NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
How many times is the ethnic group other: total?
SELECT COUNT(2001 AS __percentage) FROM table_282413_3 WHERE ethnic_group = "Other: Total"
CREATE TABLE table_282413_3 (ethnic_group VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2266, 2368, 834, 519, 41, 15, 189, 2532, 834, 10739, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 648, 19, 8, 11655, 563, 119, 10, 792, 58, 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, 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, 2847, 17161, 599, 23658, 6157, 3, 834, 834, 883, 3728, 545, 61, 21680, 953, 834, 2577, 2266, 2368, 834, 519, 549, 17444, 427, 11655, 834, 10739, 3274, 96, 667, 189, 49, 10, 9273, 121, 1, -100, -100, -100, -100, -100...
What is the highest 2011 population when the ethnic group is asian or asian british: asian other?
SELECT MAX(2011 AS _population) FROM table_282413_3 WHERE ethnic_group = "Asian or Asian British: Asian Other"
CREATE TABLE table_282413_3 (ethnic_group VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2266, 2368, 834, 519, 41, 15, 189, 2532, 834, 10739, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2030, 2722, 2074, 116, 8, 11655, 563, 19, 3, 9, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 13907, 6157, 3, 834, 9791, 7830, 61, 21680, 953, 834, 2577, 2266, 2368, 834, 519, 549, 17444, 427, 11655, 834, 10739, 3274, 96, 188, 10488, 42, 6578, 2390, 10, 6578, 2502, 121, 1, -100, -100, -100, -10...
Name the affiliation for 27209 enrollment
SELECT affiliation FROM table_28253870_1 WHERE enrollment = 27209
CREATE TABLE table_28253870_1 (affiliation VARCHAR, enrollment VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 1828, 3747, 2518, 834, 536, 41, 4127, 173, 23, 257, 584, 4280, 28027, 6, 17938, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 24405, 21, 2307, 357, 4198...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 24405, 21680, 953, 834, 2577, 1828, 3747, 2518, 834, 536, 549, 17444, 427, 17938, 3274, 2307, 357, 4198, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the least founded
SELECT MIN(founded) FROM table_28253870_1
CREATE TABLE table_28253870_1 (founded INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 1828, 3747, 2518, 834, 536, 41, 23329, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 709, 5710, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 23329, 61, 21680, 953, 834, 2577, 1828, 3747, 2518, 834, 536, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the founded for florida state university
SELECT founded FROM table_28253870_1 WHERE institution = "Florida State University"
CREATE TABLE table_28253870_1 (founded VARCHAR, institution VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 1828, 3747, 2518, 834, 536, 41, 23329, 584, 4280, 28027, 6, 6568, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 5710, 21, 12215, 26, 9, 538, 3819, 1, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5710, 21680, 953, 834, 2577, 1828, 3747, 2518, 834, 536, 549, 17444, 427, 6568, 3274, 96, 11251, 4055, 9, 1015, 636, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Name the location for yellow jackets
SELECT location FROM table_28253870_1 WHERE team_nickname = "Yellow Jackets"
CREATE TABLE table_28253870_1 (location VARCHAR, team_nickname VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 1828, 3747, 2518, 834, 536, 41, 14836, 584, 4280, 28027, 6, 372, 834, 11191, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1128, 21, 4459, 8094, 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, 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, 21680, 953, 834, 2577, 1828, 3747, 2518, 834, 536, 549, 17444, 427, 372, 834, 11191, 4350, 3274, 96, 476, 7126, 210, 24412, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many college teams have a player with a nationality of Russia?
SELECT COUNT(college_junior_club_team) FROM table_2840500_6 WHERE nationality = "Russia"
CREATE TABLE table_2840500_6 (college_junior_club_team VARCHAR, nationality VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2445, 2560, 834, 948, 41, 3297, 7883, 834, 6959, 23, 127, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 1157, 485, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 3297, 7883, 834, 6959, 23, 127, 834, 13442, 834, 11650, 61, 21680, 953, 834, 2577, 2445, 2560, 834, 948, 549, 17444, 427, 1157, 485, 3274, 96, 29613, 121, 1, -100, -100, -100, -100, -100, -100, -100,...
Which pick did Michel Larocque receive?
SELECT pick FROM table_2840500_6 WHERE player = "Michel Larocque"
CREATE TABLE table_2840500_6 (pick VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2445, 2560, 834, 948, 41, 17967, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1432, 410, 9411, 325, 7818, 835, 911, 58, 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, 1432, 21680, 953, 834, 2577, 2445, 2560, 834, 948, 549, 17444, 427, 1959, 3274, 96, 30123, 325, 7818, 835, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Which team picked Blaine Russell?
SELECT nhl_team FROM table_2840500_6 WHERE player = "Blaine Russell"
CREATE TABLE table_2840500_6 (nhl_team VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2445, 2560, 834, 948, 41, 29, 107, 40, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 372, 4758, 6942, 630, 14010, 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, 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, 29, 107, 40, 834, 11650, 21680, 953, 834, 2577, 2445, 2560, 834, 948, 549, 17444, 427, 1959, 3274, 96, 279, 40, 7043, 14010, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many entries for district home are listed for the 87th congress?
SELECT COUNT(district_home) FROM table_2841865_2 WHERE congress = "87th"
CREATE TABLE table_2841865_2 (district_home VARCHAR, congress VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4608, 2606, 4122, 834, 357, 41, 26, 23, 20066, 834, 5515, 584, 4280, 28027, 6, 27197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 10066, 21, 3939, 234...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 26, 23, 20066, 834, 5515, 61, 21680, 953, 834, 357, 4608, 2606, 4122, 834, 357, 549, 17444, 427, 27197, 3274, 96, 4225, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What time span is listed under years for the 96th congres?
SELECT years FROM table_2841865_2 WHERE congress = "96th"
CREATE TABLE table_2841865_2 (years VARCHAR, congress VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4608, 2606, 4122, 834, 357, 41, 1201, 7, 584, 4280, 28027, 6, 27197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 97, 8438, 19, 2616, 365, 203, 21, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 203, 21680, 953, 834, 357, 4608, 2606, 4122, 834, 357, 549, 17444, 427, 27197, 3274, 96, 4314, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What party is listed for the Representative under the 85th congress?
SELECT party FROM table_2841865_2 WHERE congress = "85th"
CREATE TABLE table_2841865_2 (party VARCHAR, congress VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4608, 2606, 4122, 834, 357, 41, 8071, 584, 4280, 28027, 6, 27197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1088, 19, 2616, 21, 8, 13517, 365, 8, 11989, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1088, 21680, 953, 834, 357, 4608, 2606, 4122, 834, 357, 549, 17444, 427, 27197, 3274, 96, 4433, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many entries are listed for party during the 69th congress?
SELECT COUNT(party) FROM table_2841865_2 WHERE congress = "69th"
CREATE TABLE table_2841865_2 (party VARCHAR, congress VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4608, 2606, 4122, 834, 357, 41, 8071, 584, 4280, 28027, 6, 27197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 10066, 33, 2616, 21, 1088, 383, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 8071, 61, 21680, 953, 834, 357, 4608, 2606, 4122, 834, 357, 549, 17444, 427, 27197, 3274, 96, 3951, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What frame of time is listed under years during the 72nd congress?
