Datasets:
Mohanrajv27
/
Text-to-sql_label

Dataset card Data Studio Files Community
instruction
stringlengths
0
1.06k
response
stringlengths
2
3.61k
input_ids
sequence
attention_mask
sequence
labels
sequence
TOP 200 - Brazilian Users.
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%brazil%' OR UPPER(Location) LIKE '%BRA' ORDER BY Reputation DESC LIMIT 200
[ 35222, 939, 532, 17036, 18987, 13, 46506, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 1432, 7094, 22196, 34, 8, 7054, 25113, 1600, 5121, 7054, 366, 7220, 62, 8726, 1600, 1432, 7094, 16034, 18987, 33411, 406, 36048, 7, 14749, 8, 34178, 705, 4, 65, 7098, 4, 6, 6375, 471, 10246, 1137, 7, 14749, 8, 34178, 705, 4, 33, 3861, 6, 38678, 11050, 1432, 7094, 22196, 34, 27564, 2043, 939 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 35222, 939, 532, 17036, 18987, 13, 46506, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 1432, 7094, 22196, 34, 8, 7054, 25113, 1600, 5121, 7054, 366, 7220, 62, 8726, 1600, 1432, 7094, 16034, 18987, 33411, 406, 36048, 7, 14749, 8, 34178, 705, 4, 65, 7098, 4, 6, 6375, 471, 10246, 1137, 7, 14749, 8, 34178, 705, 4, 33, 3861, 6, 38678, 11050, 1432, 7094, 22196, 34, 27564, 2043, 939 ]
What's the season number of the episode originally aired on October 14, 2008?
SELECT no_in_season FROM table_19401346_1 WHERE original_air_date = "October 14, 2008"
[ 2061, 338, 262, 1622, 1271, 286, 262, 4471, 6198, 18530, 319, 3267, 1478, 11, 3648, 30, 46506, 645, 62, 259, 62, 6230, 16034, 3084, 62, 1129, 21844, 30557, 62, 16, 33411, 2656, 62, 958, 62, 4475, 796, 366, 18517, 1478, 11, 3648, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 338, 262, 1622, 1271, 286, 262, 4471, 6198, 18530, 319, 3267, 1478, 11, 3648, 30, 46506, 645, 62, 259, 62, 6230, 16034, 3084, 62, 1129, 21844, 30557, 62, 16, 33411, 2656, 62, 958, 62, 4475, 796, 366, 18517, 1478, 11, 3648, 1 ]
How many candidates are listed all together for the incumbent named bob clement?
SELECT COUNT(candidates) FROM table_1341577_43 WHERE incumbent = "Bob Clement"
[ 2437, 867, 5871, 389, 5610, 477, 1978, 329, 262, 23526, 3706, 29202, 1190, 434, 30, 46506, 327, 28270, 7, 46188, 37051, 8, 16034, 3084, 62, 19880, 1314, 3324, 62, 3559, 33411, 23526, 796, 366, 18861, 27311, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 5871, 389, 5610, 477, 1978, 329, 262, 23526, 3706, 29202, 1190, 434, 30, 46506, 327, 28270, 7, 46188, 37051, 8, 16034, 3084, 62, 19880, 1314, 3324, 62, 3559, 33411, 23526, 796, 366, 18861, 27311, 1 ]
Show me about the distribution of meter_400 and ID in a bar chart, list by the X from high to low.
SELECT meter_400, ID FROM swimmer ORDER BY meter_400 DESC
[ 15307, 502, 546, 262, 6082, 286, 16430, 62, 7029, 290, 4522, 287, 257, 2318, 8262, 11, 1351, 416, 262, 1395, 422, 1029, 284, 1877, 13, 46506, 16430, 62, 7029, 11, 4522, 16034, 9422, 647, 38678, 11050, 16430, 62, 7029, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 502, 546, 262, 6082, 286, 16430, 62, 7029, 290, 4522, 287, 257, 2318, 8262, 11, 1351, 416, 262, 1395, 422, 1029, 284, 1877, 13, 46506, 16430, 62, 7029, 11, 4522, 16034, 9422, 647, 38678, 11050, 16430, 62, 7029, 22196, 34 ]
What is the total number played with 8 points and a position more than 6?
SELECT COUNT(played) FROM table_name_90 WHERE points = 8 AND position > 6
[ 2061, 318, 262, 2472, 1271, 2826, 351, 807, 2173, 290, 257, 2292, 517, 621, 718, 30, 46506, 327, 28270, 7, 21542, 8, 16034, 3084, 62, 3672, 62, 3829, 33411, 2173, 796, 807, 5357, 2292, 1875, 718 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 2472, 1271, 2826, 351, 807, 2173, 290, 257, 2292, 517, 621, 718, 30, 46506, 327, 28270, 7, 21542, 8, 16034, 3084, 62, 3672, 62, 3829, 33411, 2173, 796, 807, 5357, 2292, 1875, 718 ]
provide the number of patients whose age is less than 62 and item id is 51382?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "62" AND lab.itemid = "51382"
[ 15234, 485, 262, 1271, 286, 3871, 3025, 2479, 318, 1342, 621, 8190, 290, 2378, 4686, 318, 642, 1485, 6469, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 16728, 13, 496, 1279, 366, 5237, 1, 5357, 2248, 13, 9186, 312, 796, 366, 48645, 6469, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15234, 485, 262, 1271, 286, 3871, 3025, 2479, 318, 1342, 621, 8190, 290, 2378, 4686, 318, 642, 1485, 6469, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 16728, 13, 496, 1279, 366, 5237, 1, 5357, 2248, 13, 9186, 312, 796, 366, 48645, 6469, 1 ]
What is 2006-07 Season, when Team is 'KF Fush Kosova'?
