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select abs ( worst score - best score ) where worst score = 26 col : dance | best dancer(s) | best score | worst dancer(s) | worst score row 1 : cha cha | argo ader | 34 | henrik normann piret jarvis | 14 row 2 : waltz (international standard) | maarja-liis ilus | 36 | arne niit | 14 row 3 : rumba | argo ader | 40 | arne niit | 15 row 4 : quickstep | argo ader maarja-liis ilus | 40 | henrik normann piret jarvis | 16 row 5 : jive | argo ader | 32 | henrik normann | 24 row 6 : tango | maarja-liis ilus | 37 | erika salumae | 26 row 7 : paso doble | lauri pedaja | 36 | evelyn sepp | 28 row 8 : foxtrot | argo ader evelyn sepp | 34 | henrik normann | 25 row 9 : samba | maarja-liis ilus | 37 | henrik normann | 26 row 10 : showdance | argo adar maarja-liis ilus | 40 | none | none | col : "abs ( worst score - best score )" row 1 : abs ( worst score - best score ) row 2 : abs ( worst score - best score ) | select abs ( worst score - best score ) where worst score = 26 <table_name> : table \begin{tabular}{llllll}
\toprule
& dance & best dancer(s) & best score & worst dancer(s) & worst score \\
\midrule
0 & cha cha & argo ader & 34 & henrik normann piret jarvis & 14 \\
1 & waltz (international standard) & maarja-liis ilus & 36 & arne niit & 14 \\
2 & rumba & argo ader & 40 & arne niit & 15 \\
3 & quickstep & argo ader maarja-liis ilus & 40 & henrik normann piret jarvis & 16 \\
4 & jive & argo ader & 32 & henrik normann & 24 \\
5 & tango & maarja-liis ilus & 37 & erika salumae & 26 \\
6 & paso doble & lauri pedaja & 36 & evelyn sepp & 28 \\
7 & foxtrot & argo ader evelyn sepp & 34 & henrik normann & 25 \\
8 & samba & maarja-liis ilus & 37 & henrik normann & 26 \\
9 & showdance & argo adar maarja-liis ilus & 40 & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "abs ( worst score - best score )" \\
\midrule
0 & abs ( worst score - best score ) \\
1 & abs ( worst score - best score ) \\
\bottomrule
\end{tabular}
| select abs ( worst score - best score ) where worst score = 26 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>dance</th>
<th>best dancer(s)</th>
<th>best score</th>
<th>worst dancer(s)</th>
<th>worst score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>cha cha</td>
<td>argo ader</td>
<td>34</td>
<td>henrik normann piret jarvis</td>
<td>14</td>
</tr>
<tr>
<th>1</th>
<td>waltz (international standard)</td>
<td>maarja-liis ilus</td>
<td>36</td>
<td>arne niit</td>
<td>14</td>
</tr>
<tr>
<th>2</th>
<td>rumba</td>
<td>argo ader</td>
<td>40</td>
<td>arne niit</td>
<td>15</td>
</tr>
<tr>
<th>3</th>
<td>quickstep</td>
<td>argo ader maarja-liis ilus</td>
<td>40</td>
<td>henrik normann piret jarvis</td>
<td>16</td>
</tr>
<tr>
<th>4</th>
<td>jive</td>
<td>argo ader</td>
<td>32</td>
<td>henrik normann</td>
<td>24</td>
</tr>
<tr>
<th>5</th>
<td>tango</td>
<td>maarja-liis ilus</td>
<td>37</td>
<td>erika salumae</td>
<td>26</td>
</tr>
<tr>
<th>6</th>
<td>paso doble</td>
<td>lauri pedaja</td>
<td>36</td>
<td>evelyn sepp</td>
<td>28</td>
</tr>
<tr>
<th>7</th>
<td>foxtrot</td>
<td>argo ader evelyn sepp</td>
<td>34</td>
<td>henrik normann</td>
<td>25</td>
</tr>
<tr>
<th>8</th>
<td>samba</td>
<td>maarja-liis ilus</td>
<td>37</td>
<td>henrik normann</td>
<td>26</td>
</tr>
<tr>
<th>9</th>
<td>showdance</td>
<td>argo adar maarja-liis ilus</td>
<td>40</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"abs ( worst score - best score )"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>abs ( worst score - best score )</td>
</tr>
<tr>
<th>1</th>
<td>abs ( worst score - best score )</td>
</tr>
</tbody>
</table> | select abs ( worst score - best score ) where worst score = 26 <table_name> : table | | dance | best dancer(s) | best score | worst dancer(s) | worst score |
|---:|:-------------------------------|:---------------------------|-------------:|:----------------------------|:--------------|
| 0 | cha cha | argo ader | 34 | henrik normann piret jarvis | 14 |
| 1 | waltz (international standard) | maarja-liis ilus | 36 | arne niit | 14 |
| 2 | rumba | argo ader | 40 | arne niit | 15 |
| 3 | quickstep | argo ader maarja-liis ilus | 40 | henrik normann piret jarvis | 16 |
| 4 | jive | argo ader | 32 | henrik normann | 24 |
| 5 | tango | maarja-liis ilus | 37 | erika salumae | 26 |
| 6 | paso doble | lauri pedaja | 36 | evelyn sepp | 28 |
| 7 | foxtrot | argo ader evelyn sepp | 34 | henrik normann | 25 |
| 8 | samba | maarja-liis ilus | 37 | henrik normann | 26 |
| 9 | showdance | argo adar maarja-liis ilus | 40 | none | none | | | | "abs ( worst score - best score )" |
|---:|:-------------------------------------|
| 0 | abs ( worst score - best score ) |
| 1 | abs ( worst score - best score ) | | [
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select count ( nation ) where nation = '0' col : rank | nation | gold | silver | bronze | total row 1 : 1 | chinese taipei (tpe) | 2 | 0 | 0 | 2 row 2 : 1 | russia (rus) | 2 | 0 | 0 | 2 row 3 : 3 | great britain (gbr) | 1 | 0 | 0 | 1 row 4 : 4 | slovakia (svk) | 0 | 2 | 2 | 4 row 5 : 5 | china (chn) | 0 | 2 | 1 | 3 row 6 : 6 | mexico (mex) | 0 | 1 | 1 | 2 row 7 : 7 | germany (ger) | 0 | 0 | 2 | 2 row 8 : 8 | south korea (kor) | 0 | 0 | 1 | 1 row 9 : 8 | switzerland (sui) | 0 | 0 | 1 | 1 row 10 : 8 | thailand (tha) | 0 | 0 | 1 | 1 row 11 : 8 | uzbekistan (uzb) | 0 | 0 | 1 | 1 | col : count ( "nation" ) row 1 : 0 | select count ( nation ) where nation = '0' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & chinese taipei (tpe) & 2 & 0 & 0 & 2 \\
1 & 1 & russia (rus) & 2 & 0 & 0 & 2 \\
2 & 3 & great britain (gbr) & 1 & 0 & 0 & 1 \\
3 & 4 & slovakia (svk) & 0 & 2 & 2 & 4 \\
4 & 5 & china (chn) & 0 & 2 & 1 & 3 \\
5 & 6 & mexico (mex) & 0 & 1 & 1 & 2 \\
6 & 7 & germany (ger) & 0 & 0 & 2 & 2 \\
7 & 8 & south korea (kor) & 0 & 0 & 1 & 1 \\
8 & 8 & switzerland (sui) & 0 & 0 & 1 & 1 \\
9 & 8 & thailand (tha) & 0 & 0 & 1 & 1 \\
10 & 8 & uzbekistan (uzb) & 0 & 0 & 1 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "nation" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( nation ) where nation = '0' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>chinese taipei (tpe)</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>russia (rus)</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>great britain (gbr)</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>slovakia (svk)</td>
<td>0</td>
<td>2</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>china (chn)</td>
<td>0</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>mexico (mex)</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>germany (ger)</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>south korea (kor)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>switzerland (sui)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>8</td>
<td>thailand (tha)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>10</th>
<td>8</td>
<td>uzbekistan (uzb)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "nation" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( nation ) where nation = '0' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|-------:|:---------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | chinese taipei (tpe) | 2 | 0 | 0 | 2 |
| 1 | 1 | russia (rus) | 2 | 0 | 0 | 2 |
| 2 | 3 | great britain (gbr) | 1 | 0 | 0 | 1 |
| 3 | 4 | slovakia (svk) | 0 | 2 | 2 | 4 |
| 4 | 5 | china (chn) | 0 | 2 | 1 | 3 |
| 5 | 6 | mexico (mex) | 0 | 1 | 1 | 2 |
| 6 | 7 | germany (ger) | 0 | 0 | 2 | 2 |
| 7 | 8 | south korea (kor) | 0 | 0 | 1 | 1 |
| 8 | 8 | switzerland (sui) | 0 | 0 | 1 | 1 |
| 9 | 8 | thailand (tha) | 0 | 0 | 1 | 1 |
| 10 | 8 | uzbekistan (uzb) | 0 | 0 | 1 | 1 | | | | count ( "nation" ) |
|---:|---------------------:|
| 0 | 0 | | [
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select event where year = 2007 col : year | competition | venue | position | event | notes row 1 : 2001 | beijing marathon | beijing, pr china | 7th | marathon | 2:10:46 row 2 : 2002 | beijing marathon | beijing, pr china | 1st | marathon | 2:13:09 row 3 : 2004 | olympic games | athens, greece | 31st | marathon | 2:19:26 row 4 : 2007 | xiamen international marathon | xiamen, pr china | 1st | marathon | 2:13:17 row 5 : 2007 | world championships | osaka, japan | 43rd | marathon | 2:32:44 row 6 : 2008 | olympic games | beijing, pr china | 51st | marathon | 2:24:08 | col : event row 1 : marathon row 2 : marathon | select event where year = 2007 <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & competition & venue & position & event & notes \\
\midrule
0 & 2001 & beijing marathon & beijing, pr china & 7th & marathon & 2:10:46 \\
1 & 2002 & beijing marathon & beijing, pr china & 1st & marathon & 2:13:09 \\
2 & 2004 & olympic games & athens, greece & 31st & marathon & 2:19:26 \\
3 & 2007 & xiamen international marathon & xiamen, pr china & 1st & marathon & 2:13:17 \\
4 & 2007 & world championships & osaka, japan & 43rd & marathon & 2:32:44 \\
5 & 2008 & olympic games & beijing, pr china & 51st & marathon & 2:24:08 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& event \\
