:48.56</td>
<td>none</td>
<td>3</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>antonio rodrigues</td>
<td>portugal</td>
<td>1:50.45</td>
<td>none</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>milan kocourek</td>
<td>czech republic</td>
<td>1:59.28</td>
<td>none</td>
<td>1</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 notes = 'none' <table_name> : table | | rank | name | nationality | time | notes | points |
|---:|-------:|:---------------------|:---------------|:--------|:--------|---------:|
| 0 | 1 | adam kszczot | poland | 1:46.50 | none | 12 |
| 1 | 2 | jeff lastennet | france | 1:46.70 | none | 11 |
| 2 | 3 | gareth warburton | great britain | 1:46.95 | sb | 10 |
| 3 | 4 | mario scapini | italy | 1:47.20 | pb | 9 |
| 4 | 5 | anis ananenka | belarus | 1:47.29 | none | 8 |
| 5 | 6 | oleh kayafa | ukraine | 1:47.42 | none | 7 |
| 6 | 7 | joni jaako | sweden | 1:47.61 | sb | 6 |
| 7 | 8 | robin schembera | germany | 1:47.79 | none | 5 |
| 8 | 9 | ivan tukhtachev | russia | 1:48.27 | sb | 4 |
| 9 | 10 | antonio manuel reina | spain | 1:48.56 | none | 3 |
| 10 | 11 | antonio rodrigues | portugal | 1:50.45 | none | 2 |
| 11 | 12 | milan kocourek | czech republic | 1:59.28 | none | 1 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 8 | | [
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] |
select count ( * ) where 1975-1979 obverse = 541 col : value | diameter | composition | 1975-1979 obverse | 1975-1979 reverse | 1981- obverse | 1981- reverse row 1 : 1 seniti | 18 mm | bronze | maize | pig | maize | vanilla row 2 : 2 seniti | 21 mm | bronze | marrows | planned families food for all, six people holding hands | taro | planned families food for all, six people holding hands row 3 : 5 seniti | 19 mm | cupronickel | chicken with chicks | bananas | chicken with chicks | coconuts row 4 : 10 seniti | 24 mm | cupronickel | king | grazing cattle | king | bananas on tree row 5 : 20 seniti | 29 mm | cupronickel | king | bees and hive | king | yams row 6 : 50 seniti | 32-33 mm | cupronickel | king | fishes around a vortex | king | tomatoes | col : count ( "*" ) row 1 : 0 | select count ( * ) where 1975-1979 obverse = 541 <table_name> : table \begin{tabular}{llllllll}
\toprule
& value & diameter & composition & 1975-1979 obverse & 1975-1979 reverse & 1981- obverse & 1981- reverse \\
\midrule
0 & 1 seniti & 18 mm & bronze & maize & pig & maize & vanilla \\
1 & 2 seniti & 21 mm & bronze & marrows & planned families food for all, six people holding hands & taro & planned families food for all, six people holding hands \\
2 & 5 seniti & 19 mm & cupronickel & chicken with chicks & bananas & chicken with chicks & coconuts \\
3 & 10 seniti & 24 mm & cupronickel & king & grazing cattle & king & bananas on tree \\
4 & 20 seniti & 29 mm & cupronickel & king & bees and hive & king & yams \\
5 & 50 seniti & 32-33 mm & cupronickel & king & fishes around a vortex & king & tomatoes \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where 1975-1979 obverse = 541 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>value</th>
<th>diameter</th>
<th>composition</th>
<th>1975-1979 obverse</th>
<th>1975-1979 reverse</th>
<th>1981- obverse</th>
<th>1981- reverse</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1 seniti</td>
<td>18 mm</td>
<td>bronze</td>
<td>maize</td>
<td>pig</td>
<td>maize</td>
<td>vanilla</td>
</tr>
<tr>
<th>1</th>
<td>2 seniti</td>
<td>21 mm</td>
<td>bronze</td>
<td>marrows</td>
<td>planned families food for all, six people holding hands</td>
<td>taro</td>
<td>planned families food for all, six people holding hands</td>
</tr>
<tr>
<th>2</th>
<td>5 seniti</td>
<td>19 mm</td>
<td>cupronickel</td>
<td>chicken with chicks</td>
<td>bananas</td>
<td>chicken with chicks</td>
<td>coconuts</td>
</tr>
<tr>
<th>3</th>
<td>10 seniti</td>
<td>24 mm</td>
<td>cupronickel</td>
<td>king</td>
<td>grazing cattle</td>
<td>king</td>
<td>bananas on tree</td>
</tr>
<tr>
<th>4</th>
<td>20 seniti</td>
<td>29 mm</td>
<td>cupronickel</td>
<td>king</td>
<td>bees and hive</td>
<td>king</td>
<td>yams</td>
</tr>
<tr>
<th>5</th>
<td>50 seniti</td>
<td>32-33 mm</td>
<td>cupronickel</td>
<td>king</td>
<td>fishes around a vortex</td>
<td>king</td>
<td>tomatoes</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 1975-1979 obverse = 541 <table_name> : table | | value | diameter | composition | 1975-1979 obverse | 1975-1979 reverse | 1981- obverse | 1981- reverse |
|---:|:----------|:-----------|:--------------|:--------------------|:--------------------------------------------------------|:--------------------|:--------------------------------------------------------|
| 0 | 1 seniti | 18 mm | bronze | maize | pig | maize | vanilla |
| 1 | 2 seniti | 21 mm | bronze | marrows | planned families food for all, six people holding hands | taro | planned families food for all, six people holding hands |
| 2 | 5 seniti | 19 mm | cupronickel | chicken with chicks | bananas | chicken with chicks | coconuts |
| 3 | 10 seniti | 24 mm | cupronickel | king | grazing cattle | king | bananas on tree |
| 4 | 20 seniti | 29 mm | cupronickel | king | bees and hive | king | yams |
| 5 | 50 seniti | 32-33 mm | cupronickel | king | fishes around a vortex | king | tomatoes | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select venue where venue = 'athens, greece' 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 : venue row 1 : athens, greece | select venue where venue = 'athens, greece' <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
& venue \\
\midrule
0 & athens, greece \\
\bottomrule
\end{tabular}
| select venue where venue = 'athens, greece' <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>venue</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>athens, greece</td>
</tr>
</tbody>
</table> | select venue where venue = 'athens, greece' <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 | | | | venue |
|---:|:---------------|
| 0 | athens, greece | | [
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select count ( * ) where result = 1964 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 : count ( "*" ) row 1 : 0 | select count ( * ) where result = 1964 <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
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where result = 1964 <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>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where result = 1964 <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 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select max ( total ) where silver > 0 col : rank | nation | gold | silver | bronze | total row 1 : 1 | china (chn) | 127 | 63 | 33 | 223 row 2 : 2 | japan (jpn) | 46 | 56 | 77 | 179 row 3 : 3 | south korea (kor) | 32 | 48 | 65 | 145 row 4 : 4 | chinese taipei (tpe) | 12 | 34 | 26 | 72 row 5 : 5 | macau (mac) | 11 | 16 | 17 | 44 row 6 : 6 | north korea (prk) | 6 | 10 | 20 | 36 row 7 : 7 | hong kong (hkg) | 2 | 2 | 9 | 13 row 8 : 8 | mongolia (mgl) | 1 | 1 | 6 | 8 row 9 : 9 | guam (gum) | 0 | 0 | 1 | 1 row 10 : total | total | 237 | 230 | 254 | 721 | col : max ( "total" ) row 1 : 8 | select max ( total ) where silver > 0 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & china (chn) & 127 & 63 & 33 & 223 \\
1 & 2 & japan (jpn) & 46 & 56 & 77 & 179 \\
2 & 3 & south korea (kor) & 32 & 48 & 65 & 145 \\
3 & 4 & chinese taipei (tpe) & 12 & 34 & 26 & 72 \\
4 & 5 & macau (mac) & 11 & 16 & 17 & 44 \\
5 & 6 & north korea (prk) & 6 & 10 & 20 & 36 \\
6 & 7 & hong kong (hkg) & 2 & 2 & 9 & 13 \\
7 & 8 & mongolia (mgl) & 1 & 1 & 6 & 8 \\
8 & 9 & guam (gum) & 0 & 0 & 1 & 1 \\
9 & total & total & 237 & 230 & 254 & 721 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& max ( "total" ) \\
\midrule
0 & 8 \\
\bottomrule
\end{tabular}
| select max ( total ) where silver > 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 (chn)</td>
<td>127</td>
<td>63</td>
<td>33</td>
<td>223</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>japan (jpn)</td>
<td>46</td>
<td>56</td>
<td>77</td>
<td>179</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>south korea (kor)</td>
<td>32</td>
<td>48</td>
<td>65</td>
<td>145</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>chinese taipei (tpe)</td>
<td>12</td>
<td>34</td>
<td>26</td>
<td>72</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>macau (mac)</td>
<td>11</td>
<td>16</td>
<td>17</td>
<td>44</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>north korea (prk)</td>
<td>6</td>
<td>10</td>
<td>20</td>
<td>36</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>hong kong (hkg)</td>
<td>2</td>
<td>2</td>
<td>9</td>
<td>13</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>mongolia (mgl)</td>
<td>1</td>
<td>1</td>
<td>6</td>
<td>8</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>guam (gum)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>total</td>
<td>total</td>
<td>237</td>
<td>230</td>
<td>254</td>
<td>721</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>max ( "total" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>8</td>
</tr>
</tbody>
</table> | select max ( total ) where silver > 0 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:---------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | china (chn) | 127 | 63 | 33 | 223 |
| 1 | 2 | japan (jpn) | 46 | 56 | 77 | 179 |
| 2 | 3 | south korea (kor) | 32 | 48 | 65 | 145 |
| 3 | 4 | chinese taipei (tpe) | 12 | 34 | 26 | 72 |
| 4 | 5 | macau (mac) | 11 | 16 | 17 | 44 |
| 5 | 6 | north korea (prk) | 6 | 10 | 20 | 36 |
| 6 | 7 | hong kong (hkg) | 2 | 2 | 9 | 13 |
| 7 | 8 | mongolia (mgl) | 1 | 1 | 6 | 8 |
| 8 | 9 | guam (gum) | 0 | 0 | 1 | 1 |
| 9 | total | total | 237 | 230 | 254 | 721 | | | | max ( "total" ) |
|---:|------------------:|
| 0 | 8 | | [
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select title where year = 1988 and title = '"dreams in the empty city"' col : year | title | lead vocalist | aria chart position | album row 1 : 1985 | "time out (for serious fun)" | sandi chick | none | none row 2 : 1985 | "sweat it out" | peter blakeley | none | none row 3 : 1987 | "rhymes" | john kenny | none | tales of the city row 4 : 1987 | "new groove" | john kenny | none | tales of the city row 5 : 1988 | "what's it gonna be" | john kenny | none | tales of the city row 6 : 1988 | "jump" | wendy matthews | none | tales of the city row 7 : 1988 | "dreams in the empty city" | john kenny | none | tales of the city row 8 : 1988 | "boogietron" | ensemble | none | tales of the city row 9 : 1991 | "ain't no sunshine" | deni hines | 5 | form 1 planet row 10 : 1992 | "that word (l.o.v.e.)" | deni hines | 4 | form 1 planet row 11 : 1992 | "it's not over" | deni hines | 15 | form 1 planet row 12 : 1992 | "stronger together" | doug williams | none | form 1 planet row 13 : 1992 | "love's gonna bring you home" | doug williams | none | form 1 planet row 14 : 1993 | "form one planet" | eric sebastian | none | form 1 planet row 15 : 2002 | "all i want is you" | jeremy gregory | 41 | rockies 3 row 16 : 2002 | "i ain't playin'" | roxane lebrasse | 79 | rockies 3 row 17 : 2002 | "police woman 2002" (with groove quantize) | none | none | none | col : title row 1 : "dreams in the empty city" | select title where year = 1988 and title = '"dreams in the empty city"' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & title & lead vocalist & aria chart position & album \\
\midrule
0 & 1985 & "time out (for serious fun)" & sandi chick & none & none \\
1 & 1985 & "sweat it out" & peter blakeley & none & none \\
2 & 1987 & "rhymes" & john kenny & none & tales of the city \\
3 & 1987 & "new groove" & john kenny & none & tales of the city \\
4 & 1988 & "what's it gonna be" & john kenny & none & tales of the city \\
5 & 1988 & "jump" & wendy matthews & none & tales of the city \\
6 & 1988 & "dreams in the empty city" & john kenny & none & tales of the city \\
7 & 1988 & "boogietron" & ensemble & none & tales of the city \\
8 & 1991 & "ain't no sunshine" & deni hines & 5 & form 1 planet \\
9 & 1992 & "that word (l.o.v.e.)" & deni hines & 4 & form 1 planet \\
10 & 1992 & "it's not over" & deni hines & 15 & form 1 planet \\
11 & 1992 & "stronger together" & doug williams & none & form 1 planet \\
12 & 1992 & "love's gonna bring you home" & doug williams & none & form 1 planet \\
13 & 1993 & "form one planet" & eric sebastian & none & form 1 planet \\
14 & 2002 & "all i want is you" & jeremy gregory & 41 & rockies 3 \\
15 & 2002 & "i ain't playin'" & roxane lebrasse & 79 & rockies 3 \\
16 & 2002 & "police woman 2002" (with groove quantize) & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& title \\
\midrule
0 & "dreams in the empty city" \\
\bottomrule
\end{tabular}
| select title where year = 1988 and title = '"dreams in the empty city"' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>lead vocalist</th>
<th>aria chart position</th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1985</td>
<td>"time out (for serious fun)"</td>
<td>sandi chick</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1985</td>
<td>"sweat it out"</td>
<td>peter blakeley</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1987</td>
<td>"rhymes"</td>
<td>john kenny</td>
<td>none</td>
<td>tales of the city</td>
</tr>
<tr>
<th>3</th>
<td>1987</td>
<td>"new groove"</td>
<td>john kenny</td>
<td>none</td>
<td>tales of the city</td>
</tr>
<tr>
<th>4</th>
<td>1988</td>
<td>"what's it gonna be"</td>
<td>john kenny</td>
<td>none</td>
<td>tales of the city</td>
</tr>
<tr>
<th>5</th>
<td>1988</td>
<td>"jump"</td>
<td>wendy matthews</td>
<td>none</td>
<td>tales of the city</td>
</tr>
<tr>
<th>6</th>
<td>1988</td>
<td>"dreams in the empty city"</td>
<td>john kenny</td>
<td>none</td>
<td>tales of the city</td>
</tr>
<tr>
<th>7</th>
<td>1988</td>
<td>"boogietron"</td>
<td>ensemble</td>
<td>none</td>
<td>tales of the city</td>
</tr>
<tr>
<th>8</th>
<td>1991</td>
<td>"ain't no sunshine"</td>
<td>deni hines</td>
<td>5</td>
<td>form 1 planet</td>
</tr>
<tr>
<th>9</th>
<td>1992</td>
<td>"that word (l.o.v.e.)"</td>
<td>deni hines</td>
<td>4</td>
<td>form 1 planet</td>
</tr>
<tr>
<th>10</th>
<td>1992</td>
<td>"it's not over"</td>
<td>deni hines</td>
<td>15</td>
<td>form 1 planet</td>
</tr>
<tr>
<th>11</th>
<td>1992</td>
<td>"stronger together"</td>
<td>doug williams</td>
<td>none</td>
<td>form 1 planet</td>
</tr>
<tr>
<th>12</th>
<td>1992</td>
<td>"love's gonna bring you home"</td>
<td>doug williams</td>
<td>none</td>
<td>form 1 planet</td>
</tr>
<tr>
<th>13</th>
<td>1993</td>
<td>"form one planet"</td>
<td>eric sebastian</td>
<td>none</td>
<td>form 1 planet</td>
</tr>
<tr>
<th>14</th>
<td>2002</td>
<td>"all i want is you"</td>
<td>jeremy gregory</td>
<td>41</td>
<td>rockies 3</td>
</tr>
<tr>
<th>15</th>
<td>2002</td>
<td>"i ain't playin'"</td>
<td>roxane lebrasse</td>
<td>79</td>
<td>rockies 3</td>
</tr>
<tr>
<th>16</th>
<td>2002</td>
<td>"police woman 2002" (with groove quantize)</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>title</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>"dreams in the empty city"</td>
</tr>
</tbody>
</table> | select title where year = 1988 and title = '"dreams in the empty city"' <table_name> : table | | year | title | lead vocalist | aria chart position | album |
|---:|-------:|:-------------------------------------------|:----------------|:----------------------|:------------------|
| 0 | 1985 | "time out (for serious fun)" | sandi chick | none | none |
| 1 | 1985 | "sweat it out" | peter blakeley | none | none |
| 2 | 1987 | "rhymes" | john kenny | none | tales of the city |
| 3 | 1987 | "new groove" | john kenny | none | tales of the city |
| 4 | 1988 | "what's it gonna be" | john kenny | none | tales of the city |
| 5 | 1988 | "jump" | wendy matthews | none | tales of the city |
| 6 | 1988 | "dreams in the empty city" | john kenny | none | tales of the city |
| 7 | 1988 | "boogietron" | ensemble | none | tales of the city |
| 8 | 1991 | "ain't no sunshine" | deni hines | 5 | form 1 planet |
| 9 | 1992 | "that word (l.o.v.e.)" | deni hines | 4 | form 1 planet |
| 10 | 1992 | "it's not over" | deni hines | 15 | form 1 planet |
| 11 | 1992 | "stronger together" | doug williams | none | form 1 planet |
| 12 | 1992 | "love's gonna bring you home" | doug williams | none | form 1 planet |
| 13 | 1993 | "form one planet" | eric sebastian | none | form 1 planet |
| 14 | 2002 | "all i want is you" | jeremy gregory | 41 | rockies 3 |
| 15 | 2002 | "i ain't playin'" | roxane lebrasse | 79 | rockies 3 |
| 16 | 2002 | "police woman 2002" (with groove quantize) | none | none | none | | | | title |
|---:|:---------------------------|
| 0 | "dreams in the empty city" | | [
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select date where # = 1 col : # | date | venue | opponent | score | result | competition row 1 : 1 | 2005-11-16 00:00:00 | tehelne pole, bratislava, slovakia | spain | 1-0 | 1-1 | 2006 fifa world cup play-offs row 2 : 2 | 2006-05-20 00:00:00 | stadion antona malatinskeho, trnava, slovakia | belgium | 1-0 | 1-1 | friendly row 3 : 3 | 2007-10-13 00:00:00 | stadion zimny, dubnica, slovakia | san marino | 5-0 | 7-0 | uefa euro 2008 qualifying row 4 : 4 | 2007-11-21 00:00:00 | stadio olimpico, serravalle, san marino | san marino | 0-2 | 0-5 | uefa euro 2008 qualifying row 5 : 5 | 2009-09-09 00:00:00 | windsor park, belfast, northern ireland | northern ireland | 0-2 | 0-2 | 2010 fifa world cup qualification row 6 : 6 | 2010-09-03 00:00:00 | pasienky, bratislava, slovakia | macedonia | 1-0 | 1-0 | uefa euro 2012 qualification row 7 : 7 | 2011-03-29 00:00:00 | stadion antona malatinskeho, trnava, slovakia | denmark | 1-1 | 1-2 | friendly | col : date row 1 : 2005-11-16 00:00:00 | select date where # = 1 <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 2005-11-16 00:00:00 & tehelne pole, bratislava, slovakia & spain & 1-0 & 1-1 & 2006 fifa world cup play-offs \\
1 & 2 & 2006-05-20 00:00:00 & stadion antona malatinskeho, trnava, slovakia & belgium & 1-0 & 1-1 & friendly \\
2 & 3 & 2007-10-13 00:00:00 & stadion zimny, dubnica, slovakia & san marino & 5-0 & 7-0 & uefa euro 2008 qualifying \\
3 & 4 & 2007-11-21 00:00:00 & stadio olimpico, serravalle, san marino & san marino & 0-2 & 0-5 & uefa euro 2008 qualifying \\
4 & 5 & 2009-09-09 00:00:00 & windsor park, belfast, northern ireland & northern ireland & 0-2 & 0-2 & 2010 fifa world cup qualification \\
5 & 6 & 2010-09-03 00:00:00 & pasienky, bratislava, slovakia & macedonia & 1-0 & 1-0 & uefa euro 2012 qualification \\
6 & 7 & 2011-03-29 00:00:00 & stadion antona malatinskeho, trnava, slovakia & denmark & 1-1 & 1-2 & friendly \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& date \\
\midrule
0 & 2005-11-16 00:00:00 \\
\bottomrule
\end{tabular}
| select date 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>2005-11-16 00:00:00</td>
<td>tehelne pole, bratislava, slovakia</td>
<td>spain</td>
<td>1-0</td>
<td>1-1</td>
<td>2006 fifa world cup play-offs</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2006-05-20 00:00:00</td>
<td>stadion antona malatinskeho, trnava, slovakia</td>
<td>belgium</td>
<td>1-0</td>
<td>1-1</td>
<td>friendly</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2007-10-13 00:00:00</td>
<td>stadion zimny, dubnica, slovakia</td>
<td>san marino</td>
<td>5-0</td>
<td>7-0</td>
<td>uefa euro 2008 qualifying</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2007-11-21 00:00:00</td>
<td>stadio olimpico, serravalle, san marino</td>
<td>san marino</td>
<td>0-2</td>
<td>0-5</td>
<td>uefa euro 2008 qualifying</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2009-09-09 00:00:00</td>
<td>windsor park, belfast, northern ireland</td>
<td>northern ireland</td>
<td>0-2</td>
<td>0-2</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2010-09-03 00:00:00</td>
<td>pasienky, bratislava, slovakia</td>
<td>macedonia</td>
<td>1-0</td>
<td>1-0</td>
<td>uefa euro 2012 qualification</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2011-03-29 00:00:00</td>
<td>stadion antona malatinskeho, trnava, slovakia</td>
<td>denmark</td>
<td>1-1</td>
<td>1-2</td>
<td>friendly</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>2005-11-16 00:00:00</td>
</tr>
</tbody>
</table> | select date where # = 1 <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:----------------------------------------------|:-----------------|:--------|:---------|:----------------------------------|
| 0 | 1 | 2005-11-16 00:00:00 | tehelne pole, bratislava, slovakia | spain | 1-0 | 1-1 | 2006 fifa world cup play-offs |
| 1 | 2 | 2006-05-20 00:00:00 | stadion antona malatinskeho, trnava, slovakia | belgium | 1-0 | 1-1 | friendly |
| 2 | 3 | 2007-10-13 00:00:00 | stadion zimny, dubnica, slovakia | san marino | 5-0 | 7-0 | uefa euro 2008 qualifying |
| 3 | 4 | 2007-11-21 00:00:00 | stadio olimpico, serravalle, san marino | san marino | 0-2 | 0-5 | uefa euro 2008 qualifying |
| 4 | 5 | 2009-09-09 00:00:00 | windsor park, belfast, northern ireland | northern ireland | 0-2 | 0-2 | 2010 fifa world cup qualification |
| 5 | 6 | 2010-09-03 00:00:00 | pasienky, bratislava, slovakia | macedonia | 1-0 | 1-0 | uefa euro 2012 qualification |
| 6 | 7 | 2011-03-29 00:00:00 | stadion antona malatinskeho, trnava, slovakia | denmark | 1-1 | 1-2 | friendly | | | | date |
|---:|:--------------------|
| 0 | 2005-11-16 00:00:00 | | [
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] |
select sheriff where start of term = 1868 col : sheriff | start of term row 1 : josiah hobart | 1683 row 2 : john mulford | 1701 row 3 : hugh gray | 1702 row 4 : john brush | 1710 row 5 : daniel youngs | 1718 row 6 : samuel dayton | 1723 row 7 : william sell | 1728 row 8 : joseph smith | 1730 row 9 : david corrie | 1731 row 10 : jacob conklin | 1734 row 11 : thomas higbe | 1740 row 12 : james muirson | 1774 row 13 : thomas wickes | 1785 row 14 : silas halsey | 1787 row 15 : thomas wickes | 1791 row 16 : phinaes carll | 1799 row 17 : josiah reeve | 1803 row 18 : phinaes smith | 1807 row 19 : josiah reeve | 1808 row 20 : benjamin brewster | 1810 row 21 : josiah reeve | 1811 row 22 : benjamin brewster | 1812 row 23 : josiah reeve | 1813 row 24 : nathaniel conklin | 1814 row 25 : josiah reeve | 1815 row 26 : samuel carll | 1819 row 27 : abraham gardiner | 1821 row 28 : samuel smith | 1826 row 29 : abraham gardiner | 1829 row 30 : richard smith | 1832 row 31 : silas horton | 1835 row 32 : samuel miller | 1838 row 33 : david brush | 1841 row 34 : henry penny | 1844 row 35 : david rose | 1847 row 36 : john clark | 1850 row 37 : samuel phillips | 1855 row 38 : george carman | 1856 row 39 : stephen wilson | 1859 row 40 : daniel osborn | 1862 row 41 : george smith | 1868 row 42 : j. henry perkins | 1871 row 43 : egbert lewis | 1874 row 44 : george cooper | 1877 row 45 : robert petty | 1888 row 46 : selah brewster | 1883 row 47 : henry halsey | 1886 row 48 : robert petty | 1888 row 49 : a. m. darling | 1891 row 50 : benjamin wood | 1897 row 51 : j. sheridan wells | 1900 row 52 : henry preston | 1903 row 53 : john wells | 1906 row 54 : charles platt | 1909 row 55 : melville brush | 1912 row 56 : d. henry brown | 1913 row 57 : charles o'dell | 1914 row 58 : amza biggs | 1917 row 59 : john kelly | 1920 row 60 : amza biggs | 1923 row 61 : burton howe | 1926 row 62 : ellis taylor | 1929 row 63 : joseph warta | 1932 row 64 : william mccollom | 1935 row 65 : jacob dreyer | 1938 row 66 : john levy | 1941 row 67 : william mccollom | 1942 row 68 : charles dominy | 1957 row 69 : frank gross | 1962 row 70 : philip corso | 1970 row 71 : donald dilworth | 1976 row 72 : john finnerty | 1977 row 73 : eugene dooley | 1986 row 74 : patrick mahoney | 1990 row 75 : alfred c. tisch | 2002 row 76 : vincent f. demarco | 2006 | col : sheriff row 1 : george smith | select sheriff where start of term = 1868 <table_name> : table \begin{tabular}{lll}
\toprule
& sheriff & start of term \\
\midrule
0 & josiah hobart & 1683 \\
1 & john mulford & 1701 \\
2 & hugh gray & 1702 \\
3 & john brush & 1710 \\
4 & daniel youngs & 1718 \\
5 & samuel dayton & 1723 \\
6 & william sell & 1728 \\
7 & joseph smith & 1730 \\
8 & david corrie & 1731 \\
9 & jacob conklin & 1734 \\
10 & thomas higbe & 1740 \\
11 & james muirson & 1774 \\
12 & thomas wickes & 1785 \\
13 & silas halsey & 1787 \\
14 & thomas wickes & 1791 \\
15 & phinaes carll & 1799 \\
16 & josiah reeve & 1803 \\
17 & phinaes smith & 1807 \\
18 & josiah reeve & 1808 \\
19 & benjamin brewster & 1810 \\
20 & josiah reeve & 1811 \\
21 & benjamin brewster & 1812 \\
22 & josiah reeve & 1813 \\
23 & nathaniel conklin & 1814 \\
24 & josiah reeve & 1815 \\
25 & samuel carll & 1819 \\
26 & abraham gardiner & 1821 \\
27 & samuel smith & 1826 \\
28 & abraham gardiner & 1829 \\
29 & richard smith & 1832 \\
30 & silas horton & 1835 \\
31 & samuel miller & 1838 \\
32 & david brush & 1841 \\
33 & henry penny & 1844 \\
34 & david rose & 1847 \\
35 & john clark & 1850 \\
36 & samuel phillips & 1855 \\
37 & george carman & 1856 \\
38 & stephen wilson & 1859 \\
39 & daniel osborn & 1862 \\
40 & george smith & 1868 \\
41 & j. henry perkins & 1871 \\
42 & egbert lewis & 1874 \\
