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select count ( date ) where date = 'october 18, 1981' col : week | date | opponent | result | attendance row 1 : 1 | 1981-09-06 00:00:00 | at los angeles rams | w 27-20 | 63,198 row 2 : 2 | 1981-09-13 00:00:00 | at cleveland browns | w 9-3 | 79,483 row 3 : 3 | 1981-09-20 00:00:00 | miami dolphins | l 16-10 | 47,379 row 4 : 4 | 1981-09-27 00:00:00 | at new york jets | l 33-17 | 50,309 row 5 : 5 | 1981-10-04 00:00:00 | cincinnati bengals | w 17-10 | 44,350 row 6 : 6 | 1981-10-11 00:00:00 | seattle seahawks | w 35-17 | 42,671 row 7 : 7 | 1981-10-18 00:00:00 | at new england patriots | l 38-10 | 60,474 row 8 : 8 | 1981-10-26 00:00:00 | at pittsburgh steelers | l 26-13 | 52,732 row 9 : 9 | 1981-11-01 00:00:00 | at cincinnati bengals | l 34-21 | 54,736 row 10 : 10 | 1981-11-08 00:00:00 | oakland raiders | w 17-16 | 45,519 row 11 : 11 | 1981-11-15 00:00:00 | at kansas city chiefs | l 23-10 | 73,984 row 12 : 12 | 1981-11-22 00:00:00 | new orleans saints | l 27-24 | 49,581 row 13 : 13 | 1981-11-29 00:00:00 | atlanta falcons | l 31-27 | 40,201 row 14 : 14 | 1981-12-03 00:00:00 | cleveland browns | w 17-13 | 44,502 row 15 : 15 | 1981-12-13 00:00:00 | at san francisco 49ers | l 28-6 | 55,707 row 16 : 16 | 1981-12-20 00:00:00 | pittsburgh steelers | w 21-20 | 41,056

col : count ( "date" ) row 1 : 1

select count ( date ) where date = 'october 18, 1981' <table_name> : table \begin{tabular}{llllll} \toprule & week & date & opponent & result & attendance \\ \midrule 0 & 1 & 1981-09-06 00:00:00 & at los angeles rams & w 27-20 & 63,198 \\ 1 & 2 & 1981-09-13 00:00:00 & at cleveland browns & w 9-3 & 79,483 \\ 2 & 3 & 1981-09-20 00:00:00 & miami dolphins & l 16-10 & 47,379 \\ 3 & 4 & 1981-09-27 00:00:00 & at new york jets & l 33-17 & 50,309 \\ 4 & 5 & 1981-10-04 00:00:00 & cincinnati bengals & w 17-10 & 44,350 \\ 5 & 6 & 1981-10-11 00:00:00 & seattle seahawks & w 35-17 & 42,671 \\ 6 & 7 & 1981-10-18 00:00:00 & at new england patriots & l 38-10 & 60,474 \\ 7 & 8 & 1981-10-26 00:00:00 & at pittsburgh steelers & l 26-13 & 52,732 \\ 8 & 9 & 1981-11-01 00:00:00 & at cincinnati bengals & l 34-21 & 54,736 \\ 9 & 10 & 1981-11-08 00:00:00 & oakland raiders & w 17-16 & 45,519 \\ 10 & 11 & 1981-11-15 00:00:00 & at kansas city chiefs & l 23-10 & 73,984 \\ 11 & 12 & 1981-11-22 00:00:00 & new orleans saints & l 27-24 & 49,581 \\ 12 & 13 & 1981-11-29 00:00:00 & atlanta falcons & l 31-27 & 40,201 \\ 13 & 14 & 1981-12-03 00:00:00 & cleveland browns & w 17-13 & 44,502 \\ 14 & 15 & 1981-12-13 00:00:00 & at san francisco 49ers & l 28-6 & 55,707 \\ 15 & 16 & 1981-12-20 00:00:00 & pittsburgh steelers & w 21-20 & 41,056 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "date" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( date ) where date = 'october 18, 1981' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>week</th> <th>date</th> <th>opponent</th> <th>result</th> <th>attendance</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>1981-09-06 00:00:00</td> <td>at los angeles rams</td> <td>w 27-20</td> <td>63,198</td> </tr> <tr> <th>1</th> <td>2</td> <td>1981-09-13 00:00:00</td> <td>at cleveland browns</td> <td>w 9-3</td> <td>79,483</td> </tr> <tr> <th>2</th> <td>3</td> <td>1981-09-20 00:00:00</td> <td>miami dolphins</td> <td>l 16-10</td> <td>47,379</td> </tr> <tr> <th>3</th> <td>4</td> <td>1981-09-27 00:00:00</td> <td>at new york jets</td> <td>l 33-17</td> <td>50,309</td> </tr> <tr> <th>4</th> <td>5</td> <td>1981-10-04 00:00:00</td> <td>cincinnati bengals</td> <td>w 17-10</td> <td>44,350</td> </tr> <tr> <th>5</th> <td>6</td> <td>1981-10-11 00:00:00</td> <td>seattle seahawks</td> <td>w 35-17</td> <td>42,671</td> </tr> <tr> <th>6</th> <td>7</td> <td>1981-10-18 00:00:00</td> <td>at new england patriots</td> <td>l 38-10</td> <td>60,474</td> </tr> <tr> <th>7</th> <td>8</td> <td>1981-10-26 00:00:00</td> <td>at pittsburgh steelers</td> <td>l 26-13</td> <td>52,732</td> </tr> <tr> <th>8</th> <td>9</td> <td>1981-11-01 00:00:00</td> <td>at cincinnati bengals</td> <td>l 34-21</td> <td>54,736</td> </tr> <tr> <th>9</th> <td>10</td> <td>1981-11-08 00:00:00</td> <td>oakland raiders</td> <td>w 17-16</td> <td>45,519</td> </tr> <tr> <th>10</th> <td>11</td> <td>1981-11-15 00:00:00</td> <td>at kansas city chiefs</td> <td>l 23-10</td> <td>73,984</td> </tr> <tr> <th>11</th> <td>12</td> <td>1981-11-22 00:00:00</td> <td>new orleans saints</td> <td>l 27-24</td> <td>49,581</td> </tr> <tr> <th>12</th> <td>13</td> <td>1981-11-29 00:00:00</td> <td>atlanta falcons</td> <td>l 31-27</td> <td>40,201</td> </tr> <tr> <th>13</th> <td>14</td> <td>1981-12-03 00:00:00</td> <td>cleveland browns</td> <td>w 17-13</td> <td>44,502</td> </tr> <tr> <th>14</th> <td>15</td> <td>1981-12-13 00:00:00</td> <td>at san francisco 49ers</td> <td>l 28-6</td> <td>55,707</td> </tr> <tr> <th>15</th> <td>16</td> <td>1981-12-20 00:00:00</td> <td>pittsburgh steelers</td> <td>w 21-20</td> <td>41,056</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "date" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( date ) where date = 'october 18, 1981' <table_name> : table | | week | date | opponent | result | attendance | |---:|-------:|:--------------------|:------------------------|:---------|:-------------| | 0 | 1 | 1981-09-06 00:00:00 | at los angeles rams | w 27-20 | 63,198 | | 1 | 2 | 1981-09-13 00:00:00 | at cleveland browns | w 9-3 | 79,483 | | 2 | 3 | 1981-09-20 00:00:00 | miami dolphins | l 16-10 | 47,379 | | 3 | 4 | 1981-09-27 00:00:00 | at new york jets | l 33-17 | 50,309 | | 4 | 5 | 1981-10-04 00:00:00 | cincinnati bengals | w 17-10 | 44,350 | | 5 | 6 | 1981-10-11 00:00:00 | seattle seahawks | w 35-17 | 42,671 | | 6 | 7 | 1981-10-18 00:00:00 | at new england patriots | l 38-10 | 60,474 | | 7 | 8 | 1981-10-26 00:00:00 | at pittsburgh steelers | l 26-13 | 52,732 | | 8 | 9 | 1981-11-01 00:00:00 | at cincinnati bengals | l 34-21 | 54,736 | | 9 | 10 | 1981-11-08 00:00:00 | oakland raiders | w 17-16 | 45,519 | | 10 | 11 | 1981-11-15 00:00:00 | at kansas city chiefs | l 23-10 | 73,984 | | 11 | 12 | 1981-11-22 00:00:00 | new orleans saints | l 27-24 | 49,581 | | 12 | 13 | 1981-11-29 00:00:00 | atlanta falcons | l 31-27 | 40,201 | | 13 | 14 | 1981-12-03 00:00:00 | cleveland browns | w 17-13 | 44,502 | | 14 | 15 | 1981-12-13 00:00:00 | at san francisco 49ers | l 28-6 | 55,707 | | 15 | 16 | 1981-12-20 00:00:00 | pittsburgh steelers | w 21-20 | 41,056 |

| | count ( "date" ) | |---:|-------------------:| | 0 | 1 |

select max ( production code ) where directed by = 'david solomon' col : no. in series | no. in season | title | directed by | written by | original air date | production code | u.s. viewers (millions) row 1 : 1 | 1 | "pilot" | jace alexander | matt nix | june 28, 2007 | bn100 | 4 row 2 : 2 | 2 | "identity" | rod hardy | matt nix | july 5, 2007 | bn101 | 4 row 3 : 3 | 3 | "fight or flight" | colin bucksey | craig o'neill & jason tracey | july 12, 2007 | bn103 | none row 4 : 4 | 4 | "old friends" | david solomon | alfredo barrios, jr | july 19, 2007 | bn102 | none row 5 : 5 | 5 | "family business" | sandy bookstaver | matt nix | july 26, 2007 | bn104 | none row 6 : 6 | 6 | "unpaid debts" | paul holahan | nick thiel | august 2, 2007 | bn105 | 4.41 row 7 : 7 | 7 | "broken rules" | tim matheson | mere smith | august 9, 2007 | bn106 | none row 8 : 8 | 8 | "wanted man" | ken girotti | craig o'neill & jason tracey | august 16, 2007 | bn107 | none row 9 : 9 | 9 | "hard bargain" | john kretchmer | alfredo barrios, jr | august 23, 2007 | bn108 | 4.08 row 10 : 10 | 10 | "false flag" | paul shapiro | matt nix & ben watkins | september 13, 2007 | bn109 | 4 row 11 : 11 | 11 | "dead drop" | jeremiah chechik | craig o'neill & jason tracey | september 20, 2007 | bn110 | 4.8 row 12 : 12 | 12 | "loose ends" | stephen surjik | matt nix & alfredo barrios, jr | september 20, 2007 | bn111 | 4.8

col : max ( "production code" ) row 1 : bn102

select max ( production code ) where directed by = 'david solomon' <table_name> : table \begin{tabular}{lllllllll} \toprule & no. in series & no. in season & title & directed by & written by & original air date & production code & u.s. viewers (millions) \\ \midrule 0 & 1 & 1 & "pilot" & jace alexander & matt nix & june 28, 2007 & bn100 & 4 \\ 1 & 2 & 2 & "identity" & rod hardy & matt nix & july 5, 2007 & bn101 & 4 \\ 2 & 3 & 3 & "fight or flight" & colin bucksey & craig o'neill & jason tracey & july 12, 2007 & bn103 & none \\ 3 & 4 & 4 & "old friends" & david solomon & alfredo barrios, jr & july 19, 2007 & bn102 & none \\ 4 & 5 & 5 & "family business" & sandy bookstaver & matt nix & july 26, 2007 & bn104 & none \\ 5 & 6 & 6 & "unpaid debts" & paul holahan & nick thiel & august 2, 2007 & bn105 & 4.41 \\ 6 & 7 & 7 & "broken rules" & tim matheson & mere smith & august 9, 2007 & bn106 & none \\ 7 & 8 & 8 & "wanted man" & ken girotti & craig o'neill & jason tracey & august 16, 2007 & bn107 & none \\ 8 & 9 & 9 & "hard bargain" & john kretchmer & alfredo barrios, jr & august 23, 2007 & bn108 & 4.08 \\ 9 & 10 & 10 & "false flag" & paul shapiro & matt nix & ben watkins & september 13, 2007 & bn109 & 4 \\ 10 & 11 & 11 & "dead drop" & jeremiah chechik & craig o'neill & jason tracey & september 20, 2007 & bn110 & 4.8 \\ 11 & 12 & 12 & "loose ends" & stephen surjik & matt nix & alfredo barrios, jr & september 20, 2007 & bn111 & 4.8 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & max ( "production code" ) \\ \midrule 0 & bn102 \\ \bottomrule \end{tabular}

select max ( production code ) where directed by = 'david solomon' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>no. in series</th> <th>no. in season</th> <th>title</th> <th>directed by</th> <th>written by</th> <th>original air date</th> <th>production code</th> <th>u.s. viewers (millions)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>1</td> <td>"pilot"</td> <td>jace alexander</td> <td>matt nix</td> <td>june 28, 2007</td> <td>bn100</td> <td>4</td> </tr> <tr> <th>1</th> <td>2</td> <td>2</td> <td>"identity"</td> <td>rod hardy</td> <td>matt nix</td> <td>july 5, 2007</td> <td>bn101</td> <td>4</td> </tr> <tr> <th>2</th> <td>3</td> <td>3</td> <td>"fight or flight"</td> <td>colin bucksey</td> <td>craig o'neill &amp; jason tracey</td> <td>july 12, 2007</td> <td>bn103</td> <td>none</td> </tr> <tr> <th>3</th> <td>4</td> <td>4</td> <td>"old friends"</td> <td>david solomon</td> <td>alfredo barrios, jr</td> <td>july 19, 2007</td> <td>bn102</td> <td>none</td> </tr> <tr> <th>4</th> <td>5</td> <td>5</td> <td>"family business"</td> <td>sandy bookstaver</td> <td>matt nix</td> <td>july 26, 2007</td> <td>bn104</td> <td>none</td> </tr> <tr> <th>5</th> <td>6</td> <td>6</td> <td>"unpaid debts"</td> <td>paul holahan</td> <td>nick thiel</td> <td>august 2, 2007</td> <td>bn105</td> <td>4.41</td> </tr> <tr> <th>6</th> <td>7</td> <td>7</td> <td>"broken rules"</td> <td>tim matheson</td> <td>mere smith</td> <td>august 9, 2007</td> <td>bn106</td> <td>none</td> </tr> <tr> <th>7</th> <td>8</td> <td>8</td> <td>"wanted man"</td> <td>ken girotti</td> <td>craig o'neill &amp; jason tracey</td> <td>august 16, 2007</td> <td>bn107</td> <td>none</td> </tr> <tr> <th>8</th> <td>9</td> <td>9</td> <td>"hard bargain"</td> <td>john kretchmer</td> <td>alfredo barrios, jr</td> <td>august 23, 2007</td> <td>bn108</td> <td>4.08</td> </tr> <tr> <th>9</th> <td>10</td> <td>10</td> <td>"false flag"</td> <td>paul shapiro</td> <td>matt nix &amp; ben watkins</td> <td>september 13, 2007</td> <td>bn109</td> <td>4</td> </tr> <tr> <th>10</th> <td>11</td> <td>11</td> <td>"dead drop"</td> <td>jeremiah chechik</td> <td>craig o'neill &amp; jason tracey</td> <td>september 20, 2007</td> <td>bn110</td> <td>4.8</td> </tr> <tr> <th>11</th> <td>12</td> <td>12</td> <td>"loose ends"</td> <td>stephen surjik</td> <td>matt nix &amp; alfredo barrios, jr</td> <td>september 20, 2007</td> <td>bn111</td> <td>4.8</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>max ( "production code" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>bn102</td> </tr> </tbody> </table>

select max ( production code ) where directed by = 'david solomon' <table_name> : table | | no. in series | no. in season | title | directed by | written by | original air date | production code | u.s. viewers (millions) | |---:|----------------:|----------------:|:------------------|:-----------------|:-------------------------------|:--------------------|:------------------|:--------------------------| | 0 | 1 | 1 | "pilot" | jace alexander | matt nix | june 28, 2007 | bn100 | 4 | | 1 | 2 | 2 | "identity" | rod hardy | matt nix | july 5, 2007 | bn101 | 4 | | 2 | 3 | 3 | "fight or flight" | colin bucksey | craig o'neill & jason tracey | july 12, 2007 | bn103 | none | | 3 | 4 | 4 | "old friends" | david solomon | alfredo barrios, jr | july 19, 2007 | bn102 | none | | 4 | 5 | 5 | "family business" | sandy bookstaver | matt nix | july 26, 2007 | bn104 | none | | 5 | 6 | 6 | "unpaid debts" | paul holahan | nick thiel | august 2, 2007 | bn105 | 4.41 | | 6 | 7 | 7 | "broken rules" | tim matheson | mere smith | august 9, 2007 | bn106 | none | | 7 | 8 | 8 | "wanted man" | ken girotti | craig o'neill & jason tracey | august 16, 2007 | bn107 | none | | 8 | 9 | 9 | "hard bargain" | john kretchmer | alfredo barrios, jr | august 23, 2007 | bn108 | 4.08 | | 9 | 10 | 10 | "false flag" | paul shapiro | matt nix & ben watkins | september 13, 2007 | bn109 | 4 | | 10 | 11 | 11 | "dead drop" | jeremiah chechik | craig o'neill & jason tracey | september 20, 2007 | bn110 | 4.8 | | 11 | 12 | 12 | "loose ends" | stephen surjik | matt nix & alfredo barrios, jr | september 20, 2007 | bn111 | 4.8 |

| | max ( "production code" ) | |---:|:----------------------------| | 0 | bn102 |

select count ( datacenter ) where datacenter = 'unlimited' col : specifications | foundation | essentials | standard | datacenter row 1 : distribution | oem only | retail, volume licensing, oem | retail, volume licensing, oem | volume licensing and oem row 2 : licensing model | per server | per server | per cpu pair + cal | per cpu pair + cal row 3 : processor chip limit | 1 | 2 | 64 | 64 row 4 : memory limit | 32 gb | 64 gb | 4 tb | 4 tb row 5 : user limit | 15 | 25 | unlimited | unlimited row 6 : file services limits | 1 standalone dfs root | 1 standalone dfs root | unlimited | unlimited row 7 : network policy and access services limits | 50 rras connections and 10 ias connections | 250 rras connections, 50 ias connections, and 2 ias server groups | unlimited | unlimited row 8 : remote desktop services limits | 50 remote desktop services connections | gateway only | unlimited | unlimited row 9 : virtualization rights | none | either in 1 vm or 1 physical server, but not both at once | 2 vms | unlimited row 10 : dhcp role | yes | yes | yes | yes row 11 : dns server role | yes | yes | yes | yes row 12 : fax server role | yes | yes | yes | yes row 13 : uddi services | yes | yes | yes | yes row 14 : print and document services | yes | yes | yes | yes row 15 : web services (internet information services) | yes | yes | yes | yes row 16 : windows deployment services | yes | yes | yes | yes row 17 : windows server update services | no | yes | yes | yes row 18 : active directory lightweight directory services | yes | yes | yes | yes row 19 : active directory rights management services | yes | yes | yes | yes row 20 : application server role | yes | yes | yes | yes row 21 : server manager | yes | yes | yes | yes row 22 : windows powershell | yes | yes | yes | yes row 23 : active directory domain services | must be root of forest and domain | must be root of forest and domain | yes | yes row 24 : active directory certificate services | certificate authorities only | certificate authorities only | yes | yes row 25 : active directory federation services | yes | no | yes | yes row 26 : server core mode | no | no | yes | yes row 27 : hyper-v | no | no | yes | yes

col : count ( "datacenter" ) row 1 : 5

select count ( datacenter ) where datacenter = 'unlimited' <table_name> : table \begin{tabular}{llllll} \toprule & specifications & foundation & essentials & standard & datacenter \\ \midrule 0 & distribution & oem only & retail, volume licensing, oem & retail, volume licensing, oem & volume licensing and oem \\ 1 & licensing model & per server & per server & per cpu pair + cal & per cpu pair + cal \\ 2 & processor chip limit & 1 & 2 & 64 & 64 \\ 3 & memory limit & 32 gb & 64 gb & 4 tb & 4 tb \\ 4 & user limit & 15 & 25 & unlimited & unlimited \\ 5 & file services limits & 1 standalone dfs root & 1 standalone dfs root & unlimited & unlimited \\ 6 & network policy and access services limits & 50 rras connections and 10 ias connections & 250 rras connections, 50 ias connections, and 2 ias server groups & unlimited & unlimited \\ 7 & remote desktop services limits & 50 remote desktop services connections & gateway only & unlimited & unlimited \\ 8 & virtualization rights & none & either in 1 vm or 1 physical server, but not both at once & 2 vms & unlimited \\ 9 & dhcp role & yes & yes & yes & yes \\ 10 & dns server role & yes & yes & yes & yes \\ 11 & fax server role & yes & yes & yes & yes \\ 12 & uddi services & yes & yes & yes & yes \\ 13 & print and document services & yes & yes & yes & yes \\ 14 & web services (internet information services) & yes & yes & yes & yes \\ 15 & windows deployment services & yes & yes & yes & yes \\ 16 & windows server update services & no & yes & yes & yes \\ 17 & active directory lightweight directory services & yes & yes & yes & yes \\ 18 & active directory rights management services & yes & yes & yes & yes \\ 19 & application server role & yes & yes & yes & yes \\ 20 & server manager & yes & yes & yes & yes \\ 21 & windows powershell & yes & yes & yes & yes \\ 22 & active directory domain services & must be root of forest and domain & must be root of forest and domain & yes & yes \\ 23 & active directory certificate services & certificate authorities only & certificate authorities only & yes & yes \\ 24 & active directory federation services & yes & no & yes & yes \\ 25 & server core mode & no & no & yes & yes \\ 26 & hyper-v & no & no & yes & yes \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "datacenter" ) \\ \midrule 0 & 5 \\ \bottomrule \end{tabular}

select count ( datacenter ) where datacenter = 'unlimited' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>specifications</th> <th>foundation</th> <th>essentials</th> <th>standard</th> <th>datacenter</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>distribution</td> <td>oem only</td> <td>retail, volume licensing, oem</td> <td>retail, volume licensing, oem</td> <td>volume licensing and oem</td> </tr> <tr> <th>1</th> <td>licensing model</td> <td>per server</td> <td>per server</td> <td>per cpu pair + cal</td> <td>per cpu pair + cal</td> </tr> <tr> <th>2</th> <td>processor chip limit</td> <td>1</td> <td>2</td> <td>64</td> <td>64</td> </tr> <tr> <th>3</th> <td>memory limit</td> <td>32 gb</td> <td>64 gb</td> <td>4 tb</td> <td>4 tb</td> </tr> <tr> <th>4</th> <td>user limit</td> <td>15</td> <td>25</td> <td>unlimited</td> <td>unlimited</td> </tr> <tr> <th>5</th> <td>file services limits</td> <td>1 standalone dfs root</td> <td>1 standalone dfs root</td> <td>unlimited</td> <td>unlimited</td> </tr> <tr> <th>6</th> <td>network policy and access services limits</td> <td>50 rras connections and 10 ias connections</td> <td>250 rras connections, 50 ias connections, and 2 ias server groups</td> <td>unlimited</td> <td>unlimited</td> </tr> <tr> <th>7</th> <td>remote desktop services limits</td> <td>50 remote desktop services connections</td> <td>gateway only</td> <td>unlimited</td> <td>unlimited</td> </tr> <tr> <th>8</th> <td>virtualization rights</td> <td>none</td> <td>either in 1 vm or 1 physical server, but not both at once</td> <td>2 vms</td> <td>unlimited</td> </tr> <tr> <th>9</th> <td>dhcp role</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>10</th> <td>dns server role</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>11</th> <td>fax server role</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>12</th> <td>uddi services</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>13</th> <td>print and document services</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>14</th> <td>web services (internet information services)</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>15</th> <td>windows deployment services</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>16</th> <td>windows server update services</td> <td>no</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>17</th> <td>active directory lightweight directory services</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>18</th> <td>active directory rights management services</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>19</th> <td>application server role</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>20</th> <td>server manager</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>21</th> <td>windows powershell</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>22</th> <td>active directory domain services</td> <td>must be root of forest and domain</td> <td>must be root of forest and domain</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>23</th> <td>active directory certificate services</td> <td>certificate authorities only</td> <td>certificate authorities only</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>24</th> <td>active directory federation services</td> <td>yes</td> <td>no</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>25</th> <td>server core mode</td> <td>no</td> <td>no</td> <td>yes</td> <td>yes</td> </tr> <tr> <th>26</th> <td>hyper-v</td> <td>no</td> <td>no</td> <td>yes</td> <td>yes</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "datacenter" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>5</td> </tr> </tbody> </table>

select count ( datacenter ) where datacenter = 'unlimited' <table_name> : table | | specifications | foundation | essentials | standard | datacenter | |---:|:------------------------------------------------|:-------------------------------------------|:------------------------------------------------------------------|:------------------------------|:-------------------------| | 0 | distribution | oem only | retail, volume licensing, oem | retail, volume licensing, oem | volume licensing and oem | | 1 | licensing model | per server | per server | per cpu pair + cal | per cpu pair + cal | | 2 | processor chip limit | 1 | 2 | 64 | 64 | | 3 | memory limit | 32 gb | 64 gb | 4 tb | 4 tb | | 4 | user limit | 15 | 25 | unlimited | unlimited | | 5 | file services limits | 1 standalone dfs root | 1 standalone dfs root | unlimited | unlimited | | 6 | network policy and access services limits | 50 rras connections and 10 ias connections | 250 rras connections, 50 ias connections, and 2 ias server groups | unlimited | unlimited | | 7 | remote desktop services limits | 50 remote desktop services connections | gateway only | unlimited | unlimited | | 8 | virtualization rights | none | either in 1 vm or 1 physical server, but not both at once | 2 vms | unlimited | | 9 | dhcp role | yes | yes | yes | yes | | 10 | dns server role | yes | yes | yes | yes | | 11 | fax server role | yes | yes | yes | yes | | 12 | uddi services | yes | yes | yes | yes | | 13 | print and document services | yes | yes | yes | yes | | 14 | web services (internet information services) | yes | yes | yes | yes | | 15 | windows deployment services | yes | yes | yes | yes | | 16 | windows server update services | no | yes | yes | yes | | 17 | active directory lightweight directory services | yes | yes | yes | yes | | 18 | active directory rights management services | yes | yes | yes | yes | | 19 | application server role | yes | yes | yes | yes | | 20 | server manager | yes | yes | yes | yes | | 21 | windows powershell | yes | yes | yes | yes | | 22 | active directory domain services | must be root of forest and domain | must be root of forest and domain | yes | yes | | 23 | active directory certificate services | certificate authorities only | certificate authorities only | yes | yes | | 24 | active directory federation services | yes | no | yes | yes | | 25 | server core mode | no | no | yes | yes | | 26 | hyper-v | no | no | yes | yes |

| | count ( "datacenter" ) | |---:|-------------------------:| | 0 | 5 |

select count ( * ) where division = '3a aficio' col : season | tier | division | place row 1 : 2002/03 | 8 | 3a aficio | 1st row 2 : 2003/04 | 6 | 1a aficio | 1st row 3 : 2004/05 | 5 | preferente | 13th row 4 : 2005/06 | 5 | preferente | 4th row 5 : 2006/07 | 5 | preferente | 8th row 6 : 2007/08 | 5 | preferente | 8th row 7 : 2008/09 | 5 | preferente | 3rd row 8 : 2009/10 | 5 | preferente | 2nd row 9 : 2010/11 | 4 | 3a | 6th row 10 : 2011/12 | 4 | 3a | 6th row 11 : 2012/13 | 4 | 3a | 11th

col : count ( "*" ) row 1 : 1

select count ( * ) where division = '3a aficio' <table_name> : table \begin{tabular}{lllll} \toprule & season & tier & division & place \\ \midrule 0 & 2002/03 & 8 & 3a aficio & 1st \\ 1 & 2003/04 & 6 & 1a aficio & 1st \\ 2 & 2004/05 & 5 & preferente & 13th \\ 3 & 2005/06 & 5 & preferente & 4th \\ 4 & 2006/07 & 5 & preferente & 8th \\ 5 & 2007/08 & 5 & preferente & 8th \\ 6 & 2008/09 & 5 & preferente & 3rd \\ 7 & 2009/10 & 5 & preferente & 2nd \\ 8 & 2010/11 & 4 & 3a & 6th \\ 9 & 2011/12 & 4 & 3a & 6th \\ 10 & 2012/13 & 4 & 3a & 11th \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( * ) where division = '3a aficio' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>season</th> <th>tier</th> <th>division</th> <th>place</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2002/03</td> <td>8</td> <td>3a aficio</td> <td>1st</td> </tr> <tr> <th>1</th> <td>2003/04</td> <td>6</td> <td>1a aficio</td> <td>1st</td> </tr> <tr> <th>2</th> <td>2004/05</td> <td>5</td> <td>preferente</td> <td>13th</td> </tr> <tr> <th>3</th> <td>2005/06</td> <td>5</td> <td>preferente</td> <td>4th</td> </tr> <tr> <th>4</th> <td>2006/07</td> <td>5</td> <td>preferente</td> <td>8th</td> </tr> <tr> <th>5</th> <td>2007/08</td> <td>5</td> <td>preferente</td> <td>8th</td> </tr> <tr> <th>6</th> <td>2008/09</td> <td>5</td> <td>preferente</td> <td>3rd</td> </tr> <tr> <th>7</th> <td>2009/10</td> <td>5</td> <td>preferente</td> <td>2nd</td> </tr> <tr> <th>8</th> <td>2010/11</td> <td>4</td> <td>3a</td> <td>6th</td> </tr> <tr> <th>9</th> <td>2011/12</td> <td>4</td> <td>3a</td> <td>6th</td> </tr> <tr> <th>10</th> <td>2012/13</td> <td>4</td> <td>3a</td> <td>11th</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 division = '3a aficio' <table_name> : table | | season | tier | division | place | |---:|:---------|-------:|:-----------|:--------| | 0 | 2002/03 | 8 | 3a aficio | 1st | | 1 | 2003/04 | 6 | 1a aficio | 1st | | 2 | 2004/05 | 5 | preferente | 13th | | 3 | 2005/06 | 5 | preferente | 4th | | 4 | 2006/07 | 5 | preferente | 8th | | 5 | 2007/08 | 5 | preferente | 8th | | 6 | 2008/09 | 5 | preferente | 3rd | | 7 | 2009/10 | 5 | preferente | 2nd | | 8 | 2010/11 | 4 | 3a | 6th | | 9 | 2011/12 | 4 | 3a | 6th | | 10 | 2012/13 | 4 | 3a | 11th |

| | count ( "*" ) | |---:|----------------:| | 0 | 1 |

select province where legal districts < 9 order by legal districts desc limit 1 col : province | capital | population | density | municipalities | legal districts row 1 : almeria | almeria | 702819 | 72.5 /km2 (188 /sq mi) | 102 municipalities | 8 row 2 : cadiz | cadiz | 1243519 | 158.8 /km2 (411 /sq mi) | 44 municipalities | 14 row 3 : cordoba | cordoba | 805857 | 72.4 /km2 (188 /sq mi) | 75 municipalities | 12 row 4 : granada | granada | 924550 | 68.7 /km2 (178 /sq mi) | 169 municipalities | 9 row 5 : huelva | huelva | 521968 | 47.7 /km2 (124 /sq mi) | 79 municipalities | 6 row 6 : jaen | jaen | 670600 | 49.1 /km2 (127 /sq mi) | 97 municipalities | 10 row 7 : malaga | malaga | 1625827 | 204.1 /km2 (529 /sq mi) | 101 municipalities | 11 row 8 : seville | seville | 1928962 | 129.2 /km2 (335 /sq mi) | 105 municipalities | 15

col : province row 1 : almeria row 2 : cadiz row 3 : cordoba row 4 : granada row 5 : huelva row 6 : jaen row 7 : malaga row 8 : seville

select province where legal districts < 9 order by legal districts desc limit 1 <table_name> : table \begin{tabular}{lllllll} \toprule & province & capital & population & density & municipalities & legal districts \\ \midrule 0 & almeria & almeria & 702819 & 72.5 /km2 (188 /sq mi) & 102 municipalities & 8 \\ 1 & cadiz & cadiz & 1243519 & 158.8 /km2 (411 /sq mi) & 44 municipalities & 14 \\ 2 & cordoba & cordoba & 805857 & 72.4 /km2 (188 /sq mi) & 75 municipalities & 12 \\ 3 & granada & granada & 924550 & 68.7 /km2 (178 /sq mi) & 169 municipalities & 9 \\ 4 & huelva & huelva & 521968 & 47.7 /km2 (124 /sq mi) & 79 municipalities & 6 \\ 5 & jaen & jaen & 670600 & 49.1 /km2 (127 /sq mi) & 97 municipalities & 10 \\ 6 & malaga & malaga & 1625827 & 204.1 /km2 (529 /sq mi) & 101 municipalities & 11 \\ 7 & seville & seville & 1928962 & 129.2 /km2 (335 /sq mi) & 105 municipalities & 15 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & province \\ \midrule 0 & almeria \\ 1 & cadiz \\ 2 & cordoba \\ 3 & granada \\ 4 & huelva \\ 5 & jaen \\ 6 & malaga \\ 7 & seville \\ \bottomrule \end{tabular}

select province where legal districts < 9 order by legal districts desc limit 1 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>province</th> <th>capital</th> <th>population</th> <th>density</th> <th>municipalities</th> <th>legal districts</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>almeria</td> <td>almeria</td> <td>702819</td> <td>72.5 /km2 (188 /sq mi)</td> <td>102 municipalities</td> <td>8</td> </tr> <tr> <th>1</th> <td>cadiz</td> <td>cadiz</td> <td>1243519</td> <td>158.8 /km2 (411 /sq mi)</td> <td>44 municipalities</td> <td>14</td> </tr> <tr> <th>2</th> <td>cordoba</td> <td>cordoba</td> <td>805857</td> <td>72.4 /km2 (188 /sq mi)</td> <td>75 municipalities</td> <td>12</td> </tr> <tr> <th>3</th> <td>granada</td> <td>granada</td> <td>924550</td> <td>68.7 /km2 (178 /sq mi)</td> <td>169 municipalities</td> <td>9</td> </tr> <tr> <th>4</th> <td>huelva</td> <td>huelva</td> <td>521968</td> <td>47.7 /km2 (124 /sq mi)</td> <td>79 municipalities</td> <td>6</td> </tr> <tr> <th>5</th> <td>jaen</td> <td>jaen</td> <td>670600</td> <td>49.1 /km2 (127 /sq mi)</td> <td>97 municipalities</td> <td>10</td> </tr> <tr> <th>6</th> <td>malaga</td> <td>malaga</td> <td>1625827</td> <td>204.1 /km2 (529 /sq mi)</td> <td>101 municipalities</td> <td>11</td> </tr> <tr> <th>7</th> <td>seville</td> <td>seville</td> <td>1928962</td> <td>129.2 /km2 (335 /sq mi)</td> <td>105 municipalities</td> <td>15</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>province</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>almeria</td> </tr> <tr> <th>1</th> <td>cadiz</td> </tr> <tr> <th>2</th> <td>cordoba</td> </tr> <tr> <th>3</th> <td>granada</td> </tr> <tr> <th>4</th> <td>huelva</td> </tr> <tr> <th>5</th> <td>jaen</td> </tr> <tr> <th>6</th> <td>malaga</td> </tr> <tr> <th>7</th> <td>seville</td> </tr> </tbody> </table>

select province where legal districts < 9 order by legal districts desc limit 1 <table_name> : table | | province | capital | population | density | municipalities | legal districts | |---:|:-----------|:----------|-------------:|:------------------------|:-------------------|------------------:| | 0 | almeria | almeria | 702819 | 72.5 /km2 (188 /sq mi) | 102 municipalities | 8 | | 1 | cadiz | cadiz | 1243519 | 158.8 /km2 (411 /sq mi) | 44 municipalities | 14 | | 2 | cordoba | cordoba | 805857 | 72.4 /km2 (188 /sq mi) | 75 municipalities | 12 | | 3 | granada | granada | 924550 | 68.7 /km2 (178 /sq mi) | 169 municipalities | 9 | | 4 | huelva | huelva | 521968 | 47.7 /km2 (124 /sq mi) | 79 municipalities | 6 | | 5 | jaen | jaen | 670600 | 49.1 /km2 (127 /sq mi) | 97 municipalities | 10 | | 6 | malaga | malaga | 1625827 | 204.1 /km2 (529 /sq mi) | 101 municipalities | 11 | | 7 | seville | seville | 1928962 | 129.2 /km2 (335 /sq mi) | 105 municipalities | 15 |

| | province | |---:|:-----------| | 0 | almeria | | 1 | cadiz | | 2 | cordoba | | 3 | granada | | 4 | huelva | | 5 | jaen | | 6 | malaga | | 7 | seville |

select count ( location ) where iteration = '10th' col : iteration | year | dates | location | theme row 1 : 1st | 1972 | 6 may-20 may | suva, fiji | "preserving culture" row 2 : 2nd | 1976 | 6 march-13 march | rotorua, new zealand | "sharing culture" row 3 : 3rd | 1980 | 30 june-12 july | port moresby, papua new guinea | "pacific awareness" row 4 : 4th | 1985 | 29 june-15 july | tahiti, french polynesia | "my pacific" row 5 : 5th | 1988 | 14 august-24 august | townsville, australia | "cultural interchange" row 6 : 6th | 1992 | 16 october-27 october | rarotonga, cook islands | "seafaring heritage" row 7 : 7th | 1996 | 8 september-23 september | apia, samoa | "unveiling treasures" row 8 : 8th | 2000 | 23 october-3 november | noumea, new caledonia | "words of past, present, future" row 9 : 9th | 2004 | 22 july-31 july | koror, palau | "nurture, regenerate, celebrate" row 10 : 10th | 2008 | 20 july-2 august | pago pago, american samoa | "threading the oceania 'ula" row 11 : 11th | 2012 | 1-14 july | honiara, solomon islands | "culture in harmony with nature" row 12 : 12th | 2016 | none | tumon, guam | "tba" row 13 : 13th | 2020 | none | tba, hawaii | "tba"

col : count ( "location" ) row 1 : 1

select count ( location ) where iteration = '10th' <table_name> : table \begin{tabular}{llllll} \toprule & iteration & year & dates & location & theme \\ \midrule 0 & 1st & 1972 & 6 may-20 may & suva, fiji & "preserving culture" \\ 1 & 2nd & 1976 & 6 march-13 march & rotorua, new zealand & "sharing culture" \\ 2 & 3rd & 1980 & 30 june-12 july & port moresby, papua new guinea & "pacific awareness" \\ 3 & 4th & 1985 & 29 june-15 july & tahiti, french polynesia & "my pacific" \\ 4 & 5th & 1988 & 14 august-24 august & townsville, australia & "cultural interchange" \\ 5 & 6th & 1992 & 16 october-27 october & rarotonga, cook islands & "seafaring heritage" \\ 6 & 7th & 1996 & 8 september-23 september & apia, samoa & "unveiling treasures" \\ 7 & 8th & 2000 & 23 october-3 november & noumea, new caledonia & "words of past, present, future" \\ 8 & 9th & 2004 & 22 july-31 july & koror, palau & "nurture, regenerate, celebrate" \\ 9 & 10th & 2008 & 20 july-2 august & pago pago, american samoa & "threading the oceania 'ula" \\ 10 & 11th & 2012 & 1-14 july & honiara, solomon islands & "culture in harmony with nature" \\ 11 & 12th & 2016 & none & tumon, guam & "tba" \\ 12 & 13th & 2020 & none & tba, hawaii & "tba" \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "location" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( location ) where iteration = '10th' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>iteration</th> <th>year</th> <th>dates</th> <th>location</th> <th>theme</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1st</td> <td>1972</td> <td>6 may-20 may</td> <td>suva, fiji</td> <td>"preserving culture"</td> </tr> <tr> <th>1</th> <td>2nd</td> <td>1976</td> <td>6 march-13 march</td> <td>rotorua, new zealand</td> <td>"sharing culture"</td> </tr> <tr> <th>2</th> <td>3rd</td> <td>1980</td> <td>30 june-12 july</td> <td>port moresby, papua new guinea</td> <td>"pacific awareness"</td> </tr> <tr> <th>3</th> <td>4th</td> <td>1985</td> <td>29 june-15 july</td> <td>tahiti, french polynesia</td> <td>"my pacific"</td> </tr> <tr> <th>4</th> <td>5th</td> <td>1988</td> <td>14 august-24 august</td> <td>townsville, australia</td> <td>"cultural interchange"</td> </tr> <tr> <th>5</th> <td>6th</td> <td>1992</td> <td>16 october-27 october</td> <td>rarotonga, cook islands</td> <td>"seafaring heritage"</td> </tr> <tr> <th>6</th> <td>7th</td> <td>1996</td> <td>8 september-23 september</td> <td>apia, samoa</td> <td>"unveiling treasures"</td> </tr> <tr> <th>7</th> <td>8th</td> <td>2000</td> <td>23 october-3 november</td> <td>noumea, new caledonia</td> <td>"words of past, present, future"</td> </tr> <tr> <th>8</th> <td>9th</td> <td>2004</td> <td>22 july-31 july</td> <td>koror, palau</td> <td>"nurture, regenerate, celebrate"</td> </tr> <tr> <th>9</th> <td>10th</td> <td>2008</td> <td>20 july-2 august</td> <td>pago pago, american samoa</td> <td>"threading the oceania 'ula"</td> </tr> <tr> <th>10</th> <td>11th</td> <td>2012</td> <td>1-14 july</td> <td>honiara, solomon islands</td> <td>"culture in harmony with nature"</td> </tr> <tr> <th>11</th> <td>12th</td> <td>2016</td> <td>none</td> <td>tumon, guam</td> <td>"tba"</td> </tr> <tr> <th>12</th> <td>13th</td> <td>2020</td> <td>none</td> <td>tba, hawaii</td> <td>"tba"</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "location" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( location ) where iteration = '10th' <table_name> : table | | iteration | year | dates | location | theme | |---:|:------------|-------:|:-------------------------|:-------------------------------|:---------------------------------| | 0 | 1st | 1972 | 6 may-20 may | suva, fiji | "preserving culture" | | 1 | 2nd | 1976 | 6 march-13 march | rotorua, new zealand | "sharing culture" | | 2 | 3rd | 1980 | 30 june-12 july | port moresby, papua new guinea | "pacific awareness" | | 3 | 4th | 1985 | 29 june-15 july | tahiti, french polynesia | "my pacific" | | 4 | 5th | 1988 | 14 august-24 august | townsville, australia | "cultural interchange" | | 5 | 6th | 1992 | 16 october-27 october | rarotonga, cook islands | "seafaring heritage" | | 6 | 7th | 1996 | 8 september-23 september | apia, samoa | "unveiling treasures" | | 7 | 8th | 2000 | 23 october-3 november | noumea, new caledonia | "words of past, present, future" | | 8 | 9th | 2004 | 22 july-31 july | koror, palau | "nurture, regenerate, celebrate" | | 9 | 10th | 2008 | 20 july-2 august | pago pago, american samoa | "threading the oceania 'ula" | | 10 | 11th | 2012 | 1-14 july | honiara, solomon islands | "culture in harmony with nature" | | 11 | 12th | 2016 | none | tumon, guam | "tba" | | 12 | 13th | 2020 | none | tba, hawaii | "tba" |

| | count ( "location" ) | |---:|-----------------------:| | 0 | 1 |

select min ( year ) where year > 1981 col : year | competition | venue | position | event | notes row 1 : 1975 | asian championships | seoul, south korea | 1st | 5,000m | 14:00.8 row 2 : 1979 | asian championships | tokyo, japan | 2nd | 10,000m | 29:00.2 row 3 : 1981 | asian championships | tokyo, japan | 1st | 10,000m | 28:53.3 row 4 : 1981 | fukuoka marathon | fukuoka, japan | 2nd | marathon | 2:09:37 row 5 : 1982 | fukuoka marathon | fukuoka, japan | 4th | marathon | 2:11:45 row 6 : 1983 | world championships | helsinki, finland | 28th | 10,000m | 29:49.0

col : min ( "year" ) row 1 : 1982

select min ( year ) where year > 1981 <table_name> : table \begin{tabular}{lllllll} \toprule & year & competition & venue & position & event & notes \\ \midrule 0 & 1975 & asian championships & seoul, south korea & 1st & 5,000m & 14:00.8 \\ 1 & 1979 & asian championships & tokyo, japan & 2nd & 10,000m & 29:00.2 \\ 2 & 1981 & asian championships & tokyo, japan & 1st & 10,000m & 28:53.3 \\ 3 & 1981 & fukuoka marathon & fukuoka, japan & 2nd & marathon & 2:09:37 \\ 4 & 1982 & fukuoka marathon & fukuoka, japan & 4th & marathon & 2:11:45 \\ 5 & 1983 & world championships & helsinki, finland & 28th & 10,000m & 29:49.0 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & min ( "year" ) \\ \midrule 0 & 1982 \\ \bottomrule \end{tabular}

select min ( year ) where year > 1981 <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>1975</td> <td>asian championships</td> <td>seoul, south korea</td> <td>1st</td> <td>5,000m</td> <td>14:00.8</td> </tr> <tr> <th>1</th> <td>1979</td> <td>asian championships</td> <td>tokyo, japan</td> <td>2nd</td> <td>10,000m</td> <td>29:00.2</td> </tr> <tr> <th>2</th> <td>1981</td> <td>asian championships</td> <td>tokyo, japan</td> <td>1st</td> <td>10,000m</td> <td>28:53.3</td> </tr> <tr> <th>3</th> <td>1981</td> <td>fukuoka marathon</td> <td>fukuoka, japan</td> <td>2nd</td> <td>marathon</td> <td>2:09:37</td> </tr> <tr> <th>4</th> <td>1982</td> <td>fukuoka marathon</td> <td>fukuoka, japan</td> <td>4th</td> <td>marathon</td> <td>2:11:45</td> </tr> <tr> <th>5</th> <td>1983</td> <td>world championships</td> <td>helsinki, finland</td> <td>28th</td> <td>10,000m</td> <td>29:49.0</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>min ( "year" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1982</td> </tr> </tbody> </table>

select min ( year ) where year > 1981 <table_name> : table | | year | competition | venue | position | event | notes | |---:|-------:|:--------------------|:-------------------|:-----------|:---------|:--------| | 0 | 1975 | asian championships | seoul, south korea | 1st | 5,000m | 14:00.8 | | 1 | 1979 | asian championships | tokyo, japan | 2nd | 10,000m | 29:00.2 | | 2 | 1981 | asian championships | tokyo, japan | 1st | 10,000m | 28:53.3 | | 3 | 1981 | fukuoka marathon | fukuoka, japan | 2nd | marathon | 2:09:37 | | 4 | 1982 | fukuoka marathon | fukuoka, japan | 4th | marathon | 2:11:45 | | 5 | 1983 | world championships | helsinki, finland | 28th | 10,000m | 29:49.0 |

| | min ( "year" ) | |---:|-----------------:| | 0 | 1982 |

select count ( * ) where act = 'the hitmen' col : act | year signed | # albums released under bad boy row 1 : diddy | 1993 | 6 row 2 : the notorious b.i.g | 1993 | 5 row 3 : harve pierre | 1993 | none row 4 : the hitmen | 1993 | none row 5 : mario winans | 1995 | 1 row 6 : kalenna harper | 2004 | none row 7 : cassie | 2006 | 1 row 8 : janelle monae | 2007 | 2 row 9 : red cafe | 2009 | none row 10 : machine gun kelly | 2011 | 1 row 11 : french montana | 2012 | 1 row 12 : megan nicole | 2012 | none

col : count ( "*" ) row 1 : 1

select count ( * ) where act = 'the hitmen' <table_name> : table \begin{tabular}{llll} \toprule & act & year signed & # albums released under bad boy \\ \midrule 0 & diddy & 1993 & 6 \\ 1 & the notorious b.i.g & 1993 & 5 \\ 2 & harve pierre & 1993 & none \\ 3 & the hitmen & 1993 & none \\ 4 & mario winans & 1995 & 1 \\ 5 & kalenna harper & 2004 & none \\ 6 & cassie & 2006 & 1 \\ 7 & janelle monae & 2007 & 2 \\ 8 & red cafe & 2009 & none \\ 9 & machine gun kelly & 2011 & 1 \\ 10 & french montana & 2012 & 1 \\ 11 & megan nicole & 2012 & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( * ) where act = 'the hitmen' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>act</th> <th>year signed</th> <th># albums released under bad boy</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>diddy</td> <td>1993</td> <td>6</td> </tr> <tr> <th>1</th> <td>the notorious b.i.g</td> <td>1993</td> <td>5</td> </tr> <tr> <th>2</th> <td>harve pierre</td> <td>1993</td> <td>none</td> </tr> <tr> <th>3</th> <td>the hitmen</td> <td>1993</td> <td>none</td> </tr> <tr> <th>4</th> <td>mario winans</td> <td>1995</td> <td>1</td> </tr> <tr> <th>5</th> <td>kalenna harper</td> <td>2004</td> <td>none</td> </tr> <tr> <th>6</th> <td>cassie</td> <td>2006</td> <td>1</td> </tr> <tr> <th>7</th> <td>janelle monae</td> <td>2007</td> <td>2</td> </tr> <tr> <th>8</th> <td>red cafe</td> <td>2009</td> <td>none</td> </tr> <tr> <th>9</th> <td>machine gun kelly</td> <td>2011</td> <td>1</td> </tr> <tr> <th>10</th> <td>french montana</td> <td>2012</td> <td>1</td> </tr> <tr> <th>11</th> <td>megan nicole</td> <td>2012</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 act = 'the hitmen' <table_name> : table | | act | year signed | # albums released under bad boy | |---:|:--------------------|--------------:|:----------------------------------| | 0 | diddy | 1993 | 6 | | 1 | the notorious b.i.g | 1993 | 5 | | 2 | harve pierre | 1993 | none | | 3 | the hitmen | 1993 | none | | 4 | mario winans | 1995 | 1 | | 5 | kalenna harper | 2004 | none | | 6 | cassie | 2006 | 1 | | 7 | janelle monae | 2007 | 2 | | 8 | red cafe | 2009 | none | | 9 | machine gun kelly | 2011 | 1 | | 10 | french montana | 2012 | 1 | | 11 | megan nicole | 2012 | none |

| | count ( "*" ) | |---:|----------------:| | 0 | 1 |

select nation where silver = 0 col : rank | nation | gold | silver | bronze | total row 1 : 1 | algeria | 8 | 3 | 0 | 11 row 2 : 2 | tunisia | 4 | 3 | 5 | 12 row 3 : 3 | egypt | 3 | 3 | 3 | 9 row 4 : 4 | cameroon | 1 | 1 | 5 | 7 row 5 : 5 | morocco | 0 | 1 | 5 | 5 row 6 : 6 | south africa | 0 | 1 | 1 | 2 row 7 : 7 | angola | 0 | 1 | 0 | 1 row 8 : 7 | burkina faso | 0 | 1 | 0 | 1 row 9 : 7 | gabon | 0 | 1 | 0 | 1 row 10 : 7 | madagascar | 0 | 1 | 0 | 1 row 11 : 11 | nigeria | 0 | 0 | 3 | 3 row 12 : 12 | senegal | 0 | 0 | 2 | 2 row 13 : 13 | congo republic | 0 | 0 | 1 | 1 row 14 : 13 | ivory coast | 0 | 0 | 1 | 1 row 15 : 13 | guinea | 0 | 0 | 1 | 1 row 16 : 13 | niger | 0 | 0 | 1 | 1

col : nation row 1 : nigeria row 2 : senegal row 3 : congo republic row 4 : ivory coast row 5 : guinea row 6 : niger

select nation where silver = 0 <table_name> : table \begin{tabular}{lllllll} \toprule & rank & nation & gold & silver & bronze & total \\ \midrule 0 & 1 & algeria & 8 & 3 & 0 & 11 \\ 1 & 2 & tunisia & 4 & 3 & 5 & 12 \\ 2 & 3 & egypt & 3 & 3 & 3 & 9 \\ 3 & 4 & cameroon & 1 & 1 & 5 & 7 \\ 4 & 5 & morocco & 0 & 1 & 5 & 5 \\ 5 & 6 & south africa & 0 & 1 & 1 & 2 \\ 6 & 7 & angola & 0 & 1 & 0 & 1 \\ 7 & 7 & burkina faso & 0 & 1 & 0 & 1 \\ 8 & 7 & gabon & 0 & 1 & 0 & 1 \\ 9 & 7 & madagascar & 0 & 1 & 0 & 1 \\ 10 & 11 & nigeria & 0 & 0 & 3 & 3 \\ 11 & 12 & senegal & 0 & 0 & 2 & 2 \\ 12 & 13 & congo republic & 0 & 0 & 1 & 1 \\ 13 & 13 & ivory coast & 0 & 0 & 1 & 1 \\ 14 & 13 & guinea & 0 & 0 & 1 & 1 \\ 15 & 13 & niger & 0 & 0 & 1 & 1 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & nation \\ \midrule 0 & nigeria \\ 1 & senegal \\ 2 & congo republic \\ 3 & ivory coast \\ 4 & guinea \\ 5 & niger \\ \bottomrule \end{tabular}

select nation 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>algeria</td> <td>8</td> <td>3</td> <td>0</td> <td>11</td> </tr> <tr> <th>1</th> <td>2</td> <td>tunisia</td> <td>4</td> <td>3</td> <td>5</td> <td>12</td> </tr> <tr> <th>2</th> <td>3</td> <td>egypt</td> <td>3</td> <td>3</td> <td>3</td> <td>9</td> </tr> <tr> <th>3</th> <td>4</td> <td>cameroon</td> <td>1</td> <td>1</td> <td>5</td> <td>7</td> </tr> <tr> <th>4</th> <td>5</td> <td>morocco</td> <td>0</td> <td>1</td> <td>5</td> <td>5</td> </tr> <tr> <th>5</th> <td>6</td> <td>south africa</td> <td>0</td> <td>1</td> <td>1</td> <td>2</td> </tr> <tr> <th>6</th> <td>7</td> <td>angola</td> <td>0</td> <td>1</td> <td>0</td> <td>1</td> </tr> <tr> <th>7</th> <td>7</td> <td>burkina faso</td> <td>0</td> <td>1</td> <td>0</td> <td>1</td> </tr> <tr> <th>8</th> <td>7</td> <td>gabon</td> <td>0</td> <td>1</td> <td>0</td> <td>1</td> </tr> <tr> <th>9</th> <td>7</td> <td>madagascar</td> <td>0</td> <td>1</td> <td>0</td> <td>1</td> </tr> <tr> <th>10</th> <td>11</td> <td>nigeria</td> <td>0</td> <td>0</td> <td>3</td> <td>3</td> </tr> <tr> <th>11</th> <td>12</td> <td>senegal</td> <td>0</td> <td>0</td> <td>2</td> <td>2</td> </tr> <tr> <th>12</th> <td>13</td> <td>congo republic</td> <td>0</td> <td>0</td> <td>1</td> <td>1</td> </tr> <tr> <th>13</th> <td>13</td> <td>ivory coast</td> <td>0</td> <td>0</td> <td>1</td> <td>1</td> </tr> <tr> <th>14</th> <td>13</td> <td>guinea</td> <td>0</td> <td>0</td> <td>1</td> <td>1</td> </tr> <tr> <th>15</th> <td>13</td> <td>niger</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>nigeria</td> </tr> <tr> <th>1</th> <td>senegal</td> </tr> <tr> <th>2</th> <td>congo republic</td> </tr> <tr> <th>3</th> <td>ivory coast</td> </tr> <tr> <th>4</th> <td>guinea</td> </tr> <tr> <th>5</th> <td>niger</td> </tr> </tbody> </table>

select nation where silver = 0 <table_name> : table | | rank | nation | gold | silver | bronze | total | |---:|-------:|:---------------|-------:|---------:|---------:|--------:| | 0 | 1 | algeria | 8 | 3 | 0 | 11 | | 1 | 2 | tunisia | 4 | 3 | 5 | 12 | | 2 | 3 | egypt | 3 | 3 | 3 | 9 | | 3 | 4 | cameroon | 1 | 1 | 5 | 7 | | 4 | 5 | morocco | 0 | 1 | 5 | 5 | | 5 | 6 | south africa | 0 | 1 | 1 | 2 | | 6 | 7 | angola | 0 | 1 | 0 | 1 | | 7 | 7 | burkina faso | 0 | 1 | 0 | 1 | | 8 | 7 | gabon | 0 | 1 | 0 | 1 | | 9 | 7 | madagascar | 0 | 1 | 0 | 1 | | 10 | 11 | nigeria | 0 | 0 | 3 | 3 | | 11 | 12 | senegal | 0 | 0 | 2 | 2 | | 12 | 13 | congo republic | 0 | 0 | 1 | 1 | | 13 | 13 | ivory coast | 0 | 0 | 1 | 1 | | 14 | 13 | guinea | 0 | 0 | 1 | 1 | | 15 | 13 | niger | 0 | 0 | 1 | 1 |

| | nation | |---:|:---------------| | 0 | nigeria | | 1 | senegal | | 2 | congo republic | | 3 | ivory coast | | 4 | guinea | | 5 | niger |

select year where position = '2nd' col : year | competition | venue | position | event | notes row 1 : 2001 | world youth championships | debrecen, hungary | 4th | 400 m | none row 2 : 2002 | asian games | busan, south korea | 2nd | 4x400 m relay | none row 3 : 2005 | asian championships | incheon, south korea | 2nd | 4x400 m relay | none row 4 : 2005 | universiade | izmir, turkey | 6th | 4x400 m relay | none row 5 : 2006 | asian games | doha, qatar | 2nd | 4x400 m relay | none row 6 : 2006 | asian games | doha, qatar | 1st | 400 m | none row 7 : 2006 | world cup | athens, greece | 7th | 400 m | none row 8 : 2007 | universiade | bangkok, thailand | 1st | 400 m | none row 9 : 2011 | universiade | shenzhen, china | none | 400 m | dq

col : year row 1 : 2002 row 2 : 2005 row 3 : 2006

select year where position = '2nd' <table_name> : table \begin{tabular}{lllllll} \toprule & year & competition & venue & position & event & notes \\ \midrule 0 & 2001 & world youth championships & debrecen, hungary & 4th & 400 m & none \\ 1 & 2002 & asian games & busan, south korea & 2nd & 4x400 m relay & none \\ 2 & 2005 & asian championships & incheon, south korea & 2nd & 4x400 m relay & none \\ 3 & 2005 & universiade & izmir, turkey & 6th & 4x400 m relay & none \\ 4 & 2006 & asian games & doha, qatar & 2nd & 4x400 m relay & none \\ 5 & 2006 & asian games & doha, qatar & 1st & 400 m & none \\ 6 & 2006 & world cup & athens, greece & 7th & 400 m & none \\ 7 & 2007 & universiade & bangkok, thailand & 1st & 400 m & none \\ 8 & 2011 & universiade & shenzhen, china & none & 400 m & dq \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & year \\ \midrule 0 & 2002 \\ 1 & 2005 \\ 2 & 2006 \\ \bottomrule \end{tabular}

select year where position = '2nd' <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>4th</td> <td>400 m</td> <td>none</td> </tr> <tr> <th>1</th> <td>2002</td> <td>asian games</td> <td>busan, south korea</td> <td>2nd</td> <td>4x400 m relay</td> <td>none</td> </tr> <tr> <th>2</th> <td>2005</td> <td>asian championships</td> <td>incheon, south korea</td> <td>2nd</td> <td>4x400 m relay</td> <td>none</td> </tr> <tr> <th>3</th> <td>2005</td> <td>universiade</td> <td>izmir, turkey</td> <td>6th</td> <td>4x400 m relay</td> <td>none</td> </tr> <tr> <th>4</th> <td>2006</td> <td>asian games</td> <td>doha, qatar</td> <td>2nd</td> <td>4x400 m relay</td> <td>none</td> </tr> <tr> <th>5</th> <td>2006</td> <td>asian games</td> <td>doha, qatar</td> <td>1st</td> <td>400 m</td> <td>none</td> </tr> <tr> <th>6</th> <td>2006</td> <td>world cup</td> <td>athens, greece</td> <td>7th</td> <td>400 m</td> <td>none</td> </tr> <tr> <th>7</th> <td>2007</td> <td>universiade</td> <td>bangkok, thailand</td> <td>1st</td> <td>400 m</td> <td>none</td> </tr> <tr> <th>8</th> <td>2011</td> <td>universiade</td> <td>shenzhen, china</td> <td>none</td> <td>400 m</td> <td>dq</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2002</td> </tr> <tr> <th>1</th> <td>2005</td> </tr> <tr> <th>2</th> <td>2006</td> </tr> </tbody> </table>

select year where position = '2nd' <table_name> : table | | year | competition | venue | position | event | notes | |---:|-------:|:--------------------------|:---------------------|:-----------|:--------------|:--------| | 0 | 2001 | world youth championships | debrecen, hungary | 4th | 400 m | none | | 1 | 2002 | asian games | busan, south korea | 2nd | 4x400 m relay | none | | 2 | 2005 | asian championships | incheon, south korea | 2nd | 4x400 m relay | none | | 3 | 2005 | universiade | izmir, turkey | 6th | 4x400 m relay | none | | 4 | 2006 | asian games | doha, qatar | 2nd | 4x400 m relay | none | | 5 | 2006 | asian games | doha, qatar | 1st | 400 m | none | | 6 | 2006 | world cup | athens, greece | 7th | 400 m | none | | 7 | 2007 | universiade | bangkok, thailand | 1st | 400 m | none | | 8 | 2011 | universiade | shenzhen, china | none | 400 m | dq |

| | year | |---:|-------:| | 0 | 2002 | | 1 | 2005 | | 2 | 2006 |

select score where player = 'gautam gambhir' 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 : score row 1 : 150

select score where player = 'gautam gambhir' <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 & score \\ \midrule 0 & 150 \\ \bottomrule \end{tabular}

select score where player = 'gautam gambhir' <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>score</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>150</td> </tr> </tbody> </table>

select score where player = 'gautam gambhir' <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 |

| | score | |---:|--------:| | 0 | 150 |

select count ( rank ) where year = 2013 col : year | wins (majors) | earnings ($) | rank row 1 : 1985 | 0 | 0 | none row 2 : 1986 | 0 | 113245 | 77 row 3 : 1987 | 1 | 297378 | 33 row 4 : 1988 | 0 | 156068 | 75 row 5 : 1989 | 0 | 278760 | 44 row 6 : 1990 | 1 | 537172 | 20 row 7 : 1991 | 1 | 686361 | 8 row 8 : 1992 | 3 | 1191630 | 2 row 9 : 1993 | 2 | 777059 | 12 row 10 : 1994 | 0 | 474219 | 33 row 11 : 1995 | 1 | 1111999 | 6 row 12 : 1996 | 1 | 1211139 | 7 row 13 : 1997 | 2 (1) | 1635953 | 3 row 14 : 1998 | 1 | 1541152 | 11 row 15 : 1999 | 0 | 2475328 | 3 row 16 : 2000 | 0 | 2337765 | 9 row 17 : 2001 | 1 | 3169463 | 5 row 18 : 2002 | 0 | 2056160 | 21 row 19 : 2003 | 4 | 6081896 | 3 row 20 : 2004 | 0 | 3075092 | 10 row 21 : 2005 | 0 | 2658779 | 13 row 22 : 2006 | 1 | 2747206 | 16 row 23 : 2007 | 0 | 1016489 | 96 row 24 : 2008 | 1 | 1695237 | 48 row 25 : 2009 | 0 | 1622401 | 52 row 26 : 2010 | 0 | 1214472 | 73 row 27 : 2011 | 0 | 1056300 | 88 row 28 : 2012 | 0 | 989753 | 100 row 29 : 2013 | 0 | 303470 | 165 row 30 : career | 20 (1) | 42511946 | 6

col : count ( "rank" ) row 1 : 1

select count ( rank ) where year = 2013 <table_name> : table \begin{tabular}{lllll} \toprule & year & wins (majors) & earnings ($) & rank \\ \midrule 0 & 1985 & 0 & 0 & none \\ 1 & 1986 & 0 & 113245 & 77 \\ 2 & 1987 & 1 & 297378 & 33 \\ 3 & 1988 & 0 & 156068 & 75 \\ 4 & 1989 & 0 & 278760 & 44 \\ 5 & 1990 & 1 & 537172 & 20 \\ 6 & 1991 & 1 & 686361 & 8 \\ 7 & 1992 & 3 & 1191630 & 2 \\ 8 & 1993 & 2 & 777059 & 12 \\ 9 & 1994 & 0 & 474219 & 33 \\ 10 & 1995 & 1 & 1111999 & 6 \\ 11 & 1996 & 1 & 1211139 & 7 \\ 12 & 1997 & 2 (1) & 1635953 & 3 \\ 13 & 1998 & 1 & 1541152 & 11 \\ 14 & 1999 & 0 & 2475328 & 3 \\ 15 & 2000 & 0 & 2337765 & 9 \\ 16 & 2001 & 1 & 3169463 & 5 \\ 17 & 2002 & 0 & 2056160 & 21 \\ 18 & 2003 & 4 & 6081896 & 3 \\ 19 & 2004 & 0 & 3075092 & 10 \\ 20 & 2005 & 0 & 2658779 & 13 \\ 21 & 2006 & 1 & 2747206 & 16 \\ 22 & 2007 & 0 & 1016489 & 96 \\ 23 & 2008 & 1 & 1695237 & 48 \\ 24 & 2009 & 0 & 1622401 & 52 \\ 25 & 2010 & 0 & 1214472 & 73 \\ 26 & 2011 & 0 & 1056300 & 88 \\ 27 & 2012 & 0 & 989753 & 100 \\ 28 & 2013 & 0 & 303470 & 165 \\ 29 & career & 20 (1) & 42511946 & 6 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "rank" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( rank ) where year = 2013 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>wins (majors)</th> <th>earnings ($)</th> <th>rank</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1985</td> <td>0</td> <td>0</td> <td>none</td> </tr> <tr> <th>1</th> <td>1986</td> <td>0</td> <td>113245</td> <td>77</td> </tr> <tr> <th>2</th> <td>1987</td> <td>1</td> <td>297378</td> <td>33</td> </tr> <tr> <th>3</th> <td>1988</td> <td>0</td> <td>156068</td> <td>75</td> </tr> <tr> <th>4</th> <td>1989</td> <td>0</td> <td>278760</td> <td>44</td> </tr> <tr> <th>5</th> <td>1990</td> <td>1</td> <td>537172</td> <td>20</td> </tr> <tr> <th>6</th> <td>1991</td> <td>1</td> <td>686361</td> <td>8</td> </tr> <tr> <th>7</th> <td>1992</td> <td>3</td> <td>1191630</td> <td>2</td> </tr> <tr> <th>8</th> <td>1993</td> <td>2</td> <td>777059</td> <td>12</td> </tr> <tr> <th>9</th> <td>1994</td> <td>0</td> <td>474219</td> <td>33</td> </tr> <tr> <th>10</th> <td>1995</td> <td>1</td> <td>1111999</td> <td>6</td> </tr> <tr> <th>11</th> <td>1996</td> <td>1</td> <td>1211139</td> <td>7</td> </tr> <tr> <th>12</th> <td>1997</td> <td>2 (1)</td> <td>1635953</td> <td>3</td> </tr> <tr> <th>13</th> <td>1998</td> <td>1</td> <td>1541152</td> <td>11</td> </tr> <tr> <th>14</th> <td>1999</td> <td>0</td> <td>2475328</td> <td>3</td> </tr> <tr> <th>15</th> <td>2000</td> <td>0</td> <td>2337765</td> <td>9</td> </tr> <tr> <th>16</th> <td>2001</td> <td>1</td> <td>3169463</td> <td>5</td> </tr> <tr> <th>17</th> <td>2002</td> <td>0</td> <td>2056160</td> <td>21</td> </tr> <tr> <th>18</th> <td>2003</td> <td>4</td> <td>6081896</td> <td>3</td> </tr> <tr> <th>19</th> <td>2004</td> <td>0</td> <td>3075092</td> <td>10</td> </tr> <tr> <th>20</th> <td>2005</td> <td>0</td> <td>2658779</td> <td>13</td> </tr> <tr> <th>21</th> <td>2006</td> <td>1</td> <td>2747206</td> <td>16</td> </tr> <tr> <th>22</th> <td>2007</td> <td>0</td> <td>1016489</td> <td>96</td> </tr> <tr> <th>23</th> <td>2008</td> <td>1</td> <td>1695237</td> <td>48</td> </tr> <tr> <th>24</th> <td>2009</td> <td>0</td> <td>1622401</td> <td>52</td> </tr> <tr> <th>25</th> <td>2010</td> <td>0</td> <td>1214472</td> <td>73</td> </tr> <tr> <th>26</th> <td>2011</td> <td>0</td> <td>1056300</td> <td>88</td> </tr> <tr> <th>27</th> <td>2012</td> <td>0</td> <td>989753</td> <td>100</td> </tr> <tr> <th>28</th> <td>2013</td> <td>0</td> <td>303470</td> <td>165</td> </tr> <tr> <th>29</th> <td>career</td> <td>20 (1)</td> <td>42511946</td> <td>6</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "rank" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( rank ) where year = 2013 <table_name> : table | | year | wins (majors) | earnings ($) | rank | |---:|:-------|:----------------|---------------:|:-------| | 0 | 1985 | 0 | 0 | none | | 1 | 1986 | 0 | 113245 | 77 | | 2 | 1987 | 1 | 297378 | 33 | | 3 | 1988 | 0 | 156068 | 75 | | 4 | 1989 | 0 | 278760 | 44 | | 5 | 1990 | 1 | 537172 | 20 | | 6 | 1991 | 1 | 686361 | 8 | | 7 | 1992 | 3 | 1191630 | 2 | | 8 | 1993 | 2 | 777059 | 12 | | 9 | 1994 | 0 | 474219 | 33 | | 10 | 1995 | 1 | 1111999 | 6 | | 11 | 1996 | 1 | 1211139 | 7 | | 12 | 1997 | 2 (1) | 1635953 | 3 | | 13 | 1998 | 1 | 1541152 | 11 | | 14 | 1999 | 0 | 2475328 | 3 | | 15 | 2000 | 0 | 2337765 | 9 | | 16 | 2001 | 1 | 3169463 | 5 | | 17 | 2002 | 0 | 2056160 | 21 | | 18 | 2003 | 4 | 6081896 | 3 | | 19 | 2004 | 0 | 3075092 | 10 | | 20 | 2005 | 0 | 2658779 | 13 | | 21 | 2006 | 1 | 2747206 | 16 | | 22 | 2007 | 0 | 1016489 | 96 | | 23 | 2008 | 1 | 1695237 | 48 | | 24 | 2009 | 0 | 1622401 | 52 | | 25 | 2010 | 0 | 1214472 | 73 | | 26 | 2011 | 0 | 1056300 | 88 | | 27 | 2012 | 0 | 989753 | 100 | | 28 | 2013 | 0 | 303470 | 165 | | 29 | career | 20 (1) | 42511946 | 6 |

| | count ( "rank" ) | |---:|-------------------:| | 0 | 1 |

select count ( * ) where s no. = 's.742' and original work = 'act iv' col : original work | liszt work | forces | date | s no. | notes row 1 : opera lucrezia borgia (1833) | reminiscences de lucrezia borgia | piano | 1840 | s.400 | the sections are: (1) trio du second acte and (2) fantaisie sur des motifs favoris de l'opera: chanson a boire (orgie), duo and finale row 2 : opera lucia di lammermoor (1835) | reminiscences de lucia di lammermoor | piano | 1835-36 | s.397 | based on the sextet row 3 : opera lucia di lammermoor (1835) | marche et cavatine de lucie de lammermoor | piano | 1835-36 | s.398 | intended as part of the reminiscences (s.397) but separated by the publisher row 4 : lucia di lammermoor | valse a capriccio sur deux motifs de lucia et parisina | piano | 1842 | s.401 | combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) row 5 : opera parisina (1833) | valse a capriccio sur deux motifs de lucia et parisina | piano | 1842 | s.401 | combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) row 6 : nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone" | nuits d'ete a pausilippe | piano | 1838 | s.399 | none row 7 : opera la favorite (1840): duettino (act iv) | spirito gentil | piano | 1847 | s.400a | possibly same as s.742 row 8 : opera dom sebastien (1843): funeral march | marche funebre de dom sebastien | piano | 1844 | s.402 | none row 9 : act iv | paraphrase | piano | none | s.744 | lost; this was based on theodor kullak's transcription (paraphrase), op. 31, which was itself dedicated to liszt row 10 : "duettino" | transcription | piano | none | s.742 | lost. possibly same as s.400a

col : count ( "*" ) row 1 : 0

select count ( * ) where s no. = 's.742' and original work = 'act iv' <table_name> : table \begin{tabular}{lllllll} \toprule & original work & liszt work & forces & date & s no. & notes \\ \midrule 0 & opera lucrezia borgia (1833) & reminiscences de lucrezia borgia & piano & 1840 & s.400 & the sections are: (1) trio du second acte and (2) fantaisie sur des motifs favoris de l'opera: chanson a boire (orgie), duo and finale \\ 1 & opera lucia di lammermoor (1835) & reminiscences de lucia di lammermoor & piano & 1835-36 & s.397 & based on the sextet \\ 2 & opera lucia di lammermoor (1835) & marche et cavatine de lucie de lammermoor & piano & 1835-36 & s.398 & intended as part of the reminiscences (s.397) but separated by the publisher \\ 3 & lucia di lammermoor & valse a capriccio sur deux motifs de lucia et parisina & piano & 1842 & s.401 & combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) \\ 4 & opera parisina (1833) & valse a capriccio sur deux motifs de lucia et parisina & piano & 1842 & s.401 & combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) \\ 5 & nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone" & nuits d'ete a pausilippe & piano & 1838 & s.399 & none \\ 6 & opera la favorite (1840): duettino (act iv) & spirito gentil & piano & 1847 & s.400a & possibly same as s.742 \\ 7 & opera dom sebastien (1843): funeral march & marche funebre de dom sebastien & piano & 1844 & s.402 & none \\ 8 & act iv & paraphrase & piano & none & s.744 & lost; this was based on theodor kullak's transcription (paraphrase), op. 31, which was itself dedicated to liszt \\ 9 & "duettino" & transcription & piano & none & s.742 & lost. possibly same as s.400a \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 0 \\ \bottomrule \end{tabular}

select count ( * ) where s no. = 's.742' and original work = 'act iv' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>original work</th> <th>liszt work</th> <th>forces</th> <th>date</th> <th>s no.</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>opera lucrezia borgia (1833)</td> <td>reminiscences de lucrezia borgia</td> <td>piano</td> <td>1840</td> <td>s.400</td> <td>the sections are: (1) trio du second acte and (2) fantaisie sur des motifs favoris de l'opera: chanson a boire (orgie), duo and finale</td> </tr> <tr> <th>1</th> <td>opera lucia di lammermoor (1835)</td> <td>reminiscences de lucia di lammermoor</td> <td>piano</td> <td>1835-36</td> <td>s.397</td> <td>based on the sextet</td> </tr> <tr> <th>2</th> <td>opera lucia di lammermoor (1835)</td> <td>marche et cavatine de lucie de lammermoor</td> <td>piano</td> <td>1835-36</td> <td>s.398</td> <td>intended as part of the reminiscences (s.397) but separated by the publisher</td> </tr> <tr> <th>3</th> <td>lucia di lammermoor</td> <td>valse a capriccio sur deux motifs de lucia et parisina</td> <td>piano</td> <td>1842</td> <td>s.401</td> <td>combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52)</td> </tr> <tr> <th>4</th> <td>opera parisina (1833)</td> <td>valse a capriccio sur deux motifs de lucia et parisina</td> <td>piano</td> <td>1842</td> <td>s.401</td> <td>combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52)</td> </tr> <tr> <th>5</th> <td>nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone"</td> <td>nuits d'ete a pausilippe</td> <td>piano</td> <td>1838</td> <td>s.399</td> <td>none</td> </tr> <tr> <th>6</th> <td>opera la favorite (1840): duettino (act iv)</td> <td>spirito gentil</td> <td>piano</td> <td>1847</td> <td>s.400a</td> <td>possibly same as s.742</td> </tr> <tr> <th>7</th> <td>opera dom sebastien (1843): funeral march</td> <td>marche funebre de dom sebastien</td> <td>piano</td> <td>1844</td> <td>s.402</td> <td>none</td> </tr> <tr> <th>8</th> <td>act iv</td> <td>paraphrase</td> <td>piano</td> <td>none</td> <td>s.744</td> <td>lost; this was based on theodor kullak's transcription (paraphrase), op. 31, which was itself dedicated to liszt</td> </tr> <tr> <th>9</th> <td>"duettino"</td> <td>transcription</td> <td>piano</td> <td>none</td> <td>s.742</td> <td>lost. possibly same as s.400a</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 s no. = 's.742' and original work = 'act iv' <table_name> : table | | original work | liszt work | forces | date | s no. | notes | |---:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------|:---------|:--------|:--------|:-----------------------------------------------------------------------------------------------------------------------------------------------| | 0 | opera lucrezia borgia (1833) | reminiscences de lucrezia borgia | piano | 1840 | s.400 | the sections are: (1) trio du second acte and (2) fantaisie sur des motifs favoris de l'opera: chanson a boire (orgie), duo and finale | | 1 | opera lucia di lammermoor (1835) | reminiscences de lucia di lammermoor | piano | 1835-36 | s.397 | based on the sextet | | 2 | opera lucia di lammermoor (1835) | marche et cavatine de lucie de lammermoor | piano | 1835-36 | s.398 | intended as part of the reminiscences (s.397) but separated by the publisher | | 3 | lucia di lammermoor | valse a capriccio sur deux motifs de lucia et parisina | piano | 1842 | s.401 | combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) | | 4 | opera parisina (1833) | valse a capriccio sur deux motifs de lucia et parisina | piano | 1842 | s.401 | combines motifs from lucia di lammermoor and parisina. the valse a capriccio, s.401 was revised as no. 3 of 3 caprices-valses, s.214 (1850-52) | | 5 | nuits d'ete a pausilippe, 12 ariettas and nocturnes (voices and chamber ensemble; 1836): no. 1, "barcajuolo" no. 9, "l'alito di bice" no. 4, "la torre di biasone" | nuits d'ete a pausilippe | piano | 1838 | s.399 | none | | 6 | opera la favorite (1840): duettino (act iv) | spirito gentil | piano | 1847 | s.400a | possibly same as s.742 | | 7 | opera dom sebastien (1843): funeral march | marche funebre de dom sebastien | piano | 1844 | s.402 | none | | 8 | act iv | paraphrase | piano | none | s.744 | lost; this was based on theodor kullak's transcription (paraphrase), op. 31, which was itself dedicated to liszt | | 9 | "duettino" | transcription | piano | none | s.742 | lost. possibly same as s.400a |

| | count ( "*" ) | |---:|----------------:| | 0 | 0 |

select third place where host(s) = 'ant & dec' col : series | premiere | finale | winner | runner-up | third place | host(s) | judging panel | guest judge(s) row 1 : one | 9 june 2007 | 17 june 2007 | paul potts | damon scott | connie talbot | ant & dec | simon cowell amanda holden piers morgan | none row 2 : two | 12 april 2008 | 31 may 2008 | george sampson | signature | andrew johnston | ant & dec | simon cowell amanda holden piers morgan | none row 3 : three | 11 april 2009 | 30 may 2009 | diversity | susan boyle | julian smith | ant & dec | simon cowell amanda holden piers morgan | kelly brook row 4 : four | 17 april 2010 | 5 june 2010 | spelbound | twist and pulse | kieran gaffney | ant & dec | simon cowell amanda holden piers morgan | louis walsh row 5 : five | 16 april 2011 | 4 june 2011 | jai mcdowall | ronan parke | new bounce | ant & dec | simon cowell amanda holden david hasselhoff michael mcintyre | louis walsh row 6 : six | 24 march 2012 | 12 may 2012 | ashleigh and pudsey | jonathan and charlotte | only boys aloud | ant & dec | simon cowell amanda holden alesha dixon david walliams | carmen electra row 7 : seven | 13 april 2013 | 8 june 2013 | attraction | jack carroll | richard & adam | ant & dec | simon cowell amanda holden alesha dixon david walliams | none row 8 : eight | 12 april 2014 | 31 may 2014 | none | none | none | ant & dec | simon cowell amanda holden alesha dixon david walliams | ant & dec row 9 : nine | 2015 | 2015 | none | none | none | ant & dec | none | none

col : third place row 1 : connie talbot row 2 : andrew johnston row 3 : julian smith row 4 : kieran gaffney row 5 : new bounce row 6 : only boys aloud row 7 : richard & adam row 8 : none row 9 : none

select third place where host(s) = 'ant & dec' <table_name> : table \begin{tabular}{llllllllll} \toprule & series & premiere & finale & winner & runner-up & third place & host(s) & judging panel & guest judge(s) \\ \midrule 0 & one & 9 june 2007 & 17 june 2007 & paul potts & damon scott & connie talbot & ant & dec & simon cowell amanda holden piers morgan & none \\ 1 & two & 12 april 2008 & 31 may 2008 & george sampson & signature & andrew johnston & ant & dec & simon cowell amanda holden piers morgan & none \\ 2 & three & 11 april 2009 & 30 may 2009 & diversity & susan boyle & julian smith & ant & dec & simon cowell amanda holden piers morgan & kelly brook \\ 3 & four & 17 april 2010 & 5 june 2010 & spelbound & twist and pulse & kieran gaffney & ant & dec & simon cowell amanda holden piers morgan & louis walsh \\ 4 & five & 16 april 2011 & 4 june 2011 & jai mcdowall & ronan parke & new bounce & ant & dec & simon cowell amanda holden david hasselhoff michael mcintyre & louis walsh \\ 5 & six & 24 march 2012 & 12 may 2012 & ashleigh and pudsey & jonathan and charlotte & only boys aloud & ant & dec & simon cowell amanda holden alesha dixon david walliams & carmen electra \\ 6 & seven & 13 april 2013 & 8 june 2013 & attraction & jack carroll & richard & adam & ant & dec & simon cowell amanda holden alesha dixon david walliams & none \\ 7 & eight & 12 april 2014 & 31 may 2014 & none & none & none & ant & dec & simon cowell amanda holden alesha dixon david walliams & ant & dec \\ 8 & nine & 2015 & 2015 & none & none & none & ant & dec & none & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & third place \\ \midrule 0 & connie talbot \\ 1 & andrew johnston \\ 2 & julian smith \\ 3 & kieran gaffney \\ 4 & new bounce \\ 5 & only boys aloud \\ 6 & richard & adam \\ 7 & none \\ 8 & none \\ \bottomrule \end{tabular}

select third place where host(s) = 'ant & dec' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>series</th> <th>premiere</th> <th>finale</th> <th>winner</th> <th>runner-up</th> <th>third place</th> <th>host(s)</th> <th>judging panel</th> <th>guest judge(s)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>one</td> <td>9 june 2007</td> <td>17 june 2007</td> <td>paul potts</td> <td>damon scott</td> <td>connie talbot</td> <td>ant &amp; dec</td> <td>simon cowell amanda holden piers morgan</td> <td>none</td> </tr> <tr> <th>1</th> <td>two</td> <td>12 april 2008</td> <td>31 may 2008</td> <td>george sampson</td> <td>signature</td> <td>andrew johnston</td> <td>ant &amp; dec</td> <td>simon cowell amanda holden piers morgan</td> <td>none</td> </tr> <tr> <th>2</th> <td>three</td> <td>11 april 2009</td> <td>30 may 2009</td> <td>diversity</td> <td>susan boyle</td> <td>julian smith</td> <td>ant &amp; dec</td> <td>simon cowell amanda holden piers morgan</td> <td>kelly brook</td> </tr> <tr> <th>3</th> <td>four</td> <td>17 april 2010</td> <td>5 june 2010</td> <td>spelbound</td> <td>twist and pulse</td> <td>kieran gaffney</td> <td>ant &amp; dec</td> <td>simon cowell amanda holden piers morgan</td> <td>louis walsh</td> </tr> <tr> <th>4</th> <td>five</td> <td>16 april 2011</td> <td>4 june 2011</td> <td>jai mcdowall</td> <td>ronan parke</td> <td>new bounce</td> <td>ant &amp; dec</td> <td>simon cowell amanda holden david hasselhoff michael mcintyre</td> <td>louis walsh</td> </tr> <tr> <th>5</th> <td>six</td> <td>24 march 2012</td> <td>12 may 2012</td> <td>ashleigh and pudsey</td> <td>jonathan and charlotte</td> <td>only boys aloud</td> <td>ant &amp; dec</td> <td>simon cowell amanda holden alesha dixon david walliams</td> <td>carmen electra</td> </tr> <tr> <th>6</th> <td>seven</td> <td>13 april 2013</td> <td>8 june 2013</td> <td>attraction</td> <td>jack carroll</td> <td>richard &amp; adam</td> <td>ant &amp; dec</td> <td>simon cowell amanda holden alesha dixon david walliams</td> <td>none</td> </tr> <tr> <th>7</th> <td>eight</td> <td>12 april 2014</td> <td>31 may 2014</td> <td>none</td> <td>none</td> <td>none</td> <td>ant &amp; dec</td> <td>simon cowell amanda holden alesha dixon david walliams</td> <td>ant &amp; dec</td> </tr> <tr> <th>8</th> <td>nine</td> <td>2015</td> <td>2015</td> <td>none</td> <td>none</td> <td>none</td> <td>ant &amp; dec</td> <td>none</td> <td>none</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>third place</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>connie talbot</td> </tr> <tr> <th>1</th> <td>andrew johnston</td> </tr> <tr> <th>2</th> <td>julian smith</td> </tr> <tr> <th>3</th> <td>kieran gaffney</td> </tr> <tr> <th>4</th> <td>new bounce</td> </tr> <tr> <th>5</th> <td>only boys aloud</td> </tr> <tr> <th>6</th> <td>richard &amp; adam</td> </tr> <tr> <th>7</th> <td>none</td> </tr> <tr> <th>8</th> <td>none</td> </tr> </tbody> </table>

select third place where host(s) = 'ant & dec' <table_name> : table | | series | premiere | finale | winner | runner-up | third place | host(s) | judging panel | guest judge(s) | |---:|:---------|:--------------|:-------------|:--------------------|:-----------------------|:----------------|:----------|:-------------------------------------------------------------|:-----------------| | 0 | one | 9 june 2007 | 17 june 2007 | paul potts | damon scott | connie talbot | ant & dec | simon cowell amanda holden piers morgan | none | | 1 | two | 12 april 2008 | 31 may 2008 | george sampson | signature | andrew johnston | ant & dec | simon cowell amanda holden piers morgan | none | | 2 | three | 11 april 2009 | 30 may 2009 | diversity | susan boyle | julian smith | ant & dec | simon cowell amanda holden piers morgan | kelly brook | | 3 | four | 17 april 2010 | 5 june 2010 | spelbound | twist and pulse | kieran gaffney | ant & dec | simon cowell amanda holden piers morgan | louis walsh | | 4 | five | 16 april 2011 | 4 june 2011 | jai mcdowall | ronan parke | new bounce | ant & dec | simon cowell amanda holden david hasselhoff michael mcintyre | louis walsh | | 5 | six | 24 march 2012 | 12 may 2012 | ashleigh and pudsey | jonathan and charlotte | only boys aloud | ant & dec | simon cowell amanda holden alesha dixon david walliams | carmen electra | | 6 | seven | 13 april 2013 | 8 june 2013 | attraction | jack carroll | richard & adam | ant & dec | simon cowell amanda holden alesha dixon david walliams | none | | 7 | eight | 12 april 2014 | 31 may 2014 | none | none | none | ant & dec | simon cowell amanda holden alesha dixon david walliams | ant & dec | | 8 | nine | 2015 | 2015 | none | none | none | ant & dec | none | none |

| | third place | |---:|:----------------| | 0 | connie talbot | | 1 | andrew johnston | | 2 | julian smith | | 3 | kieran gaffney | | 4 | new bounce | | 5 | only boys aloud | | 6 | richard & adam | | 7 | none | | 8 | none |

select count ( song ) where us rap = 'none' col : year | song | us r&b | us rap | album row 1 : 1991 | "mistadobalina" | 55 | 6 | i wish my brother george was here row 2 : 1991 | "sleepin' on my couch" | none | none | i wish my brother george was here row 3 : 1992 | "dr. bombay.." | none | none | i wish my brother george was here row 4 : 1993 | "catch a bad one" | none | none | no need for alarm row 5 : 1994 | "wrong place" | none | 48 | no need for alarm row 6 : 1999 | "phoney phranchise" | none | 47 | both sides of the brain row 7 : 2000 | "if you must" | none | 27 | both sides of the brain row 8 : 2008 | "workin' it" | none | none | eleventh hour row 9 : 2011 | "one out of a million" | none | none | golden era

col : count ( "song" ) row 1 : 5

select count ( song ) where us rap = 'none' <table_name> : table \begin{tabular}{llllll} \toprule & year & song & us r&b & us rap & album \\ \midrule 0 & 1991 & "mistadobalina" & 55 & 6 & i wish my brother george was here \\ 1 & 1991 & "sleepin' on my couch" & none & none & i wish my brother george was here \\ 2 & 1992 & "dr. bombay.." & none & none & i wish my brother george was here \\ 3 & 1993 & "catch a bad one" & none & none & no need for alarm \\ 4 & 1994 & "wrong place" & none & 48 & no need for alarm \\ 5 & 1999 & "phoney phranchise" & none & 47 & both sides of the brain \\ 6 & 2000 & "if you must" & none & 27 & both sides of the brain \\ 7 & 2008 & "workin' it" & none & none & eleventh hour \\ 8 & 2011 & "one out of a million" & none & none & golden era \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "song" ) \\ \midrule 0 & 5 \\ \bottomrule \end{tabular}