SELECT "2006\u201307 Season" FROM table_60886 WHERE "Team" = 'kf fushë kosova'
[ 2061, 318, 4793, 12, 2998, 7369, 11, 618, 4816, 318, 705, 42, 37, 376, 1530, 18884, 10071, 30960, 46506, 366, 13330, 59, 84, 1264, 22996, 7369, 1, 16034, 3084, 62, 1899, 44980, 33411, 366, 15592, 1, 796, 705, 74, 69, 277, 1530, 26689, 479, 418, 10071, 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 ]
[ 2061, 318, 4793, 12, 2998, 7369, 11, 618, 4816, 318, 705, 42, 37, 376, 1530, 18884, 10071, 30960, 46506, 366, 13330, 59, 84, 1264, 22996, 7369, 1, 16034, 3084, 62, 1899, 44980, 33411, 366, 15592, 1, 796, 705, 74, 69, 277, 1530, 26689, 479, 418, 10071, 6 ]
How many draft picks are there at the Defensive End position?
SELECT COUNT(pick__number) FROM table_16729063_1 WHERE position = "Defensive End"
[ 2437, 867, 4538, 11103, 389, 612, 379, 262, 24784, 5268, 2292, 30, 46506, 327, 28270, 7, 27729, 834, 17618, 8, 16034, 3084, 62, 21940, 1959, 3312, 18, 62, 16, 33411, 2292, 796, 366, 7469, 2021, 5268, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 4538, 11103, 389, 612, 379, 262, 24784, 5268, 2292, 30, 46506, 327, 28270, 7, 27729, 834, 17618, 8, 16034, 3084, 62, 21940, 1959, 3312, 18, 62, 16, 33411, 2292, 796, 366, 7469, 2021, 5268, 1 ]
What is the name of the person who is the oldest?
SELECT name FROM person WHERE age = (SELECT MAX(age) FROM person)
[ 2061, 318, 262, 1438, 286, 262, 1048, 508, 318, 262, 13325, 30, 46506, 1438, 16034, 1048, 33411, 2479, 796, 357, 46506, 25882, 7, 496, 8, 16034, 1048, 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 ]
[ 2061, 318, 262, 1438, 286, 262, 1048, 508, 318, 262, 13325, 30, 46506, 1438, 16034, 1048, 33411, 2479, 796, 357, 46506, 25882, 7, 496, 8, 16034, 1048, 8 ]
Which venue had a score of 1-1?
SELECT "Venue" FROM table_53374 WHERE "Score" = '1-1'
[ 13828, 14359, 550, 257, 4776, 286, 352, 12, 16, 30, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 44994, 4524, 33411, 366, 26595, 1, 796, 705, 16, 12, 16, 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 ]
[ 13828, 14359, 550, 257, 4776, 286, 352, 12, 16, 30, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 44994, 4524, 33411, 366, 26595, 1, 796, 705, 16, 12, 16, 6 ]
What is buffalo's pick #?
SELECT MAX("Pick #") FROM table_76788 WHERE "College" = 'buffalo'
[ 2061, 318, 45019, 338, 2298, 1303, 30, 46506, 25882, 7203, 31686, 1303, 4943, 16034, 3084, 62, 32059, 3459, 33411, 366, 38951, 1, 796, 705, 36873, 7335, 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 ]
[ 2061, 318, 45019, 338, 2298, 1303, 30, 46506, 25882, 7203, 31686, 1303, 4943, 16034, 3084, 62, 32059, 3459, 33411, 366, 38951, 1, 796, 705, 36873, 7335, 6 ]
Post Views Histogram (Regular Scale).