43 & george cooper & 1877 \\
44 & robert petty & 1888 \\
45 & selah brewster & 1883 \\
46 & henry halsey & 1886 \\
47 & robert petty & 1888 \\
48 & a. m. darling & 1891 \\
49 & benjamin wood & 1897 \\
50 & j. sheridan wells & 1900 \\
51 & henry preston & 1903 \\
52 & john wells & 1906 \\
53 & charles platt & 1909 \\
54 & melville brush & 1912 \\
55 & d. henry brown & 1913 \\
56 & charles o'dell & 1914 \\
57 & amza biggs & 1917 \\
58 & john kelly & 1920 \\
59 & amza biggs & 1923 \\
60 & burton howe & 1926 \\
61 & ellis taylor & 1929 \\
62 & joseph warta & 1932 \\
63 & william mccollom & 1935 \\
64 & jacob dreyer & 1938 \\
65 & john levy & 1941 \\
66 & william mccollom & 1942 \\
67 & charles dominy & 1957 \\
68 & frank gross & 1962 \\
69 & philip corso & 1970 \\
70 & donald dilworth & 1976 \\
71 & john finnerty & 1977 \\
72 & eugene dooley & 1986 \\
73 & patrick mahoney & 1990 \\
74 & alfred c. tisch & 2002 \\
75 & vincent f. demarco & 2006 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& sheriff \\
\midrule
0 & george smith \\
\bottomrule
\end{tabular}
| select sheriff where start of term = 1868 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>sheriff</th>
<th>start of term</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>josiah hobart</td>
<td>1683</td>
</tr>
<tr>
<th>1</th>
<td>john mulford</td>
<td>1701</td>
</tr>
<tr>
<th>2</th>
<td>hugh gray</td>
<td>1702</td>
</tr>
<tr>
<th>3</th>
<td>john brush</td>
<td>1710</td>
</tr>
<tr>
<th>4</th>
<td>daniel youngs</td>
<td>1718</td>
</tr>
<tr>
<th>5</th>
<td>samuel dayton</td>
<td>1723</td>
</tr>
<tr>
<th>6</th>
<td>william sell</td>
<td>1728</td>
</tr>
<tr>
<th>7</th>
<td>joseph smith</td>
<td>1730</td>
</tr>
<tr>
<th>8</th>
<td>david corrie</td>
<td>1731</td>
</tr>
<tr>
<th>9</th>
<td>jacob conklin</td>
<td>1734</td>
</tr>
<tr>
<th>10</th>
<td>thomas higbe</td>
<td>1740</td>
</tr>
<tr>
<th>11</th>
<td>james muirson</td>
<td>1774</td>
</tr>
<tr>
<th>12</th>
<td>thomas wickes</td>
<td>1785</td>
</tr>
<tr>
<th>13</th>
<td>silas halsey</td>
<td>1787</td>
</tr>
<tr>
<th>14</th>
<td>thomas wickes</td>
<td>1791</td>
</tr>
<tr>
<th>15</th>
<td>phinaes carll</td>
<td>1799</td>
</tr>
<tr>
<th>16</th>
<td>josiah reeve</td>
<td>1803</td>
</tr>
<tr>
<th>17</th>
<td>phinaes smith</td>
<td>1807</td>
</tr>
<tr>
<th>18</th>
<td>josiah reeve</td>
<td>1808</td>
</tr>
<tr>
<th>19</th>
<td>benjamin brewster</td>
<td>1810</td>
</tr>
<tr>
<th>20</th>
<td>josiah reeve</td>
<td>1811</td>
</tr>
<tr>
<th>21</th>
<td>benjamin brewster</td>
<td>1812</td>
</tr>
<tr>
<th>22</th>
<td>josiah reeve</td>
<td>1813</td>
</tr>
<tr>
<th>23</th>
<td>nathaniel conklin</td>
<td>1814</td>
</tr>
<tr>
<th>24</th>
<td>josiah reeve</td>
<td>1815</td>
</tr>
<tr>
<th>25</th>
<td>samuel carll</td>
<td>1819</td>
</tr>
<tr>
<th>26</th>
<td>abraham gardiner</td>
<td>1821</td>
</tr>
<tr>
<th>27</th>
<td>samuel smith</td>
<td>1826</td>
</tr>
<tr>
<th>28</th>
<td>abraham gardiner</td>
<td>1829</td>
</tr>
<tr>
<th>29</th>
<td>richard smith</td>
<td>1832</td>
</tr>
<tr>
<th>30</th>
<td>silas horton</td>
<td>1835</td>
</tr>
<tr>
<th>31</th>
<td>samuel miller</td>
<td>1838</td>
</tr>
<tr>
<th>32</th>
<td>david brush</td>
<td>1841</td>
</tr>
<tr>
<th>33</th>
<td>henry penny</td>
<td>1844</td>
</tr>
<tr>
<th>34</th>
<td>david rose</td>
<td>1847</td>
</tr>
<tr>
<th>35</th>
<td>john clark</td>
<td>1850</td>
</tr>
<tr>
<th>36</th>
<td>samuel phillips</td>
<td>1855</td>
</tr>
<tr>
<th>37</th>
<td>george carman</td>
<td>1856</td>
</tr>
<tr>
<th>38</th>
<td>stephen wilson</td>
<td>1859</td>
</tr>
<tr>
<th>39</th>
<td>daniel osborn</td>
<td>1862</td>
</tr>
<tr>
<th>40</th>
<td>george smith</td>
<td>1868</td>
</tr>
<tr>
<th>41</th>
<td>j. henry perkins</td>
<td>1871</td>
</tr>
<tr>
<th>42</th>
<td>egbert lewis</td>
<td>1874</td>
</tr>
<tr>
<th>43</th>
<td>george cooper</td>
<td>1877</td>
</tr>
<tr>
<th>44</th>
<td>robert petty</td>
<td>1888</td>
</tr>
<tr>
<th>45</th>
<td>selah brewster</td>
<td>1883</td>
</tr>
<tr>
<th>46</th>
<td>henry halsey</td>
<td>1886</td>
</tr>
<tr>
<th>47</th>
<td>robert petty</td>
<td>1888</td>
</tr>
<tr>
<th>48</th>
<td>a. m. darling</td>
<td>1891</td>
</tr>
<tr>
<th>49</th>
<td>benjamin wood</td>
<td>1897</td>
</tr>
<tr>
<th>50</th>
<td>j. sheridan wells</td>
<td>1900</td>
</tr>
<tr>
<th>51</th>
<td>henry preston</td>
<td>1903</td>
</tr>
<tr>
<th>52</th>
<td>john wells</td>
<td>1906</td>
</tr>
<tr>
<th>53</th>
<td>charles platt</td>
<td>1909</td>
</tr>
<tr>
<th>54</th>
<td>melville brush</td>
<td>1912</td>
</tr>
<tr>
<th>55</th>
<td>d. henry brown</td>
<td>1913</td>
</tr>
<tr>
<th>56</th>
<td>charles o'dell</td>
<td>1914</td>
</tr>
<tr>
<th>57</th>
<td>amza biggs</td>
<td>1917</td>
</tr>
<tr>
<th>58</th>
<td>john kelly</td>
<td>1920</td>
</tr>
<tr>
<th>59</th>
<td>amza biggs</td>
<td>1923</td>
</tr>
<tr>
<th>60</th>
<td>burton howe</td>
<td>1926</td>
</tr>
<tr>
<th>61</th>
<td>ellis taylor</td>
<td>1929</td>
</tr>
<tr>
<th>62</th>
<td>joseph warta</td>
<td>1932</td>
</tr>
<tr>
<th>63</th>
<td>william mccollom</td>
<td>1935</td>
</tr>
<tr>
<th>64</th>
<td>jacob dreyer</td>
<td>1938</td>
</tr>
<tr>
<th>65</th>
<td>john levy</td>
<td>1941</td>
</tr>
<tr>
<th>66</th>
<td>william mccollom</td>
<td>1942</td>
</tr>
<tr>
<th>67</th>
<td>charles dominy</td>
<td>1957</td>
</tr>
<tr>
<th>68</th>
<td>frank gross</td>
<td>1962</td>
</tr>
<tr>
<th>69</th>
<td>philip corso</td>
<td>1970</td>
</tr>
<tr>
<th>70</th>
<td>donald dilworth</td>
<td>1976</td>
</tr>
<tr>
<th>71</th>
<td>john finnerty</td>
<td>1977</td>
</tr>
<tr>
<th>72</th>
<td>eugene dooley</td>
<td>1986</td>
</tr>
<tr>
<th>73</th>
<td>patrick mahoney</td>
<td>1990</td>
</tr>
<tr>
<th>74</th>
<td>alfred c. tisch</td>
<td>2002</td>
</tr>
<tr>
<th>75</th>
<td>vincent f. demarco</td>
<td>2006</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>sheriff</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>george smith</td>
</tr>
</tbody>
</table> | select sheriff where start of term = 1868 <table_name> : table | | sheriff | start of term |
|---:|:-------------------|----------------:|
| 0 | josiah hobart | 1683 |
| 1 | john mulford | 1701 |
| 2 | hugh gray | 1702 |
| 3 | john brush | 1710 |
| 4 | daniel youngs | 1718 |
| 5 | samuel dayton | 1723 |
| 6 | william sell | 1728 |
| 7 | joseph smith | 1730 |
| 8 | david corrie | 1731 |
| 9 | jacob conklin | 1734 |
| 10 | thomas higbe | 1740 |
| 11 | james muirson | 1774 |
| 12 | thomas wickes | 1785 |
| 13 | silas halsey | 1787 |
| 14 | thomas wickes | 1791 |
| 15 | phinaes carll | 1799 |
| 16 | josiah reeve | 1803 |
| 17 | phinaes smith | 1807 |
| 18 | josiah reeve | 1808 |
| 19 | benjamin brewster | 1810 |
| 20 | josiah reeve | 1811 |
| 21 | benjamin brewster | 1812 |
| 22 | josiah reeve | 1813 |
| 23 | nathaniel conklin | 1814 |
| 24 | josiah reeve | 1815 |
| 25 | samuel carll | 1819 |
| 26 | abraham gardiner | 1821 |
| 27 | samuel smith | 1826 |
| 28 | abraham gardiner | 1829 |
| 29 | richard smith | 1832 |
| 30 | silas horton | 1835 |
| 31 | samuel miller | 1838 |
| 32 | david brush | 1841 |
| 33 | henry penny | 1844 |
| 34 | david rose | 1847 |
| 35 | john clark | 1850 |
| 36 | samuel phillips | 1855 |
| 37 | george carman | 1856 |
| 38 | stephen wilson | 1859 |
| 39 | daniel osborn | 1862 |
| 40 | george smith | 1868 |
| 41 | j. henry perkins | 1871 |
| 42 | egbert lewis | 1874 |
| 43 | george cooper | 1877 |
| 44 | robert petty | 1888 |
| 45 | selah brewster | 1883 |
| 46 | henry halsey | 1886 |
| 47 | robert petty | 1888 |
| 48 | a. m. darling | 1891 |
| 49 | benjamin wood | 1897 |
| 50 | j. sheridan wells | 1900 |
| 51 | henry preston | 1903 |
| 52 | john wells | 1906 |
| 53 | charles platt | 1909 |
| 54 | melville brush | 1912 |
| 55 | d. henry brown | 1913 |
| 56 | charles o'dell | 1914 |
| 57 | amza biggs | 1917 |
| 58 | john kelly | 1920 |
| 59 | amza biggs | 1923 |
| 60 | burton howe | 1926 |
| 61 | ellis taylor | 1929 |
| 62 | joseph warta | 1932 |
| 63 | william mccollom | 1935 |
| 64 | jacob dreyer | 1938 |
| 65 | john levy | 1941 |
| 66 | william mccollom | 1942 |
| 67 | charles dominy | 1957 |
| 68 | frank gross | 1962 |
| 69 | philip corso | 1970 |
| 70 | donald dilworth | 1976 |
| 71 | john finnerty | 1977 |
| 72 | eugene dooley | 1986 |
| 73 | patrick mahoney | 1990 |
| 74 | alfred c. tisch | 2002 |
| 75 | vincent f. demarco | 2006 | | | | sheriff |
|---:|:-------------|
| 0 | george smith | | [
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select match where match = match col : match | date | venue | opponents | score row 1 : gl-b-1 | 2008 | | | row 2 : gl-b-2 | 2008 | | | row 3 : gl-b-3 | 2008 | | | row 4 : gl-b-4 | 2008 | | | row 5 : gl-b-5 | 2008 | | | row 6 : gl-b-6 | 2008 | | | row 7 : quarterfinals-1 | 2008 | | | row 8 : quarterfinals-2 | 2008 | | | | col : match row 1 : gl-b-1 row 2 : gl-b-2 row 3 : gl-b-3 row 4 : gl-b-4 row 5 : gl-b-5 row 6 : gl-b-6 row 7 : quarterfinals-1 row 8 : quarterfinals-2 | select match where match = match <table_name> : table \begin{tabular}{llllll}
\toprule
& match & date & venue & opponents & score \\
\midrule
0 & gl-b-1 & 2008 & & & \\
1 & gl-b-2 & 2008 & & & \\
2 & gl-b-3 & 2008 & & & \\
3 & gl-b-4 & 2008 & & & \\
4 & gl-b-5 & 2008 & & & \\
5 & gl-b-6 & 2008 & & & \\
6 & quarterfinals-1 & 2008 & & & \\
7 & quarterfinals-2 & 2008 & & | & NaN \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& match \\
\midrule
0 & gl-b-1 \\
1 & gl-b-2 \\
2 & gl-b-3 \\
3 & gl-b-4 \\
4 & gl-b-5 \\
5 & gl-b-6 \\
6 & quarterfinals-1 \\
7 & quarterfinals-2 \\
\bottomrule
\end{tabular}
| select match where match = match <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>match</th>
<th>date</th>
<th>venue</th>
<th>opponents</th>
<th>score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>gl-b-1</td>
<td>2008</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>1</th>
<td>gl-b-2</td>
<td>2008</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>2</th>
<td>gl-b-3</td>
<td>2008</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>3</th>
<td>gl-b-4</td>
<td>2008</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>4</th>
<td>gl-b-5</td>
<td>2008</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>5</th>
<td>gl-b-6</td>
<td>2008</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>6</th>
<td>quarterfinals-1</td>
<td>2008</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>7</th>
<td>quarterfinals-2</td>
<td>2008</td>
<td></td>
<td>|</td>
<td>None</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>match</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>gl-b-1</td>
</tr>
<tr>
<th>1</th>
<td>gl-b-2</td>
</tr>
<tr>
<th>2</th>
<td>gl-b-3</td>
</tr>
<tr>
<th>3</th>
<td>gl-b-4</td>
</tr>
<tr>
<th>4</th>
<td>gl-b-5</td>
</tr>
<tr>
<th>5</th>
<td>gl-b-6</td>
</tr>
<tr>
<th>6</th>
<td>quarterfinals-1</td>
</tr>
<tr>
<th>7</th>
<td>quarterfinals-2</td>
</tr>
</tbody>
</table> | select match where match = match <table_name> : table | | match | date | venue | opponents | score |
|---:|:----------------|-------:|:--------|:------------|:--------|
| 0 | gl-b-1 | 2008 | | | |
| 1 | gl-b-2 | 2008 | | | |
| 2 | gl-b-3 | 2008 | | | |
| 3 | gl-b-4 | 2008 | | | |
| 4 | gl-b-5 | 2008 | | | |
| 5 | gl-b-6 | 2008 | | | |
| 6 | quarterfinals-1 | 2008 | | | |
| 7 | quarterfinals-2 | 2008 | | | | | | | | match |
|---:|:----------------|
| 0 | gl-b-1 |
| 1 | gl-b-2 |
| 2 | gl-b-3 |
| 3 | gl-b-4 |
| 4 | gl-b-5 |
| 5 | gl-b-6 |
| 6 | quarterfinals-1 |
| 7 | quarterfinals-2 | | [
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] |
select nation where nation = 'united states' order by gold desc limit 1 col : rank | nation | gold | silver | bronze | total row 1 : 1 | brazil | 21 | 9 | 12 | 42 row 2 : 2 | united states | 9 | 3 | 6 | 18 row 3 : 3 | china | 1 | 9 | 8 | 18 row 4 : 4 | australia | 1 | 1 | 1 | 3 row 5 : 4 | netherlands | 1 | 1 | 1 | 3 row 6 : 6 | estonia | 1 | 0 | 0 | 1 row 7 : 7 | germany | 0 | 5 | 1 | 6 row 8 : 8 | russia | 0 | 2 | 3 | 5 row 9 : 9 | argentina | 0 | 2 | 0 | 2 row 10 : 10 | switzerland | 0 | 1 | 1 | 2 row 11 : 11 | norway | 0 | 1 | 0 | 1 row 12 : 12 | austria | 0 | 0 | 1 | 1 | col : nation row 1 : united states | select nation where nation = 'united states' order by gold desc limit 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & brazil & 21 & 9 & 12 & 42 \\
1 & 2 & united states & 9 & 3 & 6 & 18 \\
2 & 3 & china & 1 & 9 & 8 & 18 \\
3 & 4 & australia & 1 & 1 & 1 & 3 \\
4 & 4 & netherlands & 1 & 1 & 1 & 3 \\
5 & 6 & estonia & 1 & 0 & 0 & 1 \\
6 & 7 & germany & 0 & 5 & 1 & 6 \\
7 & 8 & russia & 0 & 2 & 3 & 5 \\
8 & 9 & argentina & 0 & 2 & 0 & 2 \\
9 & 10 & switzerland & 0 & 1 & 1 & 2 \\
10 & 11 & norway & 0 & 1 & 0 & 1 \\
11 & 12 & austria & 0 & 0 & 1 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nation \\
\midrule
0 & united states \\
\bottomrule
\end{tabular}
| select nation where nation = 'united states' order by gold desc limit 1 <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>brazil</td>
<td>21</td>
<td>9</td>
<td>12</td>
<td>42</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>united states</td>
<td>9</td>
<td>3</td>
<td>6</td>
<td>18</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>china</td>
<td>1</td>
<td>9</td>
<td>8</td>
<td>18</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>australia</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>netherlands</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>estonia</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>germany</td>
<td>0</td>
<td>5</td>
<td>1</td>
<td>6</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>russia</td>
<td>0</td>
<td>2</td>
<td>3</td>
<td>5</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>argentina</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>switzerland</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>norway</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>austria</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>nation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>united states</td>
</tr>
</tbody>
</table> | select nation where nation = 'united states' order by gold desc limit 1 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|-------:|:--------------|-------:|---------:|---------:|--------:|
| 0 | 1 | brazil | 21 | 9 | 12 | 42 |
| 1 | 2 | united states | 9 | 3 | 6 | 18 |
| 2 | 3 | china | 1 | 9 | 8 | 18 |
| 3 | 4 | australia | 1 | 1 | 1 | 3 |
| 4 | 4 | netherlands | 1 | 1 | 1 | 3 |
| 5 | 6 | estonia | 1 | 0 | 0 | 1 |
| 6 | 7 | germany | 0 | 5 | 1 | 6 |
| 7 | 8 | russia | 0 | 2 | 3 | 5 |
| 8 | 9 | argentina | 0 | 2 | 0 | 2 |
| 9 | 10 | switzerland | 0 | 1 | 1 | 2 |
| 10 | 11 | norway | 0 | 1 | 0 | 1 |
| 11 | 12 | austria | 0 | 0 | 1 | 1 | | | | nation |
|---:|:--------------|
| 0 | united states | | [
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select bank where bank = 'citibank' col : bank | foundation | # of branches as of 30 september 2012 | total assets (million tl) as of 30 september 2012 row 1 : turkiye is bankası | 1924 | 1294 | 210535 row 2 : ziraat bankası | 1863 | 1510 | 207871 row 3 : garanti bank | 1946 | 947 | 154550 row 4 : akbank | 1948 | 963 | 150241 row 5 : yapı ve kredi bankası | 1944 | 949 | 160309 row 6 : halk bankası | 1938 | 807 | 116372 row 7 : vakıfbank | 1954 | 741 | 135578 row 8 : finansbank | 1987 | 530 | 49902 row 9 : turk ekonomi bankası | 1927 | 510 | 42505 row 10 : denizbank | 1997 | 624 | 40457 row 11 : hsbc bank | 1990 | 331 | 25797 row 12 : ing bank | 1984 | 320 | 23184 row 13 : turk eximbank | 1987 | 2 | 14724 row 14 : sekerbank | 1953 | 272 | 14656 row 15 : iller bankası | 1933 | 19 | 12309 row 16 : turkiye sınai kalkınma bankası | 1950 | 4 | 9929 row 17 : alternatif bank | 1992 | 63 | 7904 row 18 : citibank | 1980 | 37 | 7884 row 19 : anadolubank | 1996 | 88 | 7218 row 20 : burgan bank | 1992 | 60 | 4275 row 21 : imkb takas ve saklama bankası | 1995 | 1 | 3587 row 22 : tekstilbank | 1986 | 44 | 3502 row 23 : deutsche bank | 1988 | 1 | 3426 row 24 : fibabanka | 1984 | 27 | 3120 row 25 : aktif yatırım bankası | 1999 | 7 | 2997 row 26 : the royal bank of scotland | 1921 | 3 | 2750 row 27 : turkiye kalkınma bankası | 1975 | 1 | 2651 row 28 : turkland bank | 1991 | 27 | 2649 row 29 : arap turk bankası | 1977 | 7 | 2147 row 30 : merrill lynch | 1992 | 1 | 1898 row 31 : bankpozitif | 1999 | 1 | 1788 row 32 : societe generale | 1989 | 16 | 1457 row 33 : turkish bank | 1982 | 20 | 837 row 34 : jpmorgan chase | 1984 | 1 | 830 row 35 : birlesik fon bankası | 1958 | 1 | 801 row 36 : bank mellat | 1982 | 3 | 729 row 37 : portigon | 1985 | 1 | 279 row 38 : nurol yatırım bankası | 1999 | 2 | 227 row 39 : diler yatırım bankası | 1998 | 1 | 108 row 40 : gsd yatırım bankası | 1998 | 1 | 108 row 41 : habib bank limited | 1983 | 1 | 80 row 42 : credit agricole | 1990 | 1 | 72 row 43 : adabank | 1985 | 1 | 51 row 44 : taib yatırım bank | 1987 | 1 | 18 | col : bank row 1 : citibank | select bank where bank = 'citibank' <table_name> : table \begin{tabular}{lllll}
\toprule
& bank & foundation & # of branches as of 30 september 2012 & total assets (million tl) as of 30 september 2012 \\
\midrule
0 & turkiye is bankası & 1924 & 1294 & 210535 \\
1 & ziraat bankası & 1863 & 1510 & 207871 \\
2 & garanti bank & 1946 & 947 & 154550 \\
3 & akbank & 1948 & 963 & 150241 \\
4 & yapı ve kredi bankası & 1944 & 949 & 160309 \\
5 & halk bankası & 1938 & 807 & 116372 \\
6 & vakıfbank & 1954 & 741 & 135578 \\
7 & finansbank & 1987 & 530 & 49902 \\
8 & turk ekonomi bankası & 1927 & 510 & 42505 \\
9 & denizbank & 1997 & 624 & 40457 \\
10 & hsbc bank & 1990 & 331 & 25797 \\
11 & ing bank & 1984 & 320 & 23184 \\
12 & turk eximbank & 1987 & 2 & 14724 \\
13 & sekerbank & 1953 & 272 & 14656 \\
14 & iller bankası & 1933 & 19 & 12309 \\
15 & turkiye sınai kalkınma bankası & 1950 & 4 & 9929 \\
16 & alternatif bank & 1992 & 63 & 7904 \\
17 & citibank & 1980 & 37 & 7884 \\
18 & anadolubank & 1996 & 88 & 7218 \\
19 & burgan bank & 1992 & 60 & 4275 \\
20 & imkb takas ve saklama bankası & 1995 & 1 & 3587 \\
21 & tekstilbank & 1986 & 44 & 3502 \\
22 & deutsche bank & 1988 & 1 & 3426 \\
23 & fibabanka & 1984 & 27 & 3120 \\
24 & aktif yatırım bankası & 1999 & 7 & 2997 \\
25 & the royal bank of scotland & 1921 & 3 & 2750 \\
26 & turkiye kalkınma bankası & 1975 & 1 & 2651 \\
27 & turkland bank & 1991 & 27 & 2649 \\
28 & arap turk bankası & 1977 & 7 & 2147 \\
29 & merrill lynch & 1992 & 1 & 1898 \\
30 & bankpozitif & 1999 & 1 & 1788 \\
31 & societe generale & 1989 & 16 & 1457 \\
32 & turkish bank & 1982 & 20 & 837 \\
33 & jpmorgan chase & 1984 & 1 & 830 \\
34 & birlesik fon bankası & 1958 & 1 & 801 \\
35 & bank mellat & 1982 & 3 & 729 \\
36 & portigon & 1985 & 1 & 279 \\
37 & nurol yatırım bankası & 1999 & 2 & 227 \\
38 & diler yatırım bankası & 1998 & 1 & 108 \\
39 & gsd yatırım bankası & 1998 & 1 & 108 \\
40 & habib bank limited & 1983 & 1 & 80 \\
41 & credit agricole & 1990 & 1 & 72 \\
42 & adabank & 1985 & 1 & 51 \\
43 & taib yatırım bank & 1987 & 1 & 18 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& bank \\
\midrule
0 & citibank \\
\bottomrule
\end{tabular}
| select bank where bank = 'citibank' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>bank</th>
<th>foundation</th>
<th># of branches as of 30 september 2012</th>
<th>total assets (million tl) as of 30 september 2012</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>turkiye is bankası</td>
<td>1924</td>
<td>1294</td>
<td>210535</td>
</tr>
<tr>
<th>1</th>
<td>ziraat bankası</td>
<td>1863</td>
<td>1510</td>
<td>207871</td>
</tr>
<tr>
<th>2</th>
<td>garanti bank</td>
<td>1946</td>
<td>947</td>
<td>154550</td>
</tr>
<tr>
<th>3</th>
<td>akbank</td>
<td>1948</td>
<td>963</td>
<td>150241</td>
</tr>
<tr>
<th>4</th>
<td>yapı ve kredi bankası</td>
<td>1944</td>
<td>949</td>
<td>160309</td>
</tr>
<tr>
<th>5</th>
<td>halk bankası</td>
<td>1938</td>
<td>807</td>
<td>116372</td>
</tr>
<tr>
<th>6</th>
<td>vakıfbank</td>
<td>1954</td>
<td>741</td>
<td>135578</td>
</tr>
<tr>
<th>7</th>
<td>finansbank</td>
<td>1987</td>
<td>530</td>
<td>49902</td>
</tr>
<tr>
<th>8</th>
<td>turk ekonomi bankası</td>
<td>1927</td>
<td>510</td>
<td>42505</td>
</tr>
<tr>
<th>9</th>
<td>denizbank</td>
<td>1997</td>
<td>624</td>
<td>40457</td>
</tr>
<tr>
<th>10</th>
<td>hsbc bank</td>
<td>1990</td>
<td>331</td>
<td>25797</td>
</tr>
<tr>
<th>11</th>
<td>ing bank</td>
<td>1984</td>
<td>320</td>
<td>23184</td>
</tr>
<tr>
<th>12</th>
<td>turk eximbank</td>
<td>1987</td>
<td>2</td>
<td>14724</td>
</tr>
<tr>
<th>13</th>
<td>sekerbank</td>
<td>1953</td>
<td>272</td>
<td>14656</td>
</tr>
<tr>
<th>14</th>
<td>iller bankası</td>
<td>1933</td>
<td>19</td>
<td>12309</td>
</tr>
<tr>
<th>15</th>
<td>turkiye sınai kalkınma bankası</td>
<td>1950</td>
<td>4</td>
<td>9929</td>
</tr>
<tr>
<th>16</th>
<td>alternatif bank</td>
<td>1992</td>
<td>63</td>
<td>7904</td>
</tr>
<tr>
<th>17</th>
<td>citibank</td>
<td>1980</td>
<td>37</td>
<td>7884</td>
</tr>
<tr>
<th>18</th>
<td>anadolubank</td>
<td>1996</td>
<td>88</td>
<td>7218</td>
</tr>
<tr>
<th>19</th>
<td>burgan bank</td>
<td>1992</td>
<td>60</td>
<td>4275</td>
</tr>
<tr>
<th>20</th>
<td>imkb takas ve saklama bankası</td>
<td>1995</td>
<td>1</td>
<td>3587</td>
</tr>
<tr>
<th>21</th>
<td>tekstilbank</td>
<td>1986</td>
<td>44</td>
<td>3502</td>
</tr>
<tr>
<th>22</th>
<td>deutsche bank</td>
<td>1988</td>
<td>1</td>
<td>3426</td>
</tr>
<tr>
<th>23</th>
<td>fibabanka</td>
<td>1984</td>
<td>27</td>
<td>3120</td>
</tr>
<tr>
<th>24</th>
<td>aktif yatırım bankası</td>
<td>1999</td>
<td>7</td>
<td>2997</td>
</tr>
<tr>
<th>25</th>
<td>the royal bank of scotland</td>
<td>1921</td>
<td>3</td>
<td>2750</td>
</tr>
<tr>
<th>26</th>
<td>turkiye kalkınma bankası</td>
<td>1975</td>
<td>1</td>
<td>2651</td>
</tr>
<tr>
<th>27</th>
<td>turkland bank</td>
<td>1991</td>
<td>27</td>
<td>2649</td>
</tr>
<tr>
<th>28</th>
<td>arap turk bankası</td>
<td>1977</td>
<td>7</td>
<td>2147</td>
</tr>
<tr>
<th>29</th>
<td>merrill lynch</td>
<td>1992</td>
<td>1</td>
<td>1898</td>
</tr>
<tr>
<th>30</th>
<td>bankpozitif</td>
<td>1999</td>
<td>1</td>
<td>1788</td>
</tr>
<tr>
<th>31</th>
<td>societe generale</td>
<td>1989</td>
<td>16</td>
<td>1457</td>
</tr>
<tr>
<th>32</th>
<td>turkish bank</td>
<td>1982</td>
<td>20</td>
<td>837</td>
</tr>
<tr>
<th>33</th>
<td>jpmorgan chase</td>
<td>1984</td>
<td>1</td>
<td>830</td>
</tr>
<tr>
<th>34</th>
<td>birlesik fon bankası</td>
<td>1958</td>
<td>1</td>
<td>801</td>
</tr>
<tr>
<th>35</th>
<td>bank mellat</td>
<td>1982</td>
<td>3</td>
<td>729</td>
</tr>
<tr>
<th>36</th>
<td>portigon</td>
<td>1985</td>
<td>1</td>
<td>279</td>
</tr>
<tr>
<th>37</th>
<td>nurol yatırım bankası</td>
<td>1999</td>
<td>2</td>
<td>227</td>
</tr>
<tr>
<th>38</th>
<td>diler yatırım bankası</td>
<td>1998</td>
<td>1</td>
<td>108</td>
</tr>
<tr>
<th>39</th>
<td>gsd yatırım bankası</td>
<td>1998</td>
<td>1</td>
<td>108</td>
</tr>
<tr>
<th>40</th>
<td>habib bank limited</td>
<td>1983</td>
<td>1</td>
<td>80</td>
</tr>
<tr>
<th>41</th>
<td>credit agricole</td>
<td>1990</td>
<td>1</td>
<td>72</td>
</tr>
<tr>
<th>42</th>
<td>adabank</td>
<td>1985</td>
<td>1</td>
<td>51</td>
</tr>
<tr>
<th>43</th>
<td>taib yatırım bank</td>
<td>1987</td>
<td>1</td>
<td>18</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>bank</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>citibank</td>
</tr>
</tbody>
</table> | select bank where bank = 'citibank' <table_name> : table | | bank | foundation | # of branches as of 30 september 2012 | total assets (million tl) as of 30 september 2012 |
|---:|:-------------------------------|-------------:|----------------------------------------:|----------------------------------------------------:|
| 0 | turkiye is bankası | 1924 | 1294 | 210535 |
| 1 | ziraat bankası | 1863 | 1510 | 207871 |
| 2 | garanti bank | 1946 | 947 | 154550 |
| 3 | akbank | 1948 | 963 | 150241 |
| 4 | yapı ve kredi bankası | 1944 | 949 | 160309 |
| 5 | halk bankası | 1938 | 807 | 116372 |
| 6 | vakıfbank | 1954 | 741 | 135578 |
| 7 | finansbank | 1987 | 530 | 49902 |
| 8 | turk ekonomi bankası | 1927 | 510 | 42505 |
| 9 | denizbank | 1997 | 624 | 40457 |
| 10 | hsbc bank | 1990 | 331 | 25797 |
| 11 | ing bank | 1984 | 320 | 23184 |
| 12 | turk eximbank | 1987 | 2 | 14724 |
| 13 | sekerbank | 1953 | 272 | 14656 |
| 14 | iller bankası | 1933 | 19 | 12309 |
| 15 | turkiye sınai kalkınma bankası | 1950 | 4 | 9929 |
| 16 | alternatif bank | 1992 | 63 | 7904 |
| 17 | citibank | 1980 | 37 | 7884 |
| 18 | anadolubank | 1996 | 88 | 7218 |
| 19 | burgan bank | 1992 | 60 | 4275 |
| 20 | imkb takas ve saklama bankası | 1995 | 1 | 3587 |
| 21 | tekstilbank | 1986 | 44 | 3502 |
| 22 | deutsche bank | 1988 | 1 | 3426 |
| 23 | fibabanka | 1984 | 27 | 3120 |
| 24 | aktif yatırım bankası | 1999 | 7 | 2997 |
| 25 | the royal bank of scotland | 1921 | 3 | 2750 |
| 26 | turkiye kalkınma bankası | 1975 | 1 | 2651 |
| 27 | turkland bank | 1991 | 27 | 2649 |
| 28 | arap turk bankası | 1977 | 7 | 2147 |
| 29 | merrill lynch | 1992 | 1 | 1898 |
| 30 | bankpozitif | 1999 | 1 | 1788 |
| 31 | societe generale | 1989 | 16 | 1457 |
| 32 | turkish bank | 1982 | 20 | 837 |
| 33 | jpmorgan chase | 1984 | 1 | 830 |
