NATURAL_LANG
stringlengths
12
244
SQL
stringlengths
18
336
SCHEMA
stringlengths
27
355
input_ids
list
attention_mask
list
labels
list
How many values for earpads correspond to the headphone class Prestige and a US MSRP of $79?
SELECT COUNT(earpads) FROM table_1601027_1 WHERE headphone_class = "Prestige" AND us_msrp = "$79"
CREATE TABLE table_1601027_1 (earpads VARCHAR, headphone_class VARCHAR, us_msrp VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 1714, 2555, 834, 536, 41, 2741, 5612, 7, 584, 4280, 28027, 6, 819, 6399, 834, 4057, 584, 4280, 28027, 6, 178, 834, 51, 7, 52, 102, 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, 2847, 17161, 599, 2741, 5612, 7, 61, 21680, 953, 834, 19129, 1714, 2555, 834, 536, 549, 17444, 427, 819, 6399, 834, 4057, 3274, 96, 10572, 7, 9134, 121, 3430, 178, 834, 51, 7, 52, 102, 3274, 96, 3229, 4440, 121, 1...
Which headphone models have a driver-matched DB of 0.1 and a US MSRP of $49?
SELECT headphone_model FROM table_1601027_1 WHERE driver_matched_db = "0.1" AND us_msrp = "$49"
CREATE TABLE table_1601027_1 (headphone_model VARCHAR, driver_matched_db VARCHAR, us_msrp VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 1714, 2555, 834, 536, 41, 3313, 6399, 834, 21770, 584, 4280, 28027, 6, 2535, 834, 10304, 834, 26, 115, 584, 4280, 28027, 6, 178, 834, 51, 7, 52, 102, 584, 4280, 2802...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 819, 6399, 834, 21770, 21680, 953, 834, 19129, 1714, 2555, 834, 536, 549, 17444, 427, 2535, 834, 10304, 834, 26, 115, 3274, 96, 16029, 121, 3430, 178, 834, 51, 7, 52, 102, 3274, 96, 3229, 3647, 121, 1, -100, -100, ...
Which terminations correspond with headphone model SR80I?
SELECT termination FROM table_1601027_1 WHERE headphone_model = "SR80i"
CREATE TABLE table_1601027_1 (termination VARCHAR, headphone_model VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 1714, 2555, 834, 536, 41, 6544, 257, 584, 4280, 28027, 6, 819, 6399, 834, 21770, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 18739, 7, 10423, 28, 819, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 18739, 21680, 953, 834, 19129, 1714, 2555, 834, 536, 549, 17444, 427, 819, 6399, 834, 21770, 3274, 96, 6857, 2079, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What type are State Assemblyman
SELECT type FROM table_1602620_1 WHERE office = "State Assemblyman"
CREATE TABLE table_1602620_1 (type VARCHAR, office VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2688, 1755, 834, 536, 41, 6137, 584, 4280, 28027, 6, 828, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 686, 33, 1015, 11993, 348, 1, 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, 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...
[ 3, 23143, 14196, 686, 21680, 953, 834, 19129, 2688, 1755, 834, 536, 549, 17444, 427, 828, 3274, 96, 134, 4748, 11993, 348, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What type had a beginning term of December 8, 1980
SELECT type FROM table_1602620_1 WHERE term_began = "December 8, 1980"
CREATE TABLE table_1602620_1 (type VARCHAR, term_began VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2688, 1755, 834, 536, 41, 6137, 584, 4280, 28027, 6, 1657, 834, 346, 2565, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 686, 141, 3, 9, 1849, 1657, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 686, 21680, 953, 834, 19129, 2688, 1755, 834, 536, 549, 17444, 427, 1657, 834, 346, 2565, 3274, 96, 29835, 9478, 6694, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What type had an election day in 1980
SELECT type FROM table_1602620_1 WHERE elected = 1980
CREATE TABLE table_1602620_1 (type VARCHAR, elected VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2688, 1755, 834, 536, 41, 6137, 584, 4280, 28027, 6, 8160, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 686, 141, 46, 4356, 239, 16, 6694, 1, 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, 686, 21680, 953, 834, 19129, 2688, 1755, 834, 536, 549, 17444, 427, 8160, 3274, 6694, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What year did the term end for those elected in 1990
SELECT term_ended FROM table_1602620_1 WHERE elected = 1990
CREATE TABLE table_1602620_1 (term_ended VARCHAR, elected VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2688, 1755, 834, 536, 41, 1987, 834, 14550, 584, 4280, 28027, 6, 8160, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 215, 410, 8, 1657, 414, 21, 273, 8160,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1657, 834, 14550, 21680, 953, 834, 19129, 2688, 1755, 834, 536, 549, 17444, 427, 8160, 3274, 5541, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the location for the office whose term ended December 2, 1976
SELECT location FROM table_1602620_1 WHERE term_ended = "December 2, 1976"
CREATE TABLE table_1602620_1 (location VARCHAR, term_ended VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2688, 1755, 834, 536, 41, 14836, 584, 4280, 28027, 6, 1657, 834, 14550, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 1128, 21, 8, 828, 3, 2544, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 21680, 953, 834, 19129, 2688, 1755, 834, 536, 549, 17444, 427, 1657, 834, 14550, 3274, 96, 29835, 3547, 16164, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What year did the term end for the office elected in 1984
SELECT term_ended FROM table_1602620_1 WHERE elected = 1984
CREATE TABLE table_1602620_1 (term_ended VARCHAR, elected VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2688, 1755, 834, 536, 41, 1987, 834, 14550, 584, 4280, 28027, 6, 8160, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 215, 410, 8, 1657, 414, 21, 8, 828, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1657, 834, 14550, 21680, 953, 834, 19129, 2688, 1755, 834, 536, 549, 17444, 427, 8160, 3274, 13480, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What was the record on October 8, 1989?
SELECT record FROM table_16028499_2 WHERE date = "October 8, 1989"
CREATE TABLE table_16028499_2 (record VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 357, 4608, 3264, 834, 357, 41, 60, 7621, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 1368, 30, 1797, 9478, 9975, 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, 1368, 21680, 953, 834, 19129, 357, 4608, 3264, 834, 357, 549, 17444, 427, 833, 3274, 96, 28680, 9478, 9975, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Where was the game site on October 29, 1989?
SELECT game_site FROM table_16028499_2 WHERE date = "October 29, 1989"
CREATE TABLE table_16028499_2 (game_site VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 357, 4608, 3264, 834, 357, 41, 7261, 834, 3585, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 47, 8, 467, 353, 30, 1797, 14405, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 467, 834, 3585, 21680, 953, 834, 19129, 357, 4608, 3264, 834, 357, 549, 17444, 427, 833, 3274, 96, 28680, 14405, 9975, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the minimum attendance against the New Orleans Saints?
SELECT MIN(attendance) FROM table_16028499_2 WHERE opponent = "New Orleans Saints"
CREATE TABLE table_16028499_2 (attendance INTEGER, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 357, 4608, 3264, 834, 357, 41, 15116, 663, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2559, 11364, 581, 8, 368, 14433,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 17684, 599, 15116, 663, 61, 21680, 953, 834, 19129, 357, 4608, 3264, 834, 357, 549, 17444, 427, 15264, 3274, 96, 6861, 14433, 2788, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What was the result of week 2?
SELECT result FROM table_16028499_2 WHERE week = 2
CREATE TABLE table_16028499_2 (result VARCHAR, week VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 357, 4608, 3264, 834, 357, 41, 60, 7, 83, 17, 584, 4280, 28027, 6, 471, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 741, 13, 471, 204, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 741, 21680, 953, 834, 19129, 357, 4608, 3264, 834, 357, 549, 17444, 427, 471, 3274, 204, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What date did the team play the New York Jets?
SELECT date FROM table_16028499_2 WHERE opponent = "New York Jets"
CREATE TABLE table_16028499_2 (date VARCHAR, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 357, 4608, 3264, 834, 357, 41, 5522, 584, 4280, 28027, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 833, 410, 8, 372, 577, 8, 368, 1060, 12434, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 833, 21680, 953, 834, 19129, 357, 4608, 3264, 834, 357, 549, 17444, 427, 15264, 3274, 96, 6861, 1060, 12434, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What was the minimum crowd on January 24, 1987?