WITH PostScores AS (SELECT p.ViewCount, p.PostTypeId, COUNT(*) * 1.0 AS PostCount FROM Posts AS p WHERE p.PostTypeId IN (1) AND ClosedDate IS NULL AND DATEDIFF(day, p.CreationDate, GETDATE()) > '##minAge:int?7##' GROUP BY ViewCount, p.PostTypeId) SELECT ViewCount, CASE WHEN PostTypeId = '1' THEN 'Questions' ELSE 'Answers' END AS Series, PostCount AS "count" FROM PostScores WHERE PostCount >= '##MinPostViews:int?0##' AND ViewCount >= '##MinViews:int?0##' AND ViewCount <= '##MaxViews:int?1000##' ORDER BY Series, ViewCount
[ 6307, 29978, 5590, 21857, 357, 40164, 21589, 737, 54, 10554, 2947, 3351, 2850, 7054, 357, 46506, 279, 13, 7680, 12332, 11, 279, 13, 6307, 6030, 7390, 11, 327, 28270, 7, 28104, 1635, 352, 13, 15, 7054, 2947, 12332, 16034, 12043, 7054, 279, 33411, 279, 13, 6307, 6030, 7390, 3268, 357, 16, 8, 5357, 30550, 10430, 3180, 15697, 5357, 360, 11617, 29267, 7, 820, 11, 279, 13, 12443, 341, 10430, 11, 17151, 35, 6158, 28955, 1875, 705, 2235, 1084, 23396, 25, 600, 30, 22, 2235, 6, 44441, 11050, 3582, 12332, 11, 279, 13, 6307, 6030, 7390, 8, 33493, 3582, 12332, 11, 42001, 42099, 2947, 6030, 7390, 796, 705, 16, 6, 42243, 705, 35741, 6, 17852, 5188, 705, 2025, 37848, 6, 23578, 7054, 7171, 11, 2947, 12332, 7054, 366, 9127, 1, 16034, 2947, 3351, 2850, 33411, 2947, 12332, 18189, 705, 2235, 9452, 6307, 7680, 82, 25, 600, 30, 15, 2235, 6, 5357, 3582, 12332, 18189, 705, 2235, 9452, 7680, 82, 25, 600, 30, 15, 2235, 6, 5357, 3582, 12332, 19841, 705, 2235, 11518, 7680, 82, 25, 600, 30, 12825, 2235, 6, 38678, 11050, 7171, 11, 3582, 12332 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 6307, 29978, 5590, 21857, 357, 40164, 21589, 737, 54, 10554, 2947, 3351, 2850, 7054, 357, 46506, 279, 13, 7680, 12332, 11, 279, 13, 6307, 6030, 7390, 11, 327, 28270, 7, 28104, 1635, 352, 13, 15, 7054, 2947, 12332, 16034, 12043, 7054, 279, 33411, 279, 13, 6307, 6030, 7390, 3268, 357, 16, 8, 5357, 30550, 10430, 3180, 15697, 5357, 360, 11617, 29267, 7, 820, 11, 279, 13, 12443, 341, 10430, 11, 17151, 35, 6158, 28955, 1875, 705, 2235, 1084, 23396, 25, 600, 30, 22, 2235, 6, 44441, 11050, 3582, 12332, 11, 279, 13, 6307, 6030, 7390, 8, 33493, 3582, 12332, 11, 42001, 42099, 2947, 6030, 7390, 796, 705, 16, 6, 42243, 705, 35741, 6, 17852, 5188, 705, 2025, 37848, 6, 23578, 7054, 7171, 11, 2947, 12332, 7054, 366, 9127, 1, 16034, 2947, 3351, 2850, 33411, 2947, 12332, 18189, 705, 2235, 9452, 6307, 7680, 82, 25, 600, 30, 15, 2235, 6, 5357, 3582, 12332, 18189, 705, 2235, 9452, 7680, 82, 25, 600, 30, 15, 2235, 6, 5357, 3582, 12332, 19841, 705, 2235, 11518, 7680, 82, 25, 600, 30, 12825, 2235, 6, 38678, 11050, 7171, 11, 3582, 12332 ]
What is the population with an area of 1,126.84?
SELECT MIN(population) FROM table_name_44 WHERE area = 1 OFFSET 126.84
[ 2061, 318, 262, 3265, 351, 281, 1989, 286, 352, 11, 19420, 13, 5705, 30, 46506, 20625, 7, 39748, 8, 16034, 3084, 62, 3672, 62, 2598, 33411, 1989, 796, 352, 3963, 10652, 2767, 19710, 13, 5705 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 3265, 351, 281, 1989, 286, 352, 11, 19420, 13, 5705, 30, 46506, 20625, 7, 39748, 8, 16034, 3084, 62, 3672, 62, 2598, 33411, 1989, 796, 352, 3963, 10652, 2767, 19710, 13, 5705 ]
Win % larger than 47.1, and a Matches smaller than 145 had what lowest lost?
SELECT MIN(lost) FROM table_name_47 WHERE win__percentage > 47.1 AND matches < 145
[ 16643, 4064, 4025, 621, 6298, 13, 16, 11, 290, 257, 6550, 2052, 4833, 621, 20299, 550, 644, 9016, 2626, 30, 46506, 20625, 7, 33224, 8, 16034, 3084, 62, 3672, 62, 2857, 33411, 1592, 834, 25067, 496, 1875, 6298, 13, 16, 5357, 7466, 1279, 20299 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 16643, 4064, 4025, 621, 6298, 13, 16, 11, 290, 257, 6550, 2052, 4833, 621, 20299, 550, 644, 9016, 2626, 30, 46506, 20625, 7, 33224, 8, 16034, 3084, 62, 3672, 62, 2857, 33411, 1592, 834, 25067, 496, 1875, 6298, 13, 16, 5357, 7466, 1279, 20299 ]
What type of motorsport has a session of pre-race test?
SELECT discipline FROM table_name_93 WHERE session = "pre-race test"
[ 2061, 2099, 286, 24699, 634, 468, 257, 6246, 286, 662, 12, 16740, 1332, 30, 46506, 12883, 16034, 3084, 62, 3672, 62, 6052, 33411, 6246, 796, 366, 3866, 12, 16740, 1332, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 2099, 286, 24699, 634, 468, 257, 6246, 286, 662, 12, 16740, 1332, 30, 46506, 12883, 16034, 3084, 62, 3672, 62, 6052, 33411, 6246, 796, 366, 3866, 12, 16740, 1332, 1 ]
On which date was St Kilda the home team?