| 34 | birlesik fon bankası | 1958 | 1 | 801 |
| 35 | bank mellat | 1982 | 3 | 729 |
| 36 | portigon | 1985 | 1 | 279 |
| 37 | nurol yatırım bankası | 1999 | 2 | 227 |
| 38 | diler yatırım bankası | 1998 | 1 | 108 |
| 39 | gsd yatırım bankası | 1998 | 1 | 108 |
| 40 | habib bank limited | 1983 | 1 | 80 |
| 41 | credit agricole | 1990 | 1 | 72 |
| 42 | adabank | 1985 | 1 | 51 |
| 43 | taib yatırım bank | 1987 | 1 | 18 | | | | bank |
|---:|:---------|
| 0 | citibank | | [
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] |
select count ( * ) where player = 'giuseppe aquaro' col : player | league | cup | europa league | total row 1 : spas delev | 13 | 7 | 2 | 22 row 2 : marquinhos | 9 | 1 | 3 | 13 row 3 : michel platini | 10 | 0 | 0 | 10 row 4 : cillian sheridan | 4 | 2 | 1 | 7 row 5 : giuseppe aquaro | 3 | 0 | 2 | 5 row 6 : gregory nelson | 3 | 0 | 1 | 4 row 7 : rumen trifonov | 2 | 0 | 1 | 3 row 8 : aleksandar tonev | 2 | 0 | 0 | 2 row 9 : apostol popov | 2 | 0 | 0 | 2 row 10 : emil gargorov | 2 | 0 | 0 | 2 row 11 : todor yanchev | 0 | 1 | 1 | 2 row 12 : stanislav kostov | 1 | 0 | 0 | 1 row 13 : kostadin stoyanov | 1 | 0 | 0 | 1 row 14 : boris galchev | 1 | 0 | 0 | 1 row 15 : pavel vidanov | 0 | 0 | 1 | 1 row 16 : tomislav kostadinov | 0 | 0 | 1 | 1 row 17 : christian tiboni | 0 | 0 | 1 | 1 row 18 : total | 53 | 11 | 14 | 78 | col : count ( "*" ) row 1 : 1 | select count ( * ) where player = 'giuseppe aquaro' <table_name> : table \begin{tabular}{llllll}
\toprule
& player & league & cup & europa league & total \\
\midrule
0 & spas delev & 13 & 7 & 2 & 22 \\
1 & marquinhos & 9 & 1 & 3 & 13 \\
2 & michel platini & 10 & 0 & 0 & 10 \\
3 & cillian sheridan & 4 & 2 & 1 & 7 \\
4 & giuseppe aquaro & 3 & 0 & 2 & 5 \\
5 & gregory nelson & 3 & 0 & 1 & 4 \\
6 & rumen trifonov & 2 & 0 & 1 & 3 \\
7 & aleksandar tonev & 2 & 0 & 0 & 2 \\
8 & apostol popov & 2 & 0 & 0 & 2 \\
9 & emil gargorov & 2 & 0 & 0 & 2 \\
10 & todor yanchev & 0 & 1 & 1 & 2 \\
11 & stanislav kostov & 1 & 0 & 0 & 1 \\
12 & kostadin stoyanov & 1 & 0 & 0 & 1 \\
13 & boris galchev & 1 & 0 & 0 & 1 \\
14 & pavel vidanov & 0 & 0 & 1 & 1 \\
15 & tomislav kostadinov & 0 & 0 & 1 & 1 \\
16 & christian tiboni & 0 & 0 & 1 & 1 \\
17 & total & 53 & 11 & 14 & 78 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where player = 'giuseppe aquaro' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>player</th>
<th>league</th>
<th>cup</th>
<th>europa league</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>spas delev</td>
<td>13</td>
<td>7</td>
<td>2</td>
<td>22</td>
</tr>
<tr>
<th>1</th>
<td>marquinhos</td>
<td>9</td>
<td>1</td>
<td>3</td>
<td>13</td>
</tr>
<tr>
<th>2</th>
<td>michel platini</td>
<td>10</td>
<td>0</td>
<td>0</td>
<td>10</td>
</tr>
<tr>
<th>3</th>
<td>cillian sheridan</td>
<td>4</td>
<td>2</td>
<td>1</td>
<td>7</td>
</tr>
<tr>
<th>4</th>
<td>giuseppe aquaro</td>
<td>3</td>
<td>0</td>
<td>2</td>
<td>5</td>
</tr>
<tr>
<th>5</th>
<td>gregory nelson</td>
<td>3</td>
<td>0</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>6</th>
<td>rumen trifonov</td>
<td>2</td>
<td>0</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>7</th>
<td>aleksandar tonev</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>8</th>
<td>apostol popov</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>emil gargorov</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>todor yanchev</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>stanislav kostov</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>kostadin stoyanov</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>boris galchev</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>14</th>
<td>pavel vidanov</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>tomislav kostadinov</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>16</th>
<td>christian tiboni</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>17</th>
<td>total</td>
<td>53</td>
<td>11</td>
<td>14</td>
<td>78</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 player = 'giuseppe aquaro' <table_name> : table | | player | league | cup | europa league | total |
|---:|:--------------------|---------:|------:|----------------:|--------:|
| 0 | spas delev | 13 | 7 | 2 | 22 |
| 1 | marquinhos | 9 | 1 | 3 | 13 |
| 2 | michel platini | 10 | 0 | 0 | 10 |
| 3 | cillian sheridan | 4 | 2 | 1 | 7 |
| 4 | giuseppe aquaro | 3 | 0 | 2 | 5 |
| 5 | gregory nelson | 3 | 0 | 1 | 4 |
| 6 | rumen trifonov | 2 | 0 | 1 | 3 |
| 7 | aleksandar tonev | 2 | 0 | 0 | 2 |
| 8 | apostol popov | 2 | 0 | 0 | 2 |
| 9 | emil gargorov | 2 | 0 | 0 | 2 |
| 10 | todor yanchev | 0 | 1 | 1 | 2 |
| 11 | stanislav kostov | 1 | 0 | 0 | 1 |
| 12 | kostadin stoyanov | 1 | 0 | 0 | 1 |
| 13 | boris galchev | 1 | 0 | 0 | 1 |
| 14 | pavel vidanov | 0 | 0 | 1 | 1 |
| 15 | tomislav kostadinov | 0 | 0 | 1 | 1 |
| 16 | christian tiboni | 0 | 0 | 1 | 1 |
| 17 | total | 53 | 11 | 14 | 78 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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] |
select month - month where month = 'average low °c (°f)' col : month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec | year row 1 : average high °c (°f) | 17.3 (63.1) | 19.5 (67.1) | 22.6 (72.7) | 25.9 (78.6) | 27.2 (81) | 29.3 (84.7) | 31.8 (89.2) | 31.4 (88.5) | 28.9 (84) | 25.5 (77.9) | 21.7 (71.1) | 19.2 (66.6) | 24.76 (76.57) row 2 : average low °c (°f) | 7.9 (46.2) | 9.4 (48.9) | 12.5 (54.5) | 17.6 (63.7) | 19.2 (66.6) | 21.6 (70.9) | 23.8 (74.8) | 22.5 (72.5) | 20.7 (69.3) | 16.5 (61.7) | 14.1 (57.4) | 8.5 (47.3) | 15.94 (60.69) row 3 : precipitation mm (inches) | 235.9 (9.287) | 129.2 (5.087) | 82.8 (3.26) | 33.6 (1.323) | 4.7 (0.185) | 0.2 (0.008) | 0.0 (0) | 0.2 (0.008) | 3.2 (0.126) | 58.0 (2.283) | 107.4 (4.228) | 214.5 (8.445) | 857.3 (33.752) row 4 : avg. precipitation days | 13.9 | 11.4 | 8.6 | 3.6 | 2.4 | 0.1 | 0.0 | 0.1 | 1.8 | 4.9 | 8.0 | 11.8 | 63.7 | col : "month - month" row 1 : month - month | select month - month where month = 'average low °c (°f)' <table_name> : table \begin{tabular}{lllllllllllllll}
\toprule
& month & jan & feb & mar & apr & may & jun & jul & aug & sep & oct & nov & dec & year \\
\midrule
0 & average high °c (°f) & 17.3 (63.1) & 19.5 (67.1) & 22.6 (72.7) & 25.9 (78.6) & 27.2 (81) & 29.3 (84.7) & 31.8 (89.2) & 31.4 (88.5) & 28.9 (84) & 25.5 (77.9) & 21.7 (71.1) & 19.2 (66.6) & 24.76 (76.57) \\
1 & average low °c (°f) & 7.9 (46.2) & 9.4 (48.9) & 12.5 (54.5) & 17.6 (63.7) & 19.2 (66.6) & 21.6 (70.9) & 23.8 (74.8) & 22.5 (72.5) & 20.7 (69.3) & 16.5 (61.7) & 14.1 (57.4) & 8.5 (47.3) & 15.94 (60.69) \\
2 & precipitation mm (inches) & 235.9 (9.287) & 129.2 (5.087) & 82.8 (3.26) & 33.6 (1.323) & 4.7 (0.185) & 0.2 (0.008) & 0.0 (0) & 0.2 (0.008) & 3.2 (0.126) & 58.0 (2.283) & 107.4 (4.228) & 214.5 (8.445) & 857.3 (33.752) \\
3 & avg. precipitation days & 13.9 & 11.4 & 8.6 & 3.6 & 2.4 & 0.1 & 0.0 & 0.1 & 1.8 & 4.9 & 8.0 & 11.8 & 63.7 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "month - month" \\
\midrule
0 & month - month \\
\bottomrule
\end{tabular}
| select month - month where month = 'average low °c (°f)' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>month</th>
<th>jan</th>
<th>feb</th>
<th>mar</th>
<th>apr</th>
<th>may</th>
<th>jun</th>
<th>jul</th>
<th>aug</th>
<th>sep</th>
<th>oct</th>
<th>nov</th>
<th>dec</th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>average high °c (°f)</td>
<td>17.3 (63.1)</td>
<td>19.5 (67.1)</td>
<td>22.6 (72.7)</td>
<td>25.9 (78.6)</td>
<td>27.2 (81)</td>
<td>29.3 (84.7)</td>
<td>31.8 (89.2)</td>
<td>31.4 (88.5)</td>
<td>28.9 (84)</td>
<td>25.5 (77.9)</td>
<td>21.7 (71.1)</td>
<td>19.2 (66.6)</td>
<td>24.76 (76.57)</td>
</tr>
<tr>
<th>1</th>
<td>average low °c (°f)</td>
<td>7.9 (46.2)</td>
<td>9.4 (48.9)</td>
<td>12.5 (54.5)</td>
<td>17.6 (63.7)</td>
<td>19.2 (66.6)</td>
<td>21.6 (70.9)</td>
<td>23.8 (74.8)</td>
<td>22.5 (72.5)</td>
<td>20.7 (69.3)</td>
<td>16.5 (61.7)</td>
<td>14.1 (57.4)</td>
<td>8.5 (47.3)</td>
<td>15.94 (60.69)</td>
</tr>
<tr>
<th>2</th>
<td>precipitation mm (inches)</td>
<td>235.9 (9.287)</td>
<td>129.2 (5.087)</td>
<td>82.8 (3.26)</td>
<td>33.6 (1.323)</td>
<td>4.7 (0.185)</td>
<td>0.2 (0.008)</td>
<td>0.0 (0)</td>
<td>0.2 (0.008)</td>
<td>3.2 (0.126)</td>
<td>58.0 (2.283)</td>
<td>107.4 (4.228)</td>
<td>214.5 (8.445)</td>
<td>857.3 (33.752)</td>
</tr>
<tr>
<th>3</th>
<td>avg. precipitation days</td>
<td>13.9</td>
<td>11.4</td>
<td>8.6</td>
<td>3.6</td>
<td>2.4</td>
<td>0.1</td>
<td>0.0</td>
<td>0.1</td>
<td>1.8</td>
<td>4.9</td>
<td>8.0</td>
<td>11.8</td>
<td>63.7</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"month - month"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>month - month</td>
</tr>
</tbody>
</table> | select month - month where month = 'average low °c (°f)' <table_name> : table | | month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec | year |
|---:|:--------------------------|:--------------|:--------------|:------------|:-------------|:------------|:------------|:------------|:------------|:------------|:-------------|:--------------|:--------------|:---------------|
| 0 | average high °c (°f) | 17.3 (63.1) | 19.5 (67.1) | 22.6 (72.7) | 25.9 (78.6) | 27.2 (81) | 29.3 (84.7) | 31.8 (89.2) | 31.4 (88.5) | 28.9 (84) | 25.5 (77.9) | 21.7 (71.1) | 19.2 (66.6) | 24.76 (76.57) |
| 1 | average low °c (°f) | 7.9 (46.2) | 9.4 (48.9) | 12.5 (54.5) | 17.6 (63.7) | 19.2 (66.6) | 21.6 (70.9) | 23.8 (74.8) | 22.5 (72.5) | 20.7 (69.3) | 16.5 (61.7) | 14.1 (57.4) | 8.5 (47.3) | 15.94 (60.69) |
| 2 | precipitation mm (inches) | 235.9 (9.287) | 129.2 (5.087) | 82.8 (3.26) | 33.6 (1.323) | 4.7 (0.185) | 0.2 (0.008) | 0.0 (0) | 0.2 (0.008) | 3.2 (0.126) | 58.0 (2.283) | 107.4 (4.228) | 214.5 (8.445) | 857.3 (33.752) |
| 3 | avg. precipitation days | 13.9 | 11.4 | 8.6 | 3.6 | 2.4 | 0.1 | 0.0 | 0.1 | 1.8 | 4.9 | 8.0 | 11.8 | 63.7 | | | | "month - month" |
|---:|:------------------|
| 0 | month - month | | [
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] |
select count ( regular season ) where playoffs = 'did not qualify' 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 : count ( "regular season" ) row 1 : 15 | select count ( regular season ) where playoffs = 'did not qualify' <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
& count ( "regular season" ) \\
\midrule
0 & 15 \\
\bottomrule
\end{tabular}
| select count ( regular season ) where playoffs = 'did not qualify' <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>count ( "regular season" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>15</td>
</tr>
</tbody>
</table> | select count ( regular season ) where playoffs = 'did not qualify' <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 | | | | count ( "regular season" ) |
|---:|-----------------------------:|
| 0 | 15 | | [
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select co-star where director = 'tanim noor' col : year | film | role | co-star | director | notes row 1 : 2004 | bachelor | none | none | mostofa sarwar farooki | special appearance row 2 : 2010 | dubshatar | renu | shehzad chowdhury, wahida mallik joly | nurul alam atik | first debut film daily star celebrating life-best actress-critic (film) row 3 : 2011 | firey esho behula | tanima | intekhab deenar, shahidujjaman selim, humayun faridi, jayanta chatterjee | tanim noor | none row 4 : 2011 | guerrilla | bilkis banu | ferdous ahmed, ahmed rubel, shatabdi wadud, shampa reza, a.t.m shamsuzzaman | nasiruddin yousuff | national film award meril prothom alo award 11th dhaka international film award 17th calcutta international film award row 5 : 2012 | chorabali | noboni afroz | indraneil sengupta, shahidujjaman selim, jannatul ferdoush peya | redwan rony | national film award meril prothom alo award row 6 : 2013 | aborto | charu sen | tota roy chowdhury, reshmi ghosh, abir chatterjee | arindam sil | first debut film in tollywood row 7 : 2013 | purnodoirgho prem kahini | jara/zara | shakib khan, arefin shuvo | shafi uddin shafi | first film with shakib khan row 8 : 2014 | parle theka (filming) | none | sushama sarkar | maruf hasan | none row 9 : 2014 | zero degree (filming) | sonia | mahfuz ahmed, ruhi yasmeen | animesh aich | none | col : co-star row 1 : intekhab deenar, shahidujjaman selim, humayun faridi, jayanta chatterjee | select co-star where director = 'tanim noor' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & film & role & co-star & director & notes \\
\midrule
0 & 2004 & bachelor & none & none & mostofa sarwar farooki & special appearance \\
1 & 2010 & dubshatar & renu & shehzad chowdhury, wahida mallik joly & nurul alam atik & first debut film daily star celebrating life-best actress-critic (film) \\
2 & 2011 & firey esho behula & tanima & intekhab deenar, shahidujjaman selim, humayun faridi, jayanta chatterjee & tanim noor & none \\
3 & 2011 & guerrilla & bilkis banu & ferdous ahmed, ahmed rubel, shatabdi wadud, shampa reza, a.t.m shamsuzzaman & nasiruddin yousuff & national film award meril prothom alo award 11th dhaka international film award 17th calcutta international film award \\
4 & 2012 & chorabali & noboni afroz & indraneil sengupta, shahidujjaman selim, jannatul ferdoush peya & redwan rony & national film award meril prothom alo award \\
5 & 2013 & aborto & charu sen & tota roy chowdhury, reshmi ghosh, abir chatterjee & arindam sil & first debut film in tollywood \\
6 & 2013 & purnodoirgho prem kahini & jara/zara & shakib khan, arefin shuvo & shafi uddin shafi & first film with shakib khan \\
7 & 2014 & parle theka (filming) & none & sushama sarkar & maruf hasan & none \\
8 & 2014 & zero degree (filming) & sonia & mahfuz ahmed, ruhi yasmeen & animesh aich & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& co-star \\
\midrule
0 & intekhab deenar, shahidujjaman selim, humayun faridi, jayanta chatterjee \\
\bottomrule
\end{tabular}
| select co-star where director = 'tanim noor' <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>co-star</th>
<th>director</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2004</td>
<td>bachelor</td>
<td>none</td>
<td>none</td>
<td>mostofa sarwar farooki</td>
<td>special appearance</td>
</tr>
<tr>
<th>1</th>
<td>2010</td>
<td>dubshatar</td>
<td>renu</td>
<td>shehzad chowdhury, wahida mallik joly</td>
<td>nurul alam atik</td>
<td>first debut film daily star celebrating life-best actress-critic (film)</td>
</tr>
<tr>
<th>2</th>
<td>2011</td>
<td>firey esho behula</td>
<td>tanima</td>
<td>intekhab deenar, shahidujjaman selim, humayun faridi, jayanta chatterjee</td>
<td>tanim noor</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>2011</td>
<td>guerrilla</td>
<td>bilkis banu</td>
<td>ferdous ahmed, ahmed rubel, shatabdi wadud, shampa reza, a.t.m shamsuzzaman</td>
<td>nasiruddin yousuff</td>
<td>national film award meril prothom alo award 11th dhaka international film award 17th calcutta international film award</td>
</tr>
<tr>
<th>4</th>
<td>2012</td>
<td>chorabali</td>
<td>noboni afroz</td>
<td>indraneil sengupta, shahidujjaman selim, jannatul ferdoush peya</td>
<td>redwan rony</td>
<td>national film award meril prothom alo award</td>
</tr>
<tr>
<th>5</th>
<td>2013</td>
<td>aborto</td>
<td>charu sen</td>
<td>tota roy chowdhury, reshmi ghosh, abir chatterjee</td>
<td>arindam sil</td>
<td>first debut film in tollywood</td>
</tr>
<tr>
<th>6</th>
<td>2013</td>
<td>purnodoirgho prem kahini</td>
<td>jara/zara</td>
<td>shakib khan, arefin shuvo</td>
<td>shafi uddin shafi</td>
<td>first film with shakib khan</td>
</tr>
<tr>
<th>7</th>
<td>2014</td>
<td>parle theka (filming)</td>
<td>none</td>
<td>sushama sarkar</td>
<td>maruf hasan</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>2014</td>
<td>zero degree (filming)</td>
<td>sonia</td>
<td>mahfuz ahmed, ruhi yasmeen</td>
<td>animesh aich</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>co-star</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>intekhab deenar, shahidujjaman selim, humayun faridi, jayanta chatterjee</td>
</tr>
</tbody>
</table> | select co-star where director = 'tanim noor' <table_name> : table | | year | film | role | co-star | director | notes |
|---:|-------:|:-------------------------|:-------------|:----------------------------------------------------------------------------|:-----------------------|:-----------------------------------------------------------------------------------------------------------------------|
| 0 | 2004 | bachelor | none | none | mostofa sarwar farooki | special appearance |
| 1 | 2010 | dubshatar | renu | shehzad chowdhury, wahida mallik joly | nurul alam atik | first debut film daily star celebrating life-best actress-critic (film) |
| 2 | 2011 | firey esho behula | tanima | intekhab deenar, shahidujjaman selim, humayun faridi, jayanta chatterjee | tanim noor | none |
| 3 | 2011 | guerrilla | bilkis banu | ferdous ahmed, ahmed rubel, shatabdi wadud, shampa reza, a.t.m shamsuzzaman | nasiruddin yousuff | national film award meril prothom alo award 11th dhaka international film award 17th calcutta international film award |
| 4 | 2012 | chorabali | noboni afroz | indraneil sengupta, shahidujjaman selim, jannatul ferdoush peya | redwan rony | national film award meril prothom alo award |
| 5 | 2013 | aborto | charu sen | tota roy chowdhury, reshmi ghosh, abir chatterjee | arindam sil | first debut film in tollywood |
| 6 | 2013 | purnodoirgho prem kahini | jara/zara | shakib khan, arefin shuvo | shafi uddin shafi | first film with shakib khan |
| 7 | 2014 | parle theka (filming) | none | sushama sarkar | maruf hasan | none |
| 8 | 2014 | zero degree (filming) | sonia | mahfuz ahmed, ruhi yasmeen | animesh aich | none | | | | co-star |
|---:|:-------------------------------------------------------------------------|
| 0 | intekhab deenar, shahidujjaman selim, humayun faridi, jayanta chatterjee | | [
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select auto / auto where nationality = 'united states' col : time | wind | auto | athlete | nationality | location of race | date row 1 : 20.6y | none | none | andy stanfield | united states | philadelphia, united states | 1951-05-26 00:00:00 row 2 : 20.6 | none | none | andy stanfield | united states | los angeles, united states | 1952-06-28 00:00:00 row 3 : 20.6 | 0 | none | thane baker | united states | bakersfield, united states | 1956-06-23 00:00:00 row 4 : 20.6 | none | 20.75 | bobby mor | | | nat row 5 : | united states | melbourne, australia | november 27, 1956 | | | nat row 6 : 20.6 | none | none | manfred germar | west germany | wuppertal, germany | 1958-10-01 00:00:00 row 7 : 20.6y | -1.6 | none | ray norton | united states | berkeley, united states | 1960-03-19 00:00:00 row 8 : 20.6 | none | none | ray norton | united states | philadelphia, united states | 1960-04-30 00:00:00 row 9 : 20.5y | none | none | peter radford | united kingdom | wolverhampton, united kingdom | 1960-05-28 00:00:00 row 10 : 20.5 | 0 | 20.75 | stone johnson | united states | stanford, united states | 1960-07-02 00:00:00 row 11 : 20.5 | 0 | none | ray norton | united states | stanford, united states | 1960-07-02 00:00:00 row 12 : 20.5 | none | 20.65 | livio berruti | italy | rome, italy | 1960-09-03 00:00:00 row 13 : 20.5 | none | 20.62 | livio berruti | italy | rome, italy | 1960-09-03 00:00:00 row 14 : 20.5y | -1.1 | 20.67 | paul drayton | united states | walnut, united states | 1962-06-23 00:00:00 row 15 : 20.3y | -0.1 | none | henry carr | united states | tempe, united states | 1963-03-23 00:00:00 row 16 : 20.2y | 0.5 | none | henry carr | united states | tempe, united states | 1964-04-04 00:00:00 row 17 : 20.0y | 0 | none | tommie smith | united states | sacramento, united states | 1968-06-11 00:00:00 row 18 : 19.8a | 0.9 | 19.83a | tommie smith | united states | mexico city, mexico | 1968-10-16 00:00:00 row 19 : 19.8a | 0.9 | 19.86a | donald quarrie | jamaica | cali, colombia | 1971-08-03 00:00:00 row 20 : 19.8 | 1.3 | none | donald quarrie | jamaica | eugene, oregon, united states | 1975-06-07 00:00:00 | col : "auto / auto" row 1 : auto / auto row 2 : auto / auto row 3 : auto / auto row 4 : auto / auto row 5 : auto / auto row 6 : auto / auto row 7 : auto / auto row 8 : auto / auto row 9 : auto / auto row 10 : auto / auto row 11 : auto / auto row 12 : auto / auto | select auto / auto where nationality = 'united states' <table_name> : table \begin{tabular}{llllllll}
\toprule
& time & wind & auto & athlete & nationality & location of race & date \\
\midrule
0 & 20.6y & none & none & andy stanfield & united states & philadelphia, united states & 1951-05-26 00:00:00 \\
1 & 20.6 & none & none & andy stanfield & united states & los angeles, united states & 1952-06-28 00:00:00 \\
2 & 20.6 & 0 & none & thane baker & united states & bakersfield, united states & 1956-06-23 00:00:00 \\
3 & 20.6 & none & 20.75 & bobby mor & & & nat \\
4 & & united states & melbourne, australia & november 27, 1956 & & & nat \\
5 & 20.6 & none & none & manfred germar & west germany & wuppertal, germany & 1958-10-01 00:00:00 \\
6 & 20.6y & -1.6 & none & ray norton & united states & berkeley, united states & 1960-03-19 00:00:00 \\
7 & 20.6 & none & none & ray norton & united states & philadelphia, united states & 1960-04-30 00:00:00 \\
8 & 20.5y & none & none & peter radford & united kingdom & wolverhampton, united kingdom & 1960-05-28 00:00:00 \\
9 & 20.5 & 0 & 20.75 & stone johnson & united states & stanford, united states & 1960-07-02 00:00:00 \\
10 & 20.5 & 0 & none & ray norton & united states & stanford, united states & 1960-07-02 00:00:00 \\
11 & 20.5 & none & 20.65 & livio berruti & italy & rome, italy & 1960-09-03 00:00:00 \\
12 & 20.5 & none & 20.62 & livio berruti & italy & rome, italy & 1960-09-03 00:00:00 \\
13 & 20.5y & -1.1 & 20.67 & paul drayton & united states & walnut, united states & 1962-06-23 00:00:00 \\
14 & 20.3y & -0.1 & none & henry carr & united states & tempe, united states & 1963-03-23 00:00:00 \\
15 & 20.2y & 0.5 & none & henry carr & united states & tempe, united states & 1964-04-04 00:00:00 \\
16 & 20.0y & 0 & none & tommie smith & united states & sacramento, united states & 1968-06-11 00:00:00 \\
17 & 19.8a & 0.9 & 19.83a & tommie smith & united states & mexico city, mexico & 1968-10-16 00:00:00 \\
18 & 19.8a & 0.9 & 19.86a & donald quarrie & jamaica & cali, colombia & 1971-08-03 00:00:00 \\
19 & 19.8 & 1.3 & none & donald quarrie & jamaica & eugene, oregon, united states & 1975-06-07 00:00:00 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "auto / auto" \\
\midrule
0 & auto / auto \\
1 & auto / auto \\
2 & auto / auto \\
3 & auto / auto \\
4 & auto / auto \\
5 & auto / auto \\
6 & auto / auto \\
7 & auto / auto \\
8 & auto / auto \\
9 & auto / auto \\
10 & auto / auto \\
11 & auto / auto \\
\bottomrule
\end{tabular}
| select auto / auto where nationality = 'united states' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>time</th>
<th>wind</th>
<th>auto</th>
<th>athlete</th>
<th>nationality</th>
<th>location of race</th>
<th>date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>20.6y</td>
<td>none</td>
<td>none</td>
<td>andy stanfield</td>
<td>united states</td>
<td>philadelphia, united states</td>
<td>1951-05-26 00:00:00</td>
</tr>
<tr>
<th>1</th>
<td>20.6</td>
<td>none</td>
<td>none</td>
<td>andy stanfield</td>
<td>united states</td>
<td>los angeles, united states</td>
<td>1952-06-28 00:00:00</td>
</tr>
<tr>
<th>2</th>
<td>20.6</td>
<td>0</td>
<td>none</td>
<td>thane baker</td>
<td>united states</td>
<td>bakersfield, united states</td>
<td>1956-06-23 00:00:00</td>
</tr>
<tr>
<th>3</th>
<td>20.6</td>
<td>none</td>
<td>20.75</td>
<td>bobby mor</td>
<td></td>
<td></td>
<td>nat</td>
</tr>
<tr>
<th>4</th>
<td></td>
<td>united states</td>
<td>melbourne, australia</td>
<td>november 27, 1956</td>
<td></td>
<td></td>
<td>nat</td>
</tr>
<tr>
<th>5</th>
<td>20.6</td>
<td>none</td>
<td>none</td>
<td>manfred germar</td>
<td>west germany</td>
<td>wuppertal, germany</td>
<td>1958-10-01 00:00:00</td>
</tr>
<tr>
<th>6</th>
<td>20.6y</td>
<td>-1.6</td>
<td>none</td>
<td>ray norton</td>
<td>united states</td>
<td>berkeley, united states</td>
<td>1960-03-19 00:00:00</td>
</tr>
<tr>
<th>7</th>
<td>20.6</td>
<td>none</td>
<td>none</td>
<td>ray norton</td>
<td>united states</td>
<td>philadelphia, united states</td>
<td>1960-04-30 00:00:00</td>
</tr>
<tr>
<th>8</th>
<td>20.5y</td>
<td>none</td>
<td>none</td>
<td>peter radford</td>
<td>united kingdom</td>
<td>wolverhampton, united kingdom</td>
<td>1960-05-28 00:00:00</td>
</tr>
<tr>
<th>9</th>
<td>20.5</td>
<td>0</td>
<td>20.75</td>
<td>stone johnson</td>
<td>united states</td>
<td>stanford, united states</td>
<td>1960-07-02 00:00:00</td>
</tr>
<tr>
<th>10</th>
<td>20.5</td>
<td>0</td>
<td>none</td>
<td>ray norton</td>
<td>united states</td>
<td>stanford, united states</td>
<td>1960-07-02 00:00:00</td>
</tr>
<tr>
<th>11</th>
<td>20.5</td>
<td>none</td>
<td>20.65</td>
<td>livio berruti</td>
<td>italy</td>
<td>rome, italy</td>
<td>1960-09-03 00:00:00</td>
</tr>
<tr>
<th>12</th>
<td>20.5</td>
<td>none</td>
<td>20.62</td>
<td>livio berruti</td>
<td>italy</td>
<td>rome, italy</td>
<td>1960-09-03 00:00:00</td>
</tr>
