NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
When 7 april 2001 to 29 september 2001 was aired in japan 2 how many titles were there?
SELECT COUNT(title) FROM table_1714685_1 WHERE aired_in_japan_3 = "7 April 2001 to 29 September 2001"
CREATE TABLE table_1714685_1 (title VARCHAR, aired_in_japan_3 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 24300, 4433, 834, 536, 41, 21869, 584, 4280, 28027, 6, 3, 2378, 26, 834, 77, 834, 1191, 2837, 834, 519, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 489, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 21869, 61, 21680, 953, 834, 2517, 24300, 4433, 834, 536, 549, 17444, 427, 3, 2378, 26, 834, 77, 834, 1191, 2837, 834, 519, 3274, 96, 940, 1186, 4402, 12, 2838, 1600, 4402, 121, 1, -100, -100, -100,...
When galaxy angel aa was the title was the us release date?
SELECT us_release_date FROM table_1714685_1 WHERE title = "Galaxy Angel AA"
CREATE TABLE table_1714685_1 (us_release_date VARCHAR, title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 24300, 4433, 834, 536, 41, 302, 834, 21019, 834, 5522, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 24856, 11831, 3, 9, 9, 47, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 178, 834, 21019, 834, 5522, 21680, 953, 834, 2517, 24300, 4433, 834, 536, 549, 17444, 427, 2233, 3274, 96, 517, 138, 9, 226, 63, 5126, 3, 5498, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What comparable country has a national share of 1.08?
SELECT comparable_country FROM table_171666_1 WHERE national_share___percentage_ = "1.08"
CREATE TABLE table_171666_1 (comparable_country VARCHAR, national_share___percentage_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2938, 3539, 834, 536, 41, 287, 1893, 179, 834, 17529, 584, 4280, 28027, 6, 1157, 834, 12484, 834, 834, 834, 883, 3728, 545, 834, 584, 4280, 28027, 61, 3, 32105, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 13289, 834, 17529, 21680, 953, 834, 2517, 2938, 3539, 834, 536, 549, 17444, 427, 1157, 834, 12484, 834, 834, 834, 883, 3728, 545, 834, 3274, 96, 12734, 927, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the national share of the country whose area is 148064 km^2?
SELECT national_share___percentage_ FROM table_171666_1 WHERE area__km²_ = 148064
CREATE TABLE table_171666_1 (national_share___percentage_ VARCHAR, area__km²_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2938, 3539, 834, 536, 41, 16557, 834, 12484, 834, 834, 834, 883, 3728, 545, 834, 584, 4280, 28027, 6, 616, 834, 834, 5848, 357, 834, 584, 4280, 28027, 61, 3, 32105, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1157, 834, 12484, 834, 834, 834, 883, 3728, 545, 834, 21680, 953, 834, 2517, 2938, 3539, 834, 536, 549, 17444, 427, 616, 834, 834, 5848, 357, 834, 3274, 968, 2079, 4389, 1, -100, -100, -100, -100, -100, -100, -100, ...
What is the administrative division that has an area of 30 km^2?
SELECT administrative_division FROM table_171666_1 WHERE area__km²_ = 30
CREATE TABLE table_171666_1 (administrative_division VARCHAR, area__km²_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2938, 3539, 834, 536, 41, 9571, 1528, 834, 26, 23, 6610, 584, 4280, 28027, 6, 616, 834, 834, 5848, 357, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6601, 834, 26, 23, 6610, 21680, 953, 834, 2517, 2938, 3539, 834, 536, 549, 17444, 427, 616, 834, 834, 5848, 357, 834, 3274, 604, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the national share of Guizhou's administrative division?
SELECT national_share___percentage_ FROM table_171666_1 WHERE administrative_division = "Guizhou"
CREATE TABLE table_171666_1 (national_share___percentage_ VARCHAR, administrative_division VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2938, 3539, 834, 536, 41, 16557, 834, 12484, 834, 834, 834, 883, 3728, 545, 834, 584, 4280, 28027, 6, 6601, 834, 26, 23, 6610, 584, 4280, 28027, 61, 3, 32105, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1157, 834, 12484, 834, 834, 834, 883, 3728, 545, 834, 21680, 953, 834, 2517, 2938, 3539, 834, 536, 549, 17444, 427, 6601, 834, 26, 23, 6610, 3274, 96, 9105, 23, 25303, 121, 1, -100, -100, -100, -100, -100, -100, -10...
What is the rank of the division with an area of 456800 sq mi?
SELECT rank FROM table_171666_1 WHERE area__sq_mi_ = 456800
CREATE TABLE table_171666_1 (rank VARCHAR, area__sq_mi_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2938, 3539, 834, 536, 41, 6254, 584, 4280, 28027, 6, 616, 834, 834, 7, 1824, 834, 51, 23, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 11003,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 11003, 21680, 953, 834, 2517, 2938, 3539, 834, 536, 549, 17444, 427, 616, 834, 834, 7, 1824, 834, 51, 23, 834, 3274, 314, 4834, 6192, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What's the change over previous year as a whole in the period in which the change over same quarter the previous year was up 2.8%?
SELECT change_over_previous_year_as_a_whole FROM table_171748_3 WHERE change_over_same_quarter_the_previous_year = "Up 2.8%"
CREATE TABLE table_171748_3 (change_over_previous_year_as_a_whole VARCHAR, change_over_same_quarter_the_previous_year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2517, 3707, 834, 519, 41, 13073, 834, 1890, 834, 2026, 19117, 834, 1201, 834, 9, 7, 834, 9, 834, 8903, 109, 584, 4280, 28027, 6, 483, 834, 1890, 834, 7, 265, 15, 83...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 483, 834, 1890, 834, 2026, 19117, 834, 1201, 834, 9, 7, 834, 9, 834, 8903, 109, 21680, 953, 834, 2517, 2517, 3707, 834, 519, 549, 17444, 427, 483, 834, 1890, 834, 7, 265, 15, 834, 19973, 834, 532, 834, 2026, 19117...
When was the percentage of trains arriving within 5 minutes of scheduled time 89.6%?
SELECT period FROM table_171748_3 WHERE _percentage_trains_arriving_within_5_mins_of_scheduled_time_moving_annual_average__maa_ = "89.6%"
CREATE TABLE table_171748_3 (period VARCHAR, _percentage_trains_arriving_within_5_mins_of_scheduled_time_moving_annual_average__maa_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2517, 3707, 834, 519, 41, 4267, 32, 26, 584, 4280, 28027, 6, 3, 834, 883, 3728, 545, 834, 9719, 7, 834, 10269, 3745, 834, 4065, 77, 834, 755, 834, 1109, 7, 834, 858...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 1059, 21680, 953, 834, 2517, 2517, 3707, 834, 519, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 9719, 7, 834, 10269, 3745, 834, 4065, 77, 834, 755, 834, 1109, 7, 834, 858, 834, 3992, 1259, 1361, 834, 715, 834, 71...
What's the change over same quarter the previous year in the period when the 89.6% of the trains arrive within 5 minutes of scheduled time (over three months)?