SELECT date FROM table_name_2 WHERE home_team = "st kilda"
[ 2202, 543, 3128, 373, 520, 509, 27281, 262, 1363, 1074, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 17, 33411, 1363, 62, 15097, 796, 366, 301, 479, 27281, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2202, 543, 3128, 373, 520, 509, 27281, 262, 1363, 1074, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 17, 33411, 1363, 62, 15097, 796, 366, 301, 479, 27281, 1 ]
how many date with score being w 113 87
SELECT COUNT("Date") FROM table_18748 WHERE "Score" = 'W 113–87'
[ 4919, 867, 3128, 351, 4776, 852, 266, 17318, 10083, 46506, 327, 28270, 7203, 10430, 4943, 16034, 3084, 62, 23451, 2780, 33411, 366, 26595, 1, 796, 705, 54, 17318, 1906, 5774, 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 ]
[ 4919, 867, 3128, 351, 4776, 852, 266, 17318, 10083, 46506, 327, 28270, 7203, 10430, 4943, 16034, 3084, 62, 23451, 2780, 33411, 366, 26595, 1, 796, 705, 54, 17318, 1906, 5774, 6 ]
What is the coin with a equivalency of 0.30 made of?
SELECT composition FROM table_name_67 WHERE €_equiv = "0.30"
[ 2061, 318, 262, 10752, 351, 257, 6854, 1387, 286, 657, 13, 1270, 925, 286, 30, 46506, 11742, 16034, 3084, 62, 3672, 62, 3134, 33411, 10432, 62, 4853, 452, 796, 366, 15, 13, 1270, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 10752, 351, 257, 6854, 1387, 286, 657, 13, 1270, 925, 286, 30, 46506, 11742, 16034, 3084, 62, 3672, 62, 3134, 33411, 10432, 62, 4853, 452, 796, 366, 15, 13, 1270, 1 ]
did patient 67418 receive any medication until 104 months ago?
SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 67418) AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-104 month')
[ 20839, 5827, 718, 4524, 1507, 3328, 597, 14103, 1566, 14436, 1933, 2084, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 34092, 33411, 34092, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 718, 4524, 1507, 8, 5357, 360, 1404, 2767, 12789, 7, 18302, 24370, 13, 9688, 4475, 8, 19841, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 13464, 1227, 11537 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 20839, 5827, 718, 4524, 1507, 3328, 597, 14103, 1566, 14436, 1933, 2084, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 34092, 33411, 34092, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 718, 4524, 1507, 8, 5357, 360, 1404, 2767, 12789, 7, 18302, 24370, 13, 9688, 4475, 8, 19841, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 13464, 1227, 11537 ]
What's the total of number of FA Cup that has a League small than 29 with Play-offs less than 0?
SELECT COUNT(fa_cup) FROM table_name_50 WHERE league < 29 AND play_offs < 0
[ 2061, 338, 262, 2472, 286, 1271, 286, 9677, 5454, 326, 468, 257, 4041, 1402, 621, 2808, 351, 3811, 12, 8210, 1342, 621, 657, 30, 46506, 327, 28270, 7, 13331, 62, 25244, 8, 16034, 3084, 62, 3672, 62, 1120, 33411, 4652, 1279, 2808, 5357, 711, 62, 8210, 1279, 657 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 338, 262, 2472, 286, 1271, 286, 9677, 5454, 326, 468, 257, 4041, 1402, 621, 2808, 351, 3811, 12, 8210, 1342, 621, 657, 30, 46506, 327, 28270, 7, 13331, 62, 25244, 8, 16034, 3084, 62, 3672, 62, 1120, 33411, 4652, 1279, 2808, 5357, 711, 62, 8210, 1279, 657 ]
How many millions of viewers did the episode written by Andrea Conway Kagey?
SELECT "U.S. viewers (in millions)" FROM table_73545 WHERE "Written by" = 'Andrea Conway Kagey'
[ 2437, 867, 5242, 286, 10209, 750, 262, 4471, 3194, 416, 23174, 26608, 509, 496, 88, 30, 46506, 366, 52, 13, 50, 13, 10209, 357, 259, 5242, 16725, 16034, 3084, 62, 22, 2327, 2231, 33411, 366, 25354, 416, 1, 796, 705, 1870, 21468, 26608, 509, 496, 88, 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 ]
[ 2437, 867, 5242, 286, 10209, 750, 262, 4471, 3194, 416, 23174, 26608, 509, 496, 88, 30, 46506, 366, 52, 13, 50, 13, 10209, 357, 259, 5242, 16725, 16034, 3084, 62, 22, 2327, 2231, 33411, 366, 25354, 416, 1, 796, 705, 1870, 21468, 26608, 509, 496, 88, 6 ]
Which analog channel has a digital channel of 4.1?
SELECT analog_channel FROM table_name_31 WHERE digital_channel = "4.1"
[ 13828, 15075, 6518, 468, 257, 4875, 6518, 286, 604, 13, 16, 30, 46506, 15075, 62, 17620, 16034, 3084, 62, 3672, 62, 3132, 33411, 4875, 62, 17620, 796, 366, 19, 13, 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 ]
[ 13828, 15075, 6518, 468, 257, 4875, 6518, 286, 604, 13, 16, 30, 46506, 15075, 62, 17620, 16034, 3084, 62, 3672, 62, 3132, 33411, 4875, 62, 17620, 796, 366, 19, 13, 16, 1 ]
What was the best album in 1965?