\midrule
0 & marathon \\
1 & marathon \\
\bottomrule
\end{tabular}
| select event where year = 2007 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001</td>
<td>beijing marathon</td>
<td>beijing, pr china</td>
<td>7th</td>
<td>marathon</td>
<td>2:10:46</td>
</tr>
<tr>
<th>1</th>
<td>2002</td>
<td>beijing marathon</td>
<td>beijing, pr china</td>
<td>1st</td>
<td>marathon</td>
<td>2:13:09</td>
</tr>
<tr>
<th>2</th>
<td>2004</td>
<td>olympic games</td>
<td>athens, greece</td>
<td>31st</td>
<td>marathon</td>
<td>2:19:26</td>
</tr>
<tr>
<th>3</th>
<td>2007</td>
<td>xiamen international marathon</td>
<td>xiamen, pr china</td>
<td>1st</td>
<td>marathon</td>
<td>2:13:17</td>
</tr>
<tr>
<th>4</th>
<td>2007</td>
<td>world championships</td>
<td>osaka, japan</td>
<td>43rd</td>
<td>marathon</td>
<td>2:32:44</td>
</tr>
<tr>
<th>5</th>
<td>2008</td>
<td>olympic games</td>
<td>beijing, pr china</td>
<td>51st</td>
<td>marathon</td>
<td>2:24:08</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>event</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>marathon</td>
</tr>
<tr>
<th>1</th>
<td>marathon</td>
</tr>
</tbody>
</table> | select event where year = 2007 <table_name> : table | | year | competition | venue | position | event | notes |
|---:|-------:|:------------------------------|:------------------|:-----------|:---------|:--------|
| 0 | 2001 | beijing marathon | beijing, pr china | 7th | marathon | 2:10:46 |
| 1 | 2002 | beijing marathon | beijing, pr china | 1st | marathon | 2:13:09 |
| 2 | 2004 | olympic games | athens, greece | 31st | marathon | 2:19:26 |
| 3 | 2007 | xiamen international marathon | xiamen, pr china | 1st | marathon | 2:13:17 |
| 4 | 2007 | world championships | osaka, japan | 43rd | marathon | 2:32:44 |
| 5 | 2008 | olympic games | beijing, pr china | 51st | marathon | 2:24:08 | | | | event |
|---:|:---------|
| 0 | marathon |
| 1 | marathon | | [
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select maximum magnitude where star = 'omicron herculis' col : star | start year | end year | maximum year | maximum magnitude | distance at maximum (ly) | current distance | current magnitude row 1 : epsilon canis majoris | none | -4,460,000 | -4,700,000 | -3.99 | 34.0 | 430.0 | 1.5 row 2 : beta canis majoris | -4,460,000 | -3,700,000 | -4,420,000 | -3.65 | 37.0 | 500.0 | 1.99 row 3 : canopus (first time) | -3,700,000 | -1,370,000 | -3,110,000 | -1.86 | 177.0 | 310.0 | -0.72 row 4 : zeta sagittarii | -1,370,000 | -1,080,000 | -1,200,000 | -2.74 | 8.0 | 89.1 | 2.6 row 5 : zeta leporis | -1,080,000 | -950,000 | -1,050,000 | -2.05 | 5.3 | 70.0 | 3.55 row 6 : canopus (second time) | -950,000 | -420,000 | -950,000 | -1.09 | 252.0 | 310.0 | -0.72 row 7 : aldebaran | -420,000 | -210,000 | -320,000 | -1.54 | 21.5 | 65.0 | 0.85 row 8 : capella | -210,000 | -160,000 | -240,000 | -0.82 | 27.9 | 42.2 | 0.08 row 9 : canopus (third time) | -160,000 | -90,000 | -160,000 | -0.7 | 302.0 | 310.0 | -0.72 row 10 : sirius (current) | -90,000 | +210,000 | +60,000 | -1.64 | 7.8 | 8.6 | -1.46 row 11 : vega | +210,000 | +480,000 | +290,000 | -0.81 | 17.2 | 25.04 | 0.03 row 12 : canopus (fourth time) | +480,000 | +990,000 | +480,000 | -0.4 | 346.0 | 310.0 | -0.72 row 13 : beta aurigae | +990,000 | +1,150,000 | +1,190,000 | -0.4 | 28.5 | 82.1 | 1.9 row 14 : delta scuti | +1,150,000 | +1,330,000 | +1,250,000 | -1.84 | 9.2 | 187.0 | 4.72 row 15 : gamma draconis | +1,330,000 | +2,030,000 | +1,550,000 | -1.39 | 27.7 | 154.0 | 2.36 row 16 : upsilon librae | +2,030,000 | +2,670,000 | +2,290,000 | -0.46 | 30.0 | 195.0 | 3.6 row 17 : nr canis majoris | +2,670,000 | +3,050,000 | +2,870,000 | -0.88 | 14.0 | 280.0 | 5.6 row 18 : omicron herculis | +3,050,000 | +3,870,000 | +3,470,000 | -0.63 | 44.0 | 346.0 | 3.83 row 19 : beta cygni | +3,870,000 | none | +4,610,000 | -0.52 | 80.0 | 390.0 | 3.18 | col : max ( "maximum magnitude" ) row 1 : -0.63 | select maximum magnitude where star = 'omicron herculis' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& star & start year & end year & maximum year & maximum magnitude & distance at maximum (ly) & current distance & current magnitude \\
\midrule
0 & epsilon canis majoris & none & -4,460,000 & -4,700,000 & -3.99 & 34.0 & 430.0 & 1.5 \\
1 & beta canis majoris & -4,460,000 & -3,700,000 & -4,420,000 & -3.65 & 37.0 & 500.0 & 1.99 \\
2 & canopus (first time) & -3,700,000 & -1,370,000 & -3,110,000 & -1.86 & 177.0 & 310.0 & -0.72 \\
3 & zeta sagittarii & -1,370,000 & -1,080,000 & -1,200,000 & -2.74 & 8.0 & 89.1 & 2.6 \\
4 & zeta leporis & -1,080,000 & -950,000 & -1,050,000 & -2.05 & 5.3 & 70.0 & 3.55 \\
5 & canopus (second time) & -950,000 & -420,000 & -950,000 & -1.09 & 252.0 & 310.0 & -0.72 \\
6 & aldebaran & -420,000 & -210,000 & -320,000 & -1.54 & 21.5 & 65.0 & 0.85 \\
7 & capella & -210,000 & -160,000 & -240,000 & -0.82 & 27.9 & 42.2 & 0.08 \\
8 & canopus (third time) & -160,000 & -90,000 & -160,000 & -0.7 & 302.0 & 310.0 & -0.72 \\
9 & sirius (current) & -90,000 & +210,000 & +60,000 & -1.64 & 7.8 & 8.6 & -1.46 \\
10 & vega & +210,000 & +480,000 & +290,000 & -0.81 & 17.2 & 25.04 & 0.03 \\
11 & canopus (fourth time) & +480,000 & +990,000 & +480,000 & -0.4 & 346.0 & 310.0 & -0.72 \\
12 & beta aurigae & +990,000 & +1,150,000 & +1,190,000 & -0.4 & 28.5 & 82.1 & 1.9 \\
13 & delta scuti & +1,150,000 & +1,330,000 & +1,250,000 & -1.84 & 9.2 & 187.0 & 4.72 \\
14 & gamma draconis & +1,330,000 & +2,030,000 & +1,550,000 & -1.39 & 27.7 & 154.0 & 2.36 \\
15 & upsilon librae & +2,030,000 & +2,670,000 & +2,290,000 & -0.46 & 30.0 & 195.0 & 3.6 \\
16 & nr canis majoris & +2,670,000 & +3,050,000 & +2,870,000 & -0.88 & 14.0 & 280.0 & 5.6 \\
17 & omicron herculis & +3,050,000 & +3,870,000 & +3,470,000 & -0.63 & 44.0 & 346.0 & 3.83 \\
18 & beta cygni & +3,870,000 & none & +4,610,000 & -0.52 & 80.0 & 390.0 & 3.18 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& max ( "maximum magnitude" ) \\
\midrule
0 & -0.63 \\
\bottomrule
\end{tabular}
| select maximum magnitude where star = 'omicron herculis' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>star</th>
<th>start year</th>
<th>end year</th>
<th>maximum year</th>
<th>maximum magnitude</th>
<th>distance at maximum (ly)</th>
<th>current distance</th>
<th>current magnitude</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>epsilon canis majoris</td>
<td>none</td>
<td>-4,460,000</td>
<td>-4,700,000</td>
<td>-3.99</td>
<td>34.0</td>
<td>430.0</td>
<td>1.5</td>
</tr>
<tr>
<th>1</th>
<td>beta canis majoris</td>
<td>-4,460,000</td>
<td>-3,700,000</td>
<td>-4,420,000</td>
<td>-3.65</td>
<td>37.0</td>
<td>500.0</td>
<td>1.99</td>
</tr>
<tr>
<th>2</th>
<td>canopus (first time)</td>
<td>-3,700,000</td>
<td>-1,370,000</td>
<td>-3,110,000</td>
<td>-1.86</td>
<td>177.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>3</th>
<td>zeta sagittarii</td>
<td>-1,370,000</td>
<td>-1,080,000</td>
<td>-1,200,000</td>
<td>-2.74</td>
<td>8.0</td>
<td>89.1</td>
<td>2.6</td>
</tr>
<tr>
<th>4</th>
<td>zeta leporis</td>
<td>-1,080,000</td>
<td>-950,000</td>
<td>-1,050,000</td>
<td>-2.05</td>
<td>5.3</td>
<td>70.0</td>
<td>3.55</td>
</tr>
<tr>
<th>5</th>
<td>canopus (second time)</td>
<td>-950,000</td>
<td>-420,000</td>
<td>-950,000</td>
<td>-1.09</td>
<td>252.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>6</th>
<td>aldebaran</td>
<td>-420,000</td>
<td>-210,000</td>
<td>-320,000</td>
<td>-1.54</td>
<td>21.5</td>
<td>65.0</td>
<td>0.85</td>
</tr>
<tr>
<th>7</th>
<td>capella</td>
<td>-210,000</td>
<td>-160,000</td>
<td>-240,000</td>
<td>-0.82</td>
<td>27.9</td>
<td>42.2</td>
<td>0.08</td>
</tr>
<tr>
<th>8</th>
<td>canopus (third time)</td>
<td>-160,000</td>
<td>-90,000</td>
<td>-160,000</td>
<td>-0.7</td>
<td>302.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>9</th>
<td>sirius (current)</td>
<td>-90,000</td>
<td>+210,000</td>
<td>+60,000</td>
<td>-1.64</td>
<td>7.8</td>
<td>8.6</td>
<td>-1.46</td>
</tr>
<tr>
<th>10</th>
<td>vega</td>
<td>+210,000</td>
<td>+480,000</td>
<td>+290,000</td>
<td>-0.81</td>
<td>17.2</td>
<td>25.04</td>
<td>0.03</td>
</tr>
<tr>
<th>11</th>
<td>canopus (fourth time)</td>
<td>+480,000</td>
<td>+990,000</td>
<td>+480,000</td>
<td>-0.4</td>
<td>346.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>12</th>
<td>beta aurigae</td>
<td>+990,000</td>
<td>+1,150,000</td>
<td>+1,190,000</td>
<td>-0.4</td>
<td>28.5</td>
<td>82.1</td>
<td>1.9</td>
</tr>
<tr>
<th>13</th>
<td>delta scuti</td>
<td>+1,150,000</td>
<td>+1,330,000</td>
<td>+1,250,000</td>
<td>-1.84</td>
<td>9.2</td>
<td>187.0</td>
<td>4.72</td>
</tr>
<tr>
<th>14</th>
<td>gamma draconis</td>
<td>+1,330,000</td>
<td>+2,030,000</td>
<td>+1,550,000</td>
<td>-1.39</td>
<td>27.7</td>
<td>154.0</td>
<td>2.36</td>
</tr>
<tr>
<th>15</th>
<td>upsilon librae</td>
<td>+2,030,000</td>
<td>+2,670,000</td>
<td>+2,290,000</td>
<td>-0.46</td>
<td>30.0</td>
<td>195.0</td>
<td>3.6</td>
</tr>
<tr>
<th>16</th>
<td>nr canis majoris</td>
<td>+2,670,000</td>
<td>+3,050,000</td>
<td>+2,870,000</td>
<td>-0.88</td>
<td>14.0</td>