SELECT MIN(attendance) FROM table_16025095_1 WHERE date = "January 24, 1987"
CREATE TABLE table_16025095_1 (attendance INTEGER, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 11434, 3301, 834, 536, 41, 15116, 663, 3, 21342, 17966, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2559, 4374, 30, 1762, 14320, 12701, 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, 17684, 599, 15116, 663, 61, 21680, 953, 834, 19129, 11434, 3301, 834, 536, 549, 17444, 427, 833, 3274, 96, 30404, 14320, 12701, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many millions of viewers were there for the episode with a run time of 18:00?
SELECT viewers__in_millions_ FROM table_1601935_1 WHERE run_time = "18:00"
CREATE TABLE table_1601935_1 (viewers__in_millions_ VARCHAR, run_time VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2294, 2469, 834, 536, 41, 4576, 277, 834, 834, 77, 834, 17030, 7, 834, 584, 4280, 28027, 6, 661, 834, 715, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13569, 834, 834, 77, 834, 17030, 7, 834, 21680, 953, 834, 19129, 2294, 2469, 834, 536, 549, 17444, 427, 661, 834, 715, 3274, 96, 536, 15692, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What was the archive for episode with 6.6 million viewers?
SELECT archive FROM table_1601935_1 WHERE viewers__in_millions_ = "6.6"
CREATE TABLE table_1601935_1 (archive VARCHAR, viewers__in_millions_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2294, 2469, 834, 536, 41, 15917, 15, 584, 4280, 28027, 6, 13569, 834, 834, 77, 834, 17030, 7, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 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, 0...
[ 3, 23143, 14196, 13269, 21680, 953, 834, 19129, 2294, 2469, 834, 536, 549, 17444, 427, 13569, 834, 834, 77, 834, 17030, 7, 834, 3274, 96, 28833, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
When is the latest game the bills had 21 first downs
SELECT MIN(game) FROM table_16028459_2 WHERE bills_first_downs = 21
CREATE TABLE table_16028459_2 (game INTEGER, bills_first_downs VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 357, 4608, 3390, 834, 357, 41, 7261, 3, 21342, 17966, 6, 7200, 834, 14672, 834, 3035, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 19, 8, 1251, 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, 1, 1, 1, 1, 1, 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, 19129, 357, 4608, 3390, 834, 357, 549, 17444, 427, 7200, 834, 14672, 834, 3035, 7, 3274, 1401, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
How many first downs did the bills have when their opponent had 6
SELECT MIN(bills_first_downs) FROM table_16028459_2 WHERE opponents = 6
CREATE TABLE table_16028459_2 (bills_first_downs INTEGER, opponents VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 357, 4608, 3390, 834, 357, 41, 3727, 40, 7, 834, 14672, 834, 3035, 7, 3, 21342, 17966, 6, 16383, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 166, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17684, 599, 3727, 40, 7, 834, 14672, 834, 3035, 7, 61, 21680, 953, 834, 19129, 357, 4608, 3390, 834, 357, 549, 17444, 427, 16383, 3274, 431, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many points did the bills score when their opponent had 14
SELECT bills_points FROM table_16028459_2 WHERE opponents = 14
CREATE TABLE table_16028459_2 (bills_points VARCHAR, opponents VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 357, 4608, 3390, 834, 357, 41, 3727, 40, 7, 834, 2700, 7, 584, 4280, 28027, 6, 16383, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 979, 410, 8, 720...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7200, 834, 2700, 7, 21680, 953, 834, 19129, 357, 4608, 3390, 834, 357, 549, 17444, 427, 16383, 3274, 968, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the minimum number of points given up to the Baltimore Colts
SELECT MIN(opponents) FROM table_16028459_2 WHERE opponent = "Baltimore Colts"
CREATE TABLE table_16028459_2 (opponents INTEGER, opponent VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 357, 4608, 3390, 834, 357, 41, 32, 102, 9977, 7, 3, 21342, 17966, 6, 15264, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2559, 381, 13, 979, 787,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 32, 102, 9977, 7, 61, 21680, 953, 834, 19129, 357, 4608, 3390, 834, 357, 549, 17444, 427, 15264, 3274, 96, 279, 2920, 23, 3706, 3043, 17, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -...
Who was the runner-up in the Memorial Tournament?
SELECT runner_s__up FROM table_1602858_1 WHERE tournament = "Memorial tournament"
CREATE TABLE table_1602858_1 (runner_s__up VARCHAR, tournament VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2577, 3449, 834, 536, 41, 10806, 834, 7, 834, 834, 413, 584, 4280, 28027, 6, 5892, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 3, 10806, 18, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 10806, 834, 7, 834, 834, 413, 21680, 953, 834, 19129, 2577, 3449, 834, 536, 549, 17444, 427, 5892, 3274, 96, 329, 15, 51, 11929, 5892, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the winning score for the tournament with runner-up Rory Sabbatini?
SELECT winning_score FROM table_1602858_1 WHERE runner_s__up = "Rory Sabbatini"
CREATE TABLE table_1602858_1 (winning_score VARCHAR, runner_s__up VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2577, 3449, 834, 536, 41, 8163, 834, 7, 9022, 584, 4280, 28027, 6, 3, 10806, 834, 7, 834, 834, 413, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 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, 3447, 834, 7, 9022, 21680, 953, 834, 19129, 2577, 3449, 834, 536, 549, 17444, 427, 3, 10806, 834, 7, 834, 834, 413, 3274, 96, 448, 127, 63, 11315, 3697, 77, 23, 121, 1, -100, -100, -100, -100, -100, -100, -100, -1...
What was the margin of victory with the winning score "63-68-68-68=267"?
SELECT margin_of_victory FROM table_1602858_1 WHERE winning_score = 63 - 68 - 68 - 68 = 267
CREATE TABLE table_1602858_1 (margin_of_victory VARCHAR, winning_score VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2577, 3449, 834, 536, 41, 1635, 122, 77, 834, 858, 834, 7287, 10972, 584, 4280, 28027, 6, 3447, 834, 7, 9022, 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, 6346, 834, 858, 834, 7287, 10972, 21680, 953, 834, 19129, 2577, 3449, 834, 536, 549, 17444, 427, 3447, 834, 7, 9022, 3274, 3, 3891, 3, 18, 3, 3651, 3, 18, 3, 3651, 3, 18, 3, 3651, 3274, 204, 3708, 1, -100, -100,...
Name the least position
SELECT MIN(position) FROM table_16034882_5
CREATE TABLE table_16034882_5 (position INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3710, 4060, 357, 834, 755, 41, 4718, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 709, 1102, 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, 4718, 61, 21680, 953, 834, 19129, 3710, 4060, 357, 834, 755, 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 most goals scored for position 4
SELECT MAX(goals_scored) FROM table_16034882_5 WHERE position = 4
CREATE TABLE table_16034882_5 (goals_scored INTEGER, position VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3710, 4060, 357, 834, 755, 41, 839, 5405, 834, 3523, 1271, 3, 21342, 17966, 6, 1102, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 167, 1766, 5799, 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, 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, 839, 5405, 834, 3523, 1271, 61, 21680, 953, 834, 19129, 3710, 4060, 357, 834, 755, 549, 17444, 427, 1102, 3274, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the name of the bowl game that was played in Tempe, Arizona?
SELECT bowl_game FROM table_16046689_29 WHERE city = "Tempe, Arizona"
CREATE TABLE table_16046689_29 (bowl_game VARCHAR, city VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 591, 3539, 3914, 834, 3166, 41, 17710, 40, 834, 7261, 584, 4280, 28027, 6, 690, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 564, 13, 8, 3047, 46...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3047, 834, 7261, 21680, 953, 834, 19129, 591, 3539, 3914, 834, 3166, 549, 17444, 427, 690, 3274, 96, 15291, 15, 6, 7601, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What city in the Citrus Bowl aired on ABC?
SELECT city FROM table_16046689_29 WHERE stadium = "Citrus Bowl" AND television = "ABC"
CREATE TABLE table_16046689_29 (city VARCHAR, stadium VARCHAR, television VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 591, 3539, 3914, 834, 3166, 41, 6726, 584, 4280, 28027, 6, 14939, 584, 4280, 28027, 6, 4390, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 690, 16, 8, 1122...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 690, 21680, 953, 834, 19129, 591, 3539, 3914, 834, 3166, 549, 17444, 427, 14939, 3274, 96, 254, 155, 4502, 9713, 121, 3430, 4390, 3274, 96, 5359, 254, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What teams played in the Capital One bowl game on January 1, 2009?