<tr>
<th>13</th>
<td>20.5y</td>
<td>-1.1</td>
<td>20.67</td>
<td>paul drayton</td>
<td>united states</td>
<td>walnut, united states</td>
<td>1962-06-23 00:00:00</td>
</tr>
<tr>
<th>14</th>
<td>20.3y</td>
<td>-0.1</td>
<td>none</td>
<td>henry carr</td>
<td>united states</td>
<td>tempe, united states</td>
<td>1963-03-23 00:00:00</td>
</tr>
<tr>
<th>15</th>
<td>20.2y</td>
<td>0.5</td>
<td>none</td>
<td>henry carr</td>
<td>united states</td>
<td>tempe, united states</td>
<td>1964-04-04 00:00:00</td>
</tr>
<tr>
<th>16</th>
<td>20.0y</td>
<td>0</td>
<td>none</td>
<td>tommie smith</td>
<td>united states</td>
<td>sacramento, united states</td>
<td>1968-06-11 00:00:00</td>
</tr>
<tr>
<th>17</th>
<td>19.8a</td>
<td>0.9</td>
<td>19.83a</td>
<td>tommie smith</td>
<td>united states</td>
<td>mexico city, mexico</td>
<td>1968-10-16 00:00:00</td>
</tr>
<tr>
<th>18</th>
<td>19.8a</td>
<td>0.9</td>
<td>19.86a</td>
<td>donald quarrie</td>
<td>jamaica</td>
<td>cali, colombia</td>
<td>1971-08-03 00:00:00</td>
</tr>
<tr>
<th>19</th>
<td>19.8</td>
<td>1.3</td>
<td>none</td>
<td>donald quarrie</td>
<td>jamaica</td>
<td>eugene, oregon, united states</td>
<td>1975-06-07 00:00:00</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"auto / auto"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>auto / auto</td>
</tr>
<tr>
<th>1</th>
<td>auto / auto</td>
</tr>
<tr>
<th>2</th>
<td>auto / auto</td>
</tr>
<tr>
<th>3</th>
<td>auto / auto</td>
</tr>
<tr>
<th>4</th>
<td>auto / auto</td>
</tr>
<tr>
<th>5</th>
<td>auto / auto</td>
</tr>
<tr>
<th>6</th>
<td>auto / auto</td>
</tr>
<tr>
<th>7</th>
<td>auto / auto</td>
</tr>
<tr>
<th>8</th>
<td>auto / auto</td>
</tr>
<tr>
<th>9</th>
<td>auto / auto</td>
</tr>
<tr>
<th>10</th>
<td>auto / auto</td>
</tr>
<tr>
<th>11</th>
<td>auto / auto</td>
</tr>
</tbody>
</table> | select auto / auto where nationality = 'united states' <table_name> : table | | time | wind | auto | athlete | nationality | location of race | date |
|---:|:-------|:--------------|:---------------------|:------------------|:---------------|:------------------------------|:--------------------|
| 0 | 20.6y | none | none | andy stanfield | united states | philadelphia, united states | 1951-05-26 00:00:00 |
| 1 | 20.6 | none | none | andy stanfield | united states | los angeles, united states | 1952-06-28 00:00:00 |
| 2 | 20.6 | 0 | none | thane baker | united states | bakersfield, united states | 1956-06-23 00:00:00 |
| 3 | 20.6 | none | 20.75 | bobby mor | | | nat |
| 4 | | united states | melbourne, australia | november 27, 1956 | | | nat |
| 5 | 20.6 | none | none | manfred germar | west germany | wuppertal, germany | 1958-10-01 00:00:00 |
| 6 | 20.6y | -1.6 | none | ray norton | united states | berkeley, united states | 1960-03-19 00:00:00 |
| 7 | 20.6 | none | none | ray norton | united states | philadelphia, united states | 1960-04-30 00:00:00 |
| 8 | 20.5y | none | none | peter radford | united kingdom | wolverhampton, united kingdom | 1960-05-28 00:00:00 |
| 9 | 20.5 | 0 | 20.75 | stone johnson | united states | stanford, united states | 1960-07-02 00:00:00 |
| 10 | 20.5 | 0 | none | ray norton | united states | stanford, united states | 1960-07-02 00:00:00 |
| 11 | 20.5 | none | 20.65 | livio berruti | italy | rome, italy | 1960-09-03 00:00:00 |
| 12 | 20.5 | none | 20.62 | livio berruti | italy | rome, italy | 1960-09-03 00:00:00 |
| 13 | 20.5y | -1.1 | 20.67 | paul drayton | united states | walnut, united states | 1962-06-23 00:00:00 |
| 14 | 20.3y | -0.1 | none | henry carr | united states | tempe, united states | 1963-03-23 00:00:00 |
| 15 | 20.2y | 0.5 | none | henry carr | united states | tempe, united states | 1964-04-04 00:00:00 |
| 16 | 20.0y | 0 | none | tommie smith | united states | sacramento, united states | 1968-06-11 00:00:00 |
| 17 | 19.8a | 0.9 | 19.83a | tommie smith | united states | mexico city, mexico | 1968-10-16 00:00:00 |
| 18 | 19.8a | 0.9 | 19.86a | donald quarrie | jamaica | cali, colombia | 1971-08-03 00:00:00 |
| 19 | 19.8 | 1.3 | none | donald quarrie | jamaica | eugene, oregon, united states | 1975-06-07 00:00:00 | | | | "auto / auto" |
|---:|:----------------|
| 0 | auto / auto |
| 1 | auto / auto |
| 2 | auto / auto |
| 3 | auto / auto |
| 4 | auto / auto |
| 5 | auto / auto |
| 6 | auto / auto |
| 7 | auto / auto |
| 8 | auto / auto |
| 9 | auto / auto |
| 10 | auto / auto |
| 11 | auto / auto | | [
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select driver where pos = 2 col : pos | no | driver | team | laps | time/retired | grid | points row 1 : 1 | 5 | will power | team australia | 73 | 1:45:58.568 | 7 | 31 row 2 : 2 | 21 | neel jani | pkv racing | 73 | 2.972 | 9 | 28 row 3 : 3 | 9 | justin wilson | rsports | 73 | 3.48 | 2 | 25 row 4 : 4 | 15 | simon pagenaud | team australia | 73 | 5.643 | 4 | 23 row 5 : 5 | 19 | bruno junqueira | dale coyne racing | 73 | 20.738 | 5 | 21 row 6 : 6 | 14 | robert doornbos | minardi team usa | 72 | + 1 lap | 12 | 19 row 7 : 7 | 28 | ryan dalziel | pacific coast motorsports | 72 | + 1 lap | 11 | 17 row 8 : 8 | 8 | alex tagliani | rsports | 71 | + 2 laps | 6 | 15 row 9 : 9 | 1 | sebastien bourdais | n/h/l racing | 67 | contact | 1 | 16 row 10 : 10 | 7 | oriol servia | forsythe racing | 56 | contact | 3 | 11 row 11 : 11 | 2 | graham rahal | n/h/l racing | 52 | contact | 15 | 10 row 12 : 12 | 4 | dan clarke | minardi team usa | 43 | contact | 13 | 9 row 13 : 13 | 34 | jan heylen | conquest racing | 1 | contact | 8 | 8 row 14 : 14 | 3 | paul tracy | forsythe racing | 0 | contact | 10 | 7 row 15 : 15 | 22 | tristan gommendy | pkv racing | 0 | contact | 14 | 6 row 16 : 16 | 11 | katherine legge | dale coyne racing | 0 | contact | 16 | 5 row 17 : 17 | 29 | alex figge | pacific coast motorsports | 0 | contact | 17 | 4 | col : driver row 1 : neel jani | select driver where pos = 2 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & team & laps & time/retired & grid & points \\
\midrule
0 & 1 & 5 & will power & team australia & 73 & 1:45:58.568 & 7 & 31 \\
1 & 2 & 21 & neel jani & pkv racing & 73 & 2.972 & 9 & 28 \\
2 & 3 & 9 & justin wilson & rsports & 73 & 3.48 & 2 & 25 \\
3 & 4 & 15 & simon pagenaud & team australia & 73 & 5.643 & 4 & 23 \\
4 & 5 & 19 & bruno junqueira & dale coyne racing & 73 & 20.738 & 5 & 21 \\
5 & 6 & 14 & robert doornbos & minardi team usa & 72 & + 1 lap & 12 & 19 \\
6 & 7 & 28 & ryan dalziel & pacific coast motorsports & 72 & + 1 lap & 11 & 17 \\
7 & 8 & 8 & alex tagliani & rsports & 71 & + 2 laps & 6 & 15 \\
8 & 9 & 1 & sebastien bourdais & n/h/l racing & 67 & contact & 1 & 16 \\
9 & 10 & 7 & oriol servia & forsythe racing & 56 & contact & 3 & 11 \\
10 & 11 & 2 & graham rahal & n/h/l racing & 52 & contact & 15 & 10 \\
11 & 12 & 4 & dan clarke & minardi team usa & 43 & contact & 13 & 9 \\
12 & 13 & 34 & jan heylen & conquest racing & 1 & contact & 8 & 8 \\
13 & 14 & 3 & paul tracy & forsythe racing & 0 & contact & 10 & 7 \\
14 & 15 & 22 & tristan gommendy & pkv racing & 0 & contact & 14 & 6 \\
15 & 16 & 11 & katherine legge & dale coyne racing & 0 & contact & 16 & 5 \\
16 & 17 & 29 & alex figge & pacific coast motorsports & 0 & contact & 17 & 4 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& driver \\
\midrule
0 & neel jani \\
\bottomrule
\end{tabular}
| select driver where pos = 2 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>no</th>
<th>driver</th>
<th>team</th>
<th>laps</th>
<th>time/retired</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>5</td>
<td>will power</td>
<td>team australia</td>
<td>73</td>
<td>1:45:58.568</td>
<td>7</td>
<td>31</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>21</td>
<td>neel jani</td>
<td>pkv racing</td>
<td>73</td>
<td>2.972</td>
<td>9</td>
<td>28</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>9</td>
<td>justin wilson</td>
<td>rsports</td>
<td>73</td>
<td>3.48</td>
<td>2</td>
<td>25</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>15</td>
<td>simon pagenaud</td>
<td>team australia</td>
<td>73</td>
<td>5.643</td>
<td>4</td>
<td>23</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>19</td>
<td>bruno junqueira</td>
<td>dale coyne racing</td>
<td>73</td>
<td>20.738</td>
<td>5</td>
<td>21</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>14</td>
<td>robert doornbos</td>
<td>minardi team usa</td>
<td>72</td>
<td>+ 1 lap</td>
<td>12</td>
<td>19</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>28</td>
<td>ryan dalziel</td>
<td>pacific coast motorsports</td>
<td>72</td>
<td>+ 1 lap</td>
<td>11</td>
<td>17</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>8</td>
<td>alex tagliani</td>
<td>rsports</td>
<td>71</td>
<td>+ 2 laps</td>
<td>6</td>
<td>15</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>1</td>
<td>sebastien bourdais</td>
<td>n/h/l racing</td>
<td>67</td>
<td>contact</td>
<td>1</td>
<td>16</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>7</td>
<td>oriol servia</td>
<td>forsythe racing</td>
<td>56</td>
<td>contact</td>
<td>3</td>
<td>11</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2</td>
<td>graham rahal</td>
<td>n/h/l racing</td>
<td>52</td>
<td>contact</td>
<td>15</td>
<td>10</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>4</td>
<td>dan clarke</td>
<td>minardi team usa</td>
<td>43</td>
<td>contact</td>
<td>13</td>
<td>9</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>34</td>
<td>jan heylen</td>
<td>conquest racing</td>
<td>1</td>
<td>contact</td>
<td>8</td>
<td>8</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>3</td>
<td>paul tracy</td>
<td>forsythe racing</td>
<td>0</td>
<td>contact</td>
<td>10</td>
<td>7</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>22</td>
<td>tristan gommendy</td>
<td>pkv racing</td>
<td>0</td>
<td>contact</td>
<td>14</td>
<td>6</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>11</td>
<td>katherine legge</td>
<td>dale coyne racing</td>
<td>0</td>
<td>contact</td>
<td>16</td>
<td>5</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>29</td>
<td>alex figge</td>
<td>pacific coast motorsports</td>
<td>0</td>
<td>contact</td>
<td>17</td>
<td>4</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>driver</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>neel jani</td>
</tr>
</tbody>
</table> | select driver where pos = 2 <table_name> : table | | pos | no | driver | team | laps | time/retired | grid | points |
|---:|------:|-----:|:-------------------|:--------------------------|-------:|:---------------|-------:|---------:|
| 0 | 1 | 5 | will power | team australia | 73 | 1:45:58.568 | 7 | 31 |
| 1 | 2 | 21 | neel jani | pkv racing | 73 | 2.972 | 9 | 28 |
| 2 | 3 | 9 | justin wilson | rsports | 73 | 3.48 | 2 | 25 |
| 3 | 4 | 15 | simon pagenaud | team australia | 73 | 5.643 | 4 | 23 |
| 4 | 5 | 19 | bruno junqueira | dale coyne racing | 73 | 20.738 | 5 | 21 |
| 5 | 6 | 14 | robert doornbos | minardi team usa | 72 | + 1 lap | 12 | 19 |
| 6 | 7 | 28 | ryan dalziel | pacific coast motorsports | 72 | + 1 lap | 11 | 17 |
| 7 | 8 | 8 | alex tagliani | rsports | 71 | + 2 laps | 6 | 15 |
| 8 | 9 | 1 | sebastien bourdais | n/h/l racing | 67 | contact | 1 | 16 |
| 9 | 10 | 7 | oriol servia | forsythe racing | 56 | contact | 3 | 11 |
| 10 | 11 | 2 | graham rahal | n/h/l racing | 52 | contact | 15 | 10 |
| 11 | 12 | 4 | dan clarke | minardi team usa | 43 | contact | 13 | 9 |
| 12 | 13 | 34 | jan heylen | conquest racing | 1 | contact | 8 | 8 |
| 13 | 14 | 3 | paul tracy | forsythe racing | 0 | contact | 10 | 7 |
| 14 | 15 | 22 | tristan gommendy | pkv racing | 0 | contact | 14 | 6 |
| 15 | 16 | 11 | katherine legge | dale coyne racing | 0 | contact | 16 | 5 |
| 16 | 17 | 29 | alex figge | pacific coast motorsports | 0 | contact | 17 | 4 | | | | driver |
|---:|:----------|
| 0 | neel jani | | [
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select count ( * ) where name = 'fobos-grunt' col : launch date | operator | name | sample origin | samples returned | recovery date | mission result row 1 : june 14, 1969 | none | luna e-8-5 no.402 | the moon | none | none | failure launch failure row 2 : july 13, 1969 | none | luna 15 | the moon | none | none | failure crash-landed on the moon row 3 : 23 september 1969 | none | cosmos 300 | the moon | none | none | failure failed to leave earth orbit row 4 : 22 october 1969 | none | cosmos 305 | the moon | none | none | failure failed to leave earth orbit row 5 : 6 february 1970 | none | luna e-8-5 no.405 | the moon | none | none | failure launch failure row 6 : september 12, 1970 | none | luna 16 | the moon | 101 grams (3.6 oz) of lunar rock | september 24, 1970 | success row 7 : september 2, 1971 | none | luna 18 | the moon | none | none | failure crash-landed on the moon row 8 : february 14, 1972 | none | luna 20 | the moon | 55 grams (1.9 oz) of lunar rock | february 25, 1972 | success row 9 : november 2, 1974 | none | luna 23 | the moon | none | none | failure drilling device damaged on moon landing mission abandoned row 10 : october 16, 1975 | none | luna e-8-5m no.412 | the moon | none | none | failure launch failure row 11 : august 9, 1976 | none | luna 24 | the moon | 170 grams (6.0 oz) of lunar rock | august 22, 1976 | success row 12 : 1979 (planned) (canceled 1977) | none | mars 79 ("mars 5m") | mars | none | none | canceled in 1977 planned to return 500 grams (18 oz) row 13 : february 7, 1999 | none | stardust | 81p/wild (comet coma) | over 1 million comet particles | january 15, 2006 | success row 14 : august 8, 2001 | none | genesis | solar wind | solar wind particles | september 8, 2004 | partial success return capsule damaged after failed parachute deployment some usable samples recovered row 15 : may 9, 2003 | none | hayabusa | 25143 itokawa (asteroid surface) | 1,500 grains of asteroid particles | june 13, 2010 | partial success planned to return several hundred milligrams row 16 : november 8, 2011 | none | fobos-grunt | phobos (mars satellite soil) | none | none | failure failed to leave earth orbit crashed into the southern pacific ocean returned none of the 200 grams (7.1 oz) planned row 17 : july 2014 (planned, earliest) | none | hayabusa 2 | planned for (162173) 1999 ju3 (asteroid surface) | none | 2020 (planned) | none row 18 : 2016 (planned) | none | osiris-rex | planned for 101955 bennu (asteroid regolith) | none | 2023 (planned) | planned to return between 60 g to 2 kg (2.1 oz to 4.4 lb) row 19 : 2017 (planned) | none | chang'e 5 | the moon | none | 2017 (planned) | planned to return at least 2 kilograms (4.4 lb) row 20 : 2020-2022 (proposed) | none | marcopolo-r | near-earth object (asteroid surface) | none | to be determined | to return samples from a yet to be determined near-earth object row 21 : 2020/2021 (planned) | none | luna-grunt | the moon | none | 2021 (planned) | planned to return up to 1 kilogram (2.2 lb) row 22 : mid-2020s (proposed) | none | meji msr | mars | none | to be determined | to be determined row 23 : mid-2020s (proposed) | none | mars-grunt | mars | none | to be determined | intended to return about 200 grams (7.1 oz) row 24 : by 2030 | none | chinese mars sample return mission | mars | none | to be determined | to be determined row 25 : to be determined | (private) | openluna | the moon | none | to be determined | intended to return about 200 kilograms (440 lb) | col : count ( "*" ) row 1 : 1 | select count ( * ) where name = 'fobos-grunt' <table_name> : table \begin{tabular}{llllllll}
\toprule
& launch date & operator & name & sample origin & samples returned & recovery date & mission result \\
\midrule
0 & june 14, 1969 & none & luna e-8-5 no.402 & the moon & none & none & failure launch failure \\
1 & july 13, 1969 & none & luna 15 & the moon & none & none & failure crash-landed on the moon \\
2 & 23 september 1969 & none & cosmos 300 & the moon & none & none & failure failed to leave earth orbit \\
3 & 22 october 1969 & none & cosmos 305 & the moon & none & none & failure failed to leave earth orbit \\
4 & 6 february 1970 & none & luna e-8-5 no.405 & the moon & none & none & failure launch failure \\
5 & september 12, 1970 & none & luna 16 & the moon & 101 grams (3.6 oz) of lunar rock & september 24, 1970 & success \\
6 & september 2, 1971 & none & luna 18 & the moon & none & none & failure crash-landed on the moon \\
7 & february 14, 1972 & none & luna 20 & the moon & 55 grams (1.9 oz) of lunar rock & february 25, 1972 & success \\
8 & november 2, 1974 & none & luna 23 & the moon & none & none & failure drilling device damaged on moon landing mission abandoned \\
9 & october 16, 1975 & none & luna e-8-5m no.412 & the moon & none & none & failure launch failure \\
10 & august 9, 1976 & none & luna 24 & the moon & 170 grams (6.0 oz) of lunar rock & august 22, 1976 & success \\
11 & 1979 (planned) (canceled 1977) & none & mars 79 ("mars 5m") & mars & none & none & canceled in 1977 planned to return 500 grams (18 oz) \\
12 & february 7, 1999 & none & stardust & 81p/wild (comet coma) & over 1 million comet particles & january 15, 2006 & success \\
13 & august 8, 2001 & none & genesis & solar wind & solar wind particles & september 8, 2004 & partial success return capsule damaged after failed parachute deployment some usable samples recovered \\
14 & may 9, 2003 & none & hayabusa & 25143 itokawa (asteroid surface) & 1,500 grains of asteroid particles & june 13, 2010 & partial success planned to return several hundred milligrams \\
15 & november 8, 2011 & none & fobos-grunt & phobos (mars satellite soil) & none & none & failure failed to leave earth orbit crashed into the southern pacific ocean returned none of the 200 grams (7.1 oz) planned \\
16 & july 2014 (planned, earliest) & none & hayabusa 2 & planned for (162173) 1999 ju3 (asteroid surface) & none & 2020 (planned) & none \\
17 & 2016 (planned) & none & osiris-rex & planned for 101955 bennu (asteroid regolith) & none & 2023 (planned) & planned to return between 60 g to 2 kg (2.1 oz to 4.4 lb) \\
18 & 2017 (planned) & none & chang'e 5 & the moon & none & 2017 (planned) & planned to return at least 2 kilograms (4.4 lb) \\
19 & 2020-2022 (proposed) & none & marcopolo-r & near-earth object (asteroid surface) & none & to be determined & to return samples from a yet to be determined near-earth object \\
20 & 2020/2021 (planned) & none & luna-grunt & the moon & none & 2021 (planned) & planned to return up to 1 kilogram (2.2 lb) \\
21 & mid-2020s (proposed) & none & meji msr & mars & none & to be determined & to be determined \\
22 & mid-2020s (proposed) & none & mars-grunt & mars & none & to be determined & intended to return about 200 grams (7.1 oz) \\
23 & by 2030 & none & chinese mars sample return mission & mars & none & to be determined & to be determined \\
24 & to be determined & (private) & openluna & the moon & none & to be determined & intended to return about 200 kilograms (440 lb) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where name = 'fobos-grunt' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>launch date</th>
<th>operator</th>
<th>name</th>
<th>sample origin</th>
<th>samples returned</th>
<th>recovery date</th>
<th>mission result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>june 14, 1969</td>
<td>none</td>
<td>luna e-8-5 no.402</td>
<td>the moon</td>
<td>none</td>
<td>none</td>
<td>failure launch failure</td>
</tr>
<tr>
<th>1</th>
<td>july 13, 1969</td>
<td>none</td>
<td>luna 15</td>
<td>the moon</td>
<td>none</td>
<td>none</td>
<td>failure crash-landed on the moon</td>
</tr>
<tr>
<th>2</th>
<td>23 september 1969</td>
<td>none</td>
<td>cosmos 300</td>
<td>the moon</td>
<td>none</td>
<td>none</td>
<td>failure failed to leave earth orbit</td>
</tr>
<tr>
<th>3</th>
<td>22 october 1969</td>
<td>none</td>
<td>cosmos 305</td>
<td>the moon</td>
<td>none</td>
<td>none</td>
<td>failure failed to leave earth orbit</td>
</tr>
<tr>
<th>4</th>
<td>6 february 1970</td>
<td>none</td>
<td>luna e-8-5 no.405</td>
<td>the moon</td>
<td>none</td>
<td>none</td>
<td>failure launch failure</td>
</tr>
<tr>
<th>5</th>
<td>september 12, 1970</td>
<td>none</td>
<td>luna 16</td>
<td>the moon</td>
<td>101 grams (3.6 oz) of lunar rock</td>
<td>september 24, 1970</td>
<td>success</td>
</tr>
<tr>
<th>6</th>
<td>september 2, 1971</td>
<td>none</td>
<td>luna 18</td>
<td>the moon</td>
<td>none</td>
<td>none</td>
<td>failure crash-landed on the moon</td>
</tr>
<tr>
<th>7</th>
<td>february 14, 1972</td>
<td>none</td>
<td>luna 20</td>
<td>the moon</td>
<td>55 grams (1.9 oz) of lunar rock</td>
<td>february 25, 1972</td>
<td>success</td>
</tr>
<tr>
<th>8</th>
<td>november 2, 1974</td>
<td>none</td>
<td>luna 23</td>
<td>the moon</td>
<td>none</td>
<td>none</td>
<td>failure drilling device damaged on moon landing mission abandoned</td>
</tr>
<tr>
<th>9</th>
<td>october 16, 1975</td>
<td>none</td>
<td>luna e-8-5m no.412</td>
<td>the moon</td>
<td>none</td>
<td>none</td>
<td>failure launch failure</td>
</tr>
<tr>
<th>10</th>
<td>august 9, 1976</td>
<td>none</td>
<td>luna 24</td>
<td>the moon</td>
<td>170 grams (6.0 oz) of lunar rock</td>
<td>august 22, 1976</td>
<td>success</td>
</tr>
<tr>
<th>11</th>
<td>1979 (planned) (canceled 1977)</td>
<td>none</td>
<td>mars 79 ("mars 5m")</td>
<td>mars</td>
<td>none</td>
<td>none</td>
<td>canceled in 1977 planned to return 500 grams (18 oz)</td>
</tr>
<tr>
<th>12</th>
<td>february 7, 1999</td>
<td>none</td>
<td>stardust</td>
<td>81p/wild (comet coma)</td>
<td>over 1 million comet particles</td>
<td>january 15, 2006</td>
<td>success</td>
</tr>
<tr>
<th>13</th>
<td>august 8, 2001</td>
<td>none</td>
<td>genesis</td>
<td>solar wind</td>
<td>solar wind particles</td>
<td>september 8, 2004</td>
<td>partial success return capsule damaged after failed parachute deployment some usable samples recovered</td>
</tr>
<tr>
<th>14</th>
<td>may 9, 2003</td>
<td>none</td>
<td>hayabusa</td>
<td>25143 itokawa (asteroid surface)</td>
<td>1,500 grains of asteroid particles</td>
<td>june 13, 2010</td>
<td>partial success planned to return several hundred milligrams</td>
</tr>
<tr>
<th>15</th>
<td>november 8, 2011</td>
<td>none</td>
<td>fobos-grunt</td>
<td>phobos (mars satellite soil)</td>
<td>none</td>
<td>none</td>
<td>failure failed to leave earth orbit crashed into the southern pacific ocean returned none of the 200 grams (7.1 oz) planned</td>
</tr>
<tr>
<th>16</th>
<td>july 2014 (planned, earliest)</td>
<td>none</td>
<td>hayabusa 2</td>
<td>planned for (162173) 1999 ju3 (asteroid surface)</td>
<td>none</td>
<td>2020 (planned)</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>2016 (planned)</td>
<td>none</td>
<td>osiris-rex</td>
<td>planned for 101955 bennu (asteroid regolith)</td>
<td>none</td>
<td>2023 (planned)</td>
<td>planned to return between 60 g to 2 kg (2.1 oz to 4.4 lb)</td>
</tr>
<tr>
<th>18</th>
<td>2017 (planned)</td>
<td>none</td>
<td>chang'e 5</td>
<td>the moon</td>
<td>none</td>
<td>2017 (planned)</td>
<td>planned to return at least 2 kilograms (4.4 lb)</td>
</tr>
<tr>
<th>19</th>
<td>2020-2022 (proposed)</td>
<td>none</td>
<td>marcopolo-r</td>
<td>near-earth object (asteroid surface)</td>
<td>none</td>
<td>to be determined</td>
<td>to return samples from a yet to be determined near-earth object</td>
</tr>
<tr>
<th>20</th>
<td>2020/2021 (planned)</td>
<td>none</td>
<td>luna-grunt</td>
<td>the moon</td>
<td>none</td>
<td>2021 (planned)</td>
<td>planned to return up to 1 kilogram (2.2 lb)</td>
</tr>
<tr>
<th>21</th>
<td>mid-2020s (proposed)</td>
<td>none</td>
<td>meji msr</td>
<td>mars</td>
<td>none</td>
<td>to be determined</td>
<td>to be determined</td>
</tr>
<tr>
<th>22</th>
<td>mid-2020s (proposed)</td>
<td>none</td>
<td>mars-grunt</td>
<td>mars</td>
<td>none</td>
<td>to be determined</td>
<td>intended to return about 200 grams (7.1 oz)</td>
</tr>
<tr>
<th>23</th>
<td>by 2030</td>
<td>none</td>
<td>chinese mars sample return mission</td>
<td>mars</td>
<td>none</td>
<td>to be determined</td>
<td>to be determined</td>
</tr>
<tr>
<th>24</th>
<td>to be determined</td>
<td>(private)</td>
<td>openluna</td>
<td>the moon</td>
<td>none</td>
<td>to be determined</td>
<td>intended to return about 200 kilograms (440 lb)</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 name = 'fobos-grunt' <table_name> : table | | launch date | operator | name | sample origin | samples returned | recovery date | mission result |
|---:|:-------------------------------|:-----------|:-----------------------------------|:-------------------------------------------------|:-----------------------------------|:-------------------|:----------------------------------------------------------------------------------------------------------------------------|
| 0 | june 14, 1969 | none | luna e-8-5 no.402 | the moon | none | none | failure launch failure |
| 1 | july 13, 1969 | none | luna 15 | the moon | none | none | failure crash-landed on the moon |
| 2 | 23 september 1969 | none | cosmos 300 | the moon | none | none | failure failed to leave earth orbit |
| 3 | 22 october 1969 | none | cosmos 305 | the moon | none | none | failure failed to leave earth orbit |
| 4 | 6 february 1970 | none | luna e-8-5 no.405 | the moon | none | none | failure launch failure |