select count ( song ) where us rap = 'none' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>song</th> <th>us r&amp;b</th> <th>us rap</th> <th>album</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1991</td> <td>"mistadobalina"</td> <td>55</td> <td>6</td> <td>i wish my brother george was here</td> </tr> <tr> <th>1</th> <td>1991</td> <td>"sleepin' on my couch"</td> <td>none</td> <td>none</td> <td>i wish my brother george was here</td> </tr> <tr> <th>2</th> <td>1992</td> <td>"dr. bombay.."</td> <td>none</td> <td>none</td> <td>i wish my brother george was here</td> </tr> <tr> <th>3</th> <td>1993</td> <td>"catch a bad one"</td> <td>none</td> <td>none</td> <td>no need for alarm</td> </tr> <tr> <th>4</th> <td>1994</td> <td>"wrong place"</td> <td>none</td> <td>48</td> <td>no need for alarm</td> </tr> <tr> <th>5</th> <td>1999</td> <td>"phoney phranchise"</td> <td>none</td> <td>47</td> <td>both sides of the brain</td> </tr> <tr> <th>6</th> <td>2000</td> <td>"if you must"</td> <td>none</td> <td>27</td> <td>both sides of the brain</td> </tr> <tr> <th>7</th> <td>2008</td> <td>"workin' it"</td> <td>none</td> <td>none</td> <td>eleventh hour</td> </tr> <tr> <th>8</th> <td>2011</td> <td>"one out of a million"</td> <td>none</td> <td>none</td> <td>golden era</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "song" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>5</td> </tr> </tbody> </table>

select count ( song ) where us rap = 'none' <table_name> : table | | year | song | us r&b | us rap | album | |---:|-------:|:-----------------------|:---------|:---------|:----------------------------------| | 0 | 1991 | "mistadobalina" | 55 | 6 | i wish my brother george was here | | 1 | 1991 | "sleepin' on my couch" | none | none | i wish my brother george was here | | 2 | 1992 | "dr. bombay.." | none | none | i wish my brother george was here | | 3 | 1993 | "catch a bad one" | none | none | no need for alarm | | 4 | 1994 | "wrong place" | none | 48 | no need for alarm | | 5 | 1999 | "phoney phranchise" | none | 47 | both sides of the brain | | 6 | 2000 | "if you must" | none | 27 | both sides of the brain | | 7 | 2008 | "workin' it" | none | none | eleventh hour | | 8 | 2011 | "one out of a million" | none | none | golden era |

| | count ( "song" ) | |---:|-------------------:| | 0 | 5 |

select count ( * ) where slalom = 1100 col : season | age | overall | slalom | giant slalom | super g | downhill | combined row 1 : 2007 | 20 | 130 | none | 40 | none | none | none row 2 : 2008 | 21 | 64 | none | 28 | 46 | 46 | 31 row 3 : 2009 | 22 | 7 | none | 6 | 16 | 16 | 1 row 4 : 2010 | 23 | 1 | none | 2 | 6 | 2 | 2 row 5 : 2011 | 24 | 3 | none | 5 | 6 | 9 | 6 row 6 : 2012 | 25 | 24 | none | 16 | 28 | 17 | 19 row 7 : 2013 | 26 | 48 | none | 48 | 27 | 38 | 4 row 8 : 2014 | 27 | 18 | none | 25 | 14 | 20 | 11 row 9 : season | date | location | race | none | none | none | none row 10 : 2009 | 13 dec 2008 | val d'isere, france | giant slalom | none | none | none | none row 11 : 2009 | 16 jan 2009 | wengen, switzerland | super combined | none | none | none | none row 12 : 2010 | 4 dec 2009 | beaver creek, usa | super combined | none | none | none | none row 13 : 2010 | 5 dec 2009 | beaver creek, usa | downhill | none | none | none | none row 14 : 2010 | 6 dec 2009 | beaver creek, usa | giant slalom | none | none | none | none row 15 : 2010 | 16 jan 2010 | wengen, switzerland | downhill | none | none | none | none row 16 : 2010 | 10 mar 2010 | garmisch, germany | downhill | none | none | none | none row 17 : 2010 | 12 mar 2010 | garmisch, germany | giant slalom | none | none | none | none row 18 : 2011 | 5 mar 2011 | kranjska gora, slovenia | giant slalom | none | none | none | none

col : count ( "*" ) row 1 : 0

select count ( * ) where slalom = 1100 <table_name> : table \begin{tabular}{lllllllll} \toprule & season & age & overall & slalom & giant slalom & super g & downhill & combined \\ \midrule 0 & 2007 & 20 & 130 & none & 40 & none & none & none \\ 1 & 2008 & 21 & 64 & none & 28 & 46 & 46 & 31 \\ 2 & 2009 & 22 & 7 & none & 6 & 16 & 16 & 1 \\ 3 & 2010 & 23 & 1 & none & 2 & 6 & 2 & 2 \\ 4 & 2011 & 24 & 3 & none & 5 & 6 & 9 & 6 \\ 5 & 2012 & 25 & 24 & none & 16 & 28 & 17 & 19 \\ 6 & 2013 & 26 & 48 & none & 48 & 27 & 38 & 4 \\ 7 & 2014 & 27 & 18 & none & 25 & 14 & 20 & 11 \\ 8 & season & date & location & race & none & none & none & none \\ 9 & 2009 & 13 dec 2008 & val d'isere, france & giant slalom & none & none & none & none \\ 10 & 2009 & 16 jan 2009 & wengen, switzerland & super combined & none & none & none & none \\ 11 & 2010 & 4 dec 2009 & beaver creek, usa & super combined & none & none & none & none \\ 12 & 2010 & 5 dec 2009 & beaver creek, usa & downhill & none & none & none & none \\ 13 & 2010 & 6 dec 2009 & beaver creek, usa & giant slalom & none & none & none & none \\ 14 & 2010 & 16 jan 2010 & wengen, switzerland & downhill & none & none & none & none \\ 15 & 2010 & 10 mar 2010 & garmisch, germany & downhill & none & none & none & none \\ 16 & 2010 & 12 mar 2010 & garmisch, germany & giant slalom & none & none & none & none \\ 17 & 2011 & 5 mar 2011 & kranjska gora, slovenia & giant slalom & none & none & none & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 0 \\ \bottomrule \end{tabular}

select count ( * ) where slalom = 1100 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>season</th> <th>age</th> <th>overall</th> <th>slalom</th> <th>giant slalom</th> <th>super g</th> <th>downhill</th> <th>combined</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2007</td> <td>20</td> <td>130</td> <td>none</td> <td>40</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>1</th> <td>2008</td> <td>21</td> <td>64</td> <td>none</td> <td>28</td> <td>46</td> <td>46</td> <td>31</td> </tr> <tr> <th>2</th> <td>2009</td> <td>22</td> <td>7</td> <td>none</td> <td>6</td> <td>16</td> <td>16</td> <td>1</td> </tr> <tr> <th>3</th> <td>2010</td> <td>23</td> <td>1</td> <td>none</td> <td>2</td> <td>6</td> <td>2</td> <td>2</td> </tr> <tr> <th>4</th> <td>2011</td> <td>24</td> <td>3</td> <td>none</td> <td>5</td> <td>6</td> <td>9</td> <td>6</td> </tr> <tr> <th>5</th> <td>2012</td> <td>25</td> <td>24</td> <td>none</td> <td>16</td> <td>28</td> <td>17</td> <td>19</td> </tr> <tr> <th>6</th> <td>2013</td> <td>26</td> <td>48</td> <td>none</td> <td>48</td> <td>27</td> <td>38</td> <td>4</td> </tr> <tr> <th>7</th> <td>2014</td> <td>27</td> <td>18</td> <td>none</td> <td>25</td> <td>14</td> <td>20</td> <td>11</td> </tr> <tr> <th>8</th> <td>season</td> <td>date</td> <td>location</td> <td>race</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>9</th> <td>2009</td> <td>13 dec 2008</td> <td>val d'isere, france</td> <td>giant slalom</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>10</th> <td>2009</td> <td>16 jan 2009</td> <td>wengen, switzerland</td> <td>super combined</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>11</th> <td>2010</td> <td>4 dec 2009</td> <td>beaver creek, usa</td> <td>super combined</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>12</th> <td>2010</td> <td>5 dec 2009</td> <td>beaver creek, usa</td> <td>downhill</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>13</th> <td>2010</td> <td>6 dec 2009</td> <td>beaver creek, usa</td> <td>giant slalom</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>14</th> <td>2010</td> <td>16 jan 2010</td> <td>wengen, switzerland</td> <td>downhill</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>15</th> <td>2010</td> <td>10 mar 2010</td> <td>garmisch, germany</td> <td>downhill</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>16</th> <td>2010</td> <td>12 mar 2010</td> <td>garmisch, germany</td> <td>giant slalom</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>17</th> <td>2011</td> <td>5 mar 2011</td> <td>kranjska gora, slovenia</td> <td>giant slalom</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 ( "*" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>0</td> </tr> </tbody> </table>

select count ( * ) where slalom = 1100 <table_name> : table | | season | age | overall | slalom | giant slalom | super g | downhill | combined | |---:|:---------|:------------|:------------------------|:---------------|:---------------|:----------|:-----------|:-----------| | 0 | 2007 | 20 | 130 | none | 40 | none | none | none | | 1 | 2008 | 21 | 64 | none | 28 | 46 | 46 | 31 | | 2 | 2009 | 22 | 7 | none | 6 | 16 | 16 | 1 | | 3 | 2010 | 23 | 1 | none | 2 | 6 | 2 | 2 | | 4 | 2011 | 24 | 3 | none | 5 | 6 | 9 | 6 | | 5 | 2012 | 25 | 24 | none | 16 | 28 | 17 | 19 | | 6 | 2013 | 26 | 48 | none | 48 | 27 | 38 | 4 | | 7 | 2014 | 27 | 18 | none | 25 | 14 | 20 | 11 | | 8 | season | date | location | race | none | none | none | none | | 9 | 2009 | 13 dec 2008 | val d'isere, france | giant slalom | none | none | none | none | | 10 | 2009 | 16 jan 2009 | wengen, switzerland | super combined | none | none | none | none | | 11 | 2010 | 4 dec 2009 | beaver creek, usa | super combined | none | none | none | none | | 12 | 2010 | 5 dec 2009 | beaver creek, usa | downhill | none | none | none | none | | 13 | 2010 | 6 dec 2009 | beaver creek, usa | giant slalom | none | none | none | none | | 14 | 2010 | 16 jan 2010 | wengen, switzerland | downhill | none | none | none | none | | 15 | 2010 | 10 mar 2010 | garmisch, germany | downhill | none | none | none | none | | 16 | 2010 | 12 mar 2010 | garmisch, germany | giant slalom | none | none | none | none | | 17 | 2011 | 5 mar 2011 | kranjska gora, slovenia | giant slalom | none | none | none | none |

| | count ( "*" ) | |---:|----------------:| | 0 | 0 |

select count ( * ) where place = '2nd' col : season | tier | division | place row 1 : 1928-84 | 5 | regional | none row 2 : 1984/85 | 4 | 3a | 6th row 3 : 1985/86 | 4 | 3a | 9th row 4 : 1986/87 | 4 | 3a | 11th row 5 : 1987/88 | 4 | 3a | 15th row 6 : 1988/89 | 4 | 3a | 4th row 7 : 1989/90 | 4 | 3a | 9th row 8 : 1990/91 | 4 | 3a | 9th row 9 : 1991/92 | 4 | 3a | 5th row 10 : 1992/93 | 4 | 3a | 17th row 11 : 1993/94 | 4 | 3a | 7th row 12 : 1994/95 | 4 | 3a | 4th row 13 : 1995/96 | 4 | 3a | 1st row 14 : 1996/97 | 3 | 2ab | 19th row 15 : 1997/98 | 4 | 3a | 2nd

col : count ( "*" ) row 1 : 1

select count ( * ) where place = '2nd' <table_name> : table \begin{tabular}{lllll} \toprule & season & tier & division & place \\ \midrule 0 & 1928-84 & 5 & regional & none \\ 1 & 1984/85 & 4 & 3a & 6th \\ 2 & 1985/86 & 4 & 3a & 9th \\ 3 & 1986/87 & 4 & 3a & 11th \\ 4 & 1987/88 & 4 & 3a & 15th \\ 5 & 1988/89 & 4 & 3a & 4th \\ 6 & 1989/90 & 4 & 3a & 9th \\ 7 & 1990/91 & 4 & 3a & 9th \\ 8 & 1991/92 & 4 & 3a & 5th \\ 9 & 1992/93 & 4 & 3a & 17th \\ 10 & 1993/94 & 4 & 3a & 7th \\ 11 & 1994/95 & 4 & 3a & 4th \\ 12 & 1995/96 & 4 & 3a & 1st \\ 13 & 1996/97 & 3 & 2ab & 19th \\ 14 & 1997/98 & 4 & 3a & 2nd \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( * ) where place = '2nd' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>season</th> <th>tier</th> <th>division</th> <th>place</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1928-84</td> <td>5</td> <td>regional</td> <td>none</td> </tr> <tr> <th>1</th> <td>1984/85</td> <td>4</td> <td>3a</td> <td>6th</td> </tr> <tr> <th>2</th> <td>1985/86</td> <td>4</td> <td>3a</td> <td>9th</td> </tr> <tr> <th>3</th> <td>1986/87</td> <td>4</td> <td>3a</td> <td>11th</td> </tr> <tr> <th>4</th> <td>1987/88</td> <td>4</td> <td>3a</td> <td>15th</td> </tr> <tr> <th>5</th> <td>1988/89</td> <td>4</td> <td>3a</td> <td>4th</td> </tr> <tr> <th>6</th> <td>1989/90</td> <td>4</td> <td>3a</td> <td>9th</td> </tr> <tr> <th>7</th> <td>1990/91</td> <td>4</td> <td>3a</td> <td>9th</td> </tr> <tr> <th>8</th> <td>1991/92</td> <td>4</td> <td>3a</td> <td>5th</td> </tr> <tr> <th>9</th> <td>1992/93</td> <td>4</td> <td>3a</td> <td>17th</td> </tr> <tr> <th>10</th> <td>1993/94</td> <td>4</td> <td>3a</td> <td>7th</td> </tr> <tr> <th>11</th> <td>1994/95</td> <td>4</td> <td>3a</td> <td>4th</td> </tr> <tr> <th>12</th> <td>1995/96</td> <td>4</td> <td>3a</td> <td>1st</td> </tr> <tr> <th>13</th> <td>1996/97</td> <td>3</td> <td>2ab</td> <td>19th</td> </tr> <tr> <th>14</th> <td>1997/98</td> <td>4</td> <td>3a</td> <td>2nd</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "*" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( * ) where place = '2nd' <table_name> : table | | season | tier | division | place | |---:|:---------|-------:|:-----------|:--------| | 0 | 1928-84 | 5 | regional | none | | 1 | 1984/85 | 4 | 3a | 6th | | 2 | 1985/86 | 4 | 3a | 9th | | 3 | 1986/87 | 4 | 3a | 11th | | 4 | 1987/88 | 4 | 3a | 15th | | 5 | 1988/89 | 4 | 3a | 4th | | 6 | 1989/90 | 4 | 3a | 9th | | 7 | 1990/91 | 4 | 3a | 9th | | 8 | 1991/92 | 4 | 3a | 5th | | 9 | 1992/93 | 4 | 3a | 17th | | 10 | 1993/94 | 4 | 3a | 7th | | 11 | 1994/95 | 4 | 3a | 4th | | 12 | 1995/96 | 4 | 3a | 1st | | 13 | 1996/97 | 3 | 2ab | 19th | | 14 | 1997/98 | 4 | 3a | 2nd |

| | count ( "*" ) | |---:|----------------:| | 0 | 1 |

select gold where event = 'k-2 500 m' col : event | gold | time -1 | silver | time -2 | bronze | time -3 row 1 : k-1 200 m | lisa carrington (nzl) | 39.998 | marta walczykiewicz (pol) | 40.472 | inna osypenko-radomska (ukr) | 40.67 row 2 : k-1 500 m | nicole reinhardt (ger) | 1:47.066 | danuta kozak (hun) | 1:47.396 | inna osypenko-radomska (ukr) | 1:48.668 row 3 : k-1 1000 m | tamara csipes (hun) | 4:11.388 | krisztina fazekas zur (usa) | 4:13.470 | naomi flood (aus) | 4:14.124 row 4 : k-1 5000 m | tamara csipes (hun) | 22:19.816 | lani belcher (gbr) | 22:26.572 | maryna paltaran (blr) | 22:37.294 row 5 : k-2 200 m | hungary katalin kovacs danuta kozak | 37.667 | poland karolina naja magdalena krukowska | 38.165 | australia joanne brigden-jones hannah davis | 38.369 row 6 : k-2 500 m | austria yvonne schuring viktoria schwarz | 1:37.071 wb | germany franziska weber tina dietze | 1:37.275 | poland beata mikołajczyk aneta konieczna | 1:37.803 row 7 : k-2 1000 m | germany anne knorr debora niche | 3:50.614 | bulgaria berenike faldum daniela nedeva | 3:50.950 | hungary aliz sarudi erika medveczky | 3:53.416 row 8 : k-4 500 m | hungary gabriella szabo danuta kozak katalin kovacs dalma benedek | 1:36.339 | germany carolin leonhardt silke hormann franziska weber tina dietze | 1:37.521 | belarus iryna pamialova nadzeya papok volha khudzenka maryna paltaran | 1:37.887 row 9 : k-1 4x200 m relay | germany nicole reinhardt conny wassmuth tina dietze carolin leonhardt | 2:49.541 | russia natalia lobova anastasiya sergeeva natalia proskurina svetlana kudinova | 2:50.207 | poland marta walczykiewicz karolina naja aneta konieczna ewelina wojnarowska | 2:50.951

col : gold row 1 : austria yvonne schuring viktoria schwarz

select gold where event = 'k-2 500 m' <table_name> : table \begin{tabular}{llllllll} \toprule & event & gold & time -1 & silver & time -2 & bronze & time -3 \\ \midrule 0 & k-1 200 m & lisa carrington (nzl) & 39.998 & marta walczykiewicz (pol) & 40.472 & inna osypenko-radomska (ukr) & 40.67 \\ 1 & k-1 500 m & nicole reinhardt (ger) & 1:47.066 & danuta kozak (hun) & 1:47.396 & inna osypenko-radomska (ukr) & 1:48.668 \\ 2 & k-1 1000 m & tamara csipes (hun) & 4:11.388 & krisztina fazekas zur (usa) & 4:13.470 & naomi flood (aus) & 4:14.124 \\ 3 & k-1 5000 m & tamara csipes (hun) & 22:19.816 & lani belcher (gbr) & 22:26.572 & maryna paltaran (blr) & 22:37.294 \\ 4 & k-2 200 m & hungary katalin kovacs danuta kozak & 37.667 & poland karolina naja magdalena krukowska & 38.165 & australia joanne brigden-jones hannah davis & 38.369 \\ 5 & k-2 500 m & austria yvonne schuring viktoria schwarz & 1:37.071 wb & germany franziska weber tina dietze & 1:37.275 & poland beata mikołajczyk aneta konieczna & 1:37.803 \\ 6 & k-2 1000 m & germany anne knorr debora niche & 3:50.614 & bulgaria berenike faldum daniela nedeva & 3:50.950 & hungary aliz sarudi erika medveczky & 3:53.416 \\ 7 & k-4 500 m & hungary gabriella szabo danuta kozak katalin kovacs dalma benedek & 1:36.339 & germany carolin leonhardt silke hormann franziska weber tina dietze & 1:37.521 & belarus iryna pamialova nadzeya papok volha khudzenka maryna paltaran & 1:37.887 \\ 8 & k-1 4x200 m relay & germany nicole reinhardt conny wassmuth tina dietze carolin leonhardt & 2:49.541 & russia natalia lobova anastasiya sergeeva natalia proskurina svetlana kudinova & 2:50.207 & poland marta walczykiewicz karolina naja aneta konieczna ewelina wojnarowska & 2:50.951 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & gold \\ \midrule 0 & austria yvonne schuring viktoria schwarz \\ \bottomrule \end{tabular}

select gold where event = 'k-2 500 m' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>event</th> <th>gold</th> <th>time -1</th> <th>silver</th> <th>time -2</th> <th>bronze</th> <th>time -3</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>k-1 200 m</td> <td>lisa carrington (nzl)</td> <td>39.998</td> <td>marta walczykiewicz (pol)</td> <td>40.472</td> <td>inna osypenko-radomska (ukr)</td> <td>40.67</td> </tr> <tr> <th>1</th> <td>k-1 500 m</td> <td>nicole reinhardt (ger)</td> <td>1:47.066</td> <td>danuta kozak (hun)</td> <td>1:47.396</td> <td>inna osypenko-radomska (ukr)</td> <td>1:48.668</td> </tr> <tr> <th>2</th> <td>k-1 1000 m</td> <td>tamara csipes (hun)</td> <td>4:11.388</td> <td>krisztina fazekas zur (usa)</td> <td>4:13.470</td> <td>naomi flood (aus)</td> <td>4:14.124</td> </tr> <tr> <th>3</th> <td>k-1 5000 m</td> <td>tamara csipes (hun)</td> <td>22:19.816</td> <td>lani belcher (gbr)</td> <td>22:26.572</td> <td>maryna paltaran (blr)</td> <td>22:37.294</td> </tr> <tr> <th>4</th> <td>k-2 200 m</td> <td>hungary katalin kovacs danuta kozak</td> <td>37.667</td> <td>poland karolina naja magdalena krukowska</td> <td>38.165</td> <td>australia joanne brigden-jones hannah davis</td> <td>38.369</td> </tr> <tr> <th>5</th> <td>k-2 500 m</td> <td>austria yvonne schuring viktoria schwarz</td> <td>1:37.071 wb</td> <td>germany franziska weber tina dietze</td> <td>1:37.275</td> <td>poland beata mikołajczyk aneta konieczna</td> <td>1:37.803</td> </tr> <tr> <th>6</th> <td>k-2 1000 m</td> <td>germany anne knorr debora niche</td> <td>3:50.614</td> <td>bulgaria berenike faldum daniela nedeva</td> <td>3:50.950</td> <td>hungary aliz sarudi erika medveczky</td> <td>3:53.416</td> </tr> <tr> <th>7</th> <td>k-4 500 m</td> <td>hungary gabriella szabo danuta kozak katalin kovacs dalma benedek</td> <td>1:36.339</td> <td>germany carolin leonhardt silke hormann franziska weber tina dietze</td> <td>1:37.521</td> <td>belarus iryna pamialova nadzeya papok volha khudzenka maryna paltaran</td> <td>1:37.887</td> </tr> <tr> <th>8</th> <td>k-1 4x200 m relay</td> <td>germany nicole reinhardt conny wassmuth tina dietze carolin leonhardt</td> <td>2:49.541</td> <td>russia natalia lobova anastasiya sergeeva natalia proskurina svetlana kudinova</td> <td>2:50.207</td> <td>poland marta walczykiewicz karolina naja aneta konieczna ewelina wojnarowska</td> <td>2:50.951</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>gold</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>austria yvonne schuring viktoria schwarz</td> </tr> </tbody> </table>

select gold where event = 'k-2 500 m' <table_name> : table | | event | gold | time -1 | silver | time -2 | bronze | time -3 | |---:|:------------------|:----------------------------------------------------------------------|:------------|:-------------------------------------------------------------------------------|:----------|:-----------------------------------------------------------------------------|:----------| | 0 | k-1 200 m | lisa carrington (nzl) | 39.998 | marta walczykiewicz (pol) | 40.472 | inna osypenko-radomska (ukr) | 40.67 | | 1 | k-1 500 m | nicole reinhardt (ger) | 1:47.066 | danuta kozak (hun) | 1:47.396 | inna osypenko-radomska (ukr) | 1:48.668 | | 2 | k-1 1000 m | tamara csipes (hun) | 4:11.388 | krisztina fazekas zur (usa) | 4:13.470 | naomi flood (aus) | 4:14.124 | | 3 | k-1 5000 m | tamara csipes (hun) | 22:19.816 | lani belcher (gbr) | 22:26.572 | maryna paltaran (blr) | 22:37.294 | | 4 | k-2 200 m | hungary katalin kovacs danuta kozak | 37.667 | poland karolina naja magdalena krukowska | 38.165 | australia joanne brigden-jones hannah davis | 38.369 | | 5 | k-2 500 m | austria yvonne schuring viktoria schwarz | 1:37.071 wb | germany franziska weber tina dietze | 1:37.275 | poland beata mikołajczyk aneta konieczna | 1:37.803 | | 6 | k-2 1000 m | germany anne knorr debora niche | 3:50.614 | bulgaria berenike faldum daniela nedeva | 3:50.950 | hungary aliz sarudi erika medveczky | 3:53.416 | | 7 | k-4 500 m | hungary gabriella szabo danuta kozak katalin kovacs dalma benedek | 1:36.339 | germany carolin leonhardt silke hormann franziska weber tina dietze | 1:37.521 | belarus iryna pamialova nadzeya papok volha khudzenka maryna paltaran | 1:37.887 | | 8 | k-1 4x200 m relay | germany nicole reinhardt conny wassmuth tina dietze carolin leonhardt | 2:49.541 | russia natalia lobova anastasiya sergeeva natalia proskurina svetlana kudinova | 2:50.207 | poland marta walczykiewicz karolina naja aneta konieczna ewelina wojnarowska | 2:50.951 |

| | gold | |---:|:-----------------------------------------| | 0 | austria yvonne schuring viktoria schwarz |

select count ( opponent ) where score = '10 - 4' col : game | november | opponent | score | record row 1 : 2 | 5 | @ detroit red wings | 12 - 5 | 0-2-0 row 2 : 3 | 7 | montreal canadiens | 4 - 3 ot | 1-2-0 row 3 : 4 | 8 | @ montreal canadiens | 10 - 4 | 1-3-0 row 4 : 5 | 10 | chicago black hawks | 5 - 3 ot | 2-3-0 row 5 : 6 | 14 | @ boston bruins | 5 - 3 | 2-4-0 row 6 : 7 | 15 | boston bruins | 4 - 3 | 2-5-0 row 7 : 8 | 19 | toronto maple leafs | 7 - 3 | 2-6-0 row 8 : 9 | 22 | detroit red wings | 4 - 4 | 2-6-1 row 9 : 10 | 26 | @ chicago black hawks | 2 - 1 | 3-6-1 row 10 : 11 | 28 | @ toronto maple leafs | 8 - 6 | 3-7-1 row 11 : 12 | 29 | boston bruins | 3 - 2 | 4-7-1

col : count ( "opponent" ) row 1 : 1

select count ( opponent ) where score = '10 - 4' <table_name> : table \begin{tabular}{llllll} \toprule & game & november & opponent & score & record \\ \midrule 0 & 2 & 5 & @ detroit red wings & 12 - 5 & 0-2-0 \\ 1 & 3 & 7 & montreal canadiens & 4 - 3 ot & 1-2-0 \\ 2 & 4 & 8 & @ montreal canadiens & 10 - 4 & 1-3-0 \\ 3 & 5 & 10 & chicago black hawks & 5 - 3 ot & 2-3-0 \\ 4 & 6 & 14 & @ boston bruins & 5 - 3 & 2-4-0 \\ 5 & 7 & 15 & boston bruins & 4 - 3 & 2-5-0 \\ 6 & 8 & 19 & toronto maple leafs & 7 - 3 & 2-6-0 \\ 7 & 9 & 22 & detroit red wings & 4 - 4 & 2-6-1 \\ 8 & 10 & 26 & @ chicago black hawks & 2 - 1 & 3-6-1 \\ 9 & 11 & 28 & @ toronto maple leafs & 8 - 6 & 3-7-1 \\ 10 & 12 & 29 & boston bruins & 3 - 2 & 4-7-1 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "opponent" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( opponent ) where score = '10 - 4' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>game</th> <th>november</th> <th>opponent</th> <th>score</th> <th>record</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2</td> <td>5</td> <td>@ detroit red wings</td> <td>12 - 5</td> <td>0-2-0</td> </tr> <tr> <th>1</th> <td>3</td> <td>7</td> <td>montreal canadiens</td> <td>4 - 3 ot</td> <td>1-2-0</td> </tr> <tr> <th>2</th> <td>4</td> <td>8</td> <td>@ montreal canadiens</td> <td>10 - 4</td> <td>1-3-0</td> </tr> <tr> <th>3</th> <td>5</td> <td>10</td> <td>chicago black hawks</td> <td>5 - 3 ot</td> <td>2-3-0</td> </tr> <tr> <th>4</th> <td>6</td> <td>14</td> <td>@ boston bruins</td> <td>5 - 3</td> <td>2-4-0</td> </tr> <tr> <th>5</th> <td>7</td> <td>15</td> <td>boston bruins</td> <td>4 - 3</td> <td>2-5-0</td> </tr> <tr> <th>6</th> <td>8</td> <td>19</td> <td>toronto maple leafs</td> <td>7 - 3</td> <td>2-6-0</td> </tr> <tr> <th>7</th> <td>9</td> <td>22</td> <td>detroit red wings</td> <td>4 - 4</td> <td>2-6-1</td> </tr> <tr> <th>8</th> <td>10</td> <td>26</td> <td>@ chicago black hawks</td> <td>2 - 1</td> <td>3-6-1</td> </tr> <tr> <th>9</th> <td>11</td> <td>28</td> <td>@ toronto maple leafs</td> <td>8 - 6</td> <td>3-7-1</td> </tr> <tr> <th>10</th> <td>12</td> <td>29</td> <td>boston bruins</td> <td>3 - 2</td> <td>4-7-1</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "opponent" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( opponent ) where score = '10 - 4' <table_name> : table | | game | november | opponent | score | record | |---:|-------:|-----------:|:----------------------|:---------|:---------| | 0 | 2 | 5 | @ detroit red wings | 12 - 5 | 0-2-0 | | 1 | 3 | 7 | montreal canadiens | 4 - 3 ot | 1-2-0 | | 2 | 4 | 8 | @ montreal canadiens | 10 - 4 | 1-3-0 | | 3 | 5 | 10 | chicago black hawks | 5 - 3 ot | 2-3-0 | | 4 | 6 | 14 | @ boston bruins | 5 - 3 | 2-4-0 | | 5 | 7 | 15 | boston bruins | 4 - 3 | 2-5-0 | | 6 | 8 | 19 | toronto maple leafs | 7 - 3 | 2-6-0 | | 7 | 9 | 22 | detroit red wings | 4 - 4 | 2-6-1 | | 8 | 10 | 26 | @ chicago black hawks | 2 - 1 | 3-6-1 | | 9 | 11 | 28 | @ toronto maple leafs | 8 - 6 | 3-7-1 | | 10 | 12 | 29 | boston bruins | 3 - 2 | 4-7-1 |

| | count ( "opponent" ) | |---:|-----------------------:| | 0 | 1 |

select count ( rider ) where rider = 3 col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger lees | 10 | 9 | (1,1,2,2,3) | 19 row 6 : 6 | frank charles | 10 | 7 | (0,0,1,3,3) | 17 row 7 : 7 | lionel van praag | 11 | 6 | (3,0,-,3,0) | 17 row 8 : 8 | bill kitchen | 7 | 9 | (1,2,2,2,2) | 16 row 9 : 9 | george newton | 11 | 5 | (3,0,0,0,2) | 16 row 10 : 10 | eric langton | 12 | 4 | (1,0,0,3,0) | 16 row 11 : 11 | morian hansen | 7 | 8 | (1,2,3,1,1) | 15 row 12 : 12 | eric chitty | 11 | 4 | (0,2,0,1,1) | 15 row 13 : 13 | joe abbott | 8 | 6 | (2,1,1,2,0) | 14 row 14 : 14 | arthur atkinson | 8 | 6 | (2,0,2,1,1) | 14 row 15 : 15 | frank varey | 8 | 3 | (0,1,1,0,1) | 11 row 16 : 16 | tommy croombs | 6 | 2 | (0,2,0,0,0) | 8 row 17 : 17 | bob harrison | 7 | none | none | 7 row 18 : 18 | alec statham | 6 | 0 | (0) | 6

col : count ( "rider" ) row 1 : 0

select count ( rider ) where rider = 3 <table_name> : table \begin{tabular}{lllllll} \toprule & pos. & rider & semi-final points & final points & final heats & total points \\ \midrule 0 & 1 & jack milne & 13 & 15 & (3,3,3,3,3) & 28 \\ 1 & 2 & wilbur lamoreaux & 12 & 13 & (3,3,3,1,3) & 25 \\ 2 & 3 & cordy milne & 11 & 12 & (2,3,2,3,2) & 23 \\ 3 & 4 & jack parker & 11 & 10 & (2,3,1,2,2) & 21 \\ 4 & 5 & ginger lees & 10 & 9 & (1,1,2,2,3) & 19 \\ 5 & 6 & frank charles & 10 & 7 & (0,0,1,3,3) & 17 \\ 6 & 7 & lionel van praag & 11 & 6 & (3,0,-,3,0) & 17 \\ 7 & 8 & bill kitchen & 7 & 9 & (1,2,2,2,2) & 16 \\ 8 & 9 & george newton & 11 & 5 & (3,0,0,0,2) & 16 \\ 9 & 10 & eric langton & 12 & 4 & (1,0,0,3,0) & 16 \\ 10 & 11 & morian hansen & 7 & 8 & (1,2,3,1,1) & 15 \\ 11 & 12 & eric chitty & 11 & 4 & (0,2,0,1,1) & 15 \\ 12 & 13 & joe abbott & 8 & 6 & (2,1,1,2,0) & 14 \\ 13 & 14 & arthur atkinson & 8 & 6 & (2,0,2,1,1) & 14 \\ 14 & 15 & frank varey & 8 & 3 & (0,1,1,0,1) & 11 \\ 15 & 16 & tommy croombs & 6 & 2 & (0,2,0,0,0) & 8 \\ 16 & 17 & bob harrison & 7 & none & none & 7 \\ 17 & 18 & alec statham & 6 & 0 & (0) & 6 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "rider" ) \\ \midrule 0 & 0 \\ \bottomrule \end{tabular}

select count ( rider ) where rider = 3 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>pos.</th> <th>rider</th> <th>semi-final points</th> <th>final points</th> <th>final heats</th> <th>total points</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>jack milne</td> <td>13</td> <td>15</td> <td>(3,3,3,3,3)</td> <td>28</td> </tr> <tr> <th>1</th> <td>2</td> <td>wilbur lamoreaux</td> <td>12</td> <td>13</td> <td>(3,3,3,1,3)</td> <td>25</td> </tr> <tr> <th>2</th> <td>3</td> <td>cordy milne</td> <td>11</td> <td>12</td> <td>(2,3,2,3,2)</td> <td>23</td> </tr> <tr> <th>3</th> <td>4</td> <td>jack parker</td> <td>11</td> <td>10</td> <td>(2,3,1,2,2)</td> <td>21</td> </tr> <tr> <th>4</th> <td>5</td> <td>ginger lees</td> <td>10</td> <td>9</td> <td>(1,1,2,2,3)</td> <td>19</td> </tr> <tr> <th>5</th> <td>6</td> <td>frank charles</td> <td>10</td> <td>7</td> <td>(0,0,1,3,3)</td> <td>17</td> </tr> <tr> <th>6</th> <td>7</td> <td>lionel van praag</td> <td>11</td> <td>6</td> <td>(3,0,-,3,0)</td> <td>17</td> </tr> <tr> <th>7</th> <td>8</td> <td>bill kitchen</td> <td>7</td> <td>9</td> <td>(1,2,2,2,2)</td> <td>16</td> </tr> <tr> <th>8</th> <td>9</td> <td>george newton</td> <td>11</td> <td>5</td> <td>(3,0,0,0,2)</td> <td>16</td> </tr> <tr> <th>9</th> <td>10</td> <td>eric langton</td> <td>12</td> <td>4</td> <td>(1,0,0,3,0)</td> <td>16</td> </tr> <tr> <th>10</th> <td>11</td> <td>morian hansen</td> <td>7</td> <td>8</td> <td>(1,2,3,1,1)</td> <td>15</td> </tr> <tr> <th>11</th> <td>12</td> <td>eric chitty</td> <td>11</td> <td>4</td> <td>(0,2,0,1,1)</td> <td>15</td> </tr> <tr> <th>12</th> <td>13</td> <td>joe abbott</td> <td>8</td> <td>6</td> <td>(2,1,1,2,0)</td> <td>14</td> </tr> <tr> <th>13</th> <td>14</td> <td>arthur atkinson</td> <td>8</td> <td>6</td> <td>(2,0,2,1,1)</td> <td>14</td> </tr> <tr> <th>14</th> <td>15</td> <td>frank varey</td> <td>8</td> <td>3</td> <td>(0,1,1,0,1)</td> <td>11</td> </tr> <tr> <th>15</th> <td>16</td> <td>tommy croombs</td> <td>6</td> <td>2</td> <td>(0,2,0,0,0)</td> <td>8</td> </tr> <tr> <th>16</th> <td>17</td> <td>bob harrison</td> <td>7</td> <td>none</td> <td>none</td> <td>7</td> </tr> <tr> <th>17</th> <td>18</td> <td>alec statham</td> <td>6</td> <td>0</td> <td>(0)</td> <td>6</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "rider" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>0</td> </tr> </tbody> </table>

select count ( rider ) where rider = 3 <table_name> : table | | pos. | rider | semi-final points | final points | final heats | total points | |---:|-------:|:-----------------|--------------------:|:---------------|:--------------|---------------:| | 0 | 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 | | 1 | 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 | | 2 | 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 | | 3 | 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 | | 4 | 5 | ginger lees | 10 | 9 | (1,1,2,2,3) | 19 | | 5 | 6 | frank charles | 10 | 7 | (0,0,1,3,3) | 17 | | 6 | 7 | lionel van praag | 11 | 6 | (3,0,-,3,0) | 17 | | 7 | 8 | bill kitchen | 7 | 9 | (1,2,2,2,2) | 16 | | 8 | 9 | george newton | 11 | 5 | (3,0,0,0,2) | 16 | | 9 | 10 | eric langton | 12 | 4 | (1,0,0,3,0) | 16 | | 10 | 11 | morian hansen | 7 | 8 | (1,2,3,1,1) | 15 | | 11 | 12 | eric chitty | 11 | 4 | (0,2,0,1,1) | 15 | | 12 | 13 | joe abbott | 8 | 6 | (2,1,1,2,0) | 14 | | 13 | 14 | arthur atkinson | 8 | 6 | (2,0,2,1,1) | 14 | | 14 | 15 | frank varey | 8 | 3 | (0,1,1,0,1) | 11 | | 15 | 16 | tommy croombs | 6 | 2 | (0,2,0,0,0) | 8 | | 16 | 17 | bob harrison | 7 | none | none | 7 | | 17 | 18 | alec statham | 6 | 0 | (0) | 6 |

| | count ( "rider" ) | |---:|--------------------:| | 0 | 0 |

select season where finish = '5th' col : season | division | w-l | finish | home | road | gf | ga | coach | playoffs | avg attendance row 1 : 2006 | western | 1-15 | 6th | 0-8 | 1-7 | 150 | 202 | paul day | missed playoffs | 10367 row 2 : 2007 | western | 6-10 | 5th | 4-4 | 2-6 | 160 | 189 | paul day | missed playoffs | 10815 row 3 : 2008 | western | 4-12 | 5th | 3-5 | 1-7 | 141 | 197 | paul day (0-5) bob hamley (4-7) | missed playoffs | 8820 row 4 : 2009 | western | 5-11 | 6th | 4-4 | 1-7 | 159 | 200 | bob hamley | missed playoffs | 8347 row 5 : 2010 | western | 10-6 | 3rd | 5-3 | 5-3 | 186 | 201 | derek keenan | lost in western final | 7558 row 6 : 2011 | western | 5-11 | 5th | 4-4 | 1-7 | 175 | 204 | derek keenan | missed playoffs | 7151 row 7 : 2012 | western | 6-10 | 4th | 4-4 | 2-6 | 167 | 175 | derek keenan | lost in final | 7050 row 8 : 2013 | western | 9-7 | 3rd | 2-6 | 7-1 | 203 | 170 | derek keenan | lost in western semi-final | 6714 row 9 : total | 8 seasons | 46-82 | none | 26-38 | 20-44 | 1341 | 1538 | none | none | 8353 row 10 : playoff totals | none | 3-3 | none | 0-0 | 3-3 | 73 | 54 | none | none | none

col : season row 1 : 2007 row 2 : 2008 row 3 : 2011

select season where finish = '5th' <table_name> : table \begin{tabular}{llllllllllll} \toprule & season & division & w-l & finish & home & road & gf & ga & coach & playoffs & avg attendance \\ \midrule 0 & 2006 & western & 1-15 & 6th & 0-8 & 1-7 & 150 & 202 & paul day & missed playoffs & 10367 \\ 1 & 2007 & western & 6-10 & 5th & 4-4 & 2-6 & 160 & 189 & paul day & missed playoffs & 10815 \\ 2 & 2008 & western & 4-12 & 5th & 3-5 & 1-7 & 141 & 197 & paul day (0-5) bob hamley (4-7) & missed playoffs & 8820 \\ 3 & 2009 & western & 5-11 & 6th & 4-4 & 1-7 & 159 & 200 & bob hamley & missed playoffs & 8347 \\ 4 & 2010 & western & 10-6 & 3rd & 5-3 & 5-3 & 186 & 201 & derek keenan & lost in western final & 7558 \\ 5 & 2011 & western & 5-11 & 5th & 4-4 & 1-7 & 175 & 204 & derek keenan & missed playoffs & 7151 \\ 6 & 2012 & western & 6-10 & 4th & 4-4 & 2-6 & 167 & 175 & derek keenan & lost in final & 7050 \\ 7 & 2013 & western & 9-7 & 3rd & 2-6 & 7-1 & 203 & 170 & derek keenan & lost in western semi-final & 6714 \\ 8 & total & 8 seasons & 46-82 & none & 26-38 & 20-44 & 1341 & 1538 & none & none & 8353 \\ 9 & playoff totals & none & 3-3 & none & 0-0 & 3-3 & 73 & 54 & none & none & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & season \\ \midrule 0 & 2007 \\ 1 & 2008 \\ 2 & 2011 \\ \bottomrule \end{tabular}

select season where finish = '5th' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>season</th> <th>division</th> <th>w-l</th> <th>finish</th> <th>home</th> <th>road</th> <th>gf</th> <th>ga</th> <th>coach</th> <th>playoffs</th> <th>avg attendance</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2006</td> <td>western</td> <td>1-15</td> <td>6th</td> <td>0-8</td> <td>1-7</td> <td>150</td> <td>202</td> <td>paul day</td> <td>missed playoffs</td> <td>10367</td> </tr> <tr> <th>1</th> <td>2007</td> <td>western</td> <td>6-10</td> <td>5th</td> <td>4-4</td> <td>2-6</td> <td>160</td> <td>189</td> <td>paul day</td> <td>missed playoffs</td> <td>10815</td> </tr> <tr> <th>2</th> <td>2008</td> <td>western</td> <td>4-12</td> <td>5th</td> <td>3-5</td> <td>1-7</td> <td>141</td> <td>197</td> <td>paul day (0-5) bob hamley (4-7)</td> <td>missed playoffs</td> <td>8820</td> </tr> <tr> <th>3</th> <td>2009</td> <td>western</td> <td>5-11</td> <td>6th</td> <td>4-4</td> <td>1-7</td> <td>159</td> <td>200</td> <td>bob hamley</td> <td>missed playoffs</td> <td>8347</td> </tr> <tr> <th>4</th> <td>2010</td> <td>western</td> <td>10-6</td> <td>3rd</td> <td>5-3</td> <td>5-3</td> <td>186</td> <td>201</td> <td>derek keenan</td> <td>lost in western final</td> <td>7558</td> </tr> <tr> <th>5</th> <td>2011</td> <td>western</td> <td>5-11</td> <td>5th</td> <td>4-4</td> <td>1-7</td> <td>175</td> <td>204</td> <td>derek keenan</td> <td>missed playoffs</td> <td>7151</td> </tr> <tr> <th>6</th> <td>2012</td> <td>western</td> <td>6-10</td> <td>4th</td> <td>4-4</td> <td>2-6</td> <td>167</td> <td>175</td> <td>derek keenan</td> <td>lost in final</td> <td>7050</td> </tr> <tr> <th>7</th> <td>2013</td> <td>western</td> <td>9-7</td> <td>3rd</td> <td>2-6</td> <td>7-1</td> <td>203</td> <td>170</td> <td>derek keenan</td> <td>lost in western semi-final</td> <td>6714</td> </tr> <tr> <th>8</th> <td>total</td> <td>8 seasons</td> <td>46-82</td> <td>none</td> <td>26-38</td> <td>20-44</td> <td>1341</td> <td>1538</td> <td>none</td> <td>none</td> <td>8353</td> </tr> <tr> <th>9</th> <td>playoff totals</td> <td>none</td> <td>3-3</td> <td>none</td> <td>0-0</td> <td>3-3</td> <td>73</td> <td>54</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>season</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2007</td> </tr> <tr> <th>1</th> <td>2008</td> </tr> <tr> <th>2</th> <td>2011</td> </tr> </tbody> </table>

select season where finish = '5th' <table_name> : table | | season | division | w-l | finish | home | road | gf | ga | coach | playoffs | avg attendance | |---:|:---------------|:-----------|:------|:---------|:-------|:-------|-----:|-----:|:--------------------------------|:---------------------------|:-----------------| | 0 | 2006 | western | 1-15 | 6th | 0-8 | 1-7 | 150 | 202 | paul day | missed playoffs | 10367 | | 1 | 2007 | western | 6-10 | 5th | 4-4 | 2-6 | 160 | 189 | paul day | missed playoffs | 10815 | | 2 | 2008 | western | 4-12 | 5th | 3-5 | 1-7 | 141 | 197 | paul day (0-5) bob hamley (4-7) | missed playoffs | 8820 | | 3 | 2009 | western | 5-11 | 6th | 4-4 | 1-7 | 159 | 200 | bob hamley | missed playoffs | 8347 | | 4 | 2010 | western | 10-6 | 3rd | 5-3 | 5-3 | 186 | 201 | derek keenan | lost in western final | 7558 | | 5 | 2011 | western | 5-11 | 5th | 4-4 | 1-7 | 175 | 204 | derek keenan | missed playoffs | 7151 | | 6 | 2012 | western | 6-10 | 4th | 4-4 | 2-6 | 167 | 175 | derek keenan | lost in final | 7050 | | 7 | 2013 | western | 9-7 | 3rd | 2-6 | 7-1 | 203 | 170 | derek keenan | lost in western semi-final | 6714 | | 8 | total | 8 seasons | 46-82 | none | 26-38 | 20-44 | 1341 | 1538 | none | none | 8353 | | 9 | playoff totals | none | 3-3 | none | 0-0 | 3-3 | 73 | 54 | none | none | none |

| | season | |---:|---------:| | 0 | 2007 | | 1 | 2008 | | 2 | 2011 |

select max ( date ) where round = 9 col : round | date | circuit | winning driver (ta2) | winning vehicle (ta2) | winning driver (ta1) | winning vehicle (ta1) row 1 : 1 | may 21 | sears point | greg pickett | chevrolet corvette | gene bothello | chevrolet corvette row 2 : 2 | june 4 | westwood | ludwig heimrath | porsche 935 | nick engels | chevrolet corvette row 3 : 3 | june 11 | portland | tuck thomas | chevrolet monza | bob matkowitch | chevrolet corvette row 4 : 4 | june 25 | mont-tremblant | monte sheldon | porsche 935 | bob tullius | jaguar xjs row 5 : 5 | july 8 | watkins glen | hal shaw, jr. monte shelton | porsche 935 | brian fuerstenau bob tullius | jaguar xjs row 6 : 6 | august 13 | brainerd | jerry hansen | chevrolet monza | bob tullius | jaguar xjs row 7 : 7 | august 19 | mosport | greg pickett | chevrolet corvette | bob tullius | jaguar xjs row 8 : 8 | september 4 | road america | greg pickett | chevrolet corvette | bob tullius | jaguar xjs row 9 : 9 | october 8 | laguna seca | greg pickett | chevrolet corvette | bob tullius | jaguar xjs row 10 : 10 | november 5 | mexico city | ludwig heimrath | porsche 935 | bob tullius | jaguar xjs

col : max ( "date" ) row 1 : october 8

select max ( date ) where round = 9 <table_name> : table \begin{tabular}{llllllll} \toprule & round & date & circuit & winning driver (ta2) & winning vehicle (ta2) & winning driver (ta1) & winning vehicle (ta1) \\ \midrule 0 & 1 & may 21 & sears point & greg pickett & chevrolet corvette & gene bothello & chevrolet corvette \\ 1 & 2 & june 4 & westwood & ludwig heimrath & porsche 935 & nick engels & chevrolet corvette \\ 2 & 3 & june 11 & portland & tuck thomas & chevrolet monza & bob matkowitch & chevrolet corvette \\ 3 & 4 & june 25 & mont-tremblant & monte sheldon & porsche 935 & bob tullius & jaguar xjs \\ 4 & 5 & july 8 & watkins glen & hal shaw, jr. monte shelton & porsche 935 & brian fuerstenau bob tullius & jaguar xjs \\ 5 & 6 & august 13 & brainerd & jerry hansen & chevrolet monza & bob tullius & jaguar xjs \\ 6 & 7 & august 19 & mosport & greg pickett & chevrolet corvette & bob tullius & jaguar xjs \\ 7 & 8 & september 4 & road america & greg pickett & chevrolet corvette & bob tullius & jaguar xjs \\ 8 & 9 & october 8 & laguna seca & greg pickett & chevrolet corvette & bob tullius & jaguar xjs \\ 9 & 10 & november 5 & mexico city & ludwig heimrath & porsche 935 & bob tullius & jaguar xjs \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & max ( "date" ) \\ \midrule 0 & october 8 \\ \bottomrule \end{tabular}

select max ( date ) where round = 9 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>round</th> <th>date</th> <th>circuit</th> <th>winning driver (ta2)</th> <th>winning vehicle (ta2)</th> <th>winning driver (ta1)</th> <th>winning vehicle (ta1)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>may 21</td> <td>sears point</td> <td>greg pickett</td> <td>chevrolet corvette</td> <td>gene bothello</td> <td>chevrolet corvette</td> </tr> <tr> <th>1</th> <td>2</td> <td>june 4</td> <td>westwood</td> <td>ludwig heimrath</td> <td>porsche 935</td> <td>nick engels</td> <td>chevrolet corvette</td> </tr> <tr> <th>2</th> <td>3</td> <td>june 11</td> <td>portland</td> <td>tuck thomas</td> <td>chevrolet monza</td> <td>bob matkowitch</td> <td>chevrolet corvette</td> </tr> <tr> <th>3</th> <td>4</td> <td>june 25</td> <td>mont-tremblant</td> <td>monte sheldon</td> <td>porsche 935</td> <td>bob tullius</td> <td>jaguar xjs</td> </tr> <tr> <th>4</th> <td>5</td> <td>july 8</td> <td>watkins glen</td> <td>hal shaw, jr. monte shelton</td> <td>porsche 935</td> <td>brian fuerstenau bob tullius</td> <td>jaguar xjs</td> </tr> <tr> <th>5</th> <td>6</td> <td>august 13</td> <td>brainerd</td> <td>jerry hansen</td> <td>chevrolet monza</td> <td>bob tullius</td> <td>jaguar xjs</td> </tr> <tr> <th>6</th> <td>7</td> <td>august 19</td> <td>mosport</td> <td>greg pickett</td> <td>chevrolet corvette</td> <td>bob tullius</td> <td>jaguar xjs</td> </tr> <tr> <th>7</th> <td>8</td> <td>september 4</td> <td>road america</td> <td>greg pickett</td> <td>chevrolet corvette</td> <td>bob tullius</td> <td>jaguar xjs</td> </tr> <tr> <th>8</th> <td>9</td> <td>october 8</td> <td>laguna seca</td> <td>greg pickett</td> <td>chevrolet corvette</td> <td>bob tullius</td> <td>jaguar xjs</td> </tr> <tr> <th>9</th> <td>10</td> <td>november 5</td> <td>mexico city</td> <td>ludwig heimrath</td> <td>porsche 935</td> <td>bob tullius</td> <td>jaguar xjs</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>max ( "date" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>october 8</td> </tr> </tbody> </table>

select max ( date ) where round = 9 <table_name> : table | | round | date | circuit | winning driver (ta2) | winning vehicle (ta2) | winning driver (ta1) | winning vehicle (ta1) | |---:|--------:|:------------|:---------------|:----------------------------|:------------------------|:-----------------------------|:------------------------| | 0 | 1 | may 21 | sears point | greg pickett | chevrolet corvette | gene bothello | chevrolet corvette | | 1 | 2 | june 4 | westwood | ludwig heimrath | porsche 935 | nick engels | chevrolet corvette | | 2 | 3 | june 11 | portland | tuck thomas | chevrolet monza | bob matkowitch | chevrolet corvette | | 3 | 4 | june 25 | mont-tremblant | monte sheldon | porsche 935 | bob tullius | jaguar xjs | | 4 | 5 | july 8 | watkins glen | hal shaw, jr. monte shelton | porsche 935 | brian fuerstenau bob tullius | jaguar xjs | | 5 | 6 | august 13 | brainerd | jerry hansen | chevrolet monza | bob tullius | jaguar xjs | | 6 | 7 | august 19 | mosport | greg pickett | chevrolet corvette | bob tullius | jaguar xjs | | 7 | 8 | september 4 | road america | greg pickett | chevrolet corvette | bob tullius | jaguar xjs | | 8 | 9 | october 8 | laguna seca | greg pickett | chevrolet corvette | bob tullius | jaguar xjs | | 9 | 10 | november 5 | mexico city | ludwig heimrath | porsche 935 | bob tullius | jaguar xjs |

| | max ( "date" ) | |---:|:-----------------| | 0 | october 8 |

select team 1 - team 2 where 1st leg = '0-1' col : team 1 | agg. | team 2 | 1st leg | 2nd leg row 1 : benfica | 3-2 | paris saint-germain | 2-1 | 1-1 row 2 : dynamo kyiv | 2-1 | manchester city | 2-0 | 0-1 row 3 : twente | 3-2 | zenit saint petersburg | 3-0 | 0-2 row 4 : cska moscow | 1-3 | porto | 0-1 | 1-2 row 5 : psv eindhoven | 1-0 | rangers | 0-0 | 1-0 row 6 : bayer leverkusen | 3-5 | villarreal | 2-3 | 1-2 row 7 : ajax | 0-4 | spartak moscow | 0-1 | 0-3 row 8 : braga | 1-08 | liverpool | 1-0 | 0-0

col : "team 1 - team 2" row 1 : team 1 - team 2 row 2 : team 1 - team 2

select team 1 - team 2 where 1st leg = '0-1' <table_name> : table \begin{tabular}{llllll} \toprule & team 1 & agg. & team 2 & 1st leg & 2nd leg \\ \midrule 0 & benfica & 3-2 & paris saint-germain & 2-1 & 1-1 \\ 1 & dynamo kyiv & 2-1 & manchester city & 2-0 & 0-1 \\ 2 & twente & 3-2 & zenit saint petersburg & 3-0 & 0-2 \\ 3 & cska moscow & 1-3 & porto & 0-1 & 1-2 \\ 4 & psv eindhoven & 1-0 & rangers & 0-0 & 1-0 \\ 5 & bayer leverkusen & 3-5 & villarreal & 2-3 & 1-2 \\ 6 & ajax & 0-4 & spartak moscow & 0-1 & 0-3 \\ 7 & braga & 1-08 & liverpool & 1-0 & 0-0 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & "team 1 - team 2" \\ \midrule 0 & team 1 - team 2 \\ 1 & team 1 - team 2 \\ \bottomrule \end{tabular}

select team 1 - team 2 where 1st leg = '0-1' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>team 1</th> <th>agg.</th> <th>team 2</th> <th>1st leg</th> <th>2nd leg</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>benfica</td> <td>3-2</td> <td>paris saint-germain</td> <td>2-1</td> <td>1-1</td> </tr> <tr> <th>1</th> <td>dynamo kyiv</td> <td>2-1</td> <td>manchester city</td> <td>2-0</td> <td>0-1</td> </tr> <tr> <th>2</th> <td>twente</td> <td>3-2</td> <td>zenit saint petersburg</td> <td>3-0</td> <td>0-2</td> </tr> <tr> <th>3</th> <td>cska moscow</td> <td>1-3</td> <td>porto</td> <td>0-1</td> <td>1-2</td> </tr> <tr> <th>4</th> <td>psv eindhoven</td> <td>1-0</td> <td>rangers</td> <td>0-0</td> <td>1-0</td> </tr> <tr> <th>5</th> <td>bayer leverkusen</td> <td>3-5</td> <td>villarreal</td> <td>2-3</td> <td>1-2</td> </tr> <tr> <th>6</th> <td>ajax</td> <td>0-4</td> <td>spartak moscow</td> <td>0-1</td> <td>0-3</td> </tr> <tr> <th>7</th> <td>braga</td> <td>1-08</td> <td>liverpool</td> <td>1-0</td> <td>0-0</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>"team 1 - team 2"</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>team 1 - team 2</td> </tr> <tr> <th>1</th> <td>team 1 - team 2</td> </tr> </tbody> </table>

select team 1 - team 2 where 1st leg = '0-1' <table_name> : table | | team 1 | agg. | team 2 | 1st leg | 2nd leg | |---:|:-----------------|:-------|:-----------------------|:----------|:----------| | 0 | benfica | 3-2 | paris saint-germain | 2-1 | 1-1 | | 1 | dynamo kyiv | 2-1 | manchester city | 2-0 | 0-1 | | 2 | twente | 3-2 | zenit saint petersburg | 3-0 | 0-2 | | 3 | cska moscow | 1-3 | porto | 0-1 | 1-2 | | 4 | psv eindhoven | 1-0 | rangers | 0-0 | 1-0 | | 5 | bayer leverkusen | 3-5 | villarreal | 2-3 | 1-2 | | 6 | ajax | 0-4 | spartak moscow | 0-1 | 0-3 | | 7 | braga | 1-08 | liverpool | 1-0 | 0-0 |

| | "team 1 - team 2" | |---:|:--------------------| | 0 | team 1 - team 2 | | 1 | team 1 - team 2 |

select attendance where site = 'memorial stadium • lincoln, ne' col : date | time | opponent# | rank# | site | tv | result | attendance row 1 : september 1 | 2:30 pm | nevada | #19 | memorial stadium • lincoln, ne | abc | w 52-10 | 84078 row 2 : september 8 | 11:00 am | at wake forest | #17 | bb&t field • winston-salem, nc | espn | w 20-17 | 32483 row 3 : september 15 | 7:00 pm | #1 usc | #14 | memorial stadium • lincoln, ne | abc | l 31-49 | 84959 row 4 : september 22 | 11:30 am | ball state | #22 | memorial stadium • lincoln, ne | fsn ppv | w 41-40 | 84294 row 5 : september 29 | 1:05 pm | iowa state | #22 | memorial stadium • lincoln, ne | none | w 35-17 | 84703 row 6 : october 6 | 8:15 pm | at #17 missouri | #23 | faurot field • columbia, mo (rivalry) | espn | l 6-41 | 70049 row 7 : october 13 | 11:30 am | oklahoma state | none | memorial stadium • lincoln, ne | ppv | l 14-45 | 84334 row 8 : october 20 | 1:05 pm | texas a&m | none | memorial stadium • lincoln, ne | none | l 14-36 | 84473 row 9 : october 27 | 2:30 pm | at #16 texas | none | darrell k royal-texas memorial stadium • austin, tx | abc | l 25-28 | 85968 row 10 : november 3 | 11:30 am | at #8 kansas | none | memorial stadium • lawrence, ks | fsn | l 39-76 | 51910 row 11 : november 10 | 11:30 am | kansas state | none | memorial stadium • lincoln, ne | versus | w 73-31 | 84665 row 12 : november 23 | 11:00 am | at colorado | none | folsom field • boulder, co (rivalry) | abc | l 51-65 | 51403

col : attendance row 1 : 84078 row 2 : 84959 row 3 : 84294 row 4 : 84703 row 5 : 84334 row 6 : 84473 row 7 : 84665

select attendance where site = 'memorial stadium • lincoln, ne' <table_name> : table \begin{tabular}{lllllllll} \toprule & date & time & opponent# & rank# & site & tv & result & attendance \\ \midrule 0 & september 1 & 2:30 pm & nevada & #19 & memorial stadium • lincoln, ne & abc & w 52-10 & 84078 \\ 1 & september 8 & 11:00 am & at wake forest & #17 & bb&t field • winston-salem, nc & espn & w 20-17 & 32483 \\ 2 & september 15 & 7:00 pm & #1 usc & #14 & memorial stadium • lincoln, ne & abc & l 31-49 & 84959 \\ 3 & september 22 & 11:30 am & ball state & #22 & memorial stadium • lincoln, ne & fsn ppv & w 41-40 & 84294 \\ 4 & september 29 & 1:05 pm & iowa state & #22 & memorial stadium • lincoln, ne & none & w 35-17 & 84703 \\ 5 & october 6 & 8:15 pm & at #17 missouri & #23 & faurot field • columbia, mo (rivalry) & espn & l 6-41 & 70049 \\ 6 & october 13 & 11:30 am & oklahoma state & none & memorial stadium • lincoln, ne & ppv & l 14-45 & 84334 \\ 7 & october 20 & 1:05 pm & texas a&m & none & memorial stadium • lincoln, ne & none & l 14-36 & 84473 \\ 8 & october 27 & 2:30 pm & at #16 texas & none & darrell k royal-texas memorial stadium • austin, tx & abc & l 25-28 & 85968 \\ 9 & november 3 & 11:30 am & at #8 kansas & none & memorial stadium • lawrence, ks & fsn & l 39-76 & 51910 \\ 10 & november 10 & 11:30 am & kansas state & none & memorial stadium • lincoln, ne & versus & w 73-31 & 84665 \\ 11 & november 23 & 11:00 am & at colorado & none & folsom field • boulder, co (rivalry) & abc & l 51-65 & 51403 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & attendance \\ \midrule 0 & 84078 \\ 1 & 84959 \\ 2 & 84294 \\ 3 & 84703 \\ 4 & 84334 \\ 5 & 84473 \\ 6 & 84665 \\ \bottomrule \end{tabular}

select attendance where site = 'memorial stadium • lincoln, ne' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>date</th> <th>time</th> <th>opponent#</th> <th>rank#</th> <th>site</th> <th>tv</th> <th>result</th> <th>attendance</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>september 1</td> <td>2:30 pm</td> <td>nevada</td> <td>#19</td> <td>memorial stadium • lincoln, ne</td> <td>abc</td> <td>w 52-10</td> <td>84078</td> </tr> <tr> <th>1</th> <td>september 8</td> <td>11:00 am</td> <td>at wake forest</td> <td>#17</td> <td>bb&amp;t field • winston-salem, nc</td> <td>espn</td> <td>w 20-17</td> <td>32483</td> </tr> <tr> <th>2</th> <td>september 15</td> <td>7:00 pm</td> <td>#1 usc</td> <td>#14</td> <td>memorial stadium • lincoln, ne</td> <td>abc</td> <td>l 31-49</td> <td>84959</td> </tr> <tr> <th>3</th> <td>september 22</td> <td>11:30 am</td> <td>ball state</td> <td>#22</td> <td>memorial stadium • lincoln, ne</td> <td>fsn ppv</td> <td>w 41-40</td> <td>84294</td> </tr> <tr> <th>4</th> <td>september 29</td> <td>1:05 pm</td> <td>iowa state</td> <td>#22</td> <td>memorial stadium • lincoln, ne</td> <td>none</td> <td>w 35-17</td> <td>84703</td> </tr> <tr> <th>5</th> <td>october 6</td> <td>8:15 pm</td> <td>at #17 missouri</td> <td>#23</td> <td>faurot field • columbia, mo (rivalry)</td> <td>espn</td> <td>l 6-41</td> <td>70049</td> </tr> <tr> <th>6</th> <td>october 13</td> <td>11:30 am</td> <td>oklahoma state</td> <td>none</td> <td>memorial stadium • lincoln, ne</td> <td>ppv</td> <td>l 14-45</td> <td>84334</td> </tr> <tr> <th>7</th> <td>october 20</td> <td>1:05 pm</td> <td>texas a&amp;m</td> <td>none</td> <td>memorial stadium • lincoln, ne</td> <td>none</td> <td>l 14-36</td> <td>84473</td> </tr> <tr> <th>8</th> <td>october 27</td> <td>2:30 pm</td> <td>at #16 texas</td> <td>none</td> <td>darrell k royal-texas memorial stadium • austin, tx</td> <td>abc</td> <td>l 25-28</td> <td>85968</td> </tr> <tr> <th>9</th> <td>november 3</td> <td>11:30 am</td> <td>at #8 kansas</td> <td>none</td> <td>memorial stadium • lawrence, ks</td> <td>fsn</td> <td>l 39-76</td> <td>51910</td> </tr> <tr> <th>10</th> <td>november 10</td> <td>11:30 am</td> <td>kansas state</td> <td>none</td> <td>memorial stadium • lincoln, ne</td> <td>versus</td> <td>w 73-31</td> <td>84665</td> </tr> <tr> <th>11</th> <td>november 23</td> <td>11:00 am</td> <td>at colorado</td> <td>none</td> <td>folsom field • boulder, co (rivalry)</td> <td>abc</td> <td>l 51-65</td> <td>51403</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>attendance</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>84078</td> </tr> <tr> <th>1</th> <td>84959</td> </tr> <tr> <th>2</th> <td>84294</td> </tr> <tr> <th>3</th> <td>84703</td> </tr> <tr> <th>4</th> <td>84334</td> </tr> <tr> <th>5</th> <td>84473</td> </tr> <tr> <th>6</th> <td>84665</td> </tr> </tbody> </table>

select attendance where site = 'memorial stadium • lincoln, ne' <table_name> : table | | date | time | opponent# | rank# | site | tv | result | attendance | |---:|:-------------|:---------|:----------------|:--------|:----------------------------------------------------|:--------|:---------|-------------:| | 0 | september 1 | 2:30 pm | nevada | #19 | memorial stadium • lincoln, ne | abc | w 52-10 | 84078 | | 1 | september 8 | 11:00 am | at wake forest | #17 | bb&t field • winston-salem, nc | espn | w 20-17 | 32483 | | 2 | september 15 | 7:00 pm | #1 usc | #14 | memorial stadium • lincoln, ne | abc | l 31-49 | 84959 | | 3 | september 22 | 11:30 am | ball state | #22 | memorial stadium • lincoln, ne | fsn ppv | w 41-40 | 84294 | | 4 | september 29 | 1:05 pm | iowa state | #22 | memorial stadium • lincoln, ne | none | w 35-17 | 84703 | | 5 | october 6 | 8:15 pm | at #17 missouri | #23 | faurot field • columbia, mo (rivalry) | espn | l 6-41 | 70049 | | 6 | october 13 | 11:30 am | oklahoma state | none | memorial stadium • lincoln, ne | ppv | l 14-45 | 84334 | | 7 | october 20 | 1:05 pm | texas a&m | none | memorial stadium • lincoln, ne | none | l 14-36 | 84473 | | 8 | october 27 | 2:30 pm | at #16 texas | none | darrell k royal-texas memorial stadium • austin, tx | abc | l 25-28 | 85968 | | 9 | november 3 | 11:30 am | at #8 kansas | none | memorial stadium • lawrence, ks | fsn | l 39-76 | 51910 | | 10 | november 10 | 11:30 am | kansas state | none | memorial stadium • lincoln, ne | versus | w 73-31 | 84665 | | 11 | november 23 | 11:00 am | at colorado | none | folsom field • boulder, co (rivalry) | abc | l 51-65 | 51403 |

| | attendance | |---:|-------------:| | 0 | 84078 | | 1 | 84959 | | 2 | 84294 | | 3 | 84703 | | 4 | 84334 | | 5 | 84473 | | 6 | 84665 |

select rider where rider = 'cristian moreni (ita)' col : rank | rider | team | points row 1 : 1 | robbie mcewen (aus) | davitamon-lotto | 288 row 2 : 2 | erik zabel (ger) | team milram | 199 row 3 : 3 | thor hushovd (nor) | credit agricole | 195 row 4 : 4 | bernhard eisel (aut) | francaise des jeux | 176 row 5 : 5 | luca paolini (ita) | liquigas | 174 row 6 : 6 | inaki isasi (esp) | euskaltel-euskadi | 130 row 7 : 7 | francisco ventoso (esp) | saunier duval-prodir | 128 row 8 : 8 | cristian moreni (ita) | cofidis | 116 row 9 : 9 | jimmy casper (fra) | cofidis | 98 row 10 : 10 | oscar pereiro (esp) | caisse d'epargne-illes balears | 88

col : rider row 1 : cristian moreni (ita)

select rider where rider = 'cristian moreni (ita)' <table_name> : table \begin{tabular}{lllll} \toprule & rank & rider & team & points \\ \midrule 0 & 1 & robbie mcewen (aus) & davitamon-lotto & 288 \\ 1 & 2 & erik zabel (ger) & team milram & 199 \\ 2 & 3 & thor hushovd (nor) & credit agricole & 195 \\ 3 & 4 & bernhard eisel (aut) & francaise des jeux & 176 \\ 4 & 5 & luca paolini (ita) & liquigas & 174 \\ 5 & 6 & inaki isasi (esp) & euskaltel-euskadi & 130 \\ 6 & 7 & francisco ventoso (esp) & saunier duval-prodir & 128 \\ 7 & 8 & cristian moreni (ita) & cofidis & 116 \\ 8 & 9 & jimmy casper (fra) & cofidis & 98 \\ 9 & 10 & oscar pereiro (esp) & caisse d'epargne-illes balears & 88 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & rider \\ \midrule 0 & cristian moreni (ita) \\ \bottomrule \end{tabular}

select rider where rider = 'cristian moreni (ita)' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>rank</th> <th>rider</th> <th>team</th> <th>points</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>robbie mcewen (aus)</td> <td>davitamon-lotto</td> <td>288</td> </tr> <tr> <th>1</th> <td>2</td> <td>erik zabel (ger)</td> <td>team milram</td> <td>199</td> </tr> <tr> <th>2</th> <td>3</td> <td>thor hushovd (nor)</td> <td>credit agricole</td> <td>195</td> </tr> <tr> <th>3</th> <td>4</td> <td>bernhard eisel (aut)</td> <td>francaise des jeux</td> <td>176</td> </tr> <tr> <th>4</th> <td>5</td> <td>luca paolini (ita)</td> <td>liquigas</td> <td>174</td> </tr> <tr> <th>5</th> <td>6</td> <td>inaki isasi (esp)</td> <td>euskaltel-euskadi</td> <td>130</td> </tr> <tr> <th>6</th> <td>7</td> <td>francisco ventoso (esp)</td> <td>saunier duval-prodir</td> <td>128</td> </tr> <tr> <th>7</th> <td>8</td> <td>cristian moreni (ita)</td> <td>cofidis</td> <td>116</td> </tr> <tr> <th>8</th> <td>9</td> <td>jimmy casper (fra)</td> <td>cofidis</td> <td>98</td> </tr> <tr> <th>9</th> <td>10</td> <td>oscar pereiro (esp)</td> <td>caisse d'epargne-illes balears</td> <td>88</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>rider</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>cristian moreni (ita)</td> </tr> </tbody> </table>

select rider where rider = 'cristian moreni (ita)' <table_name> : table | | rank | rider | team | points | |---:|-------:|:------------------------|:-------------------------------|---------:| | 0 | 1 | robbie mcewen (aus) | davitamon-lotto | 288 | | 1 | 2 | erik zabel (ger) | team milram | 199 | | 2 | 3 | thor hushovd (nor) | credit agricole | 195 | | 3 | 4 | bernhard eisel (aut) | francaise des jeux | 176 | | 4 | 5 | luca paolini (ita) | liquigas | 174 | | 5 | 6 | inaki isasi (esp) | euskaltel-euskadi | 130 | | 6 | 7 | francisco ventoso (esp) | saunier duval-prodir | 128 | | 7 | 8 | cristian moreni (ita) | cofidis | 116 | | 8 | 9 | jimmy casper (fra) | cofidis | 98 | | 9 | 10 | oscar pereiro (esp) | caisse d'epargne-illes balears | 88 |

| | rider | |---:|:----------------------| | 0 | cristian moreni (ita) |

select count ( rider ) where total points > 1341 col : pos. | rider | semi-final points | final points | final heats | total points row 1 : 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 row 2 : 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 row 3 : 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 row 4 : 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 row 5 : 5 | ginger lees | 10 | 9 | (1,1,2,2,3) | 19 row 6 : 6 | frank charles | 10 | 7 | (0,0,1,3,3) | 17 row 7 : 7 | lionel van praag | 11 | 6 | (3,0,-,3,0) | 17 row 8 : 8 | bill kitchen | 7 | 9 | (1,2,2,2,2) | 16 row 9 : 9 | george newton | 11 | 5 | (3,0,0,0,2) | 16 row 10 : 10 | eric langton | 12 | 4 | (1,0,0,3,0) | 16 row 11 : 11 | morian hansen | 7 | 8 | (1,2,3,1,1) | 15 row 12 : 12 | eric chitty | 11 | 4 | (0,2,0,1,1) | 15 row 13 : 13 | joe abbott | 8 | 6 | (2,1,1,2,0) | 14 row 14 : 14 | arthur atkinson | 8 | 6 | (2,0,2,1,1) | 14 row 15 : 15 | frank varey | 8 | 3 | (0,1,1,0,1) | 11 row 16 : 16 | tommy croombs | 6 | 2 | (0,2,0,0,0) | 8 row 17 : 17 | bob harrison | 7 | none | none | 7 row 18 : 18 | alec statham | 6 | 0 | (0) | 6

col : count ( "rider" ) row 1 : 17

select count ( rider ) where total points > 1341 <table_name> : table \begin{tabular}{lllllll} \toprule & pos. & rider & semi-final points & final points & final heats & total points \\ \midrule 0 & 1 & jack milne & 13 & 15 & (3,3,3,3,3) & 28 \\ 1 & 2 & wilbur lamoreaux & 12 & 13 & (3,3,3,1,3) & 25 \\ 2 & 3 & cordy milne & 11 & 12 & (2,3,2,3,2) & 23 \\ 3 & 4 & jack parker & 11 & 10 & (2,3,1,2,2) & 21 \\ 4 & 5 & ginger lees & 10 & 9 & (1,1,2,2,3) & 19 \\ 5 & 6 & frank charles & 10 & 7 & (0,0,1,3,3) & 17 \\ 6 & 7 & lionel van praag & 11 & 6 & (3,0,-,3,0) & 17 \\ 7 & 8 & bill kitchen & 7 & 9 & (1,2,2,2,2) & 16 \\ 8 & 9 & george newton & 11 & 5 & (3,0,0,0,2) & 16 \\ 9 & 10 & eric langton & 12 & 4 & (1,0,0,3,0) & 16 \\ 10 & 11 & morian hansen & 7 & 8 & (1,2,3,1,1) & 15 \\ 11 & 12 & eric chitty & 11 & 4 & (0,2,0,1,1) & 15 \\ 12 & 13 & joe abbott & 8 & 6 & (2,1,1,2,0) & 14 \\ 13 & 14 & arthur atkinson & 8 & 6 & (2,0,2,1,1) & 14 \\ 14 & 15 & frank varey & 8 & 3 & (0,1,1,0,1) & 11 \\ 15 & 16 & tommy croombs & 6 & 2 & (0,2,0,0,0) & 8 \\ 16 & 17 & bob harrison & 7 & none & none & 7 \\ 17 & 18 & alec statham & 6 & 0 & (0) & 6 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "rider" ) \\ \midrule 0 & 17 \\ \bottomrule \end{tabular}

select count ( rider ) where total points > 1341 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>pos.</th> <th>rider</th> <th>semi-final points</th> <th>final points</th> <th>final heats</th> <th>total points</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>jack milne</td> <td>13</td> <td>15</td> <td>(3,3,3,3,3)</td> <td>28</td> </tr> <tr> <th>1</th> <td>2</td> <td>wilbur lamoreaux</td> <td>12</td> <td>13</td> <td>(3,3,3,1,3)</td> <td>25</td> </tr> <tr> <th>2</th> <td>3</td> <td>cordy milne</td> <td>11</td> <td>12</td> <td>(2,3,2,3,2)</td> <td>23</td> </tr> <tr> <th>3</th> <td>4</td> <td>jack parker</td> <td>11</td> <td>10</td> <td>(2,3,1,2,2)</td> <td>21</td> </tr> <tr> <th>4</th> <td>5</td> <td>ginger lees</td> <td>10</td> <td>9</td> <td>(1,1,2,2,3)</td> <td>19</td> </tr> <tr> <th>5</th> <td>6</td> <td>frank charles</td> <td>10</td> <td>7</td> <td>(0,0,1,3,3)</td> <td>17</td> </tr> <tr> <th>6</th> <td>7</td> <td>lionel van praag</td> <td>11</td> <td>6</td> <td>(3,0,-,3,0)</td> <td>17</td> </tr> <tr> <th>7</th> <td>8</td> <td>bill kitchen</td> <td>7</td> <td>9</td> <td>(1,2,2,2,2)</td> <td>16</td> </tr> <tr> <th>8</th> <td>9</td> <td>george newton</td> <td>11</td> <td>5</td> <td>(3,0,0,0,2)</td> <td>16</td> </tr> <tr> <th>9</th> <td>10</td> <td>eric langton</td> <td>12</td> <td>4</td> <td>(1,0,0,3,0)</td> <td>16</td> </tr> <tr> <th>10</th> <td>11</td> <td>morian hansen</td> <td>7</td> <td>8</td> <td>(1,2,3,1,1)</td> <td>15</td> </tr> <tr> <th>11</th> <td>12</td> <td>eric chitty</td> <td>11</td> <td>4</td> <td>(0,2,0,1,1)</td> <td>15</td> </tr> <tr> <th>12</th> <td>13</td> <td>joe abbott</td> <td>8</td> <td>6</td> <td>(2,1,1,2,0)</td> <td>14</td> </tr> <tr> <th>13</th> <td>14</td> <td>arthur atkinson</td> <td>8</td> <td>6</td> <td>(2,0,2,1,1)</td> <td>14</td> </tr> <tr> <th>14</th> <td>15</td> <td>frank varey</td> <td>8</td> <td>3</td> <td>(0,1,1,0,1)</td> <td>11</td> </tr> <tr> <th>15</th> <td>16</td> <td>tommy croombs</td> <td>6</td> <td>2</td> <td>(0,2,0,0,0)</td> <td>8</td> </tr> <tr> <th>16</th> <td>17</td> <td>bob harrison</td> <td>7</td> <td>none</td> <td>none</td> <td>7</td> </tr> <tr> <th>17</th> <td>18</td> <td>alec statham</td> <td>6</td> <td>0</td> <td>(0)</td> <td>6</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "rider" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>17</td> </tr> </tbody> </table>

select count ( rider ) where total points > 1341 <table_name> : table | | pos. | rider | semi-final points | final points | final heats | total points | |---:|-------:|:-----------------|--------------------:|:---------------|:--------------|---------------:| | 0 | 1 | jack milne | 13 | 15 | (3,3,3,3,3) | 28 | | 1 | 2 | wilbur lamoreaux | 12 | 13 | (3,3,3,1,3) | 25 | | 2 | 3 | cordy milne | 11 | 12 | (2,3,2,3,2) | 23 | | 3 | 4 | jack parker | 11 | 10 | (2,3,1,2,2) | 21 | | 4 | 5 | ginger lees | 10 | 9 | (1,1,2,2,3) | 19 | | 5 | 6 | frank charles | 10 | 7 | (0,0,1,3,3) | 17 | | 6 | 7 | lionel van praag | 11 | 6 | (3,0,-,3,0) | 17 | | 7 | 8 | bill kitchen | 7 | 9 | (1,2,2,2,2) | 16 | | 8 | 9 | george newton | 11 | 5 | (3,0,0,0,2) | 16 | | 9 | 10 | eric langton | 12 | 4 | (1,0,0,3,0) | 16 | | 10 | 11 | morian hansen | 7 | 8 | (1,2,3,1,1) | 15 | | 11 | 12 | eric chitty | 11 | 4 | (0,2,0,1,1) | 15 | | 12 | 13 | joe abbott | 8 | 6 | (2,1,1,2,0) | 14 | | 13 | 14 | arthur atkinson | 8 | 6 | (2,0,2,1,1) | 14 | | 14 | 15 | frank varey | 8 | 3 | (0,1,1,0,1) | 11 | | 15 | 16 | tommy croombs | 6 | 2 | (0,2,0,0,0) | 8 | | 16 | 17 | bob harrison | 7 | none | none | 7 | | 17 | 18 | alec statham | 6 | 0 | (0) | 6 |

| | count ( "rider" ) | |---:|--------------------:| | 0 | 17 |

select count ( * ) where title = 535 col : no. in series | no. in season | title | directed by | written by | original air date row 1 : 1 | 1 | "dream house / ufo encounter" | allan kroeker | will dixon / james nadler | september 28, 1996 row 2 : 2 | 2 | "possession / man out of time" | john bell / allan kroeker | james nadler / larry raskin | october 5, 1996 row 3 : 3 | 3 | "reptilian revenge / ghostly voices" | giles walker / allan kroeker | will dixon / richard oleksiak | october 12, 1996 row 4 : 4 | 4 | "creeping darkness / power" | john bell / allan kroeker | david preston / gerald wexler | october 19, 1996 row 5 : 5 | 5 | "free fall / presence" | milan cheylov / john bell | larry raskin / ian weir | october 26, 1996 row 6 : 6 | 6 | "the infestation / human apportation" | giles walker / john bell | damian kindler / denise fordham | november 2, 1996 row 7 : 7 | 7 | "the underneath / phantom limb" | milan cheylov / allan kroeker | robert c. cooper / sherman snukal | november 9, 1996 row 8 : 8 | 8 | "the transient / two lost old men" | giles walker | damian kindler / ian weir | november 16, 1996 row 9 : 9 | 9 | "ufo duplication / clara's friend" | marc voizard | robert c. cooper / will dixon | november 23, 1996 row 10 : 10 | 10 | "the hunter / the healer" | john bell | damian kindler / larry raskin | november 30, 1996 row 11 : 11 | 11 | "the curse / angel on a plane" | marc voizard / ken girotti | will dixon / ian weir | january 18, 1997 row 12 : 12 | 12 | "anasazi cave / devil's triangle" | marc voizard / ken girotti | sherman snukal / damian kindler | january 25, 1997 row 13 : 13 | 13 | "the undead / the stalker" | clay boris | will dixon / alex pugsley | february 1, 1997 row 14 : 14 | 14 | "the forbidden north / reincarnation" | ken girotti | damian kindler / peter aykroyd | february 8, 1997 row 15 : 15 | 15 | "the greenhouse effect / the buzz" | clay boris | damian kindler / sherman snukal | february 15, 1997 row 16 : 16 | 16 | "the light" | milan cheylov | will dixon | february 22, 1997 row 17 : 17 | 17 | "the 13th floor / the believer" | clay boris / craig pryce | jean hurtubise / damian kindler | april 12, 1997 row 18 : 18 | 18 | "the fog / house on garden street" | clay boris | robert c. cooper / chris dickie | april 19, 1997 row 19 : 19 | 19 | "second sight / chocolate soldier" | milan cheylov | sherman snukal / will dixon | april 26, 1997 row 20 : 20 | 20 | "fire within / fate" | aaron schuster | richard oleksiak / damian kindler | may 3, 1997 row 21 : 21 | 21 | "death at sunset / collision" | ross clyde | jeremy hole / sherman snukal | may 10, 1997 row 22 : 22 | 22 | "perestroika" | giles walker | will dixon | may 17, 1997

col : count ( "*" ) row 1 : 0

select count ( * ) where title = 535 <table_name> : table \begin{tabular}{lllllll} \toprule & no. in series & no. in season & title & directed by & written by & original air date \\ \midrule 0 & 1 & 1 & "dream house / ufo encounter" & allan kroeker & will dixon / james nadler & september 28, 1996 \\ 1 & 2 & 2 & "possession / man out of time" & john bell / allan kroeker & james nadler / larry raskin & october 5, 1996 \\ 2 & 3 & 3 & "reptilian revenge / ghostly voices" & giles walker / allan kroeker & will dixon / richard oleksiak & october 12, 1996 \\ 3 & 4 & 4 & "creeping darkness / power" & john bell / allan kroeker & david preston / gerald wexler & october 19, 1996 \\ 4 & 5 & 5 & "free fall / presence" & milan cheylov / john bell & larry raskin / ian weir & october 26, 1996 \\ 5 & 6 & 6 & "the infestation / human apportation" & giles walker / john bell & damian kindler / denise fordham & november 2, 1996 \\ 6 & 7 & 7 & "the underneath / phantom limb" & milan cheylov / allan kroeker & robert c. cooper / sherman snukal & november 9, 1996 \\ 7 & 8 & 8 & "the transient / two lost old men" & giles walker & damian kindler / ian weir & november 16, 1996 \\ 8 & 9 & 9 & "ufo duplication / clara's friend" & marc voizard & robert c. cooper / will dixon & november 23, 1996 \\ 9 & 10 & 10 & "the hunter / the healer" & john bell & damian kindler / larry raskin & november 30, 1996 \\ 10 & 11 & 11 & "the curse / angel on a plane" & marc voizard / ken girotti & will dixon / ian weir & january 18, 1997 \\ 11 & 12 & 12 & "anasazi cave / devil's triangle" & marc voizard / ken girotti & sherman snukal / damian kindler & january 25, 1997 \\ 12 & 13 & 13 & "the undead / the stalker" & clay boris & will dixon / alex pugsley & february 1, 1997 \\ 13 & 14 & 14 & "the forbidden north / reincarnation" & ken girotti & damian kindler / peter aykroyd & february 8, 1997 \\ 14 & 15 & 15 & "the greenhouse effect / the buzz" & clay boris & damian kindler / sherman snukal & february 15, 1997 \\ 15 & 16 & 16 & "the light" & milan cheylov & will dixon & february 22, 1997 \\ 16 & 17 & 17 & "the 13th floor / the believer" & clay boris / craig pryce & jean hurtubise / damian kindler & april 12, 1997 \\ 17 & 18 & 18 & "the fog / house on garden street" & clay boris & robert c. cooper / chris dickie & april 19, 1997 \\ 18 & 19 & 19 & "second sight / chocolate soldier" & milan cheylov & sherman snukal / will dixon & april 26, 1997 \\ 19 & 20 & 20 & "fire within / fate" & aaron schuster & richard oleksiak / damian kindler & may 3, 1997 \\ 20 & 21 & 21 & "death at sunset / collision" & ross clyde & jeremy hole / sherman snukal & may 10, 1997 \\ 21 & 22 & 22 & "perestroika" & giles walker & will dixon & may 17, 1997 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 0 \\ \bottomrule \end{tabular}