SELECT years FROM table_2841865_2 WHERE congress = "72nd"
CREATE TABLE table_2841865_2 (years VARCHAR, congress VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4608, 2606, 4122, 834, 357, 41, 1201, 7, 584, 4280, 28027, 6, 27197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2835, 13, 97, 19, 2616, 365, 203, 383, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 203, 21680, 953, 834, 357, 4608, 2606, 4122, 834, 357, 549, 17444, 427, 27197, 3274, 96, 5865, 727, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What name is listed under representative for the 112th congress?
SELECT representative FROM table_2841865_2 WHERE congress = "112th"
CREATE TABLE table_2841865_2 (representative VARCHAR, congress VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4608, 2606, 4122, 834, 357, 41, 60, 12640, 1528, 584, 4280, 28027, 6, 27197, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 564, 19, 2616, 365, 6978, 21, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 6978, 21680, 953, 834, 357, 4608, 2606, 4122, 834, 357, 549, 17444, 427, 27197, 3274, 96, 2596, 357, 189, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the value of the runner up column for the Alberta province?
SELECT MAX(runner_up) FROM table_28457809_3 WHERE province = "Alberta"
CREATE TABLE table_28457809_3 (runner_up INTEGER, province VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2128, 3940, 4198, 834, 519, 41, 10806, 834, 413, 3, 21342, 17966, 6, 7985, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 701, 13, 8, 3, 10806, 95, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 10806, 834, 413, 61, 21680, 953, 834, 2577, 2128, 3940, 4198, 834, 519, 549, 17444, 427, 7985, 3274, 96, 25691, 49, 17, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What year was Ontario's first LLCR?
SELECT first_llcr FROM table_28457809_3 WHERE province = "Ontario"
CREATE TABLE table_28457809_3 (first_llcr VARCHAR, province VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2128, 3940, 4198, 834, 519, 41, 14672, 834, 195, 75, 52, 584, 4280, 28027, 6, 7985, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 215, 47, 9163, 31, 7, 16...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 166, 834, 195, 75, 52, 21680, 953, 834, 2577, 2128, 3940, 4198, 834, 519, 549, 17444, 427, 7985, 3274, 96, 7638, 5310, 32, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the pinyin name for the english name xin county?
SELECT pinyin FROM table_2847477_2 WHERE english_name = "Xin County"
CREATE TABLE table_2847477_2 (pinyin VARCHAR, english_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4177, 591, 4013, 834, 357, 41, 3180, 63, 77, 584, 4280, 28027, 6, 22269, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 4522, 63, 77, 564...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4522, 63, 77, 21680, 953, 834, 2577, 4177, 591, 4013, 834, 357, 549, 17444, 427, 22269, 834, 4350, 3274, 96, 4, 77, 1334, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the area of 罗山县?
SELECT area FROM table_2847477_2 WHERE simplified = "罗山县"
CREATE TABLE table_2847477_2 (area VARCHAR, simplified VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4177, 591, 4013, 834, 357, 41, 498, 584, 4280, 28027, 6, 24687, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 616, 13, 3, 2, 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, 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, 616, 21680, 953, 834, 2577, 4177, 591, 4013, 834, 357, 549, 17444, 427, 24687, 3274, 96, 2, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the English name of gùshǐ xiàn?
SELECT english_name FROM table_2847477_2 WHERE pinyin = "Gùshǐ Xiàn"
CREATE TABLE table_2847477_2 (english_name VARCHAR, pinyin VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4177, 591, 4013, 834, 357, 41, 4606, 40, 1273, 834, 4350, 584, 4280, 28027, 6, 4522, 63, 77, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1566, 56...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 22269, 834, 4350, 21680, 953, 834, 2577, 4177, 591, 4013, 834, 357, 549, 17444, 427, 4522, 63, 77, 3274, 96, 517, 23063, 7, 107, 2, 3, 4, 23, 85, 29, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many simplified names are there for xin county?
SELECT COUNT(simplified) FROM table_2847477_2 WHERE english_name = "Xin County"
CREATE TABLE table_2847477_2 (simplified VARCHAR, english_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4177, 591, 4013, 834, 357, 41, 7, 10296, 3676, 584, 4280, 28027, 6, 22269, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 24687, 3056, 33, 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, 2847, 17161, 599, 7, 10296, 3676, 61, 21680, 953, 834, 2577, 4177, 591, 4013, 834, 357, 549, 17444, 427, 22269, 834, 4350, 3274, 96, 4, 77, 1334, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the density of the place with an area of 1512?
SELECT MAX(density) FROM table_2847477_2 WHERE area = 1512
CREATE TABLE table_2847477_2 (density INTEGER, area VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4177, 591, 4013, 834, 357, 41, 537, 7, 485, 3, 21342, 17966, 6, 616, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 11048, 13, 8, 286, 28, 46, 616...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 537, 7, 485, 61, 21680, 953, 834, 2577, 4177, 591, 4013, 834, 357, 549, 17444, 427, 616, 3274, 627, 2122, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the area of xin county?
SELECT area FROM table_2847477_2 WHERE english_name = "Xin County"
CREATE TABLE table_2847477_2 (area VARCHAR, english_name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4177, 591, 4013, 834, 357, 41, 498, 584, 4280, 28027, 6, 22269, 834, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 616, 13, 3, 226, 77, 5435,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 616, 21680, 953, 834, 2577, 4177, 591, 4013, 834, 357, 549, 17444, 427, 22269, 834, 4350, 3274, 96, 4, 77, 1334, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many positions are associated with the St. Louis Blues?
SELECT COUNT(position) FROM table_2850912_4 WHERE nhl_team = "St. Louis Blues"
CREATE TABLE table_2850912_4 (position VARCHAR, nhl_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 1752, 4729, 357, 834, 591, 41, 4718, 584, 4280, 28027, 6, 3, 29, 107, 40, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 4655, 33, 1968, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4718, 61, 21680, 953, 834, 2577, 1752, 4729, 357, 834, 591, 549, 17444, 427, 3, 29, 107, 40, 834, 11650, 3274, 96, 134, 17, 5, 5181, 2419, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -10...
Which junior team is associated with an NHL pick by the Buffalo Sabres?
SELECT college_junior_club_team FROM table_2850912_4 WHERE nhl_team = "Buffalo Sabres"
CREATE TABLE table_2850912_4 (college_junior_club_team VARCHAR, nhl_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 1752, 4729, 357, 834, 591, 41, 3297, 7883, 834, 6959, 23, 127, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 3, 29, 107, 40, 834, 11650, 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, 0...
[ 3, 23143, 14196, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 21680, 953, 834, 2577, 1752, 4729, 357, 834, 591, 549, 17444, 427, 3, 29, 107, 40, 834, 11650, 3274, 96, 279, 2999, 138, 32, 11315, 60, 7, 121, 1, -100, -100, -100...
Which position was selected for by the Toronto Maple Leafs?
SELECT position FROM table_2850912_4 WHERE nhl_team = "Toronto Maple Leafs"
CREATE TABLE table_2850912_4 (position VARCHAR, nhl_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 1752, 4729, 357, 834, 591, 41, 4718, 584, 4280, 28027, 6, 3, 29, 107, 40, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 1102, 47, 2639, 21, 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, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1102, 21680, 953, 834, 2577, 1752, 4729, 357, 834, 591, 549, 17444, 427, 3, 29, 107, 40, 834, 11650, 3274, 96, 3696, 4438, 32, 23153, 19407, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many different college/junior/club teams had player John Dzikowski?