| 5 | september 12, 1970 | none | luna 16 | the moon | 101 grams (3.6 oz) of lunar rock | september 24, 1970 | success |
| 6 | september 2, 1971 | none | luna 18 | the moon | none | none | failure crash-landed on the moon |
| 7 | february 14, 1972 | none | luna 20 | the moon | 55 grams (1.9 oz) of lunar rock | february 25, 1972 | success |
| 8 | november 2, 1974 | none | luna 23 | the moon | none | none | failure drilling device damaged on moon landing mission abandoned |
| 9 | october 16, 1975 | none | luna e-8-5m no.412 | the moon | none | none | failure launch failure |
| 10 | august 9, 1976 | none | luna 24 | the moon | 170 grams (6.0 oz) of lunar rock | august 22, 1976 | success |
| 11 | 1979 (planned) (canceled 1977) | none | mars 79 ("mars 5m") | mars | none | none | canceled in 1977 planned to return 500 grams (18 oz) |
| 12 | february 7, 1999 | none | stardust | 81p/wild (comet coma) | over 1 million comet particles | january 15, 2006 | success |
| 13 | august 8, 2001 | none | genesis | solar wind | solar wind particles | september 8, 2004 | partial success return capsule damaged after failed parachute deployment some usable samples recovered |
| 14 | may 9, 2003 | none | hayabusa | 25143 itokawa (asteroid surface) | 1,500 grains of asteroid particles | june 13, 2010 | partial success planned to return several hundred milligrams |
| 15 | november 8, 2011 | none | fobos-grunt | phobos (mars satellite soil) | none | none | failure failed to leave earth orbit crashed into the southern pacific ocean returned none of the 200 grams (7.1 oz) planned |
| 16 | july 2014 (planned, earliest) | none | hayabusa 2 | planned for (162173) 1999 ju3 (asteroid surface) | none | 2020 (planned) | none |
| 17 | 2016 (planned) | none | osiris-rex | planned for 101955 bennu (asteroid regolith) | none | 2023 (planned) | planned to return between 60 g to 2 kg (2.1 oz to 4.4 lb) |
| 18 | 2017 (planned) | none | chang'e 5 | the moon | none | 2017 (planned) | planned to return at least 2 kilograms (4.4 lb) |
| 19 | 2020-2022 (proposed) | none | marcopolo-r | near-earth object (asteroid surface) | none | to be determined | to return samples from a yet to be determined near-earth object |
| 20 | 2020/2021 (planned) | none | luna-grunt | the moon | none | 2021 (planned) | planned to return up to 1 kilogram (2.2 lb) |
| 21 | mid-2020s (proposed) | none | meji msr | mars | none | to be determined | to be determined |
| 22 | mid-2020s (proposed) | none | mars-grunt | mars | none | to be determined | intended to return about 200 grams (7.1 oz) |
| 23 | by 2030 | none | chinese mars sample return mission | mars | none | to be determined | to be determined |
| 24 | to be determined | (private) | openluna | the moon | none | to be determined | intended to return about 200 kilograms (440 lb) | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select playoffs appearances where team = 'denver nuggets' col : team | city | years active | seasons played | win-loss record | win% | playoffs appearances row 1 : anderson packers | anderson, indiana | 1949-1950 | 1 | 37-27 | 0.578 | 1 row 2 : baa buffalo | buffalo, new york | never played | 0 | 0-0 | none | 0 row 3 : baa indianapolis | indianapolis, indiana | never played | 0 | 0-0 | none | 0 row 4 : baltimore bullets | baltimore, maryland | 1947-1954 | 8 | 158-292 | 0.351 | 3 row 5 : chicago stags | chicago, illinois | 1946-1950 | 4 | 145-92 | 0.612 | 4 row 6 : cleveland rebels | cleveland, ohio | 1946-1947 | 1 | 30-30 | 0.5 | 1 row 7 : denver nuggets | denver, colorado | 1949-1950 | 1 | 11-51 | 0.177 | 0 row 8 : detroit falcons | detroit, michigan | 1946-1947 | 1 | 20-40 | 0.333 | 0 row 9 : indianapolis jets | indianapolis, indiana | 1948-1949 | 1 | 18-42 | 0.3 | 0 row 10 : indianapolis olympians | indianapolis, indiana | 1949-1953 | 4 | 132-137 | 0.491 | 4 row 11 : pittsburgh ironmen | pittsburgh, pennsylvania | 1946-1947 | 1 | 15-45 | 0.25 | 0 row 12 : providence steamrollers | providence, rhode island | 1946-1949 | 3 | 46-122 | 0.274 | 0 row 13 : sheboygan red skins | sheboygan, wisconsin | 1949-1950 | 1 | 22-40 | 0.355 | 1 row 14 : st. louis bombers | st. louis, missouri | 1946-1950 | 4 | 122-115 | 0.515 | 3 row 15 : toronto huskies | toronto, ontario | 1946-1947 | 1 | 22-38 | 0.367 | 0 row 16 : washington capitols | washington, d.c | 1946-1951 | 5 | 157-114 | 0.579 | 4 row 17 : waterloo hawks | waterloo, iowa | 1949-1950 | 1 | 19-43 | 0.306 | 0 | col : playoffs appearances row 1 : 0 | select playoffs appearances where team = 'denver nuggets' <table_name> : table \begin{tabular}{llllllll}
\toprule
& team & city & years active & seasons played & win-loss record & win% & playoffs appearances \\
\midrule
0 & anderson packers & anderson, indiana & 1949-1950 & 1 & 37-27 & 0.578 & 1 \\
1 & baa buffalo & buffalo, new york & never played & 0 & 0-0 & none & 0 \\
2 & baa indianapolis & indianapolis, indiana & never played & 0 & 0-0 & none & 0 \\
3 & baltimore bullets & baltimore, maryland & 1947-1954 & 8 & 158-292 & 0.351 & 3 \\
4 & chicago stags & chicago, illinois & 1946-1950 & 4 & 145-92 & 0.612 & 4 \\
5 & cleveland rebels & cleveland, ohio & 1946-1947 & 1 & 30-30 & 0.5 & 1 \\
6 & denver nuggets & denver, colorado & 1949-1950 & 1 & 11-51 & 0.177 & 0 \\
7 & detroit falcons & detroit, michigan & 1946-1947 & 1 & 20-40 & 0.333 & 0 \\
8 & indianapolis jets & indianapolis, indiana & 1948-1949 & 1 & 18-42 & 0.3 & 0 \\
9 & indianapolis olympians & indianapolis, indiana & 1949-1953 & 4 & 132-137 & 0.491 & 4 \\
10 & pittsburgh ironmen & pittsburgh, pennsylvania & 1946-1947 & 1 & 15-45 & 0.25 & 0 \\
11 & providence steamrollers & providence, rhode island & 1946-1949 & 3 & 46-122 & 0.274 & 0 \\
12 & sheboygan red skins & sheboygan, wisconsin & 1949-1950 & 1 & 22-40 & 0.355 & 1 \\
13 & st. louis bombers & st. louis, missouri & 1946-1950 & 4 & 122-115 & 0.515 & 3 \\
14 & toronto huskies & toronto, ontario & 1946-1947 & 1 & 22-38 & 0.367 & 0 \\
15 & washington capitols & washington, d.c & 1946-1951 & 5 & 157-114 & 0.579 & 4 \\
16 & waterloo hawks & waterloo, iowa & 1949-1950 & 1 & 19-43 & 0.306 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& playoffs appearances \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select playoffs appearances where team = 'denver nuggets' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
<th>city</th>
<th>years active</th>
<th>seasons played</th>
<th>win-loss record</th>
<th>win%</th>
<th>playoffs appearances</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>anderson packers</td>
<td>anderson, indiana</td>
<td>1949-1950</td>
<td>1</td>
<td>37-27</td>
<td>0.578</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>baa buffalo</td>
<td>buffalo, new york</td>
<td>never played</td>
<td>0</td>
<td>0-0</td>
<td>none</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>baa indianapolis</td>
<td>indianapolis, indiana</td>
<td>never played</td>
<td>0</td>
<td>0-0</td>
<td>none</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>baltimore bullets</td>
<td>baltimore, maryland</td>
<td>1947-1954</td>
<td>8</td>
<td>158-292</td>
<td>0.351</td>
<td>3</td>
</tr>
<tr>
<th>4</th>
<td>chicago stags</td>
<td>chicago, illinois</td>
<td>1946-1950</td>
<td>4</td>
<td>145-92</td>
<td>0.612</td>
<td>4</td>
</tr>
<tr>
<th>5</th>
<td>cleveland rebels</td>
<td>cleveland, ohio</td>
<td>1946-1947</td>
<td>1</td>
<td>30-30</td>
<td>0.5</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>denver nuggets</td>
<td>denver, colorado</td>
<td>1949-1950</td>
<td>1</td>
<td>11-51</td>
<td>0.177</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>detroit falcons</td>
<td>detroit, michigan</td>
<td>1946-1947</td>
<td>1</td>
<td>20-40</td>
<td>0.333</td>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>indianapolis jets</td>
<td>indianapolis, indiana</td>
<td>1948-1949</td>
<td>1</td>
<td>18-42</td>
<td>0.3</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>indianapolis olympians</td>
<td>indianapolis, indiana</td>
<td>1949-1953</td>
<td>4</td>
<td>132-137</td>
<td>0.491</td>
<td>4</td>
</tr>
<tr>
<th>10</th>
<td>pittsburgh ironmen</td>
<td>pittsburgh, pennsylvania</td>
<td>1946-1947</td>
<td>1</td>
<td>15-45</td>
<td>0.25</td>
<td>0</td>
</tr>
<tr>
<th>11</th>
<td>providence steamrollers</td>
<td>providence, rhode island</td>
<td>1946-1949</td>
<td>3</td>
<td>46-122</td>
<td>0.274</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>sheboygan red skins</td>
<td>sheboygan, wisconsin</td>
<td>1949-1950</td>
<td>1</td>
<td>22-40</td>
<td>0.355</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>st. louis bombers</td>
<td>st. louis, missouri</td>
<td>1946-1950</td>
<td>4</td>
<td>122-115</td>
<td>0.515</td>
<td>3</td>
</tr>
<tr>
<th>14</th>
<td>toronto huskies</td>
<td>toronto, ontario</td>
<td>1946-1947</td>
<td>1</td>
<td>22-38</td>
<td>0.367</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>washington capitols</td>
<td>washington, d.c</td>
<td>1946-1951</td>
<td>5</td>
<td>157-114</td>
<td>0.579</td>
<td>4</td>
</tr>
<tr>
<th>16</th>
<td>waterloo hawks</td>
<td>waterloo, iowa</td>
<td>1949-1950</td>
<td>1</td>
<td>19-43</td>
<td>0.306</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>playoffs appearances</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select playoffs appearances where team = 'denver nuggets' <table_name> : table | | team | city | years active | seasons played | win-loss record | win% | playoffs appearances |
|---:|:------------------------|:-------------------------|:---------------|-----------------:|:------------------|:-------|-----------------------:|
| 0 | anderson packers | anderson, indiana | 1949-1950 | 1 | 37-27 | 0.578 | 1 |
| 1 | baa buffalo | buffalo, new york | never played | 0 | 0-0 | none | 0 |
| 2 | baa indianapolis | indianapolis, indiana | never played | 0 | 0-0 | none | 0 |
| 3 | baltimore bullets | baltimore, maryland | 1947-1954 | 8 | 158-292 | 0.351 | 3 |
| 4 | chicago stags | chicago, illinois | 1946-1950 | 4 | 145-92 | 0.612 | 4 |
| 5 | cleveland rebels | cleveland, ohio | 1946-1947 | 1 | 30-30 | 0.5 | 1 |
| 6 | denver nuggets | denver, colorado | 1949-1950 | 1 | 11-51 | 0.177 | 0 |
| 7 | detroit falcons | detroit, michigan | 1946-1947 | 1 | 20-40 | 0.333 | 0 |
| 8 | indianapolis jets | indianapolis, indiana | 1948-1949 | 1 | 18-42 | 0.3 | 0 |
| 9 | indianapolis olympians | indianapolis, indiana | 1949-1953 | 4 | 132-137 | 0.491 | 4 |
| 10 | pittsburgh ironmen | pittsburgh, pennsylvania | 1946-1947 | 1 | 15-45 | 0.25 | 0 |
| 11 | providence steamrollers | providence, rhode island | 1946-1949 | 3 | 46-122 | 0.274 | 0 |
| 12 | sheboygan red skins | sheboygan, wisconsin | 1949-1950 | 1 | 22-40 | 0.355 | 1 |
| 13 | st. louis bombers | st. louis, missouri | 1946-1950 | 4 | 122-115 | 0.515 | 3 |
| 14 | toronto huskies | toronto, ontario | 1946-1947 | 1 | 22-38 | 0.367 | 0 |
| 15 | washington capitols | washington, d.c | 1946-1951 | 5 | 157-114 | 0.579 | 4 |
| 16 | waterloo hawks | waterloo, iowa | 1949-1950 | 1 | 19-43 | 0.306 | 0 | | | | playoffs appearances |
|---:|-----------------------:|
| 0 | 0 | | [
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] |
select count ( result ) where scorers = 'none' 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 ( "result" ) row 1 : 17 | select count ( result ) where scorers = 'none' <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 ( "result" ) \\
\midrule
0 & 17 \\
\bottomrule
\end{tabular}
| select count ( result ) where scorers = 'none' <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 ( "result" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>17</td>
</tr>
</tbody>
</table> | select count ( result ) where scorers = 'none' <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 ( "result" ) |
|---:|---------------------:|
| 0 | 17 | | [
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select educational background - field(s) where alma mater = 'warsaw university of technology' col : number | name | term started | term ended | alma mater | field(s) | educational background row 1 : 1 | dr abdus salam | 1961 | 1967 | imperial college | theoretical physics | doctor of philosophy (ph.d) row 2 : 2 | air commodore dr władysław turowicz | 1967 | 1979 | warsaw university of technology | aeronautical engineering | ph.d row 3 : 3 | air commodore k. m. ahmad | 1979 | 1980 | pakistan air force academy | flight instructor | certificated flight instructor (cfi) row 4 : 4 | dr salim mehmud | 1980 | 1989 | oak ridge institute for science and education and oak ridge national laboratory | nuclear engineering, electrical engineering, physics, mathematics, electronics engineering | ph.d row 5 : 5 | dr m. shafi ahmad | 1989 | 1990 | university of london | astronomy | ph.d row 6 : 6 | engr.sikandar zaman | 1990 | 1997 | university of leeds | mechanical engineering | bachelor of science (b.s.) row 7 : 7 | dr abdul majid | 1997 | 2001 | university of wales | astrophysics | ph.d row 8 : 8 | major general raza hussain | 2001 | 2010 | pakistan army corps of electrical and mechanical engineers | electrical engineering | b.s row 9 : 9 | major general ahmed bilal | 2010 | present | pakistan army corps of signals engineering | computer engineering | master of science (m.s) | col : "educational background - field(s)" row 1 : educational background - field(s) | select educational background - field(s) where alma mater = 'warsaw university of technology' <table_name> : table \begin{tabular}{llllllll}
\toprule
& number & name & term started & term ended & alma mater & field(s) & educational background \\
\midrule
0 & 1 & dr abdus salam & 1961 & 1967 & imperial college & theoretical physics & doctor of philosophy (ph.d) \\
1 & 2 & air commodore dr władysław turowicz & 1967 & 1979 & warsaw university of technology & aeronautical engineering & ph.d \\
2 & 3 & air commodore k. m. ahmad & 1979 & 1980 & pakistan air force academy & flight instructor & certificated flight instructor (cfi) \\
3 & 4 & dr salim mehmud & 1980 & 1989 & oak ridge institute for science and education and oak ridge national laboratory & nuclear engineering, electrical engineering, physics, mathematics, electronics engineering & ph.d \\
4 & 5 & dr m. shafi ahmad & 1989 & 1990 & university of london & astronomy & ph.d \\
5 & 6 & engr.sikandar zaman & 1990 & 1997 & university of leeds & mechanical engineering & bachelor of science (b.s.) \\
6 & 7 & dr abdul majid & 1997 & 2001 & university of wales & astrophysics & ph.d \\
7 & 8 & major general raza hussain & 2001 & 2010 & pakistan army corps of electrical and mechanical engineers & electrical engineering & b.s \\
8 & 9 & major general ahmed bilal & 2010 & present & pakistan army corps of signals engineering & computer engineering & master of science (m.s) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "educational background - field(s)" \\
\midrule
0 & educational background - field(s) \\
\bottomrule
\end{tabular}
| select educational background - field(s) where alma mater = 'warsaw university of technology' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>number</th>
<th>name</th>
<th>term started</th>
<th>term ended</th>
<th>alma mater</th>
<th>field(s)</th>
<th>educational background</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>dr abdus salam</td>
<td>1961</td>
<td>1967</td>
<td>imperial college</td>
<td>theoretical physics</td>
<td>doctor of philosophy (ph.d)</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>air commodore dr władysław turowicz</td>
<td>1967</td>
<td>1979</td>
<td>warsaw university of technology</td>
<td>aeronautical engineering</td>
<td>ph.d</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>air commodore k. m. ahmad</td>
<td>1979</td>
<td>1980</td>
<td>pakistan air force academy</td>
<td>flight instructor</td>
<td>certificated flight instructor (cfi)</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>dr salim mehmud</td>
<td>1980</td>
<td>1989</td>
<td>oak ridge institute for science and education and oak ridge national laboratory</td>
<td>nuclear engineering, electrical engineering, physics, mathematics, electronics engineering</td>
<td>ph.d</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>dr m. shafi ahmad</td>
<td>1989</td>
<td>1990</td>
<td>university of london</td>
<td>astronomy</td>
<td>ph.d</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>engr.sikandar zaman</td>
<td>1990</td>
<td>1997</td>
<td>university of leeds</td>
<td>mechanical engineering</td>
<td>bachelor of science (b.s.)</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>dr abdul majid</td>
<td>1997</td>
<td>2001</td>
<td>university of wales</td>
<td>astrophysics</td>
<td>ph.d</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>major general raza hussain</td>
<td>2001</td>
<td>2010</td>
<td>pakistan army corps of electrical and mechanical engineers</td>
<td>electrical engineering</td>
<td>b.s</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>major general ahmed bilal</td>
<td>2010</td>
<td>present</td>
<td>pakistan army corps of signals engineering</td>
<td>computer engineering</td>
<td>master of science (m.s)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"educational background - field(s)"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>educational background - field(s)</td>
</tr>
</tbody>
</table> | select educational background - field(s) where alma mater = 'warsaw university of technology' <table_name> : table | | number | name | term started | term ended | alma mater | field(s) | educational background |
|---:|---------:|:------------------------------------|---------------:|:-------------|:--------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------|:-------------------------------------|
| 0 | 1 | dr abdus salam | 1961 | 1967 | imperial college | theoretical physics | doctor of philosophy (ph.d) |
| 1 | 2 | air commodore dr władysław turowicz | 1967 | 1979 | warsaw university of technology | aeronautical engineering | ph.d |
| 2 | 3 | air commodore k. m. ahmad | 1979 | 1980 | pakistan air force academy | flight instructor | certificated flight instructor (cfi) |
| 3 | 4 | dr salim mehmud | 1980 | 1989 | oak ridge institute for science and education and oak ridge national laboratory | nuclear engineering, electrical engineering, physics, mathematics, electronics engineering | ph.d |
| 4 | 5 | dr m. shafi ahmad | 1989 | 1990 | university of london | astronomy | ph.d |
| 5 | 6 | engr.sikandar zaman | 1990 | 1997 | university of leeds | mechanical engineering | bachelor of science (b.s.) |
| 6 | 7 | dr abdul majid | 1997 | 2001 | university of wales | astrophysics | ph.d |
| 7 | 8 | major general raza hussain | 2001 | 2010 | pakistan army corps of electrical and mechanical engineers | electrical engineering | b.s |
| 8 | 9 | major general ahmed bilal | 2010 | present | pakistan army corps of signals engineering | computer engineering | master of science (m.s) | | | | "educational background - field(s)" |
|---:|:--------------------------------------|
| 0 | educational background - field(s) | | [
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select attendance where date = 'november 29' limit 1367 col : date | time | opponent# | rank# | site | tv | result | attendance row 1 : august 30 | 8:00 pm | vs. alabama | #9 | georgia dome • atlanta, ga (chick-fil-a college kickoff) | abc | l 10-34 | 70097 row 2 : september 6 | 3:30 pm | the citadel | #22 | memorial stadium • clemson, sc (military appreciation day) | none | w 45-17 | 76794 row 3 : september 13 | 12:00 pm | nc state | #23 | memorial stadium • clemson, sc (textile bowl/hall of fame day) | raycom | w 27-9 | 77071 row 4 : september 20 | 1:00 pm | sc state | #21 | memorial stadium • clemson, sc (youth day) | none | w 54-0 | 78607 row 5 : september 27 | 12:00 pm | maryland | #19 | memorial stadium • clemson, sc (family weekend) | raycom | l 17-20 | 81500 row 6 : october 9 | 7:45 pm | at wake forest | none | bb&t field • winston-salem, nc | espn | l 7-12 | 33988 row 7 : october 18 | 12:00 pm | georgia tech | none | memorial stadium • clemson, sc (iptay day) | espn | l 17-21 | 81500 row 8 : november 1 | 3:30 pm | at boston college | none | alumni stadium • chestnut hill, ma (o'rourke-mcfadden trophy) | espnu | w 27-21 | 41863 row 9 : november 8 | 3:30 pm | at #24 florida state | none | doak campbell stadium • tallahassee, fl | abc | l 27-41 | 77013 row 10 : november 15 | 12:00 pm | duke | none | memorial stadium • clemson, sc (homecoming) | raycom | w 31-7 | 76217 row 11 : november 22 | 12:00 pm | at virginia | none | scott stadium • charlottesville, va | raycom | w 13-3 | 51979 row 12 : november 29 | 12:00 pm | south carolina | none | memorial stadium • clemson, sc (battle for the palmetto state/solid orange game) | espn2 | w 31-14 | 82456 row 13 : january 1, 2009 | 1:00 pm | vs. nebraska | none | jacksonville municipal stadium • jacksonville, fl (gator bowl) | cbs | l 21-26 | 67282 | col : attendance row 1 : 82456 | select attendance where date = 'november 29' limit 1367 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& date & time & opponent# & rank# & site & tv & result & attendance \\
\midrule
0 & august 30 & 8:00 pm & vs. alabama & #9 & georgia dome • atlanta, ga (chick-fil-a college kickoff) & abc & l 10-34 & 70097 \\
1 & september 6 & 3:30 pm & the citadel & #22 & memorial stadium • clemson, sc (military appreciation day) & none & w 45-17 & 76794 \\
2 & september 13 & 12:00 pm & nc state & #23 & memorial stadium • clemson, sc (textile bowl/hall of fame day) & raycom & w 27-9 & 77071 \\
3 & september 20 & 1:00 pm & sc state & #21 & memorial stadium • clemson, sc (youth day) & none & w 54-0 & 78607 \\
4 & september 27 & 12:00 pm & maryland & #19 & memorial stadium • clemson, sc (family weekend) & raycom & l 17-20 & 81500 \\
5 & october 9 & 7:45 pm & at wake forest & none & bb&t field • winston-salem, nc & espn & l 7-12 & 33988 \\
6 & october 18 & 12:00 pm & georgia tech & none & memorial stadium • clemson, sc (iptay day) & espn & l 17-21 & 81500 \\
7 & november 1 & 3:30 pm & at boston college & none & alumni stadium • chestnut hill, ma (o'rourke-mcfadden trophy) & espnu & w 27-21 & 41863 \\
8 & november 8 & 3:30 pm & at #24 florida state & none & doak campbell stadium • tallahassee, fl & abc & l 27-41 & 77013 \\
9 & november 15 & 12:00 pm & duke & none & memorial stadium • clemson, sc (homecoming) & raycom & w 31-7 & 76217 \\
10 & november 22 & 12:00 pm & at virginia & none & scott stadium • charlottesville, va & raycom & w 13-3 & 51979 \\
11 & november 29 & 12:00 pm & south carolina & none & memorial stadium • clemson, sc (battle for the palmetto state/solid orange game) & espn2 & w 31-14 & 82456 \\
12 & january 1, 2009 & 1:00 pm & vs. nebraska & none & jacksonville municipal stadium • jacksonville, fl (gator bowl) & cbs & l 21-26 & 67282 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& attendance \\
\midrule
0 & 82456 \\
\bottomrule
\end{tabular}
| select attendance where date = 'november 29' limit 1367 <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>august 30</td>
<td>8:00 pm</td>
<td>vs. alabama</td>
<td>#9</td>
<td>georgia dome • atlanta, ga (chick-fil-a college kickoff)</td>
<td>abc</td>
<td>l 10-34</td>
<td>70097</td>
</tr>
<tr>
<th>1</th>
<td>september 6</td>
<td>3:30 pm</td>
<td>the citadel</td>
<td>#22</td>
<td>memorial stadium • clemson, sc (military appreciation day)</td>
<td>none</td>
<td>w 45-17</td>
<td>76794</td>
</tr>
<tr>
<th>2</th>
<td>september 13</td>
<td>12:00 pm</td>
<td>nc state</td>
<td>#23</td>
<td>memorial stadium • clemson, sc (textile bowl/hall of fame day)</td>
<td>raycom</td>
<td>w 27-9</td>
<td>77071</td>
</tr>
<tr>
<th>3</th>
<td>september 20</td>
<td>1:00 pm</td>
<td>sc state</td>
<td>#21</td>
<td>memorial stadium • clemson, sc (youth day)</td>
<td>none</td>
<td>w 54-0</td>
<td>78607</td>
</tr>
<tr>
<th>4</th>
<td>september 27</td>
<td>12:00 pm</td>
<td>maryland</td>
<td>#19</td>
<td>memorial stadium • clemson, sc (family weekend)</td>
<td>raycom</td>
<td>l 17-20</td>
<td>81500</td>
</tr>
<tr>
<th>5</th>
<td>october 9</td>
<td>7:45 pm</td>
<td>at wake forest</td>
<td>none</td>
<td>bb&t field • winston-salem, nc</td>
<td>espn</td>
<td>l 7-12</td>
<td>33988</td>
</tr>
<tr>
<th>6</th>
<td>october 18</td>
<td>12:00 pm</td>
<td>georgia tech</td>
<td>none</td>
<td>memorial stadium • clemson, sc (iptay day)</td>
<td>espn</td>
<td>l 17-21</td>
<td>81500</td>
</tr>
<tr>
<th>7</th>
<td>november 1</td>
<td>3:30 pm</td>
<td>at boston college</td>
<td>none</td>
<td>alumni stadium • chestnut hill, ma (o'rourke-mcfadden trophy)</td>
<td>espnu</td>
<td>w 27-21</td>
<td>41863</td>
</tr>
<tr>
<th>8</th>
<td>november 8</td>
<td>3:30 pm</td>
<td>at #24 florida state</td>
<td>none</td>
<td>doak campbell stadium • tallahassee, fl</td>
<td>abc</td>
<td>l 27-41</td>
<td>77013</td>
</tr>
<tr>
<th>9</th>
<td>november 15</td>
<td>12:00 pm</td>
<td>duke</td>
<td>none</td>
<td>memorial stadium • clemson, sc (homecoming)</td>
<td>raycom</td>
<td>w 31-7</td>
<td>76217</td>
</tr>
<tr>
<th>10</th>
<td>november 22</td>
<td>12:00 pm</td>
<td>at virginia</td>
<td>none</td>
<td>scott stadium • charlottesville, va</td>
<td>raycom</td>
<td>w 13-3</td>