SELECT change_over_same_quarter_the_previous_year FROM table_171748_3 WHERE _percentage_trains_arriving_within_5_mins_of_scheduled_time__over_three_months_ = "89.6%"
CREATE TABLE table_171748_3 (change_over_same_quarter_the_previous_year VARCHAR, _percentage_trains_arriving_within_5_mins_of_scheduled_time__over_three_months_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2517, 3707, 834, 519, 41, 13073, 834, 1890, 834, 7, 265, 15, 834, 19973, 834, 532, 834, 2026, 19117, 834, 1201, 584, 4280, 28027, 6, 3, 834, 883, 3728, 545, 834, 9719...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 483, 834, 1890, 834, 7, 265, 15, 834, 19973, 834, 532, 834, 2026, 19117, 834, 1201, 21680, 953, 834, 2517, 2517, 3707, 834, 519, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 9719, 7, 834, 10269, 3745, 834, 4065, ...
how many shire in the land of area in km 2 is 27.17
SELECT COUNT(shire) FROM table_17251764_1 WHERE area_in_km_2 = "27.17"
CREATE TABLE table_17251764_1 (shire VARCHAR, area_in_km_2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 1828, 2517, 4389, 834, 536, 41, 5718, 584, 4280, 28027, 6, 616, 834, 77, 834, 5848, 834, 357, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 149, 186, 3, 5718, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 5718, 61, 21680, 953, 834, 2517, 1828, 2517, 4389, 834, 536, 549, 17444, 427, 616, 834, 77, 834, 5848, 834, 357, 3274, 96, 2555, 5, 2517, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many open era titles does the team with their first title in 1925 have?
SELECT open_era FROM table_1725413_5 WHERE first_title = 1925
CREATE TABLE table_1725413_5 (open_era VARCHAR, first_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 5062, 2368, 834, 755, 41, 8751, 834, 1498, 584, 4280, 28027, 6, 166, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 539, 3, 1498, 8342, 405...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 539, 834, 1498, 21680, 953, 834, 27156, 5062, 2368, 834, 755, 549, 17444, 427, 166, 834, 21869, 3274, 28484, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the replacced by with ascoli
SELECT replaced_by FROM table_17275810_7 WHERE team = "Ascoli"
CREATE TABLE table_17275810_7 (replaced_by VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 41, 60, 4687, 26, 834, 969, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 3852, 9700, 565, 26, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5821, 834, 969, 21680, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 549, 17444, 427, 372, 3274, 96, 188, 7, 9044, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the team for mario somma
SELECT team FROM table_17275810_7 WHERE replaced_by = "Mario Somma"
CREATE TABLE table_17275810_7 (team VARCHAR, replaced_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 41, 11650, 584, 4280, 28027, 6, 5821, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 372, 21, 2774, 32, 78, 635, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 21680, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 549, 17444, 427, 5821, 834, 969, 3274, 96, 329, 14414, 264, 635, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the date of appointment for ascoli
SELECT date_of_appointment FROM table_17275810_7 WHERE team = "Ascoli"
CREATE TABLE table_17275810_7 (date_of_appointment VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 41, 5522, 834, 858, 834, 9, 102, 2700, 297, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 833, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 834, 858, 834, 9, 102, 2700, 297, 21680, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 549, 17444, 427, 372, 3274, 96, 188, 7, 9044, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the manner of departure for elvio selighini
SELECT manner_of_departure FROM table_17275810_7 WHERE replaced_by = "Elvio Selighini"
CREATE TABLE table_17275810_7 (manner_of_departure VARCHAR, replaced_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 41, 2434, 49, 834, 858, 834, 221, 2274, 1462, 584, 4280, 28027, 6, 5821, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3107, 834, 858, 834, 221, 2274, 1462, 21680, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 549, 17444, 427, 5821, 834, 969, 3274, 96, 10991, 2099, 32, 679, 2825, 2907, 23, 121, 1, -100, -100, -100, -100, -100, -100, -...
Name the date of vacancy for fabio brini
SELECT date_of_vacancy FROM table_17275810_7 WHERE replaced_by = "Fabio Brini"
CREATE TABLE table_17275810_7 (date_of_vacancy VARCHAR, replaced_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 41, 5522, 834, 858, 834, 29685, 584, 4280, 28027, 6, 5821, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 833, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 834, 858, 834, 29685, 21680, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 549, 17444, 427, 5821, 834, 969, 3274, 96, 17477, 23, 32, 7834, 29, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the outgoing manager for mantova
SELECT outgoing_manager FROM table_17275810_7 WHERE team = "Mantova"
CREATE TABLE table_17275810_7 (outgoing_manager VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 41, 670, 9545, 834, 24185, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 91, 9545, 2743, 21, 388, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 91, 9545, 834, 24185, 21680, 953, 834, 2517, 2555, 3449, 1714, 834, 940, 549, 17444, 427, 372, 3274, 96, 7296, 17, 6194, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the San Antonio's team score?
SELECT score FROM table_17288825_5 WHERE team = "San Antonio"
CREATE TABLE table_17288825_5 (score VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 10927, 1828, 834, 755, 41, 7, 9022, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1051, 12923, 31, 7, 372, 2604, 58, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 27156, 10927, 1828, 834, 755, 549, 17444, 427, 372, 3274, 96, 134, 152, 12923, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the score for game 66
SELECT score FROM table_17288845_9 WHERE game = 66
CREATE TABLE table_17288845_9 (score VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 10927, 2128, 834, 1298, 41, 7, 9022, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 2604, 21, 467, 3, 3539, 1, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 27156, 10927, 2128, 834, 1298, 549, 17444, 427, 467, 3274, 3, 3539, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the record for score of l 77–80 (ot)
SELECT record FROM table_17288845_9 WHERE score = "L 77–80 (OT)"
CREATE TABLE table_17288845_9 (record VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 10927, 2128, 834, 1298, 41, 60, 7621, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1368, 21, 2604, 13, 3, 40, 3, 4013, 10...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 27156, 10927, 2128, 834, 1298, 549, 17444, 427, 2604, 3274, 96, 434, 3, 4013, 104, 2079, 41, 6951, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the high assists for houston
SELECT high_assists FROM table_17288845_9 WHERE team = "Houston"
CREATE TABLE table_17288845_9 (high_assists VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 10927, 2128, 834, 1298, 41, 6739, 834, 6500, 7, 17, 7, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 306, 13041, 21, 3, 949...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 306, 834, 6500, 7, 17, 7, 21680, 953, 834, 27156, 10927, 2128, 834, 1298, 549, 17444, 427, 372, 3274, 96, 4489, 76, 4411, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the score for game 63
SELECT score FROM table_17288845_9 WHERE game = 63
CREATE TABLE table_17288845_9 (score VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 10927, 2128, 834, 1298, 41, 7, 9022, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 2604, 21, 467, 3, 3891, 1, 0, 0, 0, 0,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 27156, 10927, 2128, 834, 1298, 549, 17444, 427, 467, 3274, 3, 3891, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many poles did David Price Racing win?
SELECT MAX(poles) FROM table_17289224_1 WHERE team_name = "David Price Racing"
CREATE TABLE table_17289224_1 (poles INTEGER, team_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 3914, 24622, 834, 536, 41, 14332, 7, 3, 21342, 17966, 6, 372, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 11148, 7, 410, 1955, 5312, 1604...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 14332, 7, 61, 21680, 953, 834, 27156, 3914, 24622, 834, 536, 549, 17444, 427, 372, 834, 4350, 3274, 96, 308, 9, 6961, 5312, 16046, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who started in 2008 with 0 points?