SELECT COUNT(college_junior_club_team) FROM table_2850912_6 WHERE player = "John Dzikowski"
CREATE TABLE table_2850912_6 (college_junior_club_team VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 1752, 4729, 357, 834, 948, 41, 3297, 7883, 834, 6959, 23, 127, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 3297, 7883, 834, 6959, 23, 127, 834, 13442, 834, 11650, 61, 21680, 953, 834, 2577, 1752, 4729, 357, 834, 948, 549, 17444, 427, 1959, 3274, 96, 18300, 309, 702, 27077, 121, 1, -100, -100, -100, -100, ...
What pick was Greg Strome?
SELECT MAX(pick__number) FROM table_2850912_6 WHERE player = "Greg Strome"
CREATE TABLE table_2850912_6 (pick__number INTEGER, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 1752, 4729, 357, 834, 948, 41, 17967, 834, 834, 5525, 1152, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1432, 47, 11859, 10969, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17967, 834, 834, 5525, 1152, 61, 21680, 953, 834, 2577, 1752, 4729, 357, 834, 948, 549, 17444, 427, 1959, 3274, 96, 517, 60, 122, 10969, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the gender of the cunningham hill infant school?
SELECT gender FROM table_28523_2 WHERE school = "Cunningham Hill Infant school"
CREATE TABLE table_28523_2 (gender VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4433, 2773, 834, 357, 41, 122, 3868, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 7285, 13, 8, 123, 9416, 1483, 9956, 980...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7285, 21680, 953, 834, 357, 4433, 2773, 834, 357, 549, 17444, 427, 496, 3274, 96, 15784, 9416, 1483, 3588, 28405, 496, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the gender with a age range of 3-11 at the st adrian roman catholic primary school?
SELECT gender FROM table_28523_2 WHERE age_range = "3-11" AND school = "St Adrian Roman Catholic Primary school"
CREATE TABLE table_28523_2 (gender VARCHAR, age_range VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4433, 2773, 834, 357, 41, 122, 3868, 584, 4280, 28027, 6, 1246, 834, 5517, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 7285, 21680, 953, 834, 357, 4433, 2773, 834, 357, 549, 17444, 427, 1246, 834, 5517, 3274, 96, 519, 9169, 121, 3430, 496, 3274, 96, 134, 17, 12399, 3385, 6502, 14542, 496, 121, 1, -100, -100, -100, -100, -100, -100, ...
What is the website of the cunningham hill infant school?
SELECT school AS website FROM table_28523_2 WHERE school = "Cunningham Hill Infant school"
CREATE TABLE table_28523_2 (school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4433, 2773, 834, 357, 41, 6646, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 475, 13, 8, 123, 9416, 1483, 9956, 9806, 496, 58, 1, 0, 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, 496, 6157, 475, 21680, 953, 834, 357, 4433, 2773, 834, 357, 549, 17444, 427, 496, 3274, 96, 15784, 9416, 1483, 3588, 28405, 496, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Where is the cunningham hill infant school located?
SELECT location FROM table_28523_2 WHERE school = "Cunningham Hill Infant school"
CREATE TABLE table_28523_2 (location VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4433, 2773, 834, 357, 41, 14836, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 19, 8, 123, 9416, 1483, 9956, 9806, 496, 1069, 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, 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, 21680, 953, 834, 357, 4433, 2773, 834, 357, 549, 17444, 427, 496, 3274, 96, 15784, 9416, 1483, 3588, 28405, 496, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the event 3 deadlift for hennie jordan
SELECT event_3_deadlift FROM table_28540428_3 WHERE name = "Hennie Jordan"
CREATE TABLE table_28540428_3 (event_3_deadlift VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4433, 25285, 2577, 834, 519, 41, 15, 2169, 834, 519, 834, 221, 9, 26, 9253, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 605...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 605, 834, 519, 834, 221, 9, 26, 9253, 21680, 953, 834, 357, 4433, 25285, 2577, 834, 519, 549, 17444, 427, 564, 3274, 96, 3845, 11113, 8480, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many rebounds per game did Andrej Džaković average when playing 35 minutes per game?
SELECT rebounds_per_game FROM table_28547289_1 WHERE minutes_per_game = "35"
CREATE TABLE table_28547289_1 (rebounds_per_game VARCHAR, minutes_per_game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 5062, 5865, 3914, 834, 536, 41, 23768, 834, 883, 834, 7261, 584, 4280, 28027, 6, 676, 834, 883, 834, 7261, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 23768, 834, 883, 834, 7261, 21680, 953, 834, 2577, 5062, 5865, 3914, 834, 536, 549, 17444, 427, 676, 834, 883, 834, 7261, 3274, 96, 2469, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are all the winning records when the result is Scotland won on points table and the Runner-Up result is [[|]] 4 points?
SELECT winner FROM table_28601467_1 WHERE result = "Scotland won on points table" AND runner_up = "[[|]] 4 points"
CREATE TABLE table_28601467_1 (winner VARCHAR, result VARCHAR, runner_up VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3328, 2534, 3708, 834, 536, 41, 3757, 687, 584, 4280, 28027, 6, 741, 584, 4280, 28027, 6, 3, 10806, 834, 413, 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, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 4668, 21680, 953, 834, 2577, 3328, 2534, 3708, 834, 536, 549, 17444, 427, 741, 3274, 96, 134, 4310, 40, 232, 751, 30, 979, 953, 121, 3430, 3, 10806, 834, 413, 3274, 96, 6306, 6306, 9175, 908, 908, 314, 979, 121, 1...
What is the runner-up record where winner record is Ireland 59 points?
SELECT runner_up FROM table_28601467_1 WHERE winner = "Ireland 59 points"
CREATE TABLE table_28601467_1 (runner_up VARCHAR, winner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3328, 2534, 3708, 834, 536, 41, 10806, 834, 413, 584, 4280, 28027, 6, 4668, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3, 10806, 18, 413, 1368, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 10806, 834, 413, 21680, 953, 834, 2577, 3328, 2534, 3708, 834, 536, 549, 17444, 427, 4668, 3274, 96, 196, 60, 40, 232, 3, 3390, 979, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Which nation hosted the competition in 2004?
SELECT host_nation_s_ FROM table_28601467_1 WHERE year = 2004
CREATE TABLE table_28601467_1 (host_nation_s_ VARCHAR, year VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3328, 2534, 3708, 834, 536, 41, 12675, 834, 29, 257, 834, 7, 834, 584, 4280, 28027, 6, 215, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2982, 6523, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2290, 834, 29, 257, 834, 7, 834, 21680, 953, 834, 2577, 3328, 2534, 3708, 834, 536, 549, 17444, 427, 215, 3274, 4406, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the final venue whene England hasted the competition and the runner-up record is [[|]] 4 points and the winner record is [[|]] 6 points?
SELECT final_venue FROM table_28601467_1 WHERE host_nation_s_ = "England" AND runner_up = "[[|]] 4 points" AND winner = "[[|]] 6 points"
CREATE TABLE table_28601467_1 (final_venue VARCHAR, winner VARCHAR, host_nation_s_ VARCHAR, runner_up VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3328, 2534, 3708, 834, 536, 41, 12406, 834, 15098, 584, 4280, 28027, 6, 4668, 584, 4280, 28027, 6, 2290, 834, 29, 257, 834, 7, 834, 584, 4280, 28027, 6, 3, 10806, 834...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 804, 834, 15098, 21680, 953, 834, 2577, 3328, 2534, 3708, 834, 536, 549, 17444, 427, 2290, 834, 29, 257, 834, 7, 834, 3274, 96, 8532, 7002, 727, 121, 3430, 3, 10806, 834, 413, 3274, 96, 6306, 6306, 9175, 908, 908, ...
What is the most recent year in which the winner record is Ireland 4 points?