<td>280.0</td>
<td>5.6</td>
</tr>
<tr>
<th>17</th>
<td>omicron herculis</td>
<td>+3,050,000</td>
<td>+3,870,000</td>
<td>+3,470,000</td>
<td>-0.63</td>
<td>44.0</td>
<td>346.0</td>
<td>3.83</td>
</tr>
<tr>
<th>18</th>
<td>beta cygni</td>
<td>+3,870,000</td>
<td>none</td>
<td>+4,610,000</td>
<td>-0.52</td>
<td>80.0</td>
<td>390.0</td>
<td>3.18</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>max ( "maximum magnitude" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>-0.63</td>
</tr>
</tbody>
</table> | select maximum magnitude where star = 'omicron herculis' <table_name> : table | | star | start year | end year | maximum year | maximum magnitude | distance at maximum (ly) | current distance | current magnitude |
|---:|:----------------------|:-------------|:-----------|:---------------|--------------------:|---------------------------:|-------------------:|--------------------:|
| 0 | epsilon canis majoris | none | -4,460,000 | -4,700,000 | -3.99 | 34 | 430 | 1.5 |
| 1 | beta canis majoris | -4,460,000 | -3,700,000 | -4,420,000 | -3.65 | 37 | 500 | 1.99 |
| 2 | canopus (first time) | -3,700,000 | -1,370,000 | -3,110,000 | -1.86 | 177 | 310 | -0.72 |
| 3 | zeta sagittarii | -1,370,000 | -1,080,000 | -1,200,000 | -2.74 | 8 | 89.1 | 2.6 |
| 4 | zeta leporis | -1,080,000 | -950,000 | -1,050,000 | -2.05 | 5.3 | 70 | 3.55 |
| 5 | canopus (second time) | -950,000 | -420,000 | -950,000 | -1.09 | 252 | 310 | -0.72 |
| 6 | aldebaran | -420,000 | -210,000 | -320,000 | -1.54 | 21.5 | 65 | 0.85 |
| 7 | capella | -210,000 | -160,000 | -240,000 | -0.82 | 27.9 | 42.2 | 0.08 |
| 8 | canopus (third time) | -160,000 | -90,000 | -160,000 | -0.7 | 302 | 310 | -0.72 |
| 9 | sirius (current) | -90,000 | +210,000 | +60,000 | -1.64 | 7.8 | 8.6 | -1.46 |
| 10 | vega | +210,000 | +480,000 | +290,000 | -0.81 | 17.2 | 25.04 | 0.03 |
| 11 | canopus (fourth time) | +480,000 | +990,000 | +480,000 | -0.4 | 346 | 310 | -0.72 |
| 12 | beta aurigae | +990,000 | +1,150,000 | +1,190,000 | -0.4 | 28.5 | 82.1 | 1.9 |
| 13 | delta scuti | +1,150,000 | +1,330,000 | +1,250,000 | -1.84 | 9.2 | 187 | 4.72 |
| 14 | gamma draconis | +1,330,000 | +2,030,000 | +1,550,000 | -1.39 | 27.7 | 154 | 2.36 |
| 15 | upsilon librae | +2,030,000 | +2,670,000 | +2,290,000 | -0.46 | 30 | 195 | 3.6 |
| 16 | nr canis majoris | +2,670,000 | +3,050,000 | +2,870,000 | -0.88 | 14 | 280 | 5.6 |
| 17 | omicron herculis | +3,050,000 | +3,870,000 | +3,470,000 | -0.63 | 44 | 346 | 3.83 |
| 18 | beta cygni | +3,870,000 | none | +4,610,000 | -0.52 | 80 | 390 | 3.18 | | | | max ( "maximum magnitude" ) |
|---:|------------------------------:|
| 0 | -0.63 | | [
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select count ( arena ) where date = 'january 5, 1994' col : date | winning team | score -1 | losing team | score -2 | ot | city | state/province | arena | attendance row 1 : 1993-10-21 00:00:00 | st. louis | 5 | san jose | 2 | none | sacramento | ca | arco arena | 7144 row 2 : 1993-10-31 00:00:00 | ny rangers | 4 | new jersey | 1 | none | halifax | ns | halifax metro centre | 8200 row 3 : 1993-11-03 00:00:00 | pittsburgh | 6 | buffalo | 2 | none | sacramento | ca | arco arena | 10117 row 4 : 1993-11-09 00:00:00 | anaheim | 4 | dallas | 2 | none | phoenix | az | america west arena | 8143 row 5 : 1993-11-18 00:00:00 | ny islanders | 5 | montreal | 1 | none | hamilton | on | copps coliseum | 17008 row 6 : 1993-12-09 00:00:00 | dallas | 6 | ottawa | 1 | none | minneapolis | mn | target center | 14058 row 7 : 1993-12-23 00:00:00 | vancouver | 4 | calgary | 3 | none | saskatoon | sk | saskplace | 11429 row 8 : 1993-12-31 00:00:00 | philadelphia | 4 | boston | 3 | none | minneapolis | mn | target center | 10855 row 9 : 1994-01-04 00:00:00 | tampa bay | 1 | toronto | 0 | none | hamilton | on | copps coliseum | 17526 row 10 : 1994-01-05 00:00:00 | montreal | 2 | quebec | 0 | none | phoenix | az | america west arena | 11393 row 11 : 1994-01-06 00:00:00 | st. louis | 2 | hartford | 1 | none | cleveland | oh | richfield coliseum | 6956 row 12 : 1994-01-17 00:00:00 | detroit | 6 | tampa bay | 3 | none | minneapolis | mn | target center | 8764 row 13 : 1994-01-23 00:00:00 | vancouver | 5 | edmonton | 4 | (ot) | saskatoon | sk | saskplace | none row 14 : 1994-01-24 00:00:00 | calgary | 3 | los angeles | 3 | (ot) | phoenix | az | america west arena | 14864 row 15 : 1994-02-02 00:00:00 | washington | 5 | philadelphia | 2 | none | cleveland | oh | richfield coliseum | 8312 row 16 : 1994-02-08 00:00:00 | san jose | 4 | chicago | 3 | none | sacramento | ca | arco arena | 14182 row 17 : 1994-02-22 00:00:00 | florida | 3 | winnipeg | 2 | none | hamilton | on | copps coliseum | 6291 row 18 : 1994-02-24 00:00:00 | detroit | 3 | hartford | 0 | none | cleveland | oh | richfield coliseum | 11621 row 19 : 1994-03-04 00:00:00 | winnipeg | 6 | ottawa | 1 | none | minneapolis | mn | target center | 6388 row 20 : 1994-03-08 00:00:00 | chicago | 3 | anaheim | 0 | none | phoenix | az | america west arena | 13847 row 21 : 1994-03-09 00:00:00 | ny rangers | 7 | washington | 5 | none | halifax | ns | halifax metro centre | 9200 row 22 : 1994-03-18 00:00:00 | buffalo | 2 | ny islanders | 2 | (ot) | minneapolis | mn | target center | 8016 row 23 : 1994-03-23 00:00:00 | florida | 1 | toronto | 1 | (ot) | hamilton | on | copps coliseum | 17096 row 24 : 1994-03-27 00:00:00 | new jersey | 5 | quebec | 2 | none | minneapolis | mn | target center | 6222 row 25 : 1994-04-03 00:00:00 | pittsburgh | 6 | boston | 2 | none | cleveland | oh | richfield coliseum | 17224 row 26 : 1994-04-03 00:00:00 | los angeles | 6 | edmonton | 1 | none | sacramento | ca | arco arena | 10363 | col : count ( "arena" ) row 1 : 1 | select count ( arena ) where date = 'january 5, 1994' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& date & winning team & score -1 & losing team & score -2 & ot & city & state/province & arena & attendance \\
\midrule
0 & 1993-10-21 00:00:00 & st. louis & 5 & san jose & 2 & none & sacramento & ca & arco arena & 7144 \\
1 & 1993-10-31 00:00:00 & ny rangers & 4 & new jersey & 1 & none & halifax & ns & halifax metro centre & 8200 \\
2 & 1993-11-03 00:00:00 & pittsburgh & 6 & buffalo & 2 & none & sacramento & ca & arco arena & 10117 \\
3 & 1993-11-09 00:00:00 & anaheim & 4 & dallas & 2 & none & phoenix & az & america west arena & 8143 \\
4 & 1993-11-18 00:00:00 & ny islanders & 5 & montreal & 1 & none & hamilton & on & copps coliseum & 17008 \\
5 & 1993-12-09 00:00:00 & dallas & 6 & ottawa & 1 & none & minneapolis & mn & target center & 14058 \\
6 & 1993-12-23 00:00:00 & vancouver & 4 & calgary & 3 & none & saskatoon & sk & saskplace & 11429 \\
7 & 1993-12-31 00:00:00 & philadelphia & 4 & boston & 3 & none & minneapolis & mn & target center & 10855 \\
8 & 1994-01-04 00:00:00 & tampa bay & 1 & toronto & 0 & none & hamilton & on & copps coliseum & 17526 \\
9 & 1994-01-05 00:00:00 & montreal & 2 & quebec & 0 & none & phoenix & az & america west arena & 11393 \\
10 & 1994-01-06 00:00:00 & st. louis & 2 & hartford & 1 & none & cleveland & oh & richfield coliseum & 6956 \\
11 & 1994-01-17 00:00:00 & detroit & 6 & tampa bay & 3 & none & minneapolis & mn & target center & 8764 \\
12 & 1994-01-23 00:00:00 & vancouver & 5 & edmonton & 4 & (ot) & saskatoon & sk & saskplace & none \\
13 & 1994-01-24 00:00:00 & calgary & 3 & los angeles & 3 & (ot) & phoenix & az & america west arena & 14864 \\
14 & 1994-02-02 00:00:00 & washington & 5 & philadelphia & 2 & none & cleveland & oh & richfield coliseum & 8312 \\
15 & 1994-02-08 00:00:00 & san jose & 4 & chicago & 3 & none & sacramento & ca & arco arena & 14182 \\
16 & 1994-02-22 00:00:00 & florida & 3 & winnipeg & 2 & none & hamilton & on & copps coliseum & 6291 \\
17 & 1994-02-24 00:00:00 & detroit & 3 & hartford & 0 & none & cleveland & oh & richfield coliseum & 11621 \\
18 & 1994-03-04 00:00:00 & winnipeg & 6 & ottawa & 1 & none & minneapolis & mn & target center & 6388 \\
19 & 1994-03-08 00:00:00 & chicago & 3 & anaheim & 0 & none & phoenix & az & america west arena & 13847 \\
20 & 1994-03-09 00:00:00 & ny rangers & 7 & washington & 5 & none & halifax & ns & halifax metro centre & 9200 \\
21 & 1994-03-18 00:00:00 & buffalo & 2 & ny islanders & 2 & (ot) & minneapolis & mn & target center & 8016 \\
22 & 1994-03-23 00:00:00 & florida & 1 & toronto & 1 & (ot) & hamilton & on & copps coliseum & 17096 \\
23 & 1994-03-27 00:00:00 & new jersey & 5 & quebec & 2 & none & minneapolis & mn & target center & 6222 \\
24 & 1994-04-03 00:00:00 & pittsburgh & 6 & boston & 2 & none & cleveland & oh & richfield coliseum & 17224 \\
25 & 1994-04-03 00:00:00 & los angeles & 6 & edmonton & 1 & none & sacramento & ca & arco arena & 10363 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "arena" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( arena ) where date = 'january 5, 1994' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>winning team</th>
<th>score -1</th>
<th>losing team</th>
<th>score -2</th>
<th>ot</th>
<th>city</th>
<th>state/province</th>