SELECT team_name FROM table_17289224_1 WHERE season = "2008" AND points = 0
CREATE TABLE table_17289224_1 (team_name VARCHAR, season VARCHAR, points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 3914, 24622, 834, 536, 41, 11650, 834, 4350, 584, 4280, 28027, 6, 774, 584, 4280, 28027, 6, 979, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 708, 16, 26...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 834, 4350, 21680, 953, 834, 27156, 3914, 24622, 834, 536, 549, 17444, 427, 774, 3274, 96, 16128, 121, 3430, 979, 3274, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which team started 2010?
SELECT team_name FROM table_17289224_1 WHERE season = "2010"
CREATE TABLE table_17289224_1 (team_name VARCHAR, season VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 3914, 24622, 834, 536, 41, 11650, 834, 4350, 584, 4280, 28027, 6, 774, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 372, 708, 2735, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 372, 834, 4350, 21680, 953, 834, 27156, 3914, 24622, 834, 536, 549, 17444, 427, 774, 3274, 96, 14926, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the max points you when when you place 9th?
SELECT MAX(points) FROM table_17289224_1 WHERE final_placing = "9th"
CREATE TABLE table_17289224_1 (points INTEGER, final_placing VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 3914, 24622, 834, 536, 41, 2700, 7, 3, 21342, 17966, 6, 804, 834, 6042, 75, 53, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 9858, 979, 25, 116, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2700, 7, 61, 21680, 953, 834, 27156, 3914, 24622, 834, 536, 549, 17444, 427, 804, 834, 6042, 75, 53, 3274, 96, 1298, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
When the wins is 3, what is the maximum races?
SELECT MAX(races) FROM table_17289224_1 WHERE wins = 3
CREATE TABLE table_17289224_1 (races INTEGER, wins VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27156, 3914, 24622, 834, 536, 41, 12614, 7, 3, 21342, 17966, 6, 9204, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 8, 9204, 19, 6180, 125, 19, 8, 2411, 10879, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 12614, 7, 61, 21680, 953, 834, 27156, 3914, 24622, 834, 536, 549, 17444, 427, 9204, 3274, 220, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the number of former wnba team for 2
SELECT COUNT(former_wnba_team) FROM table_17308269_2 WHERE pick = 2
CREATE TABLE table_17308269_2 (former_wnba_team VARCHAR, pick VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 1458, 4613, 3951, 834, 357, 41, 2032, 49, 834, 210, 29, 115, 9, 834, 11650, 584, 4280, 28027, 6, 1432, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 2032, 49, 834, 210, 29, 115, 9, 834, 11650, 61, 21680, 953, 834, 2517, 1458, 4613, 3951, 834, 357, 549, 17444, 427, 1432, 3274, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the player for mercer
SELECT player FROM table_17308269_2 WHERE college_country_team = "Mercer"
CREATE TABLE table_17308269_2 (player VARCHAR, college_country_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 1458, 4613, 3951, 834, 357, 41, 20846, 584, 4280, 28027, 6, 1900, 834, 17529, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1959, 21, 3, 935...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 2517, 1458, 4613, 3951, 834, 357, 549, 17444, 427, 1900, 834, 17529, 834, 11650, 3274, 96, 18180, 49, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the record of wins and losses for Denver's ball club?
SELECT record FROM table_17311759_5 WHERE team = "Denver"
CREATE TABLE table_17311759_5 (record VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3341, 2517, 3390, 834, 755, 41, 60, 7621, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1368, 13, 9204, 11, 8467, 21, 121...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 2517, 3341, 2517, 3390, 834, 755, 549, 17444, 427, 372, 3274, 96, 308, 35, 624, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the location and the crowd attendance on December 9?
SELECT location_attendance FROM table_17311759_5 WHERE date = "December 9"
CREATE TABLE table_17311759_5 (location_attendance VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3341, 2517, 3390, 834, 755, 41, 14836, 834, 15116, 663, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1128, 11, 8, 4374, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 834, 15116, 663, 21680, 953, 834, 2517, 3341, 2517, 3390, 834, 755, 549, 17444, 427, 833, 3274, 96, 29835, 668, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who scored the most rebounds in game 64?
SELECT high_rebounds FROM table_17311759_8 WHERE game = 64
CREATE TABLE table_17311759_8 (high_rebounds VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3341, 2517, 3390, 834, 927, 41, 6739, 834, 23768, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 5799, 8, 167, 3, 23768, 16, 467, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 306, 834, 23768, 21680, 953, 834, 2517, 3341, 2517, 3390, 834, 927, 549, 17444, 427, 467, 3274, 6687, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many numbers were recorded for high points when the team played against Oklahoma City?
SELECT COUNT(high_points) FROM table_17311783_6 WHERE team = "Oklahoma City"
CREATE TABLE table_17311783_6 (high_points VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3341, 2517, 4591, 834, 948, 41, 6739, 834, 2700, 7, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 2302, 130, 4381, 21, 306, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 6739, 834, 2700, 7, 61, 21680, 953, 834, 2517, 3341, 2517, 4591, 834, 948, 549, 17444, 427, 372, 3274, 96, 667, 8142, 10207, 9, 896, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the high assists for yi jianlian , brook lopez (7)
SELECT high_assists FROM table_17322817_6 WHERE high_rebounds = "Yi Jianlian , Brook Lopez (7)"
CREATE TABLE table_17322817_6 (high_assists VARCHAR, high_rebounds VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2668, 2577, 2517, 834, 948, 41, 6739, 834, 6500, 7, 17, 7, 584, 4280, 28027, 6, 306, 834, 23768, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 306, 13...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0...
[ 3, 23143, 14196, 306, 834, 6500, 7, 17, 7, 21680, 953, 834, 2517, 2668, 2577, 2517, 834, 948, 549, 17444, 427, 306, 834, 23768, 3274, 96, 476, 23, 7802, 152, 9928, 3, 6, 9083, 25692, 3, 24358, 121, 1, -100, -100, -100, -100, -100,...
Name the location attendance for 20
SELECT location_attendance FROM table_17322817_6 WHERE game = 20
CREATE TABLE table_17322817_6 (location_attendance VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2668, 2577, 2517, 834, 948, 41, 14836, 834, 15116, 663, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1128, 11364, 21, 460, 1,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 834, 15116, 663, 21680, 953, 834, 2517, 2668, 2577, 2517, 834, 948, 549, 17444, 427, 467, 3274, 460, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the date for l 92–103 (ot)
SELECT date FROM table_17322817_6 WHERE score = "L 92–103 (OT)"
CREATE TABLE table_17322817_6 (date VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2668, 2577, 2517, 834, 948, 41, 5522, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 833, 21, 3, 40, 3, 4508, 104, 17864, 41...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 2517, 2668, 2577, 2517, 834, 948, 549, 17444, 427, 2604, 3274, 96, 434, 3, 4508, 104, 17864, 41, 6951, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the record when the team played Boston?
SELECT record FROM table_17325580_10 WHERE team = "Boston"
CREATE TABLE table_17325580_10 (record VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2668, 3769, 2079, 834, 1714, 41, 60, 7621, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1368, 116, 8, 372, 1944, 5053, 5...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1368, 21680, 953, 834, 2517, 2668, 3769, 2079, 834, 1714, 549, 17444, 427, 372, 3274, 96, 279, 32, 4411, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What number game had a high assist of lebron james (7) and high point of lebron james (21)?