<td>51979</td>
</tr>
<tr>
<th>11</th>
<td>november 29</td>
<td>12:00 pm</td>
<td>south carolina</td>
<td>none</td>
<td>memorial stadium • clemson, sc (battle for the palmetto state/solid orange game)</td>
<td>espn2</td>
<td>w 31-14</td>
<td>82456</td>
</tr>
<tr>
<th>12</th>
<td>january 1, 2009</td>
<td>1:00 pm</td>
<td>vs. nebraska</td>
<td>none</td>
<td>jacksonville municipal stadium • jacksonville, fl (gator bowl)</td>
<td>cbs</td>
<td>l 21-26</td>
<td>67282</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>82456</td>
</tr>
</tbody>
</table> | select attendance where date = 'november 29' limit 1367 <table_name> : table | | date | time | opponent# | rank# | site | tv | result | attendance |
|---:|:----------------|:---------|:---------------------|:--------|:---------------------------------------------------------------------------------|:-------|:---------|-------------:|
| 0 | august 30 | 8:00 pm | vs. alabama | #9 | georgia dome • atlanta, ga (chick-fil-a college kickoff) | abc | l 10-34 | 70097 |
| 1 | september 6 | 3:30 pm | the citadel | #22 | memorial stadium • clemson, sc (military appreciation day) | none | w 45-17 | 76794 |
| 2 | september 13 | 12:00 pm | nc state | #23 | memorial stadium • clemson, sc (textile bowl/hall of fame day) | raycom | w 27-9 | 77071 |
| 3 | september 20 | 1:00 pm | sc state | #21 | memorial stadium • clemson, sc (youth day) | none | w 54-0 | 78607 |
| 4 | september 27 | 12:00 pm | maryland | #19 | memorial stadium • clemson, sc (family weekend) | raycom | l 17-20 | 81500 |
| 5 | october 9 | 7:45 pm | at wake forest | none | bb&t field • winston-salem, nc | espn | l 7-12 | 33988 |
| 6 | october 18 | 12:00 pm | georgia tech | none | memorial stadium • clemson, sc (iptay day) | espn | l 17-21 | 81500 |
| 7 | november 1 | 3:30 pm | at boston college | none | alumni stadium • chestnut hill, ma (o'rourke-mcfadden trophy) | espnu | w 27-21 | 41863 |
| 8 | november 8 | 3:30 pm | at #24 florida state | none | doak campbell stadium • tallahassee, fl | abc | l 27-41 | 77013 |
| 9 | november 15 | 12:00 pm | duke | none | memorial stadium • clemson, sc (homecoming) | raycom | w 31-7 | 76217 |
| 10 | november 22 | 12:00 pm | at virginia | none | scott stadium • charlottesville, va | raycom | w 13-3 | 51979 |
| 11 | november 29 | 12:00 pm | south carolina | none | memorial stadium • clemson, sc (battle for the palmetto state/solid orange game) | espn2 | w 31-14 | 82456 |
| 12 | january 1, 2009 | 1:00 pm | vs. nebraska | none | jacksonville municipal stadium • jacksonville, fl (gator bowl) | cbs | l 21-26 | 67282 | | | | attendance |
|---:|-------------:|
| 0 | 82456 | | [
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select count ( * ) where tournament = 'tanglewood, u.s' col : outcome | no. | date | tournament | surface | partner | opponents in the final | score in the final row 1 : runner-up | 1 | 1969 | los angeles, u.s | hard | jim mcmanus | pancho gonzales ron holmberg | 3-6, 4-6 row 2 : runner-up | 2 | 1970 | merion, u.s | hard | jim mcmanus | william bowrey ray ruffels | 6-3, 2-6, 5-7 row 3 : winner | 1 | 1971 | columbus, u.s | hard | jim mcmanus | jimmy connors roscoe tanner | 4-6, 7-5, 6-2 row 4 : winner | 2 | 1971 | merion, u.s | hard | clark graebner | robert mckinley dick stockton | 7-6, 6-3 row 5 : winner | 3 | 1971 | sacramento, u.s | hard | jim mcmanus | bob maud frew mcmillan | 7-6, 6-3 row 6 : winner | 4 | 1972 | los angeles, u.s | outdoor | jim mcmanus | ilie nastase ion tiriac | 6-2, 5-7, 6-4 row 7 : winner | 5 | 1972 | london/queen's club, england | grass | jim mcmanus | jurgen fassbender karl meiler | 4-6, 6-3, 7-5 row 8 : runner-up | 3 | 1972 | tanglewood, u.s | other | jim mcmanus | bob hewitt andrew pattison | 4-6, 4-6 | col : count ( "*" ) row 1 : 1 | select count ( * ) where tournament = 'tanglewood, u.s' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& outcome & no. & date & tournament & surface & partner & opponents in the final & score in the final \\
\midrule
0 & runner-up & 1 & 1969 & los angeles, u.s & hard & jim mcmanus & pancho gonzales ron holmberg & 3-6, 4-6 \\
1 & runner-up & 2 & 1970 & merion, u.s & hard & jim mcmanus & william bowrey ray ruffels & 6-3, 2-6, 5-7 \\
2 & winner & 1 & 1971 & columbus, u.s & hard & jim mcmanus & jimmy connors roscoe tanner & 4-6, 7-5, 6-2 \\
3 & winner & 2 & 1971 & merion, u.s & hard & clark graebner & robert mckinley dick stockton & 7-6, 6-3 \\
4 & winner & 3 & 1971 & sacramento, u.s & hard & jim mcmanus & bob maud frew mcmillan & 7-6, 6-3 \\
5 & winner & 4 & 1972 & los angeles, u.s & outdoor & jim mcmanus & ilie nastase ion tiriac & 6-2, 5-7, 6-4 \\
6 & winner & 5 & 1972 & london/queen's club, england & grass & jim mcmanus & jurgen fassbender karl meiler & 4-6, 6-3, 7-5 \\
7 & runner-up & 3 & 1972 & tanglewood, u.s & other & jim mcmanus & bob hewitt andrew pattison & 4-6, 4-6 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where tournament = 'tanglewood, u.s' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>outcome</th>
<th>no.</th>
<th>date</th>
<th>tournament</th>
<th>surface</th>
<th>partner</th>
<th>opponents in the final</th>
<th>score in the final</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>runner-up</td>
<td>1</td>
<td>1969</td>
<td>los angeles, u.s</td>
<td>hard</td>
<td>jim mcmanus</td>
<td>pancho gonzales ron holmberg</td>
<td>3-6, 4-6</td>
</tr>
<tr>
<th>1</th>
<td>runner-up</td>
<td>2</td>
<td>1970</td>
<td>merion, u.s</td>
<td>hard</td>
<td>jim mcmanus</td>
<td>william bowrey ray ruffels</td>
<td>6-3, 2-6, 5-7</td>
</tr>
<tr>
<th>2</th>
<td>winner</td>
<td>1</td>
<td>1971</td>
<td>columbus, u.s</td>
<td>hard</td>
<td>jim mcmanus</td>
<td>jimmy connors roscoe tanner</td>
<td>4-6, 7-5, 6-2</td>
</tr>
<tr>
<th>3</th>
<td>winner</td>
<td>2</td>
<td>1971</td>
<td>merion, u.s</td>
<td>hard</td>
<td>clark graebner</td>
<td>robert mckinley dick stockton</td>
<td>7-6, 6-3</td>
</tr>
<tr>
<th>4</th>
<td>winner</td>
<td>3</td>
<td>1971</td>
<td>sacramento, u.s</td>
<td>hard</td>
<td>jim mcmanus</td>
<td>bob maud frew mcmillan</td>
<td>7-6, 6-3</td>
</tr>
<tr>
<th>5</th>
<td>winner</td>
<td>4</td>
<td>1972</td>
<td>los angeles, u.s</td>
<td>outdoor</td>
<td>jim mcmanus</td>
<td>ilie nastase ion tiriac</td>
<td>6-2, 5-7, 6-4</td>
</tr>
<tr>
<th>6</th>
<td>winner</td>
<td>5</td>
<td>1972</td>
<td>london/queen's club, england</td>
<td>grass</td>
<td>jim mcmanus</td>
<td>jurgen fassbender karl meiler</td>
<td>4-6, 6-3, 7-5</td>
</tr>
<tr>
<th>7</th>
<td>runner-up</td>
<td>3</td>
<td>1972</td>
<td>tanglewood, u.s</td>
<td>other</td>
<td>jim mcmanus</td>
<td>bob hewitt andrew pattison</td>
<td>4-6, 4-6</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 tournament = 'tanglewood, u.s' <table_name> : table | | outcome | no. | date | tournament | surface | partner | opponents in the final | score in the final |
|---:|:----------|------:|-------:|:-----------------------------|:----------|:---------------|:------------------------------|:---------------------|
| 0 | runner-up | 1 | 1969 | los angeles, u.s | hard | jim mcmanus | pancho gonzales ron holmberg | 3-6, 4-6 |
| 1 | runner-up | 2 | 1970 | merion, u.s | hard | jim mcmanus | william bowrey ray ruffels | 6-3, 2-6, 5-7 |
| 2 | winner | 1 | 1971 | columbus, u.s | hard | jim mcmanus | jimmy connors roscoe tanner | 4-6, 7-5, 6-2 |
| 3 | winner | 2 | 1971 | merion, u.s | hard | clark graebner | robert mckinley dick stockton | 7-6, 6-3 |
| 4 | winner | 3 | 1971 | sacramento, u.s | hard | jim mcmanus | bob maud frew mcmillan | 7-6, 6-3 |
| 5 | winner | 4 | 1972 | los angeles, u.s | outdoor | jim mcmanus | ilie nastase ion tiriac | 6-2, 5-7, 6-4 |
| 6 | winner | 5 | 1972 | london/queen's club, england | grass | jim mcmanus | jurgen fassbender karl meiler | 4-6, 6-3, 7-5 |
| 7 | runner-up | 3 | 1972 | tanglewood, u.s | other | jim mcmanus | bob hewitt andrew pattison | 4-6, 4-6 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select competition where position = '3rd' col : year | competition | venue | position | event | notes row 1 : 2001 | world youth championships | debrecen, hungary | 2nd | 400 m | 47.12 row 2 : 2001 | world youth championships | debrecen, hungary | 1st | medley relay | 1:50.46 row 3 : 2001 | european junior championships | grosseto, italy | 1st | 4x400 m relay | 3:06.12 row 4 : 2003 | european junior championships | tampere, finland | 3rd | 400 m | 46.69 row 5 : 2003 | european junior championships | tampere, finland | 2nd | 4x400 m relay | 3:08.62 row 6 : 2005 | european u23 championships | erfurt, germany | 11th (sf) | 400 m | 46.62 row 7 : 2005 | european u23 championships | erfurt, germany | 1st | 4x400 m relay | 3:04.41 row 8 : 2005 | universiade | izmir, turkey | 7th | 400 m | 46.89 row 9 : 2005 | universiade | izmir, turkey | 1st | 4x400 m relay | 3:02.57 row 10 : 2006 | world indoor championships | moscow, russia | 2nd (h) | 4x400 m relay | 3:06.10 row 11 : 2006 | european championships | gothenburg, sweden | 3rd | 4x400 m relay | 3:01.73 row 12 : 2007 | european indoor championships | birmingham, united kingdom | 3rd | 4x400 m relay | 3:08.14 row 13 : 2007 | universiade | bangkok, thailand | 7th | 400 m | 46.85 row 14 : 2007 | universiade | bangkok, thailand | 1st | 4x400 m relay | 3:02.05 row 15 : 2008 | world indoor championships | valencia, spain | 4th | 4x400 m relay | 3:08.76 row 16 : 2008 | olympic games | beijing, china | 7th | 4x400 m relay | 3:00.32 row 17 : 2009 | universiade | belgrade, serbia | 2nd | 4x400 m relay | 3:05.69 | col : competition row 1 : european junior championships row 2 : european championships row 3 : european indoor championships | select competition where position = '3rd' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & competition & venue & position & event & notes \\
\midrule
0 & 2001 & world youth championships & debrecen, hungary & 2nd & 400 m & 47.12 \\
1 & 2001 & world youth championships & debrecen, hungary & 1st & medley relay & 1:50.46 \\
2 & 2001 & european junior championships & grosseto, italy & 1st & 4x400 m relay & 3:06.12 \\
3 & 2003 & european junior championships & tampere, finland & 3rd & 400 m & 46.69 \\
4 & 2003 & european junior championships & tampere, finland & 2nd & 4x400 m relay & 3:08.62 \\
5 & 2005 & european u23 championships & erfurt, germany & 11th (sf) & 400 m & 46.62 \\
6 & 2005 & european u23 championships & erfurt, germany & 1st & 4x400 m relay & 3:04.41 \\
7 & 2005 & universiade & izmir, turkey & 7th & 400 m & 46.89 \\
8 & 2005 & universiade & izmir, turkey & 1st & 4x400 m relay & 3:02.57 \\
9 & 2006 & world indoor championships & moscow, russia & 2nd (h) & 4x400 m relay & 3:06.10 \\
10 & 2006 & european championships & gothenburg, sweden & 3rd & 4x400 m relay & 3:01.73 \\
11 & 2007 & european indoor championships & birmingham, united kingdom & 3rd & 4x400 m relay & 3:08.14 \\
12 & 2007 & universiade & bangkok, thailand & 7th & 400 m & 46.85 \\
13 & 2007 & universiade & bangkok, thailand & 1st & 4x400 m relay & 3:02.05 \\
14 & 2008 & world indoor championships & valencia, spain & 4th & 4x400 m relay & 3:08.76 \\
15 & 2008 & olympic games & beijing, china & 7th & 4x400 m relay & 3:00.32 \\
16 & 2009 & universiade & belgrade, serbia & 2nd & 4x400 m relay & 3:05.69 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& competition \\
\midrule
0 & european junior championships \\
1 & european championships \\
2 & european indoor championships \\
\bottomrule
\end{tabular}
| select competition where position = '3rd' <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>world youth championships</td>
<td>debrecen, hungary</td>
<td>2nd</td>
<td>400 m</td>
<td>47.12</td>
</tr>
<tr>
<th>1</th>
<td>2001</td>
<td>world youth championships</td>
<td>debrecen, hungary</td>
<td>1st</td>
<td>medley relay</td>
<td>1:50.46</td>
</tr>
<tr>
<th>2</th>
<td>2001</td>
<td>european junior championships</td>
<td>grosseto, italy</td>
<td>1st</td>
<td>4x400 m relay</td>
<td>3:06.12</td>
</tr>
<tr>
<th>3</th>
<td>2003</td>
<td>european junior championships</td>
<td>tampere, finland</td>
<td>3rd</td>
<td>400 m</td>
<td>46.69</td>
</tr>
<tr>
<th>4</th>
<td>2003</td>
<td>european junior championships</td>
<td>tampere, finland</td>
<td>2nd</td>
<td>4x400 m relay</td>
<td>3:08.62</td>
</tr>
<tr>
<th>5</th>
<td>2005</td>
<td>european u23 championships</td>
<td>erfurt, germany</td>
<td>11th (sf)</td>
<td>400 m</td>
<td>46.62</td>
</tr>
<tr>
<th>6</th>
<td>2005</td>
<td>european u23 championships</td>
<td>erfurt, germany</td>
<td>1st</td>
<td>4x400 m relay</td>
<td>3:04.41</td>
</tr>
<tr>
<th>7</th>
<td>2005</td>
<td>universiade</td>
<td>izmir, turkey</td>
<td>7th</td>
<td>400 m</td>
<td>46.89</td>
</tr>
<tr>
<th>8</th>
<td>2005</td>
<td>universiade</td>
<td>izmir, turkey</td>
<td>1st</td>
<td>4x400 m relay</td>
<td>3:02.57</td>
</tr>
<tr>
<th>9</th>
<td>2006</td>
<td>world indoor championships</td>
<td>moscow, russia</td>
<td>2nd (h)</td>
<td>4x400 m relay</td>
<td>3:06.10</td>
</tr>
<tr>
<th>10</th>
<td>2006</td>
<td>european championships</td>
<td>gothenburg, sweden</td>
<td>3rd</td>
<td>4x400 m relay</td>
<td>3:01.73</td>
</tr>
<tr>
<th>11</th>
<td>2007</td>
<td>european indoor championships</td>
<td>birmingham, united kingdom</td>
<td>3rd</td>
<td>4x400 m relay</td>
<td>3:08.14</td>
</tr>
<tr>
<th>12</th>
<td>2007</td>
<td>universiade</td>
<td>bangkok, thailand</td>
<td>7th</td>
<td>400 m</td>
<td>46.85</td>
</tr>
<tr>
<th>13</th>
<td>2007</td>
<td>universiade</td>
<td>bangkok, thailand</td>
<td>1st</td>
<td>4x400 m relay</td>
<td>3:02.05</td>
</tr>
<tr>
<th>14</th>
<td>2008</td>
<td>world indoor championships</td>
<td>valencia, spain</td>
<td>4th</td>
<td>4x400 m relay</td>
<td>3:08.76</td>
</tr>
<tr>
<th>15</th>
<td>2008</td>
<td>olympic games</td>
<td>beijing, china</td>
<td>7th</td>
<td>4x400 m relay</td>
<td>3:00.32</td>
</tr>
<tr>
<th>16</th>
<td>2009</td>
<td>universiade</td>
<td>belgrade, serbia</td>
<td>2nd</td>
<td>4x400 m relay</td>
<td>3:05.69</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>european junior championships</td>
</tr>
<tr>
<th>1</th>
<td>european championships</td>
</tr>
<tr>
<th>2</th>
<td>european indoor championships</td>
</tr>
</tbody>
</table> | select competition where position = '3rd' <table_name> : table | | year | competition | venue | position | event | notes |
|---:|-------:|:------------------------------|:---------------------------|:-----------|:--------------|:--------|
| 0 | 2001 | world youth championships | debrecen, hungary | 2nd | 400 m | 47.12 |
| 1 | 2001 | world youth championships | debrecen, hungary | 1st | medley relay | 1:50.46 |
| 2 | 2001 | european junior championships | grosseto, italy | 1st | 4x400 m relay | 3:06.12 |
| 3 | 2003 | european junior championships | tampere, finland | 3rd | 400 m | 46.69 |
| 4 | 2003 | european junior championships | tampere, finland | 2nd | 4x400 m relay | 3:08.62 |
| 5 | 2005 | european u23 championships | erfurt, germany | 11th (sf) | 400 m | 46.62 |
| 6 | 2005 | european u23 championships | erfurt, germany | 1st | 4x400 m relay | 3:04.41 |
| 7 | 2005 | universiade | izmir, turkey | 7th | 400 m | 46.89 |
| 8 | 2005 | universiade | izmir, turkey | 1st | 4x400 m relay | 3:02.57 |
| 9 | 2006 | world indoor championships | moscow, russia | 2nd (h) | 4x400 m relay | 3:06.10 |
| 10 | 2006 | european championships | gothenburg, sweden | 3rd | 4x400 m relay | 3:01.73 |
| 11 | 2007 | european indoor championships | birmingham, united kingdom | 3rd | 4x400 m relay | 3:08.14 |
| 12 | 2007 | universiade | bangkok, thailand | 7th | 400 m | 46.85 |
| 13 | 2007 | universiade | bangkok, thailand | 1st | 4x400 m relay | 3:02.05 |
| 14 | 2008 | world indoor championships | valencia, spain | 4th | 4x400 m relay | 3:08.76 |
| 15 | 2008 | olympic games | beijing, china | 7th | 4x400 m relay | 3:00.32 |
| 16 | 2009 | universiade | belgrade, serbia | 2nd | 4x400 m relay | 3:05.69 | | | | competition |
|---:|:------------------------------|
| 0 | european junior championships |
| 1 | european championships |
| 2 | european indoor championships | | [
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select count ( distinct playoffs ) where playoffs = 1096 col : year | team record w | team record l | playoffs row 1 : 2001 | 7 | 2 | 3rd qualifier, region 2 row 2 : 2002 | 8 | 1 | 2nd qualifier, region 2 row 3 : 2003 | 8 | 1 | 2nd qualifier, region 2 row 4 : 2004 | 7 | 2 | 2nd qualifier, region 2 row 5 : 2005 | 3 | 5 | did not make playoffs row 6 : 2006 | 5 | 4 | 4th qualifier, region 2 row 7 : 2007 | 13 | 1 | 1st qualifier, region 2 row 8 : 2008 | 7 | 4 | 2nd qualifier, region 2 row 9 : 2009 | 5 | 5 | did not make playoffs row 10 : 2010 | 5 | 5 | did not make playoffs | col : count ( "distinct playoffs" ) row 1 : 0 | select count ( distinct playoffs ) where playoffs = 1096 <table_name> : table \begin{tabular}{lllll}
\toprule
& year & team record w & team record l & playoffs \\
\midrule
0 & 2001 & 7 & 2 & 3rd qualifier, region 2 \\
1 & 2002 & 8 & 1 & 2nd qualifier, region 2 \\
2 & 2003 & 8 & 1 & 2nd qualifier, region 2 \\
3 & 2004 & 7 & 2 & 2nd qualifier, region 2 \\
4 & 2005 & 3 & 5 & did not make playoffs \\
5 & 2006 & 5 & 4 & 4th qualifier, region 2 \\
6 & 2007 & 13 & 1 & 1st qualifier, region 2 \\
7 & 2008 & 7 & 4 & 2nd qualifier, region 2 \\
8 & 2009 & 5 & 5 & did not make playoffs \\
9 & 2010 & 5 & 5 & did not make playoffs \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "distinct playoffs" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( distinct playoffs ) where playoffs = 1096 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>team record w</th>
<th>team record l</th>
<th>playoffs</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001</td>
<td>7</td>
<td>2</td>
<td>3rd qualifier, region 2</td>
</tr>
<tr>
<th>1</th>
<td>2002</td>
<td>8</td>
<td>1</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>2</th>
<td>2003</td>
<td>8</td>
<td>1</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>3</th>
<td>2004</td>
<td>7</td>
<td>2</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>4</th>
<td>2005</td>
<td>3</td>
<td>5</td>
<td>did not make playoffs</td>
</tr>
<tr>
<th>5</th>
<td>2006</td>
<td>5</td>
<td>4</td>
<td>4th qualifier, region 2</td>
</tr>
<tr>
<th>6</th>
<td>2007</td>
<td>13</td>
<td>1</td>
<td>1st qualifier, region 2</td>
</tr>
<tr>
<th>7</th>
<td>2008</td>
<td>7</td>
<td>4</td>
<td>2nd qualifier, region 2</td>
</tr>
<tr>
<th>8</th>
<td>2009</td>
<td>5</td>
<td>5</td>
<td>did not make playoffs</td>
</tr>
<tr>
<th>9</th>
<td>2010</td>
<td>5</td>
<td>5</td>
<td>did not make playoffs</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "distinct playoffs" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( distinct playoffs ) where playoffs = 1096 <table_name> : table | | year | team record w | team record l | playoffs |
|---:|-------:|----------------:|----------------:|:------------------------|
| 0 | 2001 | 7 | 2 | 3rd qualifier, region 2 |
| 1 | 2002 | 8 | 1 | 2nd qualifier, region 2 |
| 2 | 2003 | 8 | 1 | 2nd qualifier, region 2 |
| 3 | 2004 | 7 | 2 | 2nd qualifier, region 2 |
| 4 | 2005 | 3 | 5 | did not make playoffs |
| 5 | 2006 | 5 | 4 | 4th qualifier, region 2 |
| 6 | 2007 | 13 | 1 | 1st qualifier, region 2 |
| 7 | 2008 | 7 | 4 | 2nd qualifier, region 2 |
| 8 | 2009 | 5 | 5 | did not make playoffs |
| 9 | 2010 | 5 | 5 | did not make playoffs | | | | count ( "distinct playoffs" ) |
|---:|--------------------------------:|
| 0 | 0 | | [
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select silver where nation = 'japan' col : rank | nation | gold | silver | bronze | total row 1 : 1 | japan | 5 | 2 | 0 | 7 row 2 : 2 | china | 4 | 3 | 2 | 9 row 3 : 3 | south korea | 0 | 3 | 1 | 4 row 4 : 4 | north korea | 0 | 1 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 0 | 3 | 3 row 6 : 5 | thailand | 0 | 0 | 3 | 3 row 7 : total | total | 9 | 9 | 9 | 27 | col : silver row 1 : 2 | select silver where nation = 'japan' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & japan & 5 & 2 & 0 & 7 \\
1 & 2 & china & 4 & 3 & 2 & 9 \\
2 & 3 & south korea & 0 & 3 & 1 & 4 \\
3 & 4 & north korea & 0 & 1 & 0 & 1 \\
4 & 5 & chinese taipei & 0 & 0 & 3 & 3 \\
5 & 5 & thailand & 0 & 0 & 3 & 3 \\
6 & total & total & 9 & 9 & 9 & 27 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& silver \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select silver where nation = 'japan' <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>japan</td>
<td>5</td>
<td>2</td>
<td>0</td>
<td>7</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>china</td>
<td>4</td>
<td>3</td>
<td>2</td>
<td>9</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>south korea</td>
<td>0</td>
<td>3</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>north korea</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>chinese taipei</td>
<td>0</td>
<td>0</td>
<td>3</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>5</td>
<td>thailand</td>
<td>0</td>
<td>0</td>
<td>3</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>total</td>
<td>total</td>
<td>9</td>
<td>9</td>
<td>9</td>
<td>27</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>silver</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select silver where nation = 'japan' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:---------------|-------:|---------:|---------:|--------:|
| 0 | 1 | japan | 5 | 2 | 0 | 7 |
| 1 | 2 | china | 4 | 3 | 2 | 9 |
| 2 | 3 | south korea | 0 | 3 | 1 | 4 |
| 3 | 4 | north korea | 0 | 1 | 0 | 1 |
| 4 | 5 | chinese taipei | 0 | 0 | 3 | 3 |
| 5 | 5 | thailand | 0 | 0 | 3 | 3 |
| 6 | total | total | 9 | 9 | 9 | 27 | | | | silver |
|---:|---------:|
| 0 | 2 | | [
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select count ( * ) where athlete = 'lyubomir popov' and total time = '1:50.81' col : athlete | event | race 1 time | race 2 time | total time | total rank row 1 : stefan shalamanov | giant slalom | dnf | none | dnf | none row 2 : borislav dimitrachkov | giant slalom | dnf | none | dnf | none row 3 : lyubomir popov | giant slalom | 1:10.73 | dnf | dnf | none row 4 : stefan shalamanov | slalom | 58.68 | 53.69 | 1:52.37 | 23 row 5 : lyubomir popov | slalom | 57.78 | 53.03 | 1:50.81 | 19 row 6 : borislav dimitrachkov | slalom | 57.58 | 53.23 | 1:50.81 | 19 row 7 : petar popangelov | slalom | 55.14 | 51.2 | 1:46.34 | 16 | col : count ( "*" ) row 1 : 0 | select count ( * ) where athlete = 'lyubomir popov' and total time = '1:50.81' <table_name> : table \begin{tabular}{lllllll}
\toprule
& athlete & event & race 1 time & race 2 time & total time & total rank \\
\midrule
0 & stefan shalamanov & giant slalom & dnf & none & dnf & none \\
1 & borislav dimitrachkov & giant slalom & dnf & none & dnf & none \\
2 & lyubomir popov & giant slalom & 1:10.73 & dnf & dnf & none \\
3 & stefan shalamanov & slalom & 58.68 & 53.69 & 1:52.37 & 23 \\
4 & lyubomir popov & slalom & 57.78 & 53.03 & 1:50.81 & 19 \\
5 & borislav dimitrachkov & slalom & 57.58 & 53.23 & 1:50.81 & 19 \\
6 & petar popangelov & slalom & 55.14 & 51.2 & 1:46.34 & 16 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where athlete = 'lyubomir popov' and total time = '1:50.81' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>athlete</th>
<th>event</th>
<th>race 1 time</th>
<th>race 2 time</th>
<th>total time</th>
<th>total rank</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>stefan shalamanov</td>
<td>giant slalom</td>
<td>dnf</td>
<td>none</td>
<td>dnf</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>borislav dimitrachkov</td>
<td>giant slalom</td>
<td>dnf</td>
<td>none</td>
<td>dnf</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>lyubomir popov</td>
<td>giant slalom</td>
<td>1:10.73</td>
<td>dnf</td>
<td>dnf</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>stefan shalamanov</td>
<td>slalom</td>
<td>58.68</td>
<td>53.69</td>
<td>1:52.37</td>
<td>23</td>
</tr>
<tr>
<th>4</th>
<td>lyubomir popov</td>
<td>slalom</td>
<td>57.78</td>
<td>53.03</td>
<td>1:50.81</td>
<td>19</td>
</tr>
<tr>
<th>5</th>
<td>borislav dimitrachkov</td>
<td>slalom</td>
<td>57.58</td>
<td>53.23</td>
<td>1:50.81</td>
<td>19</td>
</tr>
<tr>
<th>6</th>
<td>petar popangelov</td>
<td>slalom</td>
<td>55.14</td>
<td>51.2</td>
<td>1:46.34</td>
<td>16</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 athlete = 'lyubomir popov' and total time = '1:50.81' <table_name> : table | | athlete | event | race 1 time | race 2 time | total time | total rank |
|---:|:----------------------|:-------------|:--------------|:--------------|:-------------|:-------------|
| 0 | stefan shalamanov | giant slalom | dnf | none | dnf | none |
| 1 | borislav dimitrachkov | giant slalom | dnf | none | dnf | none |
| 2 | lyubomir popov | giant slalom | 1:10.73 | dnf | dnf | none |
| 3 | stefan shalamanov | slalom | 58.68 | 53.69 | 1:52.37 | 23 |
| 4 | lyubomir popov | slalom | 57.78 | 53.03 | 1:50.81 | 19 |
| 5 | borislav dimitrachkov | slalom | 57.58 | 53.23 | 1:50.81 | 19 |