<th>arena</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1993-10-21 00:00:00</td>
<td>st. louis</td>
<td>5</td>
<td>san jose</td>
<td>2</td>
<td>none</td>
<td>sacramento</td>
<td>ca</td>
<td>arco arena</td>
<td>7144</td>
</tr>
<tr>
<th>1</th>
<td>1993-10-31 00:00:00</td>
<td>ny rangers</td>
<td>4</td>
<td>new jersey</td>
<td>1</td>
<td>none</td>
<td>halifax</td>
<td>ns</td>
<td>halifax metro centre</td>
<td>8200</td>
</tr>
<tr>
<th>2</th>
<td>1993-11-03 00:00:00</td>
<td>pittsburgh</td>
<td>6</td>
<td>buffalo</td>
<td>2</td>
<td>none</td>
<td>sacramento</td>
<td>ca</td>
<td>arco arena</td>
<td>10117</td>
</tr>
<tr>
<th>3</th>
<td>1993-11-09 00:00:00</td>
<td>anaheim</td>
<td>4</td>
<td>dallas</td>
<td>2</td>
<td>none</td>
<td>phoenix</td>
<td>az</td>
<td>america west arena</td>
<td>8143</td>
</tr>
<tr>
<th>4</th>
<td>1993-11-18 00:00:00</td>
<td>ny islanders</td>
<td>5</td>
<td>montreal</td>
<td>1</td>
<td>none</td>
<td>hamilton</td>
<td>on</td>
<td>copps coliseum</td>
<td>17008</td>
</tr>
<tr>
<th>5</th>
<td>1993-12-09 00:00:00</td>
<td>dallas</td>
<td>6</td>
<td>ottawa</td>
<td>1</td>
<td>none</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>14058</td>
</tr>
<tr>
<th>6</th>
<td>1993-12-23 00:00:00</td>
<td>vancouver</td>
<td>4</td>
<td>calgary</td>
<td>3</td>
<td>none</td>
<td>saskatoon</td>
<td>sk</td>
<td>saskplace</td>
<td>11429</td>
</tr>
<tr>
<th>7</th>
<td>1993-12-31 00:00:00</td>
<td>philadelphia</td>
<td>4</td>
<td>boston</td>
<td>3</td>
<td>none</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>10855</td>
</tr>
<tr>
<th>8</th>
<td>1994-01-04 00:00:00</td>
<td>tampa bay</td>
<td>1</td>
<td>toronto</td>
<td>0</td>
<td>none</td>
<td>hamilton</td>
<td>on</td>
<td>copps coliseum</td>
<td>17526</td>
</tr>
<tr>
<th>9</th>
<td>1994-01-05 00:00:00</td>
<td>montreal</td>
<td>2</td>
<td>quebec</td>
<td>0</td>
<td>none</td>
<td>phoenix</td>
<td>az</td>
<td>america west arena</td>
<td>11393</td>
</tr>
<tr>
<th>10</th>
<td>1994-01-06 00:00:00</td>
<td>st. louis</td>
<td>2</td>
<td>hartford</td>
<td>1</td>
<td>none</td>
<td>cleveland</td>
<td>oh</td>
<td>richfield coliseum</td>
<td>6956</td>
</tr>
<tr>
<th>11</th>
<td>1994-01-17 00:00:00</td>
<td>detroit</td>
<td>6</td>
<td>tampa bay</td>
<td>3</td>
<td>none</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>8764</td>
</tr>
<tr>
<th>12</th>
<td>1994-01-23 00:00:00</td>
<td>vancouver</td>
<td>5</td>
<td>edmonton</td>
<td>4</td>
<td>(ot)</td>
<td>saskatoon</td>
<td>sk</td>
<td>saskplace</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>1994-01-24 00:00:00</td>
<td>calgary</td>
<td>3</td>
<td>los angeles</td>
<td>3</td>
<td>(ot)</td>
<td>phoenix</td>
<td>az</td>
<td>america west arena</td>
<td>14864</td>
</tr>
<tr>
<th>14</th>
<td>1994-02-02 00:00:00</td>
<td>washington</td>
<td>5</td>
<td>philadelphia</td>
<td>2</td>
<td>none</td>
<td>cleveland</td>
<td>oh</td>
<td>richfield coliseum</td>
<td>8312</td>
</tr>
<tr>
<th>15</th>
<td>1994-02-08 00:00:00</td>
<td>san jose</td>
<td>4</td>
<td>chicago</td>
<td>3</td>
<td>none</td>
<td>sacramento</td>
<td>ca</td>
<td>arco arena</td>
<td>14182</td>
</tr>
<tr>
<th>16</th>
<td>1994-02-22 00:00:00</td>
<td>florida</td>
<td>3</td>
<td>winnipeg</td>
<td>2</td>
<td>none</td>
<td>hamilton</td>
<td>on</td>
<td>copps coliseum</td>
<td>6291</td>
</tr>
<tr>
<th>17</th>
<td>1994-02-24 00:00:00</td>
<td>detroit</td>
<td>3</td>
<td>hartford</td>
<td>0</td>
<td>none</td>
<td>cleveland</td>
<td>oh</td>
<td>richfield coliseum</td>
<td>11621</td>
</tr>
<tr>
<th>18</th>
<td>1994-03-04 00:00:00</td>
<td>winnipeg</td>
<td>6</td>
<td>ottawa</td>
<td>1</td>
<td>none</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>6388</td>
</tr>
<tr>
<th>19</th>
<td>1994-03-08 00:00:00</td>
<td>chicago</td>
<td>3</td>
<td>anaheim</td>
<td>0</td>
<td>none</td>
<td>phoenix</td>
<td>az</td>
<td>america west arena</td>
<td>13847</td>
</tr>
<tr>
<th>20</th>
<td>1994-03-09 00:00:00</td>
<td>ny rangers</td>
<td>7</td>
<td>washington</td>
<td>5</td>
<td>none</td>
<td>halifax</td>
<td>ns</td>
<td>halifax metro centre</td>
<td>9200</td>
</tr>
<tr>
<th>21</th>
<td>1994-03-18 00:00:00</td>
<td>buffalo</td>
<td>2</td>
<td>ny islanders</td>
<td>2</td>
<td>(ot)</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>8016</td>
</tr>
<tr>
<th>22</th>
<td>1994-03-23 00:00:00</td>
<td>florida</td>
<td>1</td>
<td>toronto</td>
<td>1</td>
<td>(ot)</td>
<td>hamilton</td>
<td>on</td>
<td>copps coliseum</td>
<td>17096</td>
</tr>
<tr>
<th>23</th>
<td>1994-03-27 00:00:00</td>
<td>new jersey</td>
<td>5</td>
<td>quebec</td>
<td>2</td>
<td>none</td>
<td>minneapolis</td>
<td>mn</td>
<td>target center</td>
<td>6222</td>
</tr>
<tr>
<th>24</th>
<td>1994-04-03 00:00:00</td>
<td>pittsburgh</td>
<td>6</td>
<td>boston</td>
<td>2</td>
<td>none</td>
<td>cleveland</td>
<td>oh</td>
<td>richfield coliseum</td>
<td>17224</td>
</tr>
<tr>
<th>25</th>
<td>1994-04-03 00:00:00</td>
<td>los angeles</td>
<td>6</td>
<td>edmonton</td>
<td>1</td>
<td>none</td>
<td>sacramento</td>
<td>ca</td>
<td>arco arena</td>
<td>10363</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "arena" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( arena ) where date = 'january 5, 1994' <table_name> : table | | date | winning team | score -1 | losing team | score -2 | ot | city | state/province | arena | attendance |
|---:|:--------------------|:---------------|-----------:|:--------------|-----------:|:-----|:------------|:-----------------|:---------------------|:-------------|
| 0 | 1993-10-21 00:00:00 | st. louis | 5 | san jose | 2 | none | sacramento | ca | arco arena | 7144 |
| 1 | 1993-10-31 00:00:00 | ny rangers | 4 | new jersey | 1 | none | halifax | ns | halifax metro centre | 8200 |
| 2 | 1993-11-03 00:00:00 | pittsburgh | 6 | buffalo | 2 | none | sacramento | ca | arco arena | 10117 |
| 3 | 1993-11-09 00:00:00 | anaheim | 4 | dallas | 2 | none | phoenix | az | america west arena | 8143 |
| 4 | 1993-11-18 00:00:00 | ny islanders | 5 | montreal | 1 | none | hamilton | on | copps coliseum | 17008 |
| 5 | 1993-12-09 00:00:00 | dallas | 6 | ottawa | 1 | none | minneapolis | mn | target center | 14058 |
| 6 | 1993-12-23 00:00:00 | vancouver | 4 | calgary | 3 | none | saskatoon | sk | saskplace | 11429 |
| 7 | 1993-12-31 00:00:00 | philadelphia | 4 | boston | 3 | none | minneapolis | mn | target center | 10855 |
| 8 | 1994-01-04 00:00:00 | tampa bay | 1 | toronto | 0 | none | hamilton | on | copps coliseum | 17526 |
| 9 | 1994-01-05 00:00:00 | montreal | 2 | quebec | 0 | none | phoenix | az | america west arena | 11393 |
| 10 | 1994-01-06 00:00:00 | st. louis | 2 | hartford | 1 | none | cleveland | oh | richfield coliseum | 6956 |
| 11 | 1994-01-17 00:00:00 | detroit | 6 | tampa bay | 3 | none | minneapolis | mn | target center | 8764 |
| 12 | 1994-01-23 00:00:00 | vancouver | 5 | edmonton | 4 | (ot) | saskatoon | sk | saskplace | none |
| 13 | 1994-01-24 00:00:00 | calgary | 3 | los angeles | 3 | (ot) | phoenix | az | america west arena | 14864 |
| 14 | 1994-02-02 00:00:00 | washington | 5 | philadelphia | 2 | none | cleveland | oh | richfield coliseum | 8312 |
| 15 | 1994-02-08 00:00:00 | san jose | 4 | chicago | 3 | none | sacramento | ca | arco arena | 14182 |
| 16 | 1994-02-22 00:00:00 | florida | 3 | winnipeg | 2 | none | hamilton | on | copps coliseum | 6291 |
| 17 | 1994-02-24 00:00:00 | detroit | 3 | hartford | 0 | none | cleveland | oh | richfield coliseum | 11621 |
| 18 | 1994-03-04 00:00:00 | winnipeg | 6 | ottawa | 1 | none | minneapolis | mn | target center | 6388 |
| 19 | 1994-03-08 00:00:00 | chicago | 3 | anaheim | 0 | none | phoenix | az | america west arena | 13847 |
| 20 | 1994-03-09 00:00:00 | ny rangers | 7 | washington | 5 | none | halifax | ns | halifax metro centre | 9200 |
| 21 | 1994-03-18 00:00:00 | buffalo | 2 | ny islanders | 2 | (ot) | minneapolis | mn | target center | 8016 |
| 22 | 1994-03-23 00:00:00 | florida | 1 | toronto | 1 | (ot) | hamilton | on | copps coliseum | 17096 |
| 23 | 1994-03-27 00:00:00 | new jersey | 5 | quebec | 2 | none | minneapolis | mn | target center | 6222 |
| 24 | 1994-04-03 00:00:00 | pittsburgh | 6 | boston | 2 | none | cleveland | oh | richfield coliseum | 17224 |
| 25 | 1994-04-03 00:00:00 | los angeles | 6 | edmonton | 1 | none | sacramento | ca | arco arena | 10363 | | | | count ( "arena" ) |
|---:|--------------------:|
| 0 | 1 | | [
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3639,
571,
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571,
2
]
] | [
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1,
1,
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select count ( * ) where club(s) = 1 col : nr. | name | area (km2) | population (2006) | capital | club(s) row 1 : 1 | alexandria | 2900 | 4110015 | alexandria | al itthad al sakandary - el-olympi - haras el hodood row 2 : 2 | asyut | 25926 | 3441597 | asyut | petrol asyout row 3 : 3 | cairo | 3435 | 7786640 | cairo | al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat row 4 : 4 | gharbia | 25400 | 3790670 | tanta | ghazl el-mehalla row 5 : 5 | giza | 85153 | 6272571 | giza | zamalek- tersana row 6 : 6 | ismailia | 1442 | 942832 | ismailia | ismaily row 7 : 7 | port said | 72 | 570768 | port said | al masry row 8 : 6 | suez | 17840 | 510935 | suez | petrojet | col : count ( "*" ) row 1 : 0 | select count ( * ) where club(s) = 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& nr. & name & area (km2) & population (2006) & capital & club(s) \\