SELECT MAX(game) FROM table_17325580_10 WHERE high_assists = "LeBron James (7)" AND high_points = "LeBron James (21)"
CREATE TABLE table_17325580_10 (game INTEGER, high_assists VARCHAR, high_points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2668, 3769, 2079, 834, 1714, 41, 7261, 3, 21342, 17966, 6, 306, 834, 6500, 7, 17, 7, 584, 4280, 28027, 6, 306, 834, 2700, 7, 584, 4280, 28027, 61, 3, 32105, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4800, 4, 599, 7261, 61, 21680, 953, 834, 2517, 2668, 3769, 2079, 834, 1714, 549, 17444, 427, 306, 834, 6500, 7, 17, 7, 3274, 96, 2796, 22780, 29, 2549, 3, 24358, 121, 3430, 306, 834, 2700, 7, 3274, 96, 2796, 22780...
What is the lowest game number when the team is Houston?
SELECT MIN(game) FROM table_17326036_7 WHERE team = "Houston"
CREATE TABLE table_17326036_7 (game INTEGER, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2668, 3328, 3420, 834, 940, 41, 7261, 3, 21342, 17966, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7402, 467, 381, 116, 8, 372, 19, 8018,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 7261, 61, 21680, 953, 834, 2517, 2668, 3328, 3420, 834, 940, 549, 17444, 427, 372, 3274, 96, 4489, 76, 4411, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the date when Troy Murphy (15), got high rebounds?
SELECT date FROM table_17326036_7 WHERE high_rebounds = "Troy Murphy (15)"
CREATE TABLE table_17326036_7 (date VARCHAR, high_rebounds VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2668, 3328, 3420, 834, 940, 41, 5522, 584, 4280, 28027, 6, 306, 834, 23768, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 833, 116, 21854, 16212, 172...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 21680, 953, 834, 2517, 2668, 3328, 3420, 834, 940, 549, 17444, 427, 306, 834, 23768, 3274, 96, 382, 8170, 16212, 17251, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who did the High Assists when Kevin Durant (28) took the High Points?
SELECT high_assists FROM table_17355628_7 WHERE high_points = "Kevin Durant (28)"
CREATE TABLE table_17355628_7 (high_assists VARCHAR, high_points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 4834, 2577, 834, 940, 41, 6739, 834, 6500, 7, 17, 7, 584, 4280, 28027, 6, 306, 834, 2700, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 410, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 306, 834, 6500, 7, 17, 7, 21680, 953, 834, 2517, 2469, 4834, 2577, 834, 940, 549, 17444, 427, 306, 834, 2700, 7, 3274, 96, 439, 15, 2494, 8633, 288, 4743, 13520, 121, 1, -100, -100, -100, -100, -100, -100, -100, -...
What is the score when the game took place on January 18?
SELECT score FROM table_17355628_7 WHERE date = "January 18"
CREATE TABLE table_17355628_7 (score VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 4834, 2577, 834, 940, 41, 7, 9022, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2604, 116, 8, 467, 808, 286, 30, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 2517, 2469, 4834, 2577, 834, 940, 549, 17444, 427, 833, 3274, 96, 30404, 507, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many games were played by team @ New Jersey?
SELECT COUNT(score) FROM table_17355628_7 WHERE team = "@ New Jersey"
CREATE TABLE table_17355628_7 (score VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 4834, 2577, 834, 940, 41, 7, 9022, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1031, 130, 1944, 57, 372, 3320, 368, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 7, 9022, 61, 21680, 953, 834, 2517, 2469, 4834, 2577, 834, 940, 549, 17444, 427, 372, 3274, 96, 1741, 368, 5092, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
how many times were high rebounds mehmet okur , paul millsap (6)
SELECT COUNT(score) FROM table_17355716_10 WHERE high_rebounds = "Mehmet Okur , Paul Millsap (6)"
CREATE TABLE table_17355716_10 (score VARCHAR, high_rebounds VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 3436, 2938, 834, 1714, 41, 7, 9022, 584, 4280, 28027, 6, 306, 834, 23768, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 149, 186, 648, 130, 306, 3, 23768, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 7, 9022, 61, 21680, 953, 834, 2517, 2469, 3436, 2938, 834, 1714, 549, 17444, 427, 306, 834, 23768, 3274, 96, 329, 15, 107, 3493, 8872, 450, 3, 6, 1838, 4185, 7, 9, 102, 3, 18669, 121, 1, -100, ...
what is the score of the match with high points carlos boozer (20)
SELECT score FROM table_17355716_10 WHERE high_points = "Carlos Boozer (20)"
CREATE TABLE table_17355716_10 (score VARCHAR, high_points VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 3436, 2938, 834, 1714, 41, 7, 9022, 584, 4280, 28027, 6, 306, 834, 2700, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 2604, 13, 8, 1588, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2604, 21680, 953, 834, 2517, 2469, 3436, 2938, 834, 1714, 549, 17444, 427, 306, 834, 2700, 7, 3274, 96, 6936, 2298, 1491, 32, 2558, 17543, 61, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the high rebounds stat on april 11
SELECT high_rebounds FROM table_17355716_10 WHERE date = "April 11"
CREATE TABLE table_17355716_10 (high_rebounds VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 3436, 2938, 834, 1714, 41, 6739, 834, 23768, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 306, 3, 23768, 3089, 30, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 306, 834, 23768, 21680, 953, 834, 2517, 2469, 3436, 2938, 834, 1714, 549, 17444, 427, 833, 3274, 96, 23323, 850, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who wrote season 10
SELECT written_by FROM table_17355743_1 WHERE season__number = 10
CREATE TABLE table_17355743_1 (written_by VARCHAR, season__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 3436, 4906, 834, 536, 41, 14973, 834, 969, 584, 4280, 28027, 6, 774, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 2832, 774, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1545, 834, 969, 21680, 953, 834, 2517, 2469, 3436, 4906, 834, 536, 549, 17444, 427, 774, 834, 834, 5525, 1152, 3274, 335, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name who directed the episode by joe sachs and david zabel
SELECT directed_by FROM table_17355743_1 WHERE written_by = "Joe Sachs and David Zabel"
CREATE TABLE table_17355743_1 (directed_by VARCHAR, written_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 3436, 4906, 834, 536, 41, 22955, 834, 969, 584, 4280, 28027, 6, 1545, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 113, 6640, 8, 5640, 57,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6640, 834, 969, 21680, 953, 834, 2517, 2469, 3436, 4906, 834, 536, 549, 17444, 427, 1545, 834, 969, 3274, 96, 683, 32, 15, 13547, 7, 11, 1955, 1027, 10333, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is every value for Points 2 when the value of won is 30?
SELECT points_2 FROM table_17359181_1 WHERE won = 30
CREATE TABLE table_17359181_1 (points_2 VARCHAR, won VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 4729, 4959, 834, 536, 41, 2700, 7, 834, 357, 584, 4280, 28027, 6, 751, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 334, 701, 21, 4564, 7, 204,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 979, 834, 357, 21680, 953, 834, 2517, 2469, 4729, 4959, 834, 536, 549, 17444, 427, 751, 3274, 604, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the lowest value of Points 2 when the goal average is 1.50?
SELECT MIN(points_2) FROM table_17359181_1 WHERE goal_average_1 = "1.50"
CREATE TABLE table_17359181_1 (points_2 INTEGER, goal_average_1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 4729, 4959, 834, 536, 41, 2700, 7, 834, 357, 3, 21342, 17966, 6, 1288, 834, 28951, 834, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 74...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 2700, 7, 834, 7318, 21680, 953, 834, 2517, 2469, 4729, 4959, 834, 536, 549, 17444, 427, 1288, 834, 28951, 834, 536, 3274, 96, 5411, 1752, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many values of goal average 1 occur when the value of goals against is 92?