SELECT MAX(year) FROM table_28601467_1 WHERE winner = "Ireland 4 points"
CREATE TABLE table_28601467_1 (year INTEGER, winner VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3328, 2534, 3708, 834, 536, 41, 1201, 3, 21342, 17966, 6, 4668, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 167, 1100, 215, 16, 84, 8, 4668, 1368...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 1201, 61, 21680, 953, 834, 2577, 3328, 2534, 3708, 834, 536, 549, 17444, 427, 4668, 3274, 96, 196, 60, 40, 232, 314, 979, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
under which president was gunther volz executed?
SELECT under_president FROM table_2861364_1 WHERE executed_person = "Gunther Volz"
CREATE TABLE table_2861364_1 (under_president VARCHAR, executed_person VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 2368, 4389, 834, 536, 41, 7248, 834, 102, 15704, 584, 4280, 28027, 6, 13763, 834, 6075, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 365, 84, 2753, 47, 474...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 365, 834, 102, 15704, 21680, 953, 834, 357, 3840, 2368, 4389, 834, 536, 549, 17444, 427, 13763, 834, 6075, 3274, 96, 517, 202, 189, 49, 4969, 172, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
who was executed during president charles de gaulle's reign for thr crime of child murder after rape?
SELECT executed_person FROM table_2861364_1 WHERE under_president = "Charles de Gaulle" AND crime = "Child murder after rape"
CREATE TABLE table_2861364_1 (executed_person VARCHAR, under_president VARCHAR, crime VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 2368, 4389, 834, 536, 41, 6667, 15835, 26, 834, 6075, 584, 4280, 28027, 6, 365, 834, 102, 15704, 584, 4280, 28027, 6, 5447, 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, 13763, 834, 6075, 21680, 953, 834, 357, 3840, 2368, 4389, 834, 536, 549, 17444, 427, 365, 834, 102, 15704, 3274, 96, 18947, 965, 20, 12520, 195, 15, 121, 3430, 5447, 3274, 96, 3541, 173, 26, 7738, 227, 3, 5846, 15, ...
where was mazouz ghaouti executed?
SELECT place_of_execution FROM table_2861364_1 WHERE executed_person = "Mazouz Ghaouti"
CREATE TABLE table_2861364_1 (place_of_execution VARCHAR, executed_person VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 2368, 4389, 834, 536, 41, 4687, 834, 858, 834, 6667, 75, 14548, 584, 4280, 28027, 6, 13763, 834, 6075, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 213, 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, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 286, 834, 858, 834, 6667, 75, 14548, 21680, 953, 834, 357, 3840, 2368, 4389, 834, 536, 549, 17444, 427, 13763, 834, 6075, 3274, 96, 329, 17694, 76, 172, 350, 1024, 670, 23, 121, 1, -100, -100, -100, -100, -100, -100...
for what crime was gunther volz executed at metz?
SELECT crime FROM table_2861364_1 WHERE place_of_execution = "Metz" AND executed_person = "Gunther Volz"
CREATE TABLE table_2861364_1 (crime VARCHAR, place_of_execution VARCHAR, executed_person VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 2368, 4389, 834, 536, 41, 2685, 526, 584, 4280, 28027, 6, 286, 834, 858, 834, 6667, 75, 14548, 584, 4280, 28027, 6, 13763, 834, 6075, 584, 4280, 28027, 61, 3, 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, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 5447, 21680, 953, 834, 357, 3840, 2368, 4389, 834, 536, 549, 17444, 427, 286, 834, 858, 834, 6667, 75, 14548, 3274, 96, 329, 6706, 121, 3430, 13763, 834, 6075, 3274, 96, 517, 202, 189, 49, 4969, 172, 121, 1, -100, ...
How many of Asian release statuses does Uno HD have?
SELECT COUNT(asia) FROM table_28621502_1 WHERE title = "UNO HD"
CREATE TABLE table_28621502_1 (asia VARCHAR, title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 12278, 357, 834, 536, 41, 15974, 584, 4280, 28027, 6, 2233, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 13, 6578, 1576, 2637, 15, 7, 405, 597, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15974, 61, 21680, 953, 834, 2577, 4056, 12278, 357, 834, 536, 549, 17444, 427, 2233, 3274, 96, 7443, 667, 3726, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Which titles have been published by Gamehouse Live?
SELECT title FROM table_28621502_1 WHERE publisher = "GameHouse Live"
CREATE TABLE table_28621502_1 (title VARCHAR, publisher VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 12278, 357, 834, 536, 41, 21869, 584, 4280, 28027, 6, 14859, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 8342, 43, 118, 1790, 57, 4435, 1840, 3306, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2233, 21680, 953, 834, 2577, 4056, 12278, 357, 834, 536, 549, 17444, 427, 14859, 3274, 96, 23055, 4489, 1074, 3306, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was pinky's bmi at the reunion?
SELECT reunion_bmi FROM table_28654454_5 WHERE contestant = "Pinky"
CREATE TABLE table_28654454_5 (reunion_bmi VARCHAR, contestant VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 41, 60, 16598, 834, 115, 51, 23, 584, 4280, 28027, 6, 4233, 288, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 5571, 63, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 22774, 834, 115, 51, 23, 21680, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 549, 17444, 427, 4233, 288, 3274, 96, 345, 77, 3781, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was miles's bmi att the reunion?
SELECT COUNT(reunion_bmi) FROM table_28654454_5 WHERE contestant = "Miles"
CREATE TABLE table_28654454_5 (reunion_bmi VARCHAR, contestant VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 41, 60, 16598, 834, 115, 51, 23, 584, 4280, 28027, 6, 4233, 288, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 2286, 31, 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, 2847, 17161, 599, 60, 16598, 834, 115, 51, 23, 61, 21680, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 549, 17444, 427, 4233, 288, 3274, 96, 329, 699, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many lbs were lost at the reunion by the contestant whose finale weight was 151.4?
SELECT lbs_lost_reunion FROM table_28654454_5 WHERE finale_weight = "151.4"
CREATE TABLE table_28654454_5 (lbs_lost_reunion VARCHAR, finale_weight VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 41, 9949, 834, 2298, 17, 834, 60, 16598, 584, 4280, 28027, 6, 13604, 834, 9378, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 18...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 9949, 834, 2298, 17, 834, 60, 16598, 21680, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 549, 17444, 427, 13604, 834, 9378, 3274, 96, 26578, 5, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many contestants had a starting bmi of 33.1?
SELECT COUNT(finale_weight) FROM table_28654454_5 WHERE starting_bmi = "33.1"
CREATE TABLE table_28654454_5 (finale_weight VARCHAR, starting_bmi VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 41, 12406, 15, 834, 9378, 584, 4280, 28027, 6, 1684, 834, 115, 51, 23, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 4233, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 12406, 15, 834, 9378, 61, 21680, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 549, 17444, 427, 1684, 834, 115, 51, 23, 3274, 96, 519, 18495, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the reunion weight of the contestant that lost 52 lbs at the reunion?
SELECT reunion_weight FROM table_28654454_5 WHERE lbs_lost_reunion = 52
CREATE TABLE table_28654454_5 (reunion_weight VARCHAR, lbs_lost_reunion VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 41, 60, 16598, 834, 9378, 584, 4280, 28027, 6, 3, 9949, 834, 2298, 17, 834, 60, 16598, 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, 22774, 834, 9378, 21680, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 549, 17444, 427, 3, 9949, 834, 2298, 17, 834, 60, 16598, 3274, 9065, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the reunion weight of the contestant who lost 74.4 lbs at the finale?