\midrule
0 & 1 & alexandria & 2900 & 4110015 & alexandria & al itthad al sakandary - el-olympi - haras el hodood \\
1 & 2 & asyut & 25926 & 3441597 & asyut & petrol asyout \\
2 & 3 & cairo & 3435 & 7786640 & cairo & al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat \\
3 & 4 & gharbia & 25400 & 3790670 & tanta & ghazl el-mehalla \\
4 & 5 & giza & 85153 & 6272571 & giza & zamalek- tersana \\
5 & 6 & ismailia & 1442 & 942832 & ismailia & ismaily \\
6 & 7 & port said & 72 & 570768 & port said & al masry \\
7 & 6 & suez & 17840 & 510935 & suez & petrojet \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where club(s) = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nr.</th>
<th>name</th>
<th>area (km2)</th>
<th>population (2006)</th>
<th>capital</th>
<th>club(s)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>alexandria</td>
<td>2900</td>
<td>4110015</td>
<td>alexandria</td>
<td>al itthad al sakandary - el-olympi - haras el hodood</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>asyut</td>
<td>25926</td>
<td>3441597</td>
<td>asyut</td>
<td>petrol asyout</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>cairo</td>
<td>3435</td>
<td>7786640</td>
<td>cairo</td>
<td>al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>gharbia</td>
<td>25400</td>
<td>3790670</td>
<td>tanta</td>
<td>ghazl el-mehalla</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>giza</td>
<td>85153</td>
<td>6272571</td>
<td>giza</td>
<td>zamalek- tersana</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>ismailia</td>
<td>1442</td>
<td>942832</td>
<td>ismailia</td>
<td>ismaily</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>port said</td>
<td>72</td>
<td>570768</td>
<td>port said</td>
<td>al masry</td>
</tr>
<tr>
<th>7</th>
<td>6</td>
<td>suez</td>
<td>17840</td>
<td>510935</td>
<td>suez</td>
<td>petrojet</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where club(s) = 1 <table_name> : table | | nr. | name | area (km2) | population (2006) | capital | club(s) |
|---:|------:|:-----------|-------------:|--------------------:|:-----------|:-----------------------------------------------------------------|
| 0 | 1 | alexandria | 2900 | 4110015 | alexandria | al itthad al sakandary - el-olympi - haras el hodood |
| 1 | 2 | asyut | 25926 | 3441597 | asyut | petrol asyout |
| 2 | 3 | cairo | 3435 | 7786640 | cairo | al-ahly - al mokawloon - enppi - el-jaish - el-shorta - itesalat |
| 3 | 4 | gharbia | 25400 | 3790670 | tanta | ghazl el-mehalla |
| 4 | 5 | giza | 85153 | 6272571 | giza | zamalek- tersana |
| 5 | 6 | ismailia | 1442 | 942832 | ismailia | ismaily |
| 6 | 7 | port said | 72 | 570768 | port said | al masry |
| 7 | 6 | suez | 17840 | 510935 | suez | petrojet | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select season where place = '15th' order by tier asc limit 1 col : season | tier | division | place row 1 : 1963-86 | 5 | regional | none row 2 : 1986/87 | 5 | preferente | 2nd row 3 : 1987/88 | 4 | 3a | 15th row 4 : 1988/89 | 4 | 3a | 15th row 5 : 1989/90 | 4 | 3a | 17th row 6 : 1990/91 | 4 | 3a | 12th row 7 : 1991/92 | 4 | 3a | 18th row 8 : 1992/93 | 5 | preferente | 1st row 9 : 1993/94 | 4 | 3a | 14th row 10 : 1994/95 | 4 | 3a | 16th row 11 : 1995/96 | 4 | 3a | 19th row 12 : 1996/97 | 5 | preferente | 1st row 13 : 1997/98 | 4 | 3a | 7th row 14 : 1998/99 | 4 | 3a | 18th | col : season row 1 : 1987/88 | select season where place = '15th' order by tier asc limit 1 <table_name> : table \begin{tabular}{lllll}
\toprule
& season & tier & division & place \\
\midrule
0 & 1963-86 & 5 & regional & none \\
1 & 1986/87 & 5 & preferente & 2nd \\
2 & 1987/88 & 4 & 3a & 15th \\
3 & 1988/89 & 4 & 3a & 15th \\
4 & 1989/90 & 4 & 3a & 17th \\
5 & 1990/91 & 4 & 3a & 12th \\
6 & 1991/92 & 4 & 3a & 18th \\
7 & 1992/93 & 5 & preferente & 1st \\
8 & 1993/94 & 4 & 3a & 14th \\
9 & 1994/95 & 4 & 3a & 16th \\
10 & 1995/96 & 4 & 3a & 19th \\
11 & 1996/97 & 5 & preferente & 1st \\
12 & 1997/98 & 4 & 3a & 7th \\
13 & 1998/99 & 4 & 3a & 18th \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& season \\
\midrule
0 & 1987/88 \\
\bottomrule
\end{tabular}
| select season where place = '15th' order by tier asc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>tier</th>
<th>division</th>
<th>place</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1963-86</td>
<td>5</td>
<td>regional</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1986/87</td>
<td>5</td>
<td>preferente</td>
<td>2nd</td>
</tr>
<tr>
<th>2</th>
<td>1987/88</td>
<td>4</td>
<td>3a</td>
<td>15th</td>
</tr>
<tr>
<th>3</th>
<td>1988/89</td>
<td>4</td>
<td>3a</td>
<td>15th</td>
</tr>
<tr>
<th>4</th>
<td>1989/90</td>
<td>4</td>
<td>3a</td>
<td>17th</td>
</tr>
<tr>
<th>5</th>
<td>1990/91</td>
<td>4</td>
<td>3a</td>
<td>12th</td>
</tr>
<tr>
<th>6</th>
<td>1991/92</td>
<td>4</td>
<td>3a</td>
<td>18th</td>
</tr>
<tr>
<th>7</th>
<td>1992/93</td>
<td>5</td>
<td>preferente</td>
<td>1st</td>
</tr>
<tr>
<th>8</th>
<td>1993/94</td>
<td>4</td>
<td>3a</td>
<td>14th</td>
</tr>
<tr>
<th>9</th>
<td>1994/95</td>
<td>4</td>
<td>3a</td>
<td>16th</td>
</tr>
<tr>
<th>10</th>
<td>1995/96</td>
<td>4</td>
<td>3a</td>
<td>19th</td>
</tr>
<tr>
<th>11</th>
<td>1996/97</td>
<td>5</td>
<td>preferente</td>
<td>1st</td>
</tr>
<tr>
<th>12</th>
<td>1997/98</td>
<td>4</td>
<td>3a</td>
<td>7th</td>
</tr>
<tr>
<th>13</th>
<td>1998/99</td>
<td>4</td>
<td>3a</td>
<td>18th</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1987/88</td>
</tr>
</tbody>
</table> | select season where place = '15th' order by tier asc limit 1 <table_name> : table | | season | tier | division | place |
|---:|:---------|-------:|:-----------|:--------|
| 0 | 1963-86 | 5 | regional | none |
| 1 | 1986/87 | 5 | preferente | 2nd |
| 2 | 1987/88 | 4 | 3a | 15th |
| 3 | 1988/89 | 4 | 3a | 15th |
| 4 | 1989/90 | 4 | 3a | 17th |
| 5 | 1990/91 | 4 | 3a | 12th |
| 6 | 1991/92 | 4 | 3a | 18th |
| 7 | 1992/93 | 5 | preferente | 1st |
| 8 | 1993/94 | 4 | 3a | 14th |
| 9 | 1994/95 | 4 | 3a | 16th |
| 10 | 1995/96 | 4 | 3a | 19th |
| 11 | 1996/97 | 5 | preferente | 1st |
| 12 | 1997/98 | 4 | 3a | 7th |
| 13 | 1998/99 | 4 | 3a | 18th | | | | season |
|---:|:---------|
| 0 | 1987/88 | | [
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select result where week = 1 col : week | date | tv time | opponent | result | attendance | bye row 1 : 1 | september 6, 1998 | fox 1:05 pm mt | at dallas cowboys | l 38-10 | 63602 | 0 row 2 : 2 | september 13, 1998 | fox 1:15 pm mt | at seattle seahawks | l 33-14 | 57678 | 0 row 3 : 3 | september 20, 1998 | espn 5:15 pm mt | philadelphia eagles | w 17-3 | 39782 | 0 row 4 : 4 | september 27, 1998 | fox 10:00 am mt | at st. louis rams | w 20-17 | 55832 | 0 row 5 : 5 | october 4, 1998 | cbs 1:05 pm mt | oakland raiders | l 23-20 | 53,24 | 0 row 6 : 6 | october 11, 1998 | fox 1:05 pm mt | chicago bears | w 20-7 | 50495 | 0 row 7 : 7 | october 18, 1998 | fox 10:00 am mt | at new york giants | l 34-7 | 70456 | 0 row 8 : 8 | none | none | none | none | none | 1 row 9 : 9 | november 1, 1998 | fox 11:00 am mt | at detroit lions | w 17-15 | 66087 | 0 row 10 : 10 | november 8, 1998 | fox 2:15 pm mt | washington redskins | w 29-27 | 45,95 | 0 row 11 : 11 | november 15, 1998 | fox 2:15 pm mt | dallas cowboys | l 35-28 | 71,67 | 0 row 12 : 12 | november 22, 1998 | fox 11:00 am mt | at washington redskins | w 45-42 | 63435 | 0 row 13 : 13 | november 29, 1998 | fox 11:00 am mt | at kansas city chiefs | l 34-24 | 69613 | 0 row 14 : 14 | december 6, 1998 | fox 2:15 pm mt | new york giants | l 23-19 | 46128 | 0 row 15 : 15 | december 13, 1998 | fox 11:00 am mt | at philadelphia eagles | w 20-17 | 62176 | 0 row 16 : 16 | december 20, 1998 | fox 2:05 pm mt | new orleans saints | w 19-17 | 51617 | 0 row 17 : 17 | december 27, 1998 | cbs 2:05 pm mt | san diego chargers | w 16-13 | 71,67 | 0 | col : result row 1 : l 38-10 | select result where week = 1 <table_name> : table \begin{tabular}{llllllll}
\toprule
& week & date & tv time & opponent & result & attendance & bye \\
\midrule
0 & 1 & september 6, 1998 & fox 1:05 pm mt & at dallas cowboys & l 38-10 & 63602 & 0 \\
1 & 2 & september 13, 1998 & fox 1:15 pm mt & at seattle seahawks & l 33-14 & 57678 & 0 \\
2 & 3 & september 20, 1998 & espn 5:15 pm mt & philadelphia eagles & w 17-3 & 39782 & 0 \\
3 & 4 & september 27, 1998 & fox 10:00 am mt & at st. louis rams & w 20-17 & 55832 & 0 \\
4 & 5 & october 4, 1998 & cbs 1:05 pm mt & oakland raiders & l 23-20 & 53,24 & 0 \\
5 & 6 & october 11, 1998 & fox 1:05 pm mt & chicago bears & w 20-7 & 50495 & 0 \\
6 & 7 & october 18, 1998 & fox 10:00 am mt & at new york giants & l 34-7 & 70456 & 0 \\