SELECT COUNT(goal_average_1) FROM table_17359181_1 WHERE goals_against = 92
CREATE TABLE table_17359181_1 (goal_average_1 VARCHAR, goals_against VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 4729, 4959, 834, 536, 41, 839, 138, 834, 28951, 834, 536, 584, 4280, 28027, 6, 1766, 834, 9, 16720, 7, 17, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 839, 138, 834, 28951, 834, 6982, 21680, 953, 834, 2517, 2469, 4729, 4959, 834, 536, 549, 17444, 427, 1766, 834, 9, 16720, 7, 17, 3274, 3, 4508, 1, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the highest value for Points 2 when the goal average 1 is 0.65?
SELECT MAX(points_2) FROM table_17359181_1 WHERE goal_average_1 = "0.65"
CREATE TABLE table_17359181_1 (points_2 INTEGER, goal_average_1 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 2469, 4729, 4959, 834, 536, 41, 2700, 7, 834, 357, 3, 21342, 17966, 6, 1288, 834, 28951, 834, 536, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 20...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2700, 7, 834, 7318, 21680, 953, 834, 2517, 2469, 4729, 4959, 834, 536, 549, 17444, 427, 1288, 834, 28951, 834, 536, 3274, 96, 22787, 17395, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many dates had a final score of w 118-112?
SELECT COUNT(date) FROM table_17382360_9 WHERE score = "W 118-112"
CREATE TABLE table_17382360_9 (date VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3747, 357, 19208, 834, 1298, 41, 5522, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 5128, 141, 3, 9, 804, 2604, 13, 3, 21...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 5522, 61, 21680, 953, 834, 2517, 3747, 357, 19208, 834, 1298, 549, 17444, 427, 2604, 3274, 96, 518, 3, 20056, 9169, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What was the location and attendance at the game where the final score is w 118-112?
SELECT location_attendance FROM table_17382360_9 WHERE score = "W 118-112"
CREATE TABLE table_17382360_9 (location_attendance VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3747, 357, 19208, 834, 1298, 41, 14836, 834, 15116, 663, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1128, 11, 11364, 44...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1128, 834, 15116, 663, 21680, 953, 834, 2517, 3747, 357, 19208, 834, 1298, 549, 17444, 427, 2604, 3274, 96, 518, 3, 20056, 9169, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Who had the high rebounds in the game with a final score of w 140-108?
SELECT high_rebounds FROM table_17382360_9 WHERE score = "W 140-108"
CREATE TABLE table_17382360_9 (high_rebounds VARCHAR, score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3747, 357, 19208, 834, 1298, 41, 6739, 834, 23768, 584, 4280, 28027, 6, 2604, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 141, 8, 306, 3, 23768, 16, 8, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 306, 834, 23768, 21680, 953, 834, 2517, 3747, 357, 19208, 834, 1298, 549, 17444, 427, 2604, 3274, 96, 518, 11397, 18, 16169, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
in what date was aired the first broacast of the episode 1x02
SELECT first_broadcast FROM table_17413485_1 WHERE episode = "1x02"
CREATE TABLE table_17413485_1 (first_broadcast VARCHAR, episode VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 23747, 4433, 834, 536, 41, 14672, 834, 115, 8635, 5254, 584, 4280, 28027, 6, 5640, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 16, 125, 833, 47, 3, 2378, 26, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 166, 834, 115, 8635, 5254, 21680, 953, 834, 27693, 23747, 4433, 834, 536, 549, 17444, 427, 5640, 3274, 96, 536, 226, 4305, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
what is the name of the jeremy guest for the episode 1x01
SELECT jeremys_guest FROM table_17413485_1 WHERE episode = "1x01"
CREATE TABLE table_17413485_1 (jeremys_guest VARCHAR, episode VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 23747, 4433, 834, 536, 41, 12488, 15, 2258, 7, 834, 15991, 17, 584, 4280, 28027, 6, 5640, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 564, 13, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 528, 60, 2258, 7, 834, 15991, 17, 21680, 953, 834, 27693, 23747, 4433, 834, 536, 549, 17444, 427, 5640, 3274, 96, 536, 226, 4542, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the number of the episode where maria mcerlane where gramer guest
SELECT episode FROM table_17413485_1 WHERE graemes_guest = "Maria McErlane"
CREATE TABLE table_17413485_1 (episode VARCHAR, graemes_guest VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 23747, 4433, 834, 536, 41, 15, 102, 159, 32, 221, 584, 4280, 28027, 6, 3, 3484, 15, 2687, 834, 15991, 17, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 5640, 21680, 953, 834, 27693, 23747, 4433, 834, 536, 549, 17444, 427, 3, 3484, 15, 2687, 834, 15991, 17, 3274, 96, 329, 6286, 3038, 10575, 8102, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
what is the name of the graemest guest of episode 1x03
SELECT graemes_guest FROM table_17413485_1 WHERE episode = "1x03"
CREATE TABLE table_17413485_1 (graemes_guest VARCHAR, episode VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 23747, 4433, 834, 536, 41, 3484, 15, 2687, 834, 15991, 17, 584, 4280, 28027, 6, 5640, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 564, 13, 8, 3,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 3484, 15, 2687, 834, 15991, 17, 21680, 953, 834, 27693, 23747, 4433, 834, 536, 549, 17444, 427, 5640, 3274, 96, 536, 226, 4928, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the largest city where the population is 6620100?
SELECT largest_city FROM table_17416221_1 WHERE population__2013_ = 6620100
CREATE TABLE table_17416221_1 (largest_city VARCHAR, population__2013_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 2938, 357, 2658, 834, 536, 41, 15599, 7, 17, 834, 6726, 584, 4280, 28027, 6, 2074, 834, 834, 11138, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2015, 834, 6726, 21680, 953, 834, 27693, 2938, 357, 2658, 834, 536, 549, 17444, 427, 2074, 834, 834, 11138, 834, 3274, 431, 26898, 2915, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
what is the largest city where the province is eastern cape?
SELECT largest_city FROM table_17416221_1 WHERE province = "Eastern Cape"
CREATE TABLE table_17416221_1 (largest_city VARCHAR, province VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 2938, 357, 2658, 834, 536, 41, 15599, 7, 17, 834, 6726, 584, 4280, 28027, 6, 7985, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 2015, 690, 213, 8...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2015, 834, 6726, 21680, 953, 834, 27693, 2938, 357, 2658, 834, 536, 549, 17444, 427, 7985, 3274, 96, 427, 9, 13072, 9702, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
what is minimum area where the largest city is bloemfontein?
SELECT MIN(area__km_2__) FROM table_17416221_1 WHERE largest_city = "Bloemfontein"
CREATE TABLE table_17416221_1 (area__km_2__ INTEGER, largest_city VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 2938, 357, 2658, 834, 536, 41, 498, 834, 834, 5848, 834, 357, 834, 834, 3, 21342, 17966, 6, 2015, 834, 6726, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 498, 834, 834, 5848, 834, 357, 834, 834, 61, 21680, 953, 834, 27693, 2938, 357, 2658, 834, 536, 549, 17444, 427, 2015, 834, 6726, 3274, 96, 279, 40, 32, 15, 51, 89, 1770, 2455, 121, 1, -100, -100, ...
what is the numbe of provincial captial where the population is 1162900?