select count ( * ) where title = 535 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>no. in series</th> <th>no. in season</th> <th>title</th> <th>directed by</th> <th>written by</th> <th>original air date</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>1</td> <td>"dream house / ufo encounter"</td> <td>allan kroeker</td> <td>will dixon / james nadler</td> <td>september 28, 1996</td> </tr> <tr> <th>1</th> <td>2</td> <td>2</td> <td>"possession / man out of time"</td> <td>john bell / allan kroeker</td> <td>james nadler / larry raskin</td> <td>october 5, 1996</td> </tr> <tr> <th>2</th> <td>3</td> <td>3</td> <td>"reptilian revenge / ghostly voices"</td> <td>giles walker / allan kroeker</td> <td>will dixon / richard oleksiak</td> <td>october 12, 1996</td> </tr> <tr> <th>3</th> <td>4</td> <td>4</td> <td>"creeping darkness / power"</td> <td>john bell / allan kroeker</td> <td>david preston / gerald wexler</td> <td>october 19, 1996</td> </tr> <tr> <th>4</th> <td>5</td> <td>5</td> <td>"free fall / presence"</td> <td>milan cheylov / john bell</td> <td>larry raskin / ian weir</td> <td>october 26, 1996</td> </tr> <tr> <th>5</th> <td>6</td> <td>6</td> <td>"the infestation / human apportation"</td> <td>giles walker / john bell</td> <td>damian kindler / denise fordham</td> <td>november 2, 1996</td> </tr> <tr> <th>6</th> <td>7</td> <td>7</td> <td>"the underneath / phantom limb"</td> <td>milan cheylov / allan kroeker</td> <td>robert c. cooper / sherman snukal</td> <td>november 9, 1996</td> </tr> <tr> <th>7</th> <td>8</td> <td>8</td> <td>"the transient / two lost old men"</td> <td>giles walker</td> <td>damian kindler / ian weir</td> <td>november 16, 1996</td> </tr> <tr> <th>8</th> <td>9</td> <td>9</td> <td>"ufo duplication / clara's friend"</td> <td>marc voizard</td> <td>robert c. cooper / will dixon</td> <td>november 23, 1996</td> </tr> <tr> <th>9</th> <td>10</td> <td>10</td> <td>"the hunter / the healer"</td> <td>john bell</td> <td>damian kindler / larry raskin</td> <td>november 30, 1996</td> </tr> <tr> <th>10</th> <td>11</td> <td>11</td> <td>"the curse / angel on a plane"</td> <td>marc voizard / ken girotti</td> <td>will dixon / ian weir</td> <td>january 18, 1997</td> </tr> <tr> <th>11</th> <td>12</td> <td>12</td> <td>"anasazi cave / devil's triangle"</td> <td>marc voizard / ken girotti</td> <td>sherman snukal / damian kindler</td> <td>january 25, 1997</td> </tr> <tr> <th>12</th> <td>13</td> <td>13</td> <td>"the undead / the stalker"</td> <td>clay boris</td> <td>will dixon / alex pugsley</td> <td>february 1, 1997</td> </tr> <tr> <th>13</th> <td>14</td> <td>14</td> <td>"the forbidden north / reincarnation"</td> <td>ken girotti</td> <td>damian kindler / peter aykroyd</td> <td>february 8, 1997</td> </tr> <tr> <th>14</th> <td>15</td> <td>15</td> <td>"the greenhouse effect / the buzz"</td> <td>clay boris</td> <td>damian kindler / sherman snukal</td> <td>february 15, 1997</td> </tr> <tr> <th>15</th> <td>16</td> <td>16</td> <td>"the light"</td> <td>milan cheylov</td> <td>will dixon</td> <td>february 22, 1997</td> </tr> <tr> <th>16</th> <td>17</td> <td>17</td> <td>"the 13th floor / the believer"</td> <td>clay boris / craig pryce</td> <td>jean hurtubise / damian kindler</td> <td>april 12, 1997</td> </tr> <tr> <th>17</th> <td>18</td> <td>18</td> <td>"the fog / house on garden street"</td> <td>clay boris</td> <td>robert c. cooper / chris dickie</td> <td>april 19, 1997</td> </tr> <tr> <th>18</th> <td>19</td> <td>19</td> <td>"second sight / chocolate soldier"</td> <td>milan cheylov</td> <td>sherman snukal / will dixon</td> <td>april 26, 1997</td> </tr> <tr> <th>19</th> <td>20</td> <td>20</td> <td>"fire within / fate"</td> <td>aaron schuster</td> <td>richard oleksiak / damian kindler</td> <td>may 3, 1997</td> </tr> <tr> <th>20</th> <td>21</td> <td>21</td> <td>"death at sunset / collision"</td> <td>ross clyde</td> <td>jeremy hole / sherman snukal</td> <td>may 10, 1997</td> </tr> <tr> <th>21</th> <td>22</td> <td>22</td> <td>"perestroika"</td> <td>giles walker</td> <td>will dixon</td> <td>may 17, 1997</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 title = 535 <table_name> : table | | no. in series | no. in season | title | directed by | written by | original air date | |---:|----------------:|----------------:|:--------------------------------------|:------------------------------|:----------------------------------|:--------------------| | 0 | 1 | 1 | "dream house / ufo encounter" | allan kroeker | will dixon / james nadler | september 28, 1996 | | 1 | 2 | 2 | "possession / man out of time" | john bell / allan kroeker | james nadler / larry raskin | october 5, 1996 | | 2 | 3 | 3 | "reptilian revenge / ghostly voices" | giles walker / allan kroeker | will dixon / richard oleksiak | october 12, 1996 | | 3 | 4 | 4 | "creeping darkness / power" | john bell / allan kroeker | david preston / gerald wexler | october 19, 1996 | | 4 | 5 | 5 | "free fall / presence" | milan cheylov / john bell | larry raskin / ian weir | october 26, 1996 | | 5 | 6 | 6 | "the infestation / human apportation" | giles walker / john bell | damian kindler / denise fordham | november 2, 1996 | | 6 | 7 | 7 | "the underneath / phantom limb" | milan cheylov / allan kroeker | robert c. cooper / sherman snukal | november 9, 1996 | | 7 | 8 | 8 | "the transient / two lost old men" | giles walker | damian kindler / ian weir | november 16, 1996 | | 8 | 9 | 9 | "ufo duplication / clara's friend" | marc voizard | robert c. cooper / will dixon | november 23, 1996 | | 9 | 10 | 10 | "the hunter / the healer" | john bell | damian kindler / larry raskin | november 30, 1996 | | 10 | 11 | 11 | "the curse / angel on a plane" | marc voizard / ken girotti | will dixon / ian weir | january 18, 1997 | | 11 | 12 | 12 | "anasazi cave / devil's triangle" | marc voizard / ken girotti | sherman snukal / damian kindler | january 25, 1997 | | 12 | 13 | 13 | "the undead / the stalker" | clay boris | will dixon / alex pugsley | february 1, 1997 | | 13 | 14 | 14 | "the forbidden north / reincarnation" | ken girotti | damian kindler / peter aykroyd | february 8, 1997 | | 14 | 15 | 15 | "the greenhouse effect / the buzz" | clay boris | damian kindler / sherman snukal | february 15, 1997 | | 15 | 16 | 16 | "the light" | milan cheylov | will dixon | february 22, 1997 | | 16 | 17 | 17 | "the 13th floor / the believer" | clay boris / craig pryce | jean hurtubise / damian kindler | april 12, 1997 | | 17 | 18 | 18 | "the fog / house on garden street" | clay boris | robert c. cooper / chris dickie | april 19, 1997 | | 18 | 19 | 19 | "second sight / chocolate soldier" | milan cheylov | sherman snukal / will dixon | april 26, 1997 | | 19 | 20 | 20 | "fire within / fate" | aaron schuster | richard oleksiak / damian kindler | may 3, 1997 | | 20 | 21 | 21 | "death at sunset / collision" | ross clyde | jeremy hole / sherman snukal | may 10, 1997 | | 21 | 22 | 22 | "perestroika" | giles walker | will dixon | may 17, 1997 |

| | count ( "*" ) | |---:|----------------:| | 0 | 0 |

select name where location = 'netanya' group by name order by count ( * ) desc limit 1 col : kilometers | name | location | intersecting routes row 1 : 0.0 | netanya mall | netanya | petah tikva street, raziel road, herzl road row 2 : 0.6 | netanya interchange | netanya | highway 2 row 3 : 0.75 | harakevet road | netanya | entrance to netanya railway station row 4 : 1.45 | pinkas street | netanya | pinkas street row 5 : 2.2 | deganya road | netanya | deganya road row 6 : 2.8 | beit yitzhak | beit yitzhak | hasharon road row 7 : 3.8 | ganot hadar | ganot hadar | entrance to ganot hadar and nordiya row 8 : 4.3 | hasharon junction ("beit lid") | ganot hadar | highway 4 row 9 : 6.2 | rabin boulevard | kfar yona | entrance to kfar yona row 10 : 7.3 | begin boulevard | kfar yona | entrance to kfar yona row 11 : 7.7 | ha'atzmaut street | haniel | entrance to haniel row 12 : 9.3 | yanuv junction | yanuv | route 5613, entrance to yanuv row 13 : 10.0 | haerez way | tnuvot industrial zone | entrance to tnuvot and burgata row 14 : 12.0 | be'erotayim junction | hagor | entrance to be'erotayim and olesh, route 5614 toward qalansawe row 15 : 13.2 | nitzanei oz junction | nitzanei oz | route 5714, entrance to nitzanei oz and yad hana row 16 : 14.5 | nitzanei oz interchange | nitzanei oz | highway 6 row 17 : 15.0 | idf checkpoint | tulkarm | entrance to nitzanei shalom industrial zone

col : name row 1 : pinkas street

select name where location = 'netanya' group by name order by count ( * ) desc limit 1 <table_name> : table \begin{tabular}{lllll} \toprule & kilometers & name & location & intersecting routes \\ \midrule 0 & 0.0 & netanya mall & netanya & petah tikva street, raziel road, herzl road \\ 1 & 0.6 & netanya interchange & netanya & highway 2 \\ 2 & 0.75 & harakevet road & netanya & entrance to netanya railway station \\ 3 & 1.45 & pinkas street & netanya & pinkas street \\ 4 & 2.2 & deganya road & netanya & deganya road \\ 5 & 2.8 & beit yitzhak & beit yitzhak & hasharon road \\ 6 & 3.8 & ganot hadar & ganot hadar & entrance to ganot hadar and nordiya \\ 7 & 4.3 & hasharon junction ("beit lid") & ganot hadar & highway 4 \\ 8 & 6.2 & rabin boulevard & kfar yona & entrance to kfar yona \\ 9 & 7.3 & begin boulevard & kfar yona & entrance to kfar yona \\ 10 & 7.7 & ha'atzmaut street & haniel & entrance to haniel \\ 11 & 9.3 & yanuv junction & yanuv & route 5613, entrance to yanuv \\ 12 & 10.0 & haerez way & tnuvot industrial zone & entrance to tnuvot and burgata \\ 13 & 12.0 & be'erotayim junction & hagor & entrance to be'erotayim and olesh, route 5614 toward qalansawe \\ 14 & 13.2 & nitzanei oz junction & nitzanei oz & route 5714, entrance to nitzanei oz and yad hana \\ 15 & 14.5 & nitzanei oz interchange & nitzanei oz & highway 6 \\ 16 & 15.0 & idf checkpoint & tulkarm & entrance to nitzanei shalom industrial zone \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & name \\ \midrule 0 & pinkas street \\ \bottomrule \end{tabular}

select name where location = 'netanya' group by name order by count ( * ) desc limit 1 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>kilometers</th> <th>name</th> <th>location</th> <th>intersecting routes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>0.0</td> <td>netanya mall</td> <td>netanya</td> <td>petah tikva street, raziel road, herzl road</td> </tr> <tr> <th>1</th> <td>0.6</td> <td>netanya interchange</td> <td>netanya</td> <td>highway 2</td> </tr> <tr> <th>2</th> <td>0.75</td> <td>harakevet road</td> <td>netanya</td> <td>entrance to netanya railway station</td> </tr> <tr> <th>3</th> <td>1.45</td> <td>pinkas street</td> <td>netanya</td> <td>pinkas street</td> </tr> <tr> <th>4</th> <td>2.2</td> <td>deganya road</td> <td>netanya</td> <td>deganya road</td> </tr> <tr> <th>5</th> <td>2.8</td> <td>beit yitzhak</td> <td>beit yitzhak</td> <td>hasharon road</td> </tr> <tr> <th>6</th> <td>3.8</td> <td>ganot hadar</td> <td>ganot hadar</td> <td>entrance to ganot hadar and nordiya</td> </tr> <tr> <th>7</th> <td>4.3</td> <td>hasharon junction ("beit lid")</td> <td>ganot hadar</td> <td>highway 4</td> </tr> <tr> <th>8</th> <td>6.2</td> <td>rabin boulevard</td> <td>kfar yona</td> <td>entrance to kfar yona</td> </tr> <tr> <th>9</th> <td>7.3</td> <td>begin boulevard</td> <td>kfar yona</td> <td>entrance to kfar yona</td> </tr> <tr> <th>10</th> <td>7.7</td> <td>ha'atzmaut street</td> <td>haniel</td> <td>entrance to haniel</td> </tr> <tr> <th>11</th> <td>9.3</td> <td>yanuv junction</td> <td>yanuv</td> <td>route 5613, entrance to yanuv</td> </tr> <tr> <th>12</th> <td>10.0</td> <td>haerez way</td> <td>tnuvot industrial zone</td> <td>entrance to tnuvot and burgata</td> </tr> <tr> <th>13</th> <td>12.0</td> <td>be'erotayim junction</td> <td>hagor</td> <td>entrance to be'erotayim and olesh, route 5614 toward qalansawe</td> </tr> <tr> <th>14</th> <td>13.2</td> <td>nitzanei oz junction</td> <td>nitzanei oz</td> <td>route 5714, entrance to nitzanei oz and yad hana</td> </tr> <tr> <th>15</th> <td>14.5</td> <td>nitzanei oz interchange</td> <td>nitzanei oz</td> <td>highway 6</td> </tr> <tr> <th>16</th> <td>15.0</td> <td>idf checkpoint</td> <td>tulkarm</td> <td>entrance to nitzanei shalom industrial zone</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>pinkas street</td> </tr> </tbody> </table>

select name where location = 'netanya' group by name order by count ( * ) desc limit 1 <table_name> : table | | kilometers | name | location | intersecting routes | |---:|-------------:|:-------------------------------|:-----------------------|:---------------------------------------------------------------| | 0 | 0 | netanya mall | netanya | petah tikva street, raziel road, herzl road | | 1 | 0.6 | netanya interchange | netanya | highway 2 | | 2 | 0.75 | harakevet road | netanya | entrance to netanya railway station | | 3 | 1.45 | pinkas street | netanya | pinkas street | | 4 | 2.2 | deganya road | netanya | deganya road | | 5 | 2.8 | beit yitzhak | beit yitzhak | hasharon road | | 6 | 3.8 | ganot hadar | ganot hadar | entrance to ganot hadar and nordiya | | 7 | 4.3 | hasharon junction ("beit lid") | ganot hadar | highway 4 | | 8 | 6.2 | rabin boulevard | kfar yona | entrance to kfar yona | | 9 | 7.3 | begin boulevard | kfar yona | entrance to kfar yona | | 10 | 7.7 | ha'atzmaut street | haniel | entrance to haniel | | 11 | 9.3 | yanuv junction | yanuv | route 5613, entrance to yanuv | | 12 | 10 | haerez way | tnuvot industrial zone | entrance to tnuvot and burgata | | 13 | 12 | be'erotayim junction | hagor | entrance to be'erotayim and olesh, route 5614 toward qalansawe | | 14 | 13.2 | nitzanei oz junction | nitzanei oz | route 5714, entrance to nitzanei oz and yad hana | | 15 | 14.5 | nitzanei oz interchange | nitzanei oz | highway 6 | | 16 | 15 | idf checkpoint | tulkarm | entrance to nitzanei shalom industrial zone |

| | name | |---:|:--------------| | 0 | pinkas street |

select opponent where result = 'l 35-17' col : week | date | opponent | result | attendance row 1 : 1 | 1987-09-13 00:00:00 | san diego chargers | w 20-13 | 56940 row 2 : 2 | 1987-09-20 00:00:00 | at seattle seahawks | l 43-14 | 61667 row 3 : none | 1987-09-27 00:00:00 | minnesota vikings | canceled | none row 4 : 3 | 1987-10-04 00:00:00 | at los angeles raiders | l 35-17 | 10708 row 5 : 4 | 1987-10-11 00:00:00 | at miami dolphins | l 42-0 | 25867 row 6 : 5 | 1987-10-18 00:00:00 | denver broncos | l 26-17 | 20296 row 7 : 6 | 1987-10-25 00:00:00 | at san diego chargers | l 42-21 | 47972 row 8 : 7 | 1987-11-01 00:00:00 | at chicago bears | l 31-28 | 63498 row 9 : 8 | 1987-11-08 00:00:00 | pittsburgh steelers | l 17-16 | 45249 row 10 : 9 | 1987-11-15 00:00:00 | new york jets | l 16-9 | 40718 row 11 : 10 | 1987-11-22 00:00:00 | green bay packers | l 23-3 | 34611 row 12 : 11 | 1987-11-26 00:00:00 | at detroit lions | w 27-20 | 43820 row 13 : 12 | 1987-12-06 00:00:00 | at cincinnati bengals | l 30-27 | 46489 row 14 : 13 | 1987-12-13 00:00:00 | los angeles raiders | w 16-10 | 63834 row 15 : 14 | 1987-12-19 00:00:00 | at denver broncos | l 20-17 | 75053 row 16 : 15 | 1987-12-27 00:00:00 | seattle seahawks | w 41-20 | 20370

col : opponent row 1 : at los angeles raiders

select opponent where result = 'l 35-17' <table_name> : table \begin{tabular}{llllll} \toprule & week & date & opponent & result & attendance \\ \midrule 0 & 1 & 1987-09-13 00:00:00 & san diego chargers & w 20-13 & 56940 \\ 1 & 2 & 1987-09-20 00:00:00 & at seattle seahawks & l 43-14 & 61667 \\ 2 & none & 1987-09-27 00:00:00 & minnesota vikings & canceled & none \\ 3 & 3 & 1987-10-04 00:00:00 & at los angeles raiders & l 35-17 & 10708 \\ 4 & 4 & 1987-10-11 00:00:00 & at miami dolphins & l 42-0 & 25867 \\ 5 & 5 & 1987-10-18 00:00:00 & denver broncos & l 26-17 & 20296 \\ 6 & 6 & 1987-10-25 00:00:00 & at san diego chargers & l 42-21 & 47972 \\ 7 & 7 & 1987-11-01 00:00:00 & at chicago bears & l 31-28 & 63498 \\ 8 & 8 & 1987-11-08 00:00:00 & pittsburgh steelers & l 17-16 & 45249 \\ 9 & 9 & 1987-11-15 00:00:00 & new york jets & l 16-9 & 40718 \\ 10 & 10 & 1987-11-22 00:00:00 & green bay packers & l 23-3 & 34611 \\ 11 & 11 & 1987-11-26 00:00:00 & at detroit lions & w 27-20 & 43820 \\ 12 & 12 & 1987-12-06 00:00:00 & at cincinnati bengals & l 30-27 & 46489 \\ 13 & 13 & 1987-12-13 00:00:00 & los angeles raiders & w 16-10 & 63834 \\ 14 & 14 & 1987-12-19 00:00:00 & at denver broncos & l 20-17 & 75053 \\ 15 & 15 & 1987-12-27 00:00:00 & seattle seahawks & w 41-20 & 20370 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & opponent \\ \midrule 0 & at los angeles raiders \\ \bottomrule \end{tabular}

select opponent where result = 'l 35-17' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>week</th> <th>date</th> <th>opponent</th> <th>result</th> <th>attendance</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>1987-09-13 00:00:00</td> <td>san diego chargers</td> <td>w 20-13</td> <td>56940</td> </tr> <tr> <th>1</th> <td>2</td> <td>1987-09-20 00:00:00</td> <td>at seattle seahawks</td> <td>l 43-14</td> <td>61667</td> </tr> <tr> <th>2</th> <td>none</td> <td>1987-09-27 00:00:00</td> <td>minnesota vikings</td> <td>canceled</td> <td>none</td> </tr> <tr> <th>3</th> <td>3</td> <td>1987-10-04 00:00:00</td> <td>at los angeles raiders</td> <td>l 35-17</td> <td>10708</td> </tr> <tr> <th>4</th> <td>4</td> <td>1987-10-11 00:00:00</td> <td>at miami dolphins</td> <td>l 42-0</td> <td>25867</td> </tr> <tr> <th>5</th> <td>5</td> <td>1987-10-18 00:00:00</td> <td>denver broncos</td> <td>l 26-17</td> <td>20296</td> </tr> <tr> <th>6</th> <td>6</td> <td>1987-10-25 00:00:00</td> <td>at san diego chargers</td> <td>l 42-21</td> <td>47972</td> </tr> <tr> <th>7</th> <td>7</td> <td>1987-11-01 00:00:00</td> <td>at chicago bears</td> <td>l 31-28</td> <td>63498</td> </tr> <tr> <th>8</th> <td>8</td> <td>1987-11-08 00:00:00</td> <td>pittsburgh steelers</td> <td>l 17-16</td> <td>45249</td> </tr> <tr> <th>9</th> <td>9</td> <td>1987-11-15 00:00:00</td> <td>new york jets</td> <td>l 16-9</td> <td>40718</td> </tr> <tr> <th>10</th> <td>10</td> <td>1987-11-22 00:00:00</td> <td>green bay packers</td> <td>l 23-3</td> <td>34611</td> </tr> <tr> <th>11</th> <td>11</td> <td>1987-11-26 00:00:00</td> <td>at detroit lions</td> <td>w 27-20</td> <td>43820</td> </tr> <tr> <th>12</th> <td>12</td> <td>1987-12-06 00:00:00</td> <td>at cincinnati bengals</td> <td>l 30-27</td> <td>46489</td> </tr> <tr> <th>13</th> <td>13</td> <td>1987-12-13 00:00:00</td> <td>los angeles raiders</td> <td>w 16-10</td> <td>63834</td> </tr> <tr> <th>14</th> <td>14</td> <td>1987-12-19 00:00:00</td> <td>at denver broncos</td> <td>l 20-17</td> <td>75053</td> </tr> <tr> <th>15</th> <td>15</td> <td>1987-12-27 00:00:00</td> <td>seattle seahawks</td> <td>w 41-20</td> <td>20370</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>opponent</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>at los angeles raiders</td> </tr> </tbody> </table>

select opponent where result = 'l 35-17' <table_name> : table | | week | date | opponent | result | attendance | |---:|:-------|:--------------------|:-----------------------|:---------|:-------------| | 0 | 1 | 1987-09-13 00:00:00 | san diego chargers | w 20-13 | 56940 | | 1 | 2 | 1987-09-20 00:00:00 | at seattle seahawks | l 43-14 | 61667 | | 2 | none | 1987-09-27 00:00:00 | minnesota vikings | canceled | none | | 3 | 3 | 1987-10-04 00:00:00 | at los angeles raiders | l 35-17 | 10708 | | 4 | 4 | 1987-10-11 00:00:00 | at miami dolphins | l 42-0 | 25867 | | 5 | 5 | 1987-10-18 00:00:00 | denver broncos | l 26-17 | 20296 | | 6 | 6 | 1987-10-25 00:00:00 | at san diego chargers | l 42-21 | 47972 | | 7 | 7 | 1987-11-01 00:00:00 | at chicago bears | l 31-28 | 63498 | | 8 | 8 | 1987-11-08 00:00:00 | pittsburgh steelers | l 17-16 | 45249 | | 9 | 9 | 1987-11-15 00:00:00 | new york jets | l 16-9 | 40718 | | 10 | 10 | 1987-11-22 00:00:00 | green bay packers | l 23-3 | 34611 | | 11 | 11 | 1987-11-26 00:00:00 | at detroit lions | w 27-20 | 43820 | | 12 | 12 | 1987-12-06 00:00:00 | at cincinnati bengals | l 30-27 | 46489 | | 13 | 13 | 1987-12-13 00:00:00 | los angeles raiders | w 16-10 | 63834 | | 14 | 14 | 1987-12-19 00:00:00 | at denver broncos | l 20-17 | 75053 | | 15 | 15 | 1987-12-27 00:00:00 | seattle seahawks | w 41-20 | 20370 |

| | opponent | |---:|:-----------------------| | 0 | at los angeles raiders |

select count ( * ) where album = 'live the life released: april 28, 1998 label: reunion format: cd' col : year | album | peak us | peak us holiday | certifications (sales threshold) row 1 : 1990 | go west young man released: october 1, 1990 label: reunion format: cd | 74 | none | riaa: platinum mc: gold row 2 : 1992 | change your world released: september 1, 1992 label: reunion format: cd | 86 | none | riaa: platinum row 3 : 1995 | i'll lead you home released: august 29, 1995 label: reunion format: cd | 16 | none | riaa: platinum row 4 : 1998 | live the life released: april 28, 1998 label: reunion format: cd | 23 | none | riaa: gold row 5 : 1998 | christmastime released: october 13, 1998 label: reunion format: cd | 90 | 4 | riaa: gold row 6 : 1999 | this is your time released: november 23, 1999 label: reunion format: cd | 21 | none | riaa: gold

col : count ( "*" ) row 1 : 1

select count ( * ) where album = 'live the life released: april 28, 1998 label: reunion format: cd' <table_name> : table \begin{tabular}{llllll} \toprule & year & album & peak us & peak us holiday & certifications (sales threshold) \\ \midrule 0 & 1990 & go west young man released: october 1, 1990 label: reunion format: cd & 74 & none & riaa: platinum mc: gold \\ 1 & 1992 & change your world released: september 1, 1992 label: reunion format: cd & 86 & none & riaa: platinum \\ 2 & 1995 & i'll lead you home released: august 29, 1995 label: reunion format: cd & 16 & none & riaa: platinum \\ 3 & 1998 & live the life released: april 28, 1998 label: reunion format: cd & 23 & none & riaa: gold \\ 4 & 1998 & christmastime released: october 13, 1998 label: reunion format: cd & 90 & 4 & riaa: gold \\ 5 & 1999 & this is your time released: november 23, 1999 label: reunion format: cd & 21 & none & riaa: gold \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( * ) where album = 'live the life released: april 28, 1998 label: reunion format: cd' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>album</th> <th>peak us</th> <th>peak us holiday</th> <th>certifications (sales threshold)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1990</td> <td>go west young man released: october 1, 1990 label: reunion format: cd</td> <td>74</td> <td>none</td> <td>riaa: platinum mc: gold</td> </tr> <tr> <th>1</th> <td>1992</td> <td>change your world released: september 1, 1992 label: reunion format: cd</td> <td>86</td> <td>none</td> <td>riaa: platinum</td> </tr> <tr> <th>2</th> <td>1995</td> <td>i'll lead you home released: august 29, 1995 label: reunion format: cd</td> <td>16</td> <td>none</td> <td>riaa: platinum</td> </tr> <tr> <th>3</th> <td>1998</td> <td>live the life released: april 28, 1998 label: reunion format: cd</td> <td>23</td> <td>none</td> <td>riaa: gold</td> </tr> <tr> <th>4</th> <td>1998</td> <td>christmastime released: october 13, 1998 label: reunion format: cd</td> <td>90</td> <td>4</td> <td>riaa: gold</td> </tr> <tr> <th>5</th> <td>1999</td> <td>this is your time released: november 23, 1999 label: reunion format: cd</td> <td>21</td> <td>none</td> <td>riaa: gold</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 = 'live the life released: april 28, 1998 label: reunion format: cd' <table_name> : table | | year | album | peak us | peak us holiday | certifications (sales threshold) | |---:|-------:|:------------------------------------------------------------------------|----------:|:------------------|:-----------------------------------| | 0 | 1990 | go west young man released: october 1, 1990 label: reunion format: cd | 74 | none | riaa: platinum mc: gold | | 1 | 1992 | change your world released: september 1, 1992 label: reunion format: cd | 86 | none | riaa: platinum | | 2 | 1995 | i'll lead you home released: august 29, 1995 label: reunion format: cd | 16 | none | riaa: platinum | | 3 | 1998 | live the life released: april 28, 1998 label: reunion format: cd | 23 | none | riaa: gold | | 4 | 1998 | christmastime released: october 13, 1998 label: reunion format: cd | 90 | 4 | riaa: gold | | 5 | 1999 | this is your time released: november 23, 1999 label: reunion format: cd | 21 | none | riaa: gold |

| | count ( "*" ) | |---:|----------------:| | 0 | 1 |

select album where album = 'the black swan' 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 : the black swan row 2 : the black swan

select album where album = 'the black swan' <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 & the black swan \\ 1 & the black swan \\ \bottomrule \end{tabular}

select album where album = 'the black swan' <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>the black swan</td> </tr> <tr> <th>1</th> <td>the black swan</td> </tr> </tbody> </table>

select album where album = 'the black swan' <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 | the black swan | | 1 | the black swan |

select notes - year where position = '2nd' col : year | competition | venue | position | event | notes row 1 : 2000 | world junior championships | santiago, chile | 2nd | 400 m hurdles | 50.52 row 2 : 2000 | world junior championships | santiago, chile | 4th | 4x400 m relay | 3:07.66 row 3 : 2005 | world championships | helsinki, finland | 17th (sf) | 400 m hurdles | 49.75 row 4 : 2005 | world championships | helsinki, finland | 13th (h) | 4x400 m relay | 3:04.64 row 5 : 2006 | commonwealth games | melbourne, australia | 7th | 400 m hurdles | 50.51 row 6 : 2006 | african championships | bambous, mauritius | 4th | 400 m hurdles | 50.96 row 7 : 2007 | all-africa games | algiers, algeria | 2nd | 400 m hurdles | 48.91 row 8 : 2007 | all-africa games | algiers, algeria | 8th | 4x400 m relay | dnf row 9 : 2007 | world championships | osaka, japan | 15th (sf) | 400 m hurdles | 49.37 row 10 : 2008 | olympic games | beijing, china | 12th (sf) | 400 m hurdles | 49.44

col : "notes - year" row 1 : notes - year row 2 : notes - year

select notes - year where position = '2nd' <table_name> : table \begin{tabular}{lllllll} \toprule & year & competition & venue & position & event & notes \\ \midrule 0 & 2000 & world junior championships & santiago, chile & 2nd & 400 m hurdles & 50.52 \\ 1 & 2000 & world junior championships & santiago, chile & 4th & 4x400 m relay & 3:07.66 \\ 2 & 2005 & world championships & helsinki, finland & 17th (sf) & 400 m hurdles & 49.75 \\ 3 & 2005 & world championships & helsinki, finland & 13th (h) & 4x400 m relay & 3:04.64 \\ 4 & 2006 & commonwealth games & melbourne, australia & 7th & 400 m hurdles & 50.51 \\ 5 & 2006 & african championships & bambous, mauritius & 4th & 400 m hurdles & 50.96 \\ 6 & 2007 & all-africa games & algiers, algeria & 2nd & 400 m hurdles & 48.91 \\ 7 & 2007 & all-africa games & algiers, algeria & 8th & 4x400 m relay & dnf \\ 8 & 2007 & world championships & osaka, japan & 15th (sf) & 400 m hurdles & 49.37 \\ 9 & 2008 & olympic games & beijing, china & 12th (sf) & 400 m hurdles & 49.44 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & "notes - year" \\ \midrule 0 & notes - year \\ 1 & notes - year \\ \bottomrule \end{tabular}

select notes - year where position = '2nd' <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>2000</td> <td>world junior championships</td> <td>santiago, chile</td> <td>2nd</td> <td>400 m hurdles</td> <td>50.52</td> </tr> <tr> <th>1</th> <td>2000</td> <td>world junior championships</td> <td>santiago, chile</td> <td>4th</td> <td>4x400 m relay</td> <td>3:07.66</td> </tr> <tr> <th>2</th> <td>2005</td> <td>world championships</td> <td>helsinki, finland</td> <td>17th (sf)</td> <td>400 m hurdles</td> <td>49.75</td> </tr> <tr> <th>3</th> <td>2005</td> <td>world championships</td> <td>helsinki, finland</td> <td>13th (h)</td> <td>4x400 m relay</td> <td>3:04.64</td> </tr> <tr> <th>4</th> <td>2006</td> <td>commonwealth games</td> <td>melbourne, australia</td> <td>7th</td> <td>400 m hurdles</td> <td>50.51</td> </tr> <tr> <th>5</th> <td>2006</td> <td>african championships</td> <td>bambous, mauritius</td> <td>4th</td> <td>400 m hurdles</td> <td>50.96</td> </tr> <tr> <th>6</th> <td>2007</td> <td>all-africa games</td> <td>algiers, algeria</td> <td>2nd</td> <td>400 m hurdles</td> <td>48.91</td> </tr> <tr> <th>7</th> <td>2007</td> <td>all-africa games</td> <td>algiers, algeria</td> <td>8th</td> <td>4x400 m relay</td> <td>dnf</td> </tr> <tr> <th>8</th> <td>2007</td> <td>world championships</td> <td>osaka, japan</td> <td>15th (sf)</td> <td>400 m hurdles</td> <td>49.37</td> </tr> <tr> <th>9</th> <td>2008</td> <td>olympic games</td> <td>beijing, china</td> <td>12th (sf)</td> <td>400 m hurdles</td> <td>49.44</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>"notes - year"</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>notes - year</td> </tr> <tr> <th>1</th> <td>notes - year</td> </tr> </tbody> </table>

select notes - year where position = '2nd' <table_name> : table | | year | competition | venue | position | event | notes | |---:|-------:|:---------------------------|:---------------------|:-----------|:--------------|:--------| | 0 | 2000 | world junior championships | santiago, chile | 2nd | 400 m hurdles | 50.52 | | 1 | 2000 | world junior championships | santiago, chile | 4th | 4x400 m relay | 3:07.66 | | 2 | 2005 | world championships | helsinki, finland | 17th (sf) | 400 m hurdles | 49.75 | | 3 | 2005 | world championships | helsinki, finland | 13th (h) | 4x400 m relay | 3:04.64 | | 4 | 2006 | commonwealth games | melbourne, australia | 7th | 400 m hurdles | 50.51 | | 5 | 2006 | african championships | bambous, mauritius | 4th | 400 m hurdles | 50.96 | | 6 | 2007 | all-africa games | algiers, algeria | 2nd | 400 m hurdles | 48.91 | | 7 | 2007 | all-africa games | algiers, algeria | 8th | 4x400 m relay | dnf | | 8 | 2007 | world championships | osaka, japan | 15th (sf) | 400 m hurdles | 49.37 | | 9 | 2008 | olympic games | beijing, china | 12th (sf) | 400 m hurdles | 49.44 |

| | "notes - year" | |---:|:-----------------| | 0 | notes - year | | 1 | notes - year |

select position where year = 2007 col : year | competition | venue | position | notes row 1 : 1999 | world youth championships | bydgoszcz, poland | 12th | none row 2 : 2000 | world junior championships | santiago, chile | 5th | none row 3 : 2001 | european junior championships | grosseto, italy | 2nd | 61.97 m row 4 : 2001 | world championships | edmonton, canada | 23rd | 61.26 m row 5 : 2002 | world junior championships | kingston, jamaica | 2nd | 63.91 m row 6 : 2002 | european championships | munich, germany | 26th | 60.28 m row 7 : 2006 | european championships | gothenburg, sweden | 26th | 62.39 m row 8 : 2007 | world student games | bangkok, thailand | 5th | 64.95 m row 9 : 2007 | world championships | osaka, japan | 13th | 68.15 m row 10 : 2008 | olympic games | beijing, pr china | 8th | 71.00 m row 11 : 2008 | world athletics final | stuttgart, germany | 2nd | 71.40 m row 12 : 2009 | world student games | belgrade, serbia | 2nd | 72.85 m row 13 : 2009 | world championships | berlin, germany | 3rd | 74.79 m row 14 : 2009 | world athletics final | thessaloniki, greece | 3rd | 70.45 m row 15 : 2012 | european championships | helsinki, finland | 2nd | 73.34 m

col : position row 1 : 5th row 2 : 13th

select position where year = 2007 <table_name> : table \begin{tabular}{llllll} \toprule & year & competition & venue & position & notes \\ \midrule 0 & 1999 & world youth championships & bydgoszcz, poland & 12th & none \\ 1 & 2000 & world junior championships & santiago, chile & 5th & none \\ 2 & 2001 & european junior championships & grosseto, italy & 2nd & 61.97 m \\ 3 & 2001 & world championships & edmonton, canada & 23rd & 61.26 m \\ 4 & 2002 & world junior championships & kingston, jamaica & 2nd & 63.91 m \\ 5 & 2002 & european championships & munich, germany & 26th & 60.28 m \\ 6 & 2006 & european championships & gothenburg, sweden & 26th & 62.39 m \\ 7 & 2007 & world student games & bangkok, thailand & 5th & 64.95 m \\ 8 & 2007 & world championships & osaka, japan & 13th & 68.15 m \\ 9 & 2008 & olympic games & beijing, pr china & 8th & 71.00 m \\ 10 & 2008 & world athletics final & stuttgart, germany & 2nd & 71.40 m \\ 11 & 2009 & world student games & belgrade, serbia & 2nd & 72.85 m \\ 12 & 2009 & world championships & berlin, germany & 3rd & 74.79 m \\ 13 & 2009 & world athletics final & thessaloniki, greece & 3rd & 70.45 m \\ 14 & 2012 & european championships & helsinki, finland & 2nd & 73.34 m \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & position \\ \midrule 0 & 5th \\ 1 & 13th \\ \bottomrule \end{tabular}

select position where year = 2007 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>competition</th> <th>venue</th> <th>position</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1999</td> <td>world youth championships</td> <td>bydgoszcz, poland</td> <td>12th</td> <td>none</td> </tr> <tr> <th>1</th> <td>2000</td> <td>world junior championships</td> <td>santiago, chile</td> <td>5th</td> <td>none</td> </tr> <tr> <th>2</th> <td>2001</td> <td>european junior championships</td> <td>grosseto, italy</td> <td>2nd</td> <td>61.97 m</td> </tr> <tr> <th>3</th> <td>2001</td> <td>world championships</td> <td>edmonton, canada</td> <td>23rd</td> <td>61.26 m</td> </tr> <tr> <th>4</th> <td>2002</td> <td>world junior championships</td> <td>kingston, jamaica</td> <td>2nd</td> <td>63.91 m</td> </tr> <tr> <th>5</th> <td>2002</td> <td>european championships</td> <td>munich, germany</td> <td>26th</td> <td>60.28 m</td> </tr> <tr> <th>6</th> <td>2006</td> <td>european championships</td> <td>gothenburg, sweden</td> <td>26th</td> <td>62.39 m</td> </tr> <tr> <th>7</th> <td>2007</td> <td>world student games</td> <td>bangkok, thailand</td> <td>5th</td> <td>64.95 m</td> </tr> <tr> <th>8</th> <td>2007</td> <td>world championships</td> <td>osaka, japan</td> <td>13th</td> <td>68.15 m</td> </tr> <tr> <th>9</th> <td>2008</td> <td>olympic games</td> <td>beijing, pr china</td> <td>8th</td> <td>71.00 m</td> </tr> <tr> <th>10</th> <td>2008</td> <td>world athletics final</td> <td>stuttgart, germany</td> <td>2nd</td> <td>71.40 m</td> </tr> <tr> <th>11</th> <td>2009</td> <td>world student games</td> <td>belgrade, serbia</td> <td>2nd</td> <td>72.85 m</td> </tr> <tr> <th>12</th> <td>2009</td> <td>world championships</td> <td>berlin, germany</td> <td>3rd</td> <td>74.79 m</td> </tr> <tr> <th>13</th> <td>2009</td> <td>world athletics final</td> <td>thessaloniki, greece</td> <td>3rd</td> <td>70.45 m</td> </tr> <tr> <th>14</th> <td>2012</td> <td>european championships</td> <td>helsinki, finland</td> <td>2nd</td> <td>73.34 m</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>5th</td> </tr> <tr> <th>1</th> <td>13th</td> </tr> </tbody> </table>

select position where year = 2007 <table_name> : table | | year | competition | venue | position | notes | |---:|-------:|:------------------------------|:---------------------|:-----------|:--------| | 0 | 1999 | world youth championships | bydgoszcz, poland | 12th | none | | 1 | 2000 | world junior championships | santiago, chile | 5th | none | | 2 | 2001 | european junior championships | grosseto, italy | 2nd | 61.97 m | | 3 | 2001 | world championships | edmonton, canada | 23rd | 61.26 m | | 4 | 2002 | world junior championships | kingston, jamaica | 2nd | 63.91 m | | 5 | 2002 | european championships | munich, germany | 26th | 60.28 m | | 6 | 2006 | european championships | gothenburg, sweden | 26th | 62.39 m | | 7 | 2007 | world student games | bangkok, thailand | 5th | 64.95 m | | 8 | 2007 | world championships | osaka, japan | 13th | 68.15 m | | 9 | 2008 | olympic games | beijing, pr china | 8th | 71.00 m | | 10 | 2008 | world athletics final | stuttgart, germany | 2nd | 71.40 m | | 11 | 2009 | world student games | belgrade, serbia | 2nd | 72.85 m | | 12 | 2009 | world championships | berlin, germany | 3rd | 74.79 m | | 13 | 2009 | world athletics final | thessaloniki, greece | 3rd | 70.45 m | | 14 | 2012 | european championships | helsinki, finland | 2nd | 73.34 m |

| | position | |---:|:-----------| | 0 | 5th | | 1 | 13th |

select album/single where year = 1988 col : album/single | performer | year | variant | notes row 1 : the english and scottish popular ballads vol 3 | ewan maccoll | 1956 | gil morice | the earliest known professional recording (8'37") row 2 : blood and roses vol 2 | ewan maccoll | 1981 | child maurice | this is a different version from maccoll's 1956 recording row 3 : right of passage | martin carthy | 1988 | bill norrie | none row 4 : kornog | kornog | 2000 | child noryce | the only known version by a french band row 5 : the furrowed field | damien barber | 2000 | bill norrie | none row 6 : songs | spiers and boden | 2005 | child morris | none row 7 : at ruskin mill | martin carthy | 2005 | bill norrie | the longest recorded version (9'06")

col : album/single row 1 : right of passage

select album/single where year = 1988 <table_name> : table \begin{tabular}{llllll} \toprule & album/single & performer & year & variant & notes \\ \midrule 0 & the english and scottish popular ballads vol 3 & ewan maccoll & 1956 & gil morice & the earliest known professional recording (8'37") \\ 1 & blood and roses vol 2 & ewan maccoll & 1981 & child maurice & this is a different version from maccoll's 1956 recording \\ 2 & right of passage & martin carthy & 1988 & bill norrie & none \\ 3 & kornog & kornog & 2000 & child noryce & the only known version by a french band \\ 4 & the furrowed field & damien barber & 2000 & bill norrie & none \\ 5 & songs & spiers and boden & 2005 & child morris & none \\ 6 & at ruskin mill & martin carthy & 2005 & bill norrie & the longest recorded version (9'06") \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & album/single \\ \midrule 0 & right of passage \\ \bottomrule \end{tabular}

select album/single where year = 1988 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>album/single</th> <th>performer</th> <th>year</th> <th>variant</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>the english and scottish popular ballads vol 3</td> <td>ewan maccoll</td> <td>1956</td> <td>gil morice</td> <td>the earliest known professional recording (8'37")</td> </tr> <tr> <th>1</th> <td>blood and roses vol 2</td> <td>ewan maccoll</td> <td>1981</td> <td>child maurice</td> <td>this is a different version from maccoll's 1956 recording</td> </tr> <tr> <th>2</th> <td>right of passage</td> <td>martin carthy</td> <td>1988</td> <td>bill norrie</td> <td>none</td> </tr> <tr> <th>3</th> <td>kornog</td> <td>kornog</td> <td>2000</td> <td>child noryce</td> <td>the only known version by a french band</td> </tr> <tr> <th>4</th> <td>the furrowed field</td> <td>damien barber</td> <td>2000</td> <td>bill norrie</td> <td>none</td> </tr> <tr> <th>5</th> <td>songs</td> <td>spiers and boden</td> <td>2005</td> <td>child morris</td> <td>none</td> </tr> <tr> <th>6</th> <td>at ruskin mill</td> <td>martin carthy</td> <td>2005</td> <td>bill norrie</td> <td>the longest recorded version (9'06")</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>album/single</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>right of passage</td> </tr> </tbody> </table>

select album/single where year = 1988 <table_name> : table | | album/single | performer | year | variant | notes | |---:|:-----------------------------------------------|:-----------------|-------:|:--------------|:----------------------------------------------------------| | 0 | the english and scottish popular ballads vol 3 | ewan maccoll | 1956 | gil morice | the earliest known professional recording (8'37") | | 1 | blood and roses vol 2 | ewan maccoll | 1981 | child maurice | this is a different version from maccoll's 1956 recording | | 2 | right of passage | martin carthy | 1988 | bill norrie | none | | 3 | kornog | kornog | 2000 | child noryce | the only known version by a french band | | 4 | the furrowed field | damien barber | 2000 | bill norrie | none | | 5 | songs | spiers and boden | 2005 | child morris | none | | 6 | at ruskin mill | martin carthy | 2005 | bill norrie | the longest recorded version (9'06") |

| | album/single | |---:|:-----------------| | 0 | right of passage |

select abs ( matches - innings ) where 100s = 0 col : player | matches | innings | runs | average | 100s | 50s row 1 : herbie hewett | 10 | 15 | 543 | 38.79 | 1 | 2 row 2 : lionel palairet | 10 | 14 | 408 | 29.14 | 1 | 1 row 3 : bill roe | 8 | 12 | 316 | 28.73 | 0 | 1 row 4 : george nichols | 13 | 18 | 497 | 27.61 | 1 | 3 row 5 : john challen | 9 | 14 | 286 | 20.43 | 0 | 1 row 6 : ted tyler | 13 | 18 | 297 | 18.56 | 0 | 0 row 7 : crescens robinson | 9 | 13 | 162 | 14.73 | 0 | 0 row 8 : albert clapp | 11 | 15 | 159 | 10.6 | 0 | 0

col : "abs ( matches - innings )" row 1 : abs ( matches - innings ) row 2 : abs ( matches - innings ) row 3 : abs ( matches - innings ) row 4 : abs ( matches - innings ) row 5 : abs ( matches - innings )

select abs ( matches - innings ) where 100s = 0 <table_name> : table \begin{tabular}{llllllll} \toprule & player & matches & innings & runs & average & 100s & 50s \\ \midrule 0 & herbie hewett & 10 & 15 & 543 & 38.79 & 1 & 2 \\ 1 & lionel palairet & 10 & 14 & 408 & 29.14 & 1 & 1 \\ 2 & bill roe & 8 & 12 & 316 & 28.73 & 0 & 1 \\ 3 & george nichols & 13 & 18 & 497 & 27.61 & 1 & 3 \\ 4 & john challen & 9 & 14 & 286 & 20.43 & 0 & 1 \\ 5 & ted tyler & 13 & 18 & 297 & 18.56 & 0 & 0 \\ 6 & crescens robinson & 9 & 13 & 162 & 14.73 & 0 & 0 \\ 7 & albert clapp & 11 & 15 & 159 & 10.6 & 0 & 0 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & "abs ( matches - innings )" \\ \midrule 0 & abs ( matches - innings ) \\ 1 & abs ( matches - innings ) \\ 2 & abs ( matches - innings ) \\ 3 & abs ( matches - innings ) \\ 4 & abs ( matches - innings ) \\ \bottomrule \end{tabular}

select abs ( matches - innings ) where 100s = 0 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>player</th> <th>matches</th> <th>innings</th> <th>runs</th> <th>average</th> <th>100s</th> <th>50s</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>herbie hewett</td> <td>10</td> <td>15</td> <td>543</td> <td>38.79</td> <td>1</td> <td>2</td> </tr> <tr> <th>1</th> <td>lionel palairet</td> <td>10</td> <td>14</td> <td>408</td> <td>29.14</td> <td>1</td> <td>1</td> </tr> <tr> <th>2</th> <td>bill roe</td> <td>8</td> <td>12</td> <td>316</td> <td>28.73</td> <td>0</td> <td>1</td> </tr> <tr> <th>3</th> <td>george nichols</td> <td>13</td> <td>18</td> <td>497</td> <td>27.61</td> <td>1</td> <td>3</td> </tr> <tr> <th>4</th> <td>john challen</td> <td>9</td> <td>14</td> <td>286</td> <td>20.43</td> <td>0</td> <td>1</td> </tr> <tr> <th>5</th> <td>ted tyler</td> <td>13</td> <td>18</td> <td>297</td> <td>18.56</td> <td>0</td> <td>0</td> </tr> <tr> <th>6</th> <td>crescens robinson</td> <td>9</td> <td>13</td> <td>162</td> <td>14.73</td> <td>0</td> <td>0</td> </tr> <tr> <th>7</th> <td>albert clapp</td> <td>11</td> <td>15</td> <td>159</td> <td>10.6</td> <td>0</td> <td>0</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>"abs ( matches - innings )"</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>abs ( matches - innings )</td> </tr> <tr> <th>1</th> <td>abs ( matches - innings )</td> </tr> <tr> <th>2</th> <td>abs ( matches - innings )</td> </tr> <tr> <th>3</th> <td>abs ( matches - innings )</td> </tr> <tr> <th>4</th> <td>abs ( matches - innings )</td> </tr> </tbody> </table>

select abs ( matches - innings ) where 100s = 0 <table_name> : table | | player | matches | innings | runs | average | 100s | 50s | |---:|:------------------|----------:|----------:|-------:|----------:|-------:|------:| | 0 | herbie hewett | 10 | 15 | 543 | 38.79 | 1 | 2 | | 1 | lionel palairet | 10 | 14 | 408 | 29.14 | 1 | 1 | | 2 | bill roe | 8 | 12 | 316 | 28.73 | 0 | 1 | | 3 | george nichols | 13 | 18 | 497 | 27.61 | 1 | 3 | | 4 | john challen | 9 | 14 | 286 | 20.43 | 0 | 1 | | 5 | ted tyler | 13 | 18 | 297 | 18.56 | 0 | 0 | | 6 | crescens robinson | 9 | 13 | 162 | 14.73 | 0 | 0 | | 7 | albert clapp | 11 | 15 | 159 | 10.6 | 0 | 0 |

| | "abs ( matches - innings )" | |---:|:------------------------------| | 0 | abs ( matches - innings ) | | 1 | abs ( matches - innings ) | | 2 | abs ( matches - innings ) | | 3 | abs ( matches - innings ) | | 4 | abs ( matches - innings ) |

select length ( driver ) where constructor = 'mclaren-honda' col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 5 | nigel mansell | williams-renault | 65 | 1:56:10.674 | 1 | 10 row 2 : 2 | 19 | michael schumacher | benetton-ford | 65 | + 23.914 | 2 | 6 row 3 : 3 | 27 | jean alesi | ferrari | 65 | + 26.462 | 8 | 4 row 4 : 4 | 2 | gerhard berger | mclaren-honda | 65 | + 1:20.647 | 7 | 3 row 5 : 5 | 9 | michele alboreto | footwork-mugen-honda | 64 | + 1 lap | 16 | 2 row 6 : 6 | 22 | pierluigi martini | dallara-ferrari | 63 | + 2 laps | 13 | 1 row 7 : 7 | 10 | aguri suzuki | footwork-mugen-honda | 63 | + 2 laps | 19 | none row 8 : 8 | 16 | karl wendlinger | march-ilmor | 63 | + 2 laps | 9 | none row 9 : 9 | 1 | ayrton senna | mclaren-honda | 62 | spun off | 3 | none row 10 : 10 | 28 | ivan capelli | ferrari | 62 | spun off | 5 | none row 11 : 11 | 23 | christian fittipaldi | minardi-lamborghini | 61 | + 4 laps | 22 | none row 12 : 12 | 17 | paul belmondo | march-ilmor | 61 | + 4 laps | 23 | none row 13 : ret | 21 | jj lehto | dallara-ferrari | 56 | spun off | 12 | none row 14 : ret | 15 | gabriele tarquini | fondmetal-ford | 56 | spun off | 18 | none row 15 : ret | 11 | mika hakkinen | lotus-ford | 56 | spun off | 21 | none row 16 : ret | 26 | erik comas | ligier-renault | 55 | spun off | 10 | none row 17 : ret | 29 | bertrand gachot | larrousse-lamborghini | 35 | engine | 24 | none row 18 : ret | 3 | olivier grouillard | tyrrell-ilmor | 30 | spun off | 15 | none row 19 : ret | 24 | gianni morbidelli | minardi-lamborghini | 26 | handling | 25 | none row 20 : ret | 33 | mauricio gugelmin | jordan-yamaha | 24 | spun off | 17 | none row 21 : ret | 14 | andrea chiesa | fondmetal-ford | 22 | spun off | 20 | none row 22 : ret | 6 | riccardo patrese | williams-renault | 19 | spun off | 4 | none row 23 : ret | 12 | johnny herbert | lotus-ford | 13 | spun off | 26 | none row 24 : ret | 25 | thierry boutsen | ligier-renault | 11 | engine | 14 | none row 25 : ret | 20 | martin brundle | benetton-ford | 4 | spun off | 6 | none row 26 : ret | 4 | andrea de cesaris | tyrrell-ilmor | 2 | engine | 11 | none row 27 : dnq | 30 | ukyo katayama | larrousse-lamborghini | none | none | none | none row 28 : dnq | 7 | eric van de poele | brabham-judd | none | none | none | none row 29 : dnq | 32 | stefano modena | jordan-yamaha | none | none | none | none row 30 : dnq | 8 | damon hill | brabham-judd | none | none | none | none row 31 : dnpq | 34 | roberto moreno | moda-judd | none | none | none | none row 32 : dnpq | 35 | perry mccarthy | moda-judd | none | none | none | none

col : "length ( driver )" row 1 : length ( driver ) row 2 : length ( driver )

select length ( driver ) where constructor = 'mclaren-honda' <table_name> : table \begin{tabular}{lllllllll} \toprule & pos & no & driver & constructor & laps & time/retired & grid & points \\ \midrule 0 & 1 & 5 & nigel mansell & williams-renault & 65 & 1:56:10.674 & 1 & 10 \\ 1 & 2 & 19 & michael schumacher & benetton-ford & 65 & + 23.914 & 2 & 6 \\ 2 & 3 & 27 & jean alesi & ferrari & 65 & + 26.462 & 8 & 4 \\ 3 & 4 & 2 & gerhard berger & mclaren-honda & 65 & + 1:20.647 & 7 & 3 \\ 4 & 5 & 9 & michele alboreto & footwork-mugen-honda & 64 & + 1 lap & 16 & 2 \\ 5 & 6 & 22 & pierluigi martini & dallara-ferrari & 63 & + 2 laps & 13 & 1 \\ 6 & 7 & 10 & aguri suzuki & footwork-mugen-honda & 63 & + 2 laps & 19 & none \\ 7 & 8 & 16 & karl wendlinger & march-ilmor & 63 & + 2 laps & 9 & none \\ 8 & 9 & 1 & ayrton senna & mclaren-honda & 62 & spun off & 3 & none \\ 9 & 10 & 28 & ivan capelli & ferrari & 62 & spun off & 5 & none \\ 10 & 11 & 23 & christian fittipaldi & minardi-lamborghini & 61 & + 4 laps & 22 & none \\ 11 & 12 & 17 & paul belmondo & march-ilmor & 61 & + 4 laps & 23 & none \\ 12 & ret & 21 & jj lehto & dallara-ferrari & 56 & spun off & 12 & none \\ 13 & ret & 15 & gabriele tarquini & fondmetal-ford & 56 & spun off & 18 & none \\ 14 & ret & 11 & mika hakkinen & lotus-ford & 56 & spun off & 21 & none \\ 15 & ret & 26 & erik comas & ligier-renault & 55 & spun off & 10 & none \\ 16 & ret & 29 & bertrand gachot & larrousse-lamborghini & 35 & engine & 24 & none \\ 17 & ret & 3 & olivier grouillard & tyrrell-ilmor & 30 & spun off & 15 & none \\ 18 & ret & 24 & gianni morbidelli & minardi-lamborghini & 26 & handling & 25 & none \\ 19 & ret & 33 & mauricio gugelmin & jordan-yamaha & 24 & spun off & 17 & none \\ 20 & ret & 14 & andrea chiesa & fondmetal-ford & 22 & spun off & 20 & none \\ 21 & ret & 6 & riccardo patrese & williams-renault & 19 & spun off & 4 & none \\ 22 & ret & 12 & johnny herbert & lotus-ford & 13 & spun off & 26 & none \\ 23 & ret & 25 & thierry boutsen & ligier-renault & 11 & engine & 14 & none \\ 24 & ret & 20 & martin brundle & benetton-ford & 4 & spun off & 6 & none \\ 25 & ret & 4 & andrea de cesaris & tyrrell-ilmor & 2 & engine & 11 & none \\ 26 & dnq & 30 & ukyo katayama & larrousse-lamborghini & none & none & none & none \\ 27 & dnq & 7 & eric van de poele & brabham-judd & none & none & none & none \\ 28 & dnq & 32 & stefano modena & jordan-yamaha & none & none & none & none \\ 29 & dnq & 8 & damon hill & brabham-judd & none & none & none & none \\ 30 & dnpq & 34 & roberto moreno & moda-judd & none & none & none & none \\ 31 & dnpq & 35 & perry mccarthy & moda-judd & none & none & none & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & "length ( driver )" \\ \midrule 0 & length ( driver ) \\ 1 & length ( driver ) \\ \bottomrule \end{tabular}

select length ( driver ) where constructor = 'mclaren-honda' <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>5</td> <td>nigel mansell</td> <td>williams-renault</td> <td>65</td> <td>1:56:10.674</td> <td>1</td> <td>10</td> </tr> <tr> <th>1</th> <td>2</td> <td>19</td> <td>michael schumacher</td> <td>benetton-ford</td> <td>65</td> <td>+ 23.914</td> <td>2</td> <td>6</td> </tr> <tr> <th>2</th> <td>3</td> <td>27</td> <td>jean alesi</td> <td>ferrari</td> <td>65</td> <td>+ 26.462</td> <td>8</td> <td>4</td> </tr> <tr> <th>3</th> <td>4</td> <td>2</td> <td>gerhard berger</td> <td>mclaren-honda</td> <td>65</td> <td>+ 1:20.647</td> <td>7</td> <td>3</td> </tr> <tr> <th>4</th> <td>5</td> <td>9</td> <td>michele alboreto</td> <td>footwork-mugen-honda</td> <td>64</td> <td>+ 1 lap</td> <td>16</td> <td>2</td> </tr> <tr> <th>5</th> <td>6</td> <td>22</td> <td>pierluigi martini</td> <td>dallara-ferrari</td> <td>63</td> <td>+ 2 laps</td> <td>13</td> <td>1</td> </tr> <tr> <th>6</th> <td>7</td> <td>10</td> <td>aguri suzuki</td> <td>footwork-mugen-honda</td> <td>63</td> <td>+ 2 laps</td> <td>19</td> <td>none</td> </tr> <tr> <th>7</th> <td>8</td> <td>16</td> <td>karl wendlinger</td> <td>march-ilmor</td> <td>63</td> <td>+ 2 laps</td> <td>9</td> <td>none</td> </tr> <tr> <th>8</th> <td>9</td> <td>1</td> <td>ayrton senna</td> <td>mclaren-honda</td> <td>62</td> <td>spun off</td> <td>3</td> <td>none</td> </tr> <tr> <th>9</th> <td>10</td> <td>28</td> <td>ivan capelli</td> <td>ferrari</td> <td>62</td> <td>spun off</td> <td>5</td> <td>none</td> </tr> <tr> <th>10</th> <td>11</td> <td>23</td> <td>christian fittipaldi</td> <td>minardi-lamborghini</td> <td>61</td> <td>+ 4 laps</td> <td>22</td> <td>none</td> </tr> <tr> <th>11</th> <td>12</td> <td>17</td> <td>paul belmondo</td> <td>march-ilmor</td> <td>61</td> <td>+ 4 laps</td> <td>23</td> <td>none</td> </tr> <tr> <th>12</th> <td>ret</td> <td>21</td> <td>jj lehto</td> <td>dallara-ferrari</td> <td>56</td> <td>spun off</td> <td>12</td> <td>none</td> </tr> <tr> <th>13</th> <td>ret</td> <td>15</td> <td>gabriele tarquini</td> <td>fondmetal-ford</td> <td>56</td> <td>spun off</td> <td>18</td> <td>none</td> </tr> <tr> <th>14</th> <td>ret</td> <td>11</td> <td>mika hakkinen</td> <td>lotus-ford</td> <td>56</td> <td>spun off</td> <td>21</td> <td>none</td> </tr> <tr> <th>15</th> <td>ret</td> <td>26</td> <td>erik comas</td> <td>ligier-renault</td> <td>55</td> <td>spun off</td> <td>10</td> <td>none</td> </tr> <tr> <th>16</th> <td>ret</td> <td>29</td> <td>bertrand gachot</td> <td>larrousse-lamborghini</td> <td>35</td> <td>engine</td> <td>24</td> <td>none</td> </tr> <tr> <th>17</th> <td>ret</td> <td>3</td> <td>olivier grouillard</td> <td>tyrrell-ilmor</td> <td>30</td> <td>spun off</td> <td>15</td> <td>none</td> </tr> <tr> <th>18</th> <td>ret</td> <td>24</td> <td>gianni morbidelli</td> <td>minardi-lamborghini</td> <td>26</td> <td>handling</td> <td>25</td> <td>none</td> </tr> <tr> <th>19</th> <td>ret</td> <td>33</td> <td>mauricio gugelmin</td> <td>jordan-yamaha</td> <td>24</td> <td>spun off</td> <td>17</td> <td>none</td> </tr> <tr> <th>20</th> <td>ret</td> <td>14</td> <td>andrea chiesa</td> <td>fondmetal-ford</td> <td>22</td> <td>spun off</td> <td>20</td> <td>none</td> </tr> <tr> <th>21</th> <td>ret</td> <td>6</td> <td>riccardo patrese</td> <td>williams-renault</td> <td>19</td> <td>spun off</td> <td>4</td> <td>none</td> </tr> <tr> <th>22</th> <td>ret</td> <td>12</td> <td>johnny herbert</td> <td>lotus-ford</td> <td>13</td> <td>spun off</td> <td>26</td> <td>none</td> </tr> <tr> <th>23</th> <td>ret</td> <td>25</td> <td>thierry boutsen</td> <td>ligier-renault</td> <td>11</td> <td>engine</td> <td>14</td> <td>none</td> </tr> <tr> <th>24</th> <td>ret</td> <td>20</td> <td>martin brundle</td> <td>benetton-ford</td> <td>4</td> <td>spun off</td> <td>6</td> <td>none</td> </tr> <tr> <th>25</th> <td>ret</td> <td>4</td> <td>andrea de cesaris</td> <td>tyrrell-ilmor</td> <td>2</td> <td>engine</td> <td>11</td> <td>none</td> </tr> <tr> <th>26</th> <td>dnq</td> <td>30</td> <td>ukyo katayama</td> <td>larrousse-lamborghini</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>eric van de poele</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>32</td> <td>stefano modena</td> <td>jordan-yamaha</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>29</th> <td>dnq</td> <td>8</td> <td>damon hill</td> <td>brabham-judd</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>30</th> <td>dnpq</td> <td>34</td> <td>roberto moreno</td> <td>moda-judd</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>31</th> <td>dnpq</td> <td>35</td> <td>perry mccarthy</td> <td>moda-judd</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>"length ( driver )"</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>length ( driver )</td> </tr> <tr> <th>1</th> <td>length ( driver )</td> </tr> </tbody> </table>

select length ( driver ) where constructor = 'mclaren-honda' <table_name> : table | | pos | no | driver | constructor | laps | time/retired | grid | points | |---:|:------|-----:|:---------------------|:----------------------|:-------|:---------------|:-------|:---------| | 0 | 1 | 5 | nigel mansell | williams-renault | 65 | 1:56:10.674 | 1 | 10 | | 1 | 2 | 19 | michael schumacher | benetton-ford | 65 | + 23.914 | 2 | 6 | | 2 | 3 | 27 | jean alesi | ferrari | 65 | + 26.462 | 8 | 4 | | 3 | 4 | 2 | gerhard berger | mclaren-honda | 65 | + 1:20.647 | 7 | 3 | | 4 | 5 | 9 | michele alboreto | footwork-mugen-honda | 64 | + 1 lap | 16 | 2 | | 5 | 6 | 22 | pierluigi martini | dallara-ferrari | 63 | + 2 laps | 13 | 1 | | 6 | 7 | 10 | aguri suzuki | footwork-mugen-honda | 63 | + 2 laps | 19 | none | | 7 | 8 | 16 | karl wendlinger | march-ilmor | 63 | + 2 laps | 9 | none | | 8 | 9 | 1 | ayrton senna | mclaren-honda | 62 | spun off | 3 | none | | 9 | 10 | 28 | ivan capelli | ferrari | 62 | spun off | 5 | none | | 10 | 11 | 23 | christian fittipaldi | minardi-lamborghini | 61 | + 4 laps | 22 | none | | 11 | 12 | 17 | paul belmondo | march-ilmor | 61 | + 4 laps | 23 | none | | 12 | ret | 21 | jj lehto | dallara-ferrari | 56 | spun off | 12 | none | | 13 | ret | 15 | gabriele tarquini | fondmetal-ford | 56 | spun off | 18 | none | | 14 | ret | 11 | mika hakkinen | lotus-ford | 56 | spun off | 21 | none | | 15 | ret | 26 | erik comas | ligier-renault | 55 | spun off | 10 | none | | 16 | ret | 29 | bertrand gachot | larrousse-lamborghini | 35 | engine | 24 | none | | 17 | ret | 3 | olivier grouillard | tyrrell-ilmor | 30 | spun off | 15 | none | | 18 | ret | 24 | gianni morbidelli | minardi-lamborghini | 26 | handling | 25 | none | | 19 | ret | 33 | mauricio gugelmin | jordan-yamaha | 24 | spun off | 17 | none | | 20 | ret | 14 | andrea chiesa | fondmetal-ford | 22 | spun off | 20 | none | | 21 | ret | 6 | riccardo patrese | williams-renault | 19 | spun off | 4 | none | | 22 | ret | 12 | johnny herbert | lotus-ford | 13 | spun off | 26 | none | | 23 | ret | 25 | thierry boutsen | ligier-renault | 11 | engine | 14 | none | | 24 | ret | 20 | martin brundle | benetton-ford | 4 | spun off | 6 | none | | 25 | ret | 4 | andrea de cesaris | tyrrell-ilmor | 2 | engine | 11 | none | | 26 | dnq | 30 | ukyo katayama | larrousse-lamborghini | none | none | none | none | | 27 | dnq | 7 | eric van de poele | brabham-judd | none | none | none | none | | 28 | dnq | 32 | stefano modena | jordan-yamaha | none | none | none | none | | 29 | dnq | 8 | damon hill | brabham-judd | none | none | none | none | | 30 | dnpq | 34 | roberto moreno | moda-judd | none | none | none | none | | 31 | dnpq | 35 | perry mccarthy | moda-judd | none | none | none | none |

| | "length ( driver )" | |---:|:----------------------| | 0 | length ( driver ) | | 1 | length ( driver ) |

select year where role = 'priest' col : year | title | role | notes row 1 : 1991 | let him have it | derek bentley | none row 2 : 1992 | death and the compass | alonso zunz | none row 3 : 1993 | anchoress | priest | none row 4 : 1994 | shallow grave | david | none row 5 : 1996 | jude | jude fawley | none row 6 : 1998 | elizabeth | duke of norfolk | none row 7 : 1998 | a price above rubies | sender horowitz | none row 8 : 1999 | heart | gary ellis | none row 9 : 1999 | existenz | seminar leader | none row 10 : 1999 | with or without you | vincent boyd | none row 11 : 2000 | gone in 60 seconds | raymond calitri | none row 12 : 2000 | the tyre | salesman | short film row 13 : 2001 | the others | charles stewart | none row 14 : 2001 | the invisible circus | wolf | none row 15 : 2001 | this little piggy | cabbie | short film row 16 : 2002 | 24 hour party people | boethius | none row 17 : 2002 | i am dina | leo zhukovsky | none row 18 : 2002 | revengers tragedy | vindici | none row 19 : 2002 | 28 days later | major henry west | none row 20 : 2007 | the dark is rising | the rider | none row 21 : 2008 | new orleans, mon amour | dr. henry | none row 22 : 2009 | g.i. joe: the rise of cobra | james mccullen / destro | none row 23 : 2009 | amelia | fred noonan | none row 24 : 2009 | the happiness salesman | salesman | short film row 25 : 2012 | song for marion | james harris | none row 26 : 2013 | thor: the dark world | malekith | none

col : year row 1 : 1993

select year where role = 'priest' <table_name> : table \begin{tabular}{lllll} \toprule & year & title & role & notes \\ \midrule 0 & 1991 & let him have it & derek bentley & none \\ 1 & 1992 & death and the compass & alonso zunz & none \\ 2 & 1993 & anchoress & priest & none \\ 3 & 1994 & shallow grave & david & none \\ 4 & 1996 & jude & jude fawley & none \\ 5 & 1998 & elizabeth & duke of norfolk & none \\ 6 & 1998 & a price above rubies & sender horowitz & none \\ 7 & 1999 & heart & gary ellis & none \\ 8 & 1999 & existenz & seminar leader & none \\ 9 & 1999 & with or without you & vincent boyd & none \\ 10 & 2000 & gone in 60 seconds & raymond calitri & none \\ 11 & 2000 & the tyre & salesman & short film \\ 12 & 2001 & the others & charles stewart & none \\ 13 & 2001 & the invisible circus & wolf & none \\ 14 & 2001 & this little piggy & cabbie & short film \\ 15 & 2002 & 24 hour party people & boethius & none \\ 16 & 2002 & i am dina & leo zhukovsky & none \\ 17 & 2002 & revengers tragedy & vindici & none \\ 18 & 2002 & 28 days later & major henry west & none \\ 19 & 2007 & the dark is rising & the rider & none \\ 20 & 2008 & new orleans, mon amour & dr. henry & none \\ 21 & 2009 & g.i. joe: the rise of cobra & james mccullen / destro & none \\ 22 & 2009 & amelia & fred noonan & none \\ 23 & 2009 & the happiness salesman & salesman & short film \\ 24 & 2012 & song for marion & james harris & none \\ 25 & 2013 & thor: the dark world & malekith & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & year \\ \midrule 0 & 1993 \\ \bottomrule \end{tabular}

select year where role = 'priest' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>title</th> <th>role</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1991</td> <td>let him have it</td> <td>derek bentley</td> <td>none</td> </tr> <tr> <th>1</th> <td>1992</td> <td>death and the compass</td> <td>alonso zunz</td> <td>none</td> </tr> <tr> <th>2</th> <td>1993</td> <td>anchoress</td> <td>priest</td> <td>none</td> </tr> <tr> <th>3</th> <td>1994</td> <td>shallow grave</td> <td>david</td> <td>none</td> </tr> <tr> <th>4</th> <td>1996</td> <td>jude</td> <td>jude fawley</td> <td>none</td> </tr> <tr> <th>5</th> <td>1998</td> <td>elizabeth</td> <td>duke of norfolk</td> <td>none</td> </tr> <tr> <th>6</th> <td>1998</td> <td>a price above rubies</td> <td>sender horowitz</td> <td>none</td> </tr> <tr> <th>7</th> <td>1999</td> <td>heart</td> <td>gary ellis</td> <td>none</td> </tr> <tr> <th>8</th> <td>1999</td> <td>existenz</td> <td>seminar leader</td> <td>none</td> </tr> <tr> <th>9</th> <td>1999</td> <td>with or without you</td> <td>vincent boyd</td> <td>none</td> </tr> <tr> <th>10</th> <td>2000</td> <td>gone in 60 seconds</td> <td>raymond calitri</td> <td>none</td> </tr> <tr> <th>11</th> <td>2000</td> <td>the tyre</td> <td>salesman</td> <td>short film</td> </tr> <tr> <th>12</th> <td>2001</td> <td>the others</td> <td>charles stewart</td> <td>none</td> </tr> <tr> <th>13</th> <td>2001</td> <td>the invisible circus</td> <td>wolf</td> <td>none</td> </tr> <tr> <th>14</th> <td>2001</td> <td>this little piggy</td> <td>cabbie</td> <td>short film</td> </tr> <tr> <th>15</th> <td>2002</td> <td>24 hour party people</td> <td>boethius</td> <td>none</td> </tr> <tr> <th>16</th> <td>2002</td> <td>i am dina</td> <td>leo zhukovsky</td> <td>none</td> </tr> <tr> <th>17</th> <td>2002</td> <td>revengers tragedy</td> <td>vindici</td> <td>none</td> </tr> <tr> <th>18</th> <td>2002</td> <td>28 days later</td> <td>major henry west</td> <td>none</td> </tr> <tr> <th>19</th> <td>2007</td> <td>the dark is rising</td> <td>the rider</td> <td>none</td> </tr> <tr> <th>20</th> <td>2008</td> <td>new orleans, mon amour</td> <td>dr. henry</td> <td>none</td> </tr> <tr> <th>21</th> <td>2009</td> <td>g.i. joe: the rise of cobra</td> <td>james mccullen / destro</td> <td>none</td> </tr> <tr> <th>22</th> <td>2009</td> <td>amelia</td> <td>fred noonan</td> <td>none</td> </tr> <tr> <th>23</th> <td>2009</td> <td>the happiness salesman</td> <td>salesman</td> <td>short film</td> </tr> <tr> <th>24</th> <td>2012</td> <td>song for marion</td> <td>james harris</td> <td>none</td> </tr> <tr> <th>25</th> <td>2013</td> <td>thor: the dark world</td> <td>malekith</td> <td>none</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1993</td> </tr> </tbody> </table>

select year where role = 'priest' <table_name> : table | | year | title | role | notes | |---:|-------:|:----------------------------|:------------------------|:-----------| | 0 | 1991 | let him have it | derek bentley | none | | 1 | 1992 | death and the compass | alonso zunz | none | | 2 | 1993 | anchoress | priest | none | | 3 | 1994 | shallow grave | david | none | | 4 | 1996 | jude | jude fawley | none | | 5 | 1998 | elizabeth | duke of norfolk | none | | 6 | 1998 | a price above rubies | sender horowitz | none | | 7 | 1999 | heart | gary ellis | none | | 8 | 1999 | existenz | seminar leader | none | | 9 | 1999 | with or without you | vincent boyd | none | | 10 | 2000 | gone in 60 seconds | raymond calitri | none | | 11 | 2000 | the tyre | salesman | short film | | 12 | 2001 | the others | charles stewart | none | | 13 | 2001 | the invisible circus | wolf | none | | 14 | 2001 | this little piggy | cabbie | short film | | 15 | 2002 | 24 hour party people | boethius | none | | 16 | 2002 | i am dina | leo zhukovsky | none | | 17 | 2002 | revengers tragedy | vindici | none | | 18 | 2002 | 28 days later | major henry west | none | | 19 | 2007 | the dark is rising | the rider | none | | 20 | 2008 | new orleans, mon amour | dr. henry | none | | 21 | 2009 | g.i. joe: the rise of cobra | james mccullen / destro | none | | 22 | 2009 | amelia | fred noonan | none | | 23 | 2009 | the happiness salesman | salesman | short film | | 24 | 2012 | song for marion | james harris | none | | 25 | 2013 | thor: the dark world | malekith | none |

| | year | |---:|-------:| | 0 | 1993 |

select school (year) where previous clerkship = 'none' col : clerk | started | finished | school (year) | previous clerkship row 1 : kenneth w. dam | 1957 | 1958 | chicago (1957) | none row 2 : alan c. kohn | 1957 | 1958 | wash u (1955) | none row 3 : william c. canby, jr | 1958 | 1959 | minnesota (1956) | none row 4 : heywood h. davis | 1958 | 1959 | kansas (1958) | none row 5 : jerome b. libin | 1959 | 1960 | michigan (1959) | none row 6 : patrick f. mccartan | 1959 | 1960 | notre dame (1959) | none row 7 : d. lawrence gunnels | 1961 | 1962 | wash u (1960) | none

col : school (year) row 1 : chicago (1957) row 2 : wash u (1955) row 3 : minnesota (1956) row 4 : kansas (1958) row 5 : michigan (1959) row 6 : notre dame (1959) row 7 : wash u (1960)

select school (year) where previous clerkship = 'none' <table_name> : table \begin{tabular}{llllll} \toprule & clerk & started & finished & school (year) & previous clerkship \\ \midrule 0 & kenneth w. dam & 1957 & 1958 & chicago (1957) & none \\ 1 & alan c. kohn & 1957 & 1958 & wash u (1955) & none \\ 2 & william c. canby, jr & 1958 & 1959 & minnesota (1956) & none \\ 3 & heywood h. davis & 1958 & 1959 & kansas (1958) & none \\ 4 & jerome b. libin & 1959 & 1960 & michigan (1959) & none \\ 5 & patrick f. mccartan & 1959 & 1960 & notre dame (1959) & none \\ 6 & d. lawrence gunnels & 1961 & 1962 & wash u (1960) & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & school (year) \\ \midrule 0 & chicago (1957) \\ 1 & wash u (1955) \\ 2 & minnesota (1956) \\ 3 & kansas (1958) \\ 4 & michigan (1959) \\ 5 & notre dame (1959) \\ 6 & wash u (1960) \\ \bottomrule \end{tabular}

select school (year) where previous clerkship = 'none' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>clerk</th> <th>started</th> <th>finished</th> <th>school (year)</th> <th>previous clerkship</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>kenneth w. dam</td> <td>1957</td> <td>1958</td> <td>chicago (1957)</td> <td>none</td> </tr> <tr> <th>1</th> <td>alan c. kohn</td> <td>1957</td> <td>1958</td> <td>wash u (1955)</td> <td>none</td> </tr> <tr> <th>2</th> <td>william c. canby, jr</td> <td>1958</td> <td>1959</td> <td>minnesota (1956)</td> <td>none</td> </tr> <tr> <th>3</th> <td>heywood h. davis</td> <td>1958</td> <td>1959</td> <td>kansas (1958)</td> <td>none</td> </tr> <tr> <th>4</th> <td>jerome b. libin</td> <td>1959</td> <td>1960</td> <td>michigan (1959)</td> <td>none</td> </tr> <tr> <th>5</th> <td>patrick f. mccartan</td> <td>1959</td> <td>1960</td> <td>notre dame (1959)</td> <td>none</td> </tr> <tr> <th>6</th> <td>d. lawrence gunnels</td> <td>1961</td> <td>1962</td> <td>wash u (1960)</td> <td>none</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>school (year)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>chicago (1957)</td> </tr> <tr> <th>1</th> <td>wash u (1955)</td> </tr> <tr> <th>2</th> <td>minnesota (1956)</td> </tr> <tr> <th>3</th> <td>kansas (1958)</td> </tr> <tr> <th>4</th> <td>michigan (1959)</td> </tr> <tr> <th>5</th> <td>notre dame (1959)</td> </tr> <tr> <th>6</th> <td>wash u (1960)</td> </tr> </tbody> </table>

select school (year) where previous clerkship = 'none' <table_name> : table | | clerk | started | finished | school (year) | previous clerkship | |---:|:---------------------|----------:|-----------:|:------------------|:---------------------| | 0 | kenneth w. dam | 1957 | 1958 | chicago (1957) | none | | 1 | alan c. kohn | 1957 | 1958 | wash u (1955) | none | | 2 | william c. canby, jr | 1958 | 1959 | minnesota (1956) | none | | 3 | heywood h. davis | 1958 | 1959 | kansas (1958) | none | | 4 | jerome b. libin | 1959 | 1960 | michigan (1959) | none | | 5 | patrick f. mccartan | 1959 | 1960 | notre dame (1959) | none | | 6 | d. lawrence gunnels | 1961 | 1962 | wash u (1960) | none |

| | school (year) | |---:|:------------------| | 0 | chicago (1957) | | 1 | wash u (1955) | | 2 | minnesota (1956) | | 3 | kansas (1958) | | 4 | michigan (1959) | | 5 | notre dame (1959) | | 6 | wash u (1960) |

select viewers (m) where air date = 'april 29, 2008' col : # | episode | air date | rating | share | 18-49 (rating/share) | viewers (m) | rank (night) | rank (timeslot) | rank (overall) row 1 : 1 | "welcome to the club" | october 12, 2007 | 7.3 | 13 | 2.5/8 | 10.82 | #1 | #1 | #26 row 2 : 2 | "train in vain" | october 19, 2007 | 6.5 | 12 | 2.0/6 | 9.69 | #2 | #1 | #37 row 3 : 3 | "blind dates and bleeding hearts" | october 26, 2007 | 6.1 | 11 | 1.9/6 | 8.9 | #1 | #1 | #41 row 4 : 4 | "grannies, guns, love mints" | november 2, 2007 | 6.4 | 11 | 1.9/6 | 9.47 | #1 | #1 | #35 row 5 : 5 | "maybe, baby" | november 9, 2007 | 6.5 | 11 | 2.0/6 | 9.7 | #1 | #1 | #36 row 6 : 6 | "play through the pain" | november 15, 2007 | 6.1 | 10 | 3.3/9 | 8.93 | #8 | #3 | #45 row 7 : 7 | "the past comes back to haunt you" | november 16, 2007 | 6.2 | 11 | 1.7/5 | 8.94 | #4 | #1 | #41 row 8 : 8 | "no opportunity necessary" | november 23, 2007 | 5.3 | 9 | 1.6/5 | 7.76 | #3 | #1 | #45 row 9 : 9 | "to drag & to hold" | december 7, 2007 | 5.8 | 10 | 1.8/5 | 8.58 | #2 | #1 | #32 row 10 : 10 | "fbi guy" | january 4, 2008 | 5.2 | 9 | 1.8/5 | 7.68 | #2 | #1 | #36 row 11 : 11 | "father's day" | april 29, 2008 | 5.8 | 9 | 1.9/5 | 8.14 | #7 | #2 | #42 row 12 : 12 | "and the truth will (sometimes) set you free" | may 6, 2008 | 6.1 | 10 | 2.2/6 | 8.68 | #8 | #2 | none row 13 : 13 | "never tell" | may 13, 2008 | 5.8 | 10 | 2.1/6 | 8.46 | none | #2 | none

col : viewers (m) row 1 : 8.14

select viewers (m) where air date = 'april 29, 2008' <table_name> : table \begin{tabular}{lllllllllll} \toprule & # & episode & air date & rating & share & 18-49 (rating/share) & viewers (m) & rank (night) & rank (timeslot) & rank (overall) \\ \midrule 0 & 1 & "welcome to the club" & october 12, 2007 & 7.3 & 13 & 2.5/8 & 10.82 & #1 & #1 & #26 \\ 1 & 2 & "train in vain" & october 19, 2007 & 6.5 & 12 & 2.0/6 & 9.69 & #2 & #1 & #37 \\ 2 & 3 & "blind dates and bleeding hearts" & october 26, 2007 & 6.1 & 11 & 1.9/6 & 8.9 & #1 & #1 & #41 \\ 3 & 4 & "grannies, guns, love mints" & november 2, 2007 & 6.4 & 11 & 1.9/6 & 9.47 & #1 & #1 & #35 \\ 4 & 5 & "maybe, baby" & november 9, 2007 & 6.5 & 11 & 2.0/6 & 9.7 & #1 & #1 & #36 \\ 5 & 6 & "play through the pain" & november 15, 2007 & 6.1 & 10 & 3.3/9 & 8.93 & #8 & #3 & #45 \\ 6 & 7 & "the past comes back to haunt you" & november 16, 2007 & 6.2 & 11 & 1.7/5 & 8.94 & #4 & #1 & #41 \\ 7 & 8 & "no opportunity necessary" & november 23, 2007 & 5.3 & 9 & 1.6/5 & 7.76 & #3 & #1 & #45 \\ 8 & 9 & "to drag & to hold" & december 7, 2007 & 5.8 & 10 & 1.8/5 & 8.58 & #2 & #1 & #32 \\ 9 & 10 & "fbi guy" & january 4, 2008 & 5.2 & 9 & 1.8/5 & 7.68 & #2 & #1 & #36 \\ 10 & 11 & "father's day" & april 29, 2008 & 5.8 & 9 & 1.9/5 & 8.14 & #7 & #2 & #42 \\ 11 & 12 & "and the truth will (sometimes) set you free" & may 6, 2008 & 6.1 & 10 & 2.2/6 & 8.68 & #8 & #2 & none \\ 12 & 13 & "never tell" & may 13, 2008 & 5.8 & 10 & 2.1/6 & 8.46 & none & #2 & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & viewers (m) \\ \midrule 0 & 8.14 \\ \bottomrule \end{tabular}

select viewers (m) where air date = 'april 29, 2008' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>#</th> <th>episode</th> <th>air date</th> <th>rating</th> <th>share</th> <th>18-49 (rating/share)</th> <th>viewers (m)</th> <th>rank (night)</th> <th>rank (timeslot)</th> <th>rank (overall)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>"welcome to the club"</td> <td>october 12, 2007</td> <td>7.3</td> <td>13</td> <td>2.5/8</td> <td>10.82</td> <td>#1</td> <td>#1</td> <td>#26</td> </tr> <tr> <th>1</th> <td>2</td> <td>"train in vain"</td> <td>october 19, 2007</td> <td>6.5</td> <td>12</td> <td>2.0/6</td> <td>9.69</td> <td>#2</td> <td>#1</td> <td>#37</td> </tr> <tr> <th>2</th> <td>3</td> <td>"blind dates and bleeding hearts"</td> <td>october 26, 2007</td> <td>6.1</td> <td>11</td> <td>1.9/6</td> <td>8.9</td> <td>#1</td> <td>#1</td> <td>#41</td> </tr> <tr> <th>3</th> <td>4</td> <td>"grannies, guns, love mints"</td> <td>november 2, 2007</td> <td>6.4</td> <td>11</td> <td>1.9/6</td> <td>9.47</td> <td>#1</td> <td>#1</td> <td>#35</td> </tr> <tr> <th>4</th> <td>5</td> <td>"maybe, baby"</td> <td>november 9, 2007</td> <td>6.5</td> <td>11</td> <td>2.0/6</td> <td>9.7</td> <td>#1</td> <td>#1</td> <td>#36</td> </tr> <tr> <th>5</th> <td>6</td> <td>"play through the pain"</td> <td>november 15, 2007</td> <td>6.1</td> <td>10</td> <td>3.3/9</td> <td>8.93</td> <td>#8</td> <td>#3</td> <td>#45</td> </tr> <tr> <th>6</th> <td>7</td> <td>"the past comes back to haunt you"</td> <td>november 16, 2007</td> <td>6.2</td> <td>11</td> <td>1.7/5</td> <td>8.94</td> <td>#4</td> <td>#1</td> <td>#41</td> </tr> <tr> <th>7</th> <td>8</td> <td>"no opportunity necessary"</td> <td>november 23, 2007</td> <td>5.3</td> <td>9</td> <td>1.6/5</td> <td>7.76</td> <td>#3</td> <td>#1</td> <td>#45</td> </tr> <tr> <th>8</th> <td>9</td> <td>"to drag &amp; to hold"</td> <td>december 7, 2007</td> <td>5.8</td> <td>10</td> <td>1.8/5</td> <td>8.58</td> <td>#2</td> <td>#1</td> <td>#32</td> </tr> <tr> <th>9</th> <td>10</td> <td>"fbi guy"</td> <td>january 4, 2008</td> <td>5.2</td> <td>9</td> <td>1.8/5</td> <td>7.68</td> <td>#2</td> <td>#1</td> <td>#36</td> </tr> <tr> <th>10</th> <td>11</td> <td>"father's day"</td> <td>april 29, 2008</td> <td>5.8</td> <td>9</td> <td>1.9/5</td> <td>8.14</td> <td>#7</td> <td>#2</td> <td>#42</td> </tr> <tr> <th>11</th> <td>12</td> <td>"and the truth will (sometimes) set you free"</td> <td>may 6, 2008</td> <td>6.1</td> <td>10</td> <td>2.2/6</td> <td>8.68</td> <td>#8</td> <td>#2</td> <td>none</td> </tr> <tr> <th>12</th> <td>13</td> <td>"never tell"</td> <td>may 13, 2008</td> <td>5.8</td> <td>10</td> <td>2.1/6</td> <td>8.46</td> <td>none</td> <td>#2</td> <td>none</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>viewers (m)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>8.14</td> </tr> </tbody> </table>

select viewers (m) where air date = 'april 29, 2008' <table_name> : table | | # | episode | air date | rating | share | 18-49 (rating/share) | viewers (m) | rank (night) | rank (timeslot) | rank (overall) | |---:|----:|:----------------------------------------------|:------------------|---------:|--------:|:-----------------------|--------------:|:---------------|:------------------|:-----------------| | 0 | 1 | "welcome to the club" | october 12, 2007 | 7.3 | 13 | 2.5/8 | 10.82 | #1 | #1 | #26 | | 1 | 2 | "train in vain" | october 19, 2007 | 6.5 | 12 | 2.0/6 | 9.69 | #2 | #1 | #37 | | 2 | 3 | "blind dates and bleeding hearts" | october 26, 2007 | 6.1 | 11 | 1.9/6 | 8.9 | #1 | #1 | #41 | | 3 | 4 | "grannies, guns, love mints" | november 2, 2007 | 6.4 | 11 | 1.9/6 | 9.47 | #1 | #1 | #35 | | 4 | 5 | "maybe, baby" | november 9, 2007 | 6.5 | 11 | 2.0/6 | 9.7 | #1 | #1 | #36 | | 5 | 6 | "play through the pain" | november 15, 2007 | 6.1 | 10 | 3.3/9 | 8.93 | #8 | #3 | #45 | | 6 | 7 | "the past comes back to haunt you" | november 16, 2007 | 6.2 | 11 | 1.7/5 | 8.94 | #4 | #1 | #41 | | 7 | 8 | "no opportunity necessary" | november 23, 2007 | 5.3 | 9 | 1.6/5 | 7.76 | #3 | #1 | #45 | | 8 | 9 | "to drag & to hold" | december 7, 2007 | 5.8 | 10 | 1.8/5 | 8.58 | #2 | #1 | #32 | | 9 | 10 | "fbi guy" | january 4, 2008 | 5.2 | 9 | 1.8/5 | 7.68 | #2 | #1 | #36 | | 10 | 11 | "father's day" | april 29, 2008 | 5.8 | 9 | 1.9/5 | 8.14 | #7 | #2 | #42 | | 11 | 12 | "and the truth will (sometimes) set you free" | may 6, 2008 | 6.1 | 10 | 2.2/6 | 8.68 | #8 | #2 | none | | 12 | 13 | "never tell" | may 13, 2008 | 5.8 | 10 | 2.1/6 | 8.46 | none | #2 | none |

| | viewers (m) | |---:|--------------:| | 0 | 8.14 |

select count ( notes ) where rank < 1730 col : rank | heat | name | nationality | time | notes row 1 : 1 | 1 | lacena golding-clarke | jamaica | 12.74 | q, pb row 2 : 2 | 1 | vonette dixon | jamaica | 12.83 | q, pb row 3 : 3 | 2 | diane allahgreen | england | 12.92 | q, pb row 4 : 4 | 2 | brigitte foster | jamaica | 12.98 | q row 5 : 5 | 2 | angela atede | nigeria | 13.01 | q, sb row 6 : 6 | 1 | angela whyte | canada | 13.03 | q, pb row 7 : 7 | 1 | julie pratt | england | 13.08 | q, pb row 8 : 8 | 2 | jacquie munro | australia | 13.22 | q row 9 : 9 | 1 | melanie wilkins | england | 13.29 | none row 10 : 9 | 2 | sriyani kulawansa | sri lanka | 13.29 | none row 11 : 11 | 1 | fiona cullen | australia | 13.45 | none row 12 : 12 | 2 | rachel king | wales | 13.58 | none row 13 : 13 | 2 | tamsin stephens | northern ireland | 13.59 | none row 14 : 14 | 1 | christy akinremi | nigeria | 13.73 | none row 15 : none | 2 | shabana khattak | pakistan | dnf | none row 16 : none | 1 | carole kaboud mebam | cameroon | dns | none row 17 : none | 1 | olutoyin augustus | nigeria | dns | none