SELECT conference_matchups FROM table_16046689_29 WHERE date = "January 1, 2009" AND bowl_game = "Capital One"
CREATE TABLE table_16046689_29 (conference_matchups VARCHAR, date VARCHAR, bowl_game VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 591, 3539, 3914, 834, 3166, 41, 28496, 834, 19515, 413, 7, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 6, 3047, 834, 7261, 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, 1, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2542, 834, 19515, 413, 7, 21680, 953, 834, 19129, 591, 3539, 3914, 834, 3166, 549, 17444, 427, 833, 3274, 96, 30404, 1914, 2464, 121, 3430, 3047, 834, 7261, 3274, 96, 19566, 9538, 555, 121, 1, -100, -100, -100, -100, ...
Which stadium has a payout of $3 million?
SELECT stadium FROM table_16046689_29 WHERE payout___us$__ = "$3 Million"
CREATE TABLE table_16046689_29 (stadium VARCHAR, payout___us$__ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 591, 3539, 3914, 834, 3166, 41, 2427, 12925, 584, 4280, 28027, 6, 21541, 834, 834, 834, 302, 3229, 834, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 14939, 21680, 953, 834, 19129, 591, 3539, 3914, 834, 3166, 549, 17444, 427, 21541, 834, 834, 834, 302, 3229, 834, 834, 3274, 96, 3229, 519, 14625, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the largest population in regions where the average family size is 2.8 people?
SELECT MAX(number_of_people) FROM table_16048129_5 WHERE average_family_size = "2.8"
CREATE TABLE table_16048129_5 (number_of_people INTEGER, average_family_size VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3707, 22174, 834, 755, 41, 5525, 1152, 834, 858, 834, 16588, 3, 21342, 17966, 6, 1348, 834, 15474, 834, 7991, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 4800, 4, 599, 5525, 1152, 834, 858, 834, 16588, 61, 21680, 953, 834, 19129, 3707, 22174, 834, 755, 549, 17444, 427, 1348, 834, 15474, 834, 7991, 3274, 96, 19419, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the total number of regions where the average family size is 2.8?
SELECT COUNT(_percentage_of_total_deportees) FROM table_16048129_5 WHERE average_family_size = "2.8"
CREATE TABLE table_16048129_5 (_percentage_of_total_deportees VARCHAR, average_family_size VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3707, 22174, 834, 755, 41, 834, 883, 3728, 545, 834, 858, 834, 235, 1947, 834, 221, 1493, 15, 15, 7, 584, 4280, 28027, 6, 1348, 834, 15474, 834, 7991, 584, 4280, 280...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 834, 883, 3728, 545, 834, 858, 834, 235, 1947, 834, 221, 1493, 15, 15, 7, 61, 21680, 953, 834, 19129, 3707, 22174, 834, 755, 549, 17444, 427, 1348, 834, 15474, 834, 7991, 3274, 96, 19419, 121, 1, ...
What regions of the USSR have a percentage of deportees of 10.6?
SELECT region_of_ussr FROM table_16048129_5 WHERE _percentage_of_total_deportees = "10.6"
CREATE TABLE table_16048129_5 (region_of_ussr VARCHAR, _percentage_of_total_deportees VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3707, 22174, 834, 755, 41, 18145, 834, 858, 834, 302, 7, 52, 584, 4280, 28027, 6, 3, 834, 883, 3728, 545, 834, 858, 834, 235, 1947, 834, 221, 1493, 15, 15, 7, 584,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1719, 834, 858, 834, 302, 7, 52, 21680, 953, 834, 19129, 3707, 22174, 834, 755, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 858, 834, 235, 1947, 834, 221, 1493, 15, 15, 7, 3274, 96, 10415, 948, 121, 1, -100, -...
What is the most number of families in regions where average family size is 2.7?
SELECT MAX(number_of_families) FROM table_16048129_5 WHERE average_family_size = "2.7"
CREATE TABLE table_16048129_5 (number_of_families INTEGER, average_family_size VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3707, 22174, 834, 755, 41, 5525, 1152, 834, 858, 834, 89, 3690, 4664, 3, 21342, 17966, 6, 1348, 834, 15474, 834, 7991, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 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, 4800, 4, 599, 5525, 1152, 834, 858, 834, 89, 3690, 4664, 61, 21680, 953, 834, 19129, 3707, 22174, 834, 755, 549, 17444, 427, 1348, 834, 15474, 834, 7991, 3274, 96, 21280, 121, 1, -100, -100, -100, -100, -100, -100, ...
How many total families are there in regions with 5.8 percent of the population being made up of deportees?
SELECT COUNT(number_of_families) FROM table_16048129_5 WHERE _percentage_of_total_deportees = "5.8"
CREATE TABLE table_16048129_5 (number_of_families VARCHAR, _percentage_of_total_deportees VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3707, 22174, 834, 755, 41, 5525, 1152, 834, 858, 834, 89, 3690, 4664, 584, 4280, 28027, 6, 3, 834, 883, 3728, 545, 834, 858, 834, 235, 1947, 834, 221, 1493, 15, 15, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5525, 1152, 834, 858, 834, 89, 3690, 4664, 61, 21680, 953, 834, 19129, 3707, 22174, 834, 755, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 858, 834, 235, 1947, 834, 221, 1493, 15, 15, 7, 3274, 9...
What is the most number of families among regions where the population is made up of 5.8% deportees?
SELECT MAX(number_of_families) FROM table_16048129_5 WHERE _percentage_of_total_deportees = "5.8"
CREATE TABLE table_16048129_5 (number_of_families INTEGER, _percentage_of_total_deportees VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3707, 22174, 834, 755, 41, 5525, 1152, 834, 858, 834, 89, 3690, 4664, 3, 21342, 17966, 6, 3, 834, 883, 3728, 545, 834, 858, 834, 235, 1947, 834, 221, 1493, 15, 15, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 5525, 1152, 834, 858, 834, 89, 3690, 4664, 61, 21680, 953, 834, 19129, 3707, 22174, 834, 755, 549, 17444, 427, 3, 834, 883, 3728, 545, 834, 858, 834, 235, 1947, 834, 221, 1493, 15, 15, 7, 3274, 96, ...
Which operator runs the Mamariga shuttle line?
SELECT operator FROM table_1603807_2 WHERE line = "Mamariga Shuttle"
CREATE TABLE table_1603807_2 (operator VARCHAR, line VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3747, 4560, 834, 357, 41, 32, 883, 1016, 584, 4280, 28027, 6, 689, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 7221, 3154, 8, 14200, 3380, 9, 19317, 689...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7221, 21680, 953, 834, 19129, 3747, 4560, 834, 357, 549, 17444, 427, 689, 3274, 96, 329, 9, 1635, 12581, 28099, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
How many lengths of line 3 are given?
SELECT COUNT(length) FROM table_1603807_2 WHERE line = "line 3"
CREATE TABLE table_1603807_2 (length VARCHAR, line VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3747, 4560, 834, 357, 41, 19457, 584, 4280, 28027, 6, 689, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 2475, 7, 13, 689, 220, 33, 787, 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, 19457, 61, 21680, 953, 834, 19129, 3747, 4560, 834, 357, 549, 17444, 427, 689, 3274, 96, 747, 220, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What are the terminals for line 2?
SELECT terminals FROM table_1603807_2 WHERE line = "line 2"
CREATE TABLE table_1603807_2 (terminals VARCHAR, line VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3747, 4560, 834, 357, 41, 6544, 5405, 584, 4280, 28027, 6, 689, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 7213, 7, 21, 689, 204, 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, 7213, 7, 21680, 953, 834, 19129, 3747, 4560, 834, 357, 549, 17444, 427, 689, 3274, 96, 747, 204, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
What is the status of the airport line?