SELECT COUNT(provincial_capital) FROM table_17416221_1 WHERE population__2013_ = 1162900
CREATE TABLE table_17416221_1 (provincial_capital VARCHAR, population__2013_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 2938, 357, 2658, 834, 536, 41, 1409, 2494, 4703, 834, 4010, 9538, 584, 4280, 28027, 6, 2074, 834, 834, 11138, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1409, 2494, 4703, 834, 4010, 9538, 61, 21680, 953, 834, 27693, 2938, 357, 2658, 834, 536, 549, 17444, 427, 2074, 834, 834, 11138, 834, 3274, 850, 4056, 7015, 1, -100, -100, -100, -100, -100, -100, -1...
what is the number of provincial captial where the province is northern cape?
SELECT COUNT(provincial_capital) FROM table_17416221_1 WHERE province = "Northern Cape"
CREATE TABLE table_17416221_1 (provincial_capital VARCHAR, province VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 2938, 357, 2658, 834, 536, 41, 1409, 2494, 4703, 834, 4010, 9538, 584, 4280, 28027, 6, 7985, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 125, 19, 8, 381, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1409, 2494, 4703, 834, 4010, 9538, 61, 21680, 953, 834, 27693, 2938, 357, 2658, 834, 536, 549, 17444, 427, 7985, 3274, 96, 22969, 49, 29, 9702, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the airport with the IATA MEL?
SELECT COUNT(airport) FROM table_17419587_1 WHERE iata = "MEL"
CREATE TABLE table_17419587_1 (airport VARCHAR, iata VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 22464, 4225, 834, 536, 41, 2256, 1493, 584, 4280, 28027, 6, 3, 17221, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3761, 28, 8, 27, 19282, 283, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 2256, 1493, 61, 21680, 953, 834, 27693, 22464, 4225, 834, 536, 549, 17444, 427, 3, 17221, 3274, 96, 329, 3577, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
If unknown is larger than 1.0, what is the maximum two year amount?
SELECT MAX(two_years) FROM table_174266_6 WHERE unknown > 1.0
CREATE TABLE table_174266_6 (two_years INTEGER, unknown INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4165, 3539, 834, 948, 41, 8264, 834, 1201, 7, 3, 21342, 17966, 6, 7752, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 156, 7752, 19, 2186, 145, 3, 12734, 6, 125...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 8264, 834, 1201, 7, 61, 21680, 953, 834, 2517, 4165, 3539, 834, 948, 549, 17444, 427, 7752, 2490, 3, 12734, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
If two years is 159, what is the amount for one year?
SELECT MIN(one_year) FROM table_174266_6 WHERE two_years = 159
CREATE TABLE table_174266_6 (one_year INTEGER, two_years VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4165, 3539, 834, 948, 41, 782, 834, 1201, 3, 21342, 17966, 6, 192, 834, 1201, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 156, 192, 203, 19, 3, 27904, 6, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 782, 834, 1201, 61, 21680, 953, 834, 2517, 4165, 3539, 834, 948, 549, 17444, 427, 192, 834, 1201, 7, 3274, 3, 27904, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
If the year is 2010, what is the minimum amount of years 5-9?
SELECT MIN(5 AS _9_years) FROM table_174266_6 WHERE year = 2010
CREATE TABLE table_174266_6 (year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4165, 3539, 834, 948, 41, 1201, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 156, 8, 215, 19, 8693, 125, 19, 8, 2559, 866, 13, 203, 305, 7141, 58, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 755, 6157, 3, 834, 1298, 834, 1201, 7, 61, 21680, 953, 834, 2517, 4165, 3539, 834, 948, 549, 17444, 427, 215, 3274, 2735, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When debra j. fisher & erica messer are the writers and the director is patrick norris what is the series number?
SELECT series__number FROM table_17467147_1 WHERE directed_by = "Patrick Norris" AND written_by = "Debra J. Fisher & Erica Messer"
CREATE TABLE table_17467147_1 (series__number VARCHAR, directed_by VARCHAR, written_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 3708, 24719, 834, 536, 41, 10833, 7, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 6640, 834, 969, 584, 4280, 28027, 6, 1545, 834, 969, 584, 4280, 28027, 61, 3, 32105, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 939, 834, 834, 5525, 1152, 21680, 953, 834, 27693, 3708, 24719, 834, 536, 549, 17444, 427, 6640, 834, 969, 3274, 96, 20742, 2406, 7005, 52, 159, 121, 3430, 1545, 834, 969, 3274, 96, 2962, 1939, 446, 5, 14639, 3, 184...
When there are 12.70 million u.s. viewers who is the director?
SELECT directed_by FROM table_17467147_1 WHERE us_viewers__million_ = "12.70"
CREATE TABLE table_17467147_1 (directed_by VARCHAR, us_viewers__million_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 27693, 3708, 24719, 834, 536, 41, 22955, 834, 969, 584, 4280, 28027, 6, 178, 834, 4576, 277, 834, 834, 17030, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6640, 834, 969, 21680, 953, 834, 27693, 3708, 24719, 834, 536, 549, 17444, 427, 178, 834, 4576, 277, 834, 834, 17030, 834, 3274, 96, 9368, 2518, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which is the number of the episode "rook gave" "rūku dīo" (デ デ ィ オ ー ル) which aired on July 14, 2003
SELECT MIN(episode__number) FROM table_17481974_1 WHERE original_airdate = "July 14, 2003"
CREATE TABLE table_17481974_1 (episode__number INTEGER, original_airdate VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3707, 2294, 4581, 834, 536, 41, 15, 102, 159, 32, 221, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 926, 834, 2256, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 15, 102, 159, 32, 221, 834, 834, 5525, 1152, 61, 21680, 953, 834, 2517, 3707, 2294, 4581, 834, 536, 549, 17444, 427, 926, 834, 2256, 5522, 3274, 96, 683, 83, 63, 11363, 3888, 121, 1, -100, -100, -10...
What are the numbers of episodes that were broadcast on September 1, 2003
SELECT episode__number FROM table_17481974_1 WHERE original_airdate = "September 1, 2003"
CREATE TABLE table_17481974_1 (episode__number VARCHAR, original_airdate VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3707, 2294, 4581, 834, 536, 41, 15, 102, 159, 32, 221, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 926, 834, 2256, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5640, 834, 834, 5525, 1152, 21680, 953, 834, 2517, 3707, 2294, 4581, 834, 536, 549, 17444, 427, 926, 834, 2256, 5522, 3274, 96, 27652, 1914, 3888, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many viewers did Episode #5 have?
SELECT viewers__millions_ FROM table_17525955_2 WHERE episode__number = 5
CREATE TABLE table_17525955_2 (viewers__millions_ VARCHAR, episode__number VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 41, 4576, 277, 834, 834, 17030, 7, 834, 584, 4280, 28027, 6, 5640, 834, 834, 5525, 1152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 13569, 834, 834, 17030, 7, 834, 21680, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 549, 17444, 427, 5640, 834, 834, 5525, 1152, 3274, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many share values are listed for the episode with a rating/share value of 2.6/8?
SELECT COUNT(share) FROM table_17525955_2 WHERE rating / SHARE(18 AS –49) = 2.6 / 8
CREATE TABLE table_17525955_2 (share VARCHAR, rating VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 41, 12484, 584, 4280, 28027, 6, 5773, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 698, 2620, 33, 2616, 21, 8, 5640, 28, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 12484, 61, 21680, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 549, 17444, 427, 5773, 3, 87, 10046, 7451, 599, 2606, 6157, 3, 104, 3647, 61, 3274, 3, 22724, 3, 87, 505, 1, -100, -100, -100, -100, ...