7 & 8 & none & none & none & none & none & 1 \\
8 & 9 & november 1, 1998 & fox 11:00 am mt & at detroit lions & w 17-15 & 66087 & 0 \\
9 & 10 & november 8, 1998 & fox 2:15 pm mt & washington redskins & w 29-27 & 45,95 & 0 \\
10 & 11 & november 15, 1998 & fox 2:15 pm mt & dallas cowboys & l 35-28 & 71,67 & 0 \\
11 & 12 & november 22, 1998 & fox 11:00 am mt & at washington redskins & w 45-42 & 63435 & 0 \\
12 & 13 & november 29, 1998 & fox 11:00 am mt & at kansas city chiefs & l 34-24 & 69613 & 0 \\
13 & 14 & december 6, 1998 & fox 2:15 pm mt & new york giants & l 23-19 & 46128 & 0 \\
14 & 15 & december 13, 1998 & fox 11:00 am mt & at philadelphia eagles & w 20-17 & 62176 & 0 \\
15 & 16 & december 20, 1998 & fox 2:05 pm mt & new orleans saints & w 19-17 & 51617 & 0 \\
16 & 17 & december 27, 1998 & cbs 2:05 pm mt & san diego chargers & w 16-13 & 71,67 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& result \\
\midrule
0 & l 38-10 \\
\bottomrule
\end{tabular}
| select result where week = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>tv time</th>
<th>opponent</th>
<th>result</th>
<th>attendance</th>
<th>bye</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>september 6, 1998</td>
<td>fox 1:05 pm mt</td>
<td>at dallas cowboys</td>
<td>l 38-10</td>
<td>63602</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>september 13, 1998</td>
<td>fox 1:15 pm mt</td>
<td>at seattle seahawks</td>
<td>l 33-14</td>
<td>57678</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>september 20, 1998</td>
<td>espn 5:15 pm mt</td>
<td>philadelphia eagles</td>
<td>w 17-3</td>
<td>39782</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>september 27, 1998</td>
<td>fox 10:00 am mt</td>
<td>at st. louis rams</td>
<td>w 20-17</td>
<td>55832</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>october 4, 1998</td>
<td>cbs 1:05 pm mt</td>
<td>oakland raiders</td>
<td>l 23-20</td>
<td>53,24</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>october 11, 1998</td>
<td>fox 1:05 pm mt</td>
<td>chicago bears</td>
<td>w 20-7</td>
<td>50495</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>october 18, 1998</td>
<td>fox 10:00 am mt</td>
<td>at new york giants</td>
<td>l 34-7</td>
<td>70456</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>november 1, 1998</td>
<td>fox 11:00 am mt</td>
<td>at detroit lions</td>
<td>w 17-15</td>
<td>66087</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>november 8, 1998</td>
<td>fox 2:15 pm mt</td>
<td>washington redskins</td>
<td>w 29-27</td>
<td>45,95</td>
<td>0</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>november 15, 1998</td>
<td>fox 2:15 pm mt</td>
<td>dallas cowboys</td>
<td>l 35-28</td>
<td>71,67</td>
<td>0</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>november 22, 1998</td>
<td>fox 11:00 am mt</td>
<td>at washington redskins</td>
<td>w 45-42</td>
<td>63435</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>november 29, 1998</td>
<td>fox 11:00 am mt</td>
<td>at kansas city chiefs</td>
<td>l 34-24</td>
<td>69613</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>december 6, 1998</td>
<td>fox 2:15 pm mt</td>
<td>new york giants</td>
<td>l 23-19</td>
<td>46128</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>december 13, 1998</td>
<td>fox 11:00 am mt</td>
<td>at philadelphia eagles</td>
<td>w 20-17</td>
<td>62176</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>december 20, 1998</td>
<td>fox 2:05 pm mt</td>
<td>new orleans saints</td>
<td>w 19-17</td>
<td>51617</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>december 27, 1998</td>
<td>cbs 2:05 pm mt</td>
<td>san diego chargers</td>
<td>w 16-13</td>
<td>71,67</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>l 38-10</td>
</tr>
</tbody>
</table> | select result where week = 1 <table_name> : table | | week | date | tv time | opponent | result | attendance | bye |
|---:|-------:|:-------------------|:----------------|:-----------------------|:---------|:-------------|------:|
| 0 | 1 | september 6, 1998 | fox 1:05 pm mt | at dallas cowboys | l 38-10 | 63602 | 0 |
| 1 | 2 | september 13, 1998 | fox 1:15 pm mt | at seattle seahawks | l 33-14 | 57678 | 0 |
| 2 | 3 | september 20, 1998 | espn 5:15 pm mt | philadelphia eagles | w 17-3 | 39782 | 0 |
| 3 | 4 | september 27, 1998 | fox 10:00 am mt | at st. louis rams | w 20-17 | 55832 | 0 |
| 4 | 5 | october 4, 1998 | cbs 1:05 pm mt | oakland raiders | l 23-20 | 53,24 | 0 |
| 5 | 6 | october 11, 1998 | fox 1:05 pm mt | chicago bears | w 20-7 | 50495 | 0 |
| 6 | 7 | october 18, 1998 | fox 10:00 am mt | at new york giants | l 34-7 | 70456 | 0 |
| 7 | 8 | none | none | none | none | none | 1 |
| 8 | 9 | november 1, 1998 | fox 11:00 am mt | at detroit lions | w 17-15 | 66087 | 0 |
| 9 | 10 | november 8, 1998 | fox 2:15 pm mt | washington redskins | w 29-27 | 45,95 | 0 |
| 10 | 11 | november 15, 1998 | fox 2:15 pm mt | dallas cowboys | l 35-28 | 71,67 | 0 |
| 11 | 12 | november 22, 1998 | fox 11:00 am mt | at washington redskins | w 45-42 | 63435 | 0 |
| 12 | 13 | november 29, 1998 | fox 11:00 am mt | at kansas city chiefs | l 34-24 | 69613 | 0 |
| 13 | 14 | december 6, 1998 | fox 2:15 pm mt | new york giants | l 23-19 | 46128 | 0 |
| 14 | 15 | december 13, 1998 | fox 11:00 am mt | at philadelphia eagles | w 20-17 | 62176 | 0 |
| 15 | 16 | december 20, 1998 | fox 2:05 pm mt | new orleans saints | w 19-17 | 51617 | 0 |
| 16 | 17 | december 27, 1998 | cbs 2:05 pm mt | san diego chargers | w 16-13 | 71,67 | 0 | | | | result |
|---:|:---------|
| 0 | l 38-10 | | [
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select venue where # = 1 col : # | date | venue | opponent | score | result | competition row 1 : 1 | 2000-03-29 00:00:00 | vasil levski national stadium, sofia | belarus | 1-0 | 4-1 | friendly row 2 : 2 | 2000-10-07 00:00:00 | georgi asparuhov stadium, sofia | malta | 3-0 | 3-0 | 2002 world cup qualifier row 3 : 3 | 2003-03-27 00:00:00 | stadion mladost, krusevac | serbia and montenegro | 2-1 | 2-1 | friendly row 4 : 4 | 2003-06-07 00:00:00 | vasil levski national stadium, sofia | belgium | 2-2 | 2-2 | euro 2004 qualifier row 5 : 5 | 2005-11-12 00:00:00 | vasil levski national stadium, sofia | georgia | 5-0 | 6-2 | friendly row 6 : 6 | 2005-11-12 00:00:00 | vasil levski national stadium, sofia | georgia | 6-2 | 6-2 | friendly row 7 : 7 | 2006-05-09 00:00:00 | nagai stadium, osaka | japan | 1-0 | 2-1 | 2006 kirin cup | col : venue row 1 : vasil levski national stadium, sofia | select venue where # = 1 <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 2000-03-29 00:00:00 & vasil levski national stadium, sofia & belarus & 1-0 & 4-1 & friendly \\
1 & 2 & 2000-10-07 00:00:00 & georgi asparuhov stadium, sofia & malta & 3-0 & 3-0 & 2002 world cup qualifier \\
2 & 3 & 2003-03-27 00:00:00 & stadion mladost, krusevac & serbia and montenegro & 2-1 & 2-1 & friendly \\
3 & 4 & 2003-06-07 00:00:00 & vasil levski national stadium, sofia & belgium & 2-2 & 2-2 & euro 2004 qualifier \\
4 & 5 & 2005-11-12 00:00:00 & vasil levski national stadium, sofia & georgia & 5-0 & 6-2 & friendly \\
5 & 6 & 2005-11-12 00:00:00 & vasil levski national stadium, sofia & georgia & 6-2 & 6-2 & friendly \\
6 & 7 & 2006-05-09 00:00:00 & nagai stadium, osaka & japan & 1-0 & 2-1 & 2006 kirin cup \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& venue \\
\midrule
0 & vasil levski national stadium, sofia \\
\bottomrule
\end{tabular}
| select venue where # = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2000-03-29 00:00:00</td>
<td>vasil levski national stadium, sofia</td>
<td>belarus</td>
<td>1-0</td>
<td>4-1</td>
<td>friendly</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2000-10-07 00:00:00</td>
<td>georgi asparuhov stadium, sofia</td>
<td>malta</td>
<td>3-0</td>
<td>3-0</td>
<td>2002 world cup qualifier</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2003-03-27 00:00:00</td>
<td>stadion mladost, krusevac</td>
<td>serbia and montenegro</td>
<td>2-1</td>
<td>2-1</td>
<td>friendly</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2003-06-07 00:00:00</td>
<td>vasil levski national stadium, sofia</td>
<td>belgium</td>
<td>2-2</td>
<td>2-2</td>
<td>euro 2004 qualifier</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2005-11-12 00:00:00</td>
<td>vasil levski national stadium, sofia</td>
<td>georgia</td>
<td>5-0</td>
<td>6-2</td>
<td>friendly</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2005-11-12 00:00:00</td>
<td>vasil levski national stadium, sofia</td>
<td>georgia</td>
<td>6-2</td>
<td>6-2</td>
<td>friendly</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2006-05-09 00:00:00</td>
<td>nagai stadium, osaka</td>
<td>japan</td>
<td>1-0</td>
<td>2-1</td>
<td>2006 kirin cup</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>venue</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>vasil levski national stadium, sofia</td>
</tr>
</tbody>
</table> | select venue where # = 1 <table_name> : table | | # | date | venue | opponent | score | result | competition |