col : count ( "notes" ) row 1 : 5

select count ( notes ) where rank < 1730 <table_name> : table \begin{tabular}{lllllll} \toprule & rank & heat & name & nationality & time & notes \\ \midrule 0 & 1 & 1 & lacena golding-clarke & jamaica & 12.74 & q, pb \\ 1 & 2 & 1 & vonette dixon & jamaica & 12.83 & q, pb \\ 2 & 3 & 2 & diane allahgreen & england & 12.92 & q, pb \\ 3 & 4 & 2 & brigitte foster & jamaica & 12.98 & q \\ 4 & 5 & 2 & angela atede & nigeria & 13.01 & q, sb \\ 5 & 6 & 1 & angela whyte & canada & 13.03 & q, pb \\ 6 & 7 & 1 & julie pratt & england & 13.08 & q, pb \\ 7 & 8 & 2 & jacquie munro & australia & 13.22 & q \\ 8 & 9 & 1 & melanie wilkins & england & 13.29 & none \\ 9 & 9 & 2 & sriyani kulawansa & sri lanka & 13.29 & none \\ 10 & 11 & 1 & fiona cullen & australia & 13.45 & none \\ 11 & 12 & 2 & rachel king & wales & 13.58 & none \\ 12 & 13 & 2 & tamsin stephens & northern ireland & 13.59 & none \\ 13 & 14 & 1 & christy akinremi & nigeria & 13.73 & none \\ 14 & none & 2 & shabana khattak & pakistan & dnf & none \\ 15 & none & 1 & carole kaboud mebam & cameroon & dns & none \\ 16 & none & 1 & olutoyin augustus & nigeria & dns & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "notes" ) \\ \midrule 0 & 5 \\ \bottomrule \end{tabular}

select count ( notes ) where rank < 1730 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>rank</th> <th>heat</th> <th>name</th> <th>nationality</th> <th>time</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>1</td> <td>lacena golding-clarke</td> <td>jamaica</td> <td>12.74</td> <td>q, pb</td> </tr> <tr> <th>1</th> <td>2</td> <td>1</td> <td>vonette dixon</td> <td>jamaica</td> <td>12.83</td> <td>q, pb</td> </tr> <tr> <th>2</th> <td>3</td> <td>2</td> <td>diane allahgreen</td> <td>england</td> <td>12.92</td> <td>q, pb</td> </tr> <tr> <th>3</th> <td>4</td> <td>2</td> <td>brigitte foster</td> <td>jamaica</td> <td>12.98</td> <td>q</td> </tr> <tr> <th>4</th> <td>5</td> <td>2</td> <td>angela atede</td> <td>nigeria</td> <td>13.01</td> <td>q, sb</td> </tr> <tr> <th>5</th> <td>6</td> <td>1</td> <td>angela whyte</td> <td>canada</td> <td>13.03</td> <td>q, pb</td> </tr> <tr> <th>6</th> <td>7</td> <td>1</td> <td>julie pratt</td> <td>england</td> <td>13.08</td> <td>q, pb</td> </tr> <tr> <th>7</th> <td>8</td> <td>2</td> <td>jacquie munro</td> <td>australia</td> <td>13.22</td> <td>q</td> </tr> <tr> <th>8</th> <td>9</td> <td>1</td> <td>melanie wilkins</td> <td>england</td> <td>13.29</td> <td>none</td> </tr> <tr> <th>9</th> <td>9</td> <td>2</td> <td>sriyani kulawansa</td> <td>sri lanka</td> <td>13.29</td> <td>none</td> </tr> <tr> <th>10</th> <td>11</td> <td>1</td> <td>fiona cullen</td> <td>australia</td> <td>13.45</td> <td>none</td> </tr> <tr> <th>11</th> <td>12</td> <td>2</td> <td>rachel king</td> <td>wales</td> <td>13.58</td> <td>none</td> </tr> <tr> <th>12</th> <td>13</td> <td>2</td> <td>tamsin stephens</td> <td>northern ireland</td> <td>13.59</td> <td>none</td> </tr> <tr> <th>13</th> <td>14</td> <td>1</td> <td>christy akinremi</td> <td>nigeria</td> <td>13.73</td> <td>none</td> </tr> <tr> <th>14</th> <td>none</td> <td>2</td> <td>shabana khattak</td> <td>pakistan</td> <td>dnf</td> <td>none</td> </tr> <tr> <th>15</th> <td>none</td> <td>1</td> <td>carole kaboud mebam</td> <td>cameroon</td> <td>dns</td> <td>none</td> </tr> <tr> <th>16</th> <td>none</td> <td>1</td> <td>olutoyin augustus</td> <td>nigeria</td> <td>dns</td> <td>none</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "notes" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>5</td> </tr> </tbody> </table>

select count ( notes ) where rank < 1730 <table_name> : table | | rank | heat | name | nationality | time | notes | |---:|:-------|-------:|:----------------------|:-----------------|:-------|:--------| | 0 | 1 | 1 | lacena golding-clarke | jamaica | 12.74 | q, pb | | 1 | 2 | 1 | vonette dixon | jamaica | 12.83 | q, pb | | 2 | 3 | 2 | diane allahgreen | england | 12.92 | q, pb | | 3 | 4 | 2 | brigitte foster | jamaica | 12.98 | q | | 4 | 5 | 2 | angela atede | nigeria | 13.01 | q, sb | | 5 | 6 | 1 | angela whyte | canada | 13.03 | q, pb | | 6 | 7 | 1 | julie pratt | england | 13.08 | q, pb | | 7 | 8 | 2 | jacquie munro | australia | 13.22 | q | | 8 | 9 | 1 | melanie wilkins | england | 13.29 | none | | 9 | 9 | 2 | sriyani kulawansa | sri lanka | 13.29 | none | | 10 | 11 | 1 | fiona cullen | australia | 13.45 | none | | 11 | 12 | 2 | rachel king | wales | 13.58 | none | | 12 | 13 | 2 | tamsin stephens | northern ireland | 13.59 | none | | 13 | 14 | 1 | christy akinremi | nigeria | 13.73 | none | | 14 | none | 2 | shabana khattak | pakistan | dnf | none | | 15 | none | 1 | carole kaboud mebam | cameroon | dns | none | | 16 | none | 1 | olutoyin augustus | nigeria | dns | none |

| | count ( "notes" ) | |---:|--------------------:| | 0 | 5 |

select count ( number ) where notes = 'built as bangor and aroostook railroad # 77; acquired 1998; never delivered' col : number | builder | type | date | works number | notes row 1 : 51 | baldwin locomotive works | ds4-4-750 | 1949 | 74408 | acquired new 1949, retired 1970/wrecked-scrapped row 2 : 52 | baldwin locomotive works | ds4-4-750 | 1949 | 74409 | acquired new 1949, retired in 1970 and scrapped in 1990 row 3 : 53 | baldwin locomotive works | ds4-4-1000 | 1949 | 74193 | ex-pan american engineering w8380; nee army corps of engineers w8380, acquired 1956, retired in 1985, to john bradley, 1985; to roots of motive power collection row 4 : 54 | baldwin locomotive works | s-12 | 1952/1953 | 75823 | ex-nw (3307); nee wab 307, wrecked 1968, retired 1970, scrapped row 5 : 55 | baldwin locomotive works | rs-12 | 1955 | 76024 | decorated for the united states bicentennial nee mr 32, acquired 1968, scrapped 1995 row 6 : 56 | baldwin locomotive works | rs-12 | 1955 | 76105 | nee mr 33, acquired 1970, retired 1985 to john bradley, 1985; to travel town museum (los angeles, ca)56 row 7 : 57 | baldwin locomotive works | s-12 | 1953 | 75914 | nee sp 1539, acquired 1970, retired unknown, stored at willits, california row 8 : 61 | american locomotive works | rs-11 | 1979 | none | former sp. status unknown row 9 : 62 | american locomotive works | rs-11 | 1979 | none | former sp. status unknown row 10 : 63 | american locomotive works | rs-11 | 1979 | none | former sp. sold to nvrr 1987 row 11 : 64 | electro-motive diesel | gp9m | 1987 | none | former sp # 3411. operational and in regular service row 12 : 65 | electro-motive diesel | gp9m | 1987 | none | former sp # 3412. operational row 13 : 66 | electro-motive diesel | gp9m | 1956 | none | former c&o # 6145. acquired 1998. operational and in regular service row 14 : 67 | electro-motive diesel | gp9m | 6/1954 | 19554 | built as bangor and aroostook railroad # 77; acquired 1998; never delivered row 15 : m-80 | mack | railbus | 1923 | none | purchased 1925. wrecked twice: in 1957 with a delivery truck, and in 1964 with m-100. scrapped 1964 row 16 : m-100 | edwards rail car company | motor car | 1925 | none | acquired from moorhead & north forks railroad; operable. recently repainted back to historic yellow scheme row 17 : m-200 | ss&iw | motor car | 1927 | none | ex-trc #22; nee-lpn 20; to niles canyon railway, 1975; operable on niles canyon railway row 18 : m-300 | american car and foundry company | motor car | 1935 | none | m-300 at fort bragg ex-slgw; nee ar; operable

col : count ( "number" ) row 1 : 1

select count ( number ) where notes = 'built as bangor and aroostook railroad # 77; acquired 1998; never delivered' <table_name> : table \begin{tabular}{lllllll} \toprule & number & builder & type & date & works number & notes \\ \midrule 0 & 51 & baldwin locomotive works & ds4-4-750 & 1949 & 74408 & acquired new 1949, retired 1970/wrecked-scrapped \\ 1 & 52 & baldwin locomotive works & ds4-4-750 & 1949 & 74409 & acquired new 1949, retired in 1970 and scrapped in 1990 \\ 2 & 53 & baldwin locomotive works & ds4-4-1000 & 1949 & 74193 & ex-pan american engineering w8380; nee army corps of engineers w8380, acquired 1956, retired in 1985, to john bradley, 1985; to roots of motive power collection \\ 3 & 54 & baldwin locomotive works & s-12 & 1952/1953 & 75823 & ex-nw (3307); nee wab 307, wrecked 1968, retired 1970, scrapped \\ 4 & 55 & baldwin locomotive works & rs-12 & 1955 & 76024 & decorated for the united states bicentennial nee mr 32, acquired 1968, scrapped 1995 \\ 5 & 56 & baldwin locomotive works & rs-12 & 1955 & 76105 & nee mr 33, acquired 1970, retired 1985 to john bradley, 1985; to travel town museum (los angeles, ca)56 \\ 6 & 57 & baldwin locomotive works & s-12 & 1953 & 75914 & nee sp 1539, acquired 1970, retired unknown, stored at willits, california \\ 7 & 61 & american locomotive works & rs-11 & 1979 & none & former sp. status unknown \\ 8 & 62 & american locomotive works & rs-11 & 1979 & none & former sp. status unknown \\ 9 & 63 & american locomotive works & rs-11 & 1979 & none & former sp. sold to nvrr 1987 \\ 10 & 64 & electro-motive diesel & gp9m & 1987 & none & former sp # 3411. operational and in regular service \\ 11 & 65 & electro-motive diesel & gp9m & 1987 & none & former sp # 3412. operational \\ 12 & 66 & electro-motive diesel & gp9m & 1956 & none & former c&o # 6145. acquired 1998. operational and in regular service \\ 13 & 67 & electro-motive diesel & gp9m & 6/1954 & 19554 & built as bangor and aroostook railroad # 77; acquired 1998; never delivered \\ 14 & m-80 & mack & railbus & 1923 & none & purchased 1925. wrecked twice: in 1957 with a delivery truck, and in 1964 with m-100. scrapped 1964 \\ 15 & m-100 & edwards rail car company & motor car & 1925 & none & acquired from moorhead & north forks railroad; operable. recently repainted back to historic yellow scheme \\ 16 & m-200 & ss&iw & motor car & 1927 & none & ex-trc #22; nee-lpn 20; to niles canyon railway, 1975; operable on niles canyon railway \\ 17 & m-300 & american car and foundry company & motor car & 1935 & none & m-300 at fort bragg ex-slgw; nee ar; operable \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "number" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( number ) where notes = 'built as bangor and aroostook railroad # 77; acquired 1998; never delivered' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>number</th> <th>builder</th> <th>type</th> <th>date</th> <th>works number</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>51</td> <td>baldwin locomotive works</td> <td>ds4-4-750</td> <td>1949</td> <td>74408</td> <td>acquired new 1949, retired 1970/wrecked-scrapped</td> </tr> <tr> <th>1</th> <td>52</td> <td>baldwin locomotive works</td> <td>ds4-4-750</td> <td>1949</td> <td>74409</td> <td>acquired new 1949, retired in 1970 and scrapped in 1990</td> </tr> <tr> <th>2</th> <td>53</td> <td>baldwin locomotive works</td> <td>ds4-4-1000</td> <td>1949</td> <td>74193</td> <td>ex-pan american engineering w8380; nee army corps of engineers w8380, acquired 1956, retired in 1985, to john bradley, 1985; to roots of motive power collection</td> </tr> <tr> <th>3</th> <td>54</td> <td>baldwin locomotive works</td> <td>s-12</td> <td>1952/1953</td> <td>75823</td> <td>ex-nw (3307); nee wab 307, wrecked 1968, retired 1970, scrapped</td> </tr> <tr> <th>4</th> <td>55</td> <td>baldwin locomotive works</td> <td>rs-12</td> <td>1955</td> <td>76024</td> <td>decorated for the united states bicentennial nee mr 32, acquired 1968, scrapped 1995</td> </tr> <tr> <th>5</th> <td>56</td> <td>baldwin locomotive works</td> <td>rs-12</td> <td>1955</td> <td>76105</td> <td>nee mr 33, acquired 1970, retired 1985 to john bradley, 1985; to travel town museum (los angeles, ca)56</td> </tr> <tr> <th>6</th> <td>57</td> <td>baldwin locomotive works</td> <td>s-12</td> <td>1953</td> <td>75914</td> <td>nee sp 1539, acquired 1970, retired unknown, stored at willits, california</td> </tr> <tr> <th>7</th> <td>61</td> <td>american locomotive works</td> <td>rs-11</td> <td>1979</td> <td>none</td> <td>former sp. status unknown</td> </tr> <tr> <th>8</th> <td>62</td> <td>american locomotive works</td> <td>rs-11</td> <td>1979</td> <td>none</td> <td>former sp. status unknown</td> </tr> <tr> <th>9</th> <td>63</td> <td>american locomotive works</td> <td>rs-11</td> <td>1979</td> <td>none</td> <td>former sp. sold to nvrr 1987</td> </tr> <tr> <th>10</th> <td>64</td> <td>electro-motive diesel</td> <td>gp9m</td> <td>1987</td> <td>none</td> <td>former sp # 3411. operational and in regular service</td> </tr> <tr> <th>11</th> <td>65</td> <td>electro-motive diesel</td> <td>gp9m</td> <td>1987</td> <td>none</td> <td>former sp # 3412. operational</td> </tr> <tr> <th>12</th> <td>66</td> <td>electro-motive diesel</td> <td>gp9m</td> <td>1956</td> <td>none</td> <td>former c&amp;o # 6145. acquired 1998. operational and in regular service</td> </tr> <tr> <th>13</th> <td>67</td> <td>electro-motive diesel</td> <td>gp9m</td> <td>6/1954</td> <td>19554</td> <td>built as bangor and aroostook railroad # 77; acquired 1998; never delivered</td> </tr> <tr> <th>14</th> <td>m-80</td> <td>mack</td> <td>railbus</td> <td>1923</td> <td>none</td> <td>purchased 1925. wrecked twice: in 1957 with a delivery truck, and in 1964 with m-100. scrapped 1964</td> </tr> <tr> <th>15</th> <td>m-100</td> <td>edwards rail car company</td> <td>motor car</td> <td>1925</td> <td>none</td> <td>acquired from moorhead &amp; north forks railroad; operable. recently repainted back to historic yellow scheme</td> </tr> <tr> <th>16</th> <td>m-200</td> <td>ss&amp;iw</td> <td>motor car</td> <td>1927</td> <td>none</td> <td>ex-trc #22; nee-lpn 20; to niles canyon railway, 1975; operable on niles canyon railway</td> </tr> <tr> <th>17</th> <td>m-300</td> <td>american car and foundry company</td> <td>motor car</td> <td>1935</td> <td>none</td> <td>m-300 at fort bragg ex-slgw; nee ar; operable</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "number" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( number ) where notes = 'built as bangor and aroostook railroad # 77; acquired 1998; never delivered' <table_name> : table | | number | builder | type | date | works number | notes | |---:|:---------|:---------------------------------|:-----------|:----------|:---------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 51 | baldwin locomotive works | ds4-4-750 | 1949 | 74408 | acquired new 1949, retired 1970/wrecked-scrapped | | 1 | 52 | baldwin locomotive works | ds4-4-750 | 1949 | 74409 | acquired new 1949, retired in 1970 and scrapped in 1990 | | 2 | 53 | baldwin locomotive works | ds4-4-1000 | 1949 | 74193 | ex-pan american engineering w8380; nee army corps of engineers w8380, acquired 1956, retired in 1985, to john bradley, 1985; to roots of motive power collection | | 3 | 54 | baldwin locomotive works | s-12 | 1952/1953 | 75823 | ex-nw (3307); nee wab 307, wrecked 1968, retired 1970, scrapped | | 4 | 55 | baldwin locomotive works | rs-12 | 1955 | 76024 | decorated for the united states bicentennial nee mr 32, acquired 1968, scrapped 1995 | | 5 | 56 | baldwin locomotive works | rs-12 | 1955 | 76105 | nee mr 33, acquired 1970, retired 1985 to john bradley, 1985; to travel town museum (los angeles, ca)56 | | 6 | 57 | baldwin locomotive works | s-12 | 1953 | 75914 | nee sp 1539, acquired 1970, retired unknown, stored at willits, california | | 7 | 61 | american locomotive works | rs-11 | 1979 | none | former sp. status unknown | | 8 | 62 | american locomotive works | rs-11 | 1979 | none | former sp. status unknown | | 9 | 63 | american locomotive works | rs-11 | 1979 | none | former sp. sold to nvrr 1987 | | 10 | 64 | electro-motive diesel | gp9m | 1987 | none | former sp # 3411. operational and in regular service | | 11 | 65 | electro-motive diesel | gp9m | 1987 | none | former sp # 3412. operational | | 12 | 66 | electro-motive diesel | gp9m | 1956 | none | former c&o # 6145. acquired 1998. operational and in regular service | | 13 | 67 | electro-motive diesel | gp9m | 6/1954 | 19554 | built as bangor and aroostook railroad # 77; acquired 1998; never delivered | | 14 | m-80 | mack | railbus | 1923 | none | purchased 1925. wrecked twice: in 1957 with a delivery truck, and in 1964 with m-100. scrapped 1964 | | 15 | m-100 | edwards rail car company | motor car | 1925 | none | acquired from moorhead & north forks railroad; operable. recently repainted back to historic yellow scheme | | 16 | m-200 | ss&iw | motor car | 1927 | none | ex-trc #22; nee-lpn 20; to niles canyon railway, 1975; operable on niles canyon railway | | 17 | m-300 | american car and foundry company | motor car | 1935 | none | m-300 at fort bragg ex-slgw; nee ar; operable |

| | count ( "number" ) | |---:|---------------------:| | 0 | 1 |

select count ( * ) where opponent = 'new york jets' col : week | date | opponent | result | attendance row 1 : 1 | 1982-09-12 00:00:00 | at new york jets | w 45-28 | 53,360 row 2 : 2 | 1982-09-19 00:00:00 | baltimore colts | w 24-20 | 51,999 row 3 : 3 | 1982-11-21 00:00:00 | at buffalo bills | w 9-7 | 52,945 row 4 : 4 | 1982-11-29 00:00:00 | at tampa bay buccaneers | l 17-23 | 65,854 row 5 : 5 | 1982-12-05 00:00:00 | minnesota vikings | w 22-14 | 45,721 row 6 : 6 | 1982-12-12 00:00:00 | at new england patriots | l 0-3 | 25,716 row 7 : 7 | 1982-12-18 00:00:00 | new york jets | w 20-19 | 67,702 row 8 : 8 | 1982-12-27 00:00:00 | buffalo bills | w 27-10 | 73,924 row 9 : 9 | 1983-01-02 00:00:00 | at baltimore colts | w 34-7 | 19,073

col : count ( "*" ) row 1 : 1

select count ( * ) where opponent = 'new york jets' <table_name> : table \begin{tabular}{llllll} \toprule & week & date & opponent & result & attendance \\ \midrule 0 & 1 & 1982-09-12 00:00:00 & at new york jets & w 45-28 & 53,360 \\ 1 & 2 & 1982-09-19 00:00:00 & baltimore colts & w 24-20 & 51,999 \\ 2 & 3 & 1982-11-21 00:00:00 & at buffalo bills & w 9-7 & 52,945 \\ 3 & 4 & 1982-11-29 00:00:00 & at tampa bay buccaneers & l 17-23 & 65,854 \\ 4 & 5 & 1982-12-05 00:00:00 & minnesota vikings & w 22-14 & 45,721 \\ 5 & 6 & 1982-12-12 00:00:00 & at new england patriots & l 0-3 & 25,716 \\ 6 & 7 & 1982-12-18 00:00:00 & new york jets & w 20-19 & 67,702 \\ 7 & 8 & 1982-12-27 00:00:00 & buffalo bills & w 27-10 & 73,924 \\ 8 & 9 & 1983-01-02 00:00:00 & at baltimore colts & w 34-7 & 19,073 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( * ) where opponent = 'new york jets' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>week</th> <th>date</th> <th>opponent</th> <th>result</th> <th>attendance</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>1982-09-12 00:00:00</td> <td>at new york jets</td> <td>w 45-28</td> <td>53,360</td> </tr> <tr> <th>1</th> <td>2</td> <td>1982-09-19 00:00:00</td> <td>baltimore colts</td> <td>w 24-20</td> <td>51,999</td> </tr> <tr> <th>2</th> <td>3</td> <td>1982-11-21 00:00:00</td> <td>at buffalo bills</td> <td>w 9-7</td> <td>52,945</td> </tr> <tr> <th>3</th> <td>4</td> <td>1982-11-29 00:00:00</td> <td>at tampa bay buccaneers</td> <td>l 17-23</td> <td>65,854</td> </tr> <tr> <th>4</th> <td>5</td> <td>1982-12-05 00:00:00</td> <td>minnesota vikings</td> <td>w 22-14</td> <td>45,721</td> </tr> <tr> <th>5</th> <td>6</td> <td>1982-12-12 00:00:00</td> <td>at new england patriots</td> <td>l 0-3</td> <td>25,716</td> </tr> <tr> <th>6</th> <td>7</td> <td>1982-12-18 00:00:00</td> <td>new york jets</td> <td>w 20-19</td> <td>67,702</td> </tr> <tr> <th>7</th> <td>8</td> <td>1982-12-27 00:00:00</td> <td>buffalo bills</td> <td>w 27-10</td> <td>73,924</td> </tr> <tr> <th>8</th> <td>9</td> <td>1983-01-02 00:00:00</td> <td>at baltimore colts</td> <td>w 34-7</td> <td>19,073</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "*" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( * ) where opponent = 'new york jets' <table_name> : table | | week | date | opponent | result | attendance | |---:|-------:|:--------------------|:------------------------|:---------|:-------------| | 0 | 1 | 1982-09-12 00:00:00 | at new york jets | w 45-28 | 53,360 | | 1 | 2 | 1982-09-19 00:00:00 | baltimore colts | w 24-20 | 51,999 | | 2 | 3 | 1982-11-21 00:00:00 | at buffalo bills | w 9-7 | 52,945 | | 3 | 4 | 1982-11-29 00:00:00 | at tampa bay buccaneers | l 17-23 | 65,854 | | 4 | 5 | 1982-12-05 00:00:00 | minnesota vikings | w 22-14 | 45,721 | | 5 | 6 | 1982-12-12 00:00:00 | at new england patriots | l 0-3 | 25,716 | | 6 | 7 | 1982-12-18 00:00:00 | new york jets | w 20-19 | 67,702 | | 7 | 8 | 1982-12-27 00:00:00 | buffalo bills | w 27-10 | 73,924 | | 8 | 9 | 1983-01-02 00:00:00 | at baltimore colts | w 34-7 | 19,073 |

| | count ( "*" ) | |---:|----------------:| | 0 | 1 |

select games where team = 'indianapolis colts' col : year | team | games | attempts | yards | ypc | long | tds row 1 : 1983 | los angeles rams | 16 | 390 | 1808 | 4.6 | 85 | 18 row 2 : 1984 | los angeles rams | 16 | 379 | 2105 | 5.6 | 66 | 14 row 3 : 1985 | los angeles rams | 14 | 292 | 1234 | 4.2 | 43 | 12 row 4 : 1986 | los angeles rams | 16 | 404 | 1821 | 4.5 | 42 | 11 row 5 : 1987 | los angeles rams | 3 | 60 | 277 | 4.6 | 57 | 1 row 6 : 1987 | indianapolis colts | 9 | 223 | 1011 | 4.5 | 53 | 5 row 7 : 1988 | indianapolis colts | 16 | 388 | 1659 | 4.3 | 41 | 14 row 8 : 1989 | indianapolis colts | 15 | 314 | 1311 | 4.2 | 21 | 7 row 9 : 1990 | indianapolis colts | 11 | 166 | 677 | 4.1 | 43 | 4 row 10 : 1991 | indianapolis colts | 10 | 167 | 536 | 3.2 | 28 | 2 row 11 : 1992 | los angeles raiders | 16 | 187 | 729 | 3.9 | 40 | 2 row 12 : 1993 | atlanta falcons | 4 | 26 | 91 | 3.5 | 10 | 0 row 13 : career | none | 146 | 2996 | 13259 | 4.4 | 85 | 90

col : games row 1 : 9 row 2 : 16 row 3 : 15 row 4 : 11 row 5 : 10

select games where team = 'indianapolis colts' <table_name> : table \begin{tabular}{lllllllll} \toprule & year & team & games & attempts & yards & ypc & long & tds \\ \midrule 0 & 1983 & los angeles rams & 16 & 390 & 1808 & 4.6 & 85 & 18 \\ 1 & 1984 & los angeles rams & 16 & 379 & 2105 & 5.6 & 66 & 14 \\ 2 & 1985 & los angeles rams & 14 & 292 & 1234 & 4.2 & 43 & 12 \\ 3 & 1986 & los angeles rams & 16 & 404 & 1821 & 4.5 & 42 & 11 \\ 4 & 1987 & los angeles rams & 3 & 60 & 277 & 4.6 & 57 & 1 \\ 5 & 1987 & indianapolis colts & 9 & 223 & 1011 & 4.5 & 53 & 5 \\ 6 & 1988 & indianapolis colts & 16 & 388 & 1659 & 4.3 & 41 & 14 \\ 7 & 1989 & indianapolis colts & 15 & 314 & 1311 & 4.2 & 21 & 7 \\ 8 & 1990 & indianapolis colts & 11 & 166 & 677 & 4.1 & 43 & 4 \\ 9 & 1991 & indianapolis colts & 10 & 167 & 536 & 3.2 & 28 & 2 \\ 10 & 1992 & los angeles raiders & 16 & 187 & 729 & 3.9 & 40 & 2 \\ 11 & 1993 & atlanta falcons & 4 & 26 & 91 & 3.5 & 10 & 0 \\ 12 & career & none & 146 & 2996 & 13259 & 4.4 & 85 & 90 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & games \\ \midrule 0 & 9 \\ 1 & 16 \\ 2 & 15 \\ 3 & 11 \\ 4 & 10 \\ \bottomrule \end{tabular}

select games where team = 'indianapolis colts' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>team</th> <th>games</th> <th>attempts</th> <th>yards</th> <th>ypc</th> <th>long</th> <th>tds</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1983</td> <td>los angeles rams</td> <td>16</td> <td>390</td> <td>1808</td> <td>4.6</td> <td>85</td> <td>18</td> </tr> <tr> <th>1</th> <td>1984</td> <td>los angeles rams</td> <td>16</td> <td>379</td> <td>2105</td> <td>5.6</td> <td>66</td> <td>14</td> </tr> <tr> <th>2</th> <td>1985</td> <td>los angeles rams</td> <td>14</td> <td>292</td> <td>1234</td> <td>4.2</td> <td>43</td> <td>12</td> </tr> <tr> <th>3</th> <td>1986</td> <td>los angeles rams</td> <td>16</td> <td>404</td> <td>1821</td> <td>4.5</td> <td>42</td> <td>11</td> </tr> <tr> <th>4</th> <td>1987</td> <td>los angeles rams</td> <td>3</td> <td>60</td> <td>277</td> <td>4.6</td> <td>57</td> <td>1</td> </tr> <tr> <th>5</th> <td>1987</td> <td>indianapolis colts</td> <td>9</td> <td>223</td> <td>1011</td> <td>4.5</td> <td>53</td> <td>5</td> </tr> <tr> <th>6</th> <td>1988</td> <td>indianapolis colts</td> <td>16</td> <td>388</td> <td>1659</td> <td>4.3</td> <td>41</td> <td>14</td> </tr> <tr> <th>7</th> <td>1989</td> <td>indianapolis colts</td> <td>15</td> <td>314</td> <td>1311</td> <td>4.2</td> <td>21</td> <td>7</td> </tr> <tr> <th>8</th> <td>1990</td> <td>indianapolis colts</td> <td>11</td> <td>166</td> <td>677</td> <td>4.1</td> <td>43</td> <td>4</td> </tr> <tr> <th>9</th> <td>1991</td> <td>indianapolis colts</td> <td>10</td> <td>167</td> <td>536</td> <td>3.2</td> <td>28</td> <td>2</td> </tr> <tr> <th>10</th> <td>1992</td> <td>los angeles raiders</td> <td>16</td> <td>187</td> <td>729</td> <td>3.9</td> <td>40</td> <td>2</td> </tr> <tr> <th>11</th> <td>1993</td> <td>atlanta falcons</td> <td>4</td> <td>26</td> <td>91</td> <td>3.5</td> <td>10</td> <td>0</td> </tr> <tr> <th>12</th> <td>career</td> <td>none</td> <td>146</td> <td>2996</td> <td>13259</td> <td>4.4</td> <td>85</td> <td>90</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>9</td> </tr> <tr> <th>1</th> <td>16</td> </tr> <tr> <th>2</th> <td>15</td> </tr> <tr> <th>3</th> <td>11</td> </tr> <tr> <th>4</th> <td>10</td> </tr> </tbody> </table>

select games where team = 'indianapolis colts' <table_name> : table | | year | team | games | attempts | yards | ypc | long | tds | |---:|:-------|:--------------------|--------:|-----------:|--------:|------:|-------:|------:| | 0 | 1983 | los angeles rams | 16 | 390 | 1808 | 4.6 | 85 | 18 | | 1 | 1984 | los angeles rams | 16 | 379 | 2105 | 5.6 | 66 | 14 | | 2 | 1985 | los angeles rams | 14 | 292 | 1234 | 4.2 | 43 | 12 | | 3 | 1986 | los angeles rams | 16 | 404 | 1821 | 4.5 | 42 | 11 | | 4 | 1987 | los angeles rams | 3 | 60 | 277 | 4.6 | 57 | 1 | | 5 | 1987 | indianapolis colts | 9 | 223 | 1011 | 4.5 | 53 | 5 | | 6 | 1988 | indianapolis colts | 16 | 388 | 1659 | 4.3 | 41 | 14 | | 7 | 1989 | indianapolis colts | 15 | 314 | 1311 | 4.2 | 21 | 7 | | 8 | 1990 | indianapolis colts | 11 | 166 | 677 | 4.1 | 43 | 4 | | 9 | 1991 | indianapolis colts | 10 | 167 | 536 | 3.2 | 28 | 2 | | 10 | 1992 | los angeles raiders | 16 | 187 | 729 | 3.9 | 40 | 2 | | 11 | 1993 | atlanta falcons | 4 | 26 | 91 | 3.5 | 10 | 0 | | 12 | career | none | 146 | 2996 | 13259 | 4.4 | 85 | 90 |

| | games | |---:|--------:| | 0 | 9 | | 1 | 16 | | 2 | 15 | | 3 | 11 | | 4 | 10 |

select municipality/communes where coalition for the citizen = 'dallandyshe allkaj (47.97 %)' col : municipality/communes | coalition for the citizen | coalition for the future | other/independent | winning party/coalition | voter turnout row 1 : aranitas | robert brahaj (42.39 %) | viktor mahmutaj (57.61 %) | none | coalition for the future | 57% row 2 : ballsh | dallandyshe allkaj (47.97 %) | ilir cela (52.03 %) | none | coalition for the future | 55% row 3 : fratar | sabire hoxhaj (49.75 %) | astrit sejdinaj (50.25 %) | none | coalition for the future | 57% row 4 : greshice | baftjar bakiu (55.24 %) | bilbil veliaj (44.76 %) | none | coalition for the citizen | 53% row 5 : hekal | qemal pashaj (41.99 %) | eqerem beqiraj (58.01 %) | none | coalition for the future | 50% row 6 : kute | gentjan dervishaj (49.70 %) | ramis malaj (50.30 %) | none | coalition for the future | 55% row 7 : ngracan | nuri koraj (65.52 %) | besnik shanaj (34.48 %) | none | coalition for the citizen | 70% row 8 : qender | agron kapllanaj (65.45 %) | sybi aliaj (34.55 %) | none | coalition for the citizen | 57% row 9 : selite | altin bregasi (51.75 %) | hekuran resulaj (45.61 %) | nezir jaupaj (pksh) (2.63 %) | coalition for the citizen | 62%

col : municipality/communes row 1 : ballsh

select municipality/communes where coalition for the citizen = 'dallandyshe allkaj (47.97 %)' <table_name> : table \begin{tabular}{lllllll} \toprule & municipality/communes & coalition for the citizen & coalition for the future & other/independent & winning party/coalition & voter turnout \\ \midrule 0 & aranitas & robert brahaj (42.39 %) & viktor mahmutaj (57.61 %) & none & coalition for the future & 57% \\ 1 & ballsh & dallandyshe allkaj (47.97 %) & ilir cela (52.03 %) & none & coalition for the future & 55% \\ 2 & fratar & sabire hoxhaj (49.75 %) & astrit sejdinaj (50.25 %) & none & coalition for the future & 57% \\ 3 & greshice & baftjar bakiu (55.24 %) & bilbil veliaj (44.76 %) & none & coalition for the citizen & 53% \\ 4 & hekal & qemal pashaj (41.99 %) & eqerem beqiraj (58.01 %) & none & coalition for the future & 50% \\ 5 & kute & gentjan dervishaj (49.70 %) & ramis malaj (50.30 %) & none & coalition for the future & 55% \\ 6 & ngracan & nuri koraj (65.52 %) & besnik shanaj (34.48 %) & none & coalition for the citizen & 70% \\ 7 & qender & agron kapllanaj (65.45 %) & sybi aliaj (34.55 %) & none & coalition for the citizen & 57% \\ 8 & selite & altin bregasi (51.75 %) & hekuran resulaj (45.61 %) & nezir jaupaj (pksh) (2.63 %) & coalition for the citizen & 62% \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & municipality/communes \\ \midrule 0 & ballsh \\ \bottomrule \end{tabular}

select municipality/communes where coalition for the citizen = 'dallandyshe allkaj (47.97 %)' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>municipality/communes</th> <th>coalition for the citizen</th> <th>coalition for the future</th> <th>other/independent</th> <th>winning party/coalition</th> <th>voter turnout</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>aranitas</td> <td>robert brahaj (42.39 %)</td> <td>viktor mahmutaj (57.61 %)</td> <td>none</td> <td>coalition for the future</td> <td>57%</td> </tr> <tr> <th>1</th> <td>ballsh</td> <td>dallandyshe allkaj (47.97 %)</td> <td>ilir cela (52.03 %)</td> <td>none</td> <td>coalition for the future</td> <td>55%</td> </tr> <tr> <th>2</th> <td>fratar</td> <td>sabire hoxhaj (49.75 %)</td> <td>astrit sejdinaj (50.25 %)</td> <td>none</td> <td>coalition for the future</td> <td>57%</td> </tr> <tr> <th>3</th> <td>greshice</td> <td>baftjar bakiu (55.24 %)</td> <td>bilbil veliaj (44.76 %)</td> <td>none</td> <td>coalition for the citizen</td> <td>53%</td> </tr> <tr> <th>4</th> <td>hekal</td> <td>qemal pashaj (41.99 %)</td> <td>eqerem beqiraj (58.01 %)</td> <td>none</td> <td>coalition for the future</td> <td>50%</td> </tr> <tr> <th>5</th> <td>kute</td> <td>gentjan dervishaj (49.70 %)</td> <td>ramis malaj (50.30 %)</td> <td>none</td> <td>coalition for the future</td> <td>55%</td> </tr> <tr> <th>6</th> <td>ngracan</td> <td>nuri koraj (65.52 %)</td> <td>besnik shanaj (34.48 %)</td> <td>none</td> <td>coalition for the citizen</td> <td>70%</td> </tr> <tr> <th>7</th> <td>qender</td> <td>agron kapllanaj (65.45 %)</td> <td>sybi aliaj (34.55 %)</td> <td>none</td> <td>coalition for the citizen</td> <td>57%</td> </tr> <tr> <th>8</th> <td>selite</td> <td>altin bregasi (51.75 %)</td> <td>hekuran resulaj (45.61 %)</td> <td>nezir jaupaj (pksh) (2.63 %)</td> <td>coalition for the citizen</td> <td>62%</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>municipality/communes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>ballsh</td> </tr> </tbody> </table>

select municipality/communes where coalition for the citizen = 'dallandyshe allkaj (47.97 %)' <table_name> : table | | municipality/communes | coalition for the citizen | coalition for the future | other/independent | winning party/coalition | voter turnout | |---:|:------------------------|:-----------------------------|:---------------------------|:-----------------------------|:--------------------------|:----------------| | 0 | aranitas | robert brahaj (42.39 %) | viktor mahmutaj (57.61 %) | none | coalition for the future | 57% | | 1 | ballsh | dallandyshe allkaj (47.97 %) | ilir cela (52.03 %) | none | coalition for the future | 55% | | 2 | fratar | sabire hoxhaj (49.75 %) | astrit sejdinaj (50.25 %) | none | coalition for the future | 57% | | 3 | greshice | baftjar bakiu (55.24 %) | bilbil veliaj (44.76 %) | none | coalition for the citizen | 53% | | 4 | hekal | qemal pashaj (41.99 %) | eqerem beqiraj (58.01 %) | none | coalition for the future | 50% | | 5 | kute | gentjan dervishaj (49.70 %) | ramis malaj (50.30 %) | none | coalition for the future | 55% | | 6 | ngracan | nuri koraj (65.52 %) | besnik shanaj (34.48 %) | none | coalition for the citizen | 70% | | 7 | qender | agron kapllanaj (65.45 %) | sybi aliaj (34.55 %) | none | coalition for the citizen | 57% | | 8 | selite | altin bregasi (51.75 %) | hekuran resulaj (45.61 %) | nezir jaupaj (pksh) (2.63 %) | coalition for the citizen | 62% |

| | municipality/communes | |---:|:------------------------| | 0 | ballsh |

select position where year = 2006 col : year | competition | venue | position | event | notes row 1 : 2003 | all-africa games | abuja, nigeria | 11th (h) | 800 m | 2:05.19 row 2 : 2006 | commonwealth games | melbourne, australia | 9th (sf) | 800 m | 2:01.84 row 3 : 2006 | african championships | bambous, mauritius | 13th (h) | 800 m | 2:10.50 row 4 : 2006 | lusophony games | macau | 1st | 800 m | 2:07.34 row 5 : 2007 | all-africa games | algiers, algeria | 1st | 800 m | 2:02.83 row 6 : 2008 | african championships | addis ababa, ethiopia | 6th | 800 m | 2:05.95 row 7 : 2009 | lusophony games | lisbon, portugal | 4th | 800 m | 2:07.48 row 8 : 2009 | world championships | berlin, germany | 36th (h) | 800 m | 2:06.72 row 9 : 2010 | african championships | nairobi, kenya | 7th | 800 m | 2:08.45 row 10 : 2010 | commonwealth games | delhi, india | none | 800 m | dnf row 11 : 2011 | all-africa games | maputo, mozambique | 12th (h) | 800 m | 2:06.72

col : position row 1 : 9th (sf) row 2 : 13th (h) row 3 : 1st

select position where year = 2006 <table_name> : table \begin{tabular}{lllllll} \toprule & year & competition & venue & position & event & notes \\ \midrule 0 & 2003 & all-africa games & abuja, nigeria & 11th (h) & 800 m & 2:05.19 \\ 1 & 2006 & commonwealth games & melbourne, australia & 9th (sf) & 800 m & 2:01.84 \\ 2 & 2006 & african championships & bambous, mauritius & 13th (h) & 800 m & 2:10.50 \\ 3 & 2006 & lusophony games & macau & 1st & 800 m & 2:07.34 \\ 4 & 2007 & all-africa games & algiers, algeria & 1st & 800 m & 2:02.83 \\ 5 & 2008 & african championships & addis ababa, ethiopia & 6th & 800 m & 2:05.95 \\ 6 & 2009 & lusophony games & lisbon, portugal & 4th & 800 m & 2:07.48 \\ 7 & 2009 & world championships & berlin, germany & 36th (h) & 800 m & 2:06.72 \\ 8 & 2010 & african championships & nairobi, kenya & 7th & 800 m & 2:08.45 \\ 9 & 2010 & commonwealth games & delhi, india & none & 800 m & dnf \\ 10 & 2011 & all-africa games & maputo, mozambique & 12th (h) & 800 m & 2:06.72 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & position \\ \midrule 0 & 9th (sf) \\ 1 & 13th (h) \\ 2 & 1st \\ \bottomrule \end{tabular}

select position where year = 2006 <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>2003</td> <td>all-africa games</td> <td>abuja, nigeria</td> <td>11th (h)</td> <td>800 m</td> <td>2:05.19</td> </tr> <tr> <th>1</th> <td>2006</td> <td>commonwealth games</td> <td>melbourne, australia</td> <td>9th (sf)</td> <td>800 m</td> <td>2:01.84</td> </tr> <tr> <th>2</th> <td>2006</td> <td>african championships</td> <td>bambous, mauritius</td> <td>13th (h)</td> <td>800 m</td> <td>2:10.50</td> </tr> <tr> <th>3</th> <td>2006</td> <td>lusophony games</td> <td>macau</td> <td>1st</td> <td>800 m</td> <td>2:07.34</td> </tr> <tr> <th>4</th> <td>2007</td> <td>all-africa games</td> <td>algiers, algeria</td> <td>1st</td> <td>800 m</td> <td>2:02.83</td> </tr> <tr> <th>5</th> <td>2008</td> <td>african championships</td> <td>addis ababa, ethiopia</td> <td>6th</td> <td>800 m</td> <td>2:05.95</td> </tr> <tr> <th>6</th> <td>2009</td> <td>lusophony games</td> <td>lisbon, portugal</td> <td>4th</td> <td>800 m</td> <td>2:07.48</td> </tr> <tr> <th>7</th> <td>2009</td> <td>world championships</td> <td>berlin, germany</td> <td>36th (h)</td> <td>800 m</td> <td>2:06.72</td> </tr> <tr> <th>8</th> <td>2010</td> <td>african championships</td> <td>nairobi, kenya</td> <td>7th</td> <td>800 m</td> <td>2:08.45</td> </tr> <tr> <th>9</th> <td>2010</td> <td>commonwealth games</td> <td>delhi, india</td> <td>none</td> <td>800 m</td> <td>dnf</td> </tr> <tr> <th>10</th> <td>2011</td> <td>all-africa games</td> <td>maputo, mozambique</td> <td>12th (h)</td> <td>800 m</td> <td>2:06.72</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>9th (sf)</td> </tr> <tr> <th>1</th> <td>13th (h)</td> </tr> <tr> <th>2</th> <td>1st</td> </tr> </tbody> </table>

select position where year = 2006 <table_name> : table | | year | competition | venue | position | event | notes | |---:|-------:|:----------------------|:----------------------|:-----------|:--------|:--------| | 0 | 2003 | all-africa games | abuja, nigeria | 11th (h) | 800 m | 2:05.19 | | 1 | 2006 | commonwealth games | melbourne, australia | 9th (sf) | 800 m | 2:01.84 | | 2 | 2006 | african championships | bambous, mauritius | 13th (h) | 800 m | 2:10.50 | | 3 | 2006 | lusophony games | macau | 1st | 800 m | 2:07.34 | | 4 | 2007 | all-africa games | algiers, algeria | 1st | 800 m | 2:02.83 | | 5 | 2008 | african championships | addis ababa, ethiopia | 6th | 800 m | 2:05.95 | | 6 | 2009 | lusophony games | lisbon, portugal | 4th | 800 m | 2:07.48 | | 7 | 2009 | world championships | berlin, germany | 36th (h) | 800 m | 2:06.72 | | 8 | 2010 | african championships | nairobi, kenya | 7th | 800 m | 2:08.45 | | 9 | 2010 | commonwealth games | delhi, india | none | 800 m | dnf | | 10 | 2011 | all-africa games | maputo, mozambique | 12th (h) | 800 m | 2:06.72 |

| | position | |---:|:-----------| | 0 | 9th (sf) | | 1 | 13th (h) | | 2 | 1st |

select notes where position < 595 col : year | competition | venue | position | event | notes row 1 : 2002 | world junior championships | kingston, jamaica | 17th (q) | shot put (6 kg) | 17.77 m row 2 : 2003 | european junior championships | tampere, finland | 2nd | shot put (6 kg) | 20.10 m row 3 : 2005 | european u23 championships | erfurt, germany | 1st | shot put | 20.44 m row 4 : 2005 | world championships | helsinki, finland | 15th (q) | shot put | 19.56 m row 5 : 2005 | universiade | izmir, turkey | 3rd | shot put | 19.40 m row 6 : 2006 | world indoor championships | moscow, russia | 8th | shot put | 19.93 m row 7 : 2006 | european championships | gothenburg, sweden | 11th | shot put | 19.44 m row 8 : 2007 | european indoor championships | birmingham, united kingdom | 11th (q) | shot put | 19.12 m row 9 : 2007 | world championships | osaka, japan | 13th (q) | shot put | 19.91 m row 10 : 2008 | olympic games | beijing, china | 18th (q) | shot put | 19.87 m row 11 : 2009 | european indoor championships | turin, italy | 4th | shot put | 20.14 m

col : notes row 1 : 17.77 m row 2 : 20.10 m row 3 : 20.44 m row 4 : 19.56 m row 5 : 19.40 m row 6 : 19.44 m row 7 : 19.12 m row 8 : 19.91 m row 9 : 19.87 m row 10 : 20.14 m

select notes where position < 595 <table_name> : table \begin{tabular}{lllllll} \toprule & year & competition & venue & position & event & notes \\ \midrule 0 & 2002 & world junior championships & kingston, jamaica & 17th (q) & shot put (6 kg) & 17.77 m \\ 1 & 2003 & european junior championships & tampere, finland & 2nd & shot put (6 kg) & 20.10 m \\ 2 & 2005 & european u23 championships & erfurt, germany & 1st & shot put & 20.44 m \\ 3 & 2005 & world championships & helsinki, finland & 15th (q) & shot put & 19.56 m \\ 4 & 2005 & universiade & izmir, turkey & 3rd & shot put & 19.40 m \\ 5 & 2006 & world indoor championships & moscow, russia & 8th & shot put & 19.93 m \\ 6 & 2006 & european championships & gothenburg, sweden & 11th & shot put & 19.44 m \\ 7 & 2007 & european indoor championships & birmingham, united kingdom & 11th (q) & shot put & 19.12 m \\ 8 & 2007 & world championships & osaka, japan & 13th (q) & shot put & 19.91 m \\ 9 & 2008 & olympic games & beijing, china & 18th (q) & shot put & 19.87 m \\ 10 & 2009 & european indoor championships & turin, italy & 4th & shot put & 20.14 m \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & notes \\ \midrule 0 & 17.77 m \\ 1 & 20.10 m \\ 2 & 20.44 m \\ 3 & 19.56 m \\ 4 & 19.40 m \\ 5 & 19.44 m \\ 6 & 19.12 m \\ 7 & 19.91 m \\ 8 & 19.87 m \\ 9 & 20.14 m \\ \bottomrule \end{tabular}

select notes where position < 595 <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>2002</td> <td>world junior championships</td> <td>kingston, jamaica</td> <td>17th (q)</td> <td>shot put (6 kg)</td> <td>17.77 m</td> </tr> <tr> <th>1</th> <td>2003</td> <td>european junior championships</td> <td>tampere, finland</td> <td>2nd</td> <td>shot put (6 kg)</td> <td>20.10 m</td> </tr> <tr> <th>2</th> <td>2005</td> <td>european u23 championships</td> <td>erfurt, germany</td> <td>1st</td> <td>shot put</td> <td>20.44 m</td> </tr> <tr> <th>3</th> <td>2005</td> <td>world championships</td> <td>helsinki, finland</td> <td>15th (q)</td> <td>shot put</td> <td>19.56 m</td> </tr> <tr> <th>4</th> <td>2005</td> <td>universiade</td> <td>izmir, turkey</td> <td>3rd</td> <td>shot put</td> <td>19.40 m</td> </tr> <tr> <th>5</th> <td>2006</td> <td>world indoor championships</td> <td>moscow, russia</td> <td>8th</td> <td>shot put</td> <td>19.93 m</td> </tr> <tr> <th>6</th> <td>2006</td> <td>european championships</td> <td>gothenburg, sweden</td> <td>11th</td> <td>shot put</td> <td>19.44 m</td> </tr> <tr> <th>7</th> <td>2007</td> <td>european indoor championships</td> <td>birmingham, united kingdom</td> <td>11th (q)</td> <td>shot put</td> <td>19.12 m</td> </tr> <tr> <th>8</th> <td>2007</td> <td>world championships</td> <td>osaka, japan</td> <td>13th (q)</td> <td>shot put</td> <td>19.91 m</td> </tr> <tr> <th>9</th> <td>2008</td> <td>olympic games</td> <td>beijing, china</td> <td>18th (q)</td> <td>shot put</td> <td>19.87 m</td> </tr> <tr> <th>10</th> <td>2009</td> <td>european indoor championships</td> <td>turin, italy</td> <td>4th</td> <td>shot put</td> <td>20.14 m</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>17.77 m</td> </tr> <tr> <th>1</th> <td>20.10 m</td> </tr> <tr> <th>2</th> <td>20.44 m</td> </tr> <tr> <th>3</th> <td>19.56 m</td> </tr> <tr> <th>4</th> <td>19.40 m</td> </tr> <tr> <th>5</th> <td>19.44 m</td> </tr> <tr> <th>6</th> <td>19.12 m</td> </tr> <tr> <th>7</th> <td>19.91 m</td> </tr> <tr> <th>8</th> <td>19.87 m</td> </tr> <tr> <th>9</th> <td>20.14 m</td> </tr> </tbody> </table>

select notes where position < 595 <table_name> : table | | year | competition | venue | position | event | notes | |---:|-------:|:------------------------------|:---------------------------|:-----------|:----------------|:--------| | 0 | 2002 | world junior championships | kingston, jamaica | 17th (q) | shot put (6 kg) | 17.77 m | | 1 | 2003 | european junior championships | tampere, finland | 2nd | shot put (6 kg) | 20.10 m | | 2 | 2005 | european u23 championships | erfurt, germany | 1st | shot put | 20.44 m | | 3 | 2005 | world championships | helsinki, finland | 15th (q) | shot put | 19.56 m | | 4 | 2005 | universiade | izmir, turkey | 3rd | shot put | 19.40 m | | 5 | 2006 | world indoor championships | moscow, russia | 8th | shot put | 19.93 m | | 6 | 2006 | european championships | gothenburg, sweden | 11th | shot put | 19.44 m | | 7 | 2007 | european indoor championships | birmingham, united kingdom | 11th (q) | shot put | 19.12 m | | 8 | 2007 | world championships | osaka, japan | 13th (q) | shot put | 19.91 m | | 9 | 2008 | olympic games | beijing, china | 18th (q) | shot put | 19.87 m | | 10 | 2009 | european indoor championships | turin, italy | 4th | shot put | 20.14 m |

| | notes | |---:|:--------| | 0 | 17.77 m | | 1 | 20.10 m | | 2 | 20.44 m | | 3 | 19.56 m | | 4 | 19.40 m | | 5 | 19.44 m | | 6 | 19.12 m | | 7 | 19.91 m | | 8 | 19.87 m | | 9 | 20.14 m |

select nation where nation = 'poland' 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 : nation row 1 : poland

select nation where nation = 'poland' <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 & nation \\ \midrule 0 & poland \\ \bottomrule \end{tabular}

select nation where nation = 'poland' <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>nation</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>poland</td> </tr> </tbody> </table>

select nation where nation = 'poland' <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 |

| | nation | |---:|:---------| | 0 | poland |

select time where nationality = 'spain' col : rank | name | nationality | time | notes row 1 : none | alberto garcia | spain | 7:43.89 | cr row 2 : none | antonio david jimenez | spain | 7:46.49 | pb row 3 : none | jesus espana | spain | 7:48.08 | pb row 4 : none | john mayock | great britain | 7:48.08 | none row 5 : 5 | michael buchleitner | austria | 7:54.39 | sb row 6 : 6 | mohammed mourhit | belgium | 7:59.79 | none row 7 : 7 | sergey ivanov | russia | 8:02.98 | none row 8 : 8 | mindaugas pukstas | lithuania | 8:03.21 | pb row 9 : 9 | irba lakhal | france | 8:03.38 | none row 10 : 10 | joakim johansson | denmark | 8:06.47 | none row 11 : 11 | harald steindorfer | austria | 8:09.21 | none row 12 : 12 | ferdinando vicari | italy | 8:17.46 | none row 13 : 13 | martin steinbauer | austria | 8:22.06 | none row 14 : 14 | christos papapetrou | cyprus | 8:30.59 | none

col : time row 1 : 7:43.89 row 2 : 7:46.49 row 3 : 7:48.08

select time where nationality = 'spain' <table_name> : table \begin{tabular}{llllll} \toprule & rank & name & nationality & time & notes \\ \midrule 0 & none & alberto garcia & spain & 7:43.89 & cr \\ 1 & none & antonio david jimenez & spain & 7:46.49 & pb \\ 2 & none & jesus espana & spain & 7:48.08 & pb \\ 3 & none & john mayock & great britain & 7:48.08 & none \\ 4 & 5 & michael buchleitner & austria & 7:54.39 & sb \\ 5 & 6 & mohammed mourhit & belgium & 7:59.79 & none \\ 6 & 7 & sergey ivanov & russia & 8:02.98 & none \\ 7 & 8 & mindaugas pukstas & lithuania & 8:03.21 & pb \\ 8 & 9 & irba lakhal & france & 8:03.38 & none \\ 9 & 10 & joakim johansson & denmark & 8:06.47 & none \\ 10 & 11 & harald steindorfer & austria & 8:09.21 & none \\ 11 & 12 & ferdinando vicari & italy & 8:17.46 & none \\ 12 & 13 & martin steinbauer & austria & 8:22.06 & none \\ 13 & 14 & christos papapetrou & cyprus & 8:30.59 & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & time \\ \midrule 0 & 7:43.89 \\ 1 & 7:46.49 \\ 2 & 7:48.08 \\ \bottomrule \end{tabular}

select time where nationality = 'spain' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>rank</th> <th>name</th> <th>nationality</th> <th>time</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>none</td> <td>alberto garcia</td> <td>spain</td> <td>7:43.89</td> <td>cr</td> </tr> <tr> <th>1</th> <td>none</td> <td>antonio david jimenez</td> <td>spain</td> <td>7:46.49</td> <td>pb</td> </tr> <tr> <th>2</th> <td>none</td> <td>jesus espana</td> <td>spain</td> <td>7:48.08</td> <td>pb</td> </tr> <tr> <th>3</th> <td>none</td> <td>john mayock</td> <td>great britain</td> <td>7:48.08</td> <td>none</td> </tr> <tr> <th>4</th> <td>5</td> <td>michael buchleitner</td> <td>austria</td> <td>7:54.39</td> <td>sb</td> </tr> <tr> <th>5</th> <td>6</td> <td>mohammed mourhit</td> <td>belgium</td> <td>7:59.79</td> <td>none</td> </tr> <tr> <th>6</th> <td>7</td> <td>sergey ivanov</td> <td>russia</td> <td>8:02.98</td> <td>none</td> </tr> <tr> <th>7</th> <td>8</td> <td>mindaugas pukstas</td> <td>lithuania</td> <td>8:03.21</td> <td>pb</td> </tr> <tr> <th>8</th> <td>9</td> <td>irba lakhal</td> <td>france</td> <td>8:03.38</td> <td>none</td> </tr> <tr> <th>9</th> <td>10</td> <td>joakim johansson</td> <td>denmark</td> <td>8:06.47</td> <td>none</td> </tr> <tr> <th>10</th> <td>11</td> <td>harald steindorfer</td> <td>austria</td> <td>8:09.21</td> <td>none</td> </tr> <tr> <th>11</th> <td>12</td> <td>ferdinando vicari</td> <td>italy</td> <td>8:17.46</td> <td>none</td> </tr> <tr> <th>12</th> <td>13</td> <td>martin steinbauer</td> <td>austria</td> <td>8:22.06</td> <td>none</td> </tr> <tr> <th>13</th> <td>14</td> <td>christos papapetrou</td> <td>cyprus</td> <td>8:30.59</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>7:43.89</td> </tr> <tr> <th>1</th> <td>7:46.49</td> </tr> <tr> <th>2</th> <td>7:48.08</td> </tr> </tbody> </table>

select time where nationality = 'spain' <table_name> : table | | rank | name | nationality | time | notes | |---:|:-------|:----------------------|:--------------|:--------|:--------| | 0 | none | alberto garcia | spain | 7:43.89 | cr | | 1 | none | antonio david jimenez | spain | 7:46.49 | pb | | 2 | none | jesus espana | spain | 7:48.08 | pb | | 3 | none | john mayock | great britain | 7:48.08 | none | | 4 | 5 | michael buchleitner | austria | 7:54.39 | sb | | 5 | 6 | mohammed mourhit | belgium | 7:59.79 | none | | 6 | 7 | sergey ivanov | russia | 8:02.98 | none | | 7 | 8 | mindaugas pukstas | lithuania | 8:03.21 | pb | | 8 | 9 | irba lakhal | france | 8:03.38 | none | | 9 | 10 | joakim johansson | denmark | 8:06.47 | none | | 10 | 11 | harald steindorfer | austria | 8:09.21 | none | | 11 | 12 | ferdinando vicari | italy | 8:17.46 | none | | 12 | 13 | martin steinbauer | austria | 8:22.06 | none | | 13 | 14 | christos papapetrou | cyprus | 8:30.59 | none |

| | time | |---:|:--------| | 0 | 7:43.89 | | 1 | 7:46.49 | | 2 | 7:48.08 |

select count ( week ) where result = 'w 60-58' col : week | date | opponent | home/away | result | bye row 1 : 1 | february 8 | new orleans voodoo | home | l 42-34 | 0 row 2 : 2 | february 15 | dallas desperados | away | l 51-47 | 0 row 3 : 3 | february 21 | columbus destroyers | home | w 56-34 | 0 row 4 : 4 | february 29 | tampa bay storm | away | l 40-37 | 0 row 5 : 5 | march 7 | chicago rush | home | w 53-47 | 0 row 6 : 6 | march 13 | columbus destroyers | away | l 43-41 | 0 row 7 : 7 | march 21 | colorado crush | home | l 40-33 | 0 row 8 : 8 | march 28 | austin wranglers | away | w 65-60 | 0 row 9 : 9 | april 4 | dallas desperados | home | w 47-31 | 0 row 10 : 10 | none | none | week | none | 1 row 11 : 11 | april 17 | carolina cobras | away | l 63-59 | 0 row 12 : 12 | april 24 | new york dragons | home | w 60-58 | 0 row 13 : 13 | may 1 | colorado crush | away | l 58-40 | 0 row 14 : 14 | may 8 | las vegas gladiators | home | l 63-35 | 0 row 15 : 15 | may 15 | carolina cobras | home | l 46-43 | 0 row 16 : 16 | may 22 | san jose sabercats | away | l 48-36 | 0 row 17 : 17 | may 30 | new york dragons | away | l 69-54 | 0

col : count ( "week" ) row 1 : 1

select count ( week ) where result = 'w 60-58' <table_name> : table \begin{tabular}{lllllll} \toprule & week & date & opponent & home/away & result & bye \\ \midrule 0 & 1 & february 8 & new orleans voodoo & home & l 42-34 & 0 \\ 1 & 2 & february 15 & dallas desperados & away & l 51-47 & 0 \\ 2 & 3 & february 21 & columbus destroyers & home & w 56-34 & 0 \\ 3 & 4 & february 29 & tampa bay storm & away & l 40-37 & 0 \\ 4 & 5 & march 7 & chicago rush & home & w 53-47 & 0 \\ 5 & 6 & march 13 & columbus destroyers & away & l 43-41 & 0 \\ 6 & 7 & march 21 & colorado crush & home & l 40-33 & 0 \\ 7 & 8 & march 28 & austin wranglers & away & w 65-60 & 0 \\ 8 & 9 & april 4 & dallas desperados & home & w 47-31 & 0 \\ 9 & 10 & none & none & week & none & 1 \\ 10 & 11 & april 17 & carolina cobras & away & l 63-59 & 0 \\ 11 & 12 & april 24 & new york dragons & home & w 60-58 & 0 \\ 12 & 13 & may 1 & colorado crush & away & l 58-40 & 0 \\ 13 & 14 & may 8 & las vegas gladiators & home & l 63-35 & 0 \\ 14 & 15 & may 15 & carolina cobras & home & l 46-43 & 0 \\ 15 & 16 & may 22 & san jose sabercats & away & l 48-36 & 0 \\ 16 & 17 & may 30 & new york dragons & away & l 69-54 & 0 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "week" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( week ) where result = 'w 60-58' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>week</th> <th>date</th> <th>opponent</th> <th>home/away</th> <th>result</th> <th>bye</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>february 8</td> <td>new orleans voodoo</td> <td>home</td> <td>l 42-34</td> <td>0</td> </tr> <tr> <th>1</th> <td>2</td> <td>february 15</td> <td>dallas desperados</td> <td>away</td> <td>l 51-47</td> <td>0</td> </tr> <tr> <th>2</th> <td>3</td> <td>february 21</td> <td>columbus destroyers</td> <td>home</td> <td>w 56-34</td> <td>0</td> </tr> <tr> <th>3</th> <td>4</td> <td>february 29</td> <td>tampa bay storm</td> <td>away</td> <td>l 40-37</td> <td>0</td> </tr> <tr> <th>4</th> <td>5</td> <td>march 7</td> <td>chicago rush</td> <td>home</td> <td>w 53-47</td> <td>0</td> </tr> <tr> <th>5</th> <td>6</td> <td>march 13</td> <td>columbus destroyers</td> <td>away</td> <td>l 43-41</td> <td>0</td> </tr> <tr> <th>6</th> <td>7</td> <td>march 21</td> <td>colorado crush</td> <td>home</td> <td>l 40-33</td> <td>0</td> </tr> <tr> <th>7</th> <td>8</td> <td>march 28</td> <td>austin wranglers</td> <td>away</td> <td>w 65-60</td> <td>0</td> </tr> <tr> <th>8</th> <td>9</td> <td>april 4</td> <td>dallas desperados</td> <td>home</td> <td>w 47-31</td> <td>0</td> </tr> <tr> <th>9</th> <td>10</td> <td>none</td> <td>none</td> <td>week</td> <td>none</td> <td>1</td> </tr> <tr> <th>10</th> <td>11</td> <td>april 17</td> <td>carolina cobras</td> <td>away</td> <td>l 63-59</td> <td>0</td> </tr> <tr> <th>11</th> <td>12</td> <td>april 24</td> <td>new york dragons</td> <td>home</td> <td>w 60-58</td> <td>0</td> </tr> <tr> <th>12</th> <td>13</td> <td>may 1</td> <td>colorado crush</td> <td>away</td> <td>l 58-40</td> <td>0</td> </tr> <tr> <th>13</th> <td>14</td> <td>may 8</td> <td>las vegas gladiators</td> <td>home</td> <td>l 63-35</td> <td>0</td> </tr> <tr> <th>14</th> <td>15</td> <td>may 15</td> <td>carolina cobras</td> <td>home</td> <td>l 46-43</td> <td>0</td> </tr> <tr> <th>15</th> <td>16</td> <td>may 22</td> <td>san jose sabercats</td> <td>away</td> <td>l 48-36</td> <td>0</td> </tr> <tr> <th>16</th> <td>17</td> <td>may 30</td> <td>new york dragons</td> <td>away</td> <td>l 69-54</td> <td>0</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "week" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( week ) where result = 'w 60-58' <table_name> : table | | week | date | opponent | home/away | result | bye | |---:|-------:|:------------|:---------------------|:------------|:---------|------:| | 0 | 1 | february 8 | new orleans voodoo | home | l 42-34 | 0 | | 1 | 2 | february 15 | dallas desperados | away | l 51-47 | 0 | | 2 | 3 | february 21 | columbus destroyers | home | w 56-34 | 0 | | 3 | 4 | february 29 | tampa bay storm | away | l 40-37 | 0 | | 4 | 5 | march 7 | chicago rush | home | w 53-47 | 0 | | 5 | 6 | march 13 | columbus destroyers | away | l 43-41 | 0 | | 6 | 7 | march 21 | colorado crush | home | l 40-33 | 0 | | 7 | 8 | march 28 | austin wranglers | away | w 65-60 | 0 | | 8 | 9 | april 4 | dallas desperados | home | w 47-31 | 0 | | 9 | 10 | none | none | week | none | 1 | | 10 | 11 | april 17 | carolina cobras | away | l 63-59 | 0 | | 11 | 12 | april 24 | new york dragons | home | w 60-58 | 0 | | 12 | 13 | may 1 | colorado crush | away | l 58-40 | 0 | | 13 | 14 | may 8 | las vegas gladiators | home | l 63-35 | 0 | | 14 | 15 | may 15 | carolina cobras | home | l 46-43 | 0 | | 15 | 16 | may 22 | san jose sabercats | away | l 48-36 | 0 | | 16 | 17 | may 30 | new york dragons | away | l 69-54 | 0 |

| | count ( "week" ) | |---:|-------------------:| | 0 | 1 |

select points where bike = 'honda cbr1000rr' col : pos | no | rider | bike | laps | time | grid | points row 1 : 1 | 21 | troy bayliss | ducati 999 f07 | 22 | 34:11.276 | 1 | 25 row 2 : 2 | 52 | james toseland | honda cbr1000rr | 22 | 2.096 | 2 | 20 row 3 : 3 | 3 | max biaggi | suzuki gsx-r1000 k7 | 22 | 10.143 | 5 | 16 row 4 : 4 | 41 | noriyuki haga | yamaha yzf-r1 | 22 | 18.923 | 4 | 13 row 5 : 5 | 11 | troy corser | yamaha yzf-r1 | 22 | 19.742 | 3 | 11 row 6 : 6 | 57 | lorenzo lanzi | ducati 999 f07 | 22 | 24.765 | 10 | 10 row 7 : 7 | 111 | ruben xaus | ducati 999 f06 | 22 | 27.404 | 8 | 9 row 8 : 8 | 76 | max neukirchner | suzuki gsx-r1000 k6 | 22 | 34.614 | 7 | 8 row 9 : 9 | 10 | fonsi nieto | kawasaki zx-10r | 22 | 35.339 | 6 | 7 row 10 : 10 | 99 | steve martin | honda cbr1000rr | 22 | 36.238 | 11 | 6 row 11 : 11 | 44 | roberto rolfo | honda cbr1000rr | 22 | 38.067 | 15 | 5 row 12 : 12 | 25 | josh brookes | honda cbr1000rr | 22 | 47.078 | 12 | 4 row 13 : 13 | 38 | shinichi nakatomi | yamaha yzf-r1 | 22 | 58.571 | 17 | 3 row 14 : 14 | 96 | jakub smrz | ducati 999 f05 | 22 | +1:08.000 | 14 | 2 row 15 : 15 | 53 | alex polita | suzuki gsx-r1000 k6 | 22 | +1:22.584 | 18 | 1 row 16 : 16 | 73 | christian zaiser | mv agusta f4 1000r | 22 | +1:28.374 | 19 | none row 17 : 17 | 42 | dean ellison | ducati 999rs | 22 | +1:30.184 | 21 | none row 18 : 18 | 36 | jiri drazdak | yamaha yzf-r1 | 21 | +1 lap | 20 | none row 19 : ret | 55 | regis laconi | kawasaki zx-10r | 16 | retirement | 9 | none row 20 : ret | 84 | michel fabrizio | honda cbr1000rr | 5 | retirement | 13 | none

col : points row 1 : 20 row 2 : 6 row 3 : 5 row 4 : 4 row 5 : none

select points where bike = 'honda cbr1000rr' <table_name> : table \begin{tabular}{lllllllll} \toprule & pos & no & rider & bike & laps & time & grid & points \\ \midrule 0 & 1 & 21 & troy bayliss & ducati 999 f07 & 22 & 34:11.276 & 1 & 25 \\ 1 & 2 & 52 & james toseland & honda cbr1000rr & 22 & 2.096 & 2 & 20 \\ 2 & 3 & 3 & max biaggi & suzuki gsx-r1000 k7 & 22 & 10.143 & 5 & 16 \\ 3 & 4 & 41 & noriyuki haga & yamaha yzf-r1 & 22 & 18.923 & 4 & 13 \\ 4 & 5 & 11 & troy corser & yamaha yzf-r1 & 22 & 19.742 & 3 & 11 \\ 5 & 6 & 57 & lorenzo lanzi & ducati 999 f07 & 22 & 24.765 & 10 & 10 \\ 6 & 7 & 111 & ruben xaus & ducati 999 f06 & 22 & 27.404 & 8 & 9 \\ 7 & 8 & 76 & max neukirchner & suzuki gsx-r1000 k6 & 22 & 34.614 & 7 & 8 \\ 8 & 9 & 10 & fonsi nieto & kawasaki zx-10r & 22 & 35.339 & 6 & 7 \\ 9 & 10 & 99 & steve martin & honda cbr1000rr & 22 & 36.238 & 11 & 6 \\ 10 & 11 & 44 & roberto rolfo & honda cbr1000rr & 22 & 38.067 & 15 & 5 \\ 11 & 12 & 25 & josh brookes & honda cbr1000rr & 22 & 47.078 & 12 & 4 \\ 12 & 13 & 38 & shinichi nakatomi & yamaha yzf-r1 & 22 & 58.571 & 17 & 3 \\ 13 & 14 & 96 & jakub smrz & ducati 999 f05 & 22 & +1:08.000 & 14 & 2 \\ 14 & 15 & 53 & alex polita & suzuki gsx-r1000 k6 & 22 & +1:22.584 & 18 & 1 \\ 15 & 16 & 73 & christian zaiser & mv agusta f4 1000r & 22 & +1:28.374 & 19 & none \\ 16 & 17 & 42 & dean ellison & ducati 999rs & 22 & +1:30.184 & 21 & none \\ 17 & 18 & 36 & jiri drazdak & yamaha yzf-r1 & 21 & +1 lap & 20 & none \\ 18 & ret & 55 & regis laconi & kawasaki zx-10r & 16 & retirement & 9 & none \\ 19 & ret & 84 & michel fabrizio & honda cbr1000rr & 5 & retirement & 13 & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & points \\ \midrule 0 & 20 \\ 1 & 6 \\ 2 & 5 \\ 3 & 4 \\ 4 & none \\ \bottomrule \end{tabular}

select points where bike = 'honda cbr1000rr' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>pos</th> <th>no</th> <th>rider</th> <th>bike</th> <th>laps</th> <th>time</th> <th>grid</th> <th>points</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>21</td> <td>troy bayliss</td> <td>ducati 999 f07</td> <td>22</td> <td>34:11.276</td> <td>1</td> <td>25</td> </tr> <tr> <th>1</th> <td>2</td> <td>52</td> <td>james toseland</td> <td>honda cbr1000rr</td> <td>22</td> <td>2.096</td> <td>2</td> <td>20</td> </tr> <tr> <th>2</th> <td>3</td> <td>3</td> <td>max biaggi</td> <td>suzuki gsx-r1000 k7</td> <td>22</td> <td>10.143</td> <td>5</td> <td>16</td> </tr> <tr> <th>3</th> <td>4</td> <td>41</td> <td>noriyuki haga</td> <td>yamaha yzf-r1</td> <td>22</td> <td>18.923</td> <td>4</td> <td>13</td> </tr> <tr> <th>4</th> <td>5</td> <td>11</td> <td>troy corser</td> <td>yamaha yzf-r1</td> <td>22</td> <td>19.742</td> <td>3</td> <td>11</td> </tr> <tr> <th>5</th> <td>6</td> <td>57</td> <td>lorenzo lanzi</td> <td>ducati 999 f07</td> <td>22</td> <td>24.765</td> <td>10</td> <td>10</td> </tr> <tr> <th>6</th> <td>7</td> <td>111</td> <td>ruben xaus</td> <td>ducati 999 f06</td> <td>22</td> <td>27.404</td> <td>8</td> <td>9</td> </tr> <tr> <th>7</th> <td>8</td> <td>76</td> <td>max neukirchner</td> <td>suzuki gsx-r1000 k6</td> <td>22</td> <td>34.614</td> <td>7</td> <td>8</td> </tr> <tr> <th>8</th> <td>9</td> <td>10</td> <td>fonsi nieto</td> <td>kawasaki zx-10r</td> <td>22</td> <td>35.339</td> <td>6</td> <td>7</td> </tr> <tr> <th>9</th> <td>10</td> <td>99</td> <td>steve martin</td> <td>honda cbr1000rr</td> <td>22</td> <td>36.238</td> <td>11</td> <td>6</td> </tr> <tr> <th>10</th> <td>11</td> <td>44</td> <td>roberto rolfo</td> <td>honda cbr1000rr</td> <td>22</td> <td>38.067</td> <td>15</td> <td>5</td> </tr> <tr> <th>11</th> <td>12</td> <td>25</td> <td>josh brookes</td> <td>honda cbr1000rr</td> <td>22</td> <td>47.078</td> <td>12</td> <td>4</td> </tr> <tr> <th>12</th> <td>13</td> <td>38</td> <td>shinichi nakatomi</td> <td>yamaha yzf-r1</td> <td>22</td> <td>58.571</td> <td>17</td> <td>3</td> </tr> <tr> <th>13</th> <td>14</td> <td>96</td> <td>jakub smrz</td> <td>ducati 999 f05</td> <td>22</td> <td>+1:08.000</td> <td>14</td> <td>2</td> </tr> <tr> <th>14</th> <td>15</td> <td>53</td> <td>alex polita</td> <td>suzuki gsx-r1000 k6</td> <td>22</td> <td>+1:22.584</td> <td>18</td> <td>1</td> </tr> <tr> <th>15</th> <td>16</td> <td>73</td> <td>christian zaiser</td> <td>mv agusta f4 1000r</td> <td>22</td> <td>+1:28.374</td> <td>19</td> <td>none</td> </tr> <tr> <th>16</th> <td>17</td> <td>42</td> <td>dean ellison</td> <td>ducati 999rs</td> <td>22</td> <td>+1:30.184</td> <td>21</td> <td>none</td> </tr> <tr> <th>17</th> <td>18</td> <td>36</td> <td>jiri drazdak</td> <td>yamaha yzf-r1</td> <td>21</td> <td>+1 lap</td> <td>20</td> <td>none</td> </tr> <tr> <th>18</th> <td>ret</td> <td>55</td> <td>regis laconi</td> <td>kawasaki zx-10r</td> <td>16</td> <td>retirement</td> <td>9</td> <td>none</td> </tr> <tr> <th>19</th> <td>ret</td> <td>84</td> <td>michel fabrizio</td> <td>honda cbr1000rr</td> <td>5</td> <td>retirement</td> <td>13</td> <td>none</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>points</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>20</td> </tr> <tr> <th>1</th> <td>6</td> </tr> <tr> <th>2</th> <td>5</td> </tr> <tr> <th>3</th> <td>4</td> </tr> <tr> <th>4</th> <td>none</td> </tr> </tbody> </table>

select points where bike = 'honda cbr1000rr' <table_name> : table | | pos | no | rider | bike | laps | time | grid | points | |---:|:------|-----:|:------------------|:--------------------|-------:|:-----------|-------:|:---------| | 0 | 1 | 21 | troy bayliss | ducati 999 f07 | 22 | 34:11.276 | 1 | 25 | | 1 | 2 | 52 | james toseland | honda cbr1000rr | 22 | 2.096 | 2 | 20 | | 2 | 3 | 3 | max biaggi | suzuki gsx-r1000 k7 | 22 | 10.143 | 5 | 16 | | 3 | 4 | 41 | noriyuki haga | yamaha yzf-r1 | 22 | 18.923 | 4 | 13 | | 4 | 5 | 11 | troy corser | yamaha yzf-r1 | 22 | 19.742 | 3 | 11 | | 5 | 6 | 57 | lorenzo lanzi | ducati 999 f07 | 22 | 24.765 | 10 | 10 | | 6 | 7 | 111 | ruben xaus | ducati 999 f06 | 22 | 27.404 | 8 | 9 | | 7 | 8 | 76 | max neukirchner | suzuki gsx-r1000 k6 | 22 | 34.614 | 7 | 8 | | 8 | 9 | 10 | fonsi nieto | kawasaki zx-10r | 22 | 35.339 | 6 | 7 | | 9 | 10 | 99 | steve martin | honda cbr1000rr | 22 | 36.238 | 11 | 6 | | 10 | 11 | 44 | roberto rolfo | honda cbr1000rr | 22 | 38.067 | 15 | 5 | | 11 | 12 | 25 | josh brookes | honda cbr1000rr | 22 | 47.078 | 12 | 4 | | 12 | 13 | 38 | shinichi nakatomi | yamaha yzf-r1 | 22 | 58.571 | 17 | 3 | | 13 | 14 | 96 | jakub smrz | ducati 999 f05 | 22 | +1:08.000 | 14 | 2 | | 14 | 15 | 53 | alex polita | suzuki gsx-r1000 k6 | 22 | +1:22.584 | 18 | 1 | | 15 | 16 | 73 | christian zaiser | mv agusta f4 1000r | 22 | +1:28.374 | 19 | none | | 16 | 17 | 42 | dean ellison | ducati 999rs | 22 | +1:30.184 | 21 | none | | 17 | 18 | 36 | jiri drazdak | yamaha yzf-r1 | 21 | +1 lap | 20 | none | | 18 | ret | 55 | regis laconi | kawasaki zx-10r | 16 | retirement | 9 | none | | 19 | ret | 84 | michel fabrizio | honda cbr1000rr | 5 | retirement | 13 | none |

| | points | |---:|:---------| | 0 | 20 | | 1 | 6 | | 2 | 5 | | 3 | 4 | | 4 | none |

select count ( * ) where position = 'jules alfred le tourneur du coudray' col : from | to | name | party | position row 1 : 1850 | 1862 | m. borgarelli d'ison | none | colonel of infantry e.r row 2 : 1862 | 1869 | jules alfred le tourneur du coudray | none | first secretary for the minister of finance row 3 : 1869 | 1903 | stanislas le tourneur d'ison | none | attached to the taxation administration of france row 4 : none | none | yves le tourneur d'ison | none | doctor of juridical science row 5 : 1966 | 1989 | maurice lecoq | none | market gardener row 6 : 1989 | 2008 | michel deuzet | se | farmer row 7 : 2008 | 2014 | patrice martin | se | bank officer

col : count ( "*" ) row 1 : 0

select count ( * ) where position = 'jules alfred le tourneur du coudray' <table_name> : table \begin{tabular}{llllll} \toprule & from & to & name & party & position \\ \midrule 0 & 1850 & 1862 & m. borgarelli d'ison & none & colonel of infantry e.r \\ 1 & 1862 & 1869 & jules alfred le tourneur du coudray & none & first secretary for the minister of finance \\ 2 & 1869 & 1903 & stanislas le tourneur d'ison & none & attached to the taxation administration of france \\ 3 & none & none & yves le tourneur d'ison & none & doctor of juridical science \\ 4 & 1966 & 1989 & maurice lecoq & none & market gardener \\ 5 & 1989 & 2008 & michel deuzet & se & farmer \\ 6 & 2008 & 2014 & patrice martin & se & bank officer \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 0 \\ \bottomrule \end{tabular}

select count ( * ) where position = 'jules alfred le tourneur du coudray' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>from</th> <th>to</th> <th>name</th> <th>party</th> <th>position</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1850</td> <td>1862</td> <td>m. borgarelli d'ison</td> <td>none</td> <td>colonel of infantry e.r</td> </tr> <tr> <th>1</th> <td>1862</td> <td>1869</td> <td>jules alfred le tourneur du coudray</td> <td>none</td> <td>first secretary for the minister of finance</td> </tr> <tr> <th>2</th> <td>1869</td> <td>1903</td> <td>stanislas le tourneur d'ison</td> <td>none</td> <td>attached to the taxation administration of france</td> </tr> <tr> <th>3</th> <td>none</td> <td>none</td> <td>yves le tourneur d'ison</td> <td>none</td> <td>doctor of juridical science</td> </tr> <tr> <th>4</th> <td>1966</td> <td>1989</td> <td>maurice lecoq</td> <td>none</td> <td>market gardener</td> </tr> <tr> <th>5</th> <td>1989</td> <td>2008</td> <td>michel deuzet</td> <td>se</td> <td>farmer</td> </tr> <tr> <th>6</th> <td>2008</td> <td>2014</td> <td>patrice martin</td> <td>se</td> <td>bank officer</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 position = 'jules alfred le tourneur du coudray' <table_name> : table | | from | to | name | party | position | |---:|:-------|:-----|:------------------------------------|:--------|:--------------------------------------------------| | 0 | 1850 | 1862 | m. borgarelli d'ison | none | colonel of infantry e.r | | 1 | 1862 | 1869 | jules alfred le tourneur du coudray | none | first secretary for the minister of finance | | 2 | 1869 | 1903 | stanislas le tourneur d'ison | none | attached to the taxation administration of france | | 3 | none | none | yves le tourneur d'ison | none | doctor of juridical science | | 4 | 1966 | 1989 | maurice lecoq | none | market gardener | | 5 | 1989 | 2008 | michel deuzet | se | farmer | | 6 | 2008 | 2014 | patrice martin | se | bank officer |

| | count ( "*" ) | |---:|----------------:| | 0 | 0 |

select count ( champion ) where runner-up = 'pekaes pruszkow' col : season | champion | runner-up | score | third place row 1 : 1995-96 | slask eska wrocław | browary tyskie bobry bytom | 4-2 | polonia przemysl row 2 : 1996-97 | mazowszanka pekaes pruszkow | spojnia stargard szczecinski | 4-0 | browary tyskie bobry bytom row 3 : 1997-98 | zepter slask wrocław | pekaes pruszkow | 4-3 | ericsson bobry bytom row 4 : 1998-99 | zepter slask wrocław | anwil nobiles włocławek | 4-3 | ericsson bobry bytom row 5 : 1999-00 | zepter slask wrocław | anwil włocławek | 4-1 | hoop-pekaes pruszkow row 6 : 2000-01 | zepter slask wrocław | anwil włocławek | 4-1 | prokom trefl sopot row 7 : 2001-02 | idea slask wrocław | prokom trefl sopot | 4-1 | stal ost row 8 : wielkopolski | | | | row 9 : 2002-03 | anwil włocławek | prokom trefl sopot | 4-2 | idea slask wrocław row 10 : 2003-04 | prokom trefl sopot | idea slask wrocław | 4-1 | polonia warszawa row 11 : 2004-05 | prokom trefl sopot | anwil włocławek | 4-2 | polonia warszawa row 12 : 2005-06 | prokom trefl sopot | anwil włocławek | 4-1 | energa czarni słupsk row 13 : 2006-07 | prokom trefl sopot | bot tu | | row 14 : zgorzelec | 4-1 | asco slask wrocław | | row 15 : 2007-08 | prokom trefl sopot | pge tu | | row 16 : zgorzelec | 4-3 | asco slask wrocław | | row 17 : 2008-09 | asseco prokom sopot | pge tu | | row 18 : zgorzelec | 4-1 | anwil włocławek | | row 19 : 2009-10 | asseco prokom gdynia | anwil włocławek | 4-0 | polpharma starogard gdanski row 20 : 2010-11 | asseco prokom gdynia | pge tu | | row 21 : zgorzelec | 4-3 | energa czarni słupsk | | row 22 : 2011-12 | asseco prokom gdynia | trefl sopot | 4-3 | zastal zielona gora row 23 : 2012-13 | stelmet zielona gora | pge tu | | row 24 : zgorzelec | 4-0 | azs koszalin | | row 25 : 2013-14 | none | none | none | none