How many episodes were originally aired Saturday, May 30, 2009?
SELECT COUNT(episode__number) FROM table_17525955_2 WHERE us_air_date = "Saturday, May 30, 2009"
CREATE TABLE table_17525955_2 (episode__number VARCHAR, us_air_date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 41, 15, 102, 159, 32, 221, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 178, 834, 2256, 834, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 15, 102, 159, 32, 221, 834, 834, 5525, 1152, 61, 21680, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 549, 17444, 427, 178, 834, 2256, 834, 5522, 3274, 96, 134, 6010, 1135, 6, 932, 11558, 2464, 121, ...
What is the rating of the episode with a rating/share of 0.9/4?
SELECT rating FROM table_17525955_2 WHERE rating / SHARE(18 AS –49) = 0.9 / 4
CREATE TABLE table_17525955_2 (rating VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 41, 52, 1014, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 5773, 13, 8, 5640, 28, 3, 9, 5773, 87, 12484, 13, 3, 2375...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5773, 21680, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 549, 17444, 427, 5773, 3, 87, 10046, 7451, 599, 2606, 6157, 3, 104, 3647, 61, 3274, 3, 23758, 3, 87, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many episodes aired Saturday, July 11, 2009
SELECT COUNT(episode__number) FROM table_17525955_2 WHERE us_air_date = "Saturday, July 11, 2009"
CREATE TABLE table_17525955_2 (episode__number VARCHAR, us_air_date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 41, 15, 102, 159, 32, 221, 834, 834, 5525, 1152, 584, 4280, 28027, 6, 178, 834, 2256, 834, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 15, 102, 159, 32, 221, 834, 834, 5525, 1152, 61, 21680, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 549, 17444, 427, 178, 834, 2256, 834, 5522, 3274, 96, 134, 6010, 1135, 6, 1718, 9694, 2464, 121, ...
How many rating/share values does the episode aired on Saturday, May 9, 2009?
SELECT COUNT(rating) / SHARE(18 AS –49) FROM table_17525955_2 WHERE us_air_date = "Saturday, May 9, 2009"
CREATE TABLE table_17525955_2 (rating VARCHAR, us_air_date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 41, 52, 1014, 584, 4280, 28027, 6, 178, 834, 2256, 834, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 5773, 87, 12484...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 52, 1014, 61, 3, 87, 10046, 7451, 599, 2606, 6157, 3, 104, 3647, 61, 21680, 953, 834, 2517, 5373, 3390, 3769, 834, 357, 549, 17444, 427, 178, 834, 2256, 834, 5522, 3274, 96, 134, 6010, 1135, 6, 9...
How many subsidiaries of Postermobile Limited?
SELECT subsidiaries FROM table_1756264_2 WHERE company_name = "POSTERMOBILE LIMITED"
CREATE TABLE table_1756264_2 (subsidiaries VARCHAR, company_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4834, 26755, 834, 357, 41, 7304, 7, 24594, 2593, 584, 4280, 28027, 6, 349, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 28382, 13, 1844, 49...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 28382, 21680, 953, 834, 2517, 4834, 26755, 834, 357, 549, 17444, 427, 349, 834, 4350, 3274, 96, 16034, 5946, 5365, 279, 20129, 31351, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What activities does Clear Channel Entertainment Facilitation Limited engage in?
SELECT description_of_activities FROM table_1756264_2 WHERE company_name = "CLEAR CHANNEL ENTERTAINMENT FACILITATION LIMITED"
CREATE TABLE table_1756264_2 (description_of_activities VARCHAR, company_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4834, 26755, 834, 357, 41, 221, 11830, 834, 858, 834, 8463, 2197, 584, 4280, 28027, 6, 349, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1087, 4...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4210, 834, 858, 834, 8463, 2197, 21680, 953, 834, 2517, 4834, 26755, 834, 357, 549, 17444, 427, 349, 834, 4350, 3274, 96, 22704, 4280, 3, 25000, 4171, 434, 3, 6431, 24203, 13570, 11810, 377, 5173, 3502, 3177, 8015, 31...
How many subsidiaries of company F M Media Limited?
SELECT subsidiaries FROM table_1756264_2 WHERE company_name = "F M MEDIA LIMITED"
CREATE TABLE table_1756264_2 (subsidiaries VARCHAR, company_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4834, 26755, 834, 357, 41, 7304, 7, 24594, 2593, 584, 4280, 28027, 6, 349, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 28382, 13, 349, 377...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 28382, 21680, 953, 834, 2517, 4834, 26755, 834, 357, 549, 17444, 427, 349, 834, 4350, 3274, 96, 371, 283, 3, 30296, 31351, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many subsidiaries are there of Postermobile Advertising Limited?
SELECT MIN(subsidiaries) FROM table_1756264_2 WHERE company_name = "POSTERMOBILE ADVERTISING LIMITED"
CREATE TABLE table_1756264_2 (subsidiaries INTEGER, company_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4834, 26755, 834, 357, 41, 7304, 7, 24594, 2593, 3, 21342, 17966, 6, 349, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 28382, 33, 132, 13, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 7304, 7, 24594, 2593, 61, 21680, 953, 834, 2517, 4834, 26755, 834, 357, 549, 17444, 427, 349, 834, 4350, 3274, 96, 16034, 5946, 5365, 279, 20129, 8502, 16174, 5494, 134, 2365, 31351, 121, 1, -100, -100,...
What is the largest number of holding companies?
SELECT MAX(holding_companies) FROM table_1756264_2
CREATE TABLE table_1756264_2 (holding_companies INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4834, 26755, 834, 357, 41, 21647, 834, 7699, 9, 14347, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2015, 381, 13, 3609, 688, 58, 1, 0, 0, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 21647, 834, 7699, 9, 14347, 61, 21680, 953, 834, 2517, 4834, 26755, 834, 357, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many companies have Postermobile Limited as a parent company?
SELECT COUNT(company_name) FROM table_1756264_2 WHERE parent__holding__company = "POSTERMOBILE LIMITED"
CREATE TABLE table_1756264_2 (company_name VARCHAR, parent__holding__company VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 4834, 26755, 834, 357, 41, 29179, 834, 4350, 584, 4280, 28027, 6, 4208, 834, 834, 21647, 834, 834, 29179, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 29179, 834, 4350, 61, 21680, 953, 834, 2517, 4834, 26755, 834, 357, 549, 17444, 427, 4208, 834, 834, 21647, 834, 834, 29179, 3274, 96, 16034, 5946, 5365, 279, 20129, 31351, 121, 1, -100, -100, -100, ...