SELECT reunion_weight FROM table_28654454_5 WHERE lbs_lost_finale = "74.4"
CREATE TABLE table_28654454_5 (reunion_weight VARCHAR, lbs_lost_finale VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 41, 60, 16598, 834, 9378, 584, 4280, 28027, 6, 3, 9949, 834, 2298, 17, 834, 12406, 15, 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, 1, 0, 0...
[ 3, 23143, 14196, 22774, 834, 9378, 21680, 953, 834, 2577, 4122, 3628, 5062, 834, 755, 549, 17444, 427, 3, 9949, 834, 2298, 17, 834, 12406, 15, 3274, 96, 4581, 5, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is the team when the category is blocks per game?
SELECT team FROM table_28628309_8 WHERE category = "Blocks per game"
CREATE TABLE table_28628309_8 (team VARCHAR, category VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 41, 11650, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 372, 116, 8, 3295, 19, 6438, 399, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 372, 21680, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 549, 17444, 427, 3295, 3274, 96, 279, 4029, 7, 399, 467, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the listed in games played when the player is jimmy alapag?
SELECT games_played FROM table_28628309_8 WHERE player = "Jimmy Alapag"
CREATE TABLE table_28628309_8 (games_played VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 41, 7261, 7, 834, 4895, 15, 26, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2616, 16, 1031...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1031, 834, 4895, 15, 26, 21680, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 549, 17444, 427, 1959, 3274, 96, 683, 603, 2258, 901, 9, 11057, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the team when player is listed as Ronjay Buenafe?
SELECT team FROM table_28628309_8 WHERE player = "Ronjay Buenafe"
CREATE TABLE table_28628309_8 (team VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 41, 11650, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 372, 116, 1959, 19, 2616, 38, 10297, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 372, 21680, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 549, 17444, 427, 1959, 3274, 96, 448, 106, 1191, 63, 4708, 35, 9, 89, 15, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the name of the player when the category is listed as field goal percentage?
SELECT player FROM table_28628309_8 WHERE category = "Field goal percentage"
CREATE TABLE table_28628309_8 (player VARCHAR, category VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 41, 20846, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 1959, 116, 8, 3295, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 549, 17444, 427, 3295, 3274, 96, 3183, 8804, 1288, 5294, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the games played when the category is points per game?
SELECT MIN(games_played) FROM table_28628309_8 WHERE category = "Points per game"
CREATE TABLE table_28628309_8 (games_played INTEGER, category VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 41, 7261, 7, 834, 4895, 15, 26, 3, 21342, 17966, 6, 3295, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1031, 1944, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 7261, 7, 834, 4895, 15, 26, 61, 21680, 953, 834, 2577, 4056, 4591, 4198, 834, 927, 549, 17444, 427, 3295, 3274, 96, 22512, 7, 399, 467, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Who is the player when the category is steals per game?
SELECT player FROM table_28628309_9 WHERE category = "Steals per game"
CREATE TABLE table_28628309_9 (player VARCHAR, category VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 1298, 41, 20846, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 8, 1959, 116, 8, 3295, 19, 11332, 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, 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, 2577, 4056, 4591, 4198, 834, 1298, 549, 17444, 427, 3295, 3274, 96, 14337, 5405, 399, 467, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What are the names of the categories when the player is olsen racela?
SELECT category FROM table_28628309_9 WHERE player = "Olsen Racela"
CREATE TABLE table_28628309_9 (category VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 1298, 41, 8367, 839, 651, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 3056, 13, 8, 5897, 116, 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, 3295, 21680, 953, 834, 2577, 4056, 4591, 4198, 834, 1298, 549, 17444, 427, 1959, 3274, 96, 667, 40, 7, 35, 10949, 521, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many times is a total listed when the player is Jay Washington?
SELECT COUNT(totals) FROM table_28628309_9 WHERE player = "Jay Washington"
CREATE TABLE table_28628309_9 (totals VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 1298, 41, 235, 1947, 7, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 648, 19, 3, 9, 792, 2616, 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, 2847, 17161, 599, 235, 1947, 7, 61, 21680, 953, 834, 2577, 4056, 4591, 4198, 834, 1298, 549, 17444, 427, 1959, 3274, 96, 683, 9, 63, 2386, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the total listed when the average is 0.667 and the category is 3-pt field goal percentage?
SELECT totals FROM table_28628309_9 WHERE average = "0.667" AND category = "3-pt field goal percentage"
CREATE TABLE table_28628309_9 (totals VARCHAR, average VARCHAR, category VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 1298, 41, 235, 1947, 7, 584, 4280, 28027, 6, 1348, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 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, 1, 1, 0...
[ 3, 23143, 14196, 792, 7, 21680, 953, 834, 2577, 4056, 4591, 4198, 834, 1298, 549, 17444, 427, 1348, 3274, 96, 22787, 3708, 121, 3430, 3295, 3274, 96, 519, 18, 102, 17, 1057, 1288, 5294, 121, 1, -100, -100, -100, -100, -100, -100, -1...
What is the name of the player when the category is 3-pt field goal percentage?
SELECT player FROM table_28628309_9 WHERE category = "3-pt field goal percentage"
CREATE TABLE table_28628309_9 (player VARCHAR, category VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4056, 4591, 4198, 834, 1298, 41, 20846, 584, 4280, 28027, 6, 3295, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 1959, 116, 8, 3295, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 1959, 21680, 953, 834, 2577, 4056, 4591, 4198, 834, 1298, 549, 17444, 427, 3295, 3274, 96, 519, 18, 102, 17, 1057, 1288, 5294, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What are the titles of episodes with 5.66 million US viewers?
SELECT title FROM table_2866514_1 WHERE us_viewers__million_ = "5.66"
CREATE TABLE table_2866514_1 (title VARCHAR, us_viewers__million_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 4122, 2534, 834, 536, 41, 21869, 584, 4280, 28027, 6, 178, 834, 4576, 277, 834, 834, 17030, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2233, 21680, 953, 834, 357, 3840, 4122, 2534, 834, 536, 549, 17444, 427, 178, 834, 4576, 277, 834, 834, 17030, 834, 3274, 96, 9125, 3539, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What are the titles of episodes directed by whitney ransick?
SELECT title FROM table_2866514_1 WHERE directed_by = "Whitney Ransick"
CREATE TABLE table_2866514_1 (title VARCHAR, directed_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 4122, 2534, 834, 536, 41, 21869, 584, 4280, 28027, 6, 6640, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 8342, 13, 13562, 6640, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2233, 21680, 953, 834, 357, 3840, 4122, 2534, 834, 536, 549, 17444, 427, 6640, 834, 969, 3274, 96, 518, 10536, 3186, 15039, 7, 3142, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Who wrote the episode with 3.96 million US viewers?
SELECT written_by FROM table_2866514_1 WHERE us_viewers__million_ = "3.96"
CREATE TABLE table_2866514_1 (written_by VARCHAR, us_viewers__million_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 4122, 2534, 834, 536, 41, 14973, 834, 969, 584, 4280, 28027, 6, 178, 834, 4576, 277, 834, 834, 17030, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 264...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1545, 834, 969, 21680, 953, 834, 357, 3840, 4122, 2534, 834, 536, 549, 17444, 427, 178, 834, 4576, 277, 834, 834, 17030, 834, 3274, 96, 5787, 4314, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the maximum value that Christer Tornell gave when Trine Dehli Cleve gave a 9?