SELECT status FROM table_1603807_2 WHERE line = "Airport line"
CREATE TABLE table_1603807_2 (status VARCHAR, line VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3747, 4560, 834, 357, 41, 8547, 302, 584, 4280, 28027, 6, 689, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2637, 13, 8, 3761, 689, 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, 2637, 21680, 953, 834, 19129, 3747, 4560, 834, 357, 549, 17444, 427, 689, 3274, 96, 20162, 1493, 689, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
Name the total number of hangul chosongul for 8,352
SELECT COUNT(hangul_chosongul) FROM table_160510_5 WHERE area = "8,352"
CREATE TABLE table_160510_5 (hangul_chosongul VARCHAR, area VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 25926, 834, 755, 41, 9270, 83, 834, 3995, 739, 6106, 584, 4280, 28027, 6, 616, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381, 13, 5168, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 9270, 83, 834, 3995, 739, 6106, 61, 21680, 953, 834, 19129, 25926, 834, 755, 549, 17444, 427, 616, 3274, 96, 11864, 2469, 357, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the iso for chungcheongnam
SELECT iso FROM table_160510_5 WHERE rr_romaja = "Chungcheongnam"
CREATE TABLE table_160510_5 (iso VARCHAR, rr_romaja VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 25926, 834, 755, 41, 159, 32, 584, 4280, 28027, 6, 3, 52, 52, 834, 3522, 9, 1191, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 19, 32, 21, 3, 2313...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 19, 32, 21680, 953, 834, 19129, 25926, 834, 755, 549, 17444, 427, 3, 52, 52, 834, 3522, 9, 1191, 3274, 96, 3541, 425, 1033, 2444, 13363, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the country for 11,891 area
SELECT country FROM table_160510_5 WHERE area = "11,891"
CREATE TABLE table_160510_5 (country VARCHAR, area VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 25926, 834, 755, 41, 17529, 584, 4280, 28027, 6, 616, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 684, 21, 9694, 3914, 536, 616, 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, 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, 684, 21680, 953, 834, 19129, 25926, 834, 755, 549, 17444, 427, 616, 3274, 96, 2596, 6, 3914, 536, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the number of region for 경상남도
SELECT COUNT(region) FROM table_160510_5 WHERE hangul_chosongul = "경상남도"
CREATE TABLE table_160510_5 (region VARCHAR, hangul_chosongul VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 25926, 834, 755, 41, 18145, 584, 4280, 28027, 6, 5168, 83, 834, 3995, 739, 6106, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 381, 13, 1719, 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, 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, 18145, 61, 21680, 953, 834, 19129, 25926, 834, 755, 549, 17444, 427, 5168, 83, 834, 3995, 739, 6106, 3274, 96, 2, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Name the m r romaja for kwanbuk
SELECT m_r_romaja FROM table_160510_5 WHERE region = "Kwanbuk"
CREATE TABLE table_160510_5 (m_r_romaja VARCHAR, region VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 25926, 834, 755, 41, 51, 834, 52, 834, 3522, 9, 1191, 584, 4280, 28027, 6, 1719, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 3, 51, 3, 52, 3, 352...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3, 51, 834, 52, 834, 3522, 9, 1191, 21680, 953, 834, 19129, 25926, 834, 755, 549, 17444, 427, 1719, 3274, 96, 439, 3877, 115, 1598, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Name the population density where population % is 1.1% for slovakia
SELECT pop_density_people_km_2 FROM table_1606824_1 WHERE population__percentage_of_eu = "1.1%" AND member_state = "Slovakia"
CREATE TABLE table_1606824_1 (pop_density_people_km_2 VARCHAR, population__percentage_of_eu VARCHAR, member_state VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3651, 2266, 834, 536, 41, 9791, 834, 537, 7, 485, 834, 16588, 834, 5848, 834, 357, 584, 4280, 28027, 6, 2074, 834, 834, 883, 3728, 545, 834, 858, 834, 15, 76, 584, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2783, 834, 537, 7, 485, 834, 16588, 834, 5848, 834, 357, 21680, 953, 834, 19129, 3651, 2266, 834, 536, 549, 17444, 427, 2074, 834, 834, 883, 3728, 545, 834, 858, 834, 15, 76, 3274, 96, 11039, 1454, 121, 3430, 1144, ...
Name the population density people where population % eu for 1.7%
SELECT COUNT(pop_density_people_km_2) FROM table_1606824_1 WHERE population__percentage_of_eu = "1.7%"
CREATE TABLE table_1606824_1 (pop_density_people_km_2 VARCHAR, population__percentage_of_eu VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3651, 2266, 834, 536, 41, 9791, 834, 537, 7, 485, 834, 16588, 834, 5848, 834, 357, 584, 4280, 28027, 6, 2074, 834, 834, 883, 3728, 545, 834, 858, 834, 15, 76, 584, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9791, 834, 537, 7, 485, 834, 16588, 834, 5848, 834, 7318, 21680, 953, 834, 19129, 3651, 2266, 834, 536, 549, 17444, 427, 2074, 834, 834, 883, 3728, 545, 834, 858, 834, 15, 76, 3274, 96, 18596, 1454...
Name the number of area km 2 for population density is 87
SELECT COUNT(area_km_2) FROM table_1606824_1 WHERE pop_density_people_km_2 = "87"
CREATE TABLE table_1606824_1 (area_km_2 VARCHAR, pop_density_people_km_2 VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3651, 2266, 834, 536, 41, 498, 834, 5848, 834, 357, 584, 4280, 28027, 6, 2783, 834, 537, 7, 485, 834, 16588, 834, 5848, 834, 357, 584, 4280, 28027, 61, 3, 32105, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 498, 834, 5848, 834, 7318, 21680, 953, 834, 19129, 3651, 2266, 834, 536, 549, 17444, 427, 2783, 834, 537, 7, 485, 834, 16588, 834, 5848, 834, 357, 3274, 96, 4225, 121, 1, -100, -100, -100, -100, -1...
Name the population % of eu for greece
SELECT population__percentage_of_eu FROM table_1606824_1 WHERE member_state = "Greece"
CREATE TABLE table_1606824_1 (population__percentage_of_eu VARCHAR, member_state VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3651, 2266, 834, 536, 41, 9791, 7830, 834, 834, 883, 3728, 545, 834, 858, 834, 15, 76, 584, 4280, 28027, 6, 1144, 834, 5540, 584, 4280, 28027, 61, 3, 32105, 32106, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2074, 834, 834, 883, 3728, 545, 834, 858, 834, 15, 76, 21680, 953, 834, 19129, 3651, 2266, 834, 536, 549, 17444, 427, 1144, 834, 5540, 3274, 96, 517, 60, 15, 565, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
How many networks are there that have a channel number 7?
SELECT COUNT(network) FROM table_160728_4 WHERE channel = 7
CREATE TABLE table_160728_4 (network VARCHAR, channel VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 4560, 2577, 834, 591, 41, 1582, 1981, 584, 4280, 28027, 6, 4245, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 5275, 33, 132, 24, 43, 3, 9, 4245, 381...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1582, 1981, 61, 21680, 953, 834, 2938, 4560, 2577, 834, 591, 549, 17444, 427, 4245, 3274, 489, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What station on the network is tv3?
SELECT network FROM table_160728_4 WHERE station = "TV3"
CREATE TABLE table_160728_4 (network VARCHAR, station VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 4560, 2577, 834, 591, 41, 1582, 1981, 584, 4280, 28027, 6, 2478, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2478, 30, 8, 1229, 19, 3, 17, 208, 519, 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...
[ 3, 23143, 14196, 1229, 21680, 953, 834, 2938, 4560, 2577, 834, 591, 549, 17444, 427, 2478, 3274, 96, 4562, 519, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year was the team named the Raiders established?
SELECT MAX(founded) FROM table_16078390_2 WHERE team_nickname = "Raiders"
CREATE TABLE table_16078390_2 (founded INTEGER, team_nickname VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3940, 519, 2394, 834, 357, 41, 23329, 3, 21342, 17966, 6, 372, 834, 11191, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 215, 47, 8, 372, 2650, 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, 4800, 4, 599, 23329, 61, 21680, 953, 834, 19129, 3940, 519, 2394, 834, 357, 549, 17444, 427, 372, 834, 11191, 4350, 3274, 96, 448, 18900, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What conference does Gonzaga University play in?
SELECT primary_conference FROM table_16078390_2 WHERE institution = "Gonzaga University"
CREATE TABLE table_16078390_2 (primary_conference VARCHAR, institution VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3940, 519, 2394, 834, 357, 41, 8234, 1208, 834, 28496, 584, 4280, 28027, 6, 6568, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 2542, 405, 28683, 4711, 636, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2329, 834, 28496, 21680, 953, 834, 19129, 3940, 519, 2394, 834, 357, 549, 17444, 427, 6568, 3274, 96, 517, 106, 172, 4711, 636, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many Universities were founded in Tacoma, Washington?
SELECT COUNT(founded) FROM table_16078390_2 WHERE location = "Tacoma, Washington"
CREATE TABLE table_16078390_2 (founded VARCHAR, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3940, 519, 2394, 834, 357, 41, 23329, 584, 4280, 28027, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 28932, 130, 5710, 16, 2067, 287, 9, 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, 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, 23329, 61, 21680, 953, 834, 19129, 3940, 519, 2394, 834, 357, 549, 17444, 427, 1128, 3274, 96, 382, 9, 287, 9, 6, 2386, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
Which school's team has the nickname of the Wildcats?