Name the total number of league cup for mark roberts
SELECT COUNT(league) AS Cup FROM table_17598822_11 WHERE player = "Mark Roberts"
CREATE TABLE table_17598822_11 (league VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3390, 4060, 2884, 834, 2596, 41, 29512, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 5533, 4119, 21, 3946, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 29512, 61, 6157, 3802, 21680, 953, 834, 2517, 3390, 4060, 2884, 834, 2596, 549, 17444, 427, 1959, 3274, 96, 19762, 2715, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the total number of league for 5
SELECT COUNT(league) FROM table_17598822_11 WHERE total = 5
CREATE TABLE table_17598822_11 (league VARCHAR, total VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3390, 4060, 2884, 834, 2596, 41, 29512, 584, 4280, 28027, 6, 792, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 5533, 21, 305, 1, 0, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 29512, 61, 21680, 953, 834, 2517, 3390, 4060, 2884, 834, 2596, 549, 17444, 427, 792, 3274, 305, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the maximum leagure for 0 scottish cup
SELECT MAX(league) FROM table_17598822_11 WHERE scottish_cup = 0
CREATE TABLE table_17598822_11 (league INTEGER, scottish_cup VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3390, 4060, 2884, 834, 2596, 41, 29512, 3, 21342, 17966, 6, 3, 7, 10405, 1273, 834, 4658, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 2411, 90, 9, 7...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 29512, 61, 21680, 953, 834, 2517, 3390, 4060, 2884, 834, 2596, 549, 17444, 427, 3, 7, 10405, 1273, 834, 4658, 3274, 3, 632, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the most challenge cup for damon gray
SELECT MAX(challenge_cup) FROM table_17598822_11 WHERE player = "Damon Gray"
CREATE TABLE table_17598822_11 (challenge_cup INTEGER, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3390, 4060, 2884, 834, 2596, 41, 12654, 40, 35, 397, 834, 4658, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 167, 1921, 4119,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 12654, 40, 35, 397, 834, 4658, 61, 21680, 953, 834, 2517, 3390, 4060, 2884, 834, 2596, 549, 17444, 427, 1959, 3274, 96, 308, 9, 2157, 13375, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the league for paul paton
SELECT league FROM table_17598822_11 WHERE player = "Paul Paton"
CREATE TABLE table_17598822_11 (league VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2517, 3390, 4060, 2884, 834, 2596, 41, 29512, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 5533, 21, 2576, 83, 6234, 106, 1, 0, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5533, 21680, 953, 834, 2517, 3390, 4060, 2884, 834, 2596, 549, 17444, 427, 1959, 3274, 96, 23183, 5192, 106, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the original air date of this episode that was written by Debbie Sarjeant?
SELECT original_air_date FROM table_17623902_1 WHERE written_by = "Debbie Sarjeant"
CREATE TABLE table_17623902_1 (original_air_date VARCHAR, written_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 2773, 2394, 357, 834, 536, 41, 21878, 834, 2256, 834, 5522, 584, 4280, 28027, 6, 1545, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 926, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 926, 834, 2256, 834, 5522, 21680, 953, 834, 26782, 2773, 2394, 357, 834, 536, 549, 17444, 427, 1545, 834, 969, 3274, 96, 2962, 115, 4232, 9422, 26459, 17, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many episodes did Julie Martin wrote for the show If every episode has its own production code?
SELECT COUNT(production_code) FROM table_17623902_1 WHERE written_by = "Julie Martin"
CREATE TABLE table_17623902_1 (production_code VARCHAR, written_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 2773, 2394, 357, 834, 536, 41, 20762, 834, 4978, 584, 4280, 28027, 6, 1545, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 13562, 410, 12983, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 20762, 834, 4978, 61, 21680, 953, 834, 26782, 2773, 2394, 357, 834, 536, 549, 17444, 427, 1545, 834, 969, 3274, 96, 683, 76, 1896, 3394, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the total number of series for april 26
SELECT COUNT(series) FROM table_17621978_11 WHERE date = "April 26"
CREATE TABLE table_17621978_11 (series VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 2658, 21441, 834, 2596, 41, 10833, 7, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 939, 21, 3, 9, 2246, 40, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 10833, 7, 61, 21680, 953, 834, 26782, 2658, 21441, 834, 2596, 549, 17444, 427, 833, 3274, 96, 23323, 2208, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the number of high rebounds for april 21
SELECT COUNT(high_rebounds) FROM table_17621978_11 WHERE date = "April 21"
CREATE TABLE table_17621978_11 (high_rebounds VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 2658, 21441, 834, 2596, 41, 6739, 834, 23768, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 381, 13, 306, 3, 23768, 21, 3, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 6739, 834, 23768, 61, 21680, 953, 834, 26782, 2658, 21441, 834, 2596, 549, 17444, 427, 833, 3274, 96, 23323, 1401, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the number of location attendance for april 24
SELECT COUNT(location_attendance) FROM table_17621978_11 WHERE date = "April 24"
CREATE TABLE table_17621978_11 (location_attendance VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 2658, 21441, 834, 2596, 41, 14836, 834, 15116, 663, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 381, 13, 1128, 11364, 21, 3...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 14836, 834, 15116, 663, 61, 21680, 953, 834, 26782, 2658, 21441, 834, 2596, 549, 17444, 427, 833, 3274, 96, 23323, 997, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is listed in p when the type is listed as free agent 1?
SELECT p FROM table_17634290_7 WHERE type = "Free agent 1"
CREATE TABLE table_17634290_7 (p VARCHAR, type VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 3710, 23838, 834, 940, 41, 102, 584, 4280, 28027, 6, 686, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 2616, 16, 3, 102, 116, 8, 686, 19, 2616, 38, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 102, 21680, 953, 834, 26782, 3710, 23838, 834, 940, 549, 17444, 427, 686, 3274, 96, 16393, 3102, 209, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the end when moving from is listed as cary clarets?
SELECT ends FROM table_17634290_7 WHERE moving_from = "Cary Clarets"
CREATE TABLE table_17634290_7 (ends VARCHAR, moving_from VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 3710, 23838, 834, 940, 41, 989, 7, 584, 4280, 28027, 6, 1735, 834, 7152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 414, 116, 1735, 45, 19, 261...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 5542, 21680, 953, 834, 26782, 3710, 23838, 834, 940, 549, 17444, 427, 1735, 834, 7152, 3274, 96, 254, 1208, 9908, 15, 17, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the name of the country where moving from is listed as bristol city?
SELECT country FROM table_17634290_7 WHERE moving_from = "Bristol City"
CREATE TABLE table_17634290_7 (country VARCHAR, moving_from VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 3710, 23838, 834, 940, 41, 17529, 584, 4280, 28027, 6, 1735, 834, 7152, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 684, 213, 1735, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 684, 21680, 953, 834, 26782, 3710, 23838, 834, 940, 549, 17444, 427, 1735, 834, 7152, 3274, 96, 279, 17149, 40, 896, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the number of duration for viewership of 5.46 million
SELECT COUNT(duration) FROM table_17641206_6 WHERE viewership = "5.46 million"
CREATE TABLE table_17641206_6 (duration VARCHAR, viewership VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 4853, 24643, 834, 948, 41, 1259, 2661, 584, 4280, 28027, 6, 17831, 2009, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 381, 13, 8659, 21, 17831, 2009, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 1259, 2661, 61, 21680, 953, 834, 26782, 4853, 24643, 834, 948, 549, 17444, 427, 17831, 2009, 3274, 96, 9125, 4448, 770, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the total number of episodes written by david cantor
SELECT COUNT(episode) FROM table_17641206_6 WHERE written_by = "David Cantor"
CREATE TABLE table_17641206_6 (episode VARCHAR, written_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 26782, 4853, 24643, 834, 948, 41, 15, 102, 159, 32, 221, 584, 4280, 28027, 6, 1545, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 13...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 15, 102, 159, 32, 221, 61, 21680, 953, 834, 26782, 4853, 24643, 834, 948, 549, 17444, 427, 1545, 834, 969, 3274, 96, 308, 9, 6961, 1072, 17, 127, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...