SELECT MAX(christer_tornell) FROM table_28677723_8 WHERE trine_dehli_cleve = 9
CREATE TABLE table_28677723_8 (christer_tornell INTEGER, trine_dehli_cleve VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3708, 4013, 2773, 834, 927, 41, 15294, 49, 834, 17, 127, 10361, 3, 21342, 17966, 6, 3, 17, 9249, 834, 221, 107, 40, 23, 834, 2482, 162, 584, 4280, 28027, 61, 3, 321...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 15294, 49, 834, 17, 127, 10361, 61, 21680, 953, 834, 2577, 3708, 4013, 2773, 834, 927, 549, 17444, 427, 3, 17, 9249, 834, 221, 107, 40, 23, 834, 2482, 162, 3274, 668, 1, -100, -100, -100, -100, -100,...
How many games did Robert Peare play?
SELECT MAX(games) FROM table_28693349_2 WHERE player = "Robert Peare"
CREATE TABLE table_28693349_2 (games INTEGER, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3951, 4201, 3647, 834, 357, 41, 7261, 7, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1031, 410, 2715, 1276, 355, 577, 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, 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, 7261, 7, 61, 21680, 953, 834, 2577, 3951, 4201, 3647, 834, 357, 549, 17444, 427, 1959, 3274, 96, 24372, 49, 17, 1276, 355, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many free throws did Charles Pearman score?
SELECT MAX(free_throws) FROM table_28693349_2 WHERE player = "Charles Pearman"
CREATE TABLE table_28693349_2 (free_throws INTEGER, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3951, 4201, 3647, 834, 357, 41, 2113, 834, 189, 3623, 7, 3, 21342, 17966, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 339, 3793, 7, 410, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 2113, 834, 189, 3623, 7, 61, 21680, 953, 834, 2577, 3951, 4201, 3647, 834, 357, 549, 17444, 427, 1959, 3274, 96, 18947, 965, 1276, 291, 348, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
How many shared titles does the club whose last final was 2012 have?
SELECT Shared AS titles FROM table_2869837_1 WHERE last_final = 2012
CREATE TABLE table_2869837_1 (Shared VARCHAR, last_final VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 3916, 4118, 834, 536, 41, 24501, 26, 584, 4280, 28027, 6, 336, 834, 12406, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 2471, 8342, 405, 8, 1886,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7105, 26, 6157, 8342, 21680, 953, 834, 357, 3840, 3916, 4118, 834, 536, 549, 17444, 427, 336, 834, 12406, 3274, 1673, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the year of the last final for the club whose last title was 1990?
SELECT last_final FROM table_2869837_1 WHERE last_title = "1990"
CREATE TABLE table_2869837_1 (last_final VARCHAR, last_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 3916, 4118, 834, 536, 41, 5064, 834, 12406, 584, 4280, 28027, 6, 336, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 215, 13, 8, 33...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 336, 834, 12406, 21680, 953, 834, 357, 3840, 3916, 4118, 834, 536, 549, 17444, 427, 336, 834, 21869, 3274, 96, 2294, 2394, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the minimum number of shared titles for the club whose last final was in 2006?
SELECT MIN(Shared) AS titles FROM table_2869837_1 WHERE last_final = 2006
CREATE TABLE table_2869837_1 (Shared INTEGER, last_final VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 3916, 4118, 834, 536, 41, 24501, 26, 3, 21342, 17966, 6, 336, 834, 12406, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2559, 381, 13, 2471, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 24501, 26, 61, 6157, 8342, 21680, 953, 834, 357, 3840, 3916, 4118, 834, 536, 549, 17444, 427, 336, 834, 12406, 3274, 3581, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the latest year of last final for the club whose last title was in 1994?
SELECT MAX(last_final) FROM table_2869837_1 WHERE last_title = "1994"
CREATE TABLE table_2869837_1 (last_final INTEGER, last_title VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 3916, 4118, 834, 536, 41, 5064, 834, 12406, 3, 21342, 17966, 6, 336, 834, 21869, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1251, 215, 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, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 5064, 834, 12406, 61, 21680, 953, 834, 357, 3840, 3916, 4118, 834, 536, 549, 17444, 427, 336, 834, 21869, 3274, 96, 19479, 20364, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What are the number of runners up for Royal School Dungannon?
SELECT runners_up FROM table_2869837_1 WHERE school = "Royal school Dungannon"
CREATE TABLE table_2869837_1 (runners_up VARCHAR, school VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 3840, 3916, 4118, 834, 536, 41, 10806, 7, 834, 413, 584, 4280, 28027, 6, 496, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 381, 13, 16448, 95, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 16448, 834, 413, 21680, 953, 834, 357, 3840, 3916, 4118, 834, 536, 549, 17444, 427, 496, 3274, 96, 448, 32, 63, 138, 496, 309, 425, 17805, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the track whent the vocal percussionist is unknown?
SELECT track FROM table_28715942_5 WHERE vocal_percussionist = "unknown"
CREATE TABLE table_28715942_5 (track VARCHAR, vocal_percussionist VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4450, 3390, 4165, 834, 755, 41, 11991, 584, 4280, 28027, 6, 6721, 834, 19984, 343, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1463, 116, 17, 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, 1463, 21680, 953, 834, 2577, 4450, 3390, 4165, 834, 755, 549, 17444, 427, 6721, 834, 19984, 343, 3274, 96, 202, 5661, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who is the arranger when the vocal percussionist is Alexei Kalveks and Dave Brennan?
SELECT arranger_s_ FROM table_28715942_5 WHERE vocal_percussionist = "Alexei Kalveks and Dave Brennan"
CREATE TABLE table_28715942_5 (arranger_s_ VARCHAR, vocal_percussionist VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4450, 3390, 4165, 834, 755, 41, 10116, 9369, 834, 7, 834, 584, 4280, 28027, 6, 6721, 834, 19984, 343, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 19, 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, 1, 1, 1...
[ 3, 23143, 14196, 8031, 52, 834, 7, 834, 21680, 953, 834, 2577, 4450, 3390, 4165, 834, 755, 549, 17444, 427, 6721, 834, 19984, 343, 3274, 96, 27280, 15, 23, 5740, 162, 157, 7, 11, 8545, 19538, 152, 121, 1, -100, -100, -100, -100, -...
What is the original artist when the vocal percussionist is Alexei Kalveks?
SELECT original_artist FROM table_28715942_5 WHERE vocal_percussionist = "Alexei Kalveks"
CREATE TABLE table_28715942_5 (original_artist VARCHAR, vocal_percussionist VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4450, 3390, 4165, 834, 755, 41, 21878, 834, 1408, 343, 584, 4280, 28027, 6, 6721, 834, 19984, 343, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 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, 1, 1, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 926, 834, 1408, 343, 21680, 953, 834, 2577, 4450, 3390, 4165, 834, 755, 549, 17444, 427, 6721, 834, 19984, 343, 3274, 96, 27280, 15, 23, 5740, 162, 157, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How few km 2 does the area with Nay Pyi Taw as capital cover?
SELECT MIN(area__km_2__) FROM table_28741_1 WHERE capital = "Nay Pyi Taw"
CREATE TABLE table_28741_1 (area__km_2__ INTEGER, capital VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4581, 536, 834, 536, 41, 498, 834, 834, 5848, 834, 357, 834, 834, 3, 21342, 17966, 6, 1784, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 360, 2280, 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, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 498, 834, 834, 5848, 834, 357, 834, 834, 61, 21680, 953, 834, 2577, 4581, 536, 834, 536, 549, 17444, 427, 1784, 3274, 96, 567, 9, 63, 12901, 23, 2067, 210, 121, 1, -100, -100, -100, -100, -100, -100...