SELECT "U.S. AC" FROM table_52143 WHERE "Album" = 'the best' AND "Year" = '1965'
[ 2061, 373, 262, 1266, 5062, 287, 17672, 30, 46506, 366, 52, 13, 50, 13, 7125, 1, 16034, 3084, 62, 4309, 21139, 33411, 366, 2348, 4435, 1, 796, 705, 1169, 1266, 6, 5357, 366, 17688, 1, 796, 705, 45271, 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 ]
[ 2061, 373, 262, 1266, 5062, 287, 17672, 30, 46506, 366, 52, 13, 50, 13, 7125, 1, 16034, 3084, 62, 4309, 21139, 33411, 366, 2348, 4435, 1, 796, 705, 1169, 1266, 6, 5357, 366, 17688, 1, 796, 705, 45271, 6 ]
What is the name of the episode # 11 in the season?
SELECT title FROM table_25277262_2 WHERE no_in_season = 11
[ 2061, 318, 262, 1438, 286, 262, 4471, 1303, 1367, 287, 262, 1622, 30, 46506, 3670, 16034, 3084, 62, 1495, 27019, 29119, 62, 17, 33411, 645, 62, 259, 62, 6230, 796, 1367 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 1438, 286, 262, 4471, 1303, 1367, 287, 262, 1622, 30, 46506, 3670, 16034, 3084, 62, 1495, 27019, 29119, 62, 17, 33411, 645, 62, 259, 62, 6230, 796, 1367 ]
What is the high rank for players earning over $533,929?
SELECT MAX(rank) FROM table_name_13 WHERE earnings___$__ > 533 OFFSET 929
[ 2061, 318, 262, 1029, 4279, 329, 1938, 13748, 625, 720, 44994, 11, 24, 1959, 30, 46506, 25882, 7, 43027, 8, 16034, 3084, 62, 3672, 62, 1485, 33411, 12042, 17569, 3, 834, 1875, 642, 2091, 3963, 10652, 2767, 860, 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 ]
[ 2061, 318, 262, 1029, 4279, 329, 1938, 13748, 625, 720, 44994, 11, 24, 1959, 30, 46506, 25882, 7, 43027, 8, 16034, 3084, 62, 3672, 62, 1485, 33411, 12042, 17569, 3, 834, 1875, 642, 2091, 3963, 10652, 2767, 860, 1959 ]
What is the highest student GPA for every department? Return a bar chart.
SELECT DEPT_CODE, MAX(STU_GPA) FROM STUDENT GROUP BY DEPT_CODE
[ 2061, 318, 262, 4511, 3710, 45283, 329, 790, 5011, 30, 8229, 257, 2318, 8262, 13, 46506, 5550, 11571, 62, 34, 16820, 11, 25882, 7, 2257, 52, 62, 38, 4537, 8, 16034, 49348, 3525, 44441, 11050, 5550, 11571, 62, 34, 16820 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 4511, 3710, 45283, 329, 790, 5011, 30, 8229, 257, 2318, 8262, 13, 46506, 5550, 11571, 62, 34, 16820, 11, 25882, 7, 2257, 52, 62, 38, 4537, 8, 16034, 49348, 3525, 44441, 11050, 5550, 11571, 62, 34, 16820 ]
A bar chart about the number of faluts for different fault description recorded in the logs, order by the bar from low to high.
SELECT fault_description, COUNT(fault_description) FROM Fault_Log AS T1 JOIN Fault_Log_Parts AS T2 ON T1.fault_log_entry_id = T2.fault_log_entry_id GROUP BY fault_description ORDER BY fault_description
[ 32, 2318, 8262, 546, 262, 1271, 286, 24215, 5500, 329, 1180, 8046, 6764, 6264, 287, 262, 17259, 11, 1502, 416, 262, 2318, 422, 1877, 284, 1029, 13, 46506, 8046, 62, 11213, 11, 327, 28270, 7, 69, 1721, 62, 11213, 8, 16034, 40050, 62, 11187, 7054, 309, 16, 32357, 1268, 40050, 62, 11187, 62, 42670, 7054, 309, 17, 6177, 309, 16, 13, 69, 1721, 62, 6404, 62, 13000, 62, 312, 796, 309, 17, 13, 69, 1721, 62, 6404, 62, 13000, 62, 312, 44441, 11050, 8046, 62, 11213, 38678, 11050, 8046, 62, 11213 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 32, 2318, 8262, 546, 262, 1271, 286, 24215, 5500, 329, 1180, 8046, 6764, 6264, 287, 262, 17259, 11, 1502, 416, 262, 2318, 422, 1877, 284, 1029, 13, 46506, 8046, 62, 11213, 11, 327, 28270, 7, 69, 1721, 62, 11213, 8, 16034, 40050, 62, 11187, 7054, 309, 16, 32357, 1268, 40050, 62, 11187, 62, 42670, 7054, 309, 17, 6177, 309, 16, 13, 69, 1721, 62, 6404, 62, 13000, 62, 312, 796, 309, 17, 13, 69, 1721, 62, 6404, 62, 13000, 62, 312, 44441, 11050, 8046, 62, 11213, 38678, 11050, 8046, 62, 11213 ]
Which season reported wickets of 7th?