col : count ( "champion" ) row 1 : 1

select count ( champion ) where runner-up = 'pekaes pruszkow' <table_name> : table \begin{tabular}{llllll} \toprule & season & champion & runner-up & score & third place \\ \midrule 0 & 1995-96 & slask eska wrocław & browary tyskie bobry bytom & 4-2 & polonia przemysl \\ 1 & 1996-97 & mazowszanka pekaes pruszkow & spojnia stargard szczecinski & 4-0 & browary tyskie bobry bytom \\ 2 & 1997-98 & zepter slask wrocław & pekaes pruszkow & 4-3 & ericsson bobry bytom \\ 3 & 1998-99 & zepter slask wrocław & anwil nobiles włocławek & 4-3 & ericsson bobry bytom \\ 4 & 1999-00 & zepter slask wrocław & anwil włocławek & 4-1 & hoop-pekaes pruszkow \\ 5 & 2000-01 & zepter slask wrocław & anwil włocławek & 4-1 & prokom trefl sopot \\ 6 & 2001-02 & idea slask wrocław & prokom trefl sopot & 4-1 & stal ost \\ 7 & wielkopolski & & & & \\ 8 & 2002-03 & anwil włocławek & prokom trefl sopot & 4-2 & idea slask wrocław \\ 9 & 2003-04 & prokom trefl sopot & idea slask wrocław & 4-1 & polonia warszawa \\ 10 & 2004-05 & prokom trefl sopot & anwil włocławek & 4-2 & polonia warszawa \\ 11 & 2005-06 & prokom trefl sopot & anwil włocławek & 4-1 & energa czarni słupsk \\ 12 & 2006-07 & prokom trefl sopot & bot tu & & \\ 13 & zgorzelec & 4-1 & asco slask wrocław & & \\ 14 & 2007-08 & prokom trefl sopot & pge tu & & \\ 15 & zgorzelec & 4-3 & asco slask wrocław & & \\ 16 & 2008-09 & asseco prokom sopot & pge tu & & \\ 17 & zgorzelec & 4-1 & anwil włocławek & & \\ 18 & 2009-10 & asseco prokom gdynia & anwil włocławek & 4-0 & polpharma starogard gdanski \\ 19 & 2010-11 & asseco prokom gdynia & pge tu & & \\ 20 & zgorzelec & 4-3 & energa czarni słupsk & & \\ 21 & 2011-12 & asseco prokom gdynia & trefl sopot & 4-3 & zastal zielona gora \\ 22 & 2012-13 & stelmet zielona gora & pge tu & & \\ 23 & zgorzelec & 4-0 & azs koszalin & & \\ 24 & 2013-14 & none & none & none & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "champion" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( champion ) where runner-up = 'pekaes pruszkow' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>season</th> <th>champion</th> <th>runner-up</th> <th>score</th> <th>third place</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1995-96</td> <td>slask eska wrocław</td> <td>browary tyskie bobry bytom</td> <td>4-2</td> <td>polonia przemysl</td> </tr> <tr> <th>1</th> <td>1996-97</td> <td>mazowszanka pekaes pruszkow</td> <td>spojnia stargard szczecinski</td> <td>4-0</td> <td>browary tyskie bobry bytom</td> </tr> <tr> <th>2</th> <td>1997-98</td> <td>zepter slask wrocław</td> <td>pekaes pruszkow</td> <td>4-3</td> <td>ericsson bobry bytom</td> </tr> <tr> <th>3</th> <td>1998-99</td> <td>zepter slask wrocław</td> <td>anwil nobiles włocławek</td> <td>4-3</td> <td>ericsson bobry bytom</td> </tr> <tr> <th>4</th> <td>1999-00</td> <td>zepter slask wrocław</td> <td>anwil włocławek</td> <td>4-1</td> <td>hoop-pekaes pruszkow</td> </tr> <tr> <th>5</th> <td>2000-01</td> <td>zepter slask wrocław</td> <td>anwil włocławek</td> <td>4-1</td> <td>prokom trefl sopot</td> </tr> <tr> <th>6</th> <td>2001-02</td> <td>idea slask wrocław</td> <td>prokom trefl sopot</td> <td>4-1</td> <td>stal ost</td> </tr> <tr> <th>7</th> <td>wielkopolski</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <th>8</th> <td>2002-03</td> <td>anwil włocławek</td> <td>prokom trefl sopot</td> <td>4-2</td> <td>idea slask wrocław</td> </tr> <tr> <th>9</th> <td>2003-04</td> <td>prokom trefl sopot</td> <td>idea slask wrocław</td> <td>4-1</td> <td>polonia warszawa</td> </tr> <tr> <th>10</th> <td>2004-05</td> <td>prokom trefl sopot</td> <td>anwil włocławek</td> <td>4-2</td> <td>polonia warszawa</td> </tr> <tr> <th>11</th> <td>2005-06</td> <td>prokom trefl sopot</td> <td>anwil włocławek</td> <td>4-1</td> <td>energa czarni słupsk</td> </tr> <tr> <th>12</th> <td>2006-07</td> <td>prokom trefl sopot</td> <td>bot tu</td> <td></td> <td></td> </tr> <tr> <th>13</th> <td>zgorzelec</td> <td>4-1</td> <td>asco slask wrocław</td> <td></td> <td></td> </tr> <tr> <th>14</th> <td>2007-08</td> <td>prokom trefl sopot</td> <td>pge tu</td> <td></td> <td></td> </tr> <tr> <th>15</th> <td>zgorzelec</td> <td>4-3</td> <td>asco slask wrocław</td> <td></td> <td></td> </tr> <tr> <th>16</th> <td>2008-09</td> <td>asseco prokom sopot</td> <td>pge tu</td> <td></td> <td></td> </tr> <tr> <th>17</th> <td>zgorzelec</td> <td>4-1</td> <td>anwil włocławek</td> <td></td> <td></td> </tr> <tr> <th>18</th> <td>2009-10</td> <td>asseco prokom gdynia</td> <td>anwil włocławek</td> <td>4-0</td> <td>polpharma starogard gdanski</td> </tr> <tr> <th>19</th> <td>2010-11</td> <td>asseco prokom gdynia</td> <td>pge tu</td> <td></td> <td></td> </tr> <tr> <th>20</th> <td>zgorzelec</td> <td>4-3</td> <td>energa czarni słupsk</td> <td></td> <td></td> </tr> <tr> <th>21</th> <td>2011-12</td> <td>asseco prokom gdynia</td> <td>trefl sopot</td> <td>4-3</td> <td>zastal zielona gora</td> </tr> <tr> <th>22</th> <td>2012-13</td> <td>stelmet zielona gora</td> <td>pge tu</td> <td></td> <td></td> </tr> <tr> <th>23</th> <td>zgorzelec</td> <td>4-0</td> <td>azs koszalin</td> <td></td> <td></td> </tr> <tr> <th>24</th> <td>2013-14</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 ( "champion" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( champion ) where runner-up = 'pekaes pruszkow' <table_name> : table | | season | champion | runner-up | score | third place | |---:|:-------------|:----------------------------|:-----------------------------|:--------|:----------------------------| | 0 | 1995-96 | slask eska wrocław | browary tyskie bobry bytom | 4-2 | polonia przemysl | | 1 | 1996-97 | mazowszanka pekaes pruszkow | spojnia stargard szczecinski | 4-0 | browary tyskie bobry bytom | | 2 | 1997-98 | zepter slask wrocław | pekaes pruszkow | 4-3 | ericsson bobry bytom | | 3 | 1998-99 | zepter slask wrocław | anwil nobiles włocławek | 4-3 | ericsson bobry bytom | | 4 | 1999-00 | zepter slask wrocław | anwil włocławek | 4-1 | hoop-pekaes pruszkow | | 5 | 2000-01 | zepter slask wrocław | anwil włocławek | 4-1 | prokom trefl sopot | | 6 | 2001-02 | idea slask wrocław | prokom trefl sopot | 4-1 | stal ost | | 7 | wielkopolski | | | | | | 8 | 2002-03 | anwil włocławek | prokom trefl sopot | 4-2 | idea slask wrocław | | 9 | 2003-04 | prokom trefl sopot | idea slask wrocław | 4-1 | polonia warszawa | | 10 | 2004-05 | prokom trefl sopot | anwil włocławek | 4-2 | polonia warszawa | | 11 | 2005-06 | prokom trefl sopot | anwil włocławek | 4-1 | energa czarni słupsk | | 12 | 2006-07 | prokom trefl sopot | bot tu | | | | 13 | zgorzelec | 4-1 | asco slask wrocław | | | | 14 | 2007-08 | prokom trefl sopot | pge tu | | | | 15 | zgorzelec | 4-3 | asco slask wrocław | | | | 16 | 2008-09 | asseco prokom sopot | pge tu | | | | 17 | zgorzelec | 4-1 | anwil włocławek | | | | 18 | 2009-10 | asseco prokom gdynia | anwil włocławek | 4-0 | polpharma starogard gdanski | | 19 | 2010-11 | asseco prokom gdynia | pge tu | | | | 20 | zgorzelec | 4-3 | energa czarni słupsk | | | | 21 | 2011-12 | asseco prokom gdynia | trefl sopot | 4-3 | zastal zielona gora | | 22 | 2012-13 | stelmet zielona gora | pge tu | | | | 23 | zgorzelec | 4-0 | azs koszalin | | | | 24 | 2013-14 | none | none | none | none |

| | count ( "champion" ) | |---:|-----------------------:| | 0 | 1 |

select hanzi where density (/km2) > 10 col : # | name | hanzi | hanyu pinyin | population (2003 est.) | area (km2) | density (/km2) row 1 : 1 | aimin district | 爱民区 | aimin qu | 230000 | 359 | 641 row 2 : 2 | dong'an district | 东安区 | dong'an qu | 180000 | 566 | 318 row 3 : 3 | yangming district | 阳明区 | yangming qu | 160000 | 358 | 447 row 4 : 4 | xi'an district | 西安区 | xi'an qu | 210000 | 325 | 646 row 5 : 5 | muling city | 穆棱市 | muling shi | 330000 | 6094 | 54 row 6 : 6 | suifenhe city | 绥芬河市 | suifenhe shi | 60000 | 427 | 141 row 7 : 7 | hailin city | 海林市 | hailin shi | 440000 | 9877 | 45 row 8 : 8 | ning'an city | 宁安市 | ning'an shi | 440000 | 7870 | 56 row 9 : 9 | dongning county | 东宁县 | dongning xian | 210000 | 7368 | 29 row 10 : 10 | linkou county | 林口县 | linkou xian | 450000 | 7191 | 63

col : hanzi row 1 : 爱民区 row 2 : 东安区 row 3 : 阳明区 row 4 : 西安区 row 5 : 穆棱市 row 6 : 绥芬河市 row 7 : 海林市 row 8 : 宁安市 row 9 : 东宁县 row 10 : 林口县

select hanzi where density (/km2) > 10 <table_name> : table \begin{tabular}{llllllll} \toprule & # & name & hanzi & hanyu pinyin & population (2003 est.) & area (km2) & density (/km2) \\ \midrule 0 & 1 & aimin district & 爱民区 & aimin qu & 230000 & 359 & 641 \\ 1 & 2 & dong'an district & 东安区 & dong'an qu & 180000 & 566 & 318 \\ 2 & 3 & yangming district & 阳明区 & yangming qu & 160000 & 358 & 447 \\ 3 & 4 & xi'an district & 西安区 & xi'an qu & 210000 & 325 & 646 \\ 4 & 5 & muling city & 穆棱市 & muling shi & 330000 & 6094 & 54 \\ 5 & 6 & suifenhe city & 绥芬河市 & suifenhe shi & 60000 & 427 & 141 \\ 6 & 7 & hailin city & 海林市 & hailin shi & 440000 & 9877 & 45 \\ 7 & 8 & ning'an city & 宁安市 & ning'an shi & 440000 & 7870 & 56 \\ 8 & 9 & dongning county & 东宁县 & dongning xian & 210000 & 7368 & 29 \\ 9 & 10 & linkou county & 林口县 & linkou xian & 450000 & 7191 & 63 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & hanzi \\ \midrule 0 & 爱民区 \\ 1 & 东安区 \\ 2 & 阳明区 \\ 3 & 西安区 \\ 4 & 穆棱市 \\ 5 & 绥芬河市 \\ 6 & 海林市 \\ 7 & 宁安市 \\ 8 & 东宁县 \\ 9 & 林口县 \\ \bottomrule \end{tabular}

select hanzi where density (/km2) > 10 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>#</th> <th>name</th> <th>hanzi</th> <th>hanyu pinyin</th> <th>population (2003 est.)</th> <th>area (km2)</th> <th>density (/km2)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>aimin district</td> <td>爱民区</td> <td>aimin qu</td> <td>230000</td> <td>359</td> <td>641</td> </tr> <tr> <th>1</th> <td>2</td> <td>dong'an district</td> <td>东安区</td> <td>dong'an qu</td> <td>180000</td> <td>566</td> <td>318</td> </tr> <tr> <th>2</th> <td>3</td> <td>yangming district</td> <td>阳明区</td> <td>yangming qu</td> <td>160000</td> <td>358</td> <td>447</td> </tr> <tr> <th>3</th> <td>4</td> <td>xi'an district</td> <td>西安区</td> <td>xi'an qu</td> <td>210000</td> <td>325</td> <td>646</td> </tr> <tr> <th>4</th> <td>5</td> <td>muling city</td> <td>穆棱市</td> <td>muling shi</td> <td>330000</td> <td>6094</td> <td>54</td> </tr> <tr> <th>5</th> <td>6</td> <td>suifenhe city</td> <td>绥芬河市</td> <td>suifenhe shi</td> <td>60000</td> <td>427</td> <td>141</td> </tr> <tr> <th>6</th> <td>7</td> <td>hailin city</td> <td>海林市</td> <td>hailin shi</td> <td>440000</td> <td>9877</td> <td>45</td> </tr> <tr> <th>7</th> <td>8</td> <td>ning'an city</td> <td>宁安市</td> <td>ning'an shi</td> <td>440000</td> <td>7870</td> <td>56</td> </tr> <tr> <th>8</th> <td>9</td> <td>dongning county</td> <td>东宁县</td> <td>dongning xian</td> <td>210000</td> <td>7368</td> <td>29</td> </tr> <tr> <th>9</th> <td>10</td> <td>linkou county</td> <td>林口县</td> <td>linkou xian</td> <td>450000</td> <td>7191</td> <td>63</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>hanzi</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>爱民区</td> </tr> <tr> <th>1</th> <td>东安区</td> </tr> <tr> <th>2</th> <td>阳明区</td> </tr> <tr> <th>3</th> <td>西安区</td> </tr> <tr> <th>4</th> <td>穆棱市</td> </tr> <tr> <th>5</th> <td>绥芬河市</td> </tr> <tr> <th>6</th> <td>海林市</td> </tr> <tr> <th>7</th> <td>宁安市</td> </tr> <tr> <th>8</th> <td>东宁县</td> </tr> <tr> <th>9</th> <td>林口县</td> </tr> </tbody> </table>

select hanzi where density (/km2) > 10 <table_name> : table | | # | name | hanzi | hanyu pinyin | population (2003 est.) | area (km2) | density (/km2) | |---:|----:|:------------------|:---------|:---------------|-------------------------:|-------------:|-----------------:| | 0 | 1 | aimin district | 爱民区 | aimin qu | 230000 | 359 | 641 | | 1 | 2 | dong'an district | 东安区 | dong'an qu | 180000 | 566 | 318 | | 2 | 3 | yangming district | 阳明区 | yangming qu | 160000 | 358 | 447 | | 3 | 4 | xi'an district | 西安区 | xi'an qu | 210000 | 325 | 646 | | 4 | 5 | muling city | 穆棱市 | muling shi | 330000 | 6094 | 54 | | 5 | 6 | suifenhe city | 绥芬河市 | suifenhe shi | 60000 | 427 | 141 | | 6 | 7 | hailin city | 海林市 | hailin shi | 440000 | 9877 | 45 | | 7 | 8 | ning'an city | 宁安市 | ning'an shi | 440000 | 7870 | 56 | | 8 | 9 | dongning county | 东宁县 | dongning xian | 210000 | 7368 | 29 | | 9 | 10 | linkou county | 林口县 | linkou xian | 450000 | 7191 | 63 |

| | hanzi | |---:|:---------| | 0 | 爱民区 | | 1 | 东安区 | | 2 | 阳明区 | | 3 | 西安区 | | 4 | 穆棱市 | | 5 | 绥芬河市 | | 6 | 海林市 | | 7 | 宁安市 | | 8 | 东宁县 | | 9 | 林口县 |

select chart positions where year > 1361 col : album title | format | year | original label | chart positions row 1 : distant plastic trees | lp | 1991.0 | red flame | none row 2 : the wayward bus | lp | 1992.0 | popup | none row 3 : the house of tomor | | | | row 4 : | ep | 1992.0 | feel good all over | none row 5 : the charm of the highway strip | lp | 1994.0 | merge records | none row 6 : holiday | lp | 1994.0 | feel good all over | none row 7 : get lost | lp | 1995.0 | merge records | none row 8 : 69 love songs | lp | 1999.0 | merge records | none row 9 : i | lp | 2004.0 | nonesuch records | #152 (billboard 200) row 10 : distortion | lp | 2008.0 | nonesuch records | #77 (billboard 200) row 11 : realism | lp | 2010.0 | nonesuch records | #110 (billboard 200) row 12 : love at the bottom of the sea | lp | 2012.0 | merge records | #89 (billboard 200)

col : chart positions row 1 : none row 2 : none row 3 : none row 4 : none row 5 : none row 6 : none row 7 : none row 8 : #152 (billboard 200) row 9 : #77 (billboard 200) row 10 : #110 (billboard 200) row 11 : #89 (billboard 200)

select chart positions where year > 1361 <table_name> : table \begin{tabular}{llllll} \toprule & album title & format & year & original label & chart positions \\ \midrule 0 & distant plastic trees & lp & 1991.0 & red flame & none \\ 1 & the wayward bus & lp & 1992.0 & popup & none \\ 2 & the house of tomor & & & & \\ 3 & & ep & 1992.0 & feel good all over & none \\ 4 & the charm of the highway strip & lp & 1994.0 & merge records & none \\ 5 & holiday & lp & 1994.0 & feel good all over & none \\ 6 & get lost & lp & 1995.0 & merge records & none \\ 7 & 69 love songs & lp & 1999.0 & merge records & none \\ 8 & i & lp & 2004.0 & nonesuch records & #152 (billboard 200) \\ 9 & distortion & lp & 2008.0 & nonesuch records & #77 (billboard 200) \\ 10 & realism & lp & 2010.0 & nonesuch records & #110 (billboard 200) \\ 11 & love at the bottom of the sea & lp & 2012.0 & merge records & #89 (billboard 200) \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & chart positions \\ \midrule 0 & none \\ 1 & none \\ 2 & none \\ 3 & none \\ 4 & none \\ 5 & none \\ 6 & none \\ 7 & #152 (billboard 200) \\ 8 & #77 (billboard 200) \\ 9 & #110 (billboard 200) \\ 10 & #89 (billboard 200) \\ \bottomrule \end{tabular}

select chart positions where year > 1361 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>album title</th> <th>format</th> <th>year</th> <th>original label</th> <th>chart positions</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>distant plastic trees</td> <td>lp</td> <td>1991.0</td> <td>red flame</td> <td>none</td> </tr> <tr> <th>1</th> <td>the wayward bus</td> <td>lp</td> <td>1992.0</td> <td>popup</td> <td>none</td> </tr> <tr> <th>2</th> <td>the house of tomor</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <th>3</th> <td></td> <td>ep</td> <td>1992.0</td> <td>feel good all over</td> <td>none</td> </tr> <tr> <th>4</th> <td>the charm of the highway strip</td> <td>lp</td> <td>1994.0</td> <td>merge records</td> <td>none</td> </tr> <tr> <th>5</th> <td>holiday</td> <td>lp</td> <td>1994.0</td> <td>feel good all over</td> <td>none</td> </tr> <tr> <th>6</th> <td>get lost</td> <td>lp</td> <td>1995.0</td> <td>merge records</td> <td>none</td> </tr> <tr> <th>7</th> <td>69 love songs</td> <td>lp</td> <td>1999.0</td> <td>merge records</td> <td>none</td> </tr> <tr> <th>8</th> <td>i</td> <td>lp</td> <td>2004.0</td> <td>nonesuch records</td> <td>#152 (billboard 200)</td> </tr> <tr> <th>9</th> <td>distortion</td> <td>lp</td> <td>2008.0</td> <td>nonesuch records</td> <td>#77 (billboard 200)</td> </tr> <tr> <th>10</th> <td>realism</td> <td>lp</td> <td>2010.0</td> <td>nonesuch records</td> <td>#110 (billboard 200)</td> </tr> <tr> <th>11</th> <td>love at the bottom of the sea</td> <td>lp</td> <td>2012.0</td> <td>merge records</td> <td>#89 (billboard 200)</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>chart positions</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>none</td> </tr> <tr> <th>1</th> <td>none</td> </tr> <tr> <th>2</th> <td>none</td> </tr> <tr> <th>3</th> <td>none</td> </tr> <tr> <th>4</th> <td>none</td> </tr> <tr> <th>5</th> <td>none</td> </tr> <tr> <th>6</th> <td>none</td> </tr> <tr> <th>7</th> <td>#152 (billboard 200)</td> </tr> <tr> <th>8</th> <td>#77 (billboard 200)</td> </tr> <tr> <th>9</th> <td>#110 (billboard 200)</td> </tr> <tr> <th>10</th> <td>#89 (billboard 200)</td> </tr> </tbody> </table>

select chart positions where year > 1361 <table_name> : table | | album title | format | year | original label | chart positions | |---:|:-------------------------------|:---------|:-------|:-------------------|:---------------------| | 0 | distant plastic trees | lp | 1991.0 | red flame | none | | 1 | the wayward bus | lp | 1992.0 | popup | none | | 2 | the house of tomor | | | | | | 3 | | ep | 1992.0 | feel good all over | none | | 4 | the charm of the highway strip | lp | 1994.0 | merge records | none | | 5 | holiday | lp | 1994.0 | feel good all over | none | | 6 | get lost | lp | 1995.0 | merge records | none | | 7 | 69 love songs | lp | 1999.0 | merge records | none | | 8 | i | lp | 2004.0 | nonesuch records | #152 (billboard 200) | | 9 | distortion | lp | 2008.0 | nonesuch records | #77 (billboard 200) | | 10 | realism | lp | 2010.0 | nonesuch records | #110 (billboard 200) | | 11 | love at the bottom of the sea | lp | 2012.0 | merge records | #89 (billboard 200) |

| | chart positions | |---:|:---------------------| | 0 | none | | 1 | none | | 2 | none | | 3 | none | | 4 | none | | 5 | none | | 6 | none | | 7 | #152 (billboard 200) | | 8 | #77 (billboard 200) | | 9 | #110 (billboard 200) | | 10 | #89 (billboard 200) |

select count ( comments ) where dates = '1937-1948, 1948-1949, 1973-1976' col : mine | province | coordinates | town | dates | comments row 1 : barton mine | ontario | 47°07′08.75′′n 79°47′09.58′′w / 47.1190972°n 79.7859944°w | temagami | 1906-1918 | secondary products included gold, silver, copper and bismuth row 2 : beanland mine | ontario | 47°05′28.71′′n 79°49′30.83′′w / 47.0913083°n 79.8252306°w | temagami | 1937-1938 | also produced silver row 3 : big dan mine | ontario | 47°05′28.53′′n 79°46′28.95′′w / 47.0912583°n 79.7747083°w | temagami | 1906-1907 | also produced silver and arsenic row 4 : copperfields mine | ontario | 46°57′44.41′′n 80°02′13.67′′w / 46.9623361°n 80.0371306°w | temagami | 1954-1972 | secondary products included cobalt, gold, nickel, palladium, platinum and silver row 5 : dome mine | ontario | none | timmins | none | none row 6 : golden giant mine | ontario | none | hemlo | 1985-2006 | none row 7 : hermiston-mccauley mine | ontario | 47°05′54.30′′n 79°49′38.18′′w / 47.0984167°n 79.8272722°w | temagami | 1935-1940 | none row 8 : kanichee mine | ontario | 47°06′13.07′′n 79°50′38.63′′w / 47.1036306°n 79.8440639°w | temagami | 1937-1948, 1948-1949, 1973-1976 | secondary products included gold, palladium, silver and platinum row 9 : leckie mine | ontario | 47°05′36.34′′n 79°47′48.68′′w / 47.0934278°n 79.7968556°w | temagami | ~1900-1909, 1933-1937 | also produced arsenic, copper and silver row 10 : mcintyre mines | ontario | none | none | none | none row 11 : norrie mine | ontario | 47°06′59.59′′n 79°46′27.63′′w / 47.1165528°n 79.7743417°w | temagami | prior to 1920 | secondary products included lead, gold, zinc and silver row 12 : northland pyrite mine | ontario | 47°10′26.24′′n 79°44′34.45′′w / 47.1739556°n 79.7429028°w | temagami | 1906-1911 | secondary products included cobalt, copper, zinc, gold and nickel row 13 : red lake mine | ontario | none | red lake | none | none row 14 : temagami-lorrain mine | ontario | 47°06′39.79′′n 79°40′58.2′′w / 47.1110528°n 79.682833°w | temagami | prior to 1912 | also produced cobalt, arsenic, silver, nickel and copper

col : count ( "comments" ) row 1 : 1

select count ( comments ) where dates = '1937-1948, 1948-1949, 1973-1976' <table_name> : table \begin{tabular}{lllllll} \toprule & mine & province & coordinates & town & dates & comments \\ \midrule 0 & barton mine & ontario & 47°07′08.75′′n 79°47′09.58′′w / 47.1190972°n 79.7859944°w & temagami & 1906-1918 & secondary products included gold, silver, copper and bismuth \\ 1 & beanland mine & ontario & 47°05′28.71′′n 79°49′30.83′′w / 47.0913083°n 79.8252306°w & temagami & 1937-1938 & also produced silver \\ 2 & big dan mine & ontario & 47°05′28.53′′n 79°46′28.95′′w / 47.0912583°n 79.7747083°w & temagami & 1906-1907 & also produced silver and arsenic \\ 3 & copperfields mine & ontario & 46°57′44.41′′n 80°02′13.67′′w / 46.9623361°n 80.0371306°w & temagami & 1954-1972 & secondary products included cobalt, gold, nickel, palladium, platinum and silver \\ 4 & dome mine & ontario & none & timmins & none & none \\ 5 & golden giant mine & ontario & none & hemlo & 1985-2006 & none \\ 6 & hermiston-mccauley mine & ontario & 47°05′54.30′′n 79°49′38.18′′w / 47.0984167°n 79.8272722°w & temagami & 1935-1940 & none \\ 7 & kanichee mine & ontario & 47°06′13.07′′n 79°50′38.63′′w / 47.1036306°n 79.8440639°w & temagami & 1937-1948, 1948-1949, 1973-1976 & secondary products included gold, palladium, silver and platinum \\ 8 & leckie mine & ontario & 47°05′36.34′′n 79°47′48.68′′w / 47.0934278°n 79.7968556°w & temagami & ~1900-1909, 1933-1937 & also produced arsenic, copper and silver \\ 9 & mcintyre mines & ontario & none & none & none & none \\ 10 & norrie mine & ontario & 47°06′59.59′′n 79°46′27.63′′w / 47.1165528°n 79.7743417°w & temagami & prior to 1920 & secondary products included lead, gold, zinc and silver \\ 11 & northland pyrite mine & ontario & 47°10′26.24′′n 79°44′34.45′′w / 47.1739556°n 79.7429028°w & temagami & 1906-1911 & secondary products included cobalt, copper, zinc, gold and nickel \\ 12 & red lake mine & ontario & none & red lake & none & none \\ 13 & temagami-lorrain mine & ontario & 47°06′39.79′′n 79°40′58.2′′w / 47.1110528°n 79.682833°w & temagami & prior to 1912 & also produced cobalt, arsenic, silver, nickel and copper \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "comments" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( comments ) where dates = '1937-1948, 1948-1949, 1973-1976' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>mine</th> <th>province</th> <th>coordinates</th> <th>town</th> <th>dates</th> <th>comments</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>barton mine</td> <td>ontario</td> <td>47°07′08.75′′n 79°47′09.58′′w / 47.1190972°n 79.7859944°w</td> <td>temagami</td> <td>1906-1918</td> <td>secondary products included gold, silver, copper and bismuth</td> </tr> <tr> <th>1</th> <td>beanland mine</td> <td>ontario</td> <td>47°05′28.71′′n 79°49′30.83′′w / 47.0913083°n 79.8252306°w</td> <td>temagami</td> <td>1937-1938</td> <td>also produced silver</td> </tr> <tr> <th>2</th> <td>big dan mine</td> <td>ontario</td> <td>47°05′28.53′′n 79°46′28.95′′w / 47.0912583°n 79.7747083°w</td> <td>temagami</td> <td>1906-1907</td> <td>also produced silver and arsenic</td> </tr> <tr> <th>3</th> <td>copperfields mine</td> <td>ontario</td> <td>46°57′44.41′′n 80°02′13.67′′w / 46.9623361°n 80.0371306°w</td> <td>temagami</td> <td>1954-1972</td> <td>secondary products included cobalt, gold, nickel, palladium, platinum and silver</td> </tr> <tr> <th>4</th> <td>dome mine</td> <td>ontario</td> <td>none</td> <td>timmins</td> <td>none</td> <td>none</td> </tr> <tr> <th>5</th> <td>golden giant mine</td> <td>ontario</td> <td>none</td> <td>hemlo</td> <td>1985-2006</td> <td>none</td> </tr> <tr> <th>6</th> <td>hermiston-mccauley mine</td> <td>ontario</td> <td>47°05′54.30′′n 79°49′38.18′′w / 47.0984167°n 79.8272722°w</td> <td>temagami</td> <td>1935-1940</td> <td>none</td> </tr> <tr> <th>7</th> <td>kanichee mine</td> <td>ontario</td> <td>47°06′13.07′′n 79°50′38.63′′w / 47.1036306°n 79.8440639°w</td> <td>temagami</td> <td>1937-1948, 1948-1949, 1973-1976</td> <td>secondary products included gold, palladium, silver and platinum</td> </tr> <tr> <th>8</th> <td>leckie mine</td> <td>ontario</td> <td>47°05′36.34′′n 79°47′48.68′′w / 47.0934278°n 79.7968556°w</td> <td>temagami</td> <td>~1900-1909, 1933-1937</td> <td>also produced arsenic, copper and silver</td> </tr> <tr> <th>9</th> <td>mcintyre mines</td> <td>ontario</td> <td>none</td> <td>none</td> <td>none</td> <td>none</td> </tr> <tr> <th>10</th> <td>norrie mine</td> <td>ontario</td> <td>47°06′59.59′′n 79°46′27.63′′w / 47.1165528°n 79.7743417°w</td> <td>temagami</td> <td>prior to 1920</td> <td>secondary products included lead, gold, zinc and silver</td> </tr> <tr> <th>11</th> <td>northland pyrite mine</td> <td>ontario</td> <td>47°10′26.24′′n 79°44′34.45′′w / 47.1739556°n 79.7429028°w</td> <td>temagami</td> <td>1906-1911</td> <td>secondary products included cobalt, copper, zinc, gold and nickel</td> </tr> <tr> <th>12</th> <td>red lake mine</td> <td>ontario</td> <td>none</td> <td>red lake</td> <td>none</td> <td>none</td> </tr> <tr> <th>13</th> <td>temagami-lorrain mine</td> <td>ontario</td> <td>47°06′39.79′′n 79°40′58.2′′w / 47.1110528°n 79.682833°w</td> <td>temagami</td> <td>prior to 1912</td> <td>also produced cobalt, arsenic, silver, nickel and copper</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "comments" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( comments ) where dates = '1937-1948, 1948-1949, 1973-1976' <table_name> : table | | mine | province | coordinates | town | dates | comments | |---:|:------------------------|:-----------|:----------------------------------------------------------|:---------|:--------------------------------|:---------------------------------------------------------------------------------| | 0 | barton mine | ontario | 47°07′08.75′′n 79°47′09.58′′w / 47.1190972°n 79.7859944°w | temagami | 1906-1918 | secondary products included gold, silver, copper and bismuth | | 1 | beanland mine | ontario | 47°05′28.71′′n 79°49′30.83′′w / 47.0913083°n 79.8252306°w | temagami | 1937-1938 | also produced silver | | 2 | big dan mine | ontario | 47°05′28.53′′n 79°46′28.95′′w / 47.0912583°n 79.7747083°w | temagami | 1906-1907 | also produced silver and arsenic | | 3 | copperfields mine | ontario | 46°57′44.41′′n 80°02′13.67′′w / 46.9623361°n 80.0371306°w | temagami | 1954-1972 | secondary products included cobalt, gold, nickel, palladium, platinum and silver | | 4 | dome mine | ontario | none | timmins | none | none | | 5 | golden giant mine | ontario | none | hemlo | 1985-2006 | none | | 6 | hermiston-mccauley mine | ontario | 47°05′54.30′′n 79°49′38.18′′w / 47.0984167°n 79.8272722°w | temagami | 1935-1940 | none | | 7 | kanichee mine | ontario | 47°06′13.07′′n 79°50′38.63′′w / 47.1036306°n 79.8440639°w | temagami | 1937-1948, 1948-1949, 1973-1976 | secondary products included gold, palladium, silver and platinum | | 8 | leckie mine | ontario | 47°05′36.34′′n 79°47′48.68′′w / 47.0934278°n 79.7968556°w | temagami | ~1900-1909, 1933-1937 | also produced arsenic, copper and silver | | 9 | mcintyre mines | ontario | none | none | none | none | | 10 | norrie mine | ontario | 47°06′59.59′′n 79°46′27.63′′w / 47.1165528°n 79.7743417°w | temagami | prior to 1920 | secondary products included lead, gold, zinc and silver | | 11 | northland pyrite mine | ontario | 47°10′26.24′′n 79°44′34.45′′w / 47.1739556°n 79.7429028°w | temagami | 1906-1911 | secondary products included cobalt, copper, zinc, gold and nickel | | 12 | red lake mine | ontario | none | red lake | none | none | | 13 | temagami-lorrain mine | ontario | 47°06′39.79′′n 79°40′58.2′′w / 47.1110528°n 79.682833°w | temagami | prior to 1912 | also produced cobalt, arsenic, silver, nickel and copper |

| | count ( "comments" ) | |---:|-----------------------:| | 0 | 1 |

select pick where pba team = 'pop cola 800s' col : pick | player | country of origin | pba team | college row 1 : 1 | danilo ildefonso | philippines | formula shell zoom masters | national row 2 : 2 | noy castillo | united states | san miguel beermen | the citadel row 3 : 3 | ali peek | united states | pop cola 800s | saint mary row 4 : 4 | brixter encarnacion | philippines | pop cola 800s | san sebastian row 5 : 5 | william antonio | united states | san miguel beermen | chaminade university row 6 : 6 | banjo calpito | philippines | sta. lucia realtors | san sebastian row 7 : 7 | henry fernandez | philippines | purefoods carne norte beefies | visayas row 8 : 8 | steven smith | united states | gordon's gin boars | united states international university

col : pick row 1 : 3 row 2 : 4

select pick where pba team = 'pop cola 800s' <table_name> : table \begin{tabular}{llllll} \toprule & pick & player & country of origin & pba team & college \\ \midrule 0 & 1 & danilo ildefonso & philippines & formula shell zoom masters & national \\ 1 & 2 & noy castillo & united states & san miguel beermen & the citadel \\ 2 & 3 & ali peek & united states & pop cola 800s & saint mary \\ 3 & 4 & brixter encarnacion & philippines & pop cola 800s & san sebastian \\ 4 & 5 & william antonio & united states & san miguel beermen & chaminade university \\ 5 & 6 & banjo calpito & philippines & sta. lucia realtors & san sebastian \\ 6 & 7 & henry fernandez & philippines & purefoods carne norte beefies & visayas \\ 7 & 8 & steven smith & united states & gordon's gin boars & united states international university \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & pick \\ \midrule 0 & 3 \\ 1 & 4 \\ \bottomrule \end{tabular}

select pick where pba team = 'pop cola 800s' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>pick</th> <th>player</th> <th>country of origin</th> <th>pba team</th> <th>college</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>danilo ildefonso</td> <td>philippines</td> <td>formula shell zoom masters</td> <td>national</td> </tr> <tr> <th>1</th> <td>2</td> <td>noy castillo</td> <td>united states</td> <td>san miguel beermen</td> <td>the citadel</td> </tr> <tr> <th>2</th> <td>3</td> <td>ali peek</td> <td>united states</td> <td>pop cola 800s</td> <td>saint mary</td> </tr> <tr> <th>3</th> <td>4</td> <td>brixter encarnacion</td> <td>philippines</td> <td>pop cola 800s</td> <td>san sebastian</td> </tr> <tr> <th>4</th> <td>5</td> <td>william antonio</td> <td>united states</td> <td>san miguel beermen</td> <td>chaminade university</td> </tr> <tr> <th>5</th> <td>6</td> <td>banjo calpito</td> <td>philippines</td> <td>sta. lucia realtors</td> <td>san sebastian</td> </tr> <tr> <th>6</th> <td>7</td> <td>henry fernandez</td> <td>philippines</td> <td>purefoods carne norte beefies</td> <td>visayas</td> </tr> <tr> <th>7</th> <td>8</td> <td>steven smith</td> <td>united states</td> <td>gordon's gin boars</td> <td>united states international university</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>3</td> </tr> <tr> <th>1</th> <td>4</td> </tr> </tbody> </table>

select pick where pba team = 'pop cola 800s' <table_name> : table | | pick | player | country of origin | pba team | college | |---:|-------:|:--------------------|:--------------------|:------------------------------|:---------------------------------------| | 0 | 1 | danilo ildefonso | philippines | formula shell zoom masters | national | | 1 | 2 | noy castillo | united states | san miguel beermen | the citadel | | 2 | 3 | ali peek | united states | pop cola 800s | saint mary | | 3 | 4 | brixter encarnacion | philippines | pop cola 800s | san sebastian | | 4 | 5 | william antonio | united states | san miguel beermen | chaminade university | | 5 | 6 | banjo calpito | philippines | sta. lucia realtors | san sebastian | | 6 | 7 | henry fernandez | philippines | purefoods carne norte beefies | visayas | | 7 | 8 | steven smith | united states | gordon's gin boars | united states international university |

| | pick | |---:|-------:| | 0 | 3 | | 1 | 4 |

select jan where month = 'precipitation inches (mm)' col : month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec | year row 1 : average high °f (°c) | 64 (18) | 63 (17) | 63 (17) | 64 (18) | 65 (18) | 67 (19) | 70 (21) | 71 (22) | 71 (22) | 70 (21) | 67 (19) | 64 (18) | 66.6 (19.2) row 2 : average low °f (°c) | 51 (11) | 52 (11) | 53 (12) | 55 (13) | 57 (14) | 60 (16) | 63 (17) | 63 (17) | 63 (17) | 60 (16) | 55 (13) | 51 (11) | 56.9 (14) row 3 : precipitation inches (mm) | 2.84 (72.1) | 3.44 (87.4) | 1.96 (49.8) | 0.66 (16.8) | 0.21 (5.3) | 0.04 (1) | 0.01 (0.3) | 0.04 (1) | 0.13 (3.3) | 0.50 (12.7) | 1.08 (27.4) | 1.88 (47.8) | 12.79 (324.9) row 4 : avg. rainy days | 7.0 | 7.9 | 5.1 | 2.4 | 1.0 | 0.4 | 0.1 | 0.5 | 1.0 | 0.8 | 2.5 | 4.0 | 32.7

col : jan row 1 : 2.84 (72.1)

select jan where month = 'precipitation inches (mm)' <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 °f (°c) & 64 (18) & 63 (17) & 63 (17) & 64 (18) & 65 (18) & 67 (19) & 70 (21) & 71 (22) & 71 (22) & 70 (21) & 67 (19) & 64 (18) & 66.6 (19.2) \\ 1 & average low °f (°c) & 51 (11) & 52 (11) & 53 (12) & 55 (13) & 57 (14) & 60 (16) & 63 (17) & 63 (17) & 63 (17) & 60 (16) & 55 (13) & 51 (11) & 56.9 (14) \\ 2 & precipitation inches (mm) & 2.84 (72.1) & 3.44 (87.4) & 1.96 (49.8) & 0.66 (16.8) & 0.21 (5.3) & 0.04 (1) & 0.01 (0.3) & 0.04 (1) & 0.13 (3.3) & 0.50 (12.7) & 1.08 (27.4) & 1.88 (47.8) & 12.79 (324.9) \\ 3 & avg. rainy days & 7.0 & 7.9 & 5.1 & 2.4 & 1.0 & 0.4 & 0.1 & 0.5 & 1.0 & 0.8 & 2.5 & 4.0 & 32.7 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & jan \\ \midrule 0 & 2.84 (72.1) \\ \bottomrule \end{tabular}

select jan where month = 'precipitation inches (mm)' <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 °f (°c)</td> <td>64 (18)</td> <td>63 (17)</td> <td>63 (17)</td> <td>64 (18)</td> <td>65 (18)</td> <td>67 (19)</td> <td>70 (21)</td> <td>71 (22)</td> <td>71 (22)</td> <td>70 (21)</td> <td>67 (19)</td> <td>64 (18)</td> <td>66.6 (19.2)</td> </tr> <tr> <th>1</th> <td>average low °f (°c)</td> <td>51 (11)</td> <td>52 (11)</td> <td>53 (12)</td> <td>55 (13)</td> <td>57 (14)</td> <td>60 (16)</td> <td>63 (17)</td> <td>63 (17)</td> <td>63 (17)</td> <td>60 (16)</td> <td>55 (13)</td> <td>51 (11)</td> <td>56.9 (14)</td> </tr> <tr> <th>2</th> <td>precipitation inches (mm)</td> <td>2.84 (72.1)</td> <td>3.44 (87.4)</td> <td>1.96 (49.8)</td> <td>0.66 (16.8)</td> <td>0.21 (5.3)</td> <td>0.04 (1)</td> <td>0.01 (0.3)</td> <td>0.04 (1)</td> <td>0.13 (3.3)</td> <td>0.50 (12.7)</td> <td>1.08 (27.4)</td> <td>1.88 (47.8)</td> <td>12.79 (324.9)</td> </tr> <tr> <th>3</th> <td>avg. rainy days</td> <td>7.0</td> <td>7.9</td> <td>5.1</td> <td>2.4</td> <td>1.0</td> <td>0.4</td> <td>0.1</td> <td>0.5</td> <td>1.0</td> <td>0.8</td> <td>2.5</td> <td>4.0</td> <td>32.7</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>jan</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2.84 (72.1)</td> </tr> </tbody> </table>

select jan where month = 'precipitation inches (mm)' <table_name> : table | | month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec | year | |---:|:--------------------------|:------------|:------------|:------------|:------------|:-----------|:---------|:-----------|:---------|:-----------|:------------|:------------|:------------|:--------------| | 0 | average high °f (°c) | 64 (18) | 63 (17) | 63 (17) | 64 (18) | 65 (18) | 67 (19) | 70 (21) | 71 (22) | 71 (22) | 70 (21) | 67 (19) | 64 (18) | 66.6 (19.2) | | 1 | average low °f (°c) | 51 (11) | 52 (11) | 53 (12) | 55 (13) | 57 (14) | 60 (16) | 63 (17) | 63 (17) | 63 (17) | 60 (16) | 55 (13) | 51 (11) | 56.9 (14) | | 2 | precipitation inches (mm) | 2.84 (72.1) | 3.44 (87.4) | 1.96 (49.8) | 0.66 (16.8) | 0.21 (5.3) | 0.04 (1) | 0.01 (0.3) | 0.04 (1) | 0.13 (3.3) | 0.50 (12.7) | 1.08 (27.4) | 1.88 (47.8) | 12.79 (324.9) | | 3 | avg. rainy days | 7.0 | 7.9 | 5.1 | 2.4 | 1.0 | 0.4 | 0.1 | 0.5 | 1.0 | 0.8 | 2.5 | 4.0 | 32.7 |

| | jan | |---:|:------------| | 0 | 2.84 (72.1) |

select film where year = 1989 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 : film row 1 : drole d'endroit pour une rencontre

select film where year = 1989 <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 & film \\ \midrule 0 & drole d'endroit pour une rencontre \\ \bottomrule \end{tabular}

select film where year = 1989 <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>film</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>drole d'endroit pour une rencontre</td> </tr> </tbody> </table>

select film where year = 1989 <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 |

| | film | |---:|:-----------------------------------| | 0 | drole d'endroit pour une rencontre |

select count ( * ) where diet representation representatives > 1558 col : party | diet representation representatives | diet representation councillors | party leader(s) | comments row 1 : your party (yp) minna no to みんなの党 ("everybody's party") | 18.0 | 18.0 | yoshimi watanabe reps | conservative liberalism, neoliberalism, economic liberalism, libertarianism, anti-nuclear row 2 : japanese communist party (jcp) nihon kyosan-to 日本共産党 | 8.0 | 11.0 | kazuo shii reps | the japanese communist party is japan's oldest party. it was formed in 1922 as an underground organization in the empire of japan, but was legalized after world war ii during the occupation. it used to be a communist party, but the party has recently shifted to a socialist party row 3 : people's life party (plp) seikatsu no to 生活の党 | 7.0 | 2.0 | ichiro ozawa reps | life party was founded by ichiro ozawa and 14 other diet members who were in the tomor row 4 : party of japan after a leadership dispute between ozawa and yukiko kada | | | | row 5 : social democratic party (sdp) shakai minshu-to 社会民主党 | 2.0 | 3.0 | mizuho fukushima coun | sdp is a social democratic party. it is a successor of japan socialist party, which had been japan's largest opposition party in the 1955 system row 6 : green wind midori no kaze みとりの風 | 2.0 | 0.0 | kuniko tanioka coun | a house of councillors parliamentary group founded in july 2012, temporarily registered as a party from november to december 2012, opposed to joining tpp, vat increase, nuclear power. may merge with tomor row 7 : party of japan in the near future | | | | row 8 : new party daichi - true democrats shinto daichi - shinminshu 新党大地・真民主 | 1.0 | 0.0 | muneo suzuki | founded in december 2011 by new party daichi and ex-democrats, hokkaido regionalism, opposed to joining tpp row 9 : new renaissance party (nrp) shinto kaikaku 新党改革 ("new reform party") | 0.0 | 1.0 | yoichi masuzoe coun | conservatism, neoliberalism row 10 : okinawa socialist masses party (osmp) okinawa shakai taishuto 沖縄社会大衆党 | 0.0 | 1.0 | keiko itokazu coun | social democracy, okinawa regionalism

col : count ( "*" ) row 1 : 5

select count ( * ) where diet representation representatives > 1558 <table_name> : table \begin{tabular}{llllll} \toprule & party & diet representation representatives & diet representation councillors & party leader(s) & comments \\ \midrule 0 & your party (yp) minna no to みんなの党 ("everybody's party") & 18.0 & 18.0 & yoshimi watanabe reps & conservative liberalism, neoliberalism, economic liberalism, libertarianism, anti-nuclear \\ 1 & japanese communist party (jcp) nihon kyosan-to 日本共産党 & 8.0 & 11.0 & kazuo shii reps & the japanese communist party is japan's oldest party. it was formed in 1922 as an underground organization in the empire of japan, but was legalized after world war ii during the occupation. it used to be a communist party, but the party has recently shifted to a socialist party \\ 2 & people's life party (plp) seikatsu no to 生活の党 & 7.0 & 2.0 & ichiro ozawa reps & life party was founded by ichiro ozawa and 14 other diet members who were in the tomor \\ 3 & party of japan after a leadership dispute between ozawa and yukiko kada & & & & \\ 4 & social democratic party (sdp) shakai minshu-to 社会民主党 & 2.0 & 3.0 & mizuho fukushima coun & sdp is a social democratic party. it is a successor of japan socialist party, which had been japan's largest opposition party in the 1955 system \\ 5 & green wind midori no kaze みとりの風 & 2.0 & 0.0 & kuniko tanioka coun & a house of councillors parliamentary group founded in july 2012, temporarily registered as a party from november to december 2012, opposed to joining tpp, vat increase, nuclear power. may merge with tomor \\ 6 & party of japan in the near future & & & & \\ 7 & new party daichi - true democrats shinto daichi - shinminshu 新党大地・真民主 & 1.0 & 0.0 & muneo suzuki & founded in december 2011 by new party daichi and ex-democrats, hokkaido regionalism, opposed to joining tpp \\ 8 & new renaissance party (nrp) shinto kaikaku 新党改革 ("new reform party") & 0.0 & 1.0 & yoichi masuzoe coun & conservatism, neoliberalism \\ 9 & okinawa socialist masses party (osmp) okinawa shakai taishuto 沖縄社会大衆党 & 0.0 & 1.0 & keiko itokazu coun & social democracy, okinawa regionalism \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 5 \\ \bottomrule \end{tabular}

select count ( * ) where diet representation representatives > 1558 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>party</th> <th>diet representation representatives</th> <th>diet representation councillors</th> <th>party leader(s)</th> <th>comments</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>your party (yp) minna no to みんなの党 ("everybody's party")</td> <td>18.0</td> <td>18.0</td> <td>yoshimi watanabe reps</td> <td>conservative liberalism, neoliberalism, economic liberalism, libertarianism, anti-nuclear</td> </tr> <tr> <th>1</th> <td>japanese communist party (jcp) nihon kyosan-to 日本共産党</td> <td>8.0</td> <td>11.0</td> <td>kazuo shii reps</td> <td>the japanese communist party is japan's oldest party. it was formed in 1922 as an underground organization in the empire of japan, but was legalized after world war ii during the occupation. it used to be a communist party, but the party has recently shifted to a socialist party</td> </tr> <tr> <th>2</th> <td>people's life party (plp) seikatsu no to 生活の党</td> <td>7.0</td> <td>2.0</td> <td>ichiro ozawa reps</td> <td>life party was founded by ichiro ozawa and 14 other diet members who were in the tomor</td> </tr> <tr> <th>3</th> <td>party of japan after a leadership dispute between ozawa and yukiko kada</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <th>4</th> <td>social democratic party (sdp) shakai minshu-to 社会民主党</td> <td>2.0</td> <td>3.0</td> <td>mizuho fukushima coun</td> <td>sdp is a social democratic party. it is a successor of japan socialist party, which had been japan's largest opposition party in the 1955 system</td> </tr> <tr> <th>5</th> <td>green wind midori no kaze みとりの風</td> <td>2.0</td> <td>0.0</td> <td>kuniko tanioka coun</td> <td>a house of councillors parliamentary group founded in july 2012, temporarily registered as a party from november to december 2012, opposed to joining tpp, vat increase, nuclear power. may merge with tomor</td> </tr> <tr> <th>6</th> <td>party of japan in the near future</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <th>7</th> <td>new party daichi - true democrats shinto daichi - shinminshu 新党大地・真民主</td> <td>1.0</td> <td>0.0</td> <td>muneo suzuki</td> <td>founded in december 2011 by new party daichi and ex-democrats, hokkaido regionalism, opposed to joining tpp</td> </tr> <tr> <th>8</th> <td>new renaissance party (nrp) shinto kaikaku 新党改革 ("new reform party")</td> <td>0.0</td> <td>1.0</td> <td>yoichi masuzoe coun</td> <td>conservatism, neoliberalism</td> </tr> <tr> <th>9</th> <td>okinawa socialist masses party (osmp) okinawa shakai taishuto 沖縄社会大衆党</td> <td>0.0</td> <td>1.0</td> <td>keiko itokazu coun</td> <td>social democracy, okinawa regionalism</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>5</td> </tr> </tbody> </table>

select count ( * ) where diet representation representatives > 1558 <table_name> : table | | party | diet representation representatives | diet representation councillors | party leader(s) | comments | |---:|:------------------------------------------------------------------------------|:--------------------------------------|:----------------------------------|:----------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | your party (yp) minna no to みんなの党 ("everybody's party") | 18.0 | 18.0 | yoshimi watanabe reps | conservative liberalism, neoliberalism, economic liberalism, libertarianism, anti-nuclear | | 1 | japanese communist party (jcp) nihon kyosan-to 日本共産党 | 8.0 | 11.0 | kazuo shii reps | the japanese communist party is japan's oldest party. it was formed in 1922 as an underground organization in the empire of japan, but was legalized after world war ii during the occupation. it used to be a communist party, but the party has recently shifted to a socialist party | | 2 | people's life party (plp) seikatsu no to 生活の党 | 7.0 | 2.0 | ichiro ozawa reps | life party was founded by ichiro ozawa and 14 other diet members who were in the tomor | | 3 | party of japan after a leadership dispute between ozawa and yukiko kada | | | | | | 4 | social democratic party (sdp) shakai minshu-to 社会民主党 | 2.0 | 3.0 | mizuho fukushima coun | sdp is a social democratic party. it is a successor of japan socialist party, which had been japan's largest opposition party in the 1955 system | | 5 | green wind midori no kaze みとりの風 | 2.0 | 0.0 | kuniko tanioka coun | a house of councillors parliamentary group founded in july 2012, temporarily registered as a party from november to december 2012, opposed to joining tpp, vat increase, nuclear power. may merge with tomor | | 6 | party of japan in the near future | | | | | | 7 | new party daichi - true democrats shinto daichi - shinminshu 新党大地・真民主 | 1.0 | 0.0 | muneo suzuki | founded in december 2011 by new party daichi and ex-democrats, hokkaido regionalism, opposed to joining tpp | | 8 | new renaissance party (nrp) shinto kaikaku 新党改革 ("new reform party") | 0.0 | 1.0 | yoichi masuzoe coun | conservatism, neoliberalism | | 9 | okinawa socialist masses party (osmp) okinawa shakai taishuto 沖縄社会大衆党 | 0.0 | 1.0 | keiko itokazu coun | social democracy, okinawa regionalism |

| | count ( "*" ) | |---:|----------------:| | 0 | 5 |

select construction year where name = 'trainer 2' col : name | type | elevation (ground station) | elevation (mountain station) | slope length | capacity (persons/hour) | construction year row 1 : fiesch- -alp 1+2 | cable car | 1074 | 2227 | 2940 | 800 | 1973 row 2 : fiesch- -alp 3+4 | cable car | 1071 | 2221 | 2937 | 270 | 1966 row 3 : fiescheralp-eggishorn | cable car | 2225 | 2879 | 1836 | 495 | 1968 row 4 : heimat | chairlift | 1858 | 2301 | 1144 | 1400 | 2000 row 5 : talegga | chairlift | 2208 | 2727 | 1782 | 2200 | 2010 row 6 : flesch | chairlift | 2208 | 2630 | 1357 | 2400 | 1993 row 7 : trainer 1 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 row 8 : trainer 2 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 row 9 : laxeralp 1 | surface lift | 2135 | 2179 | 396 | 1100 | 1981 row 10 : laxeralp 2 | surface lift | 2179 | 2280 | 394 | 1214 | 1981

col : construction year row 1 : 1987

select construction year where name = 'trainer 2' <table_name> : table \begin{tabular}{llllllll} \toprule & name & type & elevation (ground station) & elevation (mountain station) & slope length & capacity (persons/hour) & construction year \\ \midrule 0 & fiesch- -alp 1+2 & cable car & 1074 & 2227 & 2940 & 800 & 1973 \\ 1 & fiesch- -alp 3+4 & cable car & 1071 & 2221 & 2937 & 270 & 1966 \\ 2 & fiescheralp-eggishorn & cable car & 2225 & 2879 & 1836 & 495 & 1968 \\ 3 & heimat & chairlift & 1858 & 2301 & 1144 & 1400 & 2000 \\ 4 & talegga & chairlift & 2208 & 2727 & 1782 & 2200 & 2010 \\ 5 & flesch & chairlift & 2208 & 2630 & 1357 & 2400 & 1993 \\ 6 & trainer 1 & surface lift & 2206 & 2264 & 218 & 1200 & 1987 \\ 7 & trainer 2 & surface lift & 2206 & 2264 & 218 & 1200 & 1987 \\ 8 & laxeralp 1 & surface lift & 2135 & 2179 & 396 & 1100 & 1981 \\ 9 & laxeralp 2 & surface lift & 2179 & 2280 & 394 & 1214 & 1981 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & construction year \\ \midrule 0 & 1987 \\ \bottomrule \end{tabular}

select construction year where name = 'trainer 2' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>name</th> <th>type</th> <th>elevation (ground station)</th> <th>elevation (mountain station)</th> <th>slope length</th> <th>capacity (persons/hour)</th> <th>construction year</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>fiesch- -alp 1+2</td> <td>cable car</td> <td>1074</td> <td>2227</td> <td>2940</td> <td>800</td> <td>1973</td> </tr> <tr> <th>1</th> <td>fiesch- -alp 3+4</td> <td>cable car</td> <td>1071</td> <td>2221</td> <td>2937</td> <td>270</td> <td>1966</td> </tr> <tr> <th>2</th> <td>fiescheralp-eggishorn</td> <td>cable car</td> <td>2225</td> <td>2879</td> <td>1836</td> <td>495</td> <td>1968</td> </tr> <tr> <th>3</th> <td>heimat</td> <td>chairlift</td> <td>1858</td> <td>2301</td> <td>1144</td> <td>1400</td> <td>2000</td> </tr> <tr> <th>4</th> <td>talegga</td> <td>chairlift</td> <td>2208</td> <td>2727</td> <td>1782</td> <td>2200</td> <td>2010</td> </tr> <tr> <th>5</th> <td>flesch</td> <td>chairlift</td> <td>2208</td> <td>2630</td> <td>1357</td> <td>2400</td> <td>1993</td> </tr> <tr> <th>6</th> <td>trainer 1</td> <td>surface lift</td> <td>2206</td> <td>2264</td> <td>218</td> <td>1200</td> <td>1987</td> </tr> <tr> <th>7</th> <td>trainer 2</td> <td>surface lift</td> <td>2206</td> <td>2264</td> <td>218</td> <td>1200</td> <td>1987</td> </tr> <tr> <th>8</th> <td>laxeralp 1</td> <td>surface lift</td> <td>2135</td> <td>2179</td> <td>396</td> <td>1100</td> <td>1981</td> </tr> <tr> <th>9</th> <td>laxeralp 2</td> <td>surface lift</td> <td>2179</td> <td>2280</td> <td>394</td> <td>1214</td> <td>1981</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>construction year</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1987</td> </tr> </tbody> </table>

select construction year where name = 'trainer 2' <table_name> : table | | name | type | elevation (ground station) | elevation (mountain station) | slope length | capacity (persons/hour) | construction year | |---:|:----------------------|:-------------|-----------------------------:|-------------------------------:|---------------:|--------------------------:|--------------------:| | 0 | fiesch- -alp 1+2 | cable car | 1074 | 2227 | 2940 | 800 | 1973 | | 1 | fiesch- -alp 3+4 | cable car | 1071 | 2221 | 2937 | 270 | 1966 | | 2 | fiescheralp-eggishorn | cable car | 2225 | 2879 | 1836 | 495 | 1968 | | 3 | heimat | chairlift | 1858 | 2301 | 1144 | 1400 | 2000 | | 4 | talegga | chairlift | 2208 | 2727 | 1782 | 2200 | 2010 | | 5 | flesch | chairlift | 2208 | 2630 | 1357 | 2400 | 1993 | | 6 | trainer 1 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 | | 7 | trainer 2 | surface lift | 2206 | 2264 | 218 | 1200 | 1987 | | 8 | laxeralp 1 | surface lift | 2135 | 2179 | 396 | 1100 | 1981 | | 9 | laxeralp 2 | surface lift | 2179 | 2280 | 394 | 1214 | 1981 |

| | construction year | |---:|--------------------:| | 0 | 1987 |

select abs ( year - year ) where model = 'a300l' col : year | manufacturer | model | length (feet) | quantity | fleet series | fuel propulsion | powertrain row 1 : 1996 | new flyer | d60 | 60 (articulated) | 30 | 1901-1930 | diesel | detroit diesel series 50 allison b400r row 2 : 1998 | nabi | 416 | 40 | 133 | 3001-3067, 3101-3166 | diesel | cummins m11e allison b400r row 3 : 1999 | nabi | 40-lfw | 40 | 44 | 4001-4044 | diesel | none row 4 : 2000 | nabi | 40-lfw | 40 | 23 | 7201-7223 | diesel | cummins ism allison b400r row 5 : 2000 | mci | d4500 | 45 | 30 | 6001-6030 | diesel | none row 6 : 2001 | mci | d4500 | 45 | 10 | 6031-6040 | diesel | none row 7 : 2003 | mci | d4500 | 45 | 39 | 6041-6079 | diesel | none row 8 : 2003 | nabi | 40-lfw | 40 | 46 | 4051-4090 | diesel | cummins isl allison b400r row 9 : 2003 | van hool | a330 | 40 | 110 | 1001-1110 | diesel | cummins ism voith d864.3e row 10 : 2003 | van hool | ag300 | 60 | 57 | 2001-2057 | diesel | cummins ism voith d864.3e row 11 : 2005 | van hool | a300fc | 40 | 3 | fc1-fc3 | hydrogen | none row 12 : 2006 | van hool | a300k | 30 | 50 | 5001-5050 | diesel | cummins isb voith d864.3e row 13 : 2007 | van hool | ag300 | 60 | 10 | 2101-2110 | diesel | cummins isl voith d864.3e row 14 : 2007 | van hool | ag300 | 60 | 15 | 2151-2165 | diesel | cummins ism voith d864.3e row 15 : 2008 | van hool | a300l | 40 | 27 | 1201-1227 | diesel | cummins isl voith d864.5 row 16 : 2008 | van hool | a300k | 30 | 1 | 5099 | diesel-electric hybrid | none row 17 : 2008 | van hool | a300k | 30 | 39 | 5101-5139 | diesel | cummins isb voith d854.5 row 18 : 2010 | van hool | ag300 | 60 | 9 | 2191-2199 | diesel | cummins isl voith d864.5 row 19 : 2010 | van hool | a300l fc | 40 | 12 | fc4-fc16 | hydrogen | none row 20 : 2013 | gillig | low-floor advantage | 40 | 65 | 1301-1365 | diesel | cummins isl 280 hp allison b400 6-speed row 21 : 2013 | new flyer | xcelsior d60 | 60 | 23 | 2201-2223 | diesel | cummins isl 330 hp allison b400 6-speed row 22 : 2013 | gillig | low-floor advantage | 40 | 55 | 6101-6155 | diesel | cummins isl 280 hp allison b400 6-speed

col : "abs ( year - year )" row 1 : abs ( year - year )

select abs ( year - year ) where model = 'a300l' <table_name> : table \begin{tabular}{lllllllll} \toprule & year & manufacturer & model & length (feet) & quantity & fleet series & fuel propulsion & powertrain \\ \midrule 0 & 1996 & new flyer & d60 & 60 (articulated) & 30 & 1901-1930 & diesel & detroit diesel series 50 allison b400r \\ 1 & 1998 & nabi & 416 & 40 & 133 & 3001-3067, 3101-3166 & diesel & cummins m11e allison b400r \\ 2 & 1999 & nabi & 40-lfw & 40 & 44 & 4001-4044 & diesel & none \\ 3 & 2000 & nabi & 40-lfw & 40 & 23 & 7201-7223 & diesel & cummins ism allison b400r \\ 4 & 2000 & mci & d4500 & 45 & 30 & 6001-6030 & diesel & none \\ 5 & 2001 & mci & d4500 & 45 & 10 & 6031-6040 & diesel & none \\ 6 & 2003 & mci & d4500 & 45 & 39 & 6041-6079 & diesel & none \\ 7 & 2003 & nabi & 40-lfw & 40 & 46 & 4051-4090 & diesel & cummins isl allison b400r \\ 8 & 2003 & van hool & a330 & 40 & 110 & 1001-1110 & diesel & cummins ism voith d864.3e \\ 9 & 2003 & van hool & ag300 & 60 & 57 & 2001-2057 & diesel & cummins ism voith d864.3e \\ 10 & 2005 & van hool & a300fc & 40 & 3 & fc1-fc3 & hydrogen & none \\ 11 & 2006 & van hool & a300k & 30 & 50 & 5001-5050 & diesel & cummins isb voith d864.3e \\ 12 & 2007 & van hool & ag300 & 60 & 10 & 2101-2110 & diesel & cummins isl voith d864.3e \\ 13 & 2007 & van hool & ag300 & 60 & 15 & 2151-2165 & diesel & cummins ism voith d864.3e \\ 14 & 2008 & van hool & a300l & 40 & 27 & 1201-1227 & diesel & cummins isl voith d864.5 \\ 15 & 2008 & van hool & a300k & 30 & 1 & 5099 & diesel-electric hybrid & none \\ 16 & 2008 & van hool & a300k & 30 & 39 & 5101-5139 & diesel & cummins isb voith d854.5 \\ 17 & 2010 & van hool & ag300 & 60 & 9 & 2191-2199 & diesel & cummins isl voith d864.5 \\ 18 & 2010 & van hool & a300l fc & 40 & 12 & fc4-fc16 & hydrogen & none \\ 19 & 2013 & gillig & low-floor advantage & 40 & 65 & 1301-1365 & diesel & cummins isl 280 hp allison b400 6-speed \\ 20 & 2013 & new flyer & xcelsior d60 & 60 & 23 & 2201-2223 & diesel & cummins isl 330 hp allison b400 6-speed \\ 21 & 2013 & gillig & low-floor advantage & 40 & 55 & 6101-6155 & diesel & cummins isl 280 hp allison b400 6-speed \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & "abs ( year - year )" \\ \midrule 0 & abs ( year - year ) \\ \bottomrule \end{tabular}

select abs ( year - year ) where model = 'a300l' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>manufacturer</th> <th>model</th> <th>length (feet)</th> <th>quantity</th> <th>fleet series</th> <th>fuel propulsion</th> <th>powertrain</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1996</td> <td>new flyer</td> <td>d60</td> <td>60 (articulated)</td> <td>30</td> <td>1901-1930</td> <td>diesel</td> <td>detroit diesel series 50 allison b400r</td> </tr> <tr> <th>1</th> <td>1998</td> <td>nabi</td> <td>416</td> <td>40</td> <td>133</td> <td>3001-3067, 3101-3166</td> <td>diesel</td> <td>cummins m11e allison b400r</td> </tr> <tr> <th>2</th> <td>1999</td> <td>nabi</td> <td>40-lfw</td> <td>40</td> <td>44</td> <td>4001-4044</td> <td>diesel</td> <td>none</td> </tr> <tr> <th>3</th> <td>2000</td> <td>nabi</td> <td>40-lfw</td> <td>40</td> <td>23</td> <td>7201-7223</td> <td>diesel</td> <td>cummins ism allison b400r</td> </tr> <tr> <th>4</th> <td>2000</td> <td>mci</td> <td>d4500</td> <td>45</td> <td>30</td> <td>6001-6030</td> <td>diesel</td> <td>none</td> </tr> <tr> <th>5</th> <td>2001</td> <td>mci</td> <td>d4500</td> <td>45</td> <td>10</td> <td>6031-6040</td> <td>diesel</td> <td>none</td> </tr> <tr> <th>6</th> <td>2003</td> <td>mci</td> <td>d4500</td> <td>45</td> <td>39</td> <td>6041-6079</td> <td>diesel</td> <td>none</td> </tr> <tr> <th>7</th> <td>2003</td> <td>nabi</td> <td>40-lfw</td> <td>40</td> <td>46</td> <td>4051-4090</td> <td>diesel</td> <td>cummins isl allison b400r</td> </tr> <tr> <th>8</th> <td>2003</td> <td>van hool</td> <td>a330</td> <td>40</td> <td>110</td> <td>1001-1110</td> <td>diesel</td> <td>cummins ism voith d864.3e</td> </tr> <tr> <th>9</th> <td>2003</td> <td>van hool</td> <td>ag300</td> <td>60</td> <td>57</td> <td>2001-2057</td> <td>diesel</td> <td>cummins ism voith d864.3e</td> </tr> <tr> <th>10</th> <td>2005</td> <td>van hool</td> <td>a300fc</td> <td>40</td> <td>3</td> <td>fc1-fc3</td> <td>hydrogen</td> <td>none</td> </tr> <tr> <th>11</th> <td>2006</td> <td>van hool</td> <td>a300k</td> <td>30</td> <td>50</td> <td>5001-5050</td> <td>diesel</td> <td>cummins isb voith d864.3e</td> </tr> <tr> <th>12</th> <td>2007</td> <td>van hool</td> <td>ag300</td> <td>60</td> <td>10</td> <td>2101-2110</td> <td>diesel</td> <td>cummins isl voith d864.3e</td> </tr> <tr> <th>13</th> <td>2007</td> <td>van hool</td> <td>ag300</td> <td>60</td> <td>15</td> <td>2151-2165</td> <td>diesel</td> <td>cummins ism voith d864.3e</td> </tr> <tr> <th>14</th> <td>2008</td> <td>van hool</td> <td>a300l</td> <td>40</td> <td>27</td> <td>1201-1227</td> <td>diesel</td> <td>cummins isl voith d864.5</td> </tr> <tr> <th>15</th> <td>2008</td> <td>van hool</td> <td>a300k</td> <td>30</td> <td>1</td> <td>5099</td> <td>diesel-electric hybrid</td> <td>none</td> </tr> <tr> <th>16</th> <td>2008</td> <td>van hool</td> <td>a300k</td> <td>30</td> <td>39</td> <td>5101-5139</td> <td>diesel</td> <td>cummins isb voith d854.5</td> </tr> <tr> <th>17</th> <td>2010</td> <td>van hool</td> <td>ag300</td> <td>60</td> <td>9</td> <td>2191-2199</td> <td>diesel</td> <td>cummins isl voith d864.5</td> </tr> <tr> <th>18</th> <td>2010</td> <td>van hool</td> <td>a300l fc</td> <td>40</td> <td>12</td> <td>fc4-fc16</td> <td>hydrogen</td> <td>none</td> </tr> <tr> <th>19</th> <td>2013</td> <td>gillig</td> <td>low-floor advantage</td> <td>40</td> <td>65</td> <td>1301-1365</td> <td>diesel</td> <td>cummins isl 280 hp allison b400 6-speed</td> </tr> <tr> <th>20</th> <td>2013</td> <td>new flyer</td> <td>xcelsior d60</td> <td>60</td> <td>23</td> <td>2201-2223</td> <td>diesel</td> <td>cummins isl 330 hp allison b400 6-speed</td> </tr> <tr> <th>21</th> <td>2013</td> <td>gillig</td> <td>low-floor advantage</td> <td>40</td> <td>55</td> <td>6101-6155</td> <td>diesel</td> <td>cummins isl 280 hp allison b400 6-speed</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>"abs ( year - year )"</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>abs ( year - year )</td> </tr> </tbody> </table>

select abs ( year - year ) where model = 'a300l' <table_name> : table | | year | manufacturer | model | length (feet) | quantity | fleet series | fuel propulsion | powertrain | |---:|-------:|:---------------|:--------------------|:-----------------|-----------:|:---------------------|:-----------------------|:----------------------------------------| | 0 | 1996 | new flyer | d60 | 60 (articulated) | 30 | 1901-1930 | diesel | detroit diesel series 50 allison b400r | | 1 | 1998 | nabi | 416 | 40 | 133 | 3001-3067, 3101-3166 | diesel | cummins m11e allison b400r | | 2 | 1999 | nabi | 40-lfw | 40 | 44 | 4001-4044 | diesel | none | | 3 | 2000 | nabi | 40-lfw | 40 | 23 | 7201-7223 | diesel | cummins ism allison b400r | | 4 | 2000 | mci | d4500 | 45 | 30 | 6001-6030 | diesel | none | | 5 | 2001 | mci | d4500 | 45 | 10 | 6031-6040 | diesel | none | | 6 | 2003 | mci | d4500 | 45 | 39 | 6041-6079 | diesel | none | | 7 | 2003 | nabi | 40-lfw | 40 | 46 | 4051-4090 | diesel | cummins isl allison b400r | | 8 | 2003 | van hool | a330 | 40 | 110 | 1001-1110 | diesel | cummins ism voith d864.3e | | 9 | 2003 | van hool | ag300 | 60 | 57 | 2001-2057 | diesel | cummins ism voith d864.3e | | 10 | 2005 | van hool | a300fc | 40 | 3 | fc1-fc3 | hydrogen | none | | 11 | 2006 | van hool | a300k | 30 | 50 | 5001-5050 | diesel | cummins isb voith d864.3e | | 12 | 2007 | van hool | ag300 | 60 | 10 | 2101-2110 | diesel | cummins isl voith d864.3e | | 13 | 2007 | van hool | ag300 | 60 | 15 | 2151-2165 | diesel | cummins ism voith d864.3e | | 14 | 2008 | van hool | a300l | 40 | 27 | 1201-1227 | diesel | cummins isl voith d864.5 | | 15 | 2008 | van hool | a300k | 30 | 1 | 5099 | diesel-electric hybrid | none | | 16 | 2008 | van hool | a300k | 30 | 39 | 5101-5139 | diesel | cummins isb voith d854.5 | | 17 | 2010 | van hool | ag300 | 60 | 9 | 2191-2199 | diesel | cummins isl voith d864.5 | | 18 | 2010 | van hool | a300l fc | 40 | 12 | fc4-fc16 | hydrogen | none | | 19 | 2013 | gillig | low-floor advantage | 40 | 65 | 1301-1365 | diesel | cummins isl 280 hp allison b400 6-speed | | 20 | 2013 | new flyer | xcelsior d60 | 60 | 23 | 2201-2223 | diesel | cummins isl 330 hp allison b400 6-speed | | 21 | 2013 | gillig | low-floor advantage | 40 | 55 | 6101-6155 | diesel | cummins isl 280 hp allison b400 6-speed |

| | "abs ( year - year )" | |---:|:------------------------| | 0 | abs ( year - year ) |

select count ( prime minister ) where # > 1278 col : # | name (birth-death) | took office | left office | monarch | prime minister row 1 : 1 | the viscount gladstone (1854-1930) | 31 may 1910 | 8 september 1914 | george v | botha row 2 : 2 | the viscount buxton (1853-1934) | 8 september 1914 | 17 november 1920 | george v | botha row 3 : 3 | hrh prince arthur of connaught (1883-1938) | 17 november 1920 | 21 january 1924 | george v | smuts row 4 : 4 | the earl of athlone (1874-1957) | 21 january 1924 | 26 january 1931 | george v | smuts row 5 : 5 | the earl of clarendon (1877-1955) | 26 january 1931 | 5 april 1937 | george v | hertzog row 6 : 6 | sir patrick duncan (1870-1943) | 5 april 1937 | 17 july 1943 | george vi | hertzog row 7 : 6 | nicolaas jacobus de wet (1873-1960) (officer administering the government) | 17 july 1943 | 1 january 1946 | george vi | smuts row 8 : 7 | gideon brand van zyl (1873-1956) | 1 january 1946 | 1 january 1951 | george vi | smuts row 9 : 8 | ernest george jansen (1881-1959) | 1 january 1951 | 25 november 1959 | george vi | malan row 10 : 8 | lucas cornelius steyn (1903-1976) (officer administering the government) | 26 november 1959 | 11 december 1959 | elizabeth ii | verwoerd row 11 : 9 | charles robberts swart (1894-1982) | 11 december 1959 | 30 april 1961 | elizabeth ii | verwoerd row 12 : 9 | lucas cornelius steyn (1903-1976) (officer administering the government) | 30 april 1961 | 31 may 1961 | elizabeth ii | verwoerd

col : count ( "prime minister" ) row 1 : 11

select count ( prime minister ) where # > 1278 <table_name> : table \begin{tabular}{lllllll} \toprule & # & name (birth-death) & took office & left office & monarch & prime minister \\ \midrule 0 & 1 & the viscount gladstone (1854-1930) & 31 may 1910 & 8 september 1914 & george v & botha \\ 1 & 2 & the viscount buxton (1853-1934) & 8 september 1914 & 17 november 1920 & george v & botha \\ 2 & 3 & hrh prince arthur of connaught (1883-1938) & 17 november 1920 & 21 january 1924 & george v & smuts \\ 3 & 4 & the earl of athlone (1874-1957) & 21 january 1924 & 26 january 1931 & george v & smuts \\ 4 & 5 & the earl of clarendon (1877-1955) & 26 january 1931 & 5 april 1937 & george v & hertzog \\ 5 & 6 & sir patrick duncan (1870-1943) & 5 april 1937 & 17 july 1943 & george vi & hertzog \\ 6 & 6 & nicolaas jacobus de wet (1873-1960) (officer administering the government) & 17 july 1943 & 1 january 1946 & george vi & smuts \\ 7 & 7 & gideon brand van zyl (1873-1956) & 1 january 1946 & 1 january 1951 & george vi & smuts \\ 8 & 8 & ernest george jansen (1881-1959) & 1 january 1951 & 25 november 1959 & george vi & malan \\ 9 & 8 & lucas cornelius steyn (1903-1976) (officer administering the government) & 26 november 1959 & 11 december 1959 & elizabeth ii & verwoerd \\ 10 & 9 & charles robberts swart (1894-1982) & 11 december 1959 & 30 april 1961 & elizabeth ii & verwoerd \\ 11 & 9 & lucas cornelius steyn (1903-1976) (officer administering the government) & 30 april 1961 & 31 may 1961 & elizabeth ii & verwoerd \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "prime minister" ) \\ \midrule 0 & 11 \\ \bottomrule \end{tabular}

select count ( prime minister ) where # > 1278 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>#</th> <th>name (birth-death)</th> <th>took office</th> <th>left office</th> <th>monarch</th> <th>prime minister</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>the viscount gladstone (1854-1930)</td> <td>31 may 1910</td> <td>8 september 1914</td> <td>george v</td> <td>botha</td> </tr> <tr> <th>1</th> <td>2</td> <td>the viscount buxton (1853-1934)</td> <td>8 september 1914</td> <td>17 november 1920</td> <td>george v</td> <td>botha</td> </tr> <tr> <th>2</th> <td>3</td> <td>hrh prince arthur of connaught (1883-1938)</td> <td>17 november 1920</td> <td>21 january 1924</td> <td>george v</td> <td>smuts</td> </tr> <tr> <th>3</th> <td>4</td> <td>the earl of athlone (1874-1957)</td> <td>21 january 1924</td> <td>26 january 1931</td> <td>george v</td> <td>smuts</td> </tr> <tr> <th>4</th> <td>5</td> <td>the earl of clarendon (1877-1955)</td> <td>26 january 1931</td> <td>5 april 1937</td> <td>george v</td> <td>hertzog</td> </tr> <tr> <th>5</th> <td>6</td> <td>sir patrick duncan (1870-1943)</td> <td>5 april 1937</td> <td>17 july 1943</td> <td>george vi</td> <td>hertzog</td> </tr> <tr> <th>6</th> <td>6</td> <td>nicolaas jacobus de wet (1873-1960) (officer administering the government)</td> <td>17 july 1943</td> <td>1 january 1946</td> <td>george vi</td> <td>smuts</td> </tr> <tr> <th>7</th> <td>7</td> <td>gideon brand van zyl (1873-1956)</td> <td>1 january 1946</td> <td>1 january 1951</td> <td>george vi</td> <td>smuts</td> </tr> <tr> <th>8</th> <td>8</td> <td>ernest george jansen (1881-1959)</td> <td>1 january 1951</td> <td>25 november 1959</td> <td>george vi</td> <td>malan</td> </tr> <tr> <th>9</th> <td>8</td> <td>lucas cornelius steyn (1903-1976) (officer administering the government)</td> <td>26 november 1959</td> <td>11 december 1959</td> <td>elizabeth ii</td> <td>verwoerd</td> </tr> <tr> <th>10</th> <td>9</td> <td>charles robberts swart (1894-1982)</td> <td>11 december 1959</td> <td>30 april 1961</td> <td>elizabeth ii</td> <td>verwoerd</td> </tr> <tr> <th>11</th> <td>9</td> <td>lucas cornelius steyn (1903-1976) (officer administering the government)</td> <td>30 april 1961</td> <td>31 may 1961</td> <td>elizabeth ii</td> <td>verwoerd</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "prime minister" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>11</td> </tr> </tbody> </table>

select count ( prime minister ) where # > 1278 <table_name> : table | | # | name (birth-death) | took office | left office | monarch | prime minister | |---:|----:|:---------------------------------------------------------------------------|:-----------------|:-----------------|:-------------|:-----------------| | 0 | 1 | the viscount gladstone (1854-1930) | 31 may 1910 | 8 september 1914 | george v | botha | | 1 | 2 | the viscount buxton (1853-1934) | 8 september 1914 | 17 november 1920 | george v | botha | | 2 | 3 | hrh prince arthur of connaught (1883-1938) | 17 november 1920 | 21 january 1924 | george v | smuts | | 3 | 4 | the earl of athlone (1874-1957) | 21 january 1924 | 26 january 1931 | george v | smuts | | 4 | 5 | the earl of clarendon (1877-1955) | 26 january 1931 | 5 april 1937 | george v | hertzog | | 5 | 6 | sir patrick duncan (1870-1943) | 5 april 1937 | 17 july 1943 | george vi | hertzog | | 6 | 6 | nicolaas jacobus de wet (1873-1960) (officer administering the government) | 17 july 1943 | 1 january 1946 | george vi | smuts | | 7 | 7 | gideon brand van zyl (1873-1956) | 1 january 1946 | 1 january 1951 | george vi | smuts | | 8 | 8 | ernest george jansen (1881-1959) | 1 january 1951 | 25 november 1959 | george vi | malan | | 9 | 8 | lucas cornelius steyn (1903-1976) (officer administering the government) | 26 november 1959 | 11 december 1959 | elizabeth ii | verwoerd | | 10 | 9 | charles robberts swart (1894-1982) | 11 december 1959 | 30 april 1961 | elizabeth ii | verwoerd | | 11 | 9 | lucas cornelius steyn (1903-1976) (officer administering the government) | 30 april 1961 | 31 may 1961 | elizabeth ii | verwoerd |

| | count ( "prime minister" ) | |---:|-----------------------------:| | 0 | 11 |

select make/model where year = 2013 col : make/model | series | model | year | notes row 1 : new flyer | 101-135 | d40lfr | 2010 | none row 2 : new flyer | 140-169 | d40lfr | 2011 | 140-143 145-153 155-169 wrap for rt 144 and 154 lost there rt wraps row 3 : new flyer | 201-230 | d40lf | 2004 | 204 retired due to fire row 4 : new flyer | 231-260 | d40lf | 2005 | none row 5 : new flyer | 270-281 | d40lf | 2007 | none row 6 : mci | 301-334 | classic | 1988 | all retired row 7 : new flyer | 340-366 | d40 | 1992 | 365 remains, used only during rush hour row 8 : new flyer | 370-399 | d40 | 1994 | 370 371 372 373 374 379 380 390 395? 397 398 399 retired, used only during rush hour row 9 : new flyer | 401-443 | d40lf | 1998 | all have been rebuilt row 10 : new flyer | 444-504 | d40lf | 1999 | all have been rebuilt row 11 : new flyer | 510-561 | d40lf | 2002 | being rebuilt 510 513 515 516 517 519 520 521 522 529 532 534 536 537 539 540 545 row 12 : new flyer | 570-599 | d40lf | 2003 | none row 13 : new flyer | 601-640 | d40lfr | 2011 | 601 603 605 wrap for rt row 14 : new flyer | 671-699 | d40 | 1994 | 684 retired, used only during rush hour row 15 : new flyer | 701-733 | d40lfr | 2008 | none row 16 : new flyer | 735-799 | d40lfr | 2009 | none row 17 : new flyer | 800-829 | d40lfr | 2013 | 800-830 now inservice 822 had a fire row 18 : new flyer | 901-910 | invero/d40i | 2004 | ex701-710 only used for rush hour row 19 : new flyer | 911-925 | d30lf | 1996 | all rebuild row 20 : new flyer | 930-949 | d30lf | 2001 | 931 rebuild row 21 : new flyer | 971-990 | d60lf | 2003 | ex octranspo most units are between ex 6302-6338 971 973 976 977 979 are now in service row 22 : new flyer | 991-993 | d40lf | 1994 | all rebuilt, used only during rush hour

col : make/model row 1 : new flyer

select make/model where year = 2013 <table_name> : table \begin{tabular}{llllll} \toprule & make/model & series & model & year & notes \\ \midrule 0 & new flyer & 101-135 & d40lfr & 2010 & none \\ 1 & new flyer & 140-169 & d40lfr & 2011 & 140-143 145-153 155-169 wrap for rt 144 and 154 lost there rt wraps \\ 2 & new flyer & 201-230 & d40lf & 2004 & 204 retired due to fire \\ 3 & new flyer & 231-260 & d40lf & 2005 & none \\ 4 & new flyer & 270-281 & d40lf & 2007 & none \\ 5 & mci & 301-334 & classic & 1988 & all retired \\ 6 & new flyer & 340-366 & d40 & 1992 & 365 remains, used only during rush hour \\ 7 & new flyer & 370-399 & d40 & 1994 & 370 371 372 373 374 379 380 390 395? 397 398 399 retired, used only during rush hour \\ 8 & new flyer & 401-443 & d40lf & 1998 & all have been rebuilt \\ 9 & new flyer & 444-504 & d40lf & 1999 & all have been rebuilt \\ 10 & new flyer & 510-561 & d40lf & 2002 & being rebuilt 510 513 515 516 517 519 520 521 522 529 532 534 536 537 539 540 545 \\ 11 & new flyer & 570-599 & d40lf & 2003 & none \\ 12 & new flyer & 601-640 & d40lfr & 2011 & 601 603 605 wrap for rt \\ 13 & new flyer & 671-699 & d40 & 1994 & 684 retired, used only during rush hour \\ 14 & new flyer & 701-733 & d40lfr & 2008 & none \\ 15 & new flyer & 735-799 & d40lfr & 2009 & none \\ 16 & new flyer & 800-829 & d40lfr & 2013 & 800-830 now inservice 822 had a fire \\ 17 & new flyer & 901-910 & invero/d40i & 2004 & ex701-710 only used for rush hour \\ 18 & new flyer & 911-925 & d30lf & 1996 & all rebuild \\ 19 & new flyer & 930-949 & d30lf & 2001 & 931 rebuild \\ 20 & new flyer & 971-990 & d60lf & 2003 & ex octranspo most units are between ex 6302-6338 971 973 976 977 979 are now in service \\ 21 & new flyer & 991-993 & d40lf & 1994 & all rebuilt, used only during rush hour \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & make/model \\ \midrule 0 & new flyer \\ \bottomrule \end{tabular}

select make/model where year = 2013 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>make/model</th> <th>series</th> <th>model</th> <th>year</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>new flyer</td> <td>101-135</td> <td>d40lfr</td> <td>2010</td> <td>none</td> </tr> <tr> <th>1</th> <td>new flyer</td> <td>140-169</td> <td>d40lfr</td> <td>2011</td> <td>140-143 145-153 155-169 wrap for rt 144 and 154 lost there rt wraps</td> </tr> <tr> <th>2</th> <td>new flyer</td> <td>201-230</td> <td>d40lf</td> <td>2004</td> <td>204 retired due to fire</td> </tr> <tr> <th>3</th> <td>new flyer</td> <td>231-260</td> <td>d40lf</td> <td>2005</td> <td>none</td> </tr> <tr> <th>4</th> <td>new flyer</td> <td>270-281</td> <td>d40lf</td> <td>2007</td> <td>none</td> </tr> <tr> <th>5</th> <td>mci</td> <td>301-334</td> <td>classic</td> <td>1988</td> <td>all retired</td> </tr> <tr> <th>6</th> <td>new flyer</td> <td>340-366</td> <td>d40</td> <td>1992</td> <td>365 remains, used only during rush hour</td> </tr> <tr> <th>7</th> <td>new flyer</td> <td>370-399</td> <td>d40</td> <td>1994</td> <td>370 371 372 373 374 379 380 390 395? 397 398 399 retired, used only during rush hour</td> </tr> <tr> <th>8</th> <td>new flyer</td> <td>401-443</td> <td>d40lf</td> <td>1998</td> <td>all have been rebuilt</td> </tr> <tr> <th>9</th> <td>new flyer</td> <td>444-504</td> <td>d40lf</td> <td>1999</td> <td>all have been rebuilt</td> </tr> <tr> <th>10</th> <td>new flyer</td> <td>510-561</td> <td>d40lf</td> <td>2002</td> <td>being rebuilt 510 513 515 516 517 519 520 521 522 529 532 534 536 537 539 540 545</td> </tr> <tr> <th>11</th> <td>new flyer</td> <td>570-599</td> <td>d40lf</td> <td>2003</td> <td>none</td> </tr> <tr> <th>12</th> <td>new flyer</td> <td>601-640</td> <td>d40lfr</td> <td>2011</td> <td>601 603 605 wrap for rt</td> </tr> <tr> <th>13</th> <td>new flyer</td> <td>671-699</td> <td>d40</td> <td>1994</td> <td>684 retired, used only during rush hour</td> </tr> <tr> <th>14</th> <td>new flyer</td> <td>701-733</td> <td>d40lfr</td> <td>2008</td> <td>none</td> </tr> <tr> <th>15</th> <td>new flyer</td> <td>735-799</td> <td>d40lfr</td> <td>2009</td> <td>none</td> </tr> <tr> <th>16</th> <td>new flyer</td> <td>800-829</td> <td>d40lfr</td> <td>2013</td> <td>800-830 now inservice 822 had a fire</td> </tr> <tr> <th>17</th> <td>new flyer</td> <td>901-910</td> <td>invero/d40i</td> <td>2004</td> <td>ex701-710 only used for rush hour</td> </tr> <tr> <th>18</th> <td>new flyer</td> <td>911-925</td> <td>d30lf</td> <td>1996</td> <td>all rebuild</td> </tr> <tr> <th>19</th> <td>new flyer</td> <td>930-949</td> <td>d30lf</td> <td>2001</td> <td>931 rebuild</td> </tr> <tr> <th>20</th> <td>new flyer</td> <td>971-990</td> <td>d60lf</td> <td>2003</td> <td>ex octranspo most units are between ex 6302-6338 971 973 976 977 979 are now in service</td> </tr> <tr> <th>21</th> <td>new flyer</td> <td>991-993</td> <td>d40lf</td> <td>1994</td> <td>all rebuilt, used only during rush hour</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>make/model</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>new flyer</td> </tr> </tbody> </table>

select make/model where year = 2013 <table_name> : table | | make/model | series | model | year | notes | |---:|:-------------|:---------|:------------|-------:|:----------------------------------------------------------------------------------------| | 0 | new flyer | 101-135 | d40lfr | 2010 | none | | 1 | new flyer | 140-169 | d40lfr | 2011 | 140-143 145-153 155-169 wrap for rt 144 and 154 lost there rt wraps | | 2 | new flyer | 201-230 | d40lf | 2004 | 204 retired due to fire | | 3 | new flyer | 231-260 | d40lf | 2005 | none | | 4 | new flyer | 270-281 | d40lf | 2007 | none | | 5 | mci | 301-334 | classic | 1988 | all retired | | 6 | new flyer | 340-366 | d40 | 1992 | 365 remains, used only during rush hour | | 7 | new flyer | 370-399 | d40 | 1994 | 370 371 372 373 374 379 380 390 395? 397 398 399 retired, used only during rush hour | | 8 | new flyer | 401-443 | d40lf | 1998 | all have been rebuilt | | 9 | new flyer | 444-504 | d40lf | 1999 | all have been rebuilt | | 10 | new flyer | 510-561 | d40lf | 2002 | being rebuilt 510 513 515 516 517 519 520 521 522 529 532 534 536 537 539 540 545 | | 11 | new flyer | 570-599 | d40lf | 2003 | none | | 12 | new flyer | 601-640 | d40lfr | 2011 | 601 603 605 wrap for rt | | 13 | new flyer | 671-699 | d40 | 1994 | 684 retired, used only during rush hour | | 14 | new flyer | 701-733 | d40lfr | 2008 | none | | 15 | new flyer | 735-799 | d40lfr | 2009 | none | | 16 | new flyer | 800-829 | d40lfr | 2013 | 800-830 now inservice 822 had a fire | | 17 | new flyer | 901-910 | invero/d40i | 2004 | ex701-710 only used for rush hour | | 18 | new flyer | 911-925 | d30lf | 1996 | all rebuild | | 19 | new flyer | 930-949 | d30lf | 2001 | 931 rebuild | | 20 | new flyer | 971-990 | d60lf | 2003 | ex octranspo most units are between ex 6302-6338 971 973 976 977 979 are now in service | | 21 | new flyer | 991-993 | d40lf | 1994 | all rebuilt, used only during rush hour |

| | make/model | |---:|:-------------| | 0 | new flyer |

select count ( nation ) where total = 1 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 : count ( "nation" ) row 1 : 1

select count ( nation ) where total = 1 <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 & count ( "nation" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( nation ) where 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>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>count ( "nation" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( nation ) where total = 1 <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 |

| | count ( "nation" ) | |---:|---------------------:| | 0 | 1 |

select manufacturer where note = 'metre gauge version of british rail class 158, with different gangways and couplers, and with inward-opening slam doors instead of plug doors. 3-car set until 2011, when all were refurbished with new seats, vinyl floors, an extra coach and new livery' col : type | manufacturer | numbers | year built | quantity built | power (horsepower) | max speed (km/h) | note row 1 : rhn | hitachi | 1011-1048 (power cars) 11-48 (trailer cars) | 1967.0 | 38+38 | 220.0 | 90.0 | now use as a northeastern line commuter train row 2 : rts | tokyu | d9-d16 (power cars) ts4-ts7 (center/trailer cars) | 1971.0 | 8+4 | 220.0 | 70.0 | ex-mahachai railways, to be refurbished. similar bodyshell of thn and nkf but with different formation (power car-2 trailer cars) row 3 : thn | tokyu, hitachi and nippon sharyo | 1101-1140 | 1983.0 | 40 | 235.0 | 105.0 | similar to nkf row 4 : nkf | nippon sharyo, hitachi, fuji heavy industries,kawasaki heavy industries, niigata tekkousho, and kinki sharyo | 1201-1264, (center) 2101-2112 | 1985.0 | 64+12 | 235.0 | 105.0 | similar to thn, but with plastic chairs row 5 : asr (class 158 express sprinter) | brel, derby works | 2501-2512, (center) 2113-2120 | 1991.0 | 12+8 | 285.0 | 120.0 | metre gauge version of british rail class 158, with different gangways and couplers, and with inward-opening slam doors instead of plug doors. 3-car set until 2011, when all were refurbished with new seats, vinyl floors, an extra coach and new livery row 6 : apd .20 | daewoo heavy industries | 2513-2524 (center) 2121-2128 | 1995.0 | 10+8 | 298.0 | 120.0 | first batch, nar row 7 : body | | | | | | | row 8 : apd .60 | daewoo heavy industries | 2525-2544 | 1996.0 | 20+40 | 298.0 | 120.0 | second batch, wide body