SELECT institution FROM table_16078390_2 WHERE team_nickname = "Wildcats"
CREATE TABLE table_16078390_2 (institution VARCHAR, team_nickname VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3940, 519, 2394, 834, 357, 41, 77, 17448, 584, 4280, 28027, 6, 372, 834, 11191, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 496, 31, 7, 372, 65, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6568, 21680, 953, 834, 19129, 3940, 519, 2394, 834, 357, 549, 17444, 427, 372, 834, 11191, 4350, 3274, 96, 518, 173, 26, 2138, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What year was the university that is located in Ellensburg, Washington established?
SELECT MIN(founded) FROM table_16078390_2 WHERE location = "Ellensburg, Washington"
CREATE TABLE table_16078390_2 (founded INTEGER, location VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3940, 519, 2394, 834, 357, 41, 23329, 3, 21342, 17966, 6, 1128, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 215, 47, 8, 3819, 24, 19, 1069, 16, 20990, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 17684, 599, 23329, 61, 21680, 953, 834, 19129, 3940, 519, 2394, 834, 357, 549, 17444, 427, 1128, 3274, 96, 427, 195, 35, 7289, 6, 2386, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Where is the university located that's nicknamed the Wolves?
SELECT location FROM table_16078390_2 WHERE team_nickname = "Wolves"
CREATE TABLE table_16078390_2 (location VARCHAR, team_nickname VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3940, 519, 2394, 834, 357, 41, 14836, 584, 4280, 28027, 6, 372, 834, 11191, 4350, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 19, 8, 3819, 1069, 24, 31,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1128, 21680, 953, 834, 19129, 3940, 519, 2394, 834, 357, 549, 17444, 427, 372, 834, 11191, 4350, 3274, 96, 518, 32, 8391, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the total number of viewers where the share is 7 and the week rank is 64?
SELECT COUNT(viewers) FROM table_16072430_1 WHERE share = 7 AND weekly_rank = "64"
CREATE TABLE table_16072430_1 (viewers VARCHAR, share VARCHAR, weekly_rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 5865, 25449, 834, 536, 41, 4576, 277, 584, 4280, 28027, 6, 698, 584, 4280, 28027, 6, 5547, 834, 6254, 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, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 4576, 277, 61, 21680, 953, 834, 19129, 5865, 25449, 834, 536, 549, 17444, 427, 698, 3274, 489, 3430, 5547, 834, 6254, 3274, 96, 4389, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
How many episodes have a share bigger than 7.0?
SELECT COUNT(_number) FROM table_16072430_1 WHERE share > 7.0
CREATE TABLE table_16072430_1 (_number VARCHAR, share INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 5865, 25449, 834, 536, 41, 834, 5525, 1152, 584, 4280, 28027, 6, 698, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 13562, 43, 3, 9, 698, 4038, 145, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 834, 5525, 1152, 61, 21680, 953, 834, 19129, 5865, 25449, 834, 536, 549, 17444, 427, 698, 2490, 3, 26346, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
How many episodes have a weekly rank tba and are broadcast at 8:00 p.m.?
SELECT COUNT(_number) FROM table_16072430_1 WHERE weekly_rank = "TBA" AND timeslot = "8:00 P.M."
CREATE TABLE table_16072430_1 (_number VARCHAR, weekly_rank VARCHAR, timeslot VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 5865, 25449, 834, 536, 41, 834, 5525, 1152, 584, 4280, 28027, 6, 5547, 834, 6254, 584, 4280, 28027, 6, 648, 3171, 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, 1, 1...
[ 3, 23143, 14196, 2847, 17161, 599, 834, 5525, 1152, 61, 21680, 953, 834, 19129, 5865, 25449, 834, 536, 549, 17444, 427, 5547, 834, 6254, 3274, 96, 9041, 188, 121, 3430, 648, 3171, 3274, 96, 15692, 276, 5, 329, 535, 1, -100, -100, -1...
What are the timeslot(s) for broadcast on February 22, 2008?
SELECT timeslot FROM table_16072430_1 WHERE air_date = "February 22, 2008"
CREATE TABLE table_16072430_1 (timeslot VARCHAR, air_date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 5865, 25449, 834, 536, 41, 715, 7, 3171, 584, 4280, 28027, 6, 799, 834, 5522, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 648, 3171, 599, 7, 61,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 648, 3171, 21680, 953, 834, 19129, 5865, 25449, 834, 536, 549, 17444, 427, 799, 834, 5522, 3274, 96, 31122, 12889, 2628, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, ...
What broadcast dates have a weekly rank of 73?
SELECT COUNT(air_date) FROM table_16072430_1 WHERE weekly_rank = "73"
CREATE TABLE table_16072430_1 (air_date VARCHAR, weekly_rank VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 5865, 25449, 834, 536, 41, 2256, 834, 5522, 584, 4280, 28027, 6, 5547, 834, 6254, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 6878, 5128, 43, 3, 9, 5547,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 2256, 834, 5522, 61, 21680, 953, 834, 19129, 5865, 25449, 834, 536, 549, 17444, 427, 5547, 834, 6254, 3274, 96, 4552, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
When was the date of appointment for St. Johnstone's manager?
SELECT date_of_appointment FROM table_16075179_6 WHERE team = "St. Johnstone"
CREATE TABLE table_16075179_6 (date_of_appointment VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3072, 26593, 834, 948, 41, 5522, 834, 858, 834, 9, 102, 2700, 297, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 834, 858, 834, 9, 102, 2700, 297, 21680, 953, 834, 19129, 3072, 26593, 834, 948, 549, 17444, 427, 372, 3274, 96, 134, 17, 5, 1079, 3009, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Who was the outgoing manager for Aberdeen?
SELECT outgoing_manager FROM table_16075179_6 WHERE team = "Aberdeen"
CREATE TABLE table_16075179_6 (outgoing_manager VARCHAR, team VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3072, 26593, 834, 948, 41, 670, 9545, 834, 24185, 584, 4280, 28027, 6, 372, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 47, 8, 91, 9545, 2743, 21, 28192...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 91, 9545, 834, 24185, 21680, 953, 834, 19129, 3072, 26593, 834, 948, 549, 17444, 427, 372, 3274, 96, 188, 1152, 221, 35, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
When was the date of appointment for the manager replacing Wim Jansen?
SELECT date_of_appointment FROM table_16075179_6 WHERE outgoing_manager = "Wim Jansen"
CREATE TABLE table_16075179_6 (date_of_appointment VARCHAR, outgoing_manager VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 3072, 26593, 834, 948, 41, 5522, 834, 858, 834, 9, 102, 2700, 297, 584, 4280, 28027, 6, 91, 9545, 834, 24185, 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, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 834, 858, 834, 9, 102, 2700, 297, 21680, 953, 834, 19129, 3072, 26593, 834, 948, 549, 17444, 427, 91, 9545, 834, 24185, 3274, 96, 518, 603, 3049, 7, 35, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, ...
What is the result for salmonella spp. if you use citrate?
SELECT COUNT(citrate) FROM table_16083989_1 WHERE species = "Salmonella spp."
CREATE TABLE table_16083989_1 (citrate VARCHAR, species VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 4018, 3288, 3914, 834, 536, 41, 75, 155, 2206, 584, 4280, 28027, 6, 3244, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 741, 21, 15237, 5303, 3, 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, 75, 155, 2206, 61, 21680, 953, 834, 2938, 4018, 3288, 3914, 834, 536, 549, 17444, 427, 3244, 3274, 96, 134, 138, 2157, 5303, 3, 7, 1572, 535, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Which species show a negative result with both voges-proskauer and indole?
SELECT species FROM table_16083989_1 WHERE voges_proskauer = "Negative" AND indole = "Negative"
CREATE TABLE table_16083989_1 (species VARCHAR, voges_proskauer VARCHAR, indole VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 4018, 3288, 3914, 834, 536, 41, 7576, 725, 584, 4280, 28027, 6, 3, 1621, 2897, 834, 1409, 10717, 7014, 584, 4280, 28027, 6, 16, 26, 32, 109, 584, 4280, 28027, 61, 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, 3244, 21680, 953, 834, 2938, 4018, 3288, 3914, 834, 536, 549, 17444, 427, 3, 1621, 2897, 834, 1409, 10717, 7014, 3274, 96, 567, 15, 122, 1528, 121, 3430, 16, 26, 32, 109, 3274, 96, 567, 15, 122, 1528, 121, 1, -100...