SELECT season FROM table_1670921_1 WHERE wicket = "7th"
[ 13828, 1622, 2098, 266, 15970, 286, 767, 400, 30, 46506, 1622, 16034, 3084, 62, 1433, 31495, 2481, 62, 16, 33411, 266, 9715, 796, 366, 22, 400, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 1622, 2098, 266, 15970, 286, 767, 400, 30, 46506, 1622, 16034, 3084, 62, 1433, 31495, 2481, 62, 16, 33411, 266, 9715, 796, 366, 22, 400, 1 ]
Calculate the average amount for all the payments processed with Visa of each day of week using a bar chart, and display y-axis in asc order.
SELECT Date_Payment_Made, AVG(Amount_Payment) FROM Payments WHERE Payment_Method_Code = 'Visa' ORDER BY AVG(Amount_Payment)
[ 9771, 3129, 378, 262, 2811, 2033, 329, 477, 262, 7524, 13686, 351, 27645, 286, 1123, 1110, 286, 1285, 1262, 257, 2318, 8262, 11, 290, 3359, 331, 12, 22704, 287, 10570, 1502, 13, 46506, 7536, 62, 19197, 434, 62, 24616, 11, 35224, 7, 31264, 62, 19197, 434, 8, 16034, 41318, 33411, 28784, 62, 17410, 62, 10669, 796, 705, 53, 9160, 6, 38678, 11050, 35224, 7, 31264, 62, 19197, 434, 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, 1, 1, 1, 1, 1 ]
[ 9771, 3129, 378, 262, 2811, 2033, 329, 477, 262, 7524, 13686, 351, 27645, 286, 1123, 1110, 286, 1285, 1262, 257, 2318, 8262, 11, 290, 3359, 331, 12, 22704, 287, 10570, 1502, 13, 46506, 7536, 62, 19197, 434, 62, 24616, 11, 35224, 7, 31264, 62, 19197, 434, 8, 16034, 41318, 33411, 28784, 62, 17410, 62, 10669, 796, 705, 53, 9160, 6, 38678, 11050, 35224, 7, 31264, 62, 19197, 434, 8 ]
provide the number of patients whose admission location is emergency room admit and primary disease is liver transplant?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND demographic.diagnosis = "LIVER TRANSPLANT"
[ 15234, 485, 262, 1271, 286, 3871, 3025, 13938, 4067, 318, 6334, 2119, 9159, 290, 4165, 4369, 318, 14383, 23319, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 324, 3411, 62, 24886, 796, 366, 3620, 49837, 45155, 15107, 2662, 5984, 36393, 1, 5357, 16728, 13, 47356, 5958, 796, 366, 43, 38757, 48213, 4303, 43, 8643, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15234, 485, 262, 1271, 286, 3871, 3025, 13938, 4067, 318, 6334, 2119, 9159, 290, 4165, 4369, 318, 14383, 23319, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 33411, 16728, 13, 324, 3411, 62, 24886, 796, 366, 3620, 49837, 45155, 15107, 2662, 5984, 36393, 1, 5357, 16728, 13, 47356, 5958, 796, 366, 43, 38757, 48213, 4303, 43, 8643, 1 ]
For those employees who did not have any job in the past, visualize a bar chart about the distribution of job_id and the average of manager_id , and group by attribute job_id, and display Y-axis in asc order.
SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY AVG(MANAGER_ID)
[ 1890, 883, 4409, 508, 750, 407, 423, 597, 1693, 287, 262, 1613, 11, 38350, 257, 2318, 8262, 546, 262, 6082, 286, 1693, 62, 312, 290, 262, 2811, 286, 4706, 62, 312, 837, 290, 1448, 416, 11688, 1693, 62, 312, 11, 290, 3359, 575, 12, 22704, 287, 10570, 1502, 13, 46506, 449, 9864, 62, 2389, 11, 35224, 7, 10725, 4760, 1137, 62, 2389, 8, 16034, 4409, 33411, 5626, 17228, 6489, 21414, 6500, 62, 2389, 3268, 357, 46506, 17228, 6489, 21414, 6500, 62, 2389, 16034, 1693, 62, 23569, 8, 44441, 11050, 449, 9864, 62, 2389, 38678, 11050, 35224, 7, 10725, 4760, 1137, 62, 2389, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4409, 508, 750, 407, 423, 597, 1693, 287, 262, 1613, 11, 38350, 257, 2318, 8262, 546, 262, 6082, 286, 1693, 62, 312, 290, 262, 2811, 286, 4706, 62, 312, 837, 290, 1448, 416, 11688, 1693, 62, 312, 11, 290, 3359, 575, 12, 22704, 287, 10570, 1502, 13, 46506, 449, 9864, 62, 2389, 11, 35224, 7, 10725, 4760, 1137, 62, 2389, 8, 16034, 4409, 33411, 5626, 17228, 6489, 21414, 6500, 62, 2389, 3268, 357, 46506, 17228, 6489, 21414, 6500, 62, 2389, 16034, 1693, 62, 23569, 8, 44441, 11050, 449, 9864, 62, 2389, 38678, 11050, 35224, 7, 10725, 4760, 1137, 62, 2389, 8 ]
What is the smallest pick number for McGill?