col : manufacturer row 1 : brel, derby works

select manufacturer where note = 'metre gauge version of british rail class 158, with different gangways and couplers, and with inward-opening slam doors instead of plug doors. 3-car set until 2011, when all were refurbished with new seats, vinyl floors, an extra coach and new livery' <table_name> : table \begin{tabular}{lllllllll} \toprule & type & manufacturer & numbers & year built & quantity built & power (horsepower) & max speed (km/h) & note \\ \midrule 0 & rhn & hitachi & 1011-1048 (power cars) 11-48 (trailer cars) & 1967.0 & 38+38 & 220.0 & 90.0 & now use as a northeastern line commuter train \\ 1 & rts & tokyu & d9-d16 (power cars) ts4-ts7 (center/trailer cars) & 1971.0 & 8+4 & 220.0 & 70.0 & ex-mahachai railways, to be refurbished. similar bodyshell of thn and nkf but with different formation (power car-2 trailer cars) \\ 2 & thn & tokyu, hitachi and nippon sharyo & 1101-1140 & 1983.0 & 40 & 235.0 & 105.0 & similar to nkf \\ 3 & nkf & nippon sharyo, hitachi, fuji heavy industries,kawasaki heavy industries, niigata tekkousho, and kinki sharyo & 1201-1264, (center) 2101-2112 & 1985.0 & 64+12 & 235.0 & 105.0 & similar to thn, but with plastic chairs \\ 4 & asr (class 158 express sprinter) & brel, derby works & 2501-2512, (center) 2113-2120 & 1991.0 & 12+8 & 285.0 & 120.0 & metre gauge version of british rail class 158, with different gangways and couplers, and with inward-opening slam doors instead of plug doors. 3-car set until 2011, when all were refurbished with new seats, vinyl floors, an extra coach and new livery \\ 5 & apd .20 & daewoo heavy industries & 2513-2524 (center) 2121-2128 & 1995.0 & 10+8 & 298.0 & 120.0 & first batch, nar \\ 6 & body & & & & & & & \\ 7 & apd .60 & daewoo heavy industries & 2525-2544 & 1996.0 & 20+40 & 298.0 & 120.0 & second batch, wide body \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & manufacturer \\ \midrule 0 & brel, derby works \\ \bottomrule \end{tabular}

select manufacturer where note = 'metre gauge version of british rail class 158, with different gangways and couplers, and with inward-opening slam doors instead of plug doors. 3-car set until 2011, when all were refurbished with new seats, vinyl floors, an extra coach and new livery' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>type</th> <th>manufacturer</th> <th>numbers</th> <th>year built</th> <th>quantity built</th> <th>power (horsepower)</th> <th>max speed (km/h)</th> <th>note</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>rhn</td> <td>hitachi</td> <td>1011-1048 (power cars) 11-48 (trailer cars)</td> <td>1967.0</td> <td>38+38</td> <td>220.0</td> <td>90.0</td> <td>now use as a northeastern line commuter train</td> </tr> <tr> <th>1</th> <td>rts</td> <td>tokyu</td> <td>d9-d16 (power cars) ts4-ts7 (center/trailer cars)</td> <td>1971.0</td> <td>8+4</td> <td>220.0</td> <td>70.0</td> <td>ex-mahachai railways, to be refurbished. similar bodyshell of thn and nkf but with different formation (power car-2 trailer cars)</td> </tr> <tr> <th>2</th> <td>thn</td> <td>tokyu, hitachi and nippon sharyo</td> <td>1101-1140</td> <td>1983.0</td> <td>40</td> <td>235.0</td> <td>105.0</td> <td>similar to nkf</td> </tr> <tr> <th>3</th> <td>nkf</td> <td>nippon sharyo, hitachi, fuji heavy industries,kawasaki heavy industries, niigata tekkousho, and kinki sharyo</td> <td>1201-1264, (center) 2101-2112</td> <td>1985.0</td> <td>64+12</td> <td>235.0</td> <td>105.0</td> <td>similar to thn, but with plastic chairs</td> </tr> <tr> <th>4</th> <td>asr (class 158 express sprinter)</td> <td>brel, derby works</td> <td>2501-2512, (center) 2113-2120</td> <td>1991.0</td> <td>12+8</td> <td>285.0</td> <td>120.0</td> <td>metre gauge version of british rail class 158, with different gangways and couplers, and with inward-opening slam doors instead of plug doors. 3-car set until 2011, when all were refurbished with new seats, vinyl floors, an extra coach and new livery</td> </tr> <tr> <th>5</th> <td>apd .20</td> <td>daewoo heavy industries</td> <td>2513-2524 (center) 2121-2128</td> <td>1995.0</td> <td>10+8</td> <td>298.0</td> <td>120.0</td> <td>first batch, nar</td> </tr> <tr> <th>6</th> <td>body</td> <td></td> <td></td> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <th>7</th> <td>apd .60</td> <td>daewoo heavy industries</td> <td>2525-2544</td> <td>1996.0</td> <td>20+40</td> <td>298.0</td> <td>120.0</td> <td>second batch, wide body</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>manufacturer</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>brel, derby works</td> </tr> </tbody> </table>

select manufacturer where note = 'metre gauge version of british rail class 158, with different gangways and couplers, and with inward-opening slam doors instead of plug doors. 3-car set until 2011, when all were refurbished with new seats, vinyl floors, an extra coach and new livery' <table_name> : table | | type | manufacturer | numbers | year built | quantity built | power (horsepower) | max speed (km/h) | note | |---:|:---------------------------------|:-------------------------------------------------------------------------------------------------------------|:--------------------------------------------------|:-------------|:-----------------|:---------------------|:-------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | rhn | hitachi | 1011-1048 (power cars) 11-48 (trailer cars) | 1967.0 | 38+38 | 220.0 | 90.0 | now use as a northeastern line commuter train | | 1 | rts | tokyu | d9-d16 (power cars) ts4-ts7 (center/trailer cars) | 1971.0 | 8+4 | 220.0 | 70.0 | ex-mahachai railways, to be refurbished. similar bodyshell of thn and nkf but with different formation (power car-2 trailer cars) | | 2 | thn | tokyu, hitachi and nippon sharyo | 1101-1140 | 1983.0 | 40 | 235.0 | 105.0 | similar to nkf | | 3 | nkf | nippon sharyo, hitachi, fuji heavy industries,kawasaki heavy industries, niigata tekkousho, and kinki sharyo | 1201-1264, (center) 2101-2112 | 1985.0 | 64+12 | 235.0 | 105.0 | similar to thn, but with plastic chairs | | 4 | asr (class 158 express sprinter) | brel, derby works | 2501-2512, (center) 2113-2120 | 1991.0 | 12+8 | 285.0 | 120.0 | metre gauge version of british rail class 158, with different gangways and couplers, and with inward-opening slam doors instead of plug doors. 3-car set until 2011, when all were refurbished with new seats, vinyl floors, an extra coach and new livery | | 5 | apd .20 | daewoo heavy industries | 2513-2524 (center) 2121-2128 | 1995.0 | 10+8 | 298.0 | 120.0 | first batch, nar | | 6 | body | | | | | | | | | 7 | apd .60 | daewoo heavy industries | 2525-2544 | 1996.0 | 20+40 | 298.0 | 120.0 | second batch, wide body |

| | manufacturer | |---:|:------------------| | 0 | brel, derby works |

select author where number = 1 col : number | author | first line | notes row 1 : 1 | william shakespeare | "when my love swears that she is made of truth" | first publication, later appears as sonnet 138 in shakespeare's sonnets row 2 : 2 | william shakespeare | "two loves i have, of comfort and despair" | first publication, later appears as sonnet 144 in shakespeare's sonnets row 3 : 3 | william shakespeare | "did not the heavenly rhetoric of thine eye" | a version of longaville's sonnet to maria in love's labour's lost 4.3.58-71 row 4 : 4 | none | "sweet cytherea, sitting by a brook" | on the theme of venus and adonis, as is shakespeare's narrative poem row 5 : 5 | william shakespeare | "if love make me forsworn, how shall i swear to love?" | a version of berowne's sonnet to rosalind in love's labour's lost 4.2.105-18 row 6 : 6 | none | "scarce had the sun dried up the dewy morn" | on the theme of venus and adonis, as is shakespeare's narrative poem row 7 : 7 | none | "fair is my love, but not so fair as fickle" | in the same six-line stanza format as venus and adonis row 8 : 8 | richard barnfield | "if music and sweet poetry agree" | first published in poems in diverse humours (1598) row 9 : 9 | none | "fair was the morn when the fair queen of love" | on the theme of venus and adonis, as is shakespeare's narrative poem row 10 : 10 | none | "sweet rose, fair flower, untimely pluck'd, soon vaded" | in the same six-line stanza format as venus and adonis row 11 : 11 | bartholomew griffin | "venus, with young adonis sitting by her" | printed in fidessa (1596). on the theme of venus and adonis, as is shakespeare's narrative poem row 12 : 12 | thomas deloney? | "crabbed age and youth cannot live together" | was reprinted with additional stanzas in thomas deloney's the garden of good will entered into the stationer's register in march 1593. deloney died in 1600; he might be the author of 12, though collections of his verse issued after his death contain poems by other authors. critic hallett smith has identified poem 12 as the one most often favoured by readers as possibly shakespearean - "but there is nothing to support the attribution." row 13 : 13 | none | "beauty is but a vain and doubtful good" | in the same six-line stanza format as venus and adonis row 14 : 14 | none | "good-night, good rest, ah, neither be my share" | in the same six-line stanza format as venus and adonis. originally published as two poems; some scholars, therefore, consider them as 14 and 15, adding 1 to all subsequent poem numbers row 15 : 15 | none | "it was a lording's daughter, the fairest one of three" | none row 16 : 16 | william shakespeare | "on a day (alack the day)" | dumaine's poem to catherine in love's labour's lost 4.3.99-118. reprinted in england's helicon (1600) row 17 : 17 | none | "my flockes feed not, my ewes breed not" | first printed in thomas weelkes' madrigals to 3, 4, 5 and 6 voices (1597) row 18 : 18 | none | "when as thine eye hath chose the dame" | three versions of the poem exist in manuscript miscellanies row 19 : 19 | christopher marlowe & sir walter raleigh | "live with me and be my love" | an inferior text of marlowe's poem "the passionate shepherd to his love" followed by the first stanza of sir walter raleigh's "the nymph's reply to the shepherd" row 20 : 20 | richard barnfield | "as it fell upon a day" | first published in poems in divers humors (1598)

col : author row 1 : william shakespeare

select author where number = 1 <table_name> : table \begin{tabular}{lllll} \toprule & number & author & first line & notes \\ \midrule 0 & 1 & william shakespeare & "when my love swears that she is made of truth" & first publication, later appears as sonnet 138 in shakespeare's sonnets \\ 1 & 2 & william shakespeare & "two loves i have, of comfort and despair" & first publication, later appears as sonnet 144 in shakespeare's sonnets \\ 2 & 3 & william shakespeare & "did not the heavenly rhetoric of thine eye" & a version of longaville's sonnet to maria in love's labour's lost 4.3.58-71 \\ 3 & 4 & none & "sweet cytherea, sitting by a brook" & on the theme of venus and adonis, as is shakespeare's narrative poem \\ 4 & 5 & william shakespeare & "if love make me forsworn, how shall i swear to love?" & a version of berowne's sonnet to rosalind in love's labour's lost 4.2.105-18 \\ 5 & 6 & none & "scarce had the sun dried up the dewy morn" & on the theme of venus and adonis, as is shakespeare's narrative poem \\ 6 & 7 & none & "fair is my love, but not so fair as fickle" & in the same six-line stanza format as venus and adonis \\ 7 & 8 & richard barnfield & "if music and sweet poetry agree" & first published in poems in diverse humours (1598) \\ 8 & 9 & none & "fair was the morn when the fair queen of love" & on the theme of venus and adonis, as is shakespeare's narrative poem \\ 9 & 10 & none & "sweet rose, fair flower, untimely pluck'd, soon vaded" & in the same six-line stanza format as venus and adonis \\ 10 & 11 & bartholomew griffin & "venus, with young adonis sitting by her" & printed in fidessa (1596). on the theme of venus and adonis, as is shakespeare's narrative poem \\ 11 & 12 & thomas deloney? & "crabbed age and youth cannot live together" & was reprinted with additional stanzas in thomas deloney's the garden of good will entered into the stationer's register in march 1593. deloney died in 1600; he might be the author of 12, though collections of his verse issued after his death contain poems by other authors. critic hallett smith has identified poem 12 as the one most often favoured by readers as possibly shakespearean - "but there is nothing to support the attribution." \\ 12 & 13 & none & "beauty is but a vain and doubtful good" & in the same six-line stanza format as venus and adonis \\ 13 & 14 & none & "good-night, good rest, ah, neither be my share" & in the same six-line stanza format as venus and adonis. originally published as two poems; some scholars, therefore, consider them as 14 and 15, adding 1 to all subsequent poem numbers \\ 14 & 15 & none & "it was a lording's daughter, the fairest one of three" & none \\ 15 & 16 & william shakespeare & "on a day (alack the day)" & dumaine's poem to catherine in love's labour's lost 4.3.99-118. reprinted in england's helicon (1600) \\ 16 & 17 & none & "my flockes feed not, my ewes breed not" & first printed in thomas weelkes' madrigals to 3, 4, 5 and 6 voices (1597) \\ 17 & 18 & none & "when as thine eye hath chose the dame" & three versions of the poem exist in manuscript miscellanies \\ 18 & 19 & christopher marlowe & sir walter raleigh & "live with me and be my love" & an inferior text of marlowe's poem "the passionate shepherd to his love" followed by the first stanza of sir walter raleigh's "the nymph's reply to the shepherd" \\ 19 & 20 & richard barnfield & "as it fell upon a day" & first published in poems in divers humors (1598) \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & author \\ \midrule 0 & william shakespeare \\ \bottomrule \end{tabular}

select author where number = 1 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>number</th> <th>author</th> <th>first line</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>william shakespeare</td> <td>"when my love swears that she is made of truth"</td> <td>first publication, later appears as sonnet 138 in shakespeare's sonnets</td> </tr> <tr> <th>1</th> <td>2</td> <td>william shakespeare</td> <td>"two loves i have, of comfort and despair"</td> <td>first publication, later appears as sonnet 144 in shakespeare's sonnets</td> </tr> <tr> <th>2</th> <td>3</td> <td>william shakespeare</td> <td>"did not the heavenly rhetoric of thine eye"</td> <td>a version of longaville's sonnet to maria in love's labour's lost 4.3.58-71</td> </tr> <tr> <th>3</th> <td>4</td> <td>none</td> <td>"sweet cytherea, sitting by a brook"</td> <td>on the theme of venus and adonis, as is shakespeare's narrative poem</td> </tr> <tr> <th>4</th> <td>5</td> <td>william shakespeare</td> <td>"if love make me forsworn, how shall i swear to love?"</td> <td>a version of berowne's sonnet to rosalind in love's labour's lost 4.2.105-18</td> </tr> <tr> <th>5</th> <td>6</td> <td>none</td> <td>"scarce had the sun dried up the dewy morn"</td> <td>on the theme of venus and adonis, as is shakespeare's narrative poem</td> </tr> <tr> <th>6</th> <td>7</td> <td>none</td> <td>"fair is my love, but not so fair as fickle"</td> <td>in the same six-line stanza format as venus and adonis</td> </tr> <tr> <th>7</th> <td>8</td> <td>richard barnfield</td> <td>"if music and sweet poetry agree"</td> <td>first published in poems in diverse humours (1598)</td> </tr> <tr> <th>8</th> <td>9</td> <td>none</td> <td>"fair was the morn when the fair queen of love"</td> <td>on the theme of venus and adonis, as is shakespeare's narrative poem</td> </tr> <tr> <th>9</th> <td>10</td> <td>none</td> <td>"sweet rose, fair flower, untimely pluck'd, soon vaded"</td> <td>in the same six-line stanza format as venus and adonis</td> </tr> <tr> <th>10</th> <td>11</td> <td>bartholomew griffin</td> <td>"venus, with young adonis sitting by her"</td> <td>printed in fidessa (1596). on the theme of venus and adonis, as is shakespeare's narrative poem</td> </tr> <tr> <th>11</th> <td>12</td> <td>thomas deloney?</td> <td>"crabbed age and youth cannot live together"</td> <td>was reprinted with additional stanzas in thomas deloney's the garden of good will entered into the stationer's register in march 1593. deloney died in 1600; he might be the author of 12, though collections of his verse issued after his death contain poems by other authors. critic hallett smith has identified poem 12 as the one most often favoured by readers as possibly shakespearean - "but there is nothing to support the attribution."</td> </tr> <tr> <th>12</th> <td>13</td> <td>none</td> <td>"beauty is but a vain and doubtful good"</td> <td>in the same six-line stanza format as venus and adonis</td> </tr> <tr> <th>13</th> <td>14</td> <td>none</td> <td>"good-night, good rest, ah, neither be my share"</td> <td>in the same six-line stanza format as venus and adonis. originally published as two poems; some scholars, therefore, consider them as 14 and 15, adding 1 to all subsequent poem numbers</td> </tr> <tr> <th>14</th> <td>15</td> <td>none</td> <td>"it was a lording's daughter, the fairest one of three"</td> <td>none</td> </tr> <tr> <th>15</th> <td>16</td> <td>william shakespeare</td> <td>"on a day (alack the day)"</td> <td>dumaine's poem to catherine in love's labour's lost 4.3.99-118. reprinted in england's helicon (1600)</td> </tr> <tr> <th>16</th> <td>17</td> <td>none</td> <td>"my flockes feed not, my ewes breed not"</td> <td>first printed in thomas weelkes' madrigals to 3, 4, 5 and 6 voices (1597)</td> </tr> <tr> <th>17</th> <td>18</td> <td>none</td> <td>"when as thine eye hath chose the dame"</td> <td>three versions of the poem exist in manuscript miscellanies</td> </tr> <tr> <th>18</th> <td>19</td> <td>christopher marlowe &amp; sir walter raleigh</td> <td>"live with me and be my love"</td> <td>an inferior text of marlowe's poem "the passionate shepherd to his love" followed by the first stanza of sir walter raleigh's "the nymph's reply to the shepherd"</td> </tr> <tr> <th>19</th> <td>20</td> <td>richard barnfield</td> <td>"as it fell upon a day"</td> <td>first published in poems in divers humors (1598)</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>author</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>william shakespeare</td> </tr> </tbody> </table>

select author where number = 1 <table_name> : table | | number | author | first line | notes | |---:|---------:|:-----------------------------------------|:--------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 1 | william shakespeare | "when my love swears that she is made of truth" | first publication, later appears as sonnet 138 in shakespeare's sonnets | | 1 | 2 | william shakespeare | "two loves i have, of comfort and despair" | first publication, later appears as sonnet 144 in shakespeare's sonnets | | 2 | 3 | william shakespeare | "did not the heavenly rhetoric of thine eye" | a version of longaville's sonnet to maria in love's labour's lost 4.3.58-71 | | 3 | 4 | none | "sweet cytherea, sitting by a brook" | on the theme of venus and adonis, as is shakespeare's narrative poem | | 4 | 5 | william shakespeare | "if love make me forsworn, how shall i swear to love?" | a version of berowne's sonnet to rosalind in love's labour's lost 4.2.105-18 | | 5 | 6 | none | "scarce had the sun dried up the dewy morn" | on the theme of venus and adonis, as is shakespeare's narrative poem | | 6 | 7 | none | "fair is my love, but not so fair as fickle" | in the same six-line stanza format as venus and adonis | | 7 | 8 | richard barnfield | "if music and sweet poetry agree" | first published in poems in diverse humours (1598) | | 8 | 9 | none | "fair was the morn when the fair queen of love" | on the theme of venus and adonis, as is shakespeare's narrative poem | | 9 | 10 | none | "sweet rose, fair flower, untimely pluck'd, soon vaded" | in the same six-line stanza format as venus and adonis | | 10 | 11 | bartholomew griffin | "venus, with young adonis sitting by her" | printed in fidessa (1596). on the theme of venus and adonis, as is shakespeare's narrative poem | | 11 | 12 | thomas deloney? | "crabbed age and youth cannot live together" | was reprinted with additional stanzas in thomas deloney's the garden of good will entered into the stationer's register in march 1593. deloney died in 1600; he might be the author of 12, though collections of his verse issued after his death contain poems by other authors. critic hallett smith has identified poem 12 as the one most often favoured by readers as possibly shakespearean - "but there is nothing to support the attribution." | | 12 | 13 | none | "beauty is but a vain and doubtful good" | in the same six-line stanza format as venus and adonis | | 13 | 14 | none | "good-night, good rest, ah, neither be my share" | in the same six-line stanza format as venus and adonis. originally published as two poems; some scholars, therefore, consider them as 14 and 15, adding 1 to all subsequent poem numbers | | 14 | 15 | none | "it was a lording's daughter, the fairest one of three" | none | | 15 | 16 | william shakespeare | "on a day (alack the day)" | dumaine's poem to catherine in love's labour's lost 4.3.99-118. reprinted in england's helicon (1600) | | 16 | 17 | none | "my flockes feed not, my ewes breed not" | first printed in thomas weelkes' madrigals to 3, 4, 5 and 6 voices (1597) | | 17 | 18 | none | "when as thine eye hath chose the dame" | three versions of the poem exist in manuscript miscellanies | | 18 | 19 | christopher marlowe & sir walter raleigh | "live with me and be my love" | an inferior text of marlowe's poem "the passionate shepherd to his love" followed by the first stanza of sir walter raleigh's "the nymph's reply to the shepherd" | | 19 | 20 | richard barnfield | "as it fell upon a day" | first published in poems in divers humors (1598) |

| | author | |---:|:--------------------| | 0 | william shakespeare |

select home where away = '1-2' col : season | competition | round | club | home | away | aggregate row 1 : 2010-11 | uefa europa league | q3 | motherwell | 1-1 | 0-3 | 1-4 row 2 : 2011-12 | uefa europa league | q1 | neath | 4-1 | 2-0 | 6-1 row 3 : 2011-12 | uefa europa league | q2 | ferencvaros | 3-1(aet) | 1-2 | 4-3 row 4 : 2011-12 | uefa europa league | q3 | elfsborg | 4-0 | 1-1 | 5-1 row 5 : 2011-12 | uefa europa league | play-off | az | 2-1 | 0-6 | 2-7 row 6 : 2012-13 | uefa europa league | q2 | tirana | 5-0 | 1-1 | 6-1 row 7 : 2012-13 | uefa europa league | q3 | apoel | 0-1 | 1-2 | 1-3

col : home row 1 : 3-1(aet) row 2 : 0-1

select home where away = '1-2' <table_name> : table \begin{tabular}{llllllll} \toprule & season & competition & round & club & home & away & aggregate \\ \midrule 0 & 2010-11 & uefa europa league & q3 & motherwell & 1-1 & 0-3 & 1-4 \\ 1 & 2011-12 & uefa europa league & q1 & neath & 4-1 & 2-0 & 6-1 \\ 2 & 2011-12 & uefa europa league & q2 & ferencvaros & 3-1(aet) & 1-2 & 4-3 \\ 3 & 2011-12 & uefa europa league & q3 & elfsborg & 4-0 & 1-1 & 5-1 \\ 4 & 2011-12 & uefa europa league & play-off & az & 2-1 & 0-6 & 2-7 \\ 5 & 2012-13 & uefa europa league & q2 & tirana & 5-0 & 1-1 & 6-1 \\ 6 & 2012-13 & uefa europa league & q3 & apoel & 0-1 & 1-2 & 1-3 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & home \\ \midrule 0 & 3-1(aet) \\ 1 & 0-1 \\ \bottomrule \end{tabular}

select home where away = '1-2' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>season</th> <th>competition</th> <th>round</th> <th>club</th> <th>home</th> <th>away</th> <th>aggregate</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2010-11</td> <td>uefa europa league</td> <td>q3</td> <td>motherwell</td> <td>1-1</td> <td>0-3</td> <td>1-4</td> </tr> <tr> <th>1</th> <td>2011-12</td> <td>uefa europa league</td> <td>q1</td> <td>neath</td> <td>4-1</td> <td>2-0</td> <td>6-1</td> </tr> <tr> <th>2</th> <td>2011-12</td> <td>uefa europa league</td> <td>q2</td> <td>ferencvaros</td> <td>3-1(aet)</td> <td>1-2</td> <td>4-3</td> </tr> <tr> <th>3</th> <td>2011-12</td> <td>uefa europa league</td> <td>q3</td> <td>elfsborg</td> <td>4-0</td> <td>1-1</td> <td>5-1</td> </tr> <tr> <th>4</th> <td>2011-12</td> <td>uefa europa league</td> <td>play-off</td> <td>az</td> <td>2-1</td> <td>0-6</td> <td>2-7</td> </tr> <tr> <th>5</th> <td>2012-13</td> <td>uefa europa league</td> <td>q2</td> <td>tirana</td> <td>5-0</td> <td>1-1</td> <td>6-1</td> </tr> <tr> <th>6</th> <td>2012-13</td> <td>uefa europa league</td> <td>q3</td> <td>apoel</td> <td>0-1</td> <td>1-2</td> <td>1-3</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>home</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>3-1(aet)</td> </tr> <tr> <th>1</th> <td>0-1</td> </tr> </tbody> </table>

select home where away = '1-2' <table_name> : table | | season | competition | round | club | home | away | aggregate | |---:|:---------|:-------------------|:---------|:------------|:---------|:-------|:------------| | 0 | 2010-11 | uefa europa league | q3 | motherwell | 1-1 | 0-3 | 1-4 | | 1 | 2011-12 | uefa europa league | q1 | neath | 4-1 | 2-0 | 6-1 | | 2 | 2011-12 | uefa europa league | q2 | ferencvaros | 3-1(aet) | 1-2 | 4-3 | | 3 | 2011-12 | uefa europa league | q3 | elfsborg | 4-0 | 1-1 | 5-1 | | 4 | 2011-12 | uefa europa league | play-off | az | 2-1 | 0-6 | 2-7 | | 5 | 2012-13 | uefa europa league | q2 | tirana | 5-0 | 1-1 | 6-1 | | 6 | 2012-13 | uefa europa league | q3 | apoel | 0-1 | 1-2 | 1-3 |

| | home | |---:|:---------| | 0 | 3-1(aet) | | 1 | 0-1 |

select count ( producer ) where notes = 'none' col : year | film | director | producer | writer | notes row 1 : 1953 | the sea around us | yes | yes | yes | documentary academy award for best documentary feature row 2 : 1954 | dangerous mission | none | yes | none | none row 3 : 1956 | the animal world | yes | yes | yes | documentary row 4 : 1957 | the story of mankind | yes | yes | yes | documentary row 5 : 1960 | the big circus | none | yes | yes | none row 6 : 1960 | the lost world | yes | yes | yes | none row 7 : 1961 | voyage to the bottom of the sea | yes | yes | yes | none row 8 : 1962 | five weeks in a balloon | yes | yes | yes | none row 9 : 1972 | the poseidon adventure | yes | yes | none | directed action sequences only nominated-golden globe award for best motion picture - drama row 10 : 1974 | the towering inferno | none | yes | none | nominated-academy award for best picture row 11 : 1978 | the swarm | yes | yes | none | none row 12 : 1979 | beyond the poseidon adventure | yes | yes | none | none row 13 : 1980 | when time ran out | none | yes | none | none row 14 : 1983 | cave-in! | none | yes | none | none

col : count ( "producer" ) row 1 : 9

select count ( producer ) where notes = 'none' <table_name> : table \begin{tabular}{lllllll} \toprule & year & film & director & producer & writer & notes \\ \midrule 0 & 1953 & the sea around us & yes & yes & yes & documentary academy award for best documentary feature \\ 1 & 1954 & dangerous mission & none & yes & none & none \\ 2 & 1956 & the animal world & yes & yes & yes & documentary \\ 3 & 1957 & the story of mankind & yes & yes & yes & documentary \\ 4 & 1960 & the big circus & none & yes & yes & none \\ 5 & 1960 & the lost world & yes & yes & yes & none \\ 6 & 1961 & voyage to the bottom of the sea & yes & yes & yes & none \\ 7 & 1962 & five weeks in a balloon & yes & yes & yes & none \\ 8 & 1972 & the poseidon adventure & yes & yes & none & directed action sequences only nominated-golden globe award for best motion picture - drama \\ 9 & 1974 & the towering inferno & none & yes & none & nominated-academy award for best picture \\ 10 & 1978 & the swarm & yes & yes & none & none \\ 11 & 1979 & beyond the poseidon adventure & yes & yes & none & none \\ 12 & 1980 & when time ran out & none & yes & none & none \\ 13 & 1983 & cave-in! & none & yes & none & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "producer" ) \\ \midrule 0 & 9 \\ \bottomrule \end{tabular}

select count ( producer ) where notes = 'none' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>film</th> <th>director</th> <th>producer</th> <th>writer</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1953</td> <td>the sea around us</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>documentary academy award for best documentary feature</td> </tr> <tr> <th>1</th> <td>1954</td> <td>dangerous mission</td> <td>none</td> <td>yes</td> <td>none</td> <td>none</td> </tr> <tr> <th>2</th> <td>1956</td> <td>the animal world</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>documentary</td> </tr> <tr> <th>3</th> <td>1957</td> <td>the story of mankind</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>documentary</td> </tr> <tr> <th>4</th> <td>1960</td> <td>the big circus</td> <td>none</td> <td>yes</td> <td>yes</td> <td>none</td> </tr> <tr> <th>5</th> <td>1960</td> <td>the lost world</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>none</td> </tr> <tr> <th>6</th> <td>1961</td> <td>voyage to the bottom of the sea</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>none</td> </tr> <tr> <th>7</th> <td>1962</td> <td>five weeks in a balloon</td> <td>yes</td> <td>yes</td> <td>yes</td> <td>none</td> </tr> <tr> <th>8</th> <td>1972</td> <td>the poseidon adventure</td> <td>yes</td> <td>yes</td> <td>none</td> <td>directed action sequences only nominated-golden globe award for best motion picture - drama</td> </tr> <tr> <th>9</th> <td>1974</td> <td>the towering inferno</td> <td>none</td> <td>yes</td> <td>none</td> <td>nominated-academy award for best picture</td> </tr> <tr> <th>10</th> <td>1978</td> <td>the swarm</td> <td>yes</td> <td>yes</td> <td>none</td> <td>none</td> </tr> <tr> <th>11</th> <td>1979</td> <td>beyond the poseidon adventure</td> <td>yes</td> <td>yes</td> <td>none</td> <td>none</td> </tr> <tr> <th>12</th> <td>1980</td> <td>when time ran out</td> <td>none</td> <td>yes</td> <td>none</td> <td>none</td> </tr> <tr> <th>13</th> <td>1983</td> <td>cave-in!</td> <td>none</td> <td>yes</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 ( "producer" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>9</td> </tr> </tbody> </table>

select count ( producer ) where notes = 'none' <table_name> : table | | year | film | director | producer | writer | notes | |---:|-------:|:--------------------------------|:-----------|:-----------|:---------|:--------------------------------------------------------------------------------------------| | 0 | 1953 | the sea around us | yes | yes | yes | documentary academy award for best documentary feature | | 1 | 1954 | dangerous mission | none | yes | none | none | | 2 | 1956 | the animal world | yes | yes | yes | documentary | | 3 | 1957 | the story of mankind | yes | yes | yes | documentary | | 4 | 1960 | the big circus | none | yes | yes | none | | 5 | 1960 | the lost world | yes | yes | yes | none | | 6 | 1961 | voyage to the bottom of the sea | yes | yes | yes | none | | 7 | 1962 | five weeks in a balloon | yes | yes | yes | none | | 8 | 1972 | the poseidon adventure | yes | yes | none | directed action sequences only nominated-golden globe award for best motion picture - drama | | 9 | 1974 | the towering inferno | none | yes | none | nominated-academy award for best picture | | 10 | 1978 | the swarm | yes | yes | none | none | | 11 | 1979 | beyond the poseidon adventure | yes | yes | none | none | | 12 | 1980 | when time ran out | none | yes | none | none | | 13 | 1983 | cave-in! | none | yes | none | none |

| | count ( "producer" ) | |---:|-----------------------:| | 0 | 9 |

select max ( to par ) - min ( to par ) where to par = -8 col : place | player | country | score | to par | money ($) row 1 : 1 | ralph guldahl | united states | 72-68-70-69=279 | -9 | 1,500 row 2 : 2 | sam snead | united states | 70-70-72-68=280 | -8 | 800 row 3 : t3 | billy burke | united states | 69-72-71-70=282 | -6 | 550 row 4 : t3 | lawson little | united states | 72-72-68-70=282 | -6 | 550 row 5 : 5 | gene sarazen | united states | 73-66-72-72=283 | -5 | 400 row 6 : 6 | craig wood | united states | 72-73-71-68=284 | -4 | 300 row 7 : 7 | byron nelson | united states | 71-69-72-75=287 | -1 | 250 row 8 : 8 | henry picard | united states | 71-71-76-71=289 | 1 | 175 row 9 : 9 | ben hogan | united states | 75-71-72-72=290 | 2 | 125 row 10 : t10 | ed dudley | united states | 75-75-69-72=291 | 3 | 100 row 11 : t10 | toney penna | united states | 72-75-72-72=291 | 3 | 100

col : max ( "to par" ) row 1 : -8

select max ( to par ) - min ( to par ) where to par = -8 <table_name> : table \begin{tabular}{lllllll} \toprule & place & player & country & score & to par & money ($) \\ \midrule 0 & 1 & ralph guldahl & united states & 72-68-70-69=279 & -9 & 1,500 \\ 1 & 2 & sam snead & united states & 70-70-72-68=280 & -8 & 800 \\ 2 & t3 & billy burke & united states & 69-72-71-70=282 & -6 & 550 \\ 3 & t3 & lawson little & united states & 72-72-68-70=282 & -6 & 550 \\ 4 & 5 & gene sarazen & united states & 73-66-72-72=283 & -5 & 400 \\ 5 & 6 & craig wood & united states & 72-73-71-68=284 & -4 & 300 \\ 6 & 7 & byron nelson & united states & 71-69-72-75=287 & -1 & 250 \\ 7 & 8 & henry picard & united states & 71-71-76-71=289 & 1 & 175 \\ 8 & 9 & ben hogan & united states & 75-71-72-72=290 & 2 & 125 \\ 9 & t10 & ed dudley & united states & 75-75-69-72=291 & 3 & 100 \\ 10 & t10 & toney penna & united states & 72-75-72-72=291 & 3 & 100 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & max ( "to par" ) \\ \midrule 0 & -8 \\ \bottomrule \end{tabular}

select max ( to par ) - min ( to par ) where to par = -8 <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> <th>money ($)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>ralph guldahl</td> <td>united states</td> <td>72-68-70-69=279</td> <td>-9</td> <td>1,500</td> </tr> <tr> <th>1</th> <td>2</td> <td>sam snead</td> <td>united states</td> <td>70-70-72-68=280</td> <td>-8</td> <td>800</td> </tr> <tr> <th>2</th> <td>t3</td> <td>billy burke</td> <td>united states</td> <td>69-72-71-70=282</td> <td>-6</td> <td>550</td> </tr> <tr> <th>3</th> <td>t3</td> <td>lawson little</td> <td>united states</td> <td>72-72-68-70=282</td> <td>-6</td> <td>550</td> </tr> <tr> <th>4</th> <td>5</td> <td>gene sarazen</td> <td>united states</td> <td>73-66-72-72=283</td> <td>-5</td> <td>400</td> </tr> <tr> <th>5</th> <td>6</td> <td>craig wood</td> <td>united states</td> <td>72-73-71-68=284</td> <td>-4</td> <td>300</td> </tr> <tr> <th>6</th> <td>7</td> <td>byron nelson</td> <td>united states</td> <td>71-69-72-75=287</td> <td>-1</td> <td>250</td> </tr> <tr> <th>7</th> <td>8</td> <td>henry picard</td> <td>united states</td> <td>71-71-76-71=289</td> <td>1</td> <td>175</td> </tr> <tr> <th>8</th> <td>9</td> <td>ben hogan</td> <td>united states</td> <td>75-71-72-72=290</td> <td>2</td> <td>125</td> </tr> <tr> <th>9</th> <td>t10</td> <td>ed dudley</td> <td>united states</td> <td>75-75-69-72=291</td> <td>3</td> <td>100</td> </tr> <tr> <th>10</th> <td>t10</td> <td>toney penna</td> <td>united states</td> <td>72-75-72-72=291</td> <td>3</td> <td>100</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>max ( "to par" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>-8</td> </tr> </tbody> </table>

select max ( to par ) - min ( to par ) where to par = -8 <table_name> : table | | place | player | country | score | to par | money ($) | |---:|:--------|:--------------|:--------------|:----------------|---------:|:------------| | 0 | 1 | ralph guldahl | united states | 72-68-70-69=279 | -9 | 1,500 | | 1 | 2 | sam snead | united states | 70-70-72-68=280 | -8 | 800 | | 2 | t3 | billy burke | united states | 69-72-71-70=282 | -6 | 550 | | 3 | t3 | lawson little | united states | 72-72-68-70=282 | -6 | 550 | | 4 | 5 | gene sarazen | united states | 73-66-72-72=283 | -5 | 400 | | 5 | 6 | craig wood | united states | 72-73-71-68=284 | -4 | 300 | | 6 | 7 | byron nelson | united states | 71-69-72-75=287 | -1 | 250 | | 7 | 8 | henry picard | united states | 71-71-76-71=289 | 1 | 175 | | 8 | 9 | ben hogan | united states | 75-71-72-72=290 | 2 | 125 | | 9 | t10 | ed dudley | united states | 75-75-69-72=291 | 3 | 100 | | 10 | t10 | toney penna | united states | 72-75-72-72=291 | 3 | 100 |

| | max ( "to par" ) | |---:|-------------------:| | 0 | -8 |

select count ( original air date ) where original air date < 177 col : no. in series | no. in season | title | directed by | written by | original air date | prod. code row 1 : 3 | 1 | "so long, patrick henry" | leo penn | robert culp | september 15, 1965 | 101 row 2 : 5 | 2 | "a cup of kindness" | leo penn | morton fine & david friedkin | september 22, 1965 | 102 row 3 : 2 | 3 | "carry me back to old tsing-tao" | mark rydell | david karp | september 29, 1965 | 103 row 4 : 6 | 4 | "chrysanthemum" | david friedkin | edward j. lakso | october 6, 1965 | 104 row 5 : 7 | 5 | "dragon's teeth" | leo penn | gilbert ralston | october 13, 1965 | 105 row 6 : 8 | 6 | "the loser" | mark rydell | robert culp | october 20, 1965 | 106 row 7 : 4 | 7 | "danny was a million laughs" | mark rydell | arthur dales | october 27, 1965 | 107 row 8 : 10 | 8 | "the time of the knife" | paul wendkos | gilbert ralston | november 3, 1965 | 108 row 9 : 9 | 9 | "no exchange on damaged merchandise" | leo penn | gary marshall & jerry belson | november 10, 1965 | 109 row 10 : 11 | 10 | "tatia" | david friedkin | robert lewin | november 17, 1965 | 110 row 11 : 12 | 11 | "weight of the world" | paul wendkos | robert lewin | december 1, 1965 | 111 row 12 : 14 | 12 | "three hours on a sunday" | paul wendkos | morton fine & david friedkin | december 8, 1965 | 112 row 13 : 13 | 13 | "tigers of heaven" | allen reisner | morton fine & david friedkin | december 15, 1965 | 113 row 14 : 1 | 14 | "affair in t'sien cha" | sheldon leonard | morton fine & david friedkin | december 29, 1965 | 114 row 15 : 16 | 15 | "the tiger" | paul wendkos | robert culp | january 5, 1966 | 115 row 16 : 17 | 16 | "the barter" | allen reisner | harvey bullock & p.s. allen | january 12, 1966 | 116 row 17 : 15 | 17 | "always say goodbye" | allen reisner | robert c. dennis & earl barrett | january 26, 1966 | 117 row 18 : 18 | 18 | "court of the lion" | robert culp | robert culp | february 2, 1966 | 118 row 19 : 19 | 19 | "turkish delight" | paul wendkos | eric bercovici | february 9, 1966 | 119 row 20 : 20 | 20 | "bet me a dollar" | richard sarafian | david friedkin & morton fine | february 16, 1966 | 120 row 21 : 21 | 21 | "return to glory" | robert sarafian | david friedkin & morton fine | february 23, 1966 | 121 row 22 : 22 | 22 | "the conquest of maude murdock" | paul wendkos | robert c. dennis & earl barrett | march 2, 1966 | 122 row 23 : 23 | 23 | "a day called 4 jaguar" | richard sarafian | michael zagar | march 9, 1966 | 123 row 24 : 25 | 24 | "crusade to limbo" | richard sarafian | teleplay by: morton fine & david freidkin & jack turley story by: jack turley | march 23, 1966 | 124 row 25 : 26 | 25 | "my mother, the spy" | richard benedict | howard gast | march 30, 1966 | 125 row 26 : 27 | 26 | "there was a little girl" | john rich | teleplay by: stephen kandell story by: robert bloch | april 6, 1966 | 126 row 27 : 28 | 27 | "it's all done with mirrors" | robert butler | stephen kandell | april 13, 1966 | 127 row 28 : 24 | 28 | "one thousand fine" | paul wendkos | eric bercovici | april 27, 1966 | 128

col : count ( "original air date" ) row 1 : 0

select count ( original air date ) where original air date < 177 <table_name> : table \begin{tabular}{llllllll} \toprule & no. in series & no. in season & title & directed by & written by & original air date & prod. code \\ \midrule 0 & 3 & 1 & "so long, patrick henry" & leo penn & robert culp & september 15, 1965 & 101 \\ 1 & 5 & 2 & "a cup of kindness" & leo penn & morton fine & david friedkin & september 22, 1965 & 102 \\ 2 & 2 & 3 & "carry me back to old tsing-tao" & mark rydell & david karp & september 29, 1965 & 103 \\ 3 & 6 & 4 & "chrysanthemum" & david friedkin & edward j. lakso & october 6, 1965 & 104 \\ 4 & 7 & 5 & "dragon's teeth" & leo penn & gilbert ralston & october 13, 1965 & 105 \\ 5 & 8 & 6 & "the loser" & mark rydell & robert culp & october 20, 1965 & 106 \\ 6 & 4 & 7 & "danny was a million laughs" & mark rydell & arthur dales & october 27, 1965 & 107 \\ 7 & 10 & 8 & "the time of the knife" & paul wendkos & gilbert ralston & november 3, 1965 & 108 \\ 8 & 9 & 9 & "no exchange on damaged merchandise" & leo penn & gary marshall & jerry belson & november 10, 1965 & 109 \\ 9 & 11 & 10 & "tatia" & david friedkin & robert lewin & november 17, 1965 & 110 \\ 10 & 12 & 11 & "weight of the world" & paul wendkos & robert lewin & december 1, 1965 & 111 \\ 11 & 14 & 12 & "three hours on a sunday" & paul wendkos & morton fine & david friedkin & december 8, 1965 & 112 \\ 12 & 13 & 13 & "tigers of heaven" & allen reisner & morton fine & david friedkin & december 15, 1965 & 113 \\ 13 & 1 & 14 & "affair in t'sien cha" & sheldon leonard & morton fine & david friedkin & december 29, 1965 & 114 \\ 14 & 16 & 15 & "the tiger" & paul wendkos & robert culp & january 5, 1966 & 115 \\ 15 & 17 & 16 & "the barter" & allen reisner & harvey bullock & p.s. allen & january 12, 1966 & 116 \\ 16 & 15 & 17 & "always say goodbye" & allen reisner & robert c. dennis & earl barrett & january 26, 1966 & 117 \\ 17 & 18 & 18 & "court of the lion" & robert culp & robert culp & february 2, 1966 & 118 \\ 18 & 19 & 19 & "turkish delight" & paul wendkos & eric bercovici & february 9, 1966 & 119 \\ 19 & 20 & 20 & "bet me a dollar" & richard sarafian & david friedkin & morton fine & february 16, 1966 & 120 \\ 20 & 21 & 21 & "return to glory" & robert sarafian & david friedkin & morton fine & february 23, 1966 & 121 \\ 21 & 22 & 22 & "the conquest of maude murdock" & paul wendkos & robert c. dennis & earl barrett & march 2, 1966 & 122 \\ 22 & 23 & 23 & "a day called 4 jaguar" & richard sarafian & michael zagar & march 9, 1966 & 123 \\ 23 & 25 & 24 & "crusade to limbo" & richard sarafian & teleplay by: morton fine & david freidkin & jack turley story by: jack turley & march 23, 1966 & 124 \\ 24 & 26 & 25 & "my mother, the spy" & richard benedict & howard gast & march 30, 1966 & 125 \\ 25 & 27 & 26 & "there was a little girl" & john rich & teleplay by: stephen kandell story by: robert bloch & april 6, 1966 & 126 \\ 26 & 28 & 27 & "it's all done with mirrors" & robert butler & stephen kandell & april 13, 1966 & 127 \\ 27 & 24 & 28 & "one thousand fine" & paul wendkos & eric bercovici & april 27, 1966 & 128 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "original air date" ) \\ \midrule 0 & 0 \\ \bottomrule \end{tabular}

select count ( original air date ) where original air date < 177 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>no. in series</th> <th>no. in season</th> <th>title</th> <th>directed by</th> <th>written by</th> <th>original air date</th> <th>prod. code</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>3</td> <td>1</td> <td>"so long, patrick henry"</td> <td>leo penn</td> <td>robert culp</td> <td>september 15, 1965</td> <td>101</td> </tr> <tr> <th>1</th> <td>5</td> <td>2</td> <td>"a cup of kindness"</td> <td>leo penn</td> <td>morton fine &amp; david friedkin</td> <td>september 22, 1965</td> <td>102</td> </tr> <tr> <th>2</th> <td>2</td> <td>3</td> <td>"carry me back to old tsing-tao"</td> <td>mark rydell</td> <td>david karp</td> <td>september 29, 1965</td> <td>103</td> </tr> <tr> <th>3</th> <td>6</td> <td>4</td> <td>"chrysanthemum"</td> <td>david friedkin</td> <td>edward j. lakso</td> <td>october 6, 1965</td> <td>104</td> </tr> <tr> <th>4</th> <td>7</td> <td>5</td> <td>"dragon's teeth"</td> <td>leo penn</td> <td>gilbert ralston</td> <td>october 13, 1965</td> <td>105</td> </tr> <tr> <th>5</th> <td>8</td> <td>6</td> <td>"the loser"</td> <td>mark rydell</td> <td>robert culp</td> <td>october 20, 1965</td> <td>106</td> </tr> <tr> <th>6</th> <td>4</td> <td>7</td> <td>"danny was a million laughs"</td> <td>mark rydell</td> <td>arthur dales</td> <td>october 27, 1965</td> <td>107</td> </tr> <tr> <th>7</th> <td>10</td> <td>8</td> <td>"the time of the knife"</td> <td>paul wendkos</td> <td>gilbert ralston</td> <td>november 3, 1965</td> <td>108</td> </tr> <tr> <th>8</th> <td>9</td> <td>9</td> <td>"no exchange on damaged merchandise"</td> <td>leo penn</td> <td>gary marshall &amp; jerry belson</td> <td>november 10, 1965</td> <td>109</td> </tr> <tr> <th>9</th> <td>11</td> <td>10</td> <td>"tatia"</td> <td>david friedkin</td> <td>robert lewin</td> <td>november 17, 1965</td> <td>110</td> </tr> <tr> <th>10</th> <td>12</td> <td>11</td> <td>"weight of the world"</td> <td>paul wendkos</td> <td>robert lewin</td> <td>december 1, 1965</td> <td>111</td> </tr> <tr> <th>11</th> <td>14</td> <td>12</td> <td>"three hours on a sunday"</td> <td>paul wendkos</td> <td>morton fine &amp; david friedkin</td> <td>december 8, 1965</td> <td>112</td> </tr> <tr> <th>12</th> <td>13</td> <td>13</td> <td>"tigers of heaven"</td> <td>allen reisner</td> <td>morton fine &amp; david friedkin</td> <td>december 15, 1965</td> <td>113</td> </tr> <tr> <th>13</th> <td>1</td> <td>14</td> <td>"affair in t'sien cha"</td> <td>sheldon leonard</td> <td>morton fine &amp; david friedkin</td> <td>december 29, 1965</td> <td>114</td> </tr> <tr> <th>14</th> <td>16</td> <td>15</td> <td>"the tiger"</td> <td>paul wendkos</td> <td>robert culp</td> <td>january 5, 1966</td> <td>115</td> </tr> <tr> <th>15</th> <td>17</td> <td>16</td> <td>"the barter"</td> <td>allen reisner</td> <td>harvey bullock &amp; p.s. allen</td> <td>january 12, 1966</td> <td>116</td> </tr> <tr> <th>16</th> <td>15</td> <td>17</td> <td>"always say goodbye"</td> <td>allen reisner</td> <td>robert c. dennis &amp; earl barrett</td> <td>january 26, 1966</td> <td>117</td> </tr> <tr> <th>17</th> <td>18</td> <td>18</td> <td>"court of the lion"</td> <td>robert culp</td> <td>robert culp</td> <td>february 2, 1966</td> <td>118</td> </tr> <tr> <th>18</th> <td>19</td> <td>19</td> <td>"turkish delight"</td> <td>paul wendkos</td> <td>eric bercovici</td> <td>february 9, 1966</td> <td>119</td> </tr> <tr> <th>19</th> <td>20</td> <td>20</td> <td>"bet me a dollar"</td> <td>richard sarafian</td> <td>david friedkin &amp; morton fine</td> <td>february 16, 1966</td> <td>120</td> </tr> <tr> <th>20</th> <td>21</td> <td>21</td> <td>"return to glory"</td> <td>robert sarafian</td> <td>david friedkin &amp; morton fine</td> <td>february 23, 1966</td> <td>121</td> </tr> <tr> <th>21</th> <td>22</td> <td>22</td> <td>"the conquest of maude murdock"</td> <td>paul wendkos</td> <td>robert c. dennis &amp; earl barrett</td> <td>march 2, 1966</td> <td>122</td> </tr> <tr> <th>22</th> <td>23</td> <td>23</td> <td>"a day called 4 jaguar"</td> <td>richard sarafian</td> <td>michael zagar</td> <td>march 9, 1966</td> <td>123</td> </tr> <tr> <th>23</th> <td>25</td> <td>24</td> <td>"crusade to limbo"</td> <td>richard sarafian</td> <td>teleplay by: morton fine &amp; david freidkin &amp; jack turley story by: jack turley</td> <td>march 23, 1966</td> <td>124</td> </tr> <tr> <th>24</th> <td>26</td> <td>25</td> <td>"my mother, the spy"</td> <td>richard benedict</td> <td>howard gast</td> <td>march 30, 1966</td> <td>125</td> </tr> <tr> <th>25</th> <td>27</td> <td>26</td> <td>"there was a little girl"</td> <td>john rich</td> <td>teleplay by: stephen kandell story by: robert bloch</td> <td>april 6, 1966</td> <td>126</td> </tr> <tr> <th>26</th> <td>28</td> <td>27</td> <td>"it's all done with mirrors"</td> <td>robert butler</td> <td>stephen kandell</td> <td>april 13, 1966</td> <td>127</td> </tr> <tr> <th>27</th> <td>24</td> <td>28</td> <td>"one thousand fine"</td> <td>paul wendkos</td> <td>eric bercovici</td> <td>april 27, 1966</td> <td>128</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "original air date" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>0</td> </tr> </tbody> </table>

select count ( original air date ) where original air date < 177 <table_name> : table | | no. in series | no. in season | title | directed by | written by | original air date | prod. code | |---:|----------------:|----------------:|:-------------------------------------|:-----------------|:------------------------------------------------------------------------------|:--------------------|-------------:| | 0 | 3 | 1 | "so long, patrick henry" | leo penn | robert culp | september 15, 1965 | 101 | | 1 | 5 | 2 | "a cup of kindness" | leo penn | morton fine & david friedkin | september 22, 1965 | 102 | | 2 | 2 | 3 | "carry me back to old tsing-tao" | mark rydell | david karp | september 29, 1965 | 103 | | 3 | 6 | 4 | "chrysanthemum" | david friedkin | edward j. lakso | october 6, 1965 | 104 | | 4 | 7 | 5 | "dragon's teeth" | leo penn | gilbert ralston | october 13, 1965 | 105 | | 5 | 8 | 6 | "the loser" | mark rydell | robert culp | october 20, 1965 | 106 | | 6 | 4 | 7 | "danny was a million laughs" | mark rydell | arthur dales | october 27, 1965 | 107 | | 7 | 10 | 8 | "the time of the knife" | paul wendkos | gilbert ralston | november 3, 1965 | 108 | | 8 | 9 | 9 | "no exchange on damaged merchandise" | leo penn | gary marshall & jerry belson | november 10, 1965 | 109 | | 9 | 11 | 10 | "tatia" | david friedkin | robert lewin | november 17, 1965 | 110 | | 10 | 12 | 11 | "weight of the world" | paul wendkos | robert lewin | december 1, 1965 | 111 | | 11 | 14 | 12 | "three hours on a sunday" | paul wendkos | morton fine & david friedkin | december 8, 1965 | 112 | | 12 | 13 | 13 | "tigers of heaven" | allen reisner | morton fine & david friedkin | december 15, 1965 | 113 | | 13 | 1 | 14 | "affair in t'sien cha" | sheldon leonard | morton fine & david friedkin | december 29, 1965 | 114 | | 14 | 16 | 15 | "the tiger" | paul wendkos | robert culp | january 5, 1966 | 115 | | 15 | 17 | 16 | "the barter" | allen reisner | harvey bullock & p.s. allen | january 12, 1966 | 116 | | 16 | 15 | 17 | "always say goodbye" | allen reisner | robert c. dennis & earl barrett | january 26, 1966 | 117 | | 17 | 18 | 18 | "court of the lion" | robert culp | robert culp | february 2, 1966 | 118 | | 18 | 19 | 19 | "turkish delight" | paul wendkos | eric bercovici | february 9, 1966 | 119 | | 19 | 20 | 20 | "bet me a dollar" | richard sarafian | david friedkin & morton fine | february 16, 1966 | 120 | | 20 | 21 | 21 | "return to glory" | robert sarafian | david friedkin & morton fine | february 23, 1966 | 121 | | 21 | 22 | 22 | "the conquest of maude murdock" | paul wendkos | robert c. dennis & earl barrett | march 2, 1966 | 122 | | 22 | 23 | 23 | "a day called 4 jaguar" | richard sarafian | michael zagar | march 9, 1966 | 123 | | 23 | 25 | 24 | "crusade to limbo" | richard sarafian | teleplay by: morton fine & david freidkin & jack turley story by: jack turley | march 23, 1966 | 124 | | 24 | 26 | 25 | "my mother, the spy" | richard benedict | howard gast | march 30, 1966 | 125 | | 25 | 27 | 26 | "there was a little girl" | john rich | teleplay by: stephen kandell story by: robert bloch | april 6, 1966 | 126 | | 26 | 28 | 27 | "it's all done with mirrors" | robert butler | stephen kandell | april 13, 1966 | 127 | | 27 | 24 | 28 | "one thousand fine" | paul wendkos | eric bercovici | april 27, 1966 | 128 |

| | count ( "original air date" ) | |---:|--------------------------------:| | 0 | 0 |

select count ( * ) where rank = 10 col : contestant | age | height | home city | rank row 1 : isabelle raisa | 16 | 170 cm (5 ft 7 in) | vienna | eliminated in episode 1 row 2 : alina chlebecek | 18 | 170 cm (5 ft 7 in) | deutsch-wagram | eliminated in episode 1 row 3 : sabrina angelika rauch | 21 | 175 cm (5 ft 9 in) | graz | eliminated in episode 2 row 4 : katharina mihalovic | 23 | 179 cm (5 ft 10.5 in) | vienna | eliminated in episode 2 row 5 : natasa maric | 16 | 175 cm (5 ft 9 in) | liefering (originally from serbia) | eliminated in episode 3 row 6 : michaela schopf | 21 | 172 cm (5 ft 7.5 in) | salzburg (originally from germany) | quit in episode 4 row 7 : christine riener | 20 | 181 cm (5 ft 11.25 in) | bludenz | eliminated in episode 4 row 8 : teodora-madalina andreica | 17 | 177 cm (5 ft 9.5 in) | romania | eliminated in episode 6 row 9 : yemisi rieger | 17 | 177 cm (5 ft 9.5 in) | vienna | eliminated in episode 7 row 10 : izabela pop kostic | 20 | 170 cm (5 ft 7 in) | vienna (originally from bosnia) | eliminated in episode 8 row 11 : bianca ebelsberger | 24 | 179 cm (5 ft 10.5 in) | aurach am hongar | eliminated in episode 9 row 12 : nadine trinker | 21 | 183 cm (6 ft 0 in) | bodensdorf | eliminated in episode 9 row 13 : dzejlana "lana" baltic | 20 | 179 cm (5 ft 10.5 in) | graz (originally from bosnia) | 1st eliminated in episode 10 row 14 : melisa popanicic | 16 | 175 cm (5 ft 9 in) | worgl | 2nd eliminated in episode 10 row 15 : gina zeneb adamu | 17 | 175 cm (5 ft 9 in) | bad voslau | runner-up row 16 : antonia maria hausmair | 16 | 175 cm (5 ft 9 in) | siegendorf | winner

col : count ( "*" ) row 1 : 0

select count ( * ) where rank = 10 <table_name> : table \begin{tabular}{llllll} \toprule & contestant & age & height & home city & rank \\ \midrule 0 & isabelle raisa & 16 & 170 cm (5 ft 7 in) & vienna & eliminated in episode 1 \\ 1 & alina chlebecek & 18 & 170 cm (5 ft 7 in) & deutsch-wagram & eliminated in episode 1 \\ 2 & sabrina angelika rauch & 21 & 175 cm (5 ft 9 in) & graz & eliminated in episode 2 \\ 3 & katharina mihalovic & 23 & 179 cm (5 ft 10.5 in) & vienna & eliminated in episode 2 \\ 4 & natasa maric & 16 & 175 cm (5 ft 9 in) & liefering (originally from serbia) & eliminated in episode 3 \\ 5 & michaela schopf & 21 & 172 cm (5 ft 7.5 in) & salzburg (originally from germany) & quit in episode 4 \\ 6 & christine riener & 20 & 181 cm (5 ft 11.25 in) & bludenz & eliminated in episode 4 \\ 7 & teodora-madalina andreica & 17 & 177 cm (5 ft 9.5 in) & romania & eliminated in episode 6 \\ 8 & yemisi rieger & 17 & 177 cm (5 ft 9.5 in) & vienna & eliminated in episode 7 \\ 9 & izabela pop kostic & 20 & 170 cm (5 ft 7 in) & vienna (originally from bosnia) & eliminated in episode 8 \\ 10 & bianca ebelsberger & 24 & 179 cm (5 ft 10.5 in) & aurach am hongar & eliminated in episode 9 \\ 11 & nadine trinker & 21 & 183 cm (6 ft 0 in) & bodensdorf & eliminated in episode 9 \\ 12 & dzejlana "lana" baltic & 20 & 179 cm (5 ft 10.5 in) & graz (originally from bosnia) & 1st eliminated in episode 10 \\ 13 & melisa popanicic & 16 & 175 cm (5 ft 9 in) & worgl & 2nd eliminated in episode 10 \\ 14 & gina zeneb adamu & 17 & 175 cm (5 ft 9 in) & bad voslau & runner-up \\ 15 & antonia maria hausmair & 16 & 175 cm (5 ft 9 in) & siegendorf & winner \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 0 \\ \bottomrule \end{tabular}

select count ( * ) where rank = 10 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>contestant</th> <th>age</th> <th>height</th> <th>home city</th> <th>rank</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>isabelle raisa</td> <td>16</td> <td>170 cm (5 ft 7 in)</td> <td>vienna</td> <td>eliminated in episode 1</td> </tr> <tr> <th>1</th> <td>alina chlebecek</td> <td>18</td> <td>170 cm (5 ft 7 in)</td> <td>deutsch-wagram</td> <td>eliminated in episode 1</td> </tr> <tr> <th>2</th> <td>sabrina angelika rauch</td> <td>21</td> <td>175 cm (5 ft 9 in)</td> <td>graz</td> <td>eliminated in episode 2</td> </tr> <tr> <th>3</th> <td>katharina mihalovic</td> <td>23</td> <td>179 cm (5 ft 10.5 in)</td> <td>vienna</td> <td>eliminated in episode 2</td> </tr> <tr> <th>4</th> <td>natasa maric</td> <td>16</td> <td>175 cm (5 ft 9 in)</td> <td>liefering (originally from serbia)</td> <td>eliminated in episode 3</td> </tr> <tr> <th>5</th> <td>michaela schopf</td> <td>21</td> <td>172 cm (5 ft 7.5 in)</td> <td>salzburg (originally from germany)</td> <td>quit in episode 4</td> </tr> <tr> <th>6</th> <td>christine riener</td> <td>20</td> <td>181 cm (5 ft 11.25 in)</td> <td>bludenz</td> <td>eliminated in episode 4</td> </tr> <tr> <th>7</th> <td>teodora-madalina andreica</td> <td>17</td> <td>177 cm (5 ft 9.5 in)</td> <td>romania</td> <td>eliminated in episode 6</td> </tr> <tr> <th>8</th> <td>yemisi rieger</td> <td>17</td> <td>177 cm (5 ft 9.5 in)</td> <td>vienna</td> <td>eliminated in episode 7</td> </tr> <tr> <th>9</th> <td>izabela pop kostic</td> <td>20</td> <td>170 cm (5 ft 7 in)</td> <td>vienna (originally from bosnia)</td> <td>eliminated in episode 8</td> </tr> <tr> <th>10</th> <td>bianca ebelsberger</td> <td>24</td> <td>179 cm (5 ft 10.5 in)</td> <td>aurach am hongar</td> <td>eliminated in episode 9</td> </tr> <tr> <th>11</th> <td>nadine trinker</td> <td>21</td> <td>183 cm (6 ft 0 in)</td> <td>bodensdorf</td> <td>eliminated in episode 9</td> </tr> <tr> <th>12</th> <td>dzejlana "lana" baltic</td> <td>20</td> <td>179 cm (5 ft 10.5 in)</td> <td>graz (originally from bosnia)</td> <td>1st eliminated in episode 10</td> </tr> <tr> <th>13</th> <td>melisa popanicic</td> <td>16</td> <td>175 cm (5 ft 9 in)</td> <td>worgl</td> <td>2nd eliminated in episode 10</td> </tr> <tr> <th>14</th> <td>gina zeneb adamu</td> <td>17</td> <td>175 cm (5 ft 9 in)</td> <td>bad voslau</td> <td>runner-up</td> </tr> <tr> <th>15</th> <td>antonia maria hausmair</td> <td>16</td> <td>175 cm (5 ft 9 in)</td> <td>siegendorf</td> <td>winner</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 rank = 10 <table_name> : table | | contestant | age | height | home city | rank | |---:|:--------------------------|------:|:-----------------------|:-----------------------------------|:-----------------------------| | 0 | isabelle raisa | 16 | 170 cm (5 ft 7 in) | vienna | eliminated in episode 1 | | 1 | alina chlebecek | 18 | 170 cm (5 ft 7 in) | deutsch-wagram | eliminated in episode 1 | | 2 | sabrina angelika rauch | 21 | 175 cm (5 ft 9 in) | graz | eliminated in episode 2 | | 3 | katharina mihalovic | 23 | 179 cm (5 ft 10.5 in) | vienna | eliminated in episode 2 | | 4 | natasa maric | 16 | 175 cm (5 ft 9 in) | liefering (originally from serbia) | eliminated in episode 3 | | 5 | michaela schopf | 21 | 172 cm (5 ft 7.5 in) | salzburg (originally from germany) | quit in episode 4 | | 6 | christine riener | 20 | 181 cm (5 ft 11.25 in) | bludenz | eliminated in episode 4 | | 7 | teodora-madalina andreica | 17 | 177 cm (5 ft 9.5 in) | romania | eliminated in episode 6 | | 8 | yemisi rieger | 17 | 177 cm (5 ft 9.5 in) | vienna | eliminated in episode 7 | | 9 | izabela pop kostic | 20 | 170 cm (5 ft 7 in) | vienna (originally from bosnia) | eliminated in episode 8 | | 10 | bianca ebelsberger | 24 | 179 cm (5 ft 10.5 in) | aurach am hongar | eliminated in episode 9 | | 11 | nadine trinker | 21 | 183 cm (6 ft 0 in) | bodensdorf | eliminated in episode 9 | | 12 | dzejlana "lana" baltic | 20 | 179 cm (5 ft 10.5 in) | graz (originally from bosnia) | 1st eliminated in episode 10 | | 13 | melisa popanicic | 16 | 175 cm (5 ft 9 in) | worgl | 2nd eliminated in episode 10 | | 14 | gina zeneb adamu | 17 | 175 cm (5 ft 9 in) | bad voslau | runner-up | | 15 | antonia maria hausmair | 16 | 175 cm (5 ft 9 in) | siegendorf | winner |

| | count ( "*" ) | |---:|----------------:| | 0 | 0 |

select derby winner where year = 2013 and galaxy = '2' col : year | derby winner | galaxy | draw | chivas row 1 : 2005 | galaxy | 5 | 0 | 0 row 2 : 2006 | galaxy | 2 | 1 | 1 row 3 : 2007 | chivas | 1 | 1 | 2 row 4 : 2008 | galaxy | 1 | 2 | 0 row 5 : 2009 | galaxy | 3 | 2 | 0 row 6 : 2010 | galaxy | 2 | 0 | 0 row 7 : 2011 | galaxy | 2 | 0 | 0 row 8 : 2012 | galaxy | 2 | 0 | 1 row 9 : 2013 | galaxy | 2 | 1 | 0 row 10 : total | none | 20 | 7 | 4

col : derby winner row 1 : galaxy

select derby winner where year = 2013 and galaxy = '2' <table_name> : table \begin{tabular}{llllll} \toprule & year & derby winner & galaxy & draw & chivas \\ \midrule 0 & 2005 & galaxy & 5 & 0 & 0 \\ 1 & 2006 & galaxy & 2 & 1 & 1 \\ 2 & 2007 & chivas & 1 & 1 & 2 \\ 3 & 2008 & galaxy & 1 & 2 & 0 \\ 4 & 2009 & galaxy & 3 & 2 & 0 \\ 5 & 2010 & galaxy & 2 & 0 & 0 \\ 6 & 2011 & galaxy & 2 & 0 & 0 \\ 7 & 2012 & galaxy & 2 & 0 & 1 \\ 8 & 2013 & galaxy & 2 & 1 & 0 \\ 9 & total & none & 20 & 7 & 4 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & derby winner \\ \midrule 0 & galaxy \\ \bottomrule \end{tabular}

select derby winner where year = 2013 and galaxy = '2' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>derby winner</th> <th>galaxy</th> <th>draw</th> <th>chivas</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2005</td> <td>galaxy</td> <td>5</td> <td>0</td> <td>0</td> </tr> <tr> <th>1</th> <td>2006</td> <td>galaxy</td> <td>2</td> <td>1</td> <td>1</td> </tr> <tr> <th>2</th> <td>2007</td> <td>chivas</td> <td>1</td> <td>1</td> <td>2</td> </tr> <tr> <th>3</th> <td>2008</td> <td>galaxy</td> <td>1</td> <td>2</td> <td>0</td> </tr> <tr> <th>4</th> <td>2009</td> <td>galaxy</td> <td>3</td> <td>2</td> <td>0</td> </tr> <tr> <th>5</th> <td>2010</td> <td>galaxy</td> <td>2</td> <td>0</td> <td>0</td> </tr> <tr> <th>6</th> <td>2011</td> <td>galaxy</td> <td>2</td> <td>0</td> <td>0</td> </tr> <tr> <th>7</th> <td>2012</td> <td>galaxy</td> <td>2</td> <td>0</td> <td>1</td> </tr> <tr> <th>8</th> <td>2013</td> <td>galaxy</td> <td>2</td> <td>1</td> <td>0</td> </tr> <tr> <th>9</th> <td>total</td> <td>none</td> <td>20</td> <td>7</td> <td>4</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>derby winner</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>galaxy</td> </tr> </tbody> </table>

select derby winner where year = 2013 and galaxy = '2' <table_name> : table | | year | derby winner | galaxy | draw | chivas | |---:|:-------|:---------------|---------:|-------:|---------:| | 0 | 2005 | galaxy | 5 | 0 | 0 | | 1 | 2006 | galaxy | 2 | 1 | 1 | | 2 | 2007 | chivas | 1 | 1 | 2 | | 3 | 2008 | galaxy | 1 | 2 | 0 | | 4 | 2009 | galaxy | 3 | 2 | 0 | | 5 | 2010 | galaxy | 2 | 0 | 0 | | 6 | 2011 | galaxy | 2 | 0 | 0 | | 7 | 2012 | galaxy | 2 | 0 | 1 | | 8 | 2013 | galaxy | 2 | 1 | 0 | | 9 | total | none | 20 | 7 | 4 |

| | derby winner | |---:|:---------------| | 0 | galaxy |

select count ( position ) where position = '2nd' col : season | level | division | section | position | movements row 1 : 1960 | tier 4 | division 4 | halsingland | 3rd | none row 2 : 1961 | tier 4 | division 4 | halsingland | 2nd | none row 3 : 1962 | tier 4 | division 4 | halsingland | 1st | promoted row 4 : 1963 | tier 3 | division 3 | sodra norrland | 6th | none row 5 : 1964 | tier 3 | division 3 | sodra norrland nedre | 4th | none row 6 : 1965 | tier 3 | division 3 | sodra norrland nedre | 10th | relegated row 7 : 1966 | tier 4 | division 4 | halsingland | 9th | none row 8 : 1967 | tier 4 | division 4 | halsingland | 2nd | none row 9 : 1968 | tier 4 | division 4 | halsingland | 6th | none row 10 : 1969 | tier 4 | division 4 | halsingland | 3rd | none row 11 : 1970 | tier 4 | division 4 | halsingland | 2nd | none row 12 : 1971 | tier 4 | division 4 | halsingland | 1st | promotion playoffs - promoted row 13 : 1972 | tier 3 | division 3 | norra svealand | 6th | none row 14 : 1973 | tier 3 | division 3 | norra svealand | 11th | relegated row 15 : 1974 | tier 4 | division 4 | halsingland | 1st | promoted row 16 : 1975 | tier 3 | division 3 | sodra norrland | 9th | none row 17 : 1976 | tier 3 | division 3 | sodra norrland | 9th | none row 18 : 1977 | tier 3 | division 3 | sodra norrland | 9th | none row 19 : 1978 | tier 3 | division 3 | sodra norrland | 6th | none row 20 : 1979 | tier 3 | division 3 | sodra norrland | 9th | none row 21 : 1980 | tier 3 | division 3 | sodra norrland | 7th | none row 22 : 1981 | tier 3 | division 3 | sodra norrland | 9th | none row 23 : 1982 | tier 3 | division 3 | sodra norrland | 12th | relegated row 24 : 1982 | tier 4 | division 4 | halsingland | 3rd | none

col : count ( "position" ) row 1 : 3

select count ( position ) where position = '2nd' <table_name> : table \begin{tabular}{lllllll} \toprule & season & level & division & section & position & movements \\ \midrule 0 & 1960 & tier 4 & division 4 & halsingland & 3rd & none \\ 1 & 1961 & tier 4 & division 4 & halsingland & 2nd & none \\ 2 & 1962 & tier 4 & division 4 & halsingland & 1st & promoted \\ 3 & 1963 & tier 3 & division 3 & sodra norrland & 6th & none \\ 4 & 1964 & tier 3 & division 3 & sodra norrland nedre & 4th & none \\ 5 & 1965 & tier 3 & division 3 & sodra norrland nedre & 10th & relegated \\ 6 & 1966 & tier 4 & division 4 & halsingland & 9th & none \\ 7 & 1967 & tier 4 & division 4 & halsingland & 2nd & none \\ 8 & 1968 & tier 4 & division 4 & halsingland & 6th & none \\ 9 & 1969 & tier 4 & division 4 & halsingland & 3rd & none \\ 10 & 1970 & tier 4 & division 4 & halsingland & 2nd & none \\ 11 & 1971 & tier 4 & division 4 & halsingland & 1st & promotion playoffs - promoted \\ 12 & 1972 & tier 3 & division 3 & norra svealand & 6th & none \\ 13 & 1973 & tier 3 & division 3 & norra svealand & 11th & relegated \\ 14 & 1974 & tier 4 & division 4 & halsingland & 1st & promoted \\ 15 & 1975 & tier 3 & division 3 & sodra norrland & 9th & none \\ 16 & 1976 & tier 3 & division 3 & sodra norrland & 9th & none \\ 17 & 1977 & tier 3 & division 3 & sodra norrland & 9th & none \\ 18 & 1978 & tier 3 & division 3 & sodra norrland & 6th & none \\ 19 & 1979 & tier 3 & division 3 & sodra norrland & 9th & none \\ 20 & 1980 & tier 3 & division 3 & sodra norrland & 7th & none \\ 21 & 1981 & tier 3 & division 3 & sodra norrland & 9th & none \\ 22 & 1982 & tier 3 & division 3 & sodra norrland & 12th & relegated \\ 23 & 1982 & tier 4 & division 4 & halsingland & 3rd & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "position" ) \\ \midrule 0 & 3 \\ \bottomrule \end{tabular}

select count ( position ) where position = '2nd' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>season</th> <th>level</th> <th>division</th> <th>section</th> <th>position</th> <th>movements</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1960</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>3rd</td> <td>none</td> </tr> <tr> <th>1</th> <td>1961</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>2nd</td> <td>none</td> </tr> <tr> <th>2</th> <td>1962</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>1st</td> <td>promoted</td> </tr> <tr> <th>3</th> <td>1963</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland</td> <td>6th</td> <td>none</td> </tr> <tr> <th>4</th> <td>1964</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland nedre</td> <td>4th</td> <td>none</td> </tr> <tr> <th>5</th> <td>1965</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland nedre</td> <td>10th</td> <td>relegated</td> </tr> <tr> <th>6</th> <td>1966</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>9th</td> <td>none</td> </tr> <tr> <th>7</th> <td>1967</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>2nd</td> <td>none</td> </tr> <tr> <th>8</th> <td>1968</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>6th</td> <td>none</td> </tr> <tr> <th>9</th> <td>1969</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>3rd</td> <td>none</td> </tr> <tr> <th>10</th> <td>1970</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>2nd</td> <td>none</td> </tr> <tr> <th>11</th> <td>1971</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>1st</td> <td>promotion playoffs - promoted</td> </tr> <tr> <th>12</th> <td>1972</td> <td>tier 3</td> <td>division 3</td> <td>norra svealand</td> <td>6th</td> <td>none</td> </tr> <tr> <th>13</th> <td>1973</td> <td>tier 3</td> <td>division 3</td> <td>norra svealand</td> <td>11th</td> <td>relegated</td> </tr> <tr> <th>14</th> <td>1974</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>1st</td> <td>promoted</td> </tr> <tr> <th>15</th> <td>1975</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland</td> <td>9th</td> <td>none</td> </tr> <tr> <th>16</th> <td>1976</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland</td> <td>9th</td> <td>none</td> </tr> <tr> <th>17</th> <td>1977</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland</td> <td>9th</td> <td>none</td> </tr> <tr> <th>18</th> <td>1978</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland</td> <td>6th</td> <td>none</td> </tr> <tr> <th>19</th> <td>1979</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland</td> <td>9th</td> <td>none</td> </tr> <tr> <th>20</th> <td>1980</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland</td> <td>7th</td> <td>none</td> </tr> <tr> <th>21</th> <td>1981</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland</td> <td>9th</td> <td>none</td> </tr> <tr> <th>22</th> <td>1982</td> <td>tier 3</td> <td>division 3</td> <td>sodra norrland</td> <td>12th</td> <td>relegated</td> </tr> <tr> <th>23</th> <td>1982</td> <td>tier 4</td> <td>division 4</td> <td>halsingland</td> <td>3rd</td> <td>none</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "position" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>3</td> </tr> </tbody> </table>

select count ( position ) where position = '2nd' <table_name> : table | | season | level | division | section | position | movements | |---:|---------:|:--------|:-----------|:---------------------|:-----------|:------------------------------| | 0 | 1960 | tier 4 | division 4 | halsingland | 3rd | none | | 1 | 1961 | tier 4 | division 4 | halsingland | 2nd | none | | 2 | 1962 | tier 4 | division 4 | halsingland | 1st | promoted | | 3 | 1963 | tier 3 | division 3 | sodra norrland | 6th | none | | 4 | 1964 | tier 3 | division 3 | sodra norrland nedre | 4th | none | | 5 | 1965 | tier 3 | division 3 | sodra norrland nedre | 10th | relegated | | 6 | 1966 | tier 4 | division 4 | halsingland | 9th | none | | 7 | 1967 | tier 4 | division 4 | halsingland | 2nd | none | | 8 | 1968 | tier 4 | division 4 | halsingland | 6th | none | | 9 | 1969 | tier 4 | division 4 | halsingland | 3rd | none | | 10 | 1970 | tier 4 | division 4 | halsingland | 2nd | none | | 11 | 1971 | tier 4 | division 4 | halsingland | 1st | promotion playoffs - promoted | | 12 | 1972 | tier 3 | division 3 | norra svealand | 6th | none | | 13 | 1973 | tier 3 | division 3 | norra svealand | 11th | relegated | | 14 | 1974 | tier 4 | division 4 | halsingland | 1st | promoted | | 15 | 1975 | tier 3 | division 3 | sodra norrland | 9th | none | | 16 | 1976 | tier 3 | division 3 | sodra norrland | 9th | none | | 17 | 1977 | tier 3 | division 3 | sodra norrland | 9th | none | | 18 | 1978 | tier 3 | division 3 | sodra norrland | 6th | none | | 19 | 1979 | tier 3 | division 3 | sodra norrland | 9th | none | | 20 | 1980 | tier 3 | division 3 | sodra norrland | 7th | none | | 21 | 1981 | tier 3 | division 3 | sodra norrland | 9th | none | | 22 | 1982 | tier 3 | division 3 | sodra norrland | 12th | relegated | | 23 | 1982 | tier 4 | division 4 | halsingland | 3rd | none |

| | count ( "position" ) | |---:|-----------------------:| | 0 | 3 |

select rank - rank + 1 where q = 'fa' col : rank | athlete | time | notes | q row 1 : 1 | habtamu fayisa (eth) | 5:38.62 | pb | fa row 2 : 2 | peter matheka mutuku (ken) | 5:38.72 | pb | fa row 3 : 3 | zakaria kiprotich (uga) | 5:44.51 | pb | fa row 4 : 4 | waleed elayah (yem) | 5:51.58 | pb | fa row 5 : 5 | bilal tabti (alg) | 5:56.21 | pb | fa row 6 : 6 | yousif daifalla (sud) | 5:56.46 | pb | fa row 7 : 7 | salem attiatalla (egy) | 6:03.41 | none | fa row 8 : 8 | daniel wong (usa) | 6:05.92 | pb | fa row 9 : 9 | david morcillo (esp) | 6:10.90 | none | fb row 10 : 10 | laurentiu rosu (rou) | 6:12.77 | none | fb row 11 : 11 | grant gwynne (aus) | 6:16.83 | none | fb row 12 : 12 | ioran etchechury (bra) | 6:39.87 | none | fb row 13 : 13 | bacem salhi (tun) | 6:43.17 | none | fb row 14 : none | ahmed burhan (ksa) | dsq | none | fb row 15 : none | zak seddon (gbr) | dsq | none | fb

col : "rank - rank + 1" row 1 : rank - rank + 1 row 2 : rank - rank + 1 row 3 : rank - rank + 1 row 4 : rank - rank + 1 row 5 : rank - rank + 1 row 6 : rank - rank + 1 row 7 : rank - rank + 1 row 8 : rank - rank + 1

select rank - rank + 1 where q = 'fa' <table_name> : table \begin{tabular}{llllll} \toprule & rank & athlete & time & notes & q \\ \midrule 0 & 1 & habtamu fayisa (eth) & 5:38.62 & pb & fa \\ 1 & 2 & peter matheka mutuku (ken) & 5:38.72 & pb & fa \\ 2 & 3 & zakaria kiprotich (uga) & 5:44.51 & pb & fa \\ 3 & 4 & waleed elayah (yem) & 5:51.58 & pb & fa \\ 4 & 5 & bilal tabti (alg) & 5:56.21 & pb & fa \\ 5 & 6 & yousif daifalla (sud) & 5:56.46 & pb & fa \\ 6 & 7 & salem attiatalla (egy) & 6:03.41 & none & fa \\ 7 & 8 & daniel wong (usa) & 6:05.92 & pb & fa \\ 8 & 9 & david morcillo (esp) & 6:10.90 & none & fb \\ 9 & 10 & laurentiu rosu (rou) & 6:12.77 & none & fb \\ 10 & 11 & grant gwynne (aus) & 6:16.83 & none & fb \\ 11 & 12 & ioran etchechury (bra) & 6:39.87 & none & fb \\ 12 & 13 & bacem salhi (tun) & 6:43.17 & none & fb \\ 13 & none & ahmed burhan (ksa) & dsq & none & fb \\ 14 & none & zak seddon (gbr) & dsq & none & fb \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & "rank - rank + 1" \\ \midrule 0 & rank - rank + 1 \\ 1 & rank - rank + 1 \\ 2 & rank - rank + 1 \\ 3 & rank - rank + 1 \\ 4 & rank - rank + 1 \\ 5 & rank - rank + 1 \\ 6 & rank - rank + 1 \\ 7 & rank - rank + 1 \\ \bottomrule \end{tabular}

select rank - rank + 1 where q = 'fa' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>rank</th> <th>athlete</th> <th>time</th> <th>notes</th> <th>q</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>habtamu fayisa (eth)</td> <td>5:38.62</td> <td>pb</td> <td>fa</td> </tr> <tr> <th>1</th> <td>2</td> <td>peter matheka mutuku (ken)</td> <td>5:38.72</td> <td>pb</td> <td>fa</td> </tr> <tr> <th>2</th> <td>3</td> <td>zakaria kiprotich (uga)</td> <td>5:44.51</td> <td>pb</td> <td>fa</td> </tr> <tr> <th>3</th> <td>4</td> <td>waleed elayah (yem)</td> <td>5:51.58</td> <td>pb</td> <td>fa</td> </tr> <tr> <th>4</th> <td>5</td> <td>bilal tabti (alg)</td> <td>5:56.21</td> <td>pb</td> <td>fa</td> </tr> <tr> <th>5</th> <td>6</td> <td>yousif daifalla (sud)</td> <td>5:56.46</td> <td>pb</td> <td>fa</td> </tr> <tr> <th>6</th> <td>7</td> <td>salem attiatalla (egy)</td> <td>6:03.41</td> <td>none</td> <td>fa</td> </tr> <tr> <th>7</th> <td>8</td> <td>daniel wong (usa)</td> <td>6:05.92</td> <td>pb</td> <td>fa</td> </tr> <tr> <th>8</th> <td>9</td> <td>david morcillo (esp)</td> <td>6:10.90</td> <td>none</td> <td>fb</td> </tr> <tr> <th>9</th> <td>10</td> <td>laurentiu rosu (rou)</td> <td>6:12.77</td> <td>none</td> <td>fb</td> </tr> <tr> <th>10</th> <td>11</td> <td>grant gwynne (aus)</td> <td>6:16.83</td> <td>none</td> <td>fb</td> </tr> <tr> <th>11</th> <td>12</td> <td>ioran etchechury (bra)</td> <td>6:39.87</td> <td>none</td> <td>fb</td> </tr> <tr> <th>12</th> <td>13</td> <td>bacem salhi (tun)</td> <td>6:43.17</td> <td>none</td> <td>fb</td> </tr> <tr> <th>13</th> <td>none</td> <td>ahmed burhan (ksa)</td> <td>dsq</td> <td>none</td> <td>fb</td> </tr> <tr> <th>14</th> <td>none</td> <td>zak seddon (gbr)</td> <td>dsq</td> <td>none</td> <td>fb</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>"rank - rank + 1"</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>rank - rank + 1</td> </tr> <tr> <th>1</th> <td>rank - rank + 1</td> </tr> <tr> <th>2</th> <td>rank - rank + 1</td> </tr> <tr> <th>3</th> <td>rank - rank + 1</td> </tr> <tr> <th>4</th> <td>rank - rank + 1</td> </tr> <tr> <th>5</th> <td>rank - rank + 1</td> </tr> <tr> <th>6</th> <td>rank - rank + 1</td> </tr> <tr> <th>7</th> <td>rank - rank + 1</td> </tr> </tbody> </table>

select rank - rank + 1 where q = 'fa' <table_name> : table | | rank | athlete | time | notes | q | |---:|:-------|:---------------------------|:--------|:--------|:----| | 0 | 1 | habtamu fayisa (eth) | 5:38.62 | pb | fa | | 1 | 2 | peter matheka mutuku (ken) | 5:38.72 | pb | fa | | 2 | 3 | zakaria kiprotich (uga) | 5:44.51 | pb | fa | | 3 | 4 | waleed elayah (yem) | 5:51.58 | pb | fa | | 4 | 5 | bilal tabti (alg) | 5:56.21 | pb | fa | | 5 | 6 | yousif daifalla (sud) | 5:56.46 | pb | fa | | 6 | 7 | salem attiatalla (egy) | 6:03.41 | none | fa | | 7 | 8 | daniel wong (usa) | 6:05.92 | pb | fa | | 8 | 9 | david morcillo (esp) | 6:10.90 | none | fb | | 9 | 10 | laurentiu rosu (rou) | 6:12.77 | none | fb | | 10 | 11 | grant gwynne (aus) | 6:16.83 | none | fb | | 11 | 12 | ioran etchechury (bra) | 6:39.87 | none | fb | | 12 | 13 | bacem salhi (tun) | 6:43.17 | none | fb | | 13 | none | ahmed burhan (ksa) | dsq | none | fb | | 14 | none | zak seddon (gbr) | dsq | none | fb |

| | "rank - rank + 1" | |---:|:--------------------| | 0 | rank - rank + 1 | | 1 | rank - rank + 1 | | 2 | rank - rank + 1 | | 3 | rank - rank + 1 | | 4 | rank - rank + 1 | | 5 | rank - rank + 1 | | 6 | rank - rank + 1 | | 7 | rank - rank + 1 |

select count ( * ) where percentage = 1 col : candidate | votes | percentage | counties | delegates row 1 : john mccain | 701761 | 36% | 45 | 57 row 2 : mitt romney | 604932 | 31.03% | 18 | 0 row 3 : rudy giuliani | 286089 | 14.68% | 0 | 0 row 4 : mike huckabee | 262681 | 13.47% | 4 | 0 row 5 : ron paul | 62887 | 3.23% | 0 | 0 row 6 : fred thompson | 22668 | 1.16% | 0 | 0 row 7 : alan keyes | 4060 | 0.21% | 0 | 0 row 8 : duncan hunter | 2847 | 0.15% | 0 | 0 row 9 : tom tancredo | 1573 | 0.08% | 0 | 0 row 10 : totals | 1949498 | 100% | 67 | 57

col : count ( "*" ) row 1 : 0

select count ( * ) where percentage = 1 <table_name> : table \begin{tabular}{llllll} \toprule & candidate & votes & percentage & counties & delegates \\ \midrule 0 & john mccain & 701761 & 36% & 45 & 57 \\ 1 & mitt romney & 604932 & 31.03% & 18 & 0 \\ 2 & rudy giuliani & 286089 & 14.68% & 0 & 0 \\ 3 & mike huckabee & 262681 & 13.47% & 4 & 0 \\ 4 & ron paul & 62887 & 3.23% & 0 & 0 \\ 5 & fred thompson & 22668 & 1.16% & 0 & 0 \\ 6 & alan keyes & 4060 & 0.21% & 0 & 0 \\ 7 & duncan hunter & 2847 & 0.15% & 0 & 0 \\ 8 & tom tancredo & 1573 & 0.08% & 0 & 0 \\ 9 & totals & 1949498 & 100% & 67 & 57 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 0 \\ \bottomrule \end{tabular}