What are the results for testing the species with voges-proskauer when citrate yields a positive result?
SELECT voges_proskauer FROM table_16083989_1 WHERE citrate = "Positive"
CREATE TABLE table_16083989_1 (voges_proskauer VARCHAR, citrate VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 4018, 3288, 3914, 834, 536, 41, 1621, 2897, 834, 1409, 10717, 7014, 584, 4280, 28027, 6, 6895, 2206, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 33, 8, 77...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1621, 2897, 834, 1409, 10717, 7014, 21680, 953, 834, 2938, 4018, 3288, 3914, 834, 536, 549, 17444, 427, 6895, 2206, 3274, 96, 345, 32, 7, 23, 3268, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
What is the result of proteus mirabilis tested with indole?
SELECT indole FROM table_16083989_1 WHERE species = "Proteus mirabilis"
CREATE TABLE table_16083989_1 (indole VARCHAR, species VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 4018, 3288, 3914, 834, 536, 41, 77, 26, 32, 109, 584, 4280, 28027, 6, 3244, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 741, 13, 22618, 302, 1870...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 16, 26, 32, 109, 21680, 953, 834, 2938, 4018, 3288, 3914, 834, 536, 549, 17444, 427, 3244, 3274, 96, 3174, 17, 15, 302, 1870, 14237, 7, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
When was the show originally aired that had a TV broadcast of S07E04?
SELECT originalairdate FROM table_16090262_1 WHERE tv_broadcast = "S07E04"
CREATE TABLE table_16090262_1 (originalairdate VARCHAR, tv_broadcast VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2394, 2688, 357, 834, 536, 41, 21878, 2256, 5522, 584, 4280, 28027, 6, 3, 17, 208, 834, 115, 8635, 5254, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 366, 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, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0...
[ 3, 23143, 14196, 926, 2256, 5522, 21680, 953, 834, 19129, 2394, 2688, 357, 834, 536, 549, 17444, 427, 3, 17, 208, 834, 115, 8635, 5254, 3274, 96, 134, 4560, 427, 6348, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Which title was No. 4 in season?
SELECT title FROM table_16090262_1 WHERE no_in_season = 4
CREATE TABLE table_16090262_1 (title VARCHAR, no_in_season VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2394, 2688, 357, 834, 536, 41, 21869, 584, 4280, 28027, 6, 150, 834, 77, 834, 9476, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 4073, 2233, 47, 465, 5, 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, 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, 19129, 2394, 2688, 357, 834, 536, 549, 17444, 427, 150, 834, 77, 834, 9476, 3274, 314, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
Who directed the show that had a TV broadcast of S07E04?
SELECT directed_by FROM table_16090262_1 WHERE tv_broadcast = "S07E04"
CREATE TABLE table_16090262_1 (directed_by VARCHAR, tv_broadcast VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 19129, 2394, 2688, 357, 834, 536, 41, 22955, 834, 969, 584, 4280, 28027, 6, 3, 17, 208, 834, 115, 8635, 5254, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2645, 6640,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 6640, 834, 969, 21680, 953, 834, 19129, 2394, 2688, 357, 834, 536, 549, 17444, 427, 3, 17, 208, 834, 115, 8635, 5254, 3274, 96, 134, 4560, 427, 6348, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the emission rating in Mid-Atlantic South for the vehicle that was rated 90 g/mi (56 g/km) in Alaska and 110 g/mi (68 g/km) in California?
SELECT mid_atlantic_south__washington, _dc_ FROM table_16105186_2 WHERE alaska___juneau__ = "90 g/mi (56 g/km)" AND california__san_francisco_ = "110 g/mi (68 g/km)"
CREATE TABLE table_16105186_2 (mid_atlantic_south__washington VARCHAR, _dc_ VARCHAR, alaska___juneau__ VARCHAR, california__san_francisco_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 12869, 25398, 834, 357, 41, 6983, 834, 31767, 834, 7, 670, 107, 834, 834, 14710, 6029, 584, 4280, 28027, 6, 3, 834, 26, 75, 834, 584, 4280, 28027, 6, 491, 9, 10717, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2076, 834, 31767, 834, 7, 670, 107, 834, 834, 14710, 6029, 6, 3, 834, 26, 75, 834, 21680, 953, 834, 2938, 12869, 25398, 834, 357, 549, 17444, 427, 491, 9, 10717, 834, 834, 834, 6959, 1607, 834, 834, 3274, 96, 2394...
What was the emission rating in Mid-Atlantic South for the vehicle that was rated 300 g/mi (186 g/km) in the Midwest?
SELECT mid_atlantic_south__washington, _dc_ FROM table_16105186_2 WHERE midwest__des_moines_ = "300 g/mi (186 g/km)"
CREATE TABLE table_16105186_2 (mid_atlantic_south__washington VARCHAR, _dc_ VARCHAR, midwest__des_moines_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 12869, 25398, 834, 357, 41, 6983, 834, 31767, 834, 7, 670, 107, 834, 834, 14710, 6029, 584, 4280, 28027, 6, 3, 834, 26, 75, 834, 584, 4280, 28027, 6, 2076, 12425, 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, 2076, 834, 31767, 834, 7, 670, 107, 834, 834, 14710, 6029, 6, 3, 834, 26, 75, 834, 21680, 953, 834, 2938, 12869, 25398, 834, 357, 549, 17444, 427, 2076, 12425, 834, 834, 1395, 834, 16661, 1496, 834, 3274, 96, 5426, ...
What was the US national average electric mix rating for the vehicle that was rated 280 g/mi (174 g/km) in the Midwest?
SELECT us_national_average_electric_mix FROM table_16105186_2 WHERE midwest__des_moines_ = "280 g/mi (174 g/km)"
CREATE TABLE table_16105186_2 (us_national_average_electric_mix VARCHAR, midwest__des_moines_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 12869, 25398, 834, 357, 41, 302, 834, 16557, 834, 28951, 834, 17470, 834, 13682, 584, 4280, 28027, 6, 2076, 12425, 834, 834, 1395, 834, 16661, 1496, 834, 584, 4280, 28027...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 178, 834, 16557, 834, 28951, 834, 17470, 834, 13682, 21680, 953, 834, 2938, 12869, 25398, 834, 357, 549, 17444, 427, 2076, 12425, 834, 834, 1395, 834, 16661, 1496, 834, 3274, 96, 17518, 3, 122, 87, 51, 23, 41, 27693, ...
How many Ford Focus electric vehicle emission test scores were recorded in California?
SELECT COUNT(california__san_francisco_) FROM table_16105186_2 WHERE vehicle = "Ford Focus Electric"
CREATE TABLE table_16105186_2 (california__san_francisco_ VARCHAR, vehicle VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 12869, 25398, 834, 357, 41, 15534, 1161, 29, 23, 9, 834, 834, 7, 152, 834, 6296, 75, 23, 3523, 834, 584, 4280, 28027, 6, 1689, 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, 0, 0, 0, 0...
[ 3, 23143, 14196, 2847, 17161, 599, 15534, 1161, 29, 23, 9, 834, 834, 7, 152, 834, 6296, 75, 23, 3523, 834, 61, 21680, 953, 834, 2938, 12869, 25398, 834, 357, 549, 17444, 427, 1689, 3274, 96, 3809, 26, 11561, 8666, 121, 1, -100, -1...
What was the emission rating in California for the vehicle that was rated 80 g/mi (50 g/km) in Alaska and 250 g/mi (155 g/km) in the Southeast ?
SELECT california__san_francisco_ FROM table_16105186_2 WHERE alaska___juneau__ = "80 g/mi (50 g/km)" AND southeast__atlanta_ = "250 g/mi (155 g/km)"
CREATE TABLE table_16105186_2 (california__san_francisco_ VARCHAR, alaska___juneau__ VARCHAR, southeast__atlanta_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 12869, 25398, 834, 357, 41, 15534, 1161, 29, 23, 9, 834, 834, 7, 152, 834, 6296, 75, 23, 3523, 834, 584, 4280, 28027, 6, 491, 9, 10717, 834, 834, 834, 6959, 1607, 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, 3, 15534, 1161, 29, 23, 9, 834, 834, 7, 152, 834, 6296, 75, 23, 3523, 834, 21680, 953, 834, 2938, 12869, 25398, 834, 357, 549, 17444, 427, 491, 9, 10717, 834, 834, 834, 6959, 1607, 834, 834, 3274, 96, 2079, 3, 1...