What is the 2012 population of Indonesia?
SELECT population_2012_ FROM table_28741_1 WHERE country = "Indonesia"
CREATE TABLE table_28741_1 (population_2012_ VARCHAR, country VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4581, 536, 834, 536, 41, 9791, 7830, 834, 12172, 834, 584, 4280, 28027, 6, 684, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1673, 2074, 13, 9995, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2074, 834, 12172, 834, 21680, 953, 834, 2577, 4581, 536, 834, 536, 549, 17444, 427, 684, 3274, 96, 1570, 2029, 15, 7, 23, 9, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What are the numbers for GDP (nominal) per capita and USD (2012) of the area with Phnom Penh as capital?
SELECT COUNT(gdp__nominal__per_capita), _usd__2012_ FROM table_28741_1 WHERE capital = "Phnom Penh"
CREATE TABLE table_28741_1 (_usd__2012_ VARCHAR, gdp__nominal__per_capita VARCHAR, capital VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4581, 536, 834, 536, 41, 834, 302, 26, 834, 834, 12172, 834, 584, 4280, 28027, 6, 3, 122, 26, 102, 834, 834, 3114, 10270, 834, 834, 883, 834, 4010, 155, 9, 584, 428...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 122, 26, 102, 834, 834, 3114, 10270, 834, 834, 883, 834, 4010, 155, 9, 201, 3, 834, 302, 26, 834, 834, 12172, 834, 21680, 953, 834, 2577, 4581, 536, 834, 536, 549, 17444, 427, 1784, 3274, 96, 345...
What is the distance of jockey Jason Titley?
SELECT distance FROM table_28750142_1 WHERE jockey = "Jason Titley"
CREATE TABLE table_28750142_1 (distance VARCHAR, jockey VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 9979, 24978, 834, 536, 41, 26, 23, 8389, 584, 4280, 28027, 6, 8624, 4397, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2357, 13, 8624, 4397, 9637, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2357, 21680, 953, 834, 2577, 9979, 24978, 834, 536, 549, 17444, 427, 8624, 4397, 3274, 96, 683, 9, 739, 11029, 63, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the name of the jockey for Pink Gin?
SELECT jockey FROM table_28750142_1 WHERE name = "Pink Gin"
CREATE TABLE table_28750142_1 (jockey VARCHAR, name VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 9979, 24978, 834, 536, 41, 1927, 75, 4397, 584, 4280, 28027, 6, 564, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 8624, 4397, 21, 1207...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 8624, 4397, 21680, 953, 834, 2577, 9979, 24978, 834, 536, 549, 17444, 427, 564, 3274, 96, 345, 6090, 15079, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
The location attendance is ford center 17,021 on what dates?
SELECT date FROM table_28768469_10 WHERE location_attendance = "Ford Center 17,021"
CREATE TABLE table_28768469_10 (date VARCHAR, location_attendance VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3959, 4608, 3951, 834, 1714, 41, 5522, 584, 4280, 28027, 6, 1128, 834, 15116, 663, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 37, 1128, 11364, 19, 21, 26, 153...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 2577, 3959, 4608, 3951, 834, 1714, 549, 17444, 427, 1128, 834, 15116, 663, 3274, 96, 3809, 26, 1166, 12864, 632, 2658, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
In game 73, what were the total number of high assists?
SELECT COUNT(high_assists) FROM table_28768469_10 WHERE game = 73
CREATE TABLE table_28768469_10 (high_assists VARCHAR, game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3959, 4608, 3951, 834, 1714, 41, 6739, 834, 6500, 7, 17, 7, 584, 4280, 28027, 6, 467, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 86, 467, 3, 4552, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 6739, 834, 6500, 7, 17, 7, 61, 21680, 953, 834, 2577, 3959, 4608, 3951, 834, 1714, 549, 17444, 427, 467, 3274, 3, 4552, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the location for the game on October 20 with it's corresponding attendance?
SELECT location_attendance FROM table_28768469_2 WHERE date = "October 20"
CREATE TABLE table_28768469_2 (location_attendance VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3959, 4608, 3951, 834, 357, 41, 14836, 834, 15116, 663, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1128, 21, 8, 467, 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, 1128, 834, 15116, 663, 21680, 953, 834, 2577, 3959, 4608, 3951, 834, 357, 549, 17444, 427, 833, 3274, 96, 28680, 460, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who directed episode 11 of the season?
SELECT director FROM table_28785738_1 WHERE no_in_season = 11
CREATE TABLE table_28785738_1 (director VARCHAR, no_in_season VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 3940, 3436, 3747, 834, 536, 41, 25982, 584, 4280, 28027, 6, 150, 834, 77, 834, 9476, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 6640, 5640, 850, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2090, 21680, 953, 834, 2577, 3940, 3436, 3747, 834, 536, 549, 17444, 427, 150, 834, 77, 834, 9476, 3274, 850, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many episode titles does episode 19 in the season have?
SELECT COUNT(title) FROM table_28802668_3 WHERE no_in_season = 19
CREATE TABLE table_28802668_3 (title VARCHAR, no_in_season VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2079, 2688, 3651, 834, 519, 41, 21869, 584, 4280, 28027, 6, 150, 834, 77, 834, 9476, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 5640, 8342, 405, 564...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 21869, 61, 21680, 953, 834, 2577, 2079, 2688, 3651, 834, 519, 549, 17444, 427, 150, 834, 77, 834, 9476, 3274, 957, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
if the bbi is 4/39 what is the average
SELECT average FROM table_28798161_3 WHERE bbi = "4/39"
CREATE TABLE table_28798161_3 (average VARCHAR, bbi VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4440, 4959, 4241, 834, 519, 41, 28951, 584, 4280, 28027, 6, 3, 115, 115, 23, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3, 99, 8, 3, 115, 115, 23, 19, 314...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1348, 21680, 953, 834, 2577, 4440, 4959, 4241, 834, 519, 549, 17444, 427, 3, 115, 115, 23, 3274, 96, 591, 87, 3288, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
if the economy is 3.63 what is the bbi
SELECT bbi FROM table_28798161_3 WHERE economy = "3.63"
CREATE TABLE table_28798161_3 (bbi VARCHAR, economy VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4440, 4959, 4241, 834, 519, 41, 115, 115, 23, 584, 4280, 28027, 6, 2717, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 3, 99, 8, 2717, 19, 1877, 3891, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 115, 115, 23, 21680, 953, 834, 2577, 4440, 4959, 4241, 834, 519, 549, 17444, 427, 2717, 3274, 96, 23074, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
in the leage what was the minimum 4wi
SELECT MIN(4 AS wi) FROM table_28798161_3
CREATE TABLE table_28798161_3 (Id VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 4440, 4959, 4241, 834, 519, 41, 196, 26, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 16, 8, 90, 545, 125, 47, 8, 2559, 314, 210, 23, 1, 0, 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, 3, 17684, 599, 591, 6157, 11064, 61, 21680, 953, 834, 2577, 4440, 4959, 4241, 834, 519, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the poor law union on Marshalstown?
SELECT poor_law_union FROM table_28802165_1 WHERE townland = "Marshalstown"
CREATE TABLE table_28802165_1 (poor_law_union VARCHAR, townland VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2079, 2658, 4122, 834, 536, 41, 18450, 52, 834, 4207, 834, 16598, 584, 4280, 28027, 6, 1511, 40, 232, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2714, 834, 4207, 834, 16598, 21680, 953, 834, 2577, 2079, 2658, 4122, 834, 536, 549, 17444, 427, 1511, 40, 232, 3274, 96, 7286, 7, 3828, 7, 3540, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the maximum acres in Castledermot?