|---:|----:|:--------------------|:-------------------------------------|:----------------------|:--------|:---------|:-------------------------|
| 0 | 1 | 2000-03-29 00:00:00 | vasil levski national stadium, sofia | belarus | 1-0 | 4-1 | friendly |
| 1 | 2 | 2000-10-07 00:00:00 | georgi asparuhov stadium, sofia | malta | 3-0 | 3-0 | 2002 world cup qualifier |
| 2 | 3 | 2003-03-27 00:00:00 | stadion mladost, krusevac | serbia and montenegro | 2-1 | 2-1 | friendly |
| 3 | 4 | 2003-06-07 00:00:00 | vasil levski national stadium, sofia | belgium | 2-2 | 2-2 | euro 2004 qualifier |
| 4 | 5 | 2005-11-12 00:00:00 | vasil levski national stadium, sofia | georgia | 5-0 | 6-2 | friendly |
| 5 | 6 | 2005-11-12 00:00:00 | vasil levski national stadium, sofia | georgia | 6-2 | 6-2 | friendly |
| 6 | 7 | 2006-05-09 00:00:00 | nagai stadium, osaka | japan | 1-0 | 2-1 | 2006 kirin cup | | | | venue |
|---:|:-------------------------------------|
| 0 | vasil levski national stadium, sofia | | [
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select description where creature (other planes) = 'djinni, lesser' col : creature (other planes) | page | other appearances | variants | description row 1 : aerial servant | 39 | rules cyclopedia (1991) | none | none row 2 : basilisk | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 3 : cockatrice | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 4 : djinni, lesser | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 5 : djinni, greater | 39 | rules cyclopedia (1991) | none | none row 6 : efreeti, lesser | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 7 : efreeti, greater | 39-40 | rules cyclopedia (1991) | none | none row 8 : elemental | 40 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional statistics and abilities/penalties applicable to native plane of existence row 9 : gorgon | 40 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 10 : helion | 40 | rules cyclopedia (1991) | none | none row 11 : horde | 41 | rules cyclopedia (1991) | none | none row 12 : hydrax | 41 | rules cyclopedia (1991) | none | none row 13 : invisible stalker | 41 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 14 : kryst | 42 | rules cyclopedia (1991) | none | none row 15 : medusa | 42 | d&d basic rules (1981), d&d basic rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 16 : plasm | 42 | rules cyclopedia (1991) | normal and giant | none row 17 : salamander | 42 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence row 18 : undine | 42 | rules cyclopedia (1991) | none | none | col : description row 1 : describes additional abilities/penalties applicable to native plane of existence | select description where creature (other planes) = 'djinni, lesser' <table_name> : table \begin{tabular}{llllll}
\toprule
& creature (other planes) & page & other appearances & variants & description \\
\midrule
0 & aerial servant & 39 & rules cyclopedia (1991) & none & none \\
1 & basilisk & 39 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
2 & cockatrice & 39 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
3 & djinni, lesser & 39 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
4 & djinni, greater & 39 & rules cyclopedia (1991) & none & none \\
5 & efreeti, lesser & 39 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
6 & efreeti, greater & 39-40 & rules cyclopedia (1991) & none & none \\
7 & elemental & 40 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional statistics and abilities/penalties applicable to native plane of existence \\
8 & gorgon & 40 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
9 & helion & 40 & rules cyclopedia (1991) & none & none \\
10 & horde & 41 & rules cyclopedia (1991) & none & none \\
11 & hydrax & 41 & rules cyclopedia (1991) & none & none \\
12 & invisible stalker & 41 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
13 & kryst & 42 & rules cyclopedia (1991) & none & none \\
14 & medusa & 42 & d&d basic rules (1981), d&d basic rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
15 & plasm & 42 & rules cyclopedia (1991) & normal and giant & none \\
16 & salamander & 42 & d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) & none & describes additional abilities/penalties applicable to native plane of existence \\
17 & undine & 42 & rules cyclopedia (1991) & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& description \\
\midrule
0 & describes additional abilities/penalties applicable to native plane of existence \\
\bottomrule
\end{tabular}
| select description where creature (other planes) = 'djinni, lesser' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>creature (other planes)</th>
<th>page</th>
<th>other appearances</th>
<th>variants</th>
<th>description</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>aerial servant</td>
<td>39</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>basilisk</td>
<td>39</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>2</th>
<td>cockatrice</td>
<td>39</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>3</th>
<td>djinni, lesser</td>
<td>39</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>4</th>
<td>djinni, greater</td>
<td>39</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>efreeti, lesser</td>
<td>39</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>6</th>
<td>efreeti, greater</td>
<td>39-40</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>elemental</td>
<td>40</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional statistics and abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>8</th>
<td>gorgon</td>
<td>40</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>9</th>
<td>helion</td>
<td>40</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>horde</td>
<td>41</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>hydrax</td>
<td>41</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>invisible stalker</td>
<td>41</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>13</th>
<td>kryst</td>
<td>42</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>medusa</td>
<td>42</td>
<td>d&d basic rules (1981), d&d basic rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>15</th>
<td>plasm</td>
<td>42</td>
<td>rules cyclopedia (1991)</td>
<td>normal and giant</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>salamander</td>
<td>42</td>
<td>d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991)</td>
<td>none</td>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
<tr>
<th>17</th>
<td>undine</td>
<td>42</td>
<td>rules cyclopedia (1991)</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>description</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>describes additional abilities/penalties applicable to native plane of existence</td>
</tr>
</tbody>
</table> | select description where creature (other planes) = 'djinni, lesser' <table_name> : table | | creature (other planes) | page | other appearances | variants | description |
|---:|:--------------------------|:-------|:--------------------------------------------------------------------------|:-----------------|:------------------------------------------------------------------------------------------------|
| 0 | aerial servant | 39 | rules cyclopedia (1991) | none | none |
| 1 | basilisk | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 2 | cockatrice | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 3 | djinni, lesser | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 4 | djinni, greater | 39 | rules cyclopedia (1991) | none | none |
| 5 | efreeti, lesser | 39 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 6 | efreeti, greater | 39-40 | rules cyclopedia (1991) | none | none |
| 7 | elemental | 40 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional statistics and abilities/penalties applicable to native plane of existence |
| 8 | gorgon | 40 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 9 | helion | 40 | rules cyclopedia (1991) | none | none |
| 10 | horde | 41 | rules cyclopedia (1991) | none | none |
| 11 | hydrax | 41 | rules cyclopedia (1991) | none | none |
| 12 | invisible stalker | 41 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 13 | kryst | 42 | rules cyclopedia (1991) | none | none |
| 14 | medusa | 42 | d&d basic rules (1981), d&d basic rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 15 | plasm | 42 | rules cyclopedia (1991) | normal and giant | none |
| 16 | salamander | 42 | d&d expert rules (1981), d&d expert rules (1983), rules cyclopedia (1991) | none | describes additional abilities/penalties applicable to native plane of existence |
| 17 | undine | 42 | rules cyclopedia (1991) | none | none | | | | description |
|---:|:---------------------------------------------------------------------------------|
| 0 | describes additional abilities/penalties applicable to native plane of existence | | [