SELECT MIN("Pick #") FROM table_24269 WHERE "College" = 'McGill'
[ 2061, 318, 262, 18197, 2298, 1271, 329, 40595, 30, 46506, 20625, 7203, 31686, 1303, 4943, 16034, 3084, 62, 1731, 26276, 33411, 366, 38951, 1, 796, 705, 9742, 38, 359, 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 ]
[ 2061, 318, 262, 18197, 2298, 1271, 329, 40595, 30, 46506, 20625, 7203, 31686, 1303, 4943, 16034, 3084, 62, 1731, 26276, 33411, 366, 38951, 1, 796, 705, 9742, 38, 359, 6 ]
how many bubbles with category being input
SELECT COUNT(bubbles) FROM table_1507852_5 WHERE category = "Input"
[ 4919, 867, 25037, 351, 6536, 852, 5128, 46506, 327, 28270, 7, 46176, 7689, 8, 16034, 3084, 62, 8628, 3695, 4309, 62, 20, 33411, 6536, 796, 366, 20560, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 25037, 351, 6536, 852, 5128, 46506, 327, 28270, 7, 46176, 7689, 8, 16034, 3084, 62, 8628, 3695, 4309, 62, 20, 33411, 6536, 796, 366, 20560, 1 ]
count the number of patients who have been discharged from a hospital since 2104.
SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE NOT admissions.dischtime IS NULL AND STRFTIME('%y', admissions.dischtime) >= '2104'
[ 9127, 262, 1271, 286, 3871, 508, 423, 587, 26476, 422, 257, 4436, 1201, 362, 13464, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 25349, 13, 32796, 62, 312, 8, 16034, 25349, 33411, 5626, 25349, 13, 6381, 354, 2435, 3180, 15697, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 25349, 13, 6381, 354, 2435, 8, 18189, 705, 17, 13464, 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 ]
[ 9127, 262, 1271, 286, 3871, 508, 423, 587, 26476, 422, 257, 4436, 1201, 362, 13464, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 25349, 13, 32796, 62, 312, 8, 16034, 25349, 33411, 5626, 25349, 13, 6381, 354, 2435, 3180, 15697, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 25349, 13, 6381, 354, 2435, 8, 18189, 705, 17, 13464, 6 ]
in this year vancomycin, oxycodone liquid or ns (mini bag plus) have been prescribed for patient 8421?
SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8421) AND prescriptions.drug IN ('vancomycin', 'oxycodone liquid', 'ns (mini bag plus)') AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')
[ 259, 428, 614, 5719, 785, 88, 17879, 11, 10661, 19815, 505, 8122, 393, 36545, 357, 45313, 6131, 5556, 8, 423, 587, 14798, 329, 5827, 9508, 2481, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 34092, 33411, 34092, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 9508, 2481, 8, 5357, 34092, 13, 30349, 3268, 19203, 10438, 785, 88, 17879, 3256, 705, 23536, 19815, 505, 8122, 3256, 705, 5907, 357, 45313, 6131, 5556, 8, 11537, 5357, 360, 1404, 2767, 12789, 7, 18302, 24370, 13, 9688, 4475, 11, 705, 9688, 286, 614, 11537, 796, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 9688, 286, 614, 3256, 705, 12, 15, 614, 11537 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 259, 428, 614, 5719, 785, 88, 17879, 11, 10661, 19815, 505, 8122, 393, 36545, 357, 45313, 6131, 5556, 8, 423, 587, 14798, 329, 5827, 9508, 2481, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 34092, 33411, 34092, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 9508, 2481, 8, 5357, 34092, 13, 30349, 3268, 19203, 10438, 785, 88, 17879, 3256, 705, 23536, 19815, 505, 8122, 3256, 705, 5907, 357, 45313, 6131, 5556, 8, 11537, 5357, 360, 1404, 2767, 12789, 7, 18302, 24370, 13, 9688, 4475, 11, 705, 9688, 286, 614, 11537, 796, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 9688, 286, 614, 3256, 705, 12, 15, 614, 11537 ]
What's the total attendance of the leagues in season of 2010?
SELECT COUNT(total_attendance) FROM table_10815352_1 WHERE season = "2010"
[ 2061, 338, 262, 2472, 14858, 286, 262, 16861, 287, 1622, 286, 3050, 30, 46506, 327, 28270, 7, 23350, 62, 1078, 437, 590, 8, 16034, 3084, 62, 15711, 1314, 33394, 62, 16, 33411, 1622, 796, 366, 10333, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 338, 262, 2472, 14858, 286, 262, 16861, 287, 1622, 286, 3050, 30, 46506, 327, 28270, 7, 23350, 62, 1078, 437, 590, 8, 16034, 3084, 62, 15711, 1314, 33394, 62, 16, 33411, 1622, 796, 366, 10333, 1 ]
Show institution names along with the number of proteins for each institution in a bar chart.