What was the lowest no. of attendance on record?
SELECT MIN(attendance) FROM table_16119656_1
CREATE TABLE table_16119656_1 (attendance INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 2596, 4314, 4834, 834, 536, 41, 15116, 663, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 7402, 150, 5, 13, 11364, 30, 1368, 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, 3, 17684, 599, 15116, 663, 61, 21680, 953, 834, 2938, 2596, 4314, 4834, 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, ...
When was the game played if the attendance is less than 6427.0?
SELECT date FROM table_16119656_1 WHERE attendance < 6427.0
CREATE TABLE table_16119656_1 (date VARCHAR, attendance INTEGER)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 2596, 4314, 4834, 834, 536, 41, 5522, 584, 4280, 28027, 6, 11364, 3, 21342, 17966, 61, 3, 32105, 32106, 32107, 32106, 366, 47, 8, 467, 1944, 3, 99, 8, 11364, 19, 705,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2938, 2596, 4314, 4834, 834, 536, 549, 17444, 427, 11364, 3, 2, 431, 4165, 26346, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -1...
How many were in attendance during the game on January 9, 1988?
SELECT attendance FROM table_16119656_1 WHERE date = "January 9, 1988"
CREATE TABLE table_16119656_1 (attendance VARCHAR, date VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 2596, 4314, 4834, 834, 536, 41, 15116, 663, 584, 4280, 28027, 6, 833, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 571, 186, 130, 16, 11364, 383, 8, 467, 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, 11364, 21680, 953, 834, 2938, 2596, 4314, 4834, 834, 536, 549, 17444, 427, 833, 3274, 96, 30404, 9902, 10414, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
Where is the headquarters of the place whose abbreviation is hy?
SELECT headquarters FROM table_1610301_1 WHERE code = "HY"
CREATE TABLE table_1610301_1 (headquarters VARCHAR, code VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 1714, 25626, 834, 536, 41, 3313, 19973, 7, 584, 4280, 28027, 6, 1081, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 19, 8, 13767, 13, 8, 286, 3, 2544, 70...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 13767, 21680, 953, 834, 2938, 1714, 25626, 834, 536, 549, 17444, 427, 1081, 3274, 96, 15761, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Where is the headquarters of the place whose population in 2011 was 3811738?
SELECT headquarters FROM table_1610301_1 WHERE population__2011_ = 3811738
CREATE TABLE table_1610301_1 (headquarters VARCHAR, population__2011_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 1714, 25626, 834, 536, 41, 3313, 19973, 7, 584, 4280, 28027, 6, 2074, 834, 834, 13907, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 2840, 19, 8, 13767, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 13767, 21680, 953, 834, 2938, 1714, 25626, 834, 536, 549, 17444, 427, 2074, 834, 834, 13907, 834, 3274, 6654, 20275, 3747, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What was the minimum population in 2011 of the district of Prakasam?
SELECT MIN(population__2011_) FROM table_1610301_1 WHERE district = "Prakasam"
CREATE TABLE table_1610301_1 (population__2011_ INTEGER, district VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 1714, 25626, 834, 536, 41, 9791, 7830, 834, 834, 13907, 834, 3, 21342, 17966, 6, 3939, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 47, 8, 2559, 2074, 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, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 3, 17684, 599, 9791, 7830, 834, 834, 13907, 834, 61, 21680, 953, 834, 2938, 1714, 25626, 834, 536, 549, 17444, 427, 3939, 3274, 96, 345, 9782, 9, 7, 265, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100,...
What is the abbreviation of the district of Mahbubnagar?
SELECT code FROM table_1610301_1 WHERE district = "Mahbubnagar"
CREATE TABLE table_1610301_1 (code VARCHAR, district VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 1714, 25626, 834, 536, 41, 4978, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 703, 1999, 2099, 257, 13, 8, 3939, 13, 85...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1081, 21680, 953, 834, 2938, 1714, 25626, 834, 536, 549, 17444, 427, 3939, 3274, 96, 329, 9, 107, 3007, 115, 29, 9, 1478, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
What is the 2011 population of the district of East Godavari?
SELECT population__2011_ FROM table_1610301_1 WHERE district = "East Godavari"
CREATE TABLE table_1610301_1 (population__2011_ VARCHAR, district VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 1714, 25626, 834, 536, 41, 9791, 7830, 834, 834, 13907, 834, 584, 4280, 28027, 6, 3939, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 363, 19, 8, 2722, 2074, 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, 2074, 834, 834, 13907, 834, 21680, 953, 834, 2938, 1714, 25626, 834, 536, 549, 17444, 427, 3939, 3274, 96, 25235, 601, 9, 9504, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -10...
What is the adjusted GDP when the nominal GDP per capita is 2874?
SELECT gdp_adjusted__$_billions_ FROM table_1610496_3 WHERE gdp_per_capita_nominal__$_ = 2874
CREATE TABLE table_1610496_3 (gdp_adjusted__$_billions_ VARCHAR, gdp_per_capita_nominal__$_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 15442, 4314, 834, 519, 41, 122, 26, 102, 834, 9, 26, 4998, 15, 26, 834, 834, 3229, 834, 115, 14916, 7, 834, 584, 4280, 28027, 6, 3, 122, 26, 102, 834, 883, 834, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 122, 26, 102, 834, 9, 26, 4998, 15, 26, 834, 834, 3229, 834, 115, 14916, 7, 834, 21680, 953, 834, 2938, 15442, 4314, 834, 519, 549, 17444, 427, 3, 122, 26, 102, 834, 883, 834, 4010, 155, 9, 834, 3114, 10270, ...
What is the adjusted GDP per capita when the population is 37.376 million?
SELECT gdp_per_capita_adjusted__$_ FROM table_1610496_3 WHERE population__millions_ = "37.376"
CREATE TABLE table_1610496_3 (gdp_per_capita_adjusted__$_ VARCHAR, population__millions_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 15442, 4314, 834, 519, 41, 122, 26, 102, 834, 883, 834, 4010, 155, 9, 834, 9, 26, 4998, 15, 26, 834, 834, 3229, 834, 584, 4280, 28027, 6, 2074, 834, 834, 17030, 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, 3, 122, 26, 102, 834, 883, 834, 4010, 155, 9, 834, 9, 26, 4998, 15, 26, 834, 834, 3229, 834, 21680, 953, 834, 2938, 15442, 4314, 834, 519, 549, 17444, 427, 2074, 834, 834, 17030, 7, 834, 3274, 96, 519, 27914, 39...
What is the nominal GDP per capita when the population is 63.056 million?
SELECT MIN(gdp_per_capita_nominal__) AS $_ FROM table_1610496_3 WHERE population__millions_ = "63.056"
CREATE TABLE table_1610496_3 (gdp_per_capita_nominal__ INTEGER, population__millions_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 15442, 4314, 834, 519, 41, 122, 26, 102, 834, 883, 834, 4010, 155, 9, 834, 3114, 10270, 834, 834, 3, 21342, 17966, 6, 2074, 834, 834, 17030, 7, 834, 584, 4280, 28027,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 17684, 599, 122, 26, 102, 834, 883, 834, 4010, 155, 9, 834, 3114, 10270, 834, 834, 61, 6157, 1514, 834, 21680, 953, 834, 2938, 15442, 4314, 834, 519, 549, 17444, 427, 2074, 834, 834, 17030, 7, 834, 3274, 96, 38...
What is the adjusted GDP when the population is 5.141 million?
SELECT gdp_adjusted__$_billions_ FROM table_1610496_3 WHERE population__millions_ = "5.141"
CREATE TABLE table_1610496_3 (gdp_adjusted__$_billions_ VARCHAR, population__millions_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 15442, 4314, 834, 519, 41, 122, 26, 102, 834, 9, 26, 4998, 15, 26, 834, 834, 3229, 834, 115, 14916, 7, 834, 584, 4280, 28027, 6, 2074, 834, 834, 17030, 7, 834, 584,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 122, 26, 102, 834, 9, 26, 4998, 15, 26, 834, 834, 3229, 834, 115, 14916, 7, 834, 21680, 953, 834, 2938, 15442, 4314, 834, 519, 549, 17444, 427, 2074, 834, 834, 17030, 7, 834, 3274, 96, 20519, 4853, 121, 1, -1...
What is the population in millions when the adjusted GDP is 492 billion?