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select date - date where opponent = '@ colorado mammoth' col : game | date | opponent | location | score | ot | attendance | record row 1 : 1 | 2005-01-08 00:00:00 | philadelphia wings | arrowhead pond | w 13-10 | none | 5,732 | 1-0 row 2 : 2 | 2005-01-22 00:00:00 | rochester knighthawks | arrowhead pond | l 11-15 | none | 4,053 | 1-1 row 3 : 3 | 2005-01-28 00:00:00 | @ minnesota swarm | xcel energy center | w 8-7 | none | 12,514 | 2-1 row 4 : 4 | 2005-01-29 00:00:00 | calgary roughnecks | arrowhead pond | l 12-13 | none | 4,159 | 2-2 row 5 : 5 | 2005-02-04 00:00:00 | @ arizona sting | jobing.com arena | l 10-17 | none | 6,313 | 2-3 row 6 : 6 | 2005-02-11 00:00:00 | @ buffalo bandits | hsbc arena | l 9-20 | none | 8,805 | 2-4 row 7 : 7 | 2005-02-18 00:00:00 | @ calgary roughnecks | pengrowth saddledome | l 15-18 | none | 9,550 | 2-5 row 8 : 8 | 2005-03-04 00:00:00 | colorado mammoth | arrowhead pond | l 12-13 | none | 4,500 | 2-6 row 9 : 9 | 2005-03-13 00:00:00 | toronto rock | arrowhead pond | l 6-14 | none | 4,499 | 2-7 row 10 : 10 | 2005-03-19 00:00:00 | @ colorado mammoth | pepsi center | l 8-16 | none | 16,270 | 2-8 row 11 : 11 | 2005-03-25 00:00:00 | @ san jose stealth | hp pavilion at san jose | l 14-15 | none | 5,022 | 2-9 row 12 : 12 | 2005-03-26 00:00:00 | san jose stealth | arrowhead pond | w 13-12 | ot | 4,834 | 3-9 row 13 : 13 | 2005-04-02 00:00:00 | @ colorado mammoth | pepsi center | w 10-6 | none | 18,326 | 4-9 row 14 : 14 | 2005-04-09 00:00:00 | minnesota swarm | arrowhead pond | l 11-12 | ot | 4,967 | 4-10 row 15 : 15 | 2005-04-15 00:00:00 | arizona sting | arrowhead pond | l 12-14 | none | 5,891 | 4-11 row 16 : 16 | 2005-04-16 00:00:00 | @ arizona sting | jobing.com arena | w 11-10 | none | 7,731 | 5-11 | col : "date - date" row 1 : date - date row 2 : date - date | select date - date where opponent = '@ colorado mammoth' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& game & date & opponent & location & score & ot & attendance & record \\
\midrule
0 & 1 & 2005-01-08 00:00:00 & philadelphia wings & arrowhead pond & w 13-10 & none & 5,732 & 1-0 \\
1 & 2 & 2005-01-22 00:00:00 & rochester knighthawks & arrowhead pond & l 11-15 & none & 4,053 & 1-1 \\
2 & 3 & 2005-01-28 00:00:00 & @ minnesota swarm & xcel energy center & w 8-7 & none & 12,514 & 2-1 \\
3 & 4 & 2005-01-29 00:00:00 & calgary roughnecks & arrowhead pond & l 12-13 & none & 4,159 & 2-2 \\
4 & 5 & 2005-02-04 00:00:00 & @ arizona sting & jobing.com arena & l 10-17 & none & 6,313 & 2-3 \\
5 & 6 & 2005-02-11 00:00:00 & @ buffalo bandits & hsbc arena & l 9-20 & none & 8,805 & 2-4 \\
6 & 7 & 2005-02-18 00:00:00 & @ calgary roughnecks & pengrowth saddledome & l 15-18 & none & 9,550 & 2-5 \\
7 & 8 & 2005-03-04 00:00:00 & colorado mammoth & arrowhead pond & l 12-13 & none & 4,500 & 2-6 \\
8 & 9 & 2005-03-13 00:00:00 & toronto rock & arrowhead pond & l 6-14 & none & 4,499 & 2-7 \\
9 & 10 & 2005-03-19 00:00:00 & @ colorado mammoth & pepsi center & l 8-16 & none & 16,270 & 2-8 \\
10 & 11 & 2005-03-25 00:00:00 & @ san jose stealth & hp pavilion at san jose & l 14-15 & none & 5,022 & 2-9 \\
11 & 12 & 2005-03-26 00:00:00 & san jose stealth & arrowhead pond & w 13-12 & ot & 4,834 & 3-9 \\
12 & 13 & 2005-04-02 00:00:00 & @ colorado mammoth & pepsi center & w 10-6 & none & 18,326 & 4-9 \\
13 & 14 & 2005-04-09 00:00:00 & minnesota swarm & arrowhead pond & l 11-12 & ot & 4,967 & 4-10 \\
14 & 15 & 2005-04-15 00:00:00 & arizona sting & arrowhead pond & l 12-14 & none & 5,891 & 4-11 \\
15 & 16 & 2005-04-16 00:00:00 & @ arizona sting & jobing.com arena & w 11-10 & none & 7,731 & 5-11 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "date - date" \\
\midrule
0 & date - date \\
1 & date - date \\
\bottomrule
\end{tabular}
| select date - date where opponent = '@ colorado mammoth' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>game</th>
<th>date</th>
<th>opponent</th>
<th>location</th>
<th>score</th>
<th>ot</th>
<th>attendance</th>
<th>record</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2005-01-08 00:00:00</td>
<td>philadelphia wings</td>
<td>arrowhead pond</td>
<td>w 13-10</td>
<td>none</td>
<td>5,732</td>
<td>1-0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2005-01-22 00:00:00</td>
<td>rochester knighthawks</td>
<td>arrowhead pond</td>
<td>l 11-15</td>
<td>none</td>
<td>4,053</td>
<td>1-1</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2005-01-28 00:00:00</td>
<td>@ minnesota swarm</td>
<td>xcel energy center</td>
<td>w 8-7</td>
<td>none</td>
<td>12,514</td>
<td>2-1</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2005-01-29 00:00:00</td>
<td>calgary roughnecks</td>
<td>arrowhead pond</td>
<td>l 12-13</td>
<td>none</td>
<td>4,159</td>
<td>2-2</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2005-02-04 00:00:00</td>
<td>@ arizona sting</td>
<td>jobing.com arena</td>
<td>l 10-17</td>
<td>none</td>
<td>6,313</td>
<td>2-3</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2005-02-11 00:00:00</td>
<td>@ buffalo bandits</td>
<td>hsbc arena</td>
<td>l 9-20</td>
<td>none</td>
<td>8,805</td>
<td>2-4</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2005-02-18 00:00:00</td>
<td>@ calgary roughnecks</td>
<td>pengrowth saddledome</td>
<td>l 15-18</td>
<td>none</td>
<td>9,550</td>
<td>2-5</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2005-03-04 00:00:00</td>
<td>colorado mammoth</td>
<td>arrowhead pond</td>
<td>l 12-13</td>
<td>none</td>
<td>4,500</td>
<td>2-6</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2005-03-13 00:00:00</td>
<td>toronto rock</td>
<td>arrowhead pond</td>
<td>l 6-14</td>
<td>none</td>
<td>4,499</td>
<td>2-7</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2005-03-19 00:00:00</td>
<td>@ colorado mammoth</td>
<td>pepsi center</td>
<td>l 8-16</td>
<td>none</td>
<td>16,270</td>
<td>2-8</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2005-03-25 00:00:00</td>
<td>@ san jose stealth</td>
<td>hp pavilion at san jose</td>
<td>l 14-15</td>
<td>none</td>
<td>5,022</td>
<td>2-9</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>2005-03-26 00:00:00</td>
<td>san jose stealth</td>
<td>arrowhead pond</td>
<td>w 13-12</td>
<td>ot</td>
<td>4,834</td>
<td>3-9</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>2005-04-02 00:00:00</td>
<td>@ colorado mammoth</td>
<td>pepsi center</td>
<td>w 10-6</td>
<td>none</td>
<td>18,326</td>
<td>4-9</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>2005-04-09 00:00:00</td>
<td>minnesota swarm</td>
<td>arrowhead pond</td>
<td>l 11-12</td>
<td>ot</td>
<td>4,967</td>
<td>4-10</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>2005-04-15 00:00:00</td>
<td>arizona sting</td>
<td>arrowhead pond</td>
<td>l 12-14</td>
<td>none</td>
<td>5,891</td>
<td>4-11</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>2005-04-16 00:00:00</td>
<td>@ arizona sting</td>
<td>jobing.com arena</td>
<td>w 11-10</td>
<td>none</td>
<td>7,731</td>
<td>5-11</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"date - date"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>date - date</td>
</tr>
<tr>
<th>1</th>
<td>date - date</td>
</tr>
</tbody>
</table> | select date - date where opponent = '@ colorado mammoth' <table_name> : table | | game | date | opponent | location | score | ot | attendance | record |
|---:|-------:|:--------------------|:----------------------|:------------------------|:--------|:-----|:-------------|:---------|
| 0 | 1 | 2005-01-08 00:00:00 | philadelphia wings | arrowhead pond | w 13-10 | none | 5,732 | 1-0 |
| 1 | 2 | 2005-01-22 00:00:00 | rochester knighthawks | arrowhead pond | l 11-15 | none | 4,053 | 1-1 |
| 2 | 3 | 2005-01-28 00:00:00 | @ minnesota swarm | xcel energy center | w 8-7 | none | 12,514 | 2-1 |
| 3 | 4 | 2005-01-29 00:00:00 | calgary roughnecks | arrowhead pond | l 12-13 | none | 4,159 | 2-2 |
| 4 | 5 | 2005-02-04 00:00:00 | @ arizona sting | jobing.com arena | l 10-17 | none | 6,313 | 2-3 |
| 5 | 6 | 2005-02-11 00:00:00 | @ buffalo bandits | hsbc arena | l 9-20 | none | 8,805 | 2-4 |
| 6 | 7 | 2005-02-18 00:00:00 | @ calgary roughnecks | pengrowth saddledome | l 15-18 | none | 9,550 | 2-5 |
| 7 | 8 | 2005-03-04 00:00:00 | colorado mammoth | arrowhead pond | l 12-13 | none | 4,500 | 2-6 |
| 8 | 9 | 2005-03-13 00:00:00 | toronto rock | arrowhead pond | l 6-14 | none | 4,499 | 2-7 |
| 9 | 10 | 2005-03-19 00:00:00 | @ colorado mammoth | pepsi center | l 8-16 | none | 16,270 | 2-8 |
| 10 | 11 | 2005-03-25 00:00:00 | @ san jose stealth | hp pavilion at san jose | l 14-15 | none | 5,022 | 2-9 |
| 11 | 12 | 2005-03-26 00:00:00 | san jose stealth | arrowhead pond | w 13-12 | ot | 4,834 | 3-9 |
| 12 | 13 | 2005-04-02 00:00:00 | @ colorado mammoth | pepsi center | w 10-6 | none | 18,326 | 4-9 |
| 13 | 14 | 2005-04-09 00:00:00 | minnesota swarm | arrowhead pond | l 11-12 | ot | 4,967 | 4-10 |
| 14 | 15 | 2005-04-15 00:00:00 | arizona sting | arrowhead pond | l 12-14 | none | 5,891 | 4-11 |
| 15 | 16 | 2005-04-16 00:00:00 | @ arizona sting | jobing.com arena | w 11-10 | none | 7,731 | 5-11 | | | | "date - date" |
|---:|:----------------|
| 0 | date - date |
| 1 | date - date | | [
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