| 6 | petar popangelov | slalom | 55.14 | 51.2 | 1:46.34 | 16 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select finish where chassis = 'penske' col : year | chassis | engine | start | finish row 1 : 1974 | eagle | offy | 21st | 7th row 2 : 1975 | eagle | offy | 18th | 4th row 3 : 1976 | eagle | offy | 6th | 5th row 4 : 1977 | eagle | offy | 8th | 15th row 5 : 1978 | lighning | cosworth | 21st | 24th row 6 : 1979 | lighning | cosworth | 17th | 20th row 7 : 1980 | penske | cosworth | 8th | 6th row 8 : 1981 | penske | cosworth | 10th | 28th row 9 : 1982 | march | cosworth | 10th | 3rd row 10 : 1983 | march | cosworth | 14th | 7th row 11 : 1984 | march | cosworth | 21st | 19th row 12 : 1985 | march | buick | 1st | 33rd row 13 : 1986 | lola | cosworth | 14th | 16th row 14 : 1987 | march | cosworth | 29th | 27th row 15 : 1988 | march | buick | qualifying crash | none row 16 : 1989 | lola | cosworth | 32nd | 22nd row 17 : 1990 | lola | cosworth | 22nd | 29th row 18 : 1991 | lola | buick | 32nd | 21st row 19 : 1992 | lola | buick | failed to qualify | none row 20 : 1994 | lola | chevrolet | failed to qualify | none | col : finish row 1 : 6th row 2 : 28th | select finish where chassis = 'penske' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & chassis & engine & start & finish \\
\midrule
0 & 1974 & eagle & offy & 21st & 7th \\
1 & 1975 & eagle & offy & 18th & 4th \\
2 & 1976 & eagle & offy & 6th & 5th \\
3 & 1977 & eagle & offy & 8th & 15th \\
4 & 1978 & lighning & cosworth & 21st & 24th \\
5 & 1979 & lighning & cosworth & 17th & 20th \\
6 & 1980 & penske & cosworth & 8th & 6th \\
7 & 1981 & penske & cosworth & 10th & 28th \\
8 & 1982 & march & cosworth & 10th & 3rd \\
9 & 1983 & march & cosworth & 14th & 7th \\
10 & 1984 & march & cosworth & 21st & 19th \\
11 & 1985 & march & buick & 1st & 33rd \\
12 & 1986 & lola & cosworth & 14th & 16th \\
13 & 1987 & march & cosworth & 29th & 27th \\
14 & 1988 & march & buick & qualifying crash & none \\
15 & 1989 & lola & cosworth & 32nd & 22nd \\
16 & 1990 & lola & cosworth & 22nd & 29th \\
17 & 1991 & lola & buick & 32nd & 21st \\
18 & 1992 & lola & buick & failed to qualify & none \\
19 & 1994 & lola & chevrolet & failed to qualify & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& finish \\
\midrule
0 & 6th \\
1 & 28th \\
\bottomrule
\end{tabular}
| select finish where chassis = 'penske' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>chassis</th>
<th>engine</th>
<th>start</th>
<th>finish</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1974</td>
<td>eagle</td>
<td>offy</td>
<td>21st</td>
<td>7th</td>
</tr>
<tr>
<th>1</th>
<td>1975</td>
<td>eagle</td>
<td>offy</td>
<td>18th</td>
<td>4th</td>
</tr>
<tr>
<th>2</th>
<td>1976</td>
<td>eagle</td>
<td>offy</td>
<td>6th</td>
<td>5th</td>
</tr>
<tr>
<th>3</th>
<td>1977</td>
<td>eagle</td>
<td>offy</td>
<td>8th</td>
<td>15th</td>
</tr>
<tr>
<th>4</th>
<td>1978</td>
<td>lighning</td>
<td>cosworth</td>
<td>21st</td>
<td>24th</td>
</tr>
<tr>
<th>5</th>
<td>1979</td>
<td>lighning</td>
<td>cosworth</td>
<td>17th</td>
<td>20th</td>
</tr>
<tr>
<th>6</th>
<td>1980</td>
<td>penske</td>
<td>cosworth</td>
<td>8th</td>
<td>6th</td>
</tr>
<tr>
<th>7</th>
<td>1981</td>
<td>penske</td>
<td>cosworth</td>
<td>10th</td>
<td>28th</td>
</tr>
<tr>
<th>8</th>
<td>1982</td>
<td>march</td>
<td>cosworth</td>
<td>10th</td>
<td>3rd</td>
</tr>
<tr>
<th>9</th>
<td>1983</td>
<td>march</td>
<td>cosworth</td>
<td>14th</td>
<td>7th</td>
</tr>
<tr>
<th>10</th>
<td>1984</td>
<td>march</td>
<td>cosworth</td>
<td>21st</td>
<td>19th</td>
</tr>
<tr>
<th>11</th>
<td>1985</td>
<td>march</td>
<td>buick</td>
<td>1st</td>
<td>33rd</td>
</tr>
<tr>
<th>12</th>
<td>1986</td>
<td>lola</td>
<td>cosworth</td>
<td>14th</td>
<td>16th</td>
</tr>
<tr>
<th>13</th>
<td>1987</td>
<td>march</td>
<td>cosworth</td>
<td>29th</td>
<td>27th</td>
</tr>
<tr>
<th>14</th>
<td>1988</td>
<td>march</td>
<td>buick</td>
<td>qualifying crash</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>1989</td>
<td>lola</td>
<td>cosworth</td>
<td>32nd</td>
<td>22nd</td>
</tr>
<tr>
<th>16</th>
<td>1990</td>
<td>lola</td>
<td>cosworth</td>
<td>22nd</td>
<td>29th</td>
</tr>
<tr>
<th>17</th>
<td>1991</td>
<td>lola</td>
<td>buick</td>
<td>32nd</td>
<td>21st</td>
</tr>
<tr>
<th>18</th>
<td>1992</td>
<td>lola</td>
<td>buick</td>
<td>failed to qualify</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>1994</td>
<td>lola</td>
<td>chevrolet</td>
<td>failed to qualify</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>finish</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6th</td>
</tr>
<tr>
<th>1</th>
<td>28th</td>
</tr>
</tbody>
</table> | select finish where chassis = 'penske' <table_name> : table | | year | chassis | engine | start | finish |
|---:|-------:|:----------|:----------|:------------------|:---------|
| 0 | 1974 | eagle | offy | 21st | 7th |
| 1 | 1975 | eagle | offy | 18th | 4th |
| 2 | 1976 | eagle | offy | 6th | 5th |
| 3 | 1977 | eagle | offy | 8th | 15th |
| 4 | 1978 | lighning | cosworth | 21st | 24th |
| 5 | 1979 | lighning | cosworth | 17th | 20th |
| 6 | 1980 | penske | cosworth | 8th | 6th |
| 7 | 1981 | penske | cosworth | 10th | 28th |
| 8 | 1982 | march | cosworth | 10th | 3rd |
| 9 | 1983 | march | cosworth | 14th | 7th |
| 10 | 1984 | march | cosworth | 21st | 19th |
| 11 | 1985 | march | buick | 1st | 33rd |
| 12 | 1986 | lola | cosworth | 14th | 16th |
| 13 | 1987 | march | cosworth | 29th | 27th |
| 14 | 1988 | march | buick | qualifying crash | none |
| 15 | 1989 | lola | cosworth | 32nd | 22nd |
| 16 | 1990 | lola | cosworth | 22nd | 29th |
| 17 | 1991 | lola | buick | 32nd | 21st |
| 18 | 1992 | lola | buick | failed to qualify | none |
| 19 | 1994 | lola | chevrolet | failed to qualify | none | | | | finish |
|---:|:---------|
| 0 | 6th |
| 1 | 28th | | [
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select count ( * ) where pole position = 'none' col : round -1 | round -2 | circuit | date | pole position | fastest lap | winning driver | winning team | winning privateer row 1 : 1 | r1 | mantorp park | 10 may | mattias ekstrom | fredrik ekblom | mats linden | kristoffersson motorsport | richard goransson row 2 : 1 | r2 | mantorp park | 10 may | none | peggen andersson | fredrik ekblom | bmw dealer team | pontus morth row 3 : 2 | r3 | karlskoga-gellerasen | 31 may | jan nilsson | jan nilsson | jan nilsson | flash engineering | pontus morth row 4 : 2 | r4 | karlskoga-gellerasen | 31 may | none | fredrik ekblom | peggen andersson | bmw dealer team | pontus morth row 5 : 3 | r5 | anderstorp | 28 june | mattias ekstrom | fredrik ekblom | jan nilsson | flash engineering | pontus morth row 6 : 3 | r6 | anderstorp | 28 june | none | peggen andersson | peggen andersson | bmw dealer team | georg bakajev row 7 : 4 | r7 | falkenberg | 9 july | jens edman | jens edman | jan nilsson | flash engineering | pontus morth row 8 : 4 | r8 | falkenberg | 9 july | none | mattias ekstrom | jens edman | flash engineering | pontus morth row 9 : 5 | r9 | ring knutstorp | 6 september | fredrik ekblom | fredrik ekblom | fredrik ekblom | bmw dealer team | pontus morth row 10 : 5 | r10 | ring knutstorp | 6 september | none | mats linden | jan nilsson | flash engineering | georg bakajev row 11 : 6 | r11 | mantorp park | 27 september | tommy kristoffersson | fredrik ekblom | fredrik ekblom | bmw dealer team | pontus morth row 12 : 6 | r12 | mantorp park | 27 september | none | peggen andersson | jan nilsson | flash engineering | pontus morth | col : count ( "*" ) row 1 : 6 | select count ( * ) where pole position = 'none' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& round -1 & round -2 & circuit & date & pole position & fastest lap & winning driver & winning team & winning privateer \\
\midrule
0 & 1 & r1 & mantorp park & 10 may & mattias ekstrom & fredrik ekblom & mats linden & kristoffersson motorsport & richard goransson \\
1 & 1 & r2 & mantorp park & 10 may & none & peggen andersson & fredrik ekblom & bmw dealer team & pontus morth \\
2 & 2 & r3 & karlskoga-gellerasen & 31 may & jan nilsson & jan nilsson & jan nilsson & flash engineering & pontus morth \\
3 & 2 & r4 & karlskoga-gellerasen & 31 may & none & fredrik ekblom & peggen andersson & bmw dealer team & pontus morth \\
4 & 3 & r5 & anderstorp & 28 june & mattias ekstrom & fredrik ekblom & jan nilsson & flash engineering & pontus morth \\
5 & 3 & r6 & anderstorp & 28 june & none & peggen andersson & peggen andersson & bmw dealer team & georg bakajev \\
6 & 4 & r7 & falkenberg & 9 july & jens edman & jens edman & jan nilsson & flash engineering & pontus morth \\
7 & 4 & r8 & falkenberg & 9 july & none & mattias ekstrom & jens edman & flash engineering & pontus morth \\
8 & 5 & r9 & ring knutstorp & 6 september & fredrik ekblom & fredrik ekblom & fredrik ekblom & bmw dealer team & pontus morth \\
9 & 5 & r10 & ring knutstorp & 6 september & none & mats linden & jan nilsson & flash engineering & georg bakajev \\
10 & 6 & r11 & mantorp park & 27 september & tommy kristoffersson & fredrik ekblom & fredrik ekblom & bmw dealer team & pontus morth \\
11 & 6 & r12 & mantorp park & 27 september & none & peggen andersson & jan nilsson & flash engineering & pontus morth \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select count ( * ) where pole position = 'none' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>round -1</th>
<th>round -2</th>
<th>circuit</th>
<th>date</th>
<th>pole position</th>
<th>fastest lap</th>
<th>winning driver</th>
<th>winning team</th>
<th>winning privateer</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>r1</td>
<td>mantorp park</td>
<td>10 may</td>
<td>mattias ekstrom</td>
<td>fredrik ekblom</td>
<td>mats linden</td>
<td>kristoffersson motorsport</td>
<td>richard goransson</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>r2</td>
<td>mantorp park</td>
<td>10 may</td>
<td>none</td>
<td>peggen andersson</td>
<td>fredrik ekblom</td>
<td>bmw dealer team</td>
<td>pontus morth</td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>r3</td>
<td>karlskoga-gellerasen</td>
<td>31 may</td>
<td>jan nilsson</td>
<td>jan nilsson</td>
<td>jan nilsson</td>
<td>flash engineering</td>
<td>pontus morth</td>
</tr>
<tr>
<th>3</th>
<td>2</td>
<td>r4</td>
<td>karlskoga-gellerasen</td>
<td>31 may</td>
<td>none</td>
<td>fredrik ekblom</td>
<td>peggen andersson</td>
<td>bmw dealer team</td>
<td>pontus morth</td>
</tr>
<tr>
<th>4</th>
<td>3</td>
<td>r5</td>
<td>anderstorp</td>
<td>28 june</td>
<td>mattias ekstrom</td>
<td>fredrik ekblom</td>
<td>jan nilsson</td>
<td>flash engineering</td>
<td>pontus morth</td>
</tr>
<tr>
<th>5</th>
<td>3</td>
<td>r6</td>
<td>anderstorp</td>
<td>28 june</td>
<td>none</td>
<td>peggen andersson</td>
<td>peggen andersson</td>
<td>bmw dealer team</td>
<td>georg bakajev</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>r7</td>
<td>falkenberg</td>
<td>9 july</td>
<td>jens edman</td>
<td>jens edman</td>
<td>jan nilsson</td>
<td>flash engineering</td>
<td>pontus morth</td>
</tr>
<tr>
<th>7</th>
<td>4</td>
<td>r8</td>
<td>falkenberg</td>
<td>9 july</td>
<td>none</td>
<td>mattias ekstrom</td>
<td>jens edman</td>
<td>flash engineering</td>
<td>pontus morth</td>
</tr>
<tr>
<th>8</th>
<td>5</td>
<td>r9</td>
<td>ring knutstorp</td>
<td>6 september</td>
<td>fredrik ekblom</td>
<td>fredrik ekblom</td>
<td>fredrik ekblom</td>
<td>bmw dealer team</td>
<td>pontus morth</td>
</tr>
<tr>
<th>9</th>
<td>5</td>
<td>r10</td>
<td>ring knutstorp</td>
<td>6 september</td>
<td>none</td>
<td>mats linden</td>
<td>jan nilsson</td>
<td>flash engineering</td>
<td>georg bakajev</td>
</tr>
<tr>
<th>10</th>
<td>6</td>
<td>r11</td>
<td>mantorp park</td>
<td>27 september</td>
<td>tommy kristoffersson</td>
<td>fredrik ekblom</td>
<td>fredrik ekblom</td>
<td>bmw dealer team</td>
<td>pontus morth</td>
</tr>
<tr>
<th>11</th>
<td>6</td>
<td>r12</td>
<td>mantorp park</td>
<td>27 september</td>
<td>none</td>
<td>peggen andersson</td>
<td>jan nilsson</td>
<td>flash engineering</td>
<td>pontus morth</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 pole position = 'none' <table_name> : table | | round -1 | round -2 | circuit | date | pole position | fastest lap | winning driver | winning team | winning privateer |
|---:|-----------:|:-----------|:---------------------|:-------------|:---------------------|:-----------------|:-----------------|:--------------------------|:--------------------|
| 0 | 1 | r1 | mantorp park | 10 may | mattias ekstrom | fredrik ekblom | mats linden | kristoffersson motorsport | richard goransson |
| 1 | 1 | r2 | mantorp park | 10 may | none | peggen andersson | fredrik ekblom | bmw dealer team | pontus morth |
| 2 | 2 | r3 | karlskoga-gellerasen | 31 may | jan nilsson | jan nilsson | jan nilsson | flash engineering | pontus morth |
| 3 | 2 | r4 | karlskoga-gellerasen | 31 may | none | fredrik ekblom | peggen andersson | bmw dealer team | pontus morth |
| 4 | 3 | r5 | anderstorp | 28 june | mattias ekstrom | fredrik ekblom | jan nilsson | flash engineering | pontus morth |
| 5 | 3 | r6 | anderstorp | 28 june | none | peggen andersson | peggen andersson | bmw dealer team | georg bakajev |
| 6 | 4 | r7 | falkenberg | 9 july | jens edman | jens edman | jan nilsson | flash engineering | pontus morth |
| 7 | 4 | r8 | falkenberg | 9 july | none | mattias ekstrom | jens edman | flash engineering | pontus morth |
| 8 | 5 | r9 | ring knutstorp | 6 september | fredrik ekblom | fredrik ekblom | fredrik ekblom | bmw dealer team | pontus morth |
| 9 | 5 | r10 | ring knutstorp | 6 september | none | mats linden | jan nilsson | flash engineering | georg bakajev |
| 10 | 6 | r11 | mantorp park | 27 september | tommy kristoffersson | fredrik ekblom | fredrik ekblom | bmw dealer team | pontus morth |
| 11 | 6 | r12 | mantorp park | 27 september | none | peggen andersson | jan nilsson | flash engineering | pontus morth | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 6 | | [
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select ending with where name of the prabandham = 'thiruvay mozhi' col : sl no | name of the prabandham | starting from | ending with | number of pasurams | sung by row 1 : 1 | periazhvar thirumozhi | 1 | 473 | 473 | periyalvar row 2 : 2 | thiruppavai | 474 | 503 | 30 | aandaal row 3 : 3 | nachiar tirumozhi | 504 | 646 | 143 | aandaal row 4 : 4 | perumal thirumozhi | 647 | 751 | 105 | kulasekara alvar row 5 : 5 | thiruchchanda viruththam | 752 | 871 | 120 | thirumalisai alvar row 6 : 6 | thirumalai | 872 | 916 | 45 | thondaradippodi alvar row 7 : 7 | thiruppalliyezhuchchi | 917 | 926 | 10 | thondaradippodi alvar row 8 : 8 | amalanadhi piran | 927 | 936 | 10 | thiruppaan alvar row 9 : 9 | kanni nun siruththambu | 937 | 947 | 11 | madhurakavi alvar row 10 : 10 | peria thirumozhi | 948 | 2031 | 1084 | thirumangai alvar row 11 : 11 | kurun thandagam | 2032 | 2051 | 20 | thirumangai alvar row 12 : 12 | nedum thandagam | 2052 | 2081 | 30 | thirumangai alvar row 13 : 13 | mudhal thiruvandhadhi | 2082 | 2181 | 100 | poigai alvar row 14 : 14 | irandam thiruvandhadhi | 2182 | 2281 | 100 | bhoothathalvar row 15 : 15 | moonram thiruvandhadhi | 2282 | 2381 | 100 | peyalvar row 16 : 16 | naanmugan thiruvandhadhi | 2382 | 2477 | 96 | thirumalisai alvar row 17 : 17 | thiruviruththam | 2478 | 2577 | 100 | nammalvar row 18 : 18 | thiruvasiriyam | 2578 | 2584 | 7 | nammalvar row 19 : 19 | peria thiruvandhadhi | 2585 | 2671 | 87 | nammalvar row 20 : 20 | thiruvezhukkurrirukkai | 2672 | 2672 | 1 | thirumangai alvar row 21 : 21 | siriya thirumadal | 2673 | 2673 | 1 | thirumangai alvar row 22 : 22 | peria thirumadal | 2674 | 2674 | 1 | thirumangai alvar row 23 : 23 | thiruvay mozhi | 2674 | 3776 | 1102 | nammalvar row 24 : none | total number of pasurams | none | none | 3776 | none | col : ending with row 1 : 3776 | select ending with where name of the prabandham = 'thiruvay mozhi' <table_name> : table \begin{tabular}{lllllll}
\toprule
& sl no & name of the prabandham & starting from & ending with & number of pasurams & sung by \\
\midrule
0 & 1 & periazhvar thirumozhi & 1 & 473 & 473 & periyalvar \\
1 & 2 & thiruppavai & 474 & 503 & 30 & aandaal \\
2 & 3 & nachiar tirumozhi & 504 & 646 & 143 & aandaal \\
3 & 4 & perumal thirumozhi & 647 & 751 & 105 & kulasekara alvar \\
4 & 5 & thiruchchanda viruththam & 752 & 871 & 120 & thirumalisai alvar \\
5 & 6 & thirumalai & 872 & 916 & 45 & thondaradippodi alvar \\
6 & 7 & thiruppalliyezhuchchi & 917 & 926 & 10 & thondaradippodi alvar \\
7 & 8 & amalanadhi piran & 927 & 936 & 10 & thiruppaan alvar \\
8 & 9 & kanni nun siruththambu & 937 & 947 & 11 & madhurakavi alvar \\
9 & 10 & peria thirumozhi & 948 & 2031 & 1084 & thirumangai alvar \\
10 & 11 & kurun thandagam & 2032 & 2051 & 20 & thirumangai alvar \\
11 & 12 & nedum thandagam & 2052 & 2081 & 30 & thirumangai alvar \\
12 & 13 & mudhal thiruvandhadhi & 2082 & 2181 & 100 & poigai alvar \\
13 & 14 & irandam thiruvandhadhi & 2182 & 2281 & 100 & bhoothathalvar \\
14 & 15 & moonram thiruvandhadhi & 2282 & 2381 & 100 & peyalvar \\
15 & 16 & naanmugan thiruvandhadhi & 2382 & 2477 & 96 & thirumalisai alvar \\
16 & 17 & thiruviruththam & 2478 & 2577 & 100 & nammalvar \\
17 & 18 & thiruvasiriyam & 2578 & 2584 & 7 & nammalvar \\
18 & 19 & peria thiruvandhadhi & 2585 & 2671 & 87 & nammalvar \\
19 & 20 & thiruvezhukkurrirukkai & 2672 & 2672 & 1 & thirumangai alvar \\
20 & 21 & siriya thirumadal & 2673 & 2673 & 1 & thirumangai alvar \\
21 & 22 & peria thirumadal & 2674 & 2674 & 1 & thirumangai alvar \\
22 & 23 & thiruvay mozhi & 2674 & 3776 & 1102 & nammalvar \\
23 & none & total number of pasurams & none & none & 3776 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& ending with \\
\midrule
0 & 3776 \\
\bottomrule
\end{tabular}
| select ending with where name of the prabandham = 'thiruvay mozhi' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>sl no</th>
<th>name of the prabandham</th>
<th>starting from</th>
<th>ending with</th>
<th>number of pasurams</th>
<th>sung by</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>periazhvar thirumozhi</td>
<td>1</td>
<td>473</td>
<td>473</td>
<td>periyalvar</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>thiruppavai</td>
<td>474</td>
<td>503</td>
<td>30</td>
<td>aandaal</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>nachiar tirumozhi</td>
<td>504</td>
<td>646</td>
<td>143</td>
<td>aandaal</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>perumal thirumozhi</td>
<td>647</td>
<td>751</td>
<td>105</td>
<td>kulasekara alvar</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>thiruchchanda viruththam</td>
<td>752</td>
<td>871</td>
<td>120</td>
<td>thirumalisai alvar</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>thirumalai</td>
<td>872</td>
<td>916</td>
<td>45</td>
<td>thondaradippodi alvar</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>thiruppalliyezhuchchi</td>
<td>917</td>
<td>926</td>
<td>10</td>
<td>thondaradippodi alvar</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>amalanadhi piran</td>
<td>927</td>
<td>936</td>
<td>10</td>
<td>thiruppaan alvar</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>kanni nun siruththambu</td>
<td>937</td>
<td>947</td>
<td>11</td>
<td>madhurakavi alvar</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>peria thirumozhi</td>
<td>948</td>
<td>2031</td>
<td>1084</td>
<td>thirumangai alvar</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>kurun thandagam</td>
<td>2032</td>
<td>2051</td>
<td>20</td>
<td>thirumangai alvar</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>nedum thandagam</td>
<td>2052</td>
<td>2081</td>
<td>30</td>
<td>thirumangai alvar</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>mudhal thiruvandhadhi</td>
<td>2082</td>
<td>2181</td>
<td>100</td>
<td>poigai alvar</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>irandam thiruvandhadhi</td>
<td>2182</td>
<td>2281</td>
<td>100</td>
<td>bhoothathalvar</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>moonram thiruvandhadhi</td>
<td>2282</td>
<td>2381</td>
<td>100</td>
<td>peyalvar</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>naanmugan thiruvandhadhi</td>
<td>2382</td>
<td>2477</td>
<td>96</td>
<td>thirumalisai alvar</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>thiruviruththam</td>
<td>2478</td>
<td>2577</td>
<td>100</td>
<td>nammalvar</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>thiruvasiriyam</td>
<td>2578</td>
<td>2584</td>
<td>7</td>
<td>nammalvar</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>peria thiruvandhadhi</td>
<td>2585</td>
<td>2671</td>
<td>87</td>
<td>nammalvar</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>thiruvezhukkurrirukkai</td>
<td>2672</td>
<td>2672</td>
<td>1</td>
<td>thirumangai alvar</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>siriya thirumadal</td>
<td>2673</td>
<td>2673</td>
<td>1</td>
<td>thirumangai alvar</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>peria thirumadal</td>
<td>2674</td>
<td>2674</td>
<td>1</td>
<td>thirumangai alvar</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>thiruvay mozhi</td>
<td>2674</td>
<td>3776</td>
<td>1102</td>
<td>nammalvar</td>
</tr>
<tr>
<th>23</th>
<td>none</td>
<td>total number of pasurams</td>
<td>none</td>
<td>none</td>
<td>3776</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>ending with</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3776</td>
</tr>
</tbody>
</table> | select ending with where name of the prabandham = 'thiruvay mozhi' <table_name> : table | | sl no | name of the prabandham | starting from | ending with | number of pasurams | sung by |
|---:|:--------|:-------------------------|:----------------|:--------------|---------------------:|:----------------------|
| 0 | 1 | periazhvar thirumozhi | 1 | 473 | 473 | periyalvar |
| 1 | 2 | thiruppavai | 474 | 503 | 30 | aandaal |
| 2 | 3 | nachiar tirumozhi | 504 | 646 | 143 | aandaal |
| 3 | 4 | perumal thirumozhi | 647 | 751 | 105 | kulasekara alvar |
| 4 | 5 | thiruchchanda viruththam | 752 | 871 | 120 | thirumalisai alvar |
| 5 | 6 | thirumalai | 872 | 916 | 45 | thondaradippodi alvar |
| 6 | 7 | thiruppalliyezhuchchi | 917 | 926 | 10 | thondaradippodi alvar |
| 7 | 8 | amalanadhi piran | 927 | 936 | 10 | thiruppaan alvar |
| 8 | 9 | kanni nun siruththambu | 937 | 947 | 11 | madhurakavi alvar |
| 9 | 10 | peria thirumozhi | 948 | 2031 | 1084 | thirumangai alvar |
| 10 | 11 | kurun thandagam | 2032 | 2051 | 20 | thirumangai alvar |
| 11 | 12 | nedum thandagam | 2052 | 2081 | 30 | thirumangai alvar |
| 12 | 13 | mudhal thiruvandhadhi | 2082 | 2181 | 100 | poigai alvar |
| 13 | 14 | irandam thiruvandhadhi | 2182 | 2281 | 100 | bhoothathalvar |
| 14 | 15 | moonram thiruvandhadhi | 2282 | 2381 | 100 | peyalvar |
| 15 | 16 | naanmugan thiruvandhadhi | 2382 | 2477 | 96 | thirumalisai alvar |
| 16 | 17 | thiruviruththam | 2478 | 2577 | 100 | nammalvar |
| 17 | 18 | thiruvasiriyam | 2578 | 2584 | 7 | nammalvar |
| 18 | 19 | peria thiruvandhadhi | 2585 | 2671 | 87 | nammalvar |
| 19 | 20 | thiruvezhukkurrirukkai | 2672 | 2672 | 1 | thirumangai alvar |
| 20 | 21 | siriya thirumadal | 2673 | 2673 | 1 | thirumangai alvar |
| 21 | 22 | peria thirumadal | 2674 | 2674 | 1 | thirumangai alvar |
| 22 | 23 | thiruvay mozhi | 2674 | 3776 | 1102 | nammalvar |
| 23 | none | total number of pasurams | none | none | 3776 | none | | | | ending with |
|---:|--------------:|
| 0 | 3776 | | [
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select count ( venue ) where position = '2008' col : year | competition | venue | position | notes row 1 : 1999 | world youth championships | bydgoszcz, poland | 13th (q) | 4.60 m row 2 : 2001 | european junior championships | grosseto, italy | 7th | 5.15 m row 3 : 2002 | world junior championships | kingston, jamaica | 8th | 5.30 m row 4 : 2003 | european u23 championships | bydgoszcz, poland | 13th (q) | 5.20 m row 5 : 2005 | european u23 championships | erfurt, germany | 7th | 5.50 m row 6 : 2005 | universiade | izmir, turkey | 5th | 5.50 m row 7 : 2006 | world indoor championships | moscow, russia | 10th (q) | 5.65 m row 8 : 2006 | european championships | gothenburg, sweden | 5th | 5.65 m row 9 : 2007 | european indoor championships | birmingham, united kingdom | 16th (q) | 5.40 m row 10 : 2008 | olympic games | beijing, china | 11th | 5.45 m row 11 : 2010 | european championships | barcelona, spain | 3rd | 5.75 m row 12 : 2012 | european championships | helsinki, finland | none | nm | col : count ( "venue" ) row 1 : 0 | select count ( venue ) where position = '2008' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 1999 & world youth championships & bydgoszcz, poland & 13th (q) & 4.60 m \\
1 & 2001 & european junior championships & grosseto, italy & 7th & 5.15 m \\
2 & 2002 & world junior championships & kingston, jamaica & 8th & 5.30 m \\
3 & 2003 & european u23 championships & bydgoszcz, poland & 13th (q) & 5.20 m \\
4 & 2005 & european u23 championships & erfurt, germany & 7th & 5.50 m \\
5 & 2005 & universiade & izmir, turkey & 5th & 5.50 m \\
6 & 2006 & world indoor championships & moscow, russia & 10th (q) & 5.65 m \\
7 & 2006 & european championships & gothenburg, sweden & 5th & 5.65 m \\
8 & 2007 & european indoor championships & birmingham, united kingdom & 16th (q) & 5.40 m \\