SELECT population__millions_ FROM table_1610496_3 WHERE gdp_adjusted__$_billions_ = "492"
CREATE TABLE table_1610496_3 (population__millions_ VARCHAR, gdp_adjusted__$_billions_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 15442, 4314, 834, 519, 41, 9791, 7830, 834, 834, 17030, 7, 834, 584, 4280, 28027, 6, 3, 122, 26, 102, 834, 9, 26, 4998, 15, 26, 834, 834, 3229, 834, 115, 14916, 7, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2074, 834, 834, 17030, 7, 834, 21680, 953, 834, 2938, 15442, 4314, 834, 519, 549, 17444, 427, 3, 122, 26, 102, 834, 9, 26, 4998, 15, 26, 834, 834, 3229, 834, 115, 14916, 7, 834, 3274, 96, 3647, 357, 121, 1, -100...
What is the adjusted GDP when the nominal GDP is 8.43 (in billions)?
SELECT gdp_adjusted__$_billions_ FROM table_1610496_3 WHERE gdp_nominal__$_billions_ = "8.43"
CREATE TABLE table_1610496_3 (gdp_adjusted__$_billions_ VARCHAR, gdp_nominal__$_billions_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 15442, 4314, 834, 519, 41, 122, 26, 102, 834, 9, 26, 4998, 15, 26, 834, 834, 3229, 834, 115, 14916, 7, 834, 584, 4280, 28027, 6, 3, 122, 26, 102, 834, 3114, 10270, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 3, 122, 26, 102, 834, 9, 26, 4998, 15, 26, 834, 834, 3229, 834, 115, 14916, 7, 834, 21680, 953, 834, 2938, 15442, 4314, 834, 519, 549, 17444, 427, 3, 122, 26, 102, 834, 3114, 10270, 834, 834, 3229, 834, 115, 149...
What was the opearint profit (s$m) associated with an expenditure (s$m) of 12,127.8?
SELECT operating_profit__s$m_ FROM table_161591_2 WHERE expenditure__s$m_ = "12,127.8"
CREATE TABLE table_161591_2 (operating_profit__s$m_ VARCHAR, expenditure__s$m_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 1808, 4729, 834, 357, 41, 18140, 1222, 834, 6046, 834, 834, 7, 3229, 51, 834, 584, 4280, 28027, 6, 15700, 834, 834, 7, 3229, 51, 834, 584, 4280, 28027, 61, 3, 32105, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 2699, 834, 6046, 834, 834, 7, 3229, 51, 834, 21680, 953, 834, 2938, 1808, 4729, 834, 357, 549, 17444, 427, 15700, 834, 834, 7, 3229, 51, 834, 3274, 96, 2122, 6, 22367, 5, 927, 121, 1, -100, -100, -100, -100, -100,...
What was the expenditure (s$m) associated with an operating profit (s$m) of 717.1?
SELECT expenditure__s$m_ FROM table_161591_2 WHERE operating_profit__s$m_ = "717.1"
CREATE TABLE table_161591_2 (expenditure__s$m_ VARCHAR, operating_profit__s$m_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 1808, 4729, 834, 357, 41, 994, 3208, 26, 23, 2693, 834, 834, 7, 3229, 51, 834, 584, 4280, 28027, 6, 2699, 834, 6046, 834, 834, 7, 3229, 51, 834, 584, 4280, 28027, 6...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 3, 23143, 14196, 15700, 834, 834, 7, 3229, 51, 834, 21680, 953, 834, 2938, 1808, 4729, 834, 357, 549, 17444, 427, 2699, 834, 6046, 834, 834, 7, 3229, 51, 834, 3274, 96, 4450, 25059, 121, 1, -100, -100, -100, -100, -100, -100, -100, ...
How many years was the operating profit (s$m) 717.1?
SELECT COUNT(profit_before_taxation__s) AS $m_ FROM table_161591_2 WHERE operating_profit__s$m_ = "717.1"
CREATE TABLE table_161591_2 (profit_before_taxation__s VARCHAR, operating_profit__s$m_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 1808, 4729, 834, 357, 41, 6046, 834, 26116, 834, 14727, 257, 834, 834, 7, 584, 4280, 28027, 6, 2699, 834, 6046, 834, 834, 7, 3229, 51, 834, 584, 4280, 28027, 61, 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, 2847, 17161, 599, 6046, 834, 26116, 834, 14727, 257, 834, 834, 7, 61, 6157, 1514, 51, 834, 21680, 953, 834, 2938, 1808, 4729, 834, 357, 549, 17444, 427, 2699, 834, 6046, 834, 834, 7, 3229, 51, 834, 3274, 96, 4450, ...
Name the simplified characters for wade giles is ch'ing-yüan … i-ma
SELECT simplified_characters FROM table_16162581_1 WHERE wade_giles = "ch'ing-yüan … i-ma"
CREATE TABLE table_16162581_1 (simplified_characters VARCHAR, wade_giles VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 41, 7, 10296, 3676, 834, 31886, 7, 584, 4280, 28027, 6, 8036, 221, 834, 122, 699, 7, 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, 1, 1...
[ 3, 23143, 14196, 24687, 834, 31886, 7, 21680, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 549, 17444, 427, 8036, 221, 834, 122, 699, 7, 3274, 96, 524, 31, 53, 18, 63, 1272, 152, 3, 233, 3, 23, 18, 51, 9, 121, 1, -100, -100, -1...
Name the pinyin for 657 date
SELECT pinyin FROM table_16162581_1 WHERE date__ce_ = "657"
CREATE TABLE table_16162581_1 (pinyin VARCHAR, date__ce_ VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 41, 3180, 63, 77, 584, 4280, 28027, 6, 833, 834, 834, 565, 834, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 4522, 63, 77...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4522, 63, 77, 21680, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 549, 17444, 427, 833, 834, 834, 565, 834, 3274, 96, 948, 3436, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -...
Name the text for 心猿意马
SELECT text FROM table_16162581_1 WHERE simplified_characters = "心猿意马"
CREATE TABLE table_16162581_1 (text VARCHAR, simplified_characters VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 41, 6327, 584, 4280, 28027, 6, 24687, 834, 31886, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 1499, 21, 3, 2, 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, 1499, 21680, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 549, 17444, 427, 24687, 834, 31886, 7, 3274, 96, 2, 121, 1, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...
Name the simplified charaacters being hsin-yüan … i-ma
SELECT simplified_characters FROM table_16162581_1 WHERE wade_giles = "hsin-yüan … i-ma"
CREATE TABLE table_16162581_1 (simplified_characters VARCHAR, wade_giles VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 41, 7, 10296, 3676, 834, 31886, 7, 584, 4280, 28027, 6, 8036, 221, 834, 122, 699, 7, 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, 1, 1...
[ 3, 23143, 14196, 24687, 834, 31886, 7, 21680, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 549, 17444, 427, 8036, 221, 834, 122, 699, 7, 3274, 96, 107, 7, 77, 18, 63, 1272, 152, 3, 233, 3, 23, 18, 51, 9, 121, 1, -100, -100, -10...
Name the total number of pinyin for hsin-yüan-i-ma
SELECT COUNT(pinyin) FROM table_16162581_1 WHERE wade_giles = "hsin-yüan-i-ma"
CREATE TABLE table_16162581_1 (pinyin VARCHAR, wade_giles VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 41, 3180, 63, 77, 584, 4280, 28027, 6, 8036, 221, 834, 122, 699, 7, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 792, 381...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2847, 17161, 599, 3180, 63, 77, 61, 21680, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 549, 17444, 427, 8036, 221, 834, 122, 699, 7, 3274, 96, 107, 7, 77, 18, 63, 1272, 152, 18, 23, 18, 51, 9, 121, 1, -100, -1...
Name the date for qíngyuán … yìmǎ
SELECT date__ce_ FROM table_16162581_1 WHERE pinyin = "qíngyuán … yìmǎ"
CREATE TABLE table_16162581_1 (date__ce_ VARCHAR, pinyin VARCHAR)
[ 32100, 32106, 32105, 205, 4386, 6048, 332, 17098, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 41, 5522, 834, 834, 565, 834, 584, 4280, 28027, 6, 4522, 63, 77, 584, 4280, 28027, 61, 3, 32105, 32106, 32107, 32106, 5570, 8, 833, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0...
[ 3, 23143, 14196, 833, 834, 834, 565, 834, 21680, 953, 834, 2938, 2938, 1828, 4959, 834, 536, 549, 17444, 427, 4522, 63, 77, 3274, 96, 1824, 2, 1725, 63, 76, 12916, 3, 233, 3, 63, 2, 51, 2, 121, 1, -100, -100, -100, -100, -100, ...