select count ( * ) where percentage = 1 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>candidate</th> <th>votes</th> <th>percentage</th> <th>counties</th> <th>delegates</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>john mccain</td> <td>701761</td> <td>36%</td> <td>45</td> <td>57</td> </tr> <tr> <th>1</th> <td>mitt romney</td> <td>604932</td> <td>31.03%</td> <td>18</td> <td>0</td> </tr> <tr> <th>2</th> <td>rudy giuliani</td> <td>286089</td> <td>14.68%</td> <td>0</td> <td>0</td> </tr> <tr> <th>3</th> <td>mike huckabee</td> <td>262681</td> <td>13.47%</td> <td>4</td> <td>0</td> </tr> <tr> <th>4</th> <td>ron paul</td> <td>62887</td> <td>3.23%</td> <td>0</td> <td>0</td> </tr> <tr> <th>5</th> <td>fred thompson</td> <td>22668</td> <td>1.16%</td> <td>0</td> <td>0</td> </tr> <tr> <th>6</th> <td>alan keyes</td> <td>4060</td> <td>0.21%</td> <td>0</td> <td>0</td> </tr> <tr> <th>7</th> <td>duncan hunter</td> <td>2847</td> <td>0.15%</td> <td>0</td> <td>0</td> </tr> <tr> <th>8</th> <td>tom tancredo</td> <td>1573</td> <td>0.08%</td> <td>0</td> <td>0</td> </tr> <tr> <th>9</th> <td>totals</td> <td>1949498</td> <td>100%</td> <td>67</td> <td>57</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 percentage = 1 <table_name> : table | | candidate | votes | percentage | counties | delegates | |---:|:--------------|--------:|:-------------|-----------:|------------:| | 0 | john mccain | 701761 | 36% | 45 | 57 | | 1 | mitt romney | 604932 | 31.03% | 18 | 0 | | 2 | rudy giuliani | 286089 | 14.68% | 0 | 0 | | 3 | mike huckabee | 262681 | 13.47% | 4 | 0 | | 4 | ron paul | 62887 | 3.23% | 0 | 0 | | 5 | fred thompson | 22668 | 1.16% | 0 | 0 | | 6 | alan keyes | 4060 | 0.21% | 0 | 0 | | 7 | duncan hunter | 2847 | 0.15% | 0 | 0 | | 8 | tom tancredo | 1573 | 0.08% | 0 | 0 | | 9 | totals | 1949498 | 100% | 67 | 57 |

| | count ( "*" ) | |---:|----------------:| | 0 | 0 |

select pick # where nfl team = 'baltimore colts (lottery bonus pick)' col : pick # | nfl team | player | position | college row 1 : 1 | baltimore colts (lottery bonus pick) | george shaw | quarterback | oregon row 2 : 2 | chicago cardinals | max boydston | end | oklahoma row 3 : 3 | baltimore colts | alan ameche | fullback | wisconsin row 4 : 4 | washington redskins | ralph guglielmi | quarterback | notre dame row 5 : 5 | green bay packers | tom bettis | guard | purdue row 6 : 6 | pittsburgh steelers | frank varrichione | tackle | notre dame row 7 : 7 | los angeles rams | larry morris | center | georgia tech row 8 : 8 | new york giants | joe heap | halfback | notre dame row 9 : 9 | philadelphia eagles | dick bielski | fullback | maryland row 10 : 10 | san francisco 49ers | dickey moegle | halfback | rice row 11 : 11 | chicago bears | ron drzewiecki | halfback | marquette row 12 : 12 | detroit lions | dave middleton | halfback | auburn row 13 : 13 | cleveland browns | kurt burris | center | oklahoma

col : pick # row 1 : 1

select pick # where nfl team = 'baltimore colts (lottery bonus pick)' <table_name> : table \begin{tabular}{llllll} \toprule & pick # & nfl team & player & position & college \\ \midrule 0 & 1 & baltimore colts (lottery bonus pick) & george shaw & quarterback & oregon \\ 1 & 2 & chicago cardinals & max boydston & end & oklahoma \\ 2 & 3 & baltimore colts & alan ameche & fullback & wisconsin \\ 3 & 4 & washington redskins & ralph guglielmi & quarterback & notre dame \\ 4 & 5 & green bay packers & tom bettis & guard & purdue \\ 5 & 6 & pittsburgh steelers & frank varrichione & tackle & notre dame \\ 6 & 7 & los angeles rams & larry morris & center & georgia tech \\ 7 & 8 & new york giants & joe heap & halfback & notre dame \\ 8 & 9 & philadelphia eagles & dick bielski & fullback & maryland \\ 9 & 10 & san francisco 49ers & dickey moegle & halfback & rice \\ 10 & 11 & chicago bears & ron drzewiecki & halfback & marquette \\ 11 & 12 & detroit lions & dave middleton & halfback & auburn \\ 12 & 13 & cleveland browns & kurt burris & center & oklahoma \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & pick # \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select pick # where nfl team = 'baltimore colts (lottery bonus pick)' <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>1</td> <td>baltimore colts (lottery bonus pick)</td> <td>george shaw</td> <td>quarterback</td> <td>oregon</td> </tr> <tr> <th>1</th> <td>2</td> <td>chicago cardinals</td> <td>max boydston</td> <td>end</td> <td>oklahoma</td> </tr> <tr> <th>2</th> <td>3</td> <td>baltimore colts</td> <td>alan ameche</td> <td>fullback</td> <td>wisconsin</td> </tr> <tr> <th>3</th> <td>4</td> <td>washington redskins</td> <td>ralph guglielmi</td> <td>quarterback</td> <td>notre dame</td> </tr> <tr> <th>4</th> <td>5</td> <td>green bay packers</td> <td>tom bettis</td> <td>guard</td> <td>purdue</td> </tr> <tr> <th>5</th> <td>6</td> <td>pittsburgh steelers</td> <td>frank varrichione</td> <td>tackle</td> <td>notre dame</td> </tr> <tr> <th>6</th> <td>7</td> <td>los angeles rams</td> <td>larry morris</td> <td>center</td> <td>georgia tech</td> </tr> <tr> <th>7</th> <td>8</td> <td>new york giants</td> <td>joe heap</td> <td>halfback</td> <td>notre dame</td> </tr> <tr> <th>8</th> <td>9</td> <td>philadelphia eagles</td> <td>dick bielski</td> <td>fullback</td> <td>maryland</td> </tr> <tr> <th>9</th> <td>10</td> <td>san francisco 49ers</td> <td>dickey moegle</td> <td>halfback</td> <td>rice</td> </tr> <tr> <th>10</th> <td>11</td> <td>chicago bears</td> <td>ron drzewiecki</td> <td>halfback</td> <td>marquette</td> </tr> <tr> <th>11</th> <td>12</td> <td>detroit lions</td> <td>dave middleton</td> <td>halfback</td> <td>auburn</td> </tr> <tr> <th>12</th> <td>13</td> <td>cleveland browns</td> <td>kurt burris</td> <td>center</td> <td>oklahoma</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>1</td> </tr> </tbody> </table>

select pick # where nfl team = 'baltimore colts (lottery bonus pick)' <table_name> : table | | pick # | nfl team | player | position | college | |---:|---------:|:-------------------------------------|:------------------|:------------|:-------------| | 0 | 1 | baltimore colts (lottery bonus pick) | george shaw | quarterback | oregon | | 1 | 2 | chicago cardinals | max boydston | end | oklahoma | | 2 | 3 | baltimore colts | alan ameche | fullback | wisconsin | | 3 | 4 | washington redskins | ralph guglielmi | quarterback | notre dame | | 4 | 5 | green bay packers | tom bettis | guard | purdue | | 5 | 6 | pittsburgh steelers | frank varrichione | tackle | notre dame | | 6 | 7 | los angeles rams | larry morris | center | georgia tech | | 7 | 8 | new york giants | joe heap | halfback | notre dame | | 8 | 9 | philadelphia eagles | dick bielski | fullback | maryland | | 9 | 10 | san francisco 49ers | dickey moegle | halfback | rice | | 10 | 11 | chicago bears | ron drzewiecki | halfback | marquette | | 11 | 12 | detroit lions | dave middleton | halfback | auburn | | 12 | 13 | cleveland browns | kurt burris | center | oklahoma |

| | pick # | |---:|---------:| | 0 | 1 |

select # where opponent = 'puerto rico' col : # | date | venue | opponent | score | result | competition row 1 : 1 | 2006-09-29 00:00:00 | lionel roberts park, charlotte amalie | bermuda | 1-3 | 1-3 | 2007 caribbean cup qualifier row 2 : 2 | 2006-10-01 00:00:00 | lionel roberts park, charlotte amalie | u.s. virgin islands | 2-1 | 6-1 | 2007 caribbean cup qualifier row 3 : 3 | 2006-10-01 00:00:00 | lionel roberts park, charlotte amalie | u.s. virgin islands | 3-1 | 6-1 | 2007 caribbean cup qualifier row 4 : 4 | 2006-10-01 00:00:00 | lionel roberts park, charlotte amalie | u.s. virgin islands | 4-1 | 6-1 | 2007 caribbean cup qualifier row 5 : 5 | 2006-10-01 00:00:00 | lionel roberts park, charlotte amalie | u.s. virgin islands | 5-1 | 6-1 | 2007 caribbean cup qualifier row 6 : 6 | 2011-07-08 00:00:00 | estadio panamericano, san cristobal | anguilla | 2-0 | 2-0 | 2014 fifa world cup qualifier row 7 : 7 | 2011-07-10 00:00:00 | estadio panamericano, san cristobal | anguilla | 4-0 | 4-0 | 2014 fifa world cup qualifier row 8 : 8 | 2011-10-11 00:00:00 | andre kamperveen stadion, paramaribo | suriname | 1-0 | 3-1 | 2014 fifa world cup qualifier row 9 : 9 | 2012-09-27 00:00:00 | kensington oval, bridgetown | dominica | 1-1 | 2-1 | 2012 caribbean cup qualifier row 10 : 10 | 2012-09-27 00:00:00 | kensington oval, bridgetown | dominica | 2-1 | 2-1 | 2012 caribbean cup qualifier row 11 : 11 | 2012-10-23 00:00:00 | stade rene serge nabajoth, les abymes | guadeloupe | 1-0 | 2-0 | 2012 caribbean cup qualifier row 12 : 12 | 2012-10-23 00:00:00 | stade rene serge nabajoth, les abymes | guadeloupe | 2-0 | 2-0 | 2012 caribbean cup qualifier row 13 : 13 | 2012-10-27 00:00:00 | stade rene serge nabajoth, les abymes | puerto rico | 1-0 | 3-1 | 2012 caribbean cup qualifier row 14 : 14 | 2012-10-27 00:00:00 | stade rene serge nabajoth, les abymes | puerto rico | 2-0 | 3-1 | 2012 caribbean cup qualifier row 15 : 15 | 2012-12-07 00:00:00 | antigua recreation ground, st.john's | antigua and barbuda | 2-1 | 2-1 | 2012 caribbean cup row 16 : 16 | 2013-03-24 00:00:00 | estadio panamericano, san cristobal | haiti | 2-0 | 3-1 | friendly

col : # row 1 : 13 row 2 : 14

select # where opponent = 'puerto rico' <table_name> : table \begin{tabular}{llllllll} \toprule & # & date & venue & opponent & score & result & competition \\ \midrule 0 & 1 & 2006-09-29 00:00:00 & lionel roberts park, charlotte amalie & bermuda & 1-3 & 1-3 & 2007 caribbean cup qualifier \\ 1 & 2 & 2006-10-01 00:00:00 & lionel roberts park, charlotte amalie & u.s. virgin islands & 2-1 & 6-1 & 2007 caribbean cup qualifier \\ 2 & 3 & 2006-10-01 00:00:00 & lionel roberts park, charlotte amalie & u.s. virgin islands & 3-1 & 6-1 & 2007 caribbean cup qualifier \\ 3 & 4 & 2006-10-01 00:00:00 & lionel roberts park, charlotte amalie & u.s. virgin islands & 4-1 & 6-1 & 2007 caribbean cup qualifier \\ 4 & 5 & 2006-10-01 00:00:00 & lionel roberts park, charlotte amalie & u.s. virgin islands & 5-1 & 6-1 & 2007 caribbean cup qualifier \\ 5 & 6 & 2011-07-08 00:00:00 & estadio panamericano, san cristobal & anguilla & 2-0 & 2-0 & 2014 fifa world cup qualifier \\ 6 & 7 & 2011-07-10 00:00:00 & estadio panamericano, san cristobal & anguilla & 4-0 & 4-0 & 2014 fifa world cup qualifier \\ 7 & 8 & 2011-10-11 00:00:00 & andre kamperveen stadion, paramaribo & suriname & 1-0 & 3-1 & 2014 fifa world cup qualifier \\ 8 & 9 & 2012-09-27 00:00:00 & kensington oval, bridgetown & dominica & 1-1 & 2-1 & 2012 caribbean cup qualifier \\ 9 & 10 & 2012-09-27 00:00:00 & kensington oval, bridgetown & dominica & 2-1 & 2-1 & 2012 caribbean cup qualifier \\ 10 & 11 & 2012-10-23 00:00:00 & stade rene serge nabajoth, les abymes & guadeloupe & 1-0 & 2-0 & 2012 caribbean cup qualifier \\ 11 & 12 & 2012-10-23 00:00:00 & stade rene serge nabajoth, les abymes & guadeloupe & 2-0 & 2-0 & 2012 caribbean cup qualifier \\ 12 & 13 & 2012-10-27 00:00:00 & stade rene serge nabajoth, les abymes & puerto rico & 1-0 & 3-1 & 2012 caribbean cup qualifier \\ 13 & 14 & 2012-10-27 00:00:00 & stade rene serge nabajoth, les abymes & puerto rico & 2-0 & 3-1 & 2012 caribbean cup qualifier \\ 14 & 15 & 2012-12-07 00:00:00 & antigua recreation ground, st.john's & antigua and barbuda & 2-1 & 2-1 & 2012 caribbean cup \\ 15 & 16 & 2013-03-24 00:00:00 & estadio panamericano, san cristobal & haiti & 2-0 & 3-1 & friendly \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & # \\ \midrule 0 & 13 \\ 1 & 14 \\ \bottomrule \end{tabular}

select # where opponent = 'puerto rico' <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>2006-09-29 00:00:00</td> <td>lionel roberts park, charlotte amalie</td> <td>bermuda</td> <td>1-3</td> <td>1-3</td> <td>2007 caribbean cup qualifier</td> </tr> <tr> <th>1</th> <td>2</td> <td>2006-10-01 00:00:00</td> <td>lionel roberts park, charlotte amalie</td> <td>u.s. virgin islands</td> <td>2-1</td> <td>6-1</td> <td>2007 caribbean cup qualifier</td> </tr> <tr> <th>2</th> <td>3</td> <td>2006-10-01 00:00:00</td> <td>lionel roberts park, charlotte amalie</td> <td>u.s. virgin islands</td> <td>3-1</td> <td>6-1</td> <td>2007 caribbean cup qualifier</td> </tr> <tr> <th>3</th> <td>4</td> <td>2006-10-01 00:00:00</td> <td>lionel roberts park, charlotte amalie</td> <td>u.s. virgin islands</td> <td>4-1</td> <td>6-1</td> <td>2007 caribbean cup qualifier</td> </tr> <tr> <th>4</th> <td>5</td> <td>2006-10-01 00:00:00</td> <td>lionel roberts park, charlotte amalie</td> <td>u.s. virgin islands</td> <td>5-1</td> <td>6-1</td> <td>2007 caribbean cup qualifier</td> </tr> <tr> <th>5</th> <td>6</td> <td>2011-07-08 00:00:00</td> <td>estadio panamericano, san cristobal</td> <td>anguilla</td> <td>2-0</td> <td>2-0</td> <td>2014 fifa world cup qualifier</td> </tr> <tr> <th>6</th> <td>7</td> <td>2011-07-10 00:00:00</td> <td>estadio panamericano, san cristobal</td> <td>anguilla</td> <td>4-0</td> <td>4-0</td> <td>2014 fifa world cup qualifier</td> </tr> <tr> <th>7</th> <td>8</td> <td>2011-10-11 00:00:00</td> <td>andre kamperveen stadion, paramaribo</td> <td>suriname</td> <td>1-0</td> <td>3-1</td> <td>2014 fifa world cup qualifier</td> </tr> <tr> <th>8</th> <td>9</td> <td>2012-09-27 00:00:00</td> <td>kensington oval, bridgetown</td> <td>dominica</td> <td>1-1</td> <td>2-1</td> <td>2012 caribbean cup qualifier</td> </tr> <tr> <th>9</th> <td>10</td> <td>2012-09-27 00:00:00</td> <td>kensington oval, bridgetown</td> <td>dominica</td> <td>2-1</td> <td>2-1</td> <td>2012 caribbean cup qualifier</td> </tr> <tr> <th>10</th> <td>11</td> <td>2012-10-23 00:00:00</td> <td>stade rene serge nabajoth, les abymes</td> <td>guadeloupe</td> <td>1-0</td> <td>2-0</td> <td>2012 caribbean cup qualifier</td> </tr> <tr> <th>11</th> <td>12</td> <td>2012-10-23 00:00:00</td> <td>stade rene serge nabajoth, les abymes</td> <td>guadeloupe</td> <td>2-0</td> <td>2-0</td> <td>2012 caribbean cup qualifier</td> </tr> <tr> <th>12</th> <td>13</td> <td>2012-10-27 00:00:00</td> <td>stade rene serge nabajoth, les abymes</td> <td>puerto rico</td> <td>1-0</td> <td>3-1</td> <td>2012 caribbean cup qualifier</td> </tr> <tr> <th>13</th> <td>14</td> <td>2012-10-27 00:00:00</td> <td>stade rene serge nabajoth, les abymes</td> <td>puerto rico</td> <td>2-0</td> <td>3-1</td> <td>2012 caribbean cup qualifier</td> </tr> <tr> <th>14</th> <td>15</td> <td>2012-12-07 00:00:00</td> <td>antigua recreation ground, st.john's</td> <td>antigua and barbuda</td> <td>2-1</td> <td>2-1</td> <td>2012 caribbean cup</td> </tr> <tr> <th>15</th> <td>16</td> <td>2013-03-24 00:00:00</td> <td>estadio panamericano, san cristobal</td> <td>haiti</td> <td>2-0</td> <td>3-1</td> <td>friendly</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>13</td> </tr> <tr> <th>1</th> <td>14</td> </tr> </tbody> </table>

select # where opponent = 'puerto rico' <table_name> : table | | # | date | venue | opponent | score | result | competition | |---:|----:|:--------------------|:--------------------------------------|:--------------------|:--------|:---------|:------------------------------| | 0 | 1 | 2006-09-29 00:00:00 | lionel roberts park, charlotte amalie | bermuda | 1-3 | 1-3 | 2007 caribbean cup qualifier | | 1 | 2 | 2006-10-01 00:00:00 | lionel roberts park, charlotte amalie | u.s. virgin islands | 2-1 | 6-1 | 2007 caribbean cup qualifier | | 2 | 3 | 2006-10-01 00:00:00 | lionel roberts park, charlotte amalie | u.s. virgin islands | 3-1 | 6-1 | 2007 caribbean cup qualifier | | 3 | 4 | 2006-10-01 00:00:00 | lionel roberts park, charlotte amalie | u.s. virgin islands | 4-1 | 6-1 | 2007 caribbean cup qualifier | | 4 | 5 | 2006-10-01 00:00:00 | lionel roberts park, charlotte amalie | u.s. virgin islands | 5-1 | 6-1 | 2007 caribbean cup qualifier | | 5 | 6 | 2011-07-08 00:00:00 | estadio panamericano, san cristobal | anguilla | 2-0 | 2-0 | 2014 fifa world cup qualifier | | 6 | 7 | 2011-07-10 00:00:00 | estadio panamericano, san cristobal | anguilla | 4-0 | 4-0 | 2014 fifa world cup qualifier | | 7 | 8 | 2011-10-11 00:00:00 | andre kamperveen stadion, paramaribo | suriname | 1-0 | 3-1 | 2014 fifa world cup qualifier | | 8 | 9 | 2012-09-27 00:00:00 | kensington oval, bridgetown | dominica | 1-1 | 2-1 | 2012 caribbean cup qualifier | | 9 | 10 | 2012-09-27 00:00:00 | kensington oval, bridgetown | dominica | 2-1 | 2-1 | 2012 caribbean cup qualifier | | 10 | 11 | 2012-10-23 00:00:00 | stade rene serge nabajoth, les abymes | guadeloupe | 1-0 | 2-0 | 2012 caribbean cup qualifier | | 11 | 12 | 2012-10-23 00:00:00 | stade rene serge nabajoth, les abymes | guadeloupe | 2-0 | 2-0 | 2012 caribbean cup qualifier | | 12 | 13 | 2012-10-27 00:00:00 | stade rene serge nabajoth, les abymes | puerto rico | 1-0 | 3-1 | 2012 caribbean cup qualifier | | 13 | 14 | 2012-10-27 00:00:00 | stade rene serge nabajoth, les abymes | puerto rico | 2-0 | 3-1 | 2012 caribbean cup qualifier | | 14 | 15 | 2012-12-07 00:00:00 | antigua recreation ground, st.john's | antigua and barbuda | 2-1 | 2-1 | 2012 caribbean cup | | 15 | 16 | 2013-03-24 00:00:00 | estadio panamericano, san cristobal | haiti | 2-0 | 3-1 | friendly |

| | # | |---:|----:| | 0 | 13 | | 1 | 14 |

select nation where nation = 'total' order by gold asc limit 1321 col : rank | nation | gold | silver | bronze | total row 1 : 1 | china (chn) | 14 | 14 | 13 | 41 row 2 : 2 | india (ind) | 7 | 6 | 4 | 17 row 3 : 3 | saudi arabia (ksa) | 7 | 1 | 0 | 8 row 4 : 4 | kazakhstan (kaz) | 3 | 4 | 5 | 12 row 5 : 5 | south korea (kor) | 3 | 2 | 1 | 6 row 6 : 6 | japan (jpn) | 2 | 13 | 8 | 23 row 7 : 7 | bahrain (brn) | 2 | 1 | 1 | 4 row 8 : 8 | sri lanka (sri) | 2 | 0 | 2 | 4 row 9 : 9 | qatar (qat) | 1 | 4 | 3 | 8 row 10 : 10 | thailand (tha) | 1 | 1 | 2 | 4 row 11 : 11 | kyrgyzstan (kgz) | 1 | 1 | 0 | 2 row 12 : 12 | kuwait (kuw) | 1 | 0 | 0 | 1 row 13 : 12 | north korea (prk) | 1 | 0 | 0 | 1 row 14 : 14 | uzbekistan (uzb) | 0 | 1 | 3 | 4 row 15 : 15 | iran (iri) | 0 | 1 | 0 | 1 row 16 : total | total | 45 | 49 | 42 | 136

col : nation row 1 : total

select nation where nation = 'total' order by gold asc limit 1321 <table_name> : table \begin{tabular}{lllllll} \toprule & rank & nation & gold & silver & bronze & total \\ \midrule 0 & 1 & china (chn) & 14 & 14 & 13 & 41 \\ 1 & 2 & india (ind) & 7 & 6 & 4 & 17 \\ 2 & 3 & saudi arabia (ksa) & 7 & 1 & 0 & 8 \\ 3 & 4 & kazakhstan (kaz) & 3 & 4 & 5 & 12 \\ 4 & 5 & south korea (kor) & 3 & 2 & 1 & 6 \\ 5 & 6 & japan (jpn) & 2 & 13 & 8 & 23 \\ 6 & 7 & bahrain (brn) & 2 & 1 & 1 & 4 \\ 7 & 8 & sri lanka (sri) & 2 & 0 & 2 & 4 \\ 8 & 9 & qatar (qat) & 1 & 4 & 3 & 8 \\ 9 & 10 & thailand (tha) & 1 & 1 & 2 & 4 \\ 10 & 11 & kyrgyzstan (kgz) & 1 & 1 & 0 & 2 \\ 11 & 12 & kuwait (kuw) & 1 & 0 & 0 & 1 \\ 12 & 12 & north korea (prk) & 1 & 0 & 0 & 1 \\ 13 & 14 & uzbekistan (uzb) & 0 & 1 & 3 & 4 \\ 14 & 15 & iran (iri) & 0 & 1 & 0 & 1 \\ 15 & total & total & 45 & 49 & 42 & 136 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & nation \\ \midrule 0 & total \\ \bottomrule \end{tabular}

select nation where nation = 'total' order by gold asc limit 1321 <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>14</td> <td>14</td> <td>13</td> <td>41</td> </tr> <tr> <th>1</th> <td>2</td> <td>india (ind)</td> <td>7</td> <td>6</td> <td>4</td> <td>17</td> </tr> <tr> <th>2</th> <td>3</td> <td>saudi arabia (ksa)</td> <td>7</td> <td>1</td> <td>0</td> <td>8</td> </tr> <tr> <th>3</th> <td>4</td> <td>kazakhstan (kaz)</td> <td>3</td> <td>4</td> <td>5</td> <td>12</td> </tr> <tr> <th>4</th> <td>5</td> <td>south korea (kor)</td> <td>3</td> <td>2</td> <td>1</td> <td>6</td> </tr> <tr> <th>5</th> <td>6</td> <td>japan (jpn)</td> <td>2</td> <td>13</td> <td>8</td> <td>23</td> </tr> <tr> <th>6</th> <td>7</td> <td>bahrain (brn)</td> <td>2</td> <td>1</td> <td>1</td> <td>4</td> </tr> <tr> <th>7</th> <td>8</td> <td>sri lanka (sri)</td> <td>2</td> <td>0</td> <td>2</td> <td>4</td> </tr> <tr> <th>8</th> <td>9</td> <td>qatar (qat)</td> <td>1</td> <td>4</td> <td>3</td> <td>8</td> </tr> <tr> <th>9</th> <td>10</td> <td>thailand (tha)</td> <td>1</td> <td>1</td> <td>2</td> <td>4</td> </tr> <tr> <th>10</th> <td>11</td> <td>kyrgyzstan (kgz)</td> <td>1</td> <td>1</td> <td>0</td> <td>2</td> </tr> <tr> <th>11</th> <td>12</td> <td>kuwait (kuw)</td> <td>1</td> <td>0</td> <td>0</td> <td>1</td> </tr> <tr> <th>12</th> <td>12</td> <td>north korea (prk)</td> <td>1</td> <td>0</td> <td>0</td> <td>1</td> </tr> <tr> <th>13</th> <td>14</td> <td>uzbekistan (uzb)</td> <td>0</td> <td>1</td> <td>3</td> <td>4</td> </tr> <tr> <th>14</th> <td>15</td> <td>iran (iri)</td> <td>0</td> <td>1</td> <td>0</td> <td>1</td> </tr> <tr> <th>15</th> <td>total</td> <td>total</td> <td>45</td> <td>49</td> <td>42</td> <td>136</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>total</td> </tr> </tbody> </table>

select nation where nation = 'total' order by gold asc limit 1321 <table_name> : table | | rank | nation | gold | silver | bronze | total | |---:|:-------|:-------------------|-------:|---------:|---------:|--------:| | 0 | 1 | china (chn) | 14 | 14 | 13 | 41 | | 1 | 2 | india (ind) | 7 | 6 | 4 | 17 | | 2 | 3 | saudi arabia (ksa) | 7 | 1 | 0 | 8 | | 3 | 4 | kazakhstan (kaz) | 3 | 4 | 5 | 12 | | 4 | 5 | south korea (kor) | 3 | 2 | 1 | 6 | | 5 | 6 | japan (jpn) | 2 | 13 | 8 | 23 | | 6 | 7 | bahrain (brn) | 2 | 1 | 1 | 4 | | 7 | 8 | sri lanka (sri) | 2 | 0 | 2 | 4 | | 8 | 9 | qatar (qat) | 1 | 4 | 3 | 8 | | 9 | 10 | thailand (tha) | 1 | 1 | 2 | 4 | | 10 | 11 | kyrgyzstan (kgz) | 1 | 1 | 0 | 2 | | 11 | 12 | kuwait (kuw) | 1 | 0 | 0 | 1 | | 12 | 12 | north korea (prk) | 1 | 0 | 0 | 1 | | 13 | 14 | uzbekistan (uzb) | 0 | 1 | 3 | 4 | | 14 | 15 | iran (iri) | 0 | 1 | 0 | 1 | | 15 | total | total | 45 | 49 | 42 | 136 |

| | nation | |---:|:---------| | 0 | total |

select open cup where division = 4 col : year | division | league | regular season | playoffs | open cup row 1 : 2004 | 4 | usl pdl | 8th, mid south | did not qualify | did not qualify row 2 : 2005 | 4 | usl pdl | 2nd, mid south | conference finals | did not qualify row 3 : 2006 | 4 | usl pdl | 1st, mid south | national final | 1st round row 4 : 2007 | 4 | usl pdl | 1st, mid south | champions | did not qualify row 5 : 2008 | 4 | usl pdl | 2nd, mid south | national final | did not qualify row 6 : 2009 | 4 | usl pdl | 1st, mid south | conference finals | did not qualify row 7 : 2010 | 4 | usl pdl | 1st, mid south | conference semi-final | did not qualify row 8 : 2011 | 4 | usl pdl | 1st, mid south | national final | did not qualify row 9 : 2012 | 4 | usl pdl | 1st, mid south | conference semi-final | 2nd round row 10 : 2013 | 4 | usl pdl | 2nd, mid south | conference finals | 2nd round

col : open cup row 1 : did not qualify row 2 : did not qualify row 3 : 1st round row 4 : did not qualify row 5 : did not qualify row 6 : did not qualify row 7 : did not qualify row 8 : did not qualify row 9 : 2nd round row 10 : 2nd round

select open cup where division = 4 <table_name> : table \begin{tabular}{lllllll} \toprule & year & division & league & regular season & playoffs & open cup \\ \midrule 0 & 2004 & 4 & usl pdl & 8th, mid south & did not qualify & did not qualify \\ 1 & 2005 & 4 & usl pdl & 2nd, mid south & conference finals & did not qualify \\ 2 & 2006 & 4 & usl pdl & 1st, mid south & national final & 1st round \\ 3 & 2007 & 4 & usl pdl & 1st, mid south & champions & did not qualify \\ 4 & 2008 & 4 & usl pdl & 2nd, mid south & national final & did not qualify \\ 5 & 2009 & 4 & usl pdl & 1st, mid south & conference finals & did not qualify \\ 6 & 2010 & 4 & usl pdl & 1st, mid south & conference semi-final & did not qualify \\ 7 & 2011 & 4 & usl pdl & 1st, mid south & national final & did not qualify \\ 8 & 2012 & 4 & usl pdl & 1st, mid south & conference semi-final & 2nd round \\ 9 & 2013 & 4 & usl pdl & 2nd, mid south & conference finals & 2nd round \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & open cup \\ \midrule 0 & did not qualify \\ 1 & did not qualify \\ 2 & 1st round \\ 3 & did not qualify \\ 4 & did not qualify \\ 5 & did not qualify \\ 6 & did not qualify \\ 7 & did not qualify \\ 8 & 2nd round \\ 9 & 2nd round \\ \bottomrule \end{tabular}

select open cup where division = 4 <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>2004</td> <td>4</td> <td>usl pdl</td> <td>8th, mid south</td> <td>did not qualify</td> <td>did not qualify</td> </tr> <tr> <th>1</th> <td>2005</td> <td>4</td> <td>usl pdl</td> <td>2nd, mid south</td> <td>conference finals</td> <td>did not qualify</td> </tr> <tr> <th>2</th> <td>2006</td> <td>4</td> <td>usl pdl</td> <td>1st, mid south</td> <td>national final</td> <td>1st round</td> </tr> <tr> <th>3</th> <td>2007</td> <td>4</td> <td>usl pdl</td> <td>1st, mid south</td> <td>champions</td> <td>did not qualify</td> </tr> <tr> <th>4</th> <td>2008</td> <td>4</td> <td>usl pdl</td> <td>2nd, mid south</td> <td>national final</td> <td>did not qualify</td> </tr> <tr> <th>5</th> <td>2009</td> <td>4</td> <td>usl pdl</td> <td>1st, mid south</td> <td>conference finals</td> <td>did not qualify</td> </tr> <tr> <th>6</th> <td>2010</td> <td>4</td> <td>usl pdl</td> <td>1st, mid south</td> <td>conference semi-final</td> <td>did not qualify</td> </tr> <tr> <th>7</th> <td>2011</td> <td>4</td> <td>usl pdl</td> <td>1st, mid south</td> <td>national final</td> <td>did not qualify</td> </tr> <tr> <th>8</th> <td>2012</td> <td>4</td> <td>usl pdl</td> <td>1st, mid south</td> <td>conference semi-final</td> <td>2nd round</td> </tr> <tr> <th>9</th> <td>2013</td> <td>4</td> <td>usl pdl</td> <td>2nd, mid south</td> <td>conference finals</td> <td>2nd round</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>open cup</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>did not qualify</td> </tr> <tr> <th>1</th> <td>did not qualify</td> </tr> <tr> <th>2</th> <td>1st round</td> </tr> <tr> <th>3</th> <td>did not qualify</td> </tr> <tr> <th>4</th> <td>did not qualify</td> </tr> <tr> <th>5</th> <td>did not qualify</td> </tr> <tr> <th>6</th> <td>did not qualify</td> </tr> <tr> <th>7</th> <td>did not qualify</td> </tr> <tr> <th>8</th> <td>2nd round</td> </tr> <tr> <th>9</th> <td>2nd round</td> </tr> </tbody> </table>

select open cup where division = 4 <table_name> : table | | year | division | league | regular season | playoffs | open cup | |---:|-------:|-----------:|:---------|:-----------------|:----------------------|:----------------| | 0 | 2004 | 4 | usl pdl | 8th, mid south | did not qualify | did not qualify | | 1 | 2005 | 4 | usl pdl | 2nd, mid south | conference finals | did not qualify | | 2 | 2006 | 4 | usl pdl | 1st, mid south | national final | 1st round | | 3 | 2007 | 4 | usl pdl | 1st, mid south | champions | did not qualify | | 4 | 2008 | 4 | usl pdl | 2nd, mid south | national final | did not qualify | | 5 | 2009 | 4 | usl pdl | 1st, mid south | conference finals | did not qualify | | 6 | 2010 | 4 | usl pdl | 1st, mid south | conference semi-final | did not qualify | | 7 | 2011 | 4 | usl pdl | 1st, mid south | national final | did not qualify | | 8 | 2012 | 4 | usl pdl | 1st, mid south | conference semi-final | 2nd round | | 9 | 2013 | 4 | usl pdl | 2nd, mid south | conference finals | 2nd round |

| | open cup | |---:|:----------------| | 0 | did not qualify | | 1 | did not qualify | | 2 | 1st round | | 3 | did not qualify | | 4 | did not qualify | | 5 | did not qualify | | 6 | did not qualify | | 7 | did not qualify | | 8 | 2nd round | | 9 | 2nd round |

select count ( college ) where college = 'central florida' col : round | selection | player | position | college row 1 : 1 | 22 | desmond trufant | cb | washington row 2 : 2 | 60 | robert alford | cb | southeastern louisiana row 3 : 4 | 127 | malliciah goodman | de | clemson row 4 : 4 | 133 | levine toilolo | te | stanford row 5 : 5 | 153 | stansly maponga | de | tcu row 6 : 7 | 243 | kemal ishmael | s | central florida row 7 : 7 | 244 | zeke motta | s | notre dame row 8 : 7 | 249 | sean renfree | qb | duke

col : count ( "college" ) row 1 : 1

select count ( college ) where college = 'central florida' <table_name> : table \begin{tabular}{llllll} \toprule & round & selection & player & position & college \\ \midrule 0 & 1 & 22 & desmond trufant & cb & washington \\ 1 & 2 & 60 & robert alford & cb & southeastern louisiana \\ 2 & 4 & 127 & malliciah goodman & de & clemson \\ 3 & 4 & 133 & levine toilolo & te & stanford \\ 4 & 5 & 153 & stansly maponga & de & tcu \\ 5 & 7 & 243 & kemal ishmael & s & central florida \\ 6 & 7 & 244 & zeke motta & s & notre dame \\ 7 & 7 & 249 & sean renfree & qb & duke \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "college" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( college ) where college = 'central florida' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>round</th> <th>selection</th> <th>player</th> <th>position</th> <th>college</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>22</td> <td>desmond trufant</td> <td>cb</td> <td>washington</td> </tr> <tr> <th>1</th> <td>2</td> <td>60</td> <td>robert alford</td> <td>cb</td> <td>southeastern louisiana</td> </tr> <tr> <th>2</th> <td>4</td> <td>127</td> <td>malliciah goodman</td> <td>de</td> <td>clemson</td> </tr> <tr> <th>3</th> <td>4</td> <td>133</td> <td>levine toilolo</td> <td>te</td> <td>stanford</td> </tr> <tr> <th>4</th> <td>5</td> <td>153</td> <td>stansly maponga</td> <td>de</td> <td>tcu</td> </tr> <tr> <th>5</th> <td>7</td> <td>243</td> <td>kemal ishmael</td> <td>s</td> <td>central florida</td> </tr> <tr> <th>6</th> <td>7</td> <td>244</td> <td>zeke motta</td> <td>s</td> <td>notre dame</td> </tr> <tr> <th>7</th> <td>7</td> <td>249</td> <td>sean renfree</td> <td>qb</td> <td>duke</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "college" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( college ) where college = 'central florida' <table_name> : table | | round | selection | player | position | college | |---:|--------:|------------:|:------------------|:-----------|:-----------------------| | 0 | 1 | 22 | desmond trufant | cb | washington | | 1 | 2 | 60 | robert alford | cb | southeastern louisiana | | 2 | 4 | 127 | malliciah goodman | de | clemson | | 3 | 4 | 133 | levine toilolo | te | stanford | | 4 | 5 | 153 | stansly maponga | de | tcu | | 5 | 7 | 243 | kemal ishmael | s | central florida | | 6 | 7 | 244 | zeke motta | s | notre dame | | 7 | 7 | 249 | sean renfree | qb | duke |

| | count ( "college" ) | |---:|----------------------:| | 0 | 1 |

select opponents in the final where outcome = 'runner-up' 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 : opponents in the final row 1 : pancho gonzales ron holmberg row 2 : william bowrey ray ruffels row 3 : bob hewitt andrew pattison

select opponents in the final where outcome = 'runner-up' <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 & opponents in the final \\ \midrule 0 & pancho gonzales ron holmberg \\ 1 & william bowrey ray ruffels \\ 2 & bob hewitt andrew pattison \\ \bottomrule \end{tabular}

select opponents in the final where outcome = 'runner-up' <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>opponents in the final</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>pancho gonzales ron holmberg</td> </tr> <tr> <th>1</th> <td>william bowrey ray ruffels</td> </tr> <tr> <th>2</th> <td>bob hewitt andrew pattison</td> </tr> </tbody> </table>

select opponents in the final where outcome = 'runner-up' <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 |

| | opponents in the final | |---:|:-----------------------------| | 0 | pancho gonzales ron holmberg | | 1 | william bowrey ray ruffels | | 2 | bob hewitt andrew pattison |

select count ( * ) where date = 'september 12' col : no. | race title | track | date | tv row 1 : 1 | nextera energy resources 250 | daytona international speedway, daytona beach | february 21 | fs1 row 2 : 2 | kroger 250 | martinsville speedway, martinsville | march 30 | fs1 row 3 : 3 | sfp 250 | kansas speedway, kansas city | may 9 | fs1 row 4 : 4 | north carolina education lottery 200 | charlotte motor speedway, concord | may 16 | fs1 row 5 : 5 | lucas oil 200 | dover international speedway, dover | may 30 | fs1 row 6 : 6 | winstar world casino 400k | texas motor speedway, fort worth | june 6 | fs1 row 7 : 7 | gateway 200 | gateway motorsports park, madison, illinois | june 14 | fs1 row 8 : 8 | unoh 225 | kentucky speedway, sparta | june 26 | fs1 row 9 : 9 | american ethanol 200 | iowa speedway, newton | july 12 | fs1 row 10 : 10 | mudsummer classic | eldora speedway, new weston | july 23 | fs1 row 11 : 11 | pocono mountains 150 | pocono raceway, long pond | august 2 | fs1 row 12 : 12 | michigan national guard 200 | michigan international speedway, brooklyn | august 16 | fs1 row 13 : 13 | unoh 200 | bristol motor speedway, bristol | august 20 | fs1 row 14 : 14 | chevy silverado 250 | canadian tire motorsport park, bowmanville, ontario | august 31 | fs1 row 15 : 15 | enjoyillinois.com 225 | chicagoland speedway, joliet | september 12 | fs1 row 16 : 16 | unoh 175 | new hampshire motor speedway, loudon | september 20 | fs1 row 17 : 17 | smith's 350 | las vegas motor speedway, las vegas | september 27 | fs1 row 18 : 18 | fred's 250 | talladega superspeedway, talladega | october 18 | fox row 19 : 19 | kroger 200 | martinsville speedway, martinsville | october 25 | fs1 row 20 : 20 | winstar world casino 350k | texas motor speedway, fort worth | october 31 | fs1 row 21 : 21 | lucas oil 150 | phoenix international raceway, avondale | november 7 | fs1 row 22 : 22 | ford ecoboost 200 | homestead-miami speedway, homestead | november 14 | fs1

col : count ( "*" ) row 1 : 1

select count ( * ) where date = 'september 12' <table_name> : table \begin{tabular}{llllll} \toprule & no. & race title & track & date & tv \\ \midrule 0 & 1 & nextera energy resources 250 & daytona international speedway, daytona beach & february 21 & fs1 \\ 1 & 2 & kroger 250 & martinsville speedway, martinsville & march 30 & fs1 \\ 2 & 3 & sfp 250 & kansas speedway, kansas city & may 9 & fs1 \\ 3 & 4 & north carolina education lottery 200 & charlotte motor speedway, concord & may 16 & fs1 \\ 4 & 5 & lucas oil 200 & dover international speedway, dover & may 30 & fs1 \\ 5 & 6 & winstar world casino 400k & texas motor speedway, fort worth & june 6 & fs1 \\ 6 & 7 & gateway 200 & gateway motorsports park, madison, illinois & june 14 & fs1 \\ 7 & 8 & unoh 225 & kentucky speedway, sparta & june 26 & fs1 \\ 8 & 9 & american ethanol 200 & iowa speedway, newton & july 12 & fs1 \\ 9 & 10 & mudsummer classic & eldora speedway, new weston & july 23 & fs1 \\ 10 & 11 & pocono mountains 150 & pocono raceway, long pond & august 2 & fs1 \\ 11 & 12 & michigan national guard 200 & michigan international speedway, brooklyn & august 16 & fs1 \\ 12 & 13 & unoh 200 & bristol motor speedway, bristol & august 20 & fs1 \\ 13 & 14 & chevy silverado 250 & canadian tire motorsport park, bowmanville, ontario & august 31 & fs1 \\ 14 & 15 & enjoyillinois.com 225 & chicagoland speedway, joliet & september 12 & fs1 \\ 15 & 16 & unoh 175 & new hampshire motor speedway, loudon & september 20 & fs1 \\ 16 & 17 & smith's 350 & las vegas motor speedway, las vegas & september 27 & fs1 \\ 17 & 18 & fred's 250 & talladega superspeedway, talladega & october 18 & fox \\ 18 & 19 & kroger 200 & martinsville speedway, martinsville & october 25 & fs1 \\ 19 & 20 & winstar world casino 350k & texas motor speedway, fort worth & october 31 & fs1 \\ 20 & 21 & lucas oil 150 & phoenix international raceway, avondale & november 7 & fs1 \\ 21 & 22 & ford ecoboost 200 & homestead-miami speedway, homestead & november 14 & fs1 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( * ) where date = 'september 12' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>no.</th> <th>race title</th> <th>track</th> <th>date</th> <th>tv</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>nextera energy resources 250</td> <td>daytona international speedway, daytona beach</td> <td>february 21</td> <td>fs1</td> </tr> <tr> <th>1</th> <td>2</td> <td>kroger 250</td> <td>martinsville speedway, martinsville</td> <td>march 30</td> <td>fs1</td> </tr> <tr> <th>2</th> <td>3</td> <td>sfp 250</td> <td>kansas speedway, kansas city</td> <td>may 9</td> <td>fs1</td> </tr> <tr> <th>3</th> <td>4</td> <td>north carolina education lottery 200</td> <td>charlotte motor speedway, concord</td> <td>may 16</td> <td>fs1</td> </tr> <tr> <th>4</th> <td>5</td> <td>lucas oil 200</td> <td>dover international speedway, dover</td> <td>may 30</td> <td>fs1</td> </tr> <tr> <th>5</th> <td>6</td> <td>winstar world casino 400k</td> <td>texas motor speedway, fort worth</td> <td>june 6</td> <td>fs1</td> </tr> <tr> <th>6</th> <td>7</td> <td>gateway 200</td> <td>gateway motorsports park, madison, illinois</td> <td>june 14</td> <td>fs1</td> </tr> <tr> <th>7</th> <td>8</td> <td>unoh 225</td> <td>kentucky speedway, sparta</td> <td>june 26</td> <td>fs1</td> </tr> <tr> <th>8</th> <td>9</td> <td>american ethanol 200</td> <td>iowa speedway, newton</td> <td>july 12</td> <td>fs1</td> </tr> <tr> <th>9</th> <td>10</td> <td>mudsummer classic</td> <td>eldora speedway, new weston</td> <td>july 23</td> <td>fs1</td> </tr> <tr> <th>10</th> <td>11</td> <td>pocono mountains 150</td> <td>pocono raceway, long pond</td> <td>august 2</td> <td>fs1</td> </tr> <tr> <th>11</th> <td>12</td> <td>michigan national guard 200</td> <td>michigan international speedway, brooklyn</td> <td>august 16</td> <td>fs1</td> </tr> <tr> <th>12</th> <td>13</td> <td>unoh 200</td> <td>bristol motor speedway, bristol</td> <td>august 20</td> <td>fs1</td> </tr> <tr> <th>13</th> <td>14</td> <td>chevy silverado 250</td> <td>canadian tire motorsport park, bowmanville, ontario</td> <td>august 31</td> <td>fs1</td> </tr> <tr> <th>14</th> <td>15</td> <td>enjoyillinois.com 225</td> <td>chicagoland speedway, joliet</td> <td>september 12</td> <td>fs1</td> </tr> <tr> <th>15</th> <td>16</td> <td>unoh 175</td> <td>new hampshire motor speedway, loudon</td> <td>september 20</td> <td>fs1</td> </tr> <tr> <th>16</th> <td>17</td> <td>smith's 350</td> <td>las vegas motor speedway, las vegas</td> <td>september 27</td> <td>fs1</td> </tr> <tr> <th>17</th> <td>18</td> <td>fred's 250</td> <td>talladega superspeedway, talladega</td> <td>october 18</td> <td>fox</td> </tr> <tr> <th>18</th> <td>19</td> <td>kroger 200</td> <td>martinsville speedway, martinsville</td> <td>october 25</td> <td>fs1</td> </tr> <tr> <th>19</th> <td>20</td> <td>winstar world casino 350k</td> <td>texas motor speedway, fort worth</td> <td>october 31</td> <td>fs1</td> </tr> <tr> <th>20</th> <td>21</td> <td>lucas oil 150</td> <td>phoenix international raceway, avondale</td> <td>november 7</td> <td>fs1</td> </tr> <tr> <th>21</th> <td>22</td> <td>ford ecoboost 200</td> <td>homestead-miami speedway, homestead</td> <td>november 14</td> <td>fs1</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 date = 'september 12' <table_name> : table | | no. | race title | track | date | tv | |---:|------:|:-------------------------------------|:----------------------------------------------------|:-------------|:-----| | 0 | 1 | nextera energy resources 250 | daytona international speedway, daytona beach | february 21 | fs1 | | 1 | 2 | kroger 250 | martinsville speedway, martinsville | march 30 | fs1 | | 2 | 3 | sfp 250 | kansas speedway, kansas city | may 9 | fs1 | | 3 | 4 | north carolina education lottery 200 | charlotte motor speedway, concord | may 16 | fs1 | | 4 | 5 | lucas oil 200 | dover international speedway, dover | may 30 | fs1 | | 5 | 6 | winstar world casino 400k | texas motor speedway, fort worth | june 6 | fs1 | | 6 | 7 | gateway 200 | gateway motorsports park, madison, illinois | june 14 | fs1 | | 7 | 8 | unoh 225 | kentucky speedway, sparta | june 26 | fs1 | | 8 | 9 | american ethanol 200 | iowa speedway, newton | july 12 | fs1 | | 9 | 10 | mudsummer classic | eldora speedway, new weston | july 23 | fs1 | | 10 | 11 | pocono mountains 150 | pocono raceway, long pond | august 2 | fs1 | | 11 | 12 | michigan national guard 200 | michigan international speedway, brooklyn | august 16 | fs1 | | 12 | 13 | unoh 200 | bristol motor speedway, bristol | august 20 | fs1 | | 13 | 14 | chevy silverado 250 | canadian tire motorsport park, bowmanville, ontario | august 31 | fs1 | | 14 | 15 | enjoyillinois.com 225 | chicagoland speedway, joliet | september 12 | fs1 | | 15 | 16 | unoh 175 | new hampshire motor speedway, loudon | september 20 | fs1 | | 16 | 17 | smith's 350 | las vegas motor speedway, las vegas | september 27 | fs1 | | 17 | 18 | fred's 250 | talladega superspeedway, talladega | october 18 | fox | | 18 | 19 | kroger 200 | martinsville speedway, martinsville | october 25 | fs1 | | 19 | 20 | winstar world casino 350k | texas motor speedway, fort worth | october 31 | fs1 | | 20 | 21 | lucas oil 150 | phoenix international raceway, avondale | november 7 | fs1 | | 21 | 22 | ford ecoboost 200 | homestead-miami speedway, homestead | november 14 | fs1 |

| | count ( "*" ) | |---:|----------------:| | 0 | 1 |

select team where team = 'cin' col : year | team | games | combined tackles | tackles | assisted tackles | sacks | forced fumbles | fumble recoveries | fumble return yards | interceptions | interception return yards | yards per interception return | longest interception return | interceptions returned for touchdown | passes defended row 1 : 2001 | cin | 15 | 53 | 41 | 12 | 8.5 | 0 | 0 | 0 | 2 | 28 | 14 | 21 | 0 | 5 row 2 : 2002 | cin | 16 | 59 | 47 | 12 | 6.5 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 row 3 : 2003 | cin | 16 | 60 | 41 | 19 | 5.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 row 4 : 2004 | cin | 16 | 70 | 41 | 29 | 8.0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 row 5 : 2005 | cin | 16 | 65 | 45 | 20 | 6.0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 row 6 : 2006 | cin | 16 | 81 | 50 | 31 | 7.5 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 row 7 : 2007 | cin | 16 | 78 | 49 | 29 | 2.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 row 8 : 2008 | sf | 16 | 73 | 50 | 23 | 7.0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 row 9 : 2009 | sf | 16 | 55 | 40 | 15 | 6.0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 row 10 : 2010 | sf | 16 | 70 | 57 | 13 | 8.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 row 11 : 2011 | sf | 16 | 58 | 45 | 13 | 7.5 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 row 12 : 2012 | sf | 14 | 66 | 47 | 19 | 3.0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 row 13 : 2013 | sf | 16 | 49 | 32 | 17 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 row 14 : career | none | 205 | 837 | 585 | 252 | 82.0 | 15 | 9 | 0 | 3 | 28 | 9 | 21 | 0 | 29

col : team row 1 : cin row 2 : cin row 3 : cin row 4 : cin row 5 : cin row 6 : cin row 7 : cin

select team where team = 'cin' <table_name> : table \begin{tabular}{lllllllllllllllll} \toprule & year & team & games & combined tackles & tackles & assisted tackles & sacks & forced fumbles & fumble recoveries & fumble return yards & interceptions & interception return yards & yards per interception return & longest interception return & interceptions returned for touchdown & passes defended \\ \midrule 0 & 2001 & cin & 15 & 53 & 41 & 12 & 8.5 & 0 & 0 & 0 & 2 & 28 & 14 & 21 & 0 & 5 \\ 1 & 2002 & cin & 16 & 59 & 47 & 12 & 6.5 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 \\ 2 & 2003 & cin & 16 & 60 & 41 & 19 & 5.0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 3 \\ 3 & 2004 & cin & 16 & 70 & 41 & 29 & 8.0 & 2 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 2 \\ 4 & 2005 & cin & 16 & 65 & 45 & 20 & 6.0 & 1 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 2 \\ 5 & 2006 & cin & 16 & 81 & 50 & 31 & 7.5 & 1 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 3 \\ 6 & 2007 & cin & 16 & 78 & 49 & 29 & 2.0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 3 \\ 7 & 2008 & sf & 16 & 73 & 50 & 23 & 7.0 & 1 & 0 & 0 & 1 & 0 & 0 & 0 & 0 & 3 \\ 8 & 2009 & sf & 16 & 55 & 40 & 15 & 6.0 & 2 & 2 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \\ 9 & 2010 & sf & 16 & 70 & 57 & 13 & 8.5 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 \\ 10 & 2011 & sf & 16 & 58 & 45 & 13 & 7.5 & 3 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 2 \\ 11 & 2012 & sf & 14 & 66 & 47 & 19 & 3.0 & 0 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 2 \\ 12 & 2013 & sf & 16 & 49 & 32 & 17 & 6.5 & 1 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 \\ 13 & career & none & 205 & 837 & 585 & 252 & 82.0 & 15 & 9 & 0 & 3 & 28 & 9 & 21 & 0 & 29 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & team \\ \midrule 0 & cin \\ 1 & cin \\ 2 & cin \\ 3 & cin \\ 4 & cin \\ 5 & cin \\ 6 & cin \\ \bottomrule \end{tabular}

select team where team = 'cin' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>team</th> <th>games</th> <th>combined tackles</th> <th>tackles</th> <th>assisted tackles</th> <th>sacks</th> <th>forced fumbles</th> <th>fumble recoveries</th> <th>fumble return yards</th> <th>interceptions</th> <th>interception return yards</th> <th>yards per interception return</th> <th>longest interception return</th> <th>interceptions returned for touchdown</th> <th>passes defended</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2001</td> <td>cin</td> <td>15</td> <td>53</td> <td>41</td> <td>12</td> <td>8.5</td> <td>0</td> <td>0</td> <td>0</td> <td>2</td> <td>28</td> <td>14</td> <td>21</td> <td>0</td> <td>5</td> </tr> <tr> <th>1</th> <td>2002</td> <td>cin</td> <td>16</td> <td>59</td> <td>47</td> <td>12</td> <td>6.5</td> <td>2</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>2</td> </tr> <tr> <th>2</th> <td>2003</td> <td>cin</td> <td>16</td> <td>60</td> <td>41</td> <td>19</td> <td>5.0</td> <td>1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>3</td> </tr> <tr> <th>3</th> <td>2004</td> <td>cin</td> <td>16</td> <td>70</td> <td>41</td> <td>29</td> <td>8.0</td> <td>2</td> <td>2</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>2</td> </tr> <tr> <th>4</th> <td>2005</td> <td>cin</td> <td>16</td> <td>65</td> <td>45</td> <td>20</td> <td>6.0</td> <td>1</td> <td>1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>2</td> </tr> <tr> <th>5</th> <td>2006</td> <td>cin</td> <td>16</td> <td>81</td> <td>50</td> <td>31</td> <td>7.5</td> <td>1</td> <td>2</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>3</td> </tr> <tr> <th>6</th> <td>2007</td> <td>cin</td> <td>16</td> <td>78</td> <td>49</td> <td>29</td> <td>2.0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>3</td> </tr> <tr> <th>7</th> <td>2008</td> <td>sf</td> <td>16</td> <td>73</td> <td>50</td> <td>23</td> <td>7.0</td> <td>1</td> <td>0</td> <td>0</td> <td>1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>3</td> </tr> <tr> <th>8</th> <td>2009</td> <td>sf</td> <td>16</td> <td>55</td> <td>40</td> <td>15</td> <td>6.0</td> <td>2</td> <td>2</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>1</td> </tr> <tr> <th>9</th> <td>2010</td> <td>sf</td> <td>16</td> <td>70</td> <td>57</td> <td>13</td> <td>8.5</td> <td>1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>1</td> </tr> <tr> <th>10</th> <td>2011</td> <td>sf</td> <td>16</td> <td>58</td> <td>45</td> <td>13</td> <td>7.5</td> <td>3</td> <td>1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>2</td> </tr> <tr> <th>11</th> <td>2012</td> <td>sf</td> <td>14</td> <td>66</td> <td>47</td> <td>19</td> <td>3.0</td> <td>0</td> <td>1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>2</td> </tr> <tr> <th>12</th> <td>2013</td> <td>sf</td> <td>16</td> <td>49</td> <td>32</td> <td>17</td> <td>6.5</td> <td>1</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> </tr> <tr> <th>13</th> <td>career</td> <td>none</td> <td>205</td> <td>837</td> <td>585</td> <td>252</td> <td>82.0</td> <td>15</td> <td>9</td> <td>0</td> <td>3</td> <td>28</td> <td>9</td> <td>21</td> <td>0</td> <td>29</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>cin</td> </tr> <tr> <th>1</th> <td>cin</td> </tr> <tr> <th>2</th> <td>cin</td> </tr> <tr> <th>3</th> <td>cin</td> </tr> <tr> <th>4</th> <td>cin</td> </tr> <tr> <th>5</th> <td>cin</td> </tr> <tr> <th>6</th> <td>cin</td> </tr> </tbody> </table>

select team where team = 'cin' <table_name> : table | | year | team | games | combined tackles | tackles | assisted tackles | sacks | forced fumbles | fumble recoveries | fumble return yards | interceptions | interception return yards | yards per interception return | longest interception return | interceptions returned for touchdown | passes defended | |---:|:-------|:-------|--------:|-------------------:|----------:|-------------------:|--------:|-----------------:|--------------------:|----------------------:|----------------:|----------------------------:|--------------------------------:|------------------------------:|---------------------------------------:|------------------:| | 0 | 2001 | cin | 15 | 53 | 41 | 12 | 8.5 | 0 | 0 | 0 | 2 | 28 | 14 | 21 | 0 | 5 | | 1 | 2002 | cin | 16 | 59 | 47 | 12 | 6.5 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | | 2 | 2003 | cin | 16 | 60 | 41 | 19 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | | 3 | 2004 | cin | 16 | 70 | 41 | 29 | 8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | | 4 | 2005 | cin | 16 | 65 | 45 | 20 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | | 5 | 2006 | cin | 16 | 81 | 50 | 31 | 7.5 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | | 6 | 2007 | cin | 16 | 78 | 49 | 29 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | | 7 | 2008 | sf | 16 | 73 | 50 | 23 | 7 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | | 8 | 2009 | sf | 16 | 55 | 40 | 15 | 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | | 9 | 2010 | sf | 16 | 70 | 57 | 13 | 8.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | | 10 | 2011 | sf | 16 | 58 | 45 | 13 | 7.5 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | | 11 | 2012 | sf | 14 | 66 | 47 | 19 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | | 12 | 2013 | sf | 16 | 49 | 32 | 17 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | | 13 | career | none | 205 | 837 | 585 | 252 | 82 | 15 | 9 | 0 | 3 | 28 | 9 | 21 | 0 | 29 |

| | team | |---:|:-------| | 0 | cin | | 1 | cin | | 2 | cin | | 3 | cin | | 4 | cin | | 5 | cin | | 6 | cin |

select residence where famous for.../occupation = 'tv host & ex-wife of chiquetete' col : celebrity | residence | famous for.../occupation | age | status row 1 : nagore robles | bilbao | gran hermano 11 housemate | 28 | winner row 2 : raquel bollo | seville | tv host & ex-wife of chiquetete | 43 | runner-up row 3 : blanca de borbon | oviedo, asturias | alfonso xiii's illegitimate granddaughter | 55 | 3rd finalist row 4 : regina do santos | brazil | singer & dancer | 58 | 1st / 14th evicted row 5 : liberto lopez de la franca | madrid | good manner teacher | 40 | 13th evicted row 6 : ma angeles delgado | valladolid | mother of reality-show star aida nizar | 57 | 8th / 12th evicted row 7 : ursula aguilar | malaga | miss malaga 2011 | 24 | 11th evicted row 8 : alvaro munoz-escassi | seville | horse rider & ex-boyfriend of lara dibildos | 42 | 10th evicted row 9 : pedro reche, "reche" | langreo, asturias | reality show star | 27 | 9th evicted row 10 : dionisio rodriguez, "dioni" | madrid | ex security guard, robbed a security van | 62 | ejected row 11 : antonio david flores | madrid | ex-son-in-law of rocio jurado | 36 | 7th evicted row 12 : raul hidalgo | valladolid | reality show star | 29 | 6th evicted row 13 : leticia sabater | barcelona | tv host | 45 | 5th evicted row 14 : brenda cerda | valencia | reality show star | 19 | 4th evicted row 15 : sonia baby | elche, valencia | porn actress | 30 | 3rd evicted row 16 : barbara rey | totana, murcia | actress, vedette, tv host | 61 | 2nd evicted

col : residence row 1 : seville

select residence where famous for.../occupation = 'tv host & ex-wife of chiquetete' <table_name> : table \begin{tabular}{llllll} \toprule & celebrity & residence & famous for.../occupation & age & status \\ \midrule 0 & nagore robles & bilbao & gran hermano 11 housemate & 28 & winner \\ 1 & raquel bollo & seville & tv host & ex-wife of chiquetete & 43 & runner-up \\ 2 & blanca de borbon & oviedo, asturias & alfonso xiii's illegitimate granddaughter & 55 & 3rd finalist \\ 3 & regina do santos & brazil & singer & dancer & 58 & 1st / 14th evicted \\ 4 & liberto lopez de la franca & madrid & good manner teacher & 40 & 13th evicted \\ 5 & ma angeles delgado & valladolid & mother of reality-show star aida nizar & 57 & 8th / 12th evicted \\ 6 & ursula aguilar & malaga & miss malaga 2011 & 24 & 11th evicted \\ 7 & alvaro munoz-escassi & seville & horse rider & ex-boyfriend of lara dibildos & 42 & 10th evicted \\ 8 & pedro reche, "reche" & langreo, asturias & reality show star & 27 & 9th evicted \\ 9 & dionisio rodriguez, "dioni" & madrid & ex security guard, robbed a security van & 62 & ejected \\ 10 & antonio david flores & madrid & ex-son-in-law of rocio jurado & 36 & 7th evicted \\ 11 & raul hidalgo & valladolid & reality show star & 29 & 6th evicted \\ 12 & leticia sabater & barcelona & tv host & 45 & 5th evicted \\ 13 & brenda cerda & valencia & reality show star & 19 & 4th evicted \\ 14 & sonia baby & elche, valencia & porn actress & 30 & 3rd evicted \\ 15 & barbara rey & totana, murcia & actress, vedette, tv host & 61 & 2nd evicted \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & residence \\ \midrule 0 & seville \\ \bottomrule \end{tabular}

select residence where famous for.../occupation = 'tv host & ex-wife of chiquetete' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>celebrity</th> <th>residence</th> <th>famous for.../occupation</th> <th>age</th> <th>status</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>nagore robles</td> <td>bilbao</td> <td>gran hermano 11 housemate</td> <td>28</td> <td>winner</td> </tr> <tr> <th>1</th> <td>raquel bollo</td> <td>seville</td> <td>tv host &amp; ex-wife of chiquetete</td> <td>43</td> <td>runner-up</td> </tr> <tr> <th>2</th> <td>blanca de borbon</td> <td>oviedo, asturias</td> <td>alfonso xiii's illegitimate granddaughter</td> <td>55</td> <td>3rd finalist</td> </tr> <tr> <th>3</th> <td>regina do santos</td> <td>brazil</td> <td>singer &amp; dancer</td> <td>58</td> <td>1st / 14th evicted</td> </tr> <tr> <th>4</th> <td>liberto lopez de la franca</td> <td>madrid</td> <td>good manner teacher</td> <td>40</td> <td>13th evicted</td> </tr> <tr> <th>5</th> <td>ma angeles delgado</td> <td>valladolid</td> <td>mother of reality-show star aida nizar</td> <td>57</td> <td>8th / 12th evicted</td> </tr> <tr> <th>6</th> <td>ursula aguilar</td> <td>malaga</td> <td>miss malaga 2011</td> <td>24</td> <td>11th evicted</td> </tr> <tr> <th>7</th> <td>alvaro munoz-escassi</td> <td>seville</td> <td>horse rider &amp; ex-boyfriend of lara dibildos</td> <td>42</td> <td>10th evicted</td> </tr> <tr> <th>8</th> <td>pedro reche, "reche"</td> <td>langreo, asturias</td> <td>reality show star</td> <td>27</td> <td>9th evicted</td> </tr> <tr> <th>9</th> <td>dionisio rodriguez, "dioni"</td> <td>madrid</td> <td>ex security guard, robbed a security van</td> <td>62</td> <td>ejected</td> </tr> <tr> <th>10</th> <td>antonio david flores</td> <td>madrid</td> <td>ex-son-in-law of rocio jurado</td> <td>36</td> <td>7th evicted</td> </tr> <tr> <th>11</th> <td>raul hidalgo</td> <td>valladolid</td> <td>reality show star</td> <td>29</td> <td>6th evicted</td> </tr> <tr> <th>12</th> <td>leticia sabater</td> <td>barcelona</td> <td>tv host</td> <td>45</td> <td>5th evicted</td> </tr> <tr> <th>13</th> <td>brenda cerda</td> <td>valencia</td> <td>reality show star</td> <td>19</td> <td>4th evicted</td> </tr> <tr> <th>14</th> <td>sonia baby</td> <td>elche, valencia</td> <td>porn actress</td> <td>30</td> <td>3rd evicted</td> </tr> <tr> <th>15</th> <td>barbara rey</td> <td>totana, murcia</td> <td>actress, vedette, tv host</td> <td>61</td> <td>2nd evicted</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>residence</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>seville</td> </tr> </tbody> </table>

select residence where famous for.../occupation = 'tv host & ex-wife of chiquetete' <table_name> : table | | celebrity | residence | famous for.../occupation | age | status | |---:|:----------------------------|:------------------|:--------------------------------------------|------:|:-------------------| | 0 | nagore robles | bilbao | gran hermano 11 housemate | 28 | winner | | 1 | raquel bollo | seville | tv host & ex-wife of chiquetete | 43 | runner-up | | 2 | blanca de borbon | oviedo, asturias | alfonso xiii's illegitimate granddaughter | 55 | 3rd finalist | | 3 | regina do santos | brazil | singer & dancer | 58 | 1st / 14th evicted | | 4 | liberto lopez de la franca | madrid | good manner teacher | 40 | 13th evicted | | 5 | ma angeles delgado | valladolid | mother of reality-show star aida nizar | 57 | 8th / 12th evicted | | 6 | ursula aguilar | malaga | miss malaga 2011 | 24 | 11th evicted | | 7 | alvaro munoz-escassi | seville | horse rider & ex-boyfriend of lara dibildos | 42 | 10th evicted | | 8 | pedro reche, "reche" | langreo, asturias | reality show star | 27 | 9th evicted | | 9 | dionisio rodriguez, "dioni" | madrid | ex security guard, robbed a security van | 62 | ejected | | 10 | antonio david flores | madrid | ex-son-in-law of rocio jurado | 36 | 7th evicted | | 11 | raul hidalgo | valladolid | reality show star | 29 | 6th evicted | | 12 | leticia sabater | barcelona | tv host | 45 | 5th evicted | | 13 | brenda cerda | valencia | reality show star | 19 | 4th evicted | | 14 | sonia baby | elche, valencia | porn actress | 30 | 3rd evicted | | 15 | barbara rey | totana, murcia | actress, vedette, tv host | 61 | 2nd evicted |

| | residence | |---:|:------------| | 0 | seville |

select count ( weight (lbs.) ) where hometown = 'stanwood, wa, u.s' col : # | name | height | weight (lbs.) | position | class | hometown | previous team(s) row 1 : 0 | joel smith | 6'4" | 210 | g | rs jr | lompoc, ca, u.s | brewster academy row 2 : 1 | venoy overton | 5'11" | 180 | g | fr | seattle, wa, u.s | franklin hs row 3 : 4 | tim morris | 6'4" | 210 | g | sr | spokane wa, u.s | central valley hs row 4 : 5 | justin dentmon | 5'11" | 185 | g | jr | carbondale, il, u.s | winchendon school row 5 : 11 | matthew bryan-amaning | 6'9" | 235 | f | fr | london, england, u.k | south kent school row 6 : 20 | ryan appleby | 6'3" | 170 | g | sr | stanwood, wa, u.s | florida row 7 : 21 | artem wallace | 6'8" | 250 | c | jr | toledo, wa, u.s | toledo hs row 8 : 22 | justin holiday | 6'6" | 170 | f | fr | chatsworth, ca, u.s | campbell hall school row 9 : 24 | quincy pondexter | 6'6" | 210 | f | so | fresno, ca, u.s | san joaquin memorial hs row 10 : 32 | joe wolfinger | 7'0" | 255 | c | rs so | portland, or, u.s | northfield mount hermon school row 11 : 40 | jon brockman | 6'7" | 255 | f | jr | snohomish, wa, u.s | snohomish sr. hs row 12 : 44 | darnell gant | 6'8" | 215 | f | fr | los angeles, ca, u.s | crenshaw hs

col : count ( "weight (lbs." ) row 1 : 1

select count ( weight (lbs.) ) where hometown = 'stanwood, wa, u.s' <table_name> : table \begin{tabular}{lllllllll} \toprule & # & name & height & weight (lbs.) & position & class & hometown & previous team(s) \\ \midrule 0 & 0 & joel smith & 6'4" & 210 & g & rs jr & lompoc, ca, u.s & brewster academy \\ 1 & 1 & venoy overton & 5'11" & 180 & g & fr & seattle, wa, u.s & franklin hs \\ 2 & 4 & tim morris & 6'4" & 210 & g & sr & spokane wa, u.s & central valley hs \\ 3 & 5 & justin dentmon & 5'11" & 185 & g & jr & carbondale, il, u.s & winchendon school \\ 4 & 11 & matthew bryan-amaning & 6'9" & 235 & f & fr & london, england, u.k & south kent school \\ 5 & 20 & ryan appleby & 6'3" & 170 & g & sr & stanwood, wa, u.s & florida \\ 6 & 21 & artem wallace & 6'8" & 250 & c & jr & toledo, wa, u.s & toledo hs \\ 7 & 22 & justin holiday & 6'6" & 170 & f & fr & chatsworth, ca, u.s & campbell hall school \\ 8 & 24 & quincy pondexter & 6'6" & 210 & f & so & fresno, ca, u.s & san joaquin memorial hs \\ 9 & 32 & joe wolfinger & 7'0" & 255 & c & rs so & portland, or, u.s & northfield mount hermon school \\ 10 & 40 & jon brockman & 6'7" & 255 & f & jr & snohomish, wa, u.s & snohomish sr. hs \\ 11 & 44 & darnell gant & 6'8" & 215 & f & fr & los angeles, ca, u.s & crenshaw hs \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "weight (lbs." ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( weight (lbs.) ) where hometown = 'stanwood, wa, u.s' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>#</th> <th>name</th> <th>height</th> <th>weight (lbs.)</th> <th>position</th> <th>class</th> <th>hometown</th> <th>previous team(s)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>0</td> <td>joel smith</td> <td>6'4"</td> <td>210</td> <td>g</td> <td>rs jr</td> <td>lompoc, ca, u.s</td> <td>brewster academy</td> </tr> <tr> <th>1</th> <td>1</td> <td>venoy overton</td> <td>5'11"</td> <td>180</td> <td>g</td> <td>fr</td> <td>seattle, wa, u.s</td> <td>franklin hs</td> </tr> <tr> <th>2</th> <td>4</td> <td>tim morris</td> <td>6'4"</td> <td>210</td> <td>g</td> <td>sr</td> <td>spokane wa, u.s</td> <td>central valley hs</td> </tr> <tr> <th>3</th> <td>5</td> <td>justin dentmon</td> <td>5'11"</td> <td>185</td> <td>g</td> <td>jr</td> <td>carbondale, il, u.s</td> <td>winchendon school</td> </tr> <tr> <th>4</th> <td>11</td> <td>matthew bryan-amaning</td> <td>6'9"</td> <td>235</td> <td>f</td> <td>fr</td> <td>london, england, u.k</td> <td>south kent school</td> </tr> <tr> <th>5</th> <td>20</td> <td>ryan appleby</td> <td>6'3"</td> <td>170</td> <td>g</td> <td>sr</td> <td>stanwood, wa, u.s</td> <td>florida</td> </tr> <tr> <th>6</th> <td>21</td> <td>artem wallace</td> <td>6'8"</td> <td>250</td> <td>c</td> <td>jr</td> <td>toledo, wa, u.s</td> <td>toledo hs</td> </tr> <tr> <th>7</th> <td>22</td> <td>justin holiday</td> <td>6'6"</td> <td>170</td> <td>f</td> <td>fr</td> <td>chatsworth, ca, u.s</td> <td>campbell hall school</td> </tr> <tr> <th>8</th> <td>24</td> <td>quincy pondexter</td> <td>6'6"</td> <td>210</td> <td>f</td> <td>so</td> <td>fresno, ca, u.s</td> <td>san joaquin memorial hs</td> </tr> <tr> <th>9</th> <td>32</td> <td>joe wolfinger</td> <td>7'0"</td> <td>255</td> <td>c</td> <td>rs so</td> <td>portland, or, u.s</td> <td>northfield mount hermon school</td> </tr> <tr> <th>10</th> <td>40</td> <td>jon brockman</td> <td>6'7"</td> <td>255</td> <td>f</td> <td>jr</td> <td>snohomish, wa, u.s</td> <td>snohomish sr. hs</td> </tr> <tr> <th>11</th> <td>44</td> <td>darnell gant</td> <td>6'8"</td> <td>215</td> <td>f</td> <td>fr</td> <td>los angeles, ca, u.s</td> <td>crenshaw hs</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "weight (lbs." )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> </tbody> </table>

select count ( weight (lbs.) ) where hometown = 'stanwood, wa, u.s' <table_name> : table | | # | name | height | weight (lbs.) | position | class | hometown | previous team(s) | |---:|----:|:----------------------|:---------|----------------:|:-----------|:--------|:---------------------|:-------------------------------| | 0 | 0 | joel smith | 6'4" | 210 | g | rs jr | lompoc, ca, u.s | brewster academy | | 1 | 1 | venoy overton | 5'11" | 180 | g | fr | seattle, wa, u.s | franklin hs | | 2 | 4 | tim morris | 6'4" | 210 | g | sr | spokane wa, u.s | central valley hs | | 3 | 5 | justin dentmon | 5'11" | 185 | g | jr | carbondale, il, u.s | winchendon school | | 4 | 11 | matthew bryan-amaning | 6'9" | 235 | f | fr | london, england, u.k | south kent school | | 5 | 20 | ryan appleby | 6'3" | 170 | g | sr | stanwood, wa, u.s | florida | | 6 | 21 | artem wallace | 6'8" | 250 | c | jr | toledo, wa, u.s | toledo hs | | 7 | 22 | justin holiday | 6'6" | 170 | f | fr | chatsworth, ca, u.s | campbell hall school | | 8 | 24 | quincy pondexter | 6'6" | 210 | f | so | fresno, ca, u.s | san joaquin memorial hs | | 9 | 32 | joe wolfinger | 7'0" | 255 | c | rs so | portland, or, u.s | northfield mount hermon school | | 10 | 40 | jon brockman | 6'7" | 255 | f | jr | snohomish, wa, u.s | snohomish sr. hs | | 11 | 44 | darnell gant | 6'8" | 215 | f | fr | los angeles, ca, u.s | crenshaw hs |

| | count ( "weight (lbs." ) | |---:|---------------------------:| | 0 | 1 |

select no. where origin = 'mangalore central' col : no. | train no: | origin | destination | train name row 1 : 1 | 56654 | mangalore central | kozhikode | passenger row 2 : 2 | 56324 | mangalore central | coimbatore city junction | fast passenger row 3 : 3 | 56656 | mangalore central | kannur | passenger row 4 : 4 | 56643/56645 | mangalore central | kabakaputtur | passenger row 5 : 5 | 56640 | mangalore central | verna | passenger row 6 : 6 | 56647 | mangalore central | subrahmanya road | passenger row 7 : 7 | 56661 | mangalore central | cheruvathur | passenger row 8 : 8 | 70106 | mangalore central | bhatkal | demu

col : no. row 1 : 1 row 2 : 2 row 3 : 3 row 4 : 4 row 5 : 5 row 6 : 6 row 7 : 7 row 8 : 8

select no. where origin = 'mangalore central' <table_name> : table \begin{tabular}{llllll} \toprule & no. & train no: & origin & destination & train name \\ \midrule 0 & 1 & 56654 & mangalore central & kozhikode & passenger \\ 1 & 2 & 56324 & mangalore central & coimbatore city junction & fast passenger \\ 2 & 3 & 56656 & mangalore central & kannur & passenger \\ 3 & 4 & 56643/56645 & mangalore central & kabakaputtur & passenger \\ 4 & 5 & 56640 & mangalore central & verna & passenger \\ 5 & 6 & 56647 & mangalore central & subrahmanya road & passenger \\ 6 & 7 & 56661 & mangalore central & cheruvathur & passenger \\ 7 & 8 & 70106 & mangalore central & bhatkal & demu \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & no. \\ \midrule 0 & 1 \\ 1 & 2 \\ 2 & 3 \\ 3 & 4 \\ 4 & 5 \\ 5 & 6 \\ 6 & 7 \\ 7 & 8 \\ \bottomrule \end{tabular}

select no. where origin = 'mangalore central' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>no.</th> <th>train no:</th> <th>origin</th> <th>destination</th> <th>train name</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>56654</td> <td>mangalore central</td> <td>kozhikode</td> <td>passenger</td> </tr> <tr> <th>1</th> <td>2</td> <td>56324</td> <td>mangalore central</td> <td>coimbatore city junction</td> <td>fast passenger</td> </tr> <tr> <th>2</th> <td>3</td> <td>56656</td> <td>mangalore central</td> <td>kannur</td> <td>passenger</td> </tr> <tr> <th>3</th> <td>4</td> <td>56643/56645</td> <td>mangalore central</td> <td>kabakaputtur</td> <td>passenger</td> </tr> <tr> <th>4</th> <td>5</td> <td>56640</td> <td>mangalore central</td> <td>verna</td> <td>passenger</td> </tr> <tr> <th>5</th> <td>6</td> <td>56647</td> <td>mangalore central</td> <td>subrahmanya road</td> <td>passenger</td> </tr> <tr> <th>6</th> <td>7</td> <td>56661</td> <td>mangalore central</td> <td>cheruvathur</td> <td>passenger</td> </tr> <tr> <th>7</th> <td>8</td> <td>70106</td> <td>mangalore central</td> <td>bhatkal</td> <td>demu</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>no.</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> </tr> <tr> <th>1</th> <td>2</td> </tr> <tr> <th>2</th> <td>3</td> </tr> <tr> <th>3</th> <td>4</td> </tr> <tr> <th>4</th> <td>5</td> </tr> <tr> <th>5</th> <td>6</td> </tr> <tr> <th>6</th> <td>7</td> </tr> <tr> <th>7</th> <td>8</td> </tr> </tbody> </table>

select no. where origin = 'mangalore central' <table_name> : table | | no. | train no: | origin | destination | train name | |---:|------:|:------------|:------------------|:-------------------------|:---------------| | 0 | 1 | 56654 | mangalore central | kozhikode | passenger | | 1 | 2 | 56324 | mangalore central | coimbatore city junction | fast passenger | | 2 | 3 | 56656 | mangalore central | kannur | passenger | | 3 | 4 | 56643/56645 | mangalore central | kabakaputtur | passenger | | 4 | 5 | 56640 | mangalore central | verna | passenger | | 5 | 6 | 56647 | mangalore central | subrahmanya road | passenger | | 6 | 7 | 56661 | mangalore central | cheruvathur | passenger | | 7 | 8 | 70106 | mangalore central | bhatkal | demu |

| | no. | |---:|------:| | 0 | 1 | | 1 | 2 | | 2 | 3 | | 3 | 4 | | 4 | 5 | | 5 | 6 | | 6 | 7 | | 7 | 8 |

select count ( * ) where viewers < 906 col : year | network | nascar countdown | lap-by-lap | color commentator(s) | pit reporters | ratings | viewers row 1 : 2007 | espn | brent musburger suzy kolber brad daugherty | jerry punch | rusty wallace andy petree | dave burns jamie little allen bestwick mike massaro | 4.2 (4.9 cable) | 6.574 million row 2 : 2008 | espn | allen bestwick rusty wallace brad daugherty | jerry punch | dale jarrett andy petree | dave burns jamie little shannon spake mike massaro | 4.3 (5.1 cable) | 6.668 million row 3 : 2009 | espn | allen bestwick rusty wallace brad daugherty ray evernham | jerry punch | dale jarrett andy petree | dave burns jamie little shannon spake vince welch | 4.1 (4.8 cable) | 6.487 million row 4 : 2010 | espn | allen bestwick rusty wallace brad daugherty ray evernham | marty reid | dale jarrett andy petree | dave burns jamie little jerry punch vince welch | 3.6 (4.2 cable) | 5.709 million row 5 : 2011 | espn | nicole briscoe rusty wallace brad daugherty | allen bestwick | dale jarrett andy petree | dave burns jamie little jerry punch vince welch | 4.0 (4.6 cable) | 6.337 million row 6 : 2012 | espn | nicole briscoe rusty wallace brad daugherty ray evernham | allen bestwick | dale jarrett andy petree | dave burns jamie little jerry punch vince welch | 3.3 | 5.1 million row 7 : 2013 | espn | nicole briscoe rusty wallace brad daugherty ray evernham | allen bestwick | dale jarrett andy petree | dave burns jamie little jerry punch vince welch | 3.6 | 5.5 million row 8 : 2014 | espn | none | none | none | none | none | none

col : count ( "*" ) row 1 : 7

select count ( * ) where viewers < 906 <table_name> : table \begin{tabular}{lllllllll} \toprule & year & network & nascar countdown & lap-by-lap & color commentator(s) & pit reporters & ratings & viewers \\ \midrule 0 & 2007 & espn & brent musburger suzy kolber brad daugherty & jerry punch & rusty wallace andy petree & dave burns jamie little allen bestwick mike massaro & 4.2 (4.9 cable) & 6.574 million \\ 1 & 2008 & espn & allen bestwick rusty wallace brad daugherty & jerry punch & dale jarrett andy petree & dave burns jamie little shannon spake mike massaro & 4.3 (5.1 cable) & 6.668 million \\ 2 & 2009 & espn & allen bestwick rusty wallace brad daugherty ray evernham & jerry punch & dale jarrett andy petree & dave burns jamie little shannon spake vince welch & 4.1 (4.8 cable) & 6.487 million \\ 3 & 2010 & espn & allen bestwick rusty wallace brad daugherty ray evernham & marty reid & dale jarrett andy petree & dave burns jamie little jerry punch vince welch & 3.6 (4.2 cable) & 5.709 million \\ 4 & 2011 & espn & nicole briscoe rusty wallace brad daugherty & allen bestwick & dale jarrett andy petree & dave burns jamie little jerry punch vince welch & 4.0 (4.6 cable) & 6.337 million \\ 5 & 2012 & espn & nicole briscoe rusty wallace brad daugherty ray evernham & allen bestwick & dale jarrett andy petree & dave burns jamie little jerry punch vince welch & 3.3 & 5.1 million \\ 6 & 2013 & espn & nicole briscoe rusty wallace brad daugherty ray evernham & allen bestwick & dale jarrett andy petree & dave burns jamie little jerry punch vince welch & 3.6 & 5.5 million \\ 7 & 2014 & espn & none & none & none & none & none & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 7 \\ \bottomrule \end{tabular}

select count ( * ) where viewers < 906 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>network</th> <th>nascar countdown</th> <th>lap-by-lap</th> <th>color commentator(s)</th> <th>pit reporters</th> <th>ratings</th> <th>viewers</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2007</td> <td>espn</td> <td>brent musburger suzy kolber brad daugherty</td> <td>jerry punch</td> <td>rusty wallace andy petree</td> <td>dave burns jamie little allen bestwick mike massaro</td> <td>4.2 (4.9 cable)</td> <td>6.574 million</td> </tr> <tr> <th>1</th> <td>2008</td> <td>espn</td> <td>allen bestwick rusty wallace brad daugherty</td> <td>jerry punch</td> <td>dale jarrett andy petree</td> <td>dave burns jamie little shannon spake mike massaro</td> <td>4.3 (5.1 cable)</td> <td>6.668 million</td> </tr> <tr> <th>2</th> <td>2009</td> <td>espn</td> <td>allen bestwick rusty wallace brad daugherty ray evernham</td> <td>jerry punch</td> <td>dale jarrett andy petree</td> <td>dave burns jamie little shannon spake vince welch</td> <td>4.1 (4.8 cable)</td> <td>6.487 million</td> </tr> <tr> <th>3</th> <td>2010</td> <td>espn</td> <td>allen bestwick rusty wallace brad daugherty ray evernham</td> <td>marty reid</td> <td>dale jarrett andy petree</td> <td>dave burns jamie little jerry punch vince welch</td> <td>3.6 (4.2 cable)</td> <td>5.709 million</td> </tr> <tr> <th>4</th> <td>2011</td> <td>espn</td> <td>nicole briscoe rusty wallace brad daugherty</td> <td>allen bestwick</td> <td>dale jarrett andy petree</td> <td>dave burns jamie little jerry punch vince welch</td> <td>4.0 (4.6 cable)</td> <td>6.337 million</td> </tr> <tr> <th>5</th> <td>2012</td> <td>espn</td> <td>nicole briscoe rusty wallace brad daugherty ray evernham</td> <td>allen bestwick</td> <td>dale jarrett andy petree</td> <td>dave burns jamie little jerry punch vince welch</td> <td>3.3</td> <td>5.1 million</td> </tr> <tr> <th>6</th> <td>2013</td> <td>espn</td> <td>nicole briscoe rusty wallace brad daugherty ray evernham</td> <td>allen bestwick</td> <td>dale jarrett andy petree</td> <td>dave burns jamie little jerry punch vince welch</td> <td>3.6</td> <td>5.5 million</td> </tr> <tr> <th>7</th> <td>2014</td> <td>espn</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>count ( "*" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>7</td> </tr> </tbody> </table>

select count ( * ) where viewers < 906 <table_name> : table | | year | network | nascar countdown | lap-by-lap | color commentator(s) | pit reporters | ratings | viewers | |---:|-------:|:----------|:---------------------------------------------------------|:---------------|:--------------------------|:----------------------------------------------------|:----------------|:--------------| | 0 | 2007 | espn | brent musburger suzy kolber brad daugherty | jerry punch | rusty wallace andy petree | dave burns jamie little allen bestwick mike massaro | 4.2 (4.9 cable) | 6.574 million | | 1 | 2008 | espn | allen bestwick rusty wallace brad daugherty | jerry punch | dale jarrett andy petree | dave burns jamie little shannon spake mike massaro | 4.3 (5.1 cable) | 6.668 million | | 2 | 2009 | espn | allen bestwick rusty wallace brad daugherty ray evernham | jerry punch | dale jarrett andy petree | dave burns jamie little shannon spake vince welch | 4.1 (4.8 cable) | 6.487 million | | 3 | 2010 | espn | allen bestwick rusty wallace brad daugherty ray evernham | marty reid | dale jarrett andy petree | dave burns jamie little jerry punch vince welch | 3.6 (4.2 cable) | 5.709 million | | 4 | 2011 | espn | nicole briscoe rusty wallace brad daugherty | allen bestwick | dale jarrett andy petree | dave burns jamie little jerry punch vince welch | 4.0 (4.6 cable) | 6.337 million | | 5 | 2012 | espn | nicole briscoe rusty wallace brad daugherty ray evernham | allen bestwick | dale jarrett andy petree | dave burns jamie little jerry punch vince welch | 3.3 | 5.1 million | | 6 | 2013 | espn | nicole briscoe rusty wallace brad daugherty ray evernham | allen bestwick | dale jarrett andy petree | dave burns jamie little jerry punch vince welch | 3.6 | 5.5 million | | 7 | 2014 | espn | none | none | none | none | none | none |

| | count ( "*" ) | |---:|----------------:| | 0 | 7 |

select count ( * ) where outgoing manager = 'john gregory' col : team | outgoing manager | manner of departure | date of vacancy | replaced by | date of appointment | position in table row 1 : crystal palace | peter taylor | contract terminated | 8 october 2007 | neil warnock | 11 october 2007 | 19th row 2 : leicester city | martin allen | mutual consent | 29 august 2007 | gary megson | 13 september 2007 | 9th row 3 : queens park rangers | john gregory | contract terminated | 1 october 2007 | luigi de canio | 29 october 2007 | 24th row 4 : norwich city | peter grant | mutual consent | 8 october 2007 | glenn roeder | 30 october 2007 | 22nd row 5 : leicester city | gary megson | mutual consent (hired by bolton wanderers) | 24 october 2007 | ian holloway | 22 november 2007 | 19th row 6 : burnley | steve cotterill | mutual consent | 8 november 2007 | owen coyle | 22 november 2007 | 15th row 7 : preston north end | paul simpson | contract terminated | 13 november 2007 | alan irvine | 20 november 2007 | 21st row 8 : plymouth argyle | ian holloway | resigned (hired by leicester city) | 21 november 2007 | paul sturrock | 27 november 2007 | 7th row 9 : coventry city | iain dowie | contract terminated | 11 february 2008 | chris coleman | 19 february 2008 | 19th row 10 : sheffield united | bryan robson | mutual consent | 14 february 2008 | kevin blackwell | 14 february 2008 | 16th row 11 : queens park rangers | luigi de canio | mutual consent | 8 may 2008 | iain dowie | 14 may 2008 | 14th