9 & 2008 & olympic games & beijing, china & 11th & 5.45 m \\
10 & 2010 & european championships & barcelona, spain & 3rd & 5.75 m \\
11 & 2012 & european championships & helsinki, finland & none & nm \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "venue" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( venue ) where position = '2008' <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>1999</td>
<td>world youth championships</td>
<td>bydgoszcz, poland</td>
<td>13th (q)</td>
<td>4.60 m</td>
</tr>
<tr>
<th>1</th>
<td>2001</td>
<td>european junior championships</td>
<td>grosseto, italy</td>
<td>7th</td>
<td>5.15 m</td>
</tr>
<tr>
<th>2</th>
<td>2002</td>
<td>world junior championships</td>
<td>kingston, jamaica</td>
<td>8th</td>
<td>5.30 m</td>
</tr>
<tr>
<th>3</th>
<td>2003</td>
<td>european u23 championships</td>
<td>bydgoszcz, poland</td>
<td>13th (q)</td>
<td>5.20 m</td>
</tr>
<tr>
<th>4</th>
<td>2005</td>
<td>european u23 championships</td>
<td>erfurt, germany</td>
<td>7th</td>
<td>5.50 m</td>
</tr>
<tr>
<th>5</th>
<td>2005</td>
<td>universiade</td>
<td>izmir, turkey</td>
<td>5th</td>
<td>5.50 m</td>
</tr>
<tr>
<th>6</th>
<td>2006</td>
<td>world indoor championships</td>
<td>moscow, russia</td>
<td>10th (q)</td>
<td>5.65 m</td>
</tr>
<tr>
<th>7</th>
<td>2006</td>
<td>european championships</td>
<td>gothenburg, sweden</td>
<td>5th</td>
<td>5.65 m</td>
</tr>
<tr>
<th>8</th>
<td>2007</td>
<td>european indoor championships</td>
<td>birmingham, united kingdom</td>
<td>16th (q)</td>
<td>5.40 m</td>
</tr>
<tr>
<th>9</th>
<td>2008</td>
<td>olympic games</td>
<td>beijing, china</td>
<td>11th</td>
<td>5.45 m</td>
</tr>
<tr>
<th>10</th>
<td>2010</td>
<td>european championships</td>
<td>barcelona, spain</td>
<td>3rd</td>
<td>5.75 m</td>
</tr>
<tr>
<th>11</th>
<td>2012</td>
<td>european championships</td>
<td>helsinki, finland</td>
<td>none</td>
<td>nm</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>0</td>
</tr>
</tbody>
</table> | select count ( venue ) where position = '2008' <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:------------------------------|:---------------------------|:-----------|:--------|
| 0 | 1999 | world youth championships | bydgoszcz, poland | 13th (q) | 4.60 m |
| 1 | 2001 | european junior championships | grosseto, italy | 7th | 5.15 m |
| 2 | 2002 | world junior championships | kingston, jamaica | 8th | 5.30 m |
| 3 | 2003 | european u23 championships | bydgoszcz, poland | 13th (q) | 5.20 m |
| 4 | 2005 | european u23 championships | erfurt, germany | 7th | 5.50 m |
| 5 | 2005 | universiade | izmir, turkey | 5th | 5.50 m |
| 6 | 2006 | world indoor championships | moscow, russia | 10th (q) | 5.65 m |
| 7 | 2006 | european championships | gothenburg, sweden | 5th | 5.65 m |
| 8 | 2007 | european indoor championships | birmingham, united kingdom | 16th (q) | 5.40 m |
| 9 | 2008 | olympic games | beijing, china | 11th | 5.45 m |
| 10 | 2010 | european championships | barcelona, spain | 3rd | 5.75 m |
| 11 | 2012 | european championships | helsinki, finland | none | nm | | | | count ( "venue" ) |
|---:|--------------------:|
| 0 | 0 | | [
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select metres where metres = 3004 col : name | metres | feet row 1 : marmolada | 3343 | 10968 row 2 : antelao | 3264 | 10706 row 3 : tofana di mezzo | 3241 | 10633 row 4 : punta sorapis | 3229 | 10594 row 5 : monte civetta | 3220 | 10564 row 6 : vernel | 3145 | 10319 row 7 : cristallo | 3221 | 10568 row 8 : cima di vezzana | 3192 | 10470 row 9 : cimon della pala | 3184 | 10453 row 10 : langkofel / sassolungo | 3181 | 10427 row 11 : pelmo | 3169 | 10397 row 12 : dreischusterspitze | 3162 | 10375 row 13 : boespitze / piz boe (sella group) | 3152 | 10342 row 14 : croda rossa (hohe gaisl) | 3148 | 10329 row 15 : piz popena | 3143 | 10312 row 16 : grohmannspitze (langkofel) | 3126 | 10256 row 17 : zwolferkofel | 3094 | 10151 row 18 : elferkofel | 3092 | 10144 row 19 : sass rigais (geislerspitzen) | 3025 | 9925 row 20 : kesselkogel (rosengarten) | 3004 | 9856 row 21 : tre cime di lavaredo (drei zinnen) | 2999 | 9839 row 22 : funffingerspitze | 2997 | 9833 row 23 : pala di san martino | 2982 | 9831 row 24 : rosengartenspitze / catinaccio | 2981 | 9781 row 25 : marmarole | 2961 | 9715 row 26 : cima di fradusta | 2941 | 9649 row 27 : monte agner | 2872 | 9416 row 28 : fermedaturm | 2867 | 9407 row 29 : cima d'asta | 2848 | 9344 row 30 : cima di canali | 2846 | 9338 row 31 : croda grande | 2839 | 9315 row 32 : vajoletturm / torri del vajolet (highest) | 2821 | 9256 row 33 : sass maor | 2816 | 9239 row 34 : cima di ball | 2783 | 9131 row 35 : cima della madonna (sass maor) | 2751 | 9026 row 36 : rosetta | 2741 | 8993 row 37 : croda da lago | 2716 | 8911 row 38 : central grasleitenspitze | 2705 | 8875 row 39 : schlern | 2562 | 8406 row 40 : sasso di mur | 2554 | 8380 row 41 : cima delle dodici | 2338 | 7671 row 42 : monte pavione | 2336 | 7664 row 43 : cima di posta | 2235 | 7333 row 44 : monte pasubio | 2232 | 7323 | col : metres row 1 : 3004 | select metres where metres = 3004 <table_name> : table \begin{tabular}{llll}
\toprule
& name & metres & feet \\
\midrule
0 & marmolada & 3343 & 10968 \\
1 & antelao & 3264 & 10706 \\
2 & tofana di mezzo & 3241 & 10633 \\
3 & punta sorapis & 3229 & 10594 \\
4 & monte civetta & 3220 & 10564 \\
5 & vernel & 3145 & 10319 \\
6 & cristallo & 3221 & 10568 \\
7 & cima di vezzana & 3192 & 10470 \\
8 & cimon della pala & 3184 & 10453 \\
9 & langkofel / sassolungo & 3181 & 10427 \\
10 & pelmo & 3169 & 10397 \\
11 & dreischusterspitze & 3162 & 10375 \\
12 & boespitze / piz boe (sella group) & 3152 & 10342 \\
13 & croda rossa (hohe gaisl) & 3148 & 10329 \\
14 & piz popena & 3143 & 10312 \\
15 & grohmannspitze (langkofel) & 3126 & 10256 \\
16 & zwolferkofel & 3094 & 10151 \\
17 & elferkofel & 3092 & 10144 \\
18 & sass rigais (geislerspitzen) & 3025 & 9925 \\
19 & kesselkogel (rosengarten) & 3004 & 9856 \\
20 & tre cime di lavaredo (drei zinnen) & 2999 & 9839 \\
21 & funffingerspitze & 2997 & 9833 \\
22 & pala di san martino & 2982 & 9831 \\
23 & rosengartenspitze / catinaccio & 2981 & 9781 \\
24 & marmarole & 2961 & 9715 \\
25 & cima di fradusta & 2941 & 9649 \\
26 & monte agner & 2872 & 9416 \\
27 & fermedaturm & 2867 & 9407 \\
28 & cima d'asta & 2848 & 9344 \\
29 & cima di canali & 2846 & 9338 \\
30 & croda grande & 2839 & 9315 \\
31 & vajoletturm / torri del vajolet (highest) & 2821 & 9256 \\
32 & sass maor & 2816 & 9239 \\
33 & cima di ball & 2783 & 9131 \\
34 & cima della madonna (sass maor) & 2751 & 9026 \\
35 & rosetta & 2741 & 8993 \\
36 & croda da lago & 2716 & 8911 \\
37 & central grasleitenspitze & 2705 & 8875 \\
38 & schlern & 2562 & 8406 \\
39 & sasso di mur & 2554 & 8380 \\
40 & cima delle dodici & 2338 & 7671 \\
41 & monte pavione & 2336 & 7664 \\
42 & cima di posta & 2235 & 7333 \\
43 & monte pasubio & 2232 & 7323 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& metres \\
\midrule
0 & 3004 \\
\bottomrule
\end{tabular}
| select metres where metres = 3004 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>metres</th>
<th>feet</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>marmolada</td>
<td>3343</td>
<td>10968</td>
</tr>
<tr>
<th>1</th>
<td>antelao</td>
<td>3264</td>
<td>10706</td>
</tr>
<tr>
<th>2</th>
<td>tofana di mezzo</td>
<td>3241</td>
<td>10633</td>
</tr>
<tr>
<th>3</th>
<td>punta sorapis</td>
<td>3229</td>
<td>10594</td>
</tr>
<tr>
<th>4</th>
<td>monte civetta</td>
<td>3220</td>
<td>10564</td>
</tr>
<tr>
<th>5</th>
<td>vernel</td>
<td>3145</td>
<td>10319</td>
</tr>
<tr>
<th>6</th>
<td>cristallo</td>
<td>3221</td>
<td>10568</td>
</tr>
<tr>
<th>7</th>
<td>cima di vezzana</td>
<td>3192</td>
<td>10470</td>
</tr>
<tr>
<th>8</th>
<td>cimon della pala</td>
<td>3184</td>
<td>10453</td>
</tr>
<tr>
<th>9</th>
<td>langkofel / sassolungo</td>
<td>3181</td>
<td>10427</td>
</tr>
<tr>
<th>10</th>
<td>pelmo</td>
<td>3169</td>
<td>10397</td>
</tr>
<tr>
<th>11</th>
<td>dreischusterspitze</td>
<td>3162</td>
<td>10375</td>
</tr>
<tr>
<th>12</th>
<td>boespitze / piz boe (sella group)</td>
<td>3152</td>
<td>10342</td>
</tr>
<tr>
<th>13</th>
<td>croda rossa (hohe gaisl)</td>
<td>3148</td>
<td>10329</td>
</tr>
<tr>
<th>14</th>
<td>piz popena</td>
<td>3143</td>
<td>10312</td>
</tr>
<tr>
<th>15</th>
<td>grohmannspitze (langkofel)</td>
<td>3126</td>
<td>10256</td>
</tr>
<tr>
<th>16</th>
<td>zwolferkofel</td>
<td>3094</td>
<td>10151</td>
</tr>
<tr>
<th>17</th>
<td>elferkofel</td>
<td>3092</td>
<td>10144</td>
</tr>
<tr>
<th>18</th>
<td>sass rigais (geislerspitzen)</td>
<td>3025</td>
<td>9925</td>
</tr>
<tr>
<th>19</th>
<td>kesselkogel (rosengarten)</td>
<td>3004</td>
<td>9856</td>
</tr>
<tr>
<th>20</th>
<td>tre cime di lavaredo (drei zinnen)</td>
<td>2999</td>
<td>9839</td>
</tr>
<tr>
<th>21</th>
<td>funffingerspitze</td>
<td>2997</td>
<td>9833</td>
</tr>
<tr>
<th>22</th>
<td>pala di san martino</td>
<td>2982</td>
<td>9831</td>
</tr>
<tr>
<th>23</th>
<td>rosengartenspitze / catinaccio</td>
<td>2981</td>
<td>9781</td>
</tr>
<tr>
<th>24</th>
<td>marmarole</td>
<td>2961</td>
<td>9715</td>
</tr>
<tr>
<th>25</th>
<td>cima di fradusta</td>
<td>2941</td>
<td>9649</td>
</tr>
<tr>
<th>26</th>
<td>monte agner</td>
<td>2872</td>
<td>9416</td>
</tr>
<tr>
<th>27</th>
<td>fermedaturm</td>
<td>2867</td>
<td>9407</td>
</tr>
<tr>
<th>28</th>
<td>cima d'asta</td>
<td>2848</td>
<td>9344</td>
</tr>
<tr>
<th>29</th>
<td>cima di canali</td>
<td>2846</td>
<td>9338</td>
</tr>
<tr>
<th>30</th>
<td>croda grande</td>
<td>2839</td>
<td>9315</td>
</tr>
<tr>
<th>31</th>
<td>vajoletturm / torri del vajolet (highest)</td>
<td>2821</td>
<td>9256</td>
</tr>
<tr>
<th>32</th>
<td>sass maor</td>
<td>2816</td>
<td>9239</td>
</tr>
<tr>
<th>33</th>
<td>cima di ball</td>
<td>2783</td>
<td>9131</td>
</tr>
<tr>
<th>34</th>
<td>cima della madonna (sass maor)</td>
<td>2751</td>
<td>9026</td>
</tr>
<tr>
<th>35</th>
<td>rosetta</td>
<td>2741</td>
<td>8993</td>
</tr>
<tr>
<th>36</th>
<td>croda da lago</td>
<td>2716</td>
<td>8911</td>
</tr>
<tr>
<th>37</th>
<td>central grasleitenspitze</td>
<td>2705</td>
<td>8875</td>
</tr>
<tr>
<th>38</th>
<td>schlern</td>
<td>2562</td>
<td>8406</td>
</tr>
<tr>
<th>39</th>
<td>sasso di mur</td>
<td>2554</td>
<td>8380</td>
</tr>
<tr>
<th>40</th>
<td>cima delle dodici</td>
<td>2338</td>
<td>7671</td>
</tr>
<tr>
<th>41</th>
<td>monte pavione</td>
<td>2336</td>
<td>7664</td>
</tr>
<tr>
<th>42</th>
<td>cima di posta</td>
<td>2235</td>
<td>7333</td>
</tr>
<tr>
<th>43</th>
<td>monte pasubio</td>
<td>2232</td>
<td>7323</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>metres</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3004</td>
</tr>
</tbody>
</table> | select metres where metres = 3004 <table_name> : table | | name | metres | feet |
|---:|:------------------------------------------|---------:|-------:|
| 0 | marmolada | 3343 | 10968 |
| 1 | antelao | 3264 | 10706 |
| 2 | tofana di mezzo | 3241 | 10633 |
| 3 | punta sorapis | 3229 | 10594 |
| 4 | monte civetta | 3220 | 10564 |
| 5 | vernel | 3145 | 10319 |
| 6 | cristallo | 3221 | 10568 |
| 7 | cima di vezzana | 3192 | 10470 |
| 8 | cimon della pala | 3184 | 10453 |
| 9 | langkofel / sassolungo | 3181 | 10427 |
| 10 | pelmo | 3169 | 10397 |
| 11 | dreischusterspitze | 3162 | 10375 |
| 12 | boespitze / piz boe (sella group) | 3152 | 10342 |
| 13 | croda rossa (hohe gaisl) | 3148 | 10329 |
| 14 | piz popena | 3143 | 10312 |
| 15 | grohmannspitze (langkofel) | 3126 | 10256 |
| 16 | zwolferkofel | 3094 | 10151 |
| 17 | elferkofel | 3092 | 10144 |
| 18 | sass rigais (geislerspitzen) | 3025 | 9925 |
| 19 | kesselkogel (rosengarten) | 3004 | 9856 |
| 20 | tre cime di lavaredo (drei zinnen) | 2999 | 9839 |
| 21 | funffingerspitze | 2997 | 9833 |
| 22 | pala di san martino | 2982 | 9831 |
| 23 | rosengartenspitze / catinaccio | 2981 | 9781 |
| 24 | marmarole | 2961 | 9715 |
| 25 | cima di fradusta | 2941 | 9649 |
| 26 | monte agner | 2872 | 9416 |
| 27 | fermedaturm | 2867 | 9407 |
| 28 | cima d'asta | 2848 | 9344 |
| 29 | cima di canali | 2846 | 9338 |
| 30 | croda grande | 2839 | 9315 |
| 31 | vajoletturm / torri del vajolet (highest) | 2821 | 9256 |
| 32 | sass maor | 2816 | 9239 |
| 33 | cima di ball | 2783 | 9131 |
| 34 | cima della madonna (sass maor) | 2751 | 9026 |
| 35 | rosetta | 2741 | 8993 |
| 36 | croda da lago | 2716 | 8911 |
| 37 | central grasleitenspitze | 2705 | 8875 |
| 38 | schlern | 2562 | 8406 |
| 39 | sasso di mur | 2554 | 8380 |
| 40 | cima delle dodici | 2338 | 7671 |
| 41 | monte pavione | 2336 | 7664 |
| 42 | cima di posta | 2235 | 7333 |
| 43 | monte pasubio | 2232 | 7323 | | | | metres |
|---:|---------:|
| 0 | 3004 | | [
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21193,
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6921,
736,
14699,
373,
2
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select end date where series < 4 order by series desc limit 1 col : series | start date | end date | episodes row 1 : 1 | 29 october 1986 | 31 december 1986 | 10 row 2 : 2 | 15 april 1987 | 24 june 1987 | 10 row 3 : 3 | 17 september 1987 | 28 january 1988 | 20 row 4 : 4 | 4 october 1988 | 14 february 1989 | 20 row 5 : 5 | 25 december 1989 | 4 june 1990 | 21 row 6 : 6 | 25 september 1990 | 12 february 1991 | 21 row 7 : 7 | 23 september 1991 | 26 december 1991 | 13 row 8 : 8 | 21 september 1992 | 28 december 1992 | 12 row 9 : 9 | 27 september 1993 | 27 december 1993 | 14 row 10 : 10 | 13 september 1994 | 29 december 1994 | 14 row 11 : 11 | 12 december 1996 | 3 april 1997 | 16 row 12 : 12 | 8 september 1997 | 29 december 1997 | 16 row 13 : 13 | 17 september 1998 | 31 december 1998 | 16 row 14 : 14 | 7 june 1999 | 23 august 1999 | 12 | col : end date row 1 : 31 december 1986 row 2 : 24 june 1987 row 3 : 28 january 1988 row 4 : 14 february 1989 row 5 : 29 december 1994 row 6 : 3 april 1997 row 7 : 29 december 1997 row 8 : 31 december 1998 row 9 : 23 august 1999 | select end date where series < 4 order by series desc limit 1 <table_name> : table \begin{tabular}{lllll}
\toprule
& series & start date & end date & episodes \\
\midrule
0 & 1 & 29 october 1986 & 31 december 1986 & 10 \\
1 & 2 & 15 april 1987 & 24 june 1987 & 10 \\
2 & 3 & 17 september 1987 & 28 january 1988 & 20 \\
3 & 4 & 4 october 1988 & 14 february 1989 & 20 \\
4 & 5 & 25 december 1989 & 4 june 1990 & 21 \\
5 & 6 & 25 september 1990 & 12 february 1991 & 21 \\
6 & 7 & 23 september 1991 & 26 december 1991 & 13 \\
7 & 8 & 21 september 1992 & 28 december 1992 & 12 \\
8 & 9 & 27 september 1993 & 27 december 1993 & 14 \\
9 & 10 & 13 september 1994 & 29 december 1994 & 14 \\
10 & 11 & 12 december 1996 & 3 april 1997 & 16 \\
11 & 12 & 8 september 1997 & 29 december 1997 & 16 \\
12 & 13 & 17 september 1998 & 31 december 1998 & 16 \\
13 & 14 & 7 june 1999 & 23 august 1999 & 12 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& end date \\
\midrule
0 & 31 december 1986 \\
1 & 24 june 1987 \\
2 & 28 january 1988 \\
3 & 14 february 1989 \\
4 & 29 december 1994 \\
5 & 3 april 1997 \\
6 & 29 december 1997 \\
7 & 31 december 1998 \\
8 & 23 august 1999 \\
\bottomrule
\end{tabular}
| select end date where series < 4 order by series desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>series</th>
<th>start date</th>
<th>end date</th>
<th>episodes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>29 october 1986</td>
<td>31 december 1986</td>
<td>10</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>15 april 1987</td>
<td>24 june 1987</td>
<td>10</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>17 september 1987</td>
<td>28 january 1988</td>
<td>20</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>4 october 1988</td>
<td>14 february 1989</td>
<td>20</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>25 december 1989</td>
<td>4 june 1990</td>
<td>21</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>25 september 1990</td>
<td>12 february 1991</td>
<td>21</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>23 september 1991</td>
<td>26 december 1991</td>
<td>13</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>21 september 1992</td>
<td>28 december 1992</td>
<td>12</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>27 september 1993</td>
<td>27 december 1993</td>
<td>14</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>13 september 1994</td>
<td>29 december 1994</td>
<td>14</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>12 december 1996</td>
<td>3 april 1997</td>
<td>16</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>8 september 1997</td>
<td>29 december 1997</td>
<td>16</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>17 september 1998</td>
<td>31 december 1998</td>
<td>16</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>7 june 1999</td>
<td>23 august 1999</td>
<td>12</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>end date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>31 december 1986</td>
</tr>
<tr>
<th>1</th>
<td>24 june 1987</td>
</tr>
<tr>
<th>2</th>
<td>28 january 1988</td>
</tr>
<tr>
<th>3</th>
<td>14 february 1989</td>
</tr>
<tr>
<th>4</th>
<td>29 december 1994</td>
</tr>
<tr>
<th>5</th>
<td>3 april 1997</td>
</tr>
<tr>
<th>6</th>
<td>29 december 1997</td>
</tr>
<tr>
<th>7</th>
<td>31 december 1998</td>
</tr>
<tr>
<th>8</th>
<td>23 august 1999</td>
</tr>
</tbody>
</table> | select end date where series < 4 order by series desc limit 1 <table_name> : table | | series | start date | end date | episodes |
|---:|---------:|:------------------|:-----------------|-----------:|
| 0 | 1 | 29 october 1986 | 31 december 1986 | 10 |
| 1 | 2 | 15 april 1987 | 24 june 1987 | 10 |
| 2 | 3 | 17 september 1987 | 28 january 1988 | 20 |
| 3 | 4 | 4 october 1988 | 14 february 1989 | 20 |
| 4 | 5 | 25 december 1989 | 4 june 1990 | 21 |
| 5 | 6 | 25 september 1990 | 12 february 1991 | 21 |
| 6 | 7 | 23 september 1991 | 26 december 1991 | 13 |
| 7 | 8 | 21 september 1992 | 28 december 1992 | 12 |
| 8 | 9 | 27 september 1993 | 27 december 1993 | 14 |
| 9 | 10 | 13 september 1994 | 29 december 1994 | 14 |
| 10 | 11 | 12 december 1996 | 3 april 1997 | 16 |
| 11 | 12 | 8 september 1997 | 29 december 1997 | 16 |
| 12 | 13 | 17 september 1998 | 31 december 1998 | 16 |
| 13 | 14 | 7 june 1999 | 23 august 1999 | 12 | | | | end date |
|---:|:-----------------|
| 0 | 31 december 1986 |
| 1 | 24 june 1987 |
| 2 | 28 january 1988 |
| 3 | 14 february 1989 |
| 4 | 29 december 1994 |
| 5 | 3 april 1997 |
| 6 | 29 december 1997 |
| 7 | 31 december 1998 |
| 8 | 23 august 1999 | | [
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select count ( * ) where nickname = 861 col : club | town | founded | nickname | colours | home ground | titles | website row 1 : churchill united | churchill | 1969 | rams | silver & red | hazelwood south reserve | 4 | row 2 : east gippsland united | bairnsdale | 2009 | none | navy blue & gold | howitt park sports complex | 0 | row 3 : falcons 2000 | morwell | 1961 | falcons | blue & black | latrobe city soccer stadium | 2 | row 4 : fortuna 60 | morwell | 1960 | lions | orange & black | crinigan road south reserve | 9 | row 5 : moe united | moe | 1952 | red devils | red, black & white | olympic park | 7 | row 6 : monash | newborough | 1958 | wolves | gold & black | monash reserve | 0 | row 7 : morwell pegasus | morwell | 1959 | the flying horse | maroon & sky blue | ronald reserve | 5 | row 8 : newborough/yallourn | newborough | none | none | navy blue | burrage reserve | 8 | row 9 : sale united | sale | 1974 | swans | green & white | godfrey baldwin reserve | 1 | row 10 : traralgon city | traralgon | 1968 | roosters | black & white | harold preston reserve | 0 | row 11 : traralgon olympians | traralgon | 1980 | olympians | blue & white | harold preston reserve | 8 | row 12 : tyers | tyers | 1982 | lightning | green & gold | tyers recreation reserve | 0 | | col : count ( "*" ) row 1 : 0 | select count ( * ) where nickname = 861 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& club & town & founded & nickname & colours & home ground & titles & website \\
\midrule
0 & churchill united & churchill & 1969 & rams & silver & red & hazelwood south reserve & 4 & \\
1 & east gippsland united & bairnsdale & 2009 & none & navy blue & gold & howitt park sports complex & 0 & \\
2 & falcons 2000 & morwell & 1961 & falcons & blue & black & latrobe city soccer stadium & 2 & \\
3 & fortuna 60 & morwell & 1960 & lions & orange & black & crinigan road south reserve & 9 & \\
4 & moe united & moe & 1952 & red devils & red, black & white & olympic park & 7 & \\
5 & monash & newborough & 1958 & wolves & gold & black & monash reserve & 0 & \\
6 & morwell pegasus & morwell & 1959 & the flying horse & maroon & sky blue & ronald reserve & 5 & \\
7 & newborough/yallourn & newborough & none & none & navy blue & burrage reserve & 8 & \\
8 & sale united & sale & 1974 & swans & green & white & godfrey baldwin reserve & 1 & \\
9 & traralgon city & traralgon & 1968 & roosters & black & white & harold preston reserve & 0 & \\
10 & traralgon olympians & traralgon & 1980 & olympians & blue & white & harold preston reserve & 8 & \\
11 & tyers & tyers & 1982 & lightning & green & gold & tyers recreation reserve & 0 | & NaN \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where nickname = 861 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>club</th>
<th>town</th>
<th>founded</th>
<th>nickname</th>
<th>colours</th>
<th>home ground</th>
<th>titles</th>
<th>website</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>churchill united</td>
<td>churchill</td>
<td>1969</td>
<td>rams</td>
<td>silver & red</td>
<td>hazelwood south reserve</td>
<td>4</td>
<td></td>
</tr>
<tr>
<th>1</th>
<td>east gippsland united</td>
<td>bairnsdale</td>
<td>2009</td>
<td>none</td>
<td>navy blue & gold</td>
<td>howitt park sports complex</td>
<td>0</td>
<td></td>
</tr>
<tr>
<th>2</th>
<td>falcons 2000</td>
<td>morwell</td>
<td>1961</td>
<td>falcons</td>
<td>blue & black</td>
<td>latrobe city soccer stadium</td>
<td>2</td>
<td></td>
</tr>
<tr>
<th>3</th>
<td>fortuna 60</td>
<td>morwell</td>
<td>1960</td>
<td>lions</td>
<td>orange & black</td>
<td>crinigan road south reserve</td>
<td>9</td>
<td></td>
</tr>
<tr>
<th>4</th>
<td>moe united</td>
<td>moe</td>
<td>1952</td>
<td>red devils</td>
<td>red, black & white</td>
<td>olympic park</td>
<td>7</td>
<td></td>
</tr>
<tr>
<th>5</th>
<td>monash</td>
<td>newborough</td>
<td>1958</td>
<td>wolves</td>
<td>gold & black</td>
<td>monash reserve</td>
<td>0</td>
<td></td>
</tr>
<tr>
<th>6</th>
<td>morwell pegasus</td>
<td>morwell</td>
<td>1959</td>
<td>the flying horse</td>
<td>maroon & sky blue</td>
<td>ronald reserve</td>
<td>5</td>
<td></td>
</tr>
<tr>
<th>7</th>
<td>newborough/yallourn</td>
<td>newborough</td>
<td>none</td>
<td>none</td>
<td>navy blue</td>
<td>burrage reserve</td>
<td>8</td>
<td></td>
</tr>
<tr>
<th>8</th>
<td>sale united</td>
<td>sale</td>
<td>1974</td>
<td>swans</td>
<td>green & white</td>
<td>godfrey baldwin reserve</td>
<td>1</td>
<td></td>
</tr>
<tr>
<th>9</th>
<td>traralgon city</td>
<td>traralgon</td>
<td>1968</td>
<td>roosters</td>
<td>black & white</td>
<td>harold preston reserve</td>
<td>0</td>
<td></td>
</tr>
<tr>
<th>10</th>
<td>traralgon olympians</td>
<td>traralgon</td>
<td>1980</td>
<td>olympians</td>
<td>blue & white</td>
<td>harold preston reserve</td>
<td>8</td>
<td></td>
</tr>
<tr>
<th>11</th>
<td>tyers</td>
<td>tyers</td>
<td>1982</td>
<td>lightning</td>
<td>green & gold</td>
<td>tyers recreation reserve</td>
<td>0 |</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>0</td>
</tr>
</tbody>
</table> | select count ( * ) where nickname = 861 <table_name> : table | | club | town | founded | nickname | colours | home ground | titles | website |
|---:|:----------------------|:-----------|:----------|:-----------------|:-------------------|:----------------------------|:---------|:----------|
| 0 | churchill united | churchill | 1969 | rams | silver & red | hazelwood south reserve | 4 | |
| 1 | east gippsland united | bairnsdale | 2009 | none | navy blue & gold | howitt park sports complex | 0 | |
| 2 | falcons 2000 | morwell | 1961 | falcons | blue & black | latrobe city soccer stadium | 2 | |
| 3 | fortuna 60 | morwell | 1960 | lions | orange & black | crinigan road south reserve | 9 | |
| 4 | moe united | moe | 1952 | red devils | red, black & white | olympic park | 7 | |
| 5 | monash | newborough | 1958 | wolves | gold & black | monash reserve | 0 | |
| 6 | morwell pegasus | morwell | 1959 | the flying horse | maroon & sky blue | ronald reserve | 5 | |
| 7 | newborough/yallourn | newborough | none | none | navy blue | burrage reserve | 8 | |
| 8 | sale united | sale | 1974 | swans | green & white | godfrey baldwin reserve | 1 | |
| 9 | traralgon city | traralgon | 1968 | roosters | black & white | harold preston reserve | 0 | |
| 10 | traralgon olympians | traralgon | 1980 | olympians | blue & white | harold preston reserve | 8 | |
| 11 | tyers | tyers | 1982 | lightning | green & gold | tyers recreation reserve | 0 | | | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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