SELECT MAX(s_acre) FROM table_28802165_1 WHERE civil_parish = "Castledermot"
CREATE TABLE table_28802165_1 (s_acre INTEGER, civil_parish VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2079, 2658, 4122, 834, 536, 41, 7, 834, 10610, 3, 21342, 17966, 6, 3095, 834, 1893, 1273, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2411, 9704, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4800, 4, 599, 7, 834, 10610, 61, 21680, 953, 834, 2577, 2079, 2658, 4122, 834, 536, 549, 17444, 427, 3095, 834, 1893, 1273, 3274, 96, 254, 9, 7, 17, 1361, 49, 8888, 121, 1, -100, -100, -100, -100, -100, -100, -100...
What is the civil parish of Aghafullim?
SELECT civil_parish FROM table_28802165_1 WHERE townland = "Aghafullim"
CREATE TABLE table_28802165_1 (civil_parish VARCHAR, townland VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2079, 2658, 4122, 834, 536, 41, 27981, 173, 834, 1893, 1273, 584, 4280, 28027, 6, 1511, 40, 232, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 3095, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3095, 834, 1893, 1273, 21680, 953, 834, 2577, 2079, 2658, 4122, 834, 536, 549, 17444, 427, 1511, 40, 232, 3274, 96, 188, 122, 1024, 1329, 4941, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many acres is the townland of Maddenstown Middle?
SELECT s_acre FROM table_28802165_1 WHERE townland = "Maddenstown Middle"
CREATE TABLE table_28802165_1 (s_acre VARCHAR, townland VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 2079, 2658, 4122, 834, 536, 41, 7, 834, 10610, 584, 4280, 28027, 6, 1511, 40, 232, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 9704, 19, 8, 1511, 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, 3, 7, 834, 10610, 21680, 953, 834, 2577, 2079, 2658, 4122, 834, 536, 549, 17444, 427, 1511, 40, 232, 3274, 96, 329, 13039, 35, 7, 3540, 4551, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many original air dates did the episode directed by Bethany rooney have?
SELECT COUNT(original_air_date) FROM table_28859177_3 WHERE directed_by = "Bethany Rooney"
CREATE TABLE table_28859177_3 (original_air_date VARCHAR, directed_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4060, 3390, 26793, 834, 519, 41, 21878, 834, 2256, 834, 5522, 584, 4280, 28027, 6, 6640, 834, 969, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 926, 79...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 21878, 834, 2256, 834, 5522, 61, 21680, 953, 834, 357, 4060, 3390, 26793, 834, 519, 549, 17444, 427, 6640, 834, 969, 3274, 96, 2703, 6736, 63, 391, 27207, 121, 1, -100, -100, -100, -100, -100, -100, ...
What is the production code for the episode that aired on October 15, 2004?
SELECT production_code FROM table_28859177_3 WHERE original_air_date = "October 15, 2004"
CREATE TABLE table_28859177_3 (production_code VARCHAR, original_air_date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4060, 3390, 26793, 834, 519, 41, 20762, 834, 4978, 584, 4280, 28027, 6, 926, 834, 2256, 834, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 999, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 999, 834, 4978, 21680, 953, 834, 357, 4060, 3390, 26793, 834, 519, 549, 17444, 427, 926, 834, 2256, 834, 5522, 3274, 96, 28680, 10725, 4406, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the original air date for episode graeme clifford directed and lindsay sturman wrote?
SELECT original_air_date FROM table_28859177_3 WHERE directed_by = "Graeme Clifford" AND written_by = "Lindsay Sturman"
CREATE TABLE table_28859177_3 (original_air_date VARCHAR, directed_by VARCHAR, written_by VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 357, 4060, 3390, 26793, 834, 519, 41, 21878, 834, 2256, 834, 5522, 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, 926, 834, 2256, 834, 5522, 21680, 953, 834, 357, 4060, 3390, 26793, 834, 519, 549, 17444, 427, 6640, 834, 969, 3274, 96, 4744, 15, 526, 22352, 127, 26, 121, 3430, 1545, 834, 969, 3274, 96, 434, 77, 26, 8735, 472, ...
Who was the player that was picked by Los Angeles Kings?
SELECT player FROM table_2886617_6 WHERE nhl_team = "Los Angeles Kings"
CREATE TABLE table_2886617_6 (player VARCHAR, nhl_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 26750, 2517, 834, 948, 41, 20846, 584, 4280, 28027, 6, 3, 29, 107, 40, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 1959, 24, 47, 475...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1959, 21680, 953, 834, 2577, 26750, 2517, 834, 948, 549, 17444, 427, 3, 29, 107, 40, 834, 11650, 3274, 96, 434, 32, 7, 4975, 13913, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What nationality was peter slamiar?
SELECT nationality FROM table_2886617_6 WHERE player = "Peter Slamiar"
CREATE TABLE table_2886617_6 (nationality VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 26750, 2517, 834, 948, 41, 16557, 485, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 1157, 485, 47, 158, 449, 3, 7, 40, 3690, 2...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1157, 485, 21680, 953, 834, 2577, 26750, 2517, 834, 948, 549, 17444, 427, 1959, 3274, 96, 345, 15, 449, 29291, 23, 291, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What team did the New York Rangers recruit a player from?
SELECT college_junior_club_team FROM table_2886617_4 WHERE nhl_team = "New York Rangers"
CREATE TABLE table_2886617_4 (college_junior_club_team VARCHAR, nhl_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 26750, 2517, 834, 591, 41, 3297, 7883, 834, 6959, 23, 127, 834, 13442, 834, 11650, 584, 4280, 28027, 6, 3, 29, 107, 40, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 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, 1, 0, 0, 0, 0...
[ 3, 23143, 14196, 1900, 834, 6959, 23, 127, 834, 13442, 834, 11650, 21680, 953, 834, 2577, 26750, 2517, 834, 591, 549, 17444, 427, 3, 29, 107, 40, 834, 11650, 3274, 96, 6861, 1060, 12612, 277, 121, 1, -100, -100, -100, -100, -100, -1...
How many countries had players named Marc Savard get picked?
SELECT COUNT(nationality) FROM table_2886617_4 WHERE player = "Marc Savard"
CREATE TABLE table_2886617_4 (nationality VARCHAR, player VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 26750, 2517, 834, 591, 41, 16557, 485, 584, 4280, 28027, 6, 1959, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 1440, 141, 1508, 2650, 10290, 1138, 4331,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 16557, 485, 61, 21680, 953, 834, 2577, 26750, 2517, 834, 591, 549, 17444, 427, 1959, 3274, 96, 7286, 75, 1138, 4331, 26, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What country does the player who joined the Vancouver Canucks originally hail from?
SELECT nationality FROM table_2886617_4 WHERE nhl_team = "Vancouver Canucks"
CREATE TABLE table_2886617_4 (nationality VARCHAR, nhl_team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2577, 26750, 2517, 834, 591, 41, 16557, 485, 584, 4280, 28027, 6, 3, 29, 107, 40, 834, 11650, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 684, 405, 8, 1959, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1157, 485, 21680, 953, 834, 2577, 26750, 2517, 834, 591, 549, 17444, 427, 3, 29, 107, 40, 834, 11650, 3274, 96, 553, 152, 3422, 624, 1072, 4636, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...