col : count ( "*" ) row 1 : 1

select count ( * ) where outgoing manager = 'john gregory' <table_name> : table \begin{tabular}{llllllll} \toprule & team & outgoing manager & manner of departure & date of vacancy & replaced by & date of appointment & position in table \\ \midrule 0 & crystal palace & peter taylor & contract terminated & 8 october 2007 & neil warnock & 11 october 2007 & 19th \\ 1 & leicester city & martin allen & mutual consent & 29 august 2007 & gary megson & 13 september 2007 & 9th \\ 2 & queens park rangers & john gregory & contract terminated & 1 october 2007 & luigi de canio & 29 october 2007 & 24th \\ 3 & norwich city & peter grant & mutual consent & 8 october 2007 & glenn roeder & 30 october 2007 & 22nd \\ 4 & leicester city & gary megson & mutual consent (hired by bolton wanderers) & 24 october 2007 & ian holloway & 22 november 2007 & 19th \\ 5 & burnley & steve cotterill & mutual consent & 8 november 2007 & owen coyle & 22 november 2007 & 15th \\ 6 & preston north end & paul simpson & contract terminated & 13 november 2007 & alan irvine & 20 november 2007 & 21st \\ 7 & plymouth argyle & ian holloway & resigned (hired by leicester city) & 21 november 2007 & paul sturrock & 27 november 2007 & 7th \\ 8 & coventry city & iain dowie & contract terminated & 11 february 2008 & chris coleman & 19 february 2008 & 19th \\ 9 & sheffield united & bryan robson & mutual consent & 14 february 2008 & kevin blackwell & 14 february 2008 & 16th \\ 10 & queens park rangers & luigi de canio & mutual consent & 8 may 2008 & iain dowie & 14 may 2008 & 14th \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( * ) where outgoing manager = 'john gregory' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>team</th> <th>outgoing manager</th> <th>manner of departure</th> <th>date of vacancy</th> <th>replaced by</th> <th>date of appointment</th> <th>position in table</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>crystal palace</td> <td>peter taylor</td> <td>contract terminated</td> <td>8 october 2007</td> <td>neil warnock</td> <td>11 october 2007</td> <td>19th</td> </tr> <tr> <th>1</th> <td>leicester city</td> <td>martin allen</td> <td>mutual consent</td> <td>29 august 2007</td> <td>gary megson</td> <td>13 september 2007</td> <td>9th</td> </tr> <tr> <th>2</th> <td>queens park rangers</td> <td>john gregory</td> <td>contract terminated</td> <td>1 october 2007</td> <td>luigi de canio</td> <td>29 october 2007</td> <td>24th</td> </tr> <tr> <th>3</th> <td>norwich city</td> <td>peter grant</td> <td>mutual consent</td> <td>8 october 2007</td> <td>glenn roeder</td> <td>30 october 2007</td> <td>22nd</td> </tr> <tr> <th>4</th> <td>leicester city</td> <td>gary megson</td> <td>mutual consent (hired by bolton wanderers)</td> <td>24 october 2007</td> <td>ian holloway</td> <td>22 november 2007</td> <td>19th</td> </tr> <tr> <th>5</th> <td>burnley</td> <td>steve cotterill</td> <td>mutual consent</td> <td>8 november 2007</td> <td>owen coyle</td> <td>22 november 2007</td> <td>15th</td> </tr> <tr> <th>6</th> <td>preston north end</td> <td>paul simpson</td> <td>contract terminated</td> <td>13 november 2007</td> <td>alan irvine</td> <td>20 november 2007</td> <td>21st</td> </tr> <tr> <th>7</th> <td>plymouth argyle</td> <td>ian holloway</td> <td>resigned (hired by leicester city)</td> <td>21 november 2007</td> <td>paul sturrock</td> <td>27 november 2007</td> <td>7th</td> </tr> <tr> <th>8</th> <td>coventry city</td> <td>iain dowie</td> <td>contract terminated</td> <td>11 february 2008</td> <td>chris coleman</td> <td>19 february 2008</td> <td>19th</td> </tr> <tr> <th>9</th> <td>sheffield united</td> <td>bryan robson</td> <td>mutual consent</td> <td>14 february 2008</td> <td>kevin blackwell</td> <td>14 february 2008</td> <td>16th</td> </tr> <tr> <th>10</th> <td>queens park rangers</td> <td>luigi de canio</td> <td>mutual consent</td> <td>8 may 2008</td> <td>iain dowie</td> <td>14 may 2008</td> <td>14th</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 outgoing manager = 'john gregory' <table_name> : table | | team | outgoing manager | manner of departure | date of vacancy | replaced by | date of appointment | position in table | |---:|:--------------------|:-------------------|:-------------------------------------------|:------------------|:----------------|:----------------------|:--------------------| | 0 | crystal palace | peter taylor | contract terminated | 8 october 2007 | neil warnock | 11 october 2007 | 19th | | 1 | leicester city | martin allen | mutual consent | 29 august 2007 | gary megson | 13 september 2007 | 9th | | 2 | queens park rangers | john gregory | contract terminated | 1 october 2007 | luigi de canio | 29 october 2007 | 24th | | 3 | norwich city | peter grant | mutual consent | 8 october 2007 | glenn roeder | 30 october 2007 | 22nd | | 4 | leicester city | gary megson | mutual consent (hired by bolton wanderers) | 24 october 2007 | ian holloway | 22 november 2007 | 19th | | 5 | burnley | steve cotterill | mutual consent | 8 november 2007 | owen coyle | 22 november 2007 | 15th | | 6 | preston north end | paul simpson | contract terminated | 13 november 2007 | alan irvine | 20 november 2007 | 21st | | 7 | plymouth argyle | ian holloway | resigned (hired by leicester city) | 21 november 2007 | paul sturrock | 27 november 2007 | 7th | | 8 | coventry city | iain dowie | contract terminated | 11 february 2008 | chris coleman | 19 february 2008 | 19th | | 9 | sheffield united | bryan robson | mutual consent | 14 february 2008 | kevin blackwell | 14 february 2008 | 16th | | 10 | queens park rangers | luigi de canio | mutual consent | 8 may 2008 | iain dowie | 14 may 2008 | 14th |

| | count ( "*" ) | |---:|----------------:| | 0 | 1 |

select count ( region ) where density > 1600 col : region | population | area | density row 1 : danish capital region | 1823109 | 2,864 km2 | 636.5/km2 row 2 : remainder | 608036 | 6,970 km2 | 87.2/km2 row 3 : total for danish part: | 2431145 | 9,834 km2 | 247.2/km2 row 4 : south skane | 683886 | 2,680 km2 | 255.1/km2 row 5 : west skane | 305982 | 2,730 km2 | 112.1/km2 row 6 : north-east skane | 162829 | 3,705 km2 | 43.9/km2 row 7 : total for swedish part: | 1125697 | 11,035 km2 | 102.0/km2 row 8 : grand total | 3583842 | 20,869 km2 | 171.7/km2

col : count ( "region" ) row 1 : 6

select count ( region ) where density > 1600 <table_name> : table \begin{tabular}{lllll} \toprule & region & population & area & density \\ \midrule 0 & danish capital region & 1823109 & 2,864 km2 & 636.5/km2 \\ 1 & remainder & 608036 & 6,970 km2 & 87.2/km2 \\ 2 & total for danish part: & 2431145 & 9,834 km2 & 247.2/km2 \\ 3 & south skane & 683886 & 2,680 km2 & 255.1/km2 \\ 4 & west skane & 305982 & 2,730 km2 & 112.1/km2 \\ 5 & north-east skane & 162829 & 3,705 km2 & 43.9/km2 \\ 6 & total for swedish part: & 1125697 & 11,035 km2 & 102.0/km2 \\ 7 & grand total & 3583842 & 20,869 km2 & 171.7/km2 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "region" ) \\ \midrule 0 & 6 \\ \bottomrule \end{tabular}

select count ( region ) where density > 1600 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>region</th> <th>population</th> <th>area</th> <th>density</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>danish capital region</td> <td>1823109</td> <td>2,864 km2</td> <td>636.5/km2</td> </tr> <tr> <th>1</th> <td>remainder</td> <td>608036</td> <td>6,970 km2</td> <td>87.2/km2</td> </tr> <tr> <th>2</th> <td>total for danish part:</td> <td>2431145</td> <td>9,834 km2</td> <td>247.2/km2</td> </tr> <tr> <th>3</th> <td>south skane</td> <td>683886</td> <td>2,680 km2</td> <td>255.1/km2</td> </tr> <tr> <th>4</th> <td>west skane</td> <td>305982</td> <td>2,730 km2</td> <td>112.1/km2</td> </tr> <tr> <th>5</th> <td>north-east skane</td> <td>162829</td> <td>3,705 km2</td> <td>43.9/km2</td> </tr> <tr> <th>6</th> <td>total for swedish part:</td> <td>1125697</td> <td>11,035 km2</td> <td>102.0/km2</td> </tr> <tr> <th>7</th> <td>grand total</td> <td>3583842</td> <td>20,869 km2</td> <td>171.7/km2</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "region" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>6</td> </tr> </tbody> </table>

select count ( region ) where density > 1600 <table_name> : table | | region | population | area | density | |---:|:------------------------|-------------:|:-----------|:----------| | 0 | danish capital region | 1823109 | 2,864 km2 | 636.5/km2 | | 1 | remainder | 608036 | 6,970 km2 | 87.2/km2 | | 2 | total for danish part: | 2431145 | 9,834 km2 | 247.2/km2 | | 3 | south skane | 683886 | 2,680 km2 | 255.1/km2 | | 4 | west skane | 305982 | 2,730 km2 | 112.1/km2 | | 5 | north-east skane | 162829 | 3,705 km2 | 43.9/km2 | | 6 | total for swedish part: | 1125697 | 11,035 km2 | 102.0/km2 | | 7 | grand total | 3583842 | 20,869 km2 | 171.7/km2 |

| | count ( "region" ) | |---:|---------------------:| | 0 | 6 |

select area where state/ province = 'on' group by area order by count ( * ) desc limit 1 col : rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 row 1 : 1 | chicago | il-in-wi | 9804845 | 10935100 | 1130255 row 2 : 2 | toronto | on | 5741400 | 7408000 | 1666600 row 3 : 3 | detroit | mi | 5327764 | 6191000 | 863236 row 4 : 4 | cleveland | oh | 2891988 | 3172000 | 280012 row 5 : 5 | milwaukee | wi | 1760268 | 1913000 | 157732 row 6 : 6 | ottawa - gatineau | on-qc | 1451415 | 1596556 | 145141 row 7 : 7 | grand rapids | mi | 1327366 | 1530000 | 202634 row 8 : 8 | buffalo | ny | 1203493 | 1040400 | -163093 row 9 : 9 | rochester | ny | 1149653 | 1248600 | 98947 row 10 : 10 | hamilton | on | 740200 | 954858 | 214658 row 11 : 11 | toledo | oh | 672220 | 672220 | 0 row 12 : 12 | lansing | mi | 523609 | 547325 | 23716 row 13 : 13 | kitchener - cambridge - waterloo | on | 492400 | 635196 | 142796 row 14 : 14 | london | on | 492200 | 634938 | 142738 row 15 : 15 | fort wayne | in | 414315 | 455623 | 39366 row 16 : 16 | st. catharines - niagara | on | 404400 | 521676 | 117276 row 17 : 17 | windsor | on | 330900 | 426861 | 95961 row 18 : 18 | erie | pa | 280985 | none | none

col : area row 1 : windsor

select area where state/ province = 'on' group by area order by count ( * ) desc limit 1 <table_name> : table \begin{tabular}{lllllll} \toprule & rank & area & state/ province & csa/cma 2009 population & projected 2025 population & projected increase 2009-2025 \\ \midrule 0 & 1 & chicago & il-in-wi & 9804845 & 10935100 & 1130255 \\ 1 & 2 & toronto & on & 5741400 & 7408000 & 1666600 \\ 2 & 3 & detroit & mi & 5327764 & 6191000 & 863236 \\ 3 & 4 & cleveland & oh & 2891988 & 3172000 & 280012 \\ 4 & 5 & milwaukee & wi & 1760268 & 1913000 & 157732 \\ 5 & 6 & ottawa - gatineau & on-qc & 1451415 & 1596556 & 145141 \\ 6 & 7 & grand rapids & mi & 1327366 & 1530000 & 202634 \\ 7 & 8 & buffalo & ny & 1203493 & 1040400 & -163093 \\ 8 & 9 & rochester & ny & 1149653 & 1248600 & 98947 \\ 9 & 10 & hamilton & on & 740200 & 954858 & 214658 \\ 10 & 11 & toledo & oh & 672220 & 672220 & 0 \\ 11 & 12 & lansing & mi & 523609 & 547325 & 23716 \\ 12 & 13 & kitchener - cambridge - waterloo & on & 492400 & 635196 & 142796 \\ 13 & 14 & london & on & 492200 & 634938 & 142738 \\ 14 & 15 & fort wayne & in & 414315 & 455623 & 39366 \\ 15 & 16 & st. catharines - niagara & on & 404400 & 521676 & 117276 \\ 16 & 17 & windsor & on & 330900 & 426861 & 95961 \\ 17 & 18 & erie & pa & 280985 & none & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & area \\ \midrule 0 & windsor \\ \bottomrule \end{tabular}

select area where state/ province = 'on' group by area order by count ( * ) desc limit 1 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>rank</th> <th>area</th> <th>state/ province</th> <th>csa/cma 2009 population</th> <th>projected 2025 population</th> <th>projected increase 2009-2025</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>chicago</td> <td>il-in-wi</td> <td>9804845</td> <td>10935100</td> <td>1130255</td> </tr> <tr> <th>1</th> <td>2</td> <td>toronto</td> <td>on</td> <td>5741400</td> <td>7408000</td> <td>1666600</td> </tr> <tr> <th>2</th> <td>3</td> <td>detroit</td> <td>mi</td> <td>5327764</td> <td>6191000</td> <td>863236</td> </tr> <tr> <th>3</th> <td>4</td> <td>cleveland</td> <td>oh</td> <td>2891988</td> <td>3172000</td> <td>280012</td> </tr> <tr> <th>4</th> <td>5</td> <td>milwaukee</td> <td>wi</td> <td>1760268</td> <td>1913000</td> <td>157732</td> </tr> <tr> <th>5</th> <td>6</td> <td>ottawa - gatineau</td> <td>on-qc</td> <td>1451415</td> <td>1596556</td> <td>145141</td> </tr> <tr> <th>6</th> <td>7</td> <td>grand rapids</td> <td>mi</td> <td>1327366</td> <td>1530000</td> <td>202634</td> </tr> <tr> <th>7</th> <td>8</td> <td>buffalo</td> <td>ny</td> <td>1203493</td> <td>1040400</td> <td>-163093</td> </tr> <tr> <th>8</th> <td>9</td> <td>rochester</td> <td>ny</td> <td>1149653</td> <td>1248600</td> <td>98947</td> </tr> <tr> <th>9</th> <td>10</td> <td>hamilton</td> <td>on</td> <td>740200</td> <td>954858</td> <td>214658</td> </tr> <tr> <th>10</th> <td>11</td> <td>toledo</td> <td>oh</td> <td>672220</td> <td>672220</td> <td>0</td> </tr> <tr> <th>11</th> <td>12</td> <td>lansing</td> <td>mi</td> <td>523609</td> <td>547325</td> <td>23716</td> </tr> <tr> <th>12</th> <td>13</td> <td>kitchener - cambridge - waterloo</td> <td>on</td> <td>492400</td> <td>635196</td> <td>142796</td> </tr> <tr> <th>13</th> <td>14</td> <td>london</td> <td>on</td> <td>492200</td> <td>634938</td> <td>142738</td> </tr> <tr> <th>14</th> <td>15</td> <td>fort wayne</td> <td>in</td> <td>414315</td> <td>455623</td> <td>39366</td> </tr> <tr> <th>15</th> <td>16</td> <td>st. catharines - niagara</td> <td>on</td> <td>404400</td> <td>521676</td> <td>117276</td> </tr> <tr> <th>16</th> <td>17</td> <td>windsor</td> <td>on</td> <td>330900</td> <td>426861</td> <td>95961</td> </tr> <tr> <th>17</th> <td>18</td> <td>erie</td> <td>pa</td> <td>280985</td> <td>none</td> <td>none</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>area</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>windsor</td> </tr> </tbody> </table>

select area where state/ province = 'on' group by area order by count ( * ) desc limit 1 <table_name> : table | | rank | area | state/ province | csa/cma 2009 population | projected 2025 population | projected increase 2009-2025 | |---:|-------:|:---------------------------------|:------------------|--------------------------:|:----------------------------|:-------------------------------| | 0 | 1 | chicago | il-in-wi | 9804845 | 10935100 | 1130255 | | 1 | 2 | toronto | on | 5741400 | 7408000 | 1666600 | | 2 | 3 | detroit | mi | 5327764 | 6191000 | 863236 | | 3 | 4 | cleveland | oh | 2891988 | 3172000 | 280012 | | 4 | 5 | milwaukee | wi | 1760268 | 1913000 | 157732 | | 5 | 6 | ottawa - gatineau | on-qc | 1451415 | 1596556 | 145141 | | 6 | 7 | grand rapids | mi | 1327366 | 1530000 | 202634 | | 7 | 8 | buffalo | ny | 1203493 | 1040400 | -163093 | | 8 | 9 | rochester | ny | 1149653 | 1248600 | 98947 | | 9 | 10 | hamilton | on | 740200 | 954858 | 214658 | | 10 | 11 | toledo | oh | 672220 | 672220 | 0 | | 11 | 12 | lansing | mi | 523609 | 547325 | 23716 | | 12 | 13 | kitchener - cambridge - waterloo | on | 492400 | 635196 | 142796 | | 13 | 14 | london | on | 492200 | 634938 | 142738 | | 14 | 15 | fort wayne | in | 414315 | 455623 | 39366 | | 15 | 16 | st. catharines - niagara | on | 404400 | 521676 | 117276 | | 16 | 17 | windsor | on | 330900 | 426861 | 95961 | | 17 | 18 | erie | pa | 280985 | none | none |

| | area | |---:|:--------| | 0 | windsor |

select count ( record ) where year > 433 col : year | record | finish | manager | playoffs row 1 : 1961 | 68-86 | 6th | tommy heath / bill werle | none row 2 : 1962 | 77-76 | 5th | irv noren | none row 3 : 1963 | 81-77 | 4th | irv noren | none row 4 : 1964 | 60-98 | 10th | bob lemon | none row 5 : 1965 | 75-72 | 6th (t) | george case | none row 6 : 1966 | 63-84 | 10th | george case | none row 7 : 1967 | 60-87 | 12th | wayne terwilliger | none row 8 : 1968 | 78-69 | 3rd | bill adair | none row 9 : 1969 | 74-72 | 4th | chuck tanner | none row 10 : 1970 | 98-48 | 1st | chuck tanner | lost league finals row 11 : 1971 | 73-73 | 4th (t) | bill adair | none row 12 : 1972 | 74-74 | 5th | rocky bridges | none row 13 : 1973 | 70-74 | 5th | rocky bridges / warren hacker / roy hartsfield | none row 14 : 1974 | 67-77 | 6th | roy hartsfield | none row 15 : 1975 | 88-56 | 1st | roy hartsfield | league champs row 16 : 1976 | 77-68 | 2nd | roy hartsfield | league champs row 17 : 1977 | 79-67 | 2nd | dick phillips | lost league finals row 18 : 1978 | 56-82 | 8th | dick phillips | none row 19 : 1979 | 72-76 | 8th | dick phillips | lost league finals row 20 : 1980 | 76-65 | 5th | doug rader | lost league finals row 21 : 1981 | 72-65 | 3rd (t) | doug rader | lost in 1st round row 22 : 1982 | 73-71 | 5th | doug rader | none row 23 : 1983 | 72-71 | 5th | tom trebelhorn | none row 24 : 1984 | 87-53 | 1st | tommy sandt | lost league finals row 25 : 1985 | 84-59 | 1st | tommy sandt | lost in 1st round row 26 : 1986 | 65-79 | 9th | tommy sandt | none row 27 : 1987 | 65-75 | 9th | bob bailey | none

col : count ( "record" ) row 1 : 0

select count ( record ) where year > 433 <table_name> : table \begin{tabular}{llllll} \toprule & year & record & finish & manager & playoffs \\ \midrule 0 & 1961 & 68-86 & 6th & tommy heath / bill werle & none \\ 1 & 1962 & 77-76 & 5th & irv noren & none \\ 2 & 1963 & 81-77 & 4th & irv noren & none \\ 3 & 1964 & 60-98 & 10th & bob lemon & none \\ 4 & 1965 & 75-72 & 6th (t) & george case & none \\ 5 & 1966 & 63-84 & 10th & george case & none \\ 6 & 1967 & 60-87 & 12th & wayne terwilliger & none \\ 7 & 1968 & 78-69 & 3rd & bill adair & none \\ 8 & 1969 & 74-72 & 4th & chuck tanner & none \\ 9 & 1970 & 98-48 & 1st & chuck tanner & lost league finals \\ 10 & 1971 & 73-73 & 4th (t) & bill adair & none \\ 11 & 1972 & 74-74 & 5th & rocky bridges & none \\ 12 & 1973 & 70-74 & 5th & rocky bridges / warren hacker / roy hartsfield & none \\ 13 & 1974 & 67-77 & 6th & roy hartsfield & none \\ 14 & 1975 & 88-56 & 1st & roy hartsfield & league champs \\ 15 & 1976 & 77-68 & 2nd & roy hartsfield & league champs \\ 16 & 1977 & 79-67 & 2nd & dick phillips & lost league finals \\ 17 & 1978 & 56-82 & 8th & dick phillips & none \\ 18 & 1979 & 72-76 & 8th & dick phillips & lost league finals \\ 19 & 1980 & 76-65 & 5th & doug rader & lost league finals \\ 20 & 1981 & 72-65 & 3rd (t) & doug rader & lost in 1st round \\ 21 & 1982 & 73-71 & 5th & doug rader & none \\ 22 & 1983 & 72-71 & 5th & tom trebelhorn & none \\ 23 & 1984 & 87-53 & 1st & tommy sandt & lost league finals \\ 24 & 1985 & 84-59 & 1st & tommy sandt & lost in 1st round \\ 25 & 1986 & 65-79 & 9th & tommy sandt & none \\ 26 & 1987 & 65-75 & 9th & bob bailey & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "record" ) \\ \midrule 0 & 0 \\ \bottomrule \end{tabular}

select count ( record ) where year > 433 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>record</th> <th>finish</th> <th>manager</th> <th>playoffs</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1961</td> <td>68-86</td> <td>6th</td> <td>tommy heath / bill werle</td> <td>none</td> </tr> <tr> <th>1</th> <td>1962</td> <td>77-76</td> <td>5th</td> <td>irv noren</td> <td>none</td> </tr> <tr> <th>2</th> <td>1963</td> <td>81-77</td> <td>4th</td> <td>irv noren</td> <td>none</td> </tr> <tr> <th>3</th> <td>1964</td> <td>60-98</td> <td>10th</td> <td>bob lemon</td> <td>none</td> </tr> <tr> <th>4</th> <td>1965</td> <td>75-72</td> <td>6th (t)</td> <td>george case</td> <td>none</td> </tr> <tr> <th>5</th> <td>1966</td> <td>63-84</td> <td>10th</td> <td>george case</td> <td>none</td> </tr> <tr> <th>6</th> <td>1967</td> <td>60-87</td> <td>12th</td> <td>wayne terwilliger</td> <td>none</td> </tr> <tr> <th>7</th> <td>1968</td> <td>78-69</td> <td>3rd</td> <td>bill adair</td> <td>none</td> </tr> <tr> <th>8</th> <td>1969</td> <td>74-72</td> <td>4th</td> <td>chuck tanner</td> <td>none</td> </tr> <tr> <th>9</th> <td>1970</td> <td>98-48</td> <td>1st</td> <td>chuck tanner</td> <td>lost league finals</td> </tr> <tr> <th>10</th> <td>1971</td> <td>73-73</td> <td>4th (t)</td> <td>bill adair</td> <td>none</td> </tr> <tr> <th>11</th> <td>1972</td> <td>74-74</td> <td>5th</td> <td>rocky bridges</td> <td>none</td> </tr> <tr> <th>12</th> <td>1973</td> <td>70-74</td> <td>5th</td> <td>rocky bridges / warren hacker / roy hartsfield</td> <td>none</td> </tr> <tr> <th>13</th> <td>1974</td> <td>67-77</td> <td>6th</td> <td>roy hartsfield</td> <td>none</td> </tr> <tr> <th>14</th> <td>1975</td> <td>88-56</td> <td>1st</td> <td>roy hartsfield</td> <td>league champs</td> </tr> <tr> <th>15</th> <td>1976</td> <td>77-68</td> <td>2nd</td> <td>roy hartsfield</td> <td>league champs</td> </tr> <tr> <th>16</th> <td>1977</td> <td>79-67</td> <td>2nd</td> <td>dick phillips</td> <td>lost league finals</td> </tr> <tr> <th>17</th> <td>1978</td> <td>56-82</td> <td>8th</td> <td>dick phillips</td> <td>none</td> </tr> <tr> <th>18</th> <td>1979</td> <td>72-76</td> <td>8th</td> <td>dick phillips</td> <td>lost league finals</td> </tr> <tr> <th>19</th> <td>1980</td> <td>76-65</td> <td>5th</td> <td>doug rader</td> <td>lost league finals</td> </tr> <tr> <th>20</th> <td>1981</td> <td>72-65</td> <td>3rd (t)</td> <td>doug rader</td> <td>lost in 1st round</td> </tr> <tr> <th>21</th> <td>1982</td> <td>73-71</td> <td>5th</td> <td>doug rader</td> <td>none</td> </tr> <tr> <th>22</th> <td>1983</td> <td>72-71</td> <td>5th</td> <td>tom trebelhorn</td> <td>none</td> </tr> <tr> <th>23</th> <td>1984</td> <td>87-53</td> <td>1st</td> <td>tommy sandt</td> <td>lost league finals</td> </tr> <tr> <th>24</th> <td>1985</td> <td>84-59</td> <td>1st</td> <td>tommy sandt</td> <td>lost in 1st round</td> </tr> <tr> <th>25</th> <td>1986</td> <td>65-79</td> <td>9th</td> <td>tommy sandt</td> <td>none</td> </tr> <tr> <th>26</th> <td>1987</td> <td>65-75</td> <td>9th</td> <td>bob bailey</td> <td>none</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "record" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>0</td> </tr> </tbody> </table>

select count ( record ) where year > 433 <table_name> : table | | year | record | finish | manager | playoffs | |---:|-------:|:---------|:---------|:-----------------------------------------------|:-------------------| | 0 | 1961 | 68-86 | 6th | tommy heath / bill werle | none | | 1 | 1962 | 77-76 | 5th | irv noren | none | | 2 | 1963 | 81-77 | 4th | irv noren | none | | 3 | 1964 | 60-98 | 10th | bob lemon | none | | 4 | 1965 | 75-72 | 6th (t) | george case | none | | 5 | 1966 | 63-84 | 10th | george case | none | | 6 | 1967 | 60-87 | 12th | wayne terwilliger | none | | 7 | 1968 | 78-69 | 3rd | bill adair | none | | 8 | 1969 | 74-72 | 4th | chuck tanner | none | | 9 | 1970 | 98-48 | 1st | chuck tanner | lost league finals | | 10 | 1971 | 73-73 | 4th (t) | bill adair | none | | 11 | 1972 | 74-74 | 5th | rocky bridges | none | | 12 | 1973 | 70-74 | 5th | rocky bridges / warren hacker / roy hartsfield | none | | 13 | 1974 | 67-77 | 6th | roy hartsfield | none | | 14 | 1975 | 88-56 | 1st | roy hartsfield | league champs | | 15 | 1976 | 77-68 | 2nd | roy hartsfield | league champs | | 16 | 1977 | 79-67 | 2nd | dick phillips | lost league finals | | 17 | 1978 | 56-82 | 8th | dick phillips | none | | 18 | 1979 | 72-76 | 8th | dick phillips | lost league finals | | 19 | 1980 | 76-65 | 5th | doug rader | lost league finals | | 20 | 1981 | 72-65 | 3rd (t) | doug rader | lost in 1st round | | 21 | 1982 | 73-71 | 5th | doug rader | none | | 22 | 1983 | 72-71 | 5th | tom trebelhorn | none | | 23 | 1984 | 87-53 | 1st | tommy sandt | lost league finals | | 24 | 1985 | 84-59 | 1st | tommy sandt | lost in 1st round | | 25 | 1986 | 65-79 | 9th | tommy sandt | none | | 26 | 1987 | 65-75 | 9th | bob bailey | none |

| | count ( "record" ) | |---:|---------------------:| | 0 | 0 |

select event where position = '15th' col : year | competition | venue | position | event | notes row 1 : 2002 | central american and caribbean junior championships (u-17) | bridgetown, barbados | 1st | 5 km | 21:24.33 cr row 2 : 2004 | central american and caribbean junior championships (u-20) | coatzacoalcos, mexico | 1st | 10 km | 43:22.0 row 3 : 2004 | world junior championships | grosseto, italy | 4th | 10 km | 41:01.6 row 4 : 2005 | world championships | helsinki, finland | 8th | 20 km | 1:20:45 row 5 : 2006 | central american and caribbean games | cartagena, colombia | 2nd | 20 km | 1:26:30 row 6 : 2007 | world championships | osaka, japan | 4th | 20 km | 1:23:36 row 7 : 2008 | olympic games | beijing, pr china | 15th | 20 km | 1:21:53 row 8 : 2009 | world championships | berlin, germany | 3rd | 20 km | 1:19:22 row 9 : 2010 | central american and caribbean games | mayaguez, puerto rico | 1st | 20 km | 1:22:32 gr row 10 : 2011 | world championships | daegu, korea | 15th | 20 km | 1:23:05 row 11 : 2011 | pan american games | guadalajara, mexico | 6th | 20 km | 1:25:00

col : event row 1 : 20 km row 2 : 20 km

select event where position = '15th' <table_name> : table \begin{tabular}{lllllll} \toprule & year & competition & venue & position & event & notes \\ \midrule 0 & 2002 & central american and caribbean junior championships (u-17) & bridgetown, barbados & 1st & 5 km & 21:24.33 cr \\ 1 & 2004 & central american and caribbean junior championships (u-20) & coatzacoalcos, mexico & 1st & 10 km & 43:22.0 \\ 2 & 2004 & world junior championships & grosseto, italy & 4th & 10 km & 41:01.6 \\ 3 & 2005 & world championships & helsinki, finland & 8th & 20 km & 1:20:45 \\ 4 & 2006 & central american and caribbean games & cartagena, colombia & 2nd & 20 km & 1:26:30 \\ 5 & 2007 & world championships & osaka, japan & 4th & 20 km & 1:23:36 \\ 6 & 2008 & olympic games & beijing, pr china & 15th & 20 km & 1:21:53 \\ 7 & 2009 & world championships & berlin, germany & 3rd & 20 km & 1:19:22 \\ 8 & 2010 & central american and caribbean games & mayaguez, puerto rico & 1st & 20 km & 1:22:32 gr \\ 9 & 2011 & world championships & daegu, korea & 15th & 20 km & 1:23:05 \\ 10 & 2011 & pan american games & guadalajara, mexico & 6th & 20 km & 1:25:00 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & event \\ \midrule 0 & 20 km \\ 1 & 20 km \\ \bottomrule \end{tabular}

select event where position = '15th' <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>2002</td> <td>central american and caribbean junior championships (u-17)</td> <td>bridgetown, barbados</td> <td>1st</td> <td>5 km</td> <td>21:24.33 cr</td> </tr> <tr> <th>1</th> <td>2004</td> <td>central american and caribbean junior championships (u-20)</td> <td>coatzacoalcos, mexico</td> <td>1st</td> <td>10 km</td> <td>43:22.0</td> </tr> <tr> <th>2</th> <td>2004</td> <td>world junior championships</td> <td>grosseto, italy</td> <td>4th</td> <td>10 km</td> <td>41:01.6</td> </tr> <tr> <th>3</th> <td>2005</td> <td>world championships</td> <td>helsinki, finland</td> <td>8th</td> <td>20 km</td> <td>1:20:45</td> </tr> <tr> <th>4</th> <td>2006</td> <td>central american and caribbean games</td> <td>cartagena, colombia</td> <td>2nd</td> <td>20 km</td> <td>1:26:30</td> </tr> <tr> <th>5</th> <td>2007</td> <td>world championships</td> <td>osaka, japan</td> <td>4th</td> <td>20 km</td> <td>1:23:36</td> </tr> <tr> <th>6</th> <td>2008</td> <td>olympic games</td> <td>beijing, pr china</td> <td>15th</td> <td>20 km</td> <td>1:21:53</td> </tr> <tr> <th>7</th> <td>2009</td> <td>world championships</td> <td>berlin, germany</td> <td>3rd</td> <td>20 km</td> <td>1:19:22</td> </tr> <tr> <th>8</th> <td>2010</td> <td>central american and caribbean games</td> <td>mayaguez, puerto rico</td> <td>1st</td> <td>20 km</td> <td>1:22:32 gr</td> </tr> <tr> <th>9</th> <td>2011</td> <td>world championships</td> <td>daegu, korea</td> <td>15th</td> <td>20 km</td> <td>1:23:05</td> </tr> <tr> <th>10</th> <td>2011</td> <td>pan american games</td> <td>guadalajara, mexico</td> <td>6th</td> <td>20 km</td> <td>1:25:00</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>event</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>20 km</td> </tr> <tr> <th>1</th> <td>20 km</td> </tr> </tbody> </table>

select event where position = '15th' <table_name> : table | | year | competition | venue | position | event | notes | |---:|-------:|:-----------------------------------------------------------|:----------------------|:-----------|:--------|:------------| | 0 | 2002 | central american and caribbean junior championships (u-17) | bridgetown, barbados | 1st | 5 km | 21:24.33 cr | | 1 | 2004 | central american and caribbean junior championships (u-20) | coatzacoalcos, mexico | 1st | 10 km | 43:22.0 | | 2 | 2004 | world junior championships | grosseto, italy | 4th | 10 km | 41:01.6 | | 3 | 2005 | world championships | helsinki, finland | 8th | 20 km | 1:20:45 | | 4 | 2006 | central american and caribbean games | cartagena, colombia | 2nd | 20 km | 1:26:30 | | 5 | 2007 | world championships | osaka, japan | 4th | 20 km | 1:23:36 | | 6 | 2008 | olympic games | beijing, pr china | 15th | 20 km | 1:21:53 | | 7 | 2009 | world championships | berlin, germany | 3rd | 20 km | 1:19:22 | | 8 | 2010 | central american and caribbean games | mayaguez, puerto rico | 1st | 20 km | 1:22:32 gr | | 9 | 2011 | world championships | daegu, korea | 15th | 20 km | 1:23:05 | | 10 | 2011 | pan american games | guadalajara, mexico | 6th | 20 km | 1:25:00 |

| | event | |---:|:--------| | 0 | 20 km | | 1 | 20 km |

select name where time < '13.45' order by time desc limit 1 col : rank | heat | name | nationality | time | notes row 1 : 1 | 1 | lacena golding-clarke | jamaica | 12.74 | q, pb row 2 : 2 | 1 | vonette dixon | jamaica | 12.83 | q, pb row 3 : 3 | 2 | diane allahgreen | england | 12.92 | q, pb row 4 : 4 | 2 | brigitte foster | jamaica | 12.98 | q row 5 : 5 | 2 | angela atede | nigeria | 13.01 | q, sb row 6 : 6 | 1 | angela whyte | canada | 13.03 | q, pb row 7 : 7 | 1 | julie pratt | england | 13.08 | q, pb row 8 : 8 | 2 | jacquie munro | australia | 13.22 | q row 9 : 9 | 1 | melanie wilkins | england | 13.29 | none row 10 : 9 | 2 | sriyani kulawansa | sri lanka | 13.29 | none row 11 : 11 | 1 | fiona cullen | australia | 13.45 | none row 12 : 12 | 2 | rachel king | wales | 13.58 | none row 13 : 13 | 2 | tamsin stephens | northern ireland | 13.59 | none row 14 : 14 | 1 | christy akinremi | nigeria | 13.73 | none row 15 : none | 2 | shabana khattak | pakistan | dnf | none row 16 : none | 1 | carole kaboud mebam | cameroon | dns | none row 17 : none | 1 | olutoyin augustus | nigeria | dns | none

col : name row 1 : melanie wilkins

select name where time < '13.45' order by time desc limit 1 <table_name> : table \begin{tabular}{lllllll} \toprule & rank & heat & name & nationality & time & notes \\ \midrule 0 & 1 & 1 & lacena golding-clarke & jamaica & 12.74 & q, pb \\ 1 & 2 & 1 & vonette dixon & jamaica & 12.83 & q, pb \\ 2 & 3 & 2 & diane allahgreen & england & 12.92 & q, pb \\ 3 & 4 & 2 & brigitte foster & jamaica & 12.98 & q \\ 4 & 5 & 2 & angela atede & nigeria & 13.01 & q, sb \\ 5 & 6 & 1 & angela whyte & canada & 13.03 & q, pb \\ 6 & 7 & 1 & julie pratt & england & 13.08 & q, pb \\ 7 & 8 & 2 & jacquie munro & australia & 13.22 & q \\ 8 & 9 & 1 & melanie wilkins & england & 13.29 & none \\ 9 & 9 & 2 & sriyani kulawansa & sri lanka & 13.29 & none \\ 10 & 11 & 1 & fiona cullen & australia & 13.45 & none \\ 11 & 12 & 2 & rachel king & wales & 13.58 & none \\ 12 & 13 & 2 & tamsin stephens & northern ireland & 13.59 & none \\ 13 & 14 & 1 & christy akinremi & nigeria & 13.73 & none \\ 14 & none & 2 & shabana khattak & pakistan & dnf & none \\ 15 & none & 1 & carole kaboud mebam & cameroon & dns & none \\ 16 & none & 1 & olutoyin augustus & nigeria & dns & none \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & name \\ \midrule 0 & melanie wilkins \\ \bottomrule \end{tabular}

select name where time < '13.45' order by time desc limit 1 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>rank</th> <th>heat</th> <th>name</th> <th>nationality</th> <th>time</th> <th>notes</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1</td> <td>1</td> <td>lacena golding-clarke</td> <td>jamaica</td> <td>12.74</td> <td>q, pb</td> </tr> <tr> <th>1</th> <td>2</td> <td>1</td> <td>vonette dixon</td> <td>jamaica</td> <td>12.83</td> <td>q, pb</td> </tr> <tr> <th>2</th> <td>3</td> <td>2</td> <td>diane allahgreen</td> <td>england</td> <td>12.92</td> <td>q, pb</td> </tr> <tr> <th>3</th> <td>4</td> <td>2</td> <td>brigitte foster</td> <td>jamaica</td> <td>12.98</td> <td>q</td> </tr> <tr> <th>4</th> <td>5</td> <td>2</td> <td>angela atede</td> <td>nigeria</td> <td>13.01</td> <td>q, sb</td> </tr> <tr> <th>5</th> <td>6</td> <td>1</td> <td>angela whyte</td> <td>canada</td> <td>13.03</td> <td>q, pb</td> </tr> <tr> <th>6</th> <td>7</td> <td>1</td> <td>julie pratt</td> <td>england</td> <td>13.08</td> <td>q, pb</td> </tr> <tr> <th>7</th> <td>8</td> <td>2</td> <td>jacquie munro</td> <td>australia</td> <td>13.22</td> <td>q</td> </tr> <tr> <th>8</th> <td>9</td> <td>1</td> <td>melanie wilkins</td> <td>england</td> <td>13.29</td> <td>none</td> </tr> <tr> <th>9</th> <td>9</td> <td>2</td> <td>sriyani kulawansa</td> <td>sri lanka</td> <td>13.29</td> <td>none</td> </tr> <tr> <th>10</th> <td>11</td> <td>1</td> <td>fiona cullen</td> <td>australia</td> <td>13.45</td> <td>none</td> </tr> <tr> <th>11</th> <td>12</td> <td>2</td> <td>rachel king</td> <td>wales</td> <td>13.58</td> <td>none</td> </tr> <tr> <th>12</th> <td>13</td> <td>2</td> <td>tamsin stephens</td> <td>northern ireland</td> <td>13.59</td> <td>none</td> </tr> <tr> <th>13</th> <td>14</td> <td>1</td> <td>christy akinremi</td> <td>nigeria</td> <td>13.73</td> <td>none</td> </tr> <tr> <th>14</th> <td>none</td> <td>2</td> <td>shabana khattak</td> <td>pakistan</td> <td>dnf</td> <td>none</td> </tr> <tr> <th>15</th> <td>none</td> <td>1</td> <td>carole kaboud mebam</td> <td>cameroon</td> <td>dns</td> <td>none</td> </tr> <tr> <th>16</th> <td>none</td> <td>1</td> <td>olutoyin augustus</td> <td>nigeria</td> <td>dns</td> <td>none</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>melanie wilkins</td> </tr> </tbody> </table>

select name where time < '13.45' order by time desc limit 1 <table_name> : table | | rank | heat | name | nationality | time | notes | |---:|:-------|-------:|:----------------------|:-----------------|:-------|:--------| | 0 | 1 | 1 | lacena golding-clarke | jamaica | 12.74 | q, pb | | 1 | 2 | 1 | vonette dixon | jamaica | 12.83 | q, pb | | 2 | 3 | 2 | diane allahgreen | england | 12.92 | q, pb | | 3 | 4 | 2 | brigitte foster | jamaica | 12.98 | q | | 4 | 5 | 2 | angela atede | nigeria | 13.01 | q, sb | | 5 | 6 | 1 | angela whyte | canada | 13.03 | q, pb | | 6 | 7 | 1 | julie pratt | england | 13.08 | q, pb | | 7 | 8 | 2 | jacquie munro | australia | 13.22 | q | | 8 | 9 | 1 | melanie wilkins | england | 13.29 | none | | 9 | 9 | 2 | sriyani kulawansa | sri lanka | 13.29 | none | | 10 | 11 | 1 | fiona cullen | australia | 13.45 | none | | 11 | 12 | 2 | rachel king | wales | 13.58 | none | | 12 | 13 | 2 | tamsin stephens | northern ireland | 13.59 | none | | 13 | 14 | 1 | christy akinremi | nigeria | 13.73 | none | | 14 | none | 2 | shabana khattak | pakistan | dnf | none | | 15 | none | 1 | carole kaboud mebam | cameroon | dns | none | | 16 | none | 1 | olutoyin augustus | nigeria | dns | none |

| | name | |---:|:----------------| | 0 | melanie wilkins |

select count ( * ) where name = 'smith' col : name | rank - 2000 | number | country of origin | england - 2001 row 1 : smith | 1 | 2376207 | england, scotland | smith row 2 : johnson | 2 | 1857160 | england | jones row 3 : williams | 3 | 1534042 | england, wales | taylor row 4 : brown | 4 | 1380145 | england, ireland, scotland | brown row 5 : jones | 5 | 1362755 | england, wales | williams row 6 : miller | 6 | 1127803 | england, ireland, or scotland (miller can be the anglicized version of mueller/muller - a surname from germany) | wilson row 7 : davis | 7 | 1072335 | england, wales | johnson row 8 : garcia | 8 | 858289 | spain | davies row 9 : rodriguez | 9 | 804240 | spain | robinson row 10 : wilson | 10 | 783051 | england, scotland | wright

col : count ( "*" ) row 1 : 1

select count ( * ) where name = 'smith' <table_name> : table \begin{tabular}{llllll} \toprule & name & rank - 2000 & number & country of origin & england - 2001 \\ \midrule 0 & smith & 1 & 2376207 & england, scotland & smith \\ 1 & johnson & 2 & 1857160 & england & jones \\ 2 & williams & 3 & 1534042 & england, wales & taylor \\ 3 & brown & 4 & 1380145 & england, ireland, scotland & brown \\ 4 & jones & 5 & 1362755 & england, wales & williams \\ 5 & miller & 6 & 1127803 & england, ireland, or scotland (miller can be the anglicized version of mueller/muller - a surname from germany) & wilson \\ 6 & davis & 7 & 1072335 & england, wales & johnson \\ 7 & garcia & 8 & 858289 & spain & davies \\ 8 & rodriguez & 9 & 804240 & spain & robinson \\ 9 & wilson & 10 & 783051 & england, scotland & wright \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "*" ) \\ \midrule 0 & 1 \\ \bottomrule \end{tabular}

select count ( * ) where name = 'smith' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>name</th> <th>rank - 2000</th> <th>number</th> <th>country of origin</th> <th>england - 2001</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>smith</td> <td>1</td> <td>2376207</td> <td>england, scotland</td> <td>smith</td> </tr> <tr> <th>1</th> <td>johnson</td> <td>2</td> <td>1857160</td> <td>england</td> <td>jones</td> </tr> <tr> <th>2</th> <td>williams</td> <td>3</td> <td>1534042</td> <td>england, wales</td> <td>taylor</td> </tr> <tr> <th>3</th> <td>brown</td> <td>4</td> <td>1380145</td> <td>england, ireland, scotland</td> <td>brown</td> </tr> <tr> <th>4</th> <td>jones</td> <td>5</td> <td>1362755</td> <td>england, wales</td> <td>williams</td> </tr> <tr> <th>5</th> <td>miller</td> <td>6</td> <td>1127803</td> <td>england, ireland, or scotland (miller can be the anglicized version of mueller/muller - a surname from germany)</td> <td>wilson</td> </tr> <tr> <th>6</th> <td>davis</td> <td>7</td> <td>1072335</td> <td>england, wales</td> <td>johnson</td> </tr> <tr> <th>7</th> <td>garcia</td> <td>8</td> <td>858289</td> <td>spain</td> <td>davies</td> </tr> <tr> <th>8</th> <td>rodriguez</td> <td>9</td> <td>804240</td> <td>spain</td> <td>robinson</td> </tr> <tr> <th>9</th> <td>wilson</td> <td>10</td> <td>783051</td> <td>england, scotland</td> <td>wright</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 = 'smith' <table_name> : table | | name | rank - 2000 | number | country of origin | england - 2001 | |---:|:----------|--------------:|---------:|:----------------------------------------------------------------------------------------------------------------|:-----------------| | 0 | smith | 1 | 2376207 | england, scotland | smith | | 1 | johnson | 2 | 1857160 | england | jones | | 2 | williams | 3 | 1534042 | england, wales | taylor | | 3 | brown | 4 | 1380145 | england, ireland, scotland | brown | | 4 | jones | 5 | 1362755 | england, wales | williams | | 5 | miller | 6 | 1127803 | england, ireland, or scotland (miller can be the anglicized version of mueller/muller - a surname from germany) | wilson | | 6 | davis | 7 | 1072335 | england, wales | johnson | | 7 | garcia | 8 | 858289 | spain | davies | | 8 | rodriguez | 9 | 804240 | spain | robinson | | 9 | wilson | 10 | 783051 | england, scotland | wright |

| | count ( "*" ) | |---:|----------------:| | 0 | 1 |

select count ( single ) where chart = 'mainstream rock tracks' col : year | single | chart | position row 1 : 1999 | "heavy" | billboard hot 100 | 73 row 2 : 1999 | "heavy" | mainstream rock tracks | 1 row 3 : 1999 | "heavy" | modern rock tracks | 5 row 4 : 1999 | "run" | billboard hot 100 | 76 row 5 : 1999 | "run" | modern rock tracks | 36 row 6 : 1999 | "run" | adult top 40 | 12 row 7 : 1999 | "no more, no less" | mainstream rock tracks | 10 row 8 : 1999 | "no more, no less" | modern rock tracks | 32 row 9 : 1999 | "tremble for my beloved" | mainstream rock tracks | 35

col : count ( "single" ) row 1 : 3

select count ( single ) where chart = 'mainstream rock tracks' <table_name> : table \begin{tabular}{lllll} \toprule & year & single & chart & position \\ \midrule 0 & 1999 & "heavy" & billboard hot 100 & 73 \\ 1 & 1999 & "heavy" & mainstream rock tracks & 1 \\ 2 & 1999 & "heavy" & modern rock tracks & 5 \\ 3 & 1999 & "run" & billboard hot 100 & 76 \\ 4 & 1999 & "run" & modern rock tracks & 36 \\ 5 & 1999 & "run" & adult top 40 & 12 \\ 6 & 1999 & "no more, no less" & mainstream rock tracks & 10 \\ 7 & 1999 & "no more, no less" & modern rock tracks & 32 \\ 8 & 1999 & "tremble for my beloved" & mainstream rock tracks & 35 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & count ( "single" ) \\ \midrule 0 & 3 \\ \bottomrule \end{tabular}

select count ( single ) where chart = 'mainstream rock tracks' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>single</th> <th>chart</th> <th>position</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1999</td> <td>"heavy"</td> <td>billboard hot 100</td> <td>73</td> </tr> <tr> <th>1</th> <td>1999</td> <td>"heavy"</td> <td>mainstream rock tracks</td> <td>1</td> </tr> <tr> <th>2</th> <td>1999</td> <td>"heavy"</td> <td>modern rock tracks</td> <td>5</td> </tr> <tr> <th>3</th> <td>1999</td> <td>"run"</td> <td>billboard hot 100</td> <td>76</td> </tr> <tr> <th>4</th> <td>1999</td> <td>"run"</td> <td>modern rock tracks</td> <td>36</td> </tr> <tr> <th>5</th> <td>1999</td> <td>"run"</td> <td>adult top 40</td> <td>12</td> </tr> <tr> <th>6</th> <td>1999</td> <td>"no more, no less"</td> <td>mainstream rock tracks</td> <td>10</td> </tr> <tr> <th>7</th> <td>1999</td> <td>"no more, no less"</td> <td>modern rock tracks</td> <td>32</td> </tr> <tr> <th>8</th> <td>1999</td> <td>"tremble for my beloved"</td> <td>mainstream rock tracks</td> <td>35</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>count ( "single" )</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>3</td> </tr> </tbody> </table>

select count ( single ) where chart = 'mainstream rock tracks' <table_name> : table | | year | single | chart | position | |---:|-------:|:-------------------------|:-----------------------|-----------:| | 0 | 1999 | "heavy" | billboard hot 100 | 73 | | 1 | 1999 | "heavy" | mainstream rock tracks | 1 | | 2 | 1999 | "heavy" | modern rock tracks | 5 | | 3 | 1999 | "run" | billboard hot 100 | 76 | | 4 | 1999 | "run" | modern rock tracks | 36 | | 5 | 1999 | "run" | adult top 40 | 12 | | 6 | 1999 | "no more, no less" | mainstream rock tracks | 10 | | 7 | 1999 | "no more, no less" | modern rock tracks | 32 | | 8 | 1999 | "tremble for my beloved" | mainstream rock tracks | 35 |

| | count ( "single" ) | |---:|---------------------:| | 0 | 3 |

select laps where team = 'forsythe racing' col : pos | no | driver | team | laps | time/retired | grid | points row 1 : 1 | 1 | sebastien bourdais | newman/haas racing | 66 | 1:51:31.146 | 2 | 34 row 2 : 2 | 9 | justin wilson | rusport | 66 | +3.528 secs | 1 | 29 row 3 : 3 | 5 | will power | team australia | 66 | +46.536 secs | 4 | 26 row 4 : 4 | 2 | bruno junqueira | newman/haas racing | 66 | +1:04.023 | 3 | 23 row 5 : 5 | 15 | alex tagliani | team australia | 66 | +1:18.033 | 8 | 22 row 6 : 6 | 6 | oriol servia | pkv racing | 66 | +1:28.745 | 7 | 19 row 7 : 7 | 4 | nelson philippe | cte racing - hvm | 66 | +1:29.997 | 10 | 17 row 8 : 8 | 27 | andrew ranger | mi-jack conquest racing | 65 | + 1 lap | 16 | 16 row 9 : 9 | 3 | david martinez | forsythe racing | 65 | + 1 lap | 9 | 13 row 10 : 10 | 7 | buddy rice | forsythe racing | 65 | + 1 lap | 14 | 11 row 11 : 11 | 34 | charles zwolsman | mi-jack conquest racing | 65 | + 1 lap | 12 | 10 row 12 : 12 | 18 | antonio pizzonia | rocketsports racing | 65 | + 1 lap | 15 | 9 row 13 : 13 | 11 | jan heylen | dale coyne racing | 65 | + 1 lap | 17 | 8 row 14 : 14 | 10 | ryan briscoe | rusport | 64 | + 2 laps | 5 | 7 row 15 : 15 | 19 | andreas wirth | dale coyne racing | 64 | + 2 laps | 18 | 6 row 16 : 16 | 20 | katherine legge | pkv racing | 63 | + 3 laps | 13 | 5 row 17 : 17 | 8 | mario dominguez | rocketsports racing | 59 | retired | 11 | 4 row 18 : 18 | 14 | dan clarke | cte racing - hvm | 7 | differential | 6 | 3

col : laps row 1 : 65 row 2 : 65

select laps where team = 'forsythe racing' <table_name> : table \begin{tabular}{lllllllll} \toprule & pos & no & driver & team & laps & time/retired & grid & points \\ \midrule 0 & 1 & 1 & sebastien bourdais & newman/haas racing & 66 & 1:51:31.146 & 2 & 34 \\ 1 & 2 & 9 & justin wilson & rusport & 66 & +3.528 secs & 1 & 29 \\ 2 & 3 & 5 & will power & team australia & 66 & +46.536 secs & 4 & 26 \\ 3 & 4 & 2 & bruno junqueira & newman/haas racing & 66 & +1:04.023 & 3 & 23 \\ 4 & 5 & 15 & alex tagliani & team australia & 66 & +1:18.033 & 8 & 22 \\ 5 & 6 & 6 & oriol servia & pkv racing & 66 & +1:28.745 & 7 & 19 \\ 6 & 7 & 4 & nelson philippe & cte racing - hvm & 66 & +1:29.997 & 10 & 17 \\ 7 & 8 & 27 & andrew ranger & mi-jack conquest racing & 65 & + 1 lap & 16 & 16 \\ 8 & 9 & 3 & david martinez & forsythe racing & 65 & + 1 lap & 9 & 13 \\ 9 & 10 & 7 & buddy rice & forsythe racing & 65 & + 1 lap & 14 & 11 \\ 10 & 11 & 34 & charles zwolsman & mi-jack conquest racing & 65 & + 1 lap & 12 & 10 \\ 11 & 12 & 18 & antonio pizzonia & rocketsports racing & 65 & + 1 lap & 15 & 9 \\ 12 & 13 & 11 & jan heylen & dale coyne racing & 65 & + 1 lap & 17 & 8 \\ 13 & 14 & 10 & ryan briscoe & rusport & 64 & + 2 laps & 5 & 7 \\ 14 & 15 & 19 & andreas wirth & dale coyne racing & 64 & + 2 laps & 18 & 6 \\ 15 & 16 & 20 & katherine legge & pkv racing & 63 & + 3 laps & 13 & 5 \\ 16 & 17 & 8 & mario dominguez & rocketsports racing & 59 & retired & 11 & 4 \\ 17 & 18 & 14 & dan clarke & cte racing - hvm & 7 & differential & 6 & 3 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & laps \\ \midrule 0 & 65 \\ 1 & 65 \\ \bottomrule \end{tabular}

select laps 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>1</td> <td>sebastien bourdais</td> <td>newman/haas racing</td> <td>66</td> <td>1:51:31.146</td> <td>2</td> <td>34</td> </tr> <tr> <th>1</th> <td>2</td> <td>9</td> <td>justin wilson</td> <td>rusport</td> <td>66</td> <td>+3.528 secs</td> <td>1</td> <td>29</td> </tr> <tr> <th>2</th> <td>3</td> <td>5</td> <td>will power</td> <td>team australia</td> <td>66</td> <td>+46.536 secs</td> <td>4</td> <td>26</td> </tr> <tr> <th>3</th> <td>4</td> <td>2</td> <td>bruno junqueira</td> <td>newman/haas racing</td> <td>66</td> <td>+1:04.023</td> <td>3</td> <td>23</td> </tr> <tr> <th>4</th> <td>5</td> <td>15</td> <td>alex tagliani</td> <td>team australia</td> <td>66</td> <td>+1:18.033</td> <td>8</td> <td>22</td> </tr> <tr> <th>5</th> <td>6</td> <td>6</td> <td>oriol servia</td> <td>pkv racing</td> <td>66</td> <td>+1:28.745</td> <td>7</td> <td>19</td> </tr> <tr> <th>6</th> <td>7</td> <td>4</td> <td>nelson philippe</td> <td>cte racing - hvm</td> <td>66</td> <td>+1:29.997</td> <td>10</td> <td>17</td> </tr> <tr> <th>7</th> <td>8</td> <td>27</td> <td>andrew ranger</td> <td>mi-jack conquest racing</td> <td>65</td> <td>+ 1 lap</td> <td>16</td> <td>16</td> </tr> <tr> <th>8</th> <td>9</td> <td>3</td> <td>david martinez</td> <td>forsythe racing</td> <td>65</td> <td>+ 1 lap</td> <td>9</td> <td>13</td> </tr> <tr> <th>9</th> <td>10</td> <td>7</td> <td>buddy rice</td> <td>forsythe racing</td> <td>65</td> <td>+ 1 lap</td> <td>14</td> <td>11</td> </tr> <tr> <th>10</th> <td>11</td> <td>34</td> <td>charles zwolsman</td> <td>mi-jack conquest racing</td> <td>65</td> <td>+ 1 lap</td> <td>12</td> <td>10</td> </tr> <tr> <th>11</th> <td>12</td> <td>18</td> <td>antonio pizzonia</td> <td>rocketsports racing</td> <td>65</td> <td>+ 1 lap</td> <td>15</td> <td>9</td> </tr> <tr> <th>12</th> <td>13</td> <td>11</td> <td>jan heylen</td> <td>dale coyne racing</td> <td>65</td> <td>+ 1 lap</td> <td>17</td> <td>8</td> </tr> <tr> <th>13</th> <td>14</td> <td>10</td> <td>ryan briscoe</td> <td>rusport</td> <td>64</td> <td>+ 2 laps</td> <td>5</td> <td>7</td> </tr> <tr> <th>14</th> <td>15</td> <td>19</td> <td>andreas wirth</td> <td>dale coyne racing</td> <td>64</td> <td>+ 2 laps</td> <td>18</td> <td>6</td> </tr> <tr> <th>15</th> <td>16</td> <td>20</td> <td>katherine legge</td> <td>pkv racing</td> <td>63</td> <td>+ 3 laps</td> <td>13</td> <td>5</td> </tr> <tr> <th>16</th> <td>17</td> <td>8</td> <td>mario dominguez</td> <td>rocketsports racing</td> <td>59</td> <td>retired</td> <td>11</td> <td>4</td> </tr> <tr> <th>17</th> <td>18</td> <td>14</td> <td>dan clarke</td> <td>cte racing - hvm</td> <td>7</td> <td>differential</td> <td>6</td> <td>3</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>laps</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>65</td> </tr> <tr> <th>1</th> <td>65</td> </tr> </tbody> </table>

select laps where team = 'forsythe racing' <table_name> : table | | pos | no | driver | team | laps | time/retired | grid | points | |---:|------:|-----:|:-------------------|:------------------------|-------:|:---------------|-------:|---------:| | 0 | 1 | 1 | sebastien bourdais | newman/haas racing | 66 | 1:51:31.146 | 2 | 34 | | 1 | 2 | 9 | justin wilson | rusport | 66 | +3.528 secs | 1 | 29 | | 2 | 3 | 5 | will power | team australia | 66 | +46.536 secs | 4 | 26 | | 3 | 4 | 2 | bruno junqueira | newman/haas racing | 66 | +1:04.023 | 3 | 23 | | 4 | 5 | 15 | alex tagliani | team australia | 66 | +1:18.033 | 8 | 22 | | 5 | 6 | 6 | oriol servia | pkv racing | 66 | +1:28.745 | 7 | 19 | | 6 | 7 | 4 | nelson philippe | cte racing - hvm | 66 | +1:29.997 | 10 | 17 | | 7 | 8 | 27 | andrew ranger | mi-jack conquest racing | 65 | + 1 lap | 16 | 16 | | 8 | 9 | 3 | david martinez | forsythe racing | 65 | + 1 lap | 9 | 13 | | 9 | 10 | 7 | buddy rice | forsythe racing | 65 | + 1 lap | 14 | 11 | | 10 | 11 | 34 | charles zwolsman | mi-jack conquest racing | 65 | + 1 lap | 12 | 10 | | 11 | 12 | 18 | antonio pizzonia | rocketsports racing | 65 | + 1 lap | 15 | 9 | | 12 | 13 | 11 | jan heylen | dale coyne racing | 65 | + 1 lap | 17 | 8 | | 13 | 14 | 10 | ryan briscoe | rusport | 64 | + 2 laps | 5 | 7 | | 14 | 15 | 19 | andreas wirth | dale coyne racing | 64 | + 2 laps | 18 | 6 | | 15 | 16 | 20 | katherine legge | pkv racing | 63 | + 3 laps | 13 | 5 | | 16 | 17 | 8 | mario dominguez | rocketsports racing | 59 | retired | 11 | 4 | | 17 | 18 | 14 | dan clarke | cte racing - hvm | 7 | differential | 6 | 3 |

| | laps | |---:|-------:| | 0 | 65 | | 1 | 65 |

select score where money ($) = 27500 col : place | player | country | score | to par | money ($) row 1 : t1 | larry nelson | united states | 70-72-73-72=287 | -1 | playoff row 2 : t1 | lanny wadkins | united states | 70-70-74-73=287 | -1 | playoff row 3 : t3 | scott hoch | united states | 74-74-71-69=288 | e | 58750 row 4 : t3 | d. a. weibring | united states | 73-72-67-76=288 | e | 58750 row 5 : t5 | mark mccumber | united states | 74-69-69-77=289 | 1 | 37500 row 6 : t5 | don pooley | united states | 73-71-73-72=289 | 1 | 37500 row 7 : t7 | ben crenshaw | united states | 72-70-74-74=290 | 2 | 27500 row 8 : t7 | bobby wadkins | united states | 68-74-71-77=290 | 2 | 27500 row 9 : 9 | curtis strange | united states | 70-76-71-74=291 | 3 | 22500 row 10 : t10 | seve ballesteros | spain | 72-70-72-78=292 | 4 | 17000 row 11 : t10 | david frost | south africa | 75-70-71-76=292 | 4 | 17000 row 12 : t10 | tom kite | united states | 72-77-71-72=292 | 4 | 17000 row 13 : t10 | nick price | zimbabwe | 76-71-70-75=292 | 4 | 17000

col : score row 1 : 72-70-74-74=290 row 2 : 68-74-71-77=290

select score where money ($) = 27500 <table_name> : table \begin{tabular}{lllllll} \toprule & place & player & country & score & to par & money ($) \\ \midrule 0 & t1 & larry nelson & united states & 70-72-73-72=287 & -1 & playoff \\ 1 & t1 & lanny wadkins & united states & 70-70-74-73=287 & -1 & playoff \\ 2 & t3 & scott hoch & united states & 74-74-71-69=288 & e & 58750 \\ 3 & t3 & d. a. weibring & united states & 73-72-67-76=288 & e & 58750 \\ 4 & t5 & mark mccumber & united states & 74-69-69-77=289 & 1 & 37500 \\ 5 & t5 & don pooley & united states & 73-71-73-72=289 & 1 & 37500 \\ 6 & t7 & ben crenshaw & united states & 72-70-74-74=290 & 2 & 27500 \\ 7 & t7 & bobby wadkins & united states & 68-74-71-77=290 & 2 & 27500 \\ 8 & 9 & curtis strange & united states & 70-76-71-74=291 & 3 & 22500 \\ 9 & t10 & seve ballesteros & spain & 72-70-72-78=292 & 4 & 17000 \\ 10 & t10 & david frost & south africa & 75-70-71-76=292 & 4 & 17000 \\ 11 & t10 & tom kite & united states & 72-77-71-72=292 & 4 & 17000 \\ 12 & t10 & nick price & zimbabwe & 76-71-70-75=292 & 4 & 17000 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & score \\ \midrule 0 & 72-70-74-74=290 \\ 1 & 68-74-71-77=290 \\ \bottomrule \end{tabular}

select score where money ($) = 27500 <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>place</th> <th>player</th> <th>country</th> <th>score</th> <th>to par</th> <th>money ($)</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>t1</td> <td>larry nelson</td> <td>united states</td> <td>70-72-73-72=287</td> <td>-1</td> <td>playoff</td> </tr> <tr> <th>1</th> <td>t1</td> <td>lanny wadkins</td> <td>united states</td> <td>70-70-74-73=287</td> <td>-1</td> <td>playoff</td> </tr> <tr> <th>2</th> <td>t3</td> <td>scott hoch</td> <td>united states</td> <td>74-74-71-69=288</td> <td>e</td> <td>58750</td> </tr> <tr> <th>3</th> <td>t3</td> <td>d. a. weibring</td> <td>united states</td> <td>73-72-67-76=288</td> <td>e</td> <td>58750</td> </tr> <tr> <th>4</th> <td>t5</td> <td>mark mccumber</td> <td>united states</td> <td>74-69-69-77=289</td> <td>1</td> <td>37500</td> </tr> <tr> <th>5</th> <td>t5</td> <td>don pooley</td> <td>united states</td> <td>73-71-73-72=289</td> <td>1</td> <td>37500</td> </tr> <tr> <th>6</th> <td>t7</td> <td>ben crenshaw</td> <td>united states</td> <td>72-70-74-74=290</td> <td>2</td> <td>27500</td> </tr> <tr> <th>7</th> <td>t7</td> <td>bobby wadkins</td> <td>united states</td> <td>68-74-71-77=290</td> <td>2</td> <td>27500</td> </tr> <tr> <th>8</th> <td>9</td> <td>curtis strange</td> <td>united states</td> <td>70-76-71-74=291</td> <td>3</td> <td>22500</td> </tr> <tr> <th>9</th> <td>t10</td> <td>seve ballesteros</td> <td>spain</td> <td>72-70-72-78=292</td> <td>4</td> <td>17000</td> </tr> <tr> <th>10</th> <td>t10</td> <td>david frost</td> <td>south africa</td> <td>75-70-71-76=292</td> <td>4</td> <td>17000</td> </tr> <tr> <th>11</th> <td>t10</td> <td>tom kite</td> <td>united states</td> <td>72-77-71-72=292</td> <td>4</td> <td>17000</td> </tr> <tr> <th>12</th> <td>t10</td> <td>nick price</td> <td>zimbabwe</td> <td>76-71-70-75=292</td> <td>4</td> <td>17000</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>score</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>72-70-74-74=290</td> </tr> <tr> <th>1</th> <td>68-74-71-77=290</td> </tr> </tbody> </table>

select score where money ($) = 27500 <table_name> : table | | place | player | country | score | to par | money ($) | |---:|:--------|:-----------------|:--------------|:----------------|:---------|:------------| | 0 | t1 | larry nelson | united states | 70-72-73-72=287 | -1 | playoff | | 1 | t1 | lanny wadkins | united states | 70-70-74-73=287 | -1 | playoff | | 2 | t3 | scott hoch | united states | 74-74-71-69=288 | e | 58750 | | 3 | t3 | d. a. weibring | united states | 73-72-67-76=288 | e | 58750 | | 4 | t5 | mark mccumber | united states | 74-69-69-77=289 | 1 | 37500 | | 5 | t5 | don pooley | united states | 73-71-73-72=289 | 1 | 37500 | | 6 | t7 | ben crenshaw | united states | 72-70-74-74=290 | 2 | 27500 | | 7 | t7 | bobby wadkins | united states | 68-74-71-77=290 | 2 | 27500 | | 8 | 9 | curtis strange | united states | 70-76-71-74=291 | 3 | 22500 | | 9 | t10 | seve ballesteros | spain | 72-70-72-78=292 | 4 | 17000 | | 10 | t10 | david frost | south africa | 75-70-71-76=292 | 4 | 17000 | | 11 | t10 | tom kite | united states | 72-77-71-72=292 | 4 | 17000 | | 12 | t10 | nick price | zimbabwe | 76-71-70-75=292 | 4 | 17000 |

| | score | |---:|:----------------| | 0 | 72-70-74-74=290 | | 1 | 68-74-71-77=290 |

select rank where name = 'thandiwe nyathy' col : rank | name | nationality | time row 1 : none | sule utura | ethiopia | 15:38.70 row 2 : none | emebet anteneh mengistu | ethiopia | 15:40.13 row 3 : none | pauline korikwiang | kenya | 15:40.93 row 4 : 4 | hyvin jepkemoi | kenya | 15:42.64 row 5 : 5 | esther ndiema | kenya | 15:43.48 row 6 : 6 | goytetom gebresilasse | ethiopia | 15:49.90 row 7 : 7 | angeline myiramsabimana | rwanda | 16:24.04 row 8 : 8 | mekdes weldu | eritrea | 16:42.69 row 9 : 9 | thandiwe nyathy | zimbabwe | 17:13.00

col : rank row 1 : 9

select rank where name = 'thandiwe nyathy' <table_name> : table \begin{tabular}{lllll} \toprule & rank & name & nationality & time \\ \midrule 0 & none & sule utura & ethiopia & 15:38.70 \\ 1 & none & emebet anteneh mengistu & ethiopia & 15:40.13 \\ 2 & none & pauline korikwiang & kenya & 15:40.93 \\ 3 & 4 & hyvin jepkemoi & kenya & 15:42.64 \\ 4 & 5 & esther ndiema & kenya & 15:43.48 \\ 5 & 6 & goytetom gebresilasse & ethiopia & 15:49.90 \\ 6 & 7 & angeline myiramsabimana & rwanda & 16:24.04 \\ 7 & 8 & mekdes weldu & eritrea & 16:42.69 \\ 8 & 9 & thandiwe nyathy & zimbabwe & 17:13.00 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & rank \\ \midrule 0 & 9 \\ \bottomrule \end{tabular}

select rank where name = 'thandiwe nyathy' <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> </tr> </thead> <tbody> <tr> <th>0</th> <td>none</td> <td>sule utura</td> <td>ethiopia</td> <td>15:38.70</td> </tr> <tr> <th>1</th> <td>none</td> <td>emebet anteneh mengistu</td> <td>ethiopia</td> <td>15:40.13</td> </tr> <tr> <th>2</th> <td>none</td> <td>pauline korikwiang</td> <td>kenya</td> <td>15:40.93</td> </tr> <tr> <th>3</th> <td>4</td> <td>hyvin jepkemoi</td> <td>kenya</td> <td>15:42.64</td> </tr> <tr> <th>4</th> <td>5</td> <td>esther ndiema</td> <td>kenya</td> <td>15:43.48</td> </tr> <tr> <th>5</th> <td>6</td> <td>goytetom gebresilasse</td> <td>ethiopia</td> <td>15:49.90</td> </tr> <tr> <th>6</th> <td>7</td> <td>angeline myiramsabimana</td> <td>rwanda</td> <td>16:24.04</td> </tr> <tr> <th>7</th> <td>8</td> <td>mekdes weldu</td> <td>eritrea</td> <td>16:42.69</td> </tr> <tr> <th>8</th> <td>9</td> <td>thandiwe nyathy</td> <td>zimbabwe</td> <td>17:13.00</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>9</td> </tr> </tbody> </table>

select rank where name = 'thandiwe nyathy' <table_name> : table | | rank | name | nationality | time | |---:|:-------|:------------------------|:--------------|:---------| | 0 | none | sule utura | ethiopia | 15:38.70 | | 1 | none | emebet anteneh mengistu | ethiopia | 15:40.13 | | 2 | none | pauline korikwiang | kenya | 15:40.93 | | 3 | 4 | hyvin jepkemoi | kenya | 15:42.64 | | 4 | 5 | esther ndiema | kenya | 15:43.48 | | 5 | 6 | goytetom gebresilasse | ethiopia | 15:49.90 | | 6 | 7 | angeline myiramsabimana | rwanda | 16:24.04 | | 7 | 8 | mekdes weldu | eritrea | 16:42.69 | | 8 | 9 | thandiwe nyathy | zimbabwe | 17:13.00 |

| | rank | |---:|-------:| | 0 | 9 |

select nation where silver < 2 order by silver desc limit 1 col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 28 | 28 | 24 | 80 row 2 : 2 | romania | 16 | 3 | 5 | 24 row 3 : 3 | canada | 14 | 10 | 15 | 39 row 4 : 4 | quebec | 8 | 4 | 16 | 28 row 5 : 5 | morocco | 6 | 11 | 7 | 24 row 6 : 6 | tunisia | 4 | 7 | 1 | 12 row 7 : 7 | egypt | 2 | 5 | 4 | 11 row 8 : 8 | switzerland | 2 | 1 | 5 | 8 row 9 : 9 | senegal | 2 | 1 | 3 | 6 row 10 : 10 | french community of belgium | 1 | 3 | 6 | 10 row 11 : 11 | madagascar | 1 | 2 | 3 | 6 row 12 : 12 | burkina faso | 1 | none | 2 | 3 row 13 : 13 | togo | 1 | none | 1 | 2 row 14 : 14 | guinea | 1 | none | none | 1 row 15 : 15 | lebanon | 1 | none | none | 1 row 16 : 16 | ivory coast | none | 3 | 3 | 6 row 17 : 17 | republic of the congo | none | 3 | 2 | 5 row 18 : 18 | new brunswick | none | 1 | 2 | 3 row 19 : 19 | central african republic | none | 1 | none | 1 row 20 : 20 | dominica | none | 1 | none | 1 row 21 : 21 | gabon | none | 1 | none | 1 row 22 : 22 | mali | none | 1 | none | 1 row 23 : 23 | cambodia | none | none | 2 | 2 row 24 : 24 | luxembourg | none | none | 2 | 2 row 25 : 25 | mauritius | none | none | 2 | 2 row 26 : 26 | burundi | none | none | 1 | 1 row 27 : 27 | djibouti | none | none | 1 | 1 row 28 : 28 | vietnam | none | none | 1 | 1

col : nation row 1 : canada row 2 : morocco row 3 : switzerland row 4 : senegal row 5 : madagascar row 6 : new brunswick row 7 : central african republic row 8 : dominica row 9 : gabon row 10 : mali

select nation where silver < 2 order by silver desc limit 1 <table_name> : table \begin{tabular}{lllllll} \toprule & rank & nation & gold & silver & bronze & total \\ \midrule 0 & 1 & france & 28 & 28 & 24 & 80 \\ 1 & 2 & romania & 16 & 3 & 5 & 24 \\ 2 & 3 & canada & 14 & 10 & 15 & 39 \\ 3 & 4 & quebec & 8 & 4 & 16 & 28 \\ 4 & 5 & morocco & 6 & 11 & 7 & 24 \\ 5 & 6 & tunisia & 4 & 7 & 1 & 12 \\ 6 & 7 & egypt & 2 & 5 & 4 & 11 \\ 7 & 8 & switzerland & 2 & 1 & 5 & 8 \\ 8 & 9 & senegal & 2 & 1 & 3 & 6 \\ 9 & 10 & french community of belgium & 1 & 3 & 6 & 10 \\ 10 & 11 & madagascar & 1 & 2 & 3 & 6 \\ 11 & 12 & burkina faso & 1 & none & 2 & 3 \\ 12 & 13 & togo & 1 & none & 1 & 2 \\ 13 & 14 & guinea & 1 & none & none & 1 \\ 14 & 15 & lebanon & 1 & none & none & 1 \\ 15 & 16 & ivory coast & none & 3 & 3 & 6 \\ 16 & 17 & republic of the congo & none & 3 & 2 & 5 \\ 17 & 18 & new brunswick & none & 1 & 2 & 3 \\ 18 & 19 & central african republic & none & 1 & none & 1 \\ 19 & 20 & dominica & none & 1 & none & 1 \\ 20 & 21 & gabon & none & 1 & none & 1 \\ 21 & 22 & mali & none & 1 & none & 1 \\ 22 & 23 & cambodia & none & none & 2 & 2 \\ 23 & 24 & luxembourg & none & none & 2 & 2 \\ 24 & 25 & mauritius & none & none & 2 & 2 \\ 25 & 26 & burundi & none & none & 1 & 1 \\ 26 & 27 & djibouti & none & none & 1 & 1 \\ 27 & 28 & vietnam & none & none & 1 & 1 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & nation \\ \midrule 0 & canada \\ 1 & morocco \\ 2 & switzerland \\ 3 & senegal \\ 4 & madagascar \\ 5 & new brunswick \\ 6 & central african republic \\ 7 & dominica \\ 8 & gabon \\ 9 & mali \\ \bottomrule \end{tabular}

select nation where silver < 2 order by silver 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>france</td> <td>28</td> <td>28</td> <td>24</td> <td>80</td> </tr> <tr> <th>1</th> <td>2</td> <td>romania</td> <td>16</td> <td>3</td> <td>5</td> <td>24</td> </tr> <tr> <th>2</th> <td>3</td> <td>canada</td> <td>14</td> <td>10</td> <td>15</td> <td>39</td> </tr> <tr> <th>3</th> <td>4</td> <td>quebec</td> <td>8</td> <td>4</td> <td>16</td> <td>28</td> </tr> <tr> <th>4</th> <td>5</td> <td>morocco</td> <td>6</td> <td>11</td> <td>7</td> <td>24</td> </tr> <tr> <th>5</th> <td>6</td> <td>tunisia</td> <td>4</td> <td>7</td> <td>1</td> <td>12</td> </tr> <tr> <th>6</th> <td>7</td> <td>egypt</td> <td>2</td> <td>5</td> <td>4</td> <td>11</td> </tr> <tr> <th>7</th> <td>8</td> <td>switzerland</td> <td>2</td> <td>1</td> <td>5</td> <td>8</td> </tr> <tr> <th>8</th> <td>9</td> <td>senegal</td> <td>2</td> <td>1</td> <td>3</td> <td>6</td> </tr> <tr> <th>9</th> <td>10</td> <td>french community of belgium</td> <td>1</td> <td>3</td> <td>6</td> <td>10</td> </tr> <tr> <th>10</th> <td>11</td> <td>madagascar</td> <td>1</td> <td>2</td> <td>3</td> <td>6</td> </tr> <tr> <th>11</th> <td>12</td> <td>burkina faso</td> <td>1</td> <td>none</td> <td>2</td> <td>3</td> </tr> <tr> <th>12</th> <td>13</td> <td>togo</td> <td>1</td> <td>none</td> <td>1</td> <td>2</td> </tr> <tr> <th>13</th> <td>14</td> <td>guinea</td> <td>1</td> <td>none</td> <td>none</td> <td>1</td> </tr> <tr> <th>14</th> <td>15</td> <td>lebanon</td> <td>1</td> <td>none</td> <td>none</td> <td>1</td> </tr> <tr> <th>15</th> <td>16</td> <td>ivory coast</td> <td>none</td> <td>3</td> <td>3</td> <td>6</td> </tr> <tr> <th>16</th> <td>17</td> <td>republic of the congo</td> <td>none</td> <td>3</td> <td>2</td> <td>5</td> </tr> <tr> <th>17</th> <td>18</td> <td>new brunswick</td> <td>none</td> <td>1</td> <td>2</td> <td>3</td> </tr> <tr> <th>18</th> <td>19</td> <td>central african republic</td> <td>none</td> <td>1</td> <td>none</td> <td>1</td> </tr> <tr> <th>19</th> <td>20</td> <td>dominica</td> <td>none</td> <td>1</td> <td>none</td> <td>1</td> </tr> <tr> <th>20</th> <td>21</td> <td>gabon</td> <td>none</td> <td>1</td> <td>none</td> <td>1</td> </tr> <tr> <th>21</th> <td>22</td> <td>mali</td> <td>none</td> <td>1</td> <td>none</td> <td>1</td> </tr> <tr> <th>22</th> <td>23</td> <td>cambodia</td> <td>none</td> <td>none</td> <td>2</td> <td>2</td> </tr> <tr> <th>23</th> <td>24</td> <td>luxembourg</td> <td>none</td> <td>none</td> <td>2</td> <td>2</td> </tr> <tr> <th>24</th> <td>25</td> <td>mauritius</td> <td>none</td> <td>none</td> <td>2</td> <td>2</td> </tr> <tr> <th>25</th> <td>26</td> <td>burundi</td> <td>none</td> <td>none</td> <td>1</td> <td>1</td> </tr> <tr> <th>26</th> <td>27</td> <td>djibouti</td> <td>none</td> <td>none</td> <td>1</td> <td>1</td> </tr> <tr> <th>27</th> <td>28</td> <td>vietnam</td> <td>none</td> <td>none</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>canada</td> </tr> <tr> <th>1</th> <td>morocco</td> </tr> <tr> <th>2</th> <td>switzerland</td> </tr> <tr> <th>3</th> <td>senegal</td> </tr> <tr> <th>4</th> <td>madagascar</td> </tr> <tr> <th>5</th> <td>new brunswick</td> </tr> <tr> <th>6</th> <td>central african republic</td> </tr> <tr> <th>7</th> <td>dominica</td> </tr> <tr> <th>8</th> <td>gabon</td> </tr> <tr> <th>9</th> <td>mali</td> </tr> </tbody> </table>

select nation where silver < 2 order by silver desc limit 1 <table_name> : table | | rank | nation | gold | silver | bronze | total | |---:|-------:|:----------------------------|:-------|:---------|:---------|--------:| | 0 | 1 | france | 28 | 28 | 24 | 80 | | 1 | 2 | romania | 16 | 3 | 5 | 24 | | 2 | 3 | canada | 14 | 10 | 15 | 39 | | 3 | 4 | quebec | 8 | 4 | 16 | 28 | | 4 | 5 | morocco | 6 | 11 | 7 | 24 | | 5 | 6 | tunisia | 4 | 7 | 1 | 12 | | 6 | 7 | egypt | 2 | 5 | 4 | 11 | | 7 | 8 | switzerland | 2 | 1 | 5 | 8 | | 8 | 9 | senegal | 2 | 1 | 3 | 6 | | 9 | 10 | french community of belgium | 1 | 3 | 6 | 10 | | 10 | 11 | madagascar | 1 | 2 | 3 | 6 | | 11 | 12 | burkina faso | 1 | none | 2 | 3 | | 12 | 13 | togo | 1 | none | 1 | 2 | | 13 | 14 | guinea | 1 | none | none | 1 | | 14 | 15 | lebanon | 1 | none | none | 1 | | 15 | 16 | ivory coast | none | 3 | 3 | 6 | | 16 | 17 | republic of the congo | none | 3 | 2 | 5 | | 17 | 18 | new brunswick | none | 1 | 2 | 3 | | 18 | 19 | central african republic | none | 1 | none | 1 | | 19 | 20 | dominica | none | 1 | none | 1 | | 20 | 21 | gabon | none | 1 | none | 1 | | 21 | 22 | mali | none | 1 | none | 1 | | 22 | 23 | cambodia | none | none | 2 | 2 | | 23 | 24 | luxembourg | none | none | 2 | 2 | | 24 | 25 | mauritius | none | none | 2 | 2 | | 25 | 26 | burundi | none | none | 1 | 1 | | 26 | 27 | djibouti | none | none | 1 | 1 | | 27 | 28 | vietnam | none | none | 1 | 1 |

| | nation | |---:|:-------------------------| | 0 | canada | | 1 | morocco | | 2 | switzerland | | 3 | senegal | | 4 | madagascar | | 5 | new brunswick | | 6 | central african republic | | 7 | dominica | | 8 | gabon | | 9 | mali |

select year where metacritic = '79%' col : year | film | rotten tomatoes | metacritic | imdb row 1 : 1982 | images of liberation | none | none | 5.1/10 row 2 : 1984 | the element of crime | 77% | none | 6.9/10 row 3 : 1987 | epidemic | 33% | 66% | 6.1/10 row 4 : 1991 | europa | 85% | 66% | 7.7/10 row 5 : 1996 | breaking the waves | 86% | 76% | 7.9/10 row 6 : 1998 | the idiots | 70% | 47% | 6.9/10 row 7 : 2000 | dancer in the dark | 68% | 61% | 8.0/10 row 8 : 2003 | the five obstructions | 88% | 79% | 7.5/10 row 9 : 2003 | dogville | 70% | 59% | 8.0/10 row 10 : 2005 | manderlay | 51% | 46% | 7.4/10 row 11 : 2006 | the boss of it all | 74% | 71% | 6.7/10 row 12 : 2009 | antichrist | 48% | 49% | 6.6/10 row 13 : 2011 | melancholia | 77% | 80% | 7.1/10 row 14 : 2013 | nymphomaniac: volume i | 77% | 63% | 7.5/10 row 15 : 2013 | nymphomaniac: volume ii | 79% | 76% | 7.2/10

col : year row 1 : 2003

select year where metacritic = '79%' <table_name> : table \begin{tabular}{llllll} \toprule & year & film & rotten tomatoes & metacritic & imdb \\ \midrule 0 & 1982 & images of liberation & none & none & 5.1/10 \\ 1 & 1984 & the element of crime & 77% & none & 6.9/10 \\ 2 & 1987 & epidemic & 33% & 66% & 6.1/10 \\ 3 & 1991 & europa & 85% & 66% & 7.7/10 \\ 4 & 1996 & breaking the waves & 86% & 76% & 7.9/10 \\ 5 & 1998 & the idiots & 70% & 47% & 6.9/10 \\ 6 & 2000 & dancer in the dark & 68% & 61% & 8.0/10 \\ 7 & 2003 & the five obstructions & 88% & 79% & 7.5/10 \\ 8 & 2003 & dogville & 70% & 59% & 8.0/10 \\ 9 & 2005 & manderlay & 51% & 46% & 7.4/10 \\ 10 & 2006 & the boss of it all & 74% & 71% & 6.7/10 \\ 11 & 2009 & antichrist & 48% & 49% & 6.6/10 \\ 12 & 2011 & melancholia & 77% & 80% & 7.1/10 \\ 13 & 2013 & nymphomaniac: volume i & 77% & 63% & 7.5/10 \\ 14 & 2013 & nymphomaniac: volume ii & 79% & 76% & 7.2/10 \\ \bottomrule \end{tabular}

\begin{tabular}{ll} \toprule & year \\ \midrule 0 & 2003 \\ \bottomrule \end{tabular}

select year where metacritic = '79%' <table_name> : table <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> <th>film</th> <th>rotten tomatoes</th> <th>metacritic</th> <th>imdb</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1982</td> <td>images of liberation</td> <td>none</td> <td>none</td> <td>5.1/10</td> </tr> <tr> <th>1</th> <td>1984</td> <td>the element of crime</td> <td>77%</td> <td>none</td> <td>6.9/10</td> </tr> <tr> <th>2</th> <td>1987</td> <td>epidemic</td> <td>33%</td> <td>66%</td> <td>6.1/10</td> </tr> <tr> <th>3</th> <td>1991</td> <td>europa</td> <td>85%</td> <td>66%</td> <td>7.7/10</td> </tr> <tr> <th>4</th> <td>1996</td> <td>breaking the waves</td> <td>86%</td> <td>76%</td> <td>7.9/10</td> </tr> <tr> <th>5</th> <td>1998</td> <td>the idiots</td> <td>70%</td> <td>47%</td> <td>6.9/10</td> </tr> <tr> <th>6</th> <td>2000</td> <td>dancer in the dark</td> <td>68%</td> <td>61%</td> <td>8.0/10</td> </tr> <tr> <th>7</th> <td>2003</td> <td>the five obstructions</td> <td>88%</td> <td>79%</td> <td>7.5/10</td> </tr> <tr> <th>8</th> <td>2003</td> <td>dogville</td> <td>70%</td> <td>59%</td> <td>8.0/10</td> </tr> <tr> <th>9</th> <td>2005</td> <td>manderlay</td> <td>51%</td> <td>46%</td> <td>7.4/10</td> </tr> <tr> <th>10</th> <td>2006</td> <td>the boss of it all</td> <td>74%</td> <td>71%</td> <td>6.7/10</td> </tr> <tr> <th>11</th> <td>2009</td> <td>antichrist</td> <td>48%</td> <td>49%</td> <td>6.6/10</td> </tr> <tr> <th>12</th> <td>2011</td> <td>melancholia</td> <td>77%</td> <td>80%</td> <td>7.1/10</td> </tr> <tr> <th>13</th> <td>2013</td> <td>nymphomaniac: volume i</td> <td>77%</td> <td>63%</td> <td>7.5/10</td> </tr> <tr> <th>14</th> <td>2013</td> <td>nymphomaniac: volume ii</td> <td>79%</td> <td>76%</td> <td>7.2/10</td> </tr> </tbody> </table>

<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>year</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>2003</td> </tr> </tbody> </table>

select year where metacritic = '79%' <table_name> : table | | year | film | rotten tomatoes | metacritic | imdb | |---:|-------:|:------------------------|:------------------|:-------------|:-------| | 0 | 1982 | images of liberation | none | none | 5.1/10 | | 1 | 1984 | the element of crime | 77% | none | 6.9/10 | | 2 | 1987 | epidemic | 33% | 66% | 6.1/10 | | 3 | 1991 | europa | 85% | 66% | 7.7/10 | | 4 | 1996 | breaking the waves | 86% | 76% | 7.9/10 | | 5 | 1998 | the idiots | 70% | 47% | 6.9/10 | | 6 | 2000 | dancer in the dark | 68% | 61% | 8.0/10 | | 7 | 2003 | the five obstructions | 88% | 79% | 7.5/10 | | 8 | 2003 | dogville | 70% | 59% | 8.0/10 | | 9 | 2005 | manderlay | 51% | 46% | 7.4/10 | | 10 | 2006 | the boss of it all | 74% | 71% | 6.7/10 | | 11 | 2009 | antichrist | 48% | 49% | 6.6/10 | | 12 | 2011 | melancholia | 77% | 80% | 7.1/10 | | 13 | 2013 | nymphomaniac: volume i | 77% | 63% | 7.5/10 | | 14 | 2013 | nymphomaniac: volume ii | 79% | 76% | 7.2/10 |

| | year | |---:|-------:| | 0 | 2003 |