SELECT Institution, COUNT(*) FROM Institution AS T1 JOIN protein AS T2 ON T1.Institution_id = T2.Institution_id GROUP BY T1.Institution_id
[ 15307, 9901, 3891, 1863, 351, 262, 1271, 286, 15568, 329, 1123, 9901, 287, 257, 2318, 8262, 13, 46506, 29426, 11, 327, 28270, 7, 28104, 16034, 29426, 7054, 309, 16, 32357, 1268, 7532, 7054, 309, 17, 6177, 309, 16, 13, 6310, 2738, 62, 312, 796, 309, 17, 13, 6310, 2738, 62, 312, 44441, 11050, 309, 16, 13, 6310, 2738, 62, 312 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 9901, 3891, 1863, 351, 262, 1271, 286, 15568, 329, 1123, 9901, 287, 257, 2318, 8262, 13, 46506, 29426, 11, 327, 28270, 7, 28104, 16034, 29426, 7054, 309, 16, 32357, 1268, 7532, 7054, 309, 17, 6177, 309, 16, 13, 6310, 2738, 62, 312, 796, 309, 17, 13, 6310, 2738, 62, 312, 44441, 11050, 309, 16, 13, 6310, 2738, 62, 312 ]
What is the average laps for the grid smaller than 21 for Renzo Zorzi?
SELECT AVG(laps) FROM table_name_6 WHERE grid < 21 AND driver = "renzo zorzi"
[ 2061, 318, 262, 2811, 24590, 329, 262, 10706, 4833, 621, 2310, 329, 7152, 10872, 1168, 273, 17027, 30, 46506, 35224, 7, 75, 1686, 8, 16034, 3084, 62, 3672, 62, 21, 33411, 10706, 1279, 2310, 5357, 4639, 796, 366, 918, 10872, 1976, 273, 17027, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 2811, 24590, 329, 262, 10706, 4833, 621, 2310, 329, 7152, 10872, 1168, 273, 17027, 30, 46506, 35224, 7, 75, 1686, 8, 16034, 3084, 62, 3672, 62, 21, 33411, 10706, 1279, 2310, 5357, 4639, 796, 366, 918, 10872, 1976, 273, 17027, 1 ]
what is minimum age of patients whose marital status is widowed and gender is m?
SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.gender = "M"
[ 10919, 318, 5288, 2479, 286, 3871, 3025, 29555, 3722, 318, 9214, 6972, 290, 5279, 318, 285, 30, 46506, 20625, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 3876, 1287, 62, 13376, 796, 366, 54, 2389, 3913, 1961, 1, 5357, 16728, 13, 8388, 796, 366, 44, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 5288, 2479, 286, 3871, 3025, 29555, 3722, 318, 9214, 6972, 290, 5279, 318, 285, 30, 46506, 20625, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 3876, 1287, 62, 13376, 796, 366, 54, 2389, 3913, 1961, 1, 5357, 16728, 13, 8388, 796, 366, 44, 1 ]
Find the number of members living in each address Show bar chart, list in desc by the bar.
SELECT Address, COUNT(*) FROM member GROUP BY Address ORDER BY Address DESC
[ 16742, 262, 1271, 286, 1866, 2877, 287, 1123, 2209, 5438, 2318, 8262, 11, 1351, 287, 1715, 416, 262, 2318, 13, 46506, 17917, 11, 327, 28270, 7, 28104, 16034, 2888, 44441, 11050, 17917, 38678, 11050, 17917, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 16742, 262, 1271, 286, 1866, 2877, 287, 1123, 2209, 5438, 2318, 8262, 11, 1351, 287, 1715, 416, 262, 2318, 13, 46506, 17917, 11, 327, 28270, 7, 28104, 16034, 2888, 44441, 11050, 17917, 38678, 11050, 17917, 22196, 34 ]
have any microbiological testing been done on patient 42473's fluid wound in this month?
SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 42473) AND microbiologyevents.spec_type_desc = 'fluid wound' AND DATETIME(microbiologyevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month')
[ 14150, 597, 24559, 2770, 4856, 587, 1760, 319, 5827, 48252, 4790, 338, 11711, 11699, 287, 428, 1227, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 24559, 1435, 31534, 33411, 24559, 1435, 31534, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 48252, 4790, 8, 5357, 24559, 1435, 31534, 13, 16684, 62, 4906, 62, 20147, 796, 705, 35522, 312, 11699, 6, 5357, 360, 1404, 2767, 12789, 7, 24055, 43592, 31534, 13, 40926, 2435, 11, 705, 9688, 286, 1227, 11537, 796, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 9688, 286, 1227, 3256, 705, 12, 15, 1227, 11537 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 14150, 597, 24559, 2770, 4856, 587, 1760, 319, 5827, 48252, 4790, 338, 11711, 11699, 287, 428, 1227, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 24559, 1435, 31534, 33411, 24559, 1435, 31534, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 48252, 4790, 8, 5357, 24559, 1435, 31534, 13, 16684, 62, 4906, 62, 20147, 796, 705, 35522, 312, 11699, 6, 5357, 360, 1404, 2767, 12789, 7, 24055, 43592, 31534, 13, 40926, 2435, 11, 705, 9688, 286, 1227, 11537, 796, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 9688, 286, 1227, 3256, 705, 12, 15, 1227, 11537 ]
how many sections does each course has?, and show in asc by the CRS_CODE.
SELECT CRS_CODE, COUNT(*) FROM CLASS GROUP BY CRS_CODE ORDER BY CRS_CODE
[ 4919, 867, 9004, 857, 1123, 1781, 468, 21747, 290, 905, 287, 10570, 416, 262, 327, 6998, 62, 34, 16820, 13, 46506, 327, 6998, 62, 34, 16820, 11, 327, 28270, 7, 28104, 16034, 42715, 44441, 11050, 327, 6998, 62, 34, 16820, 38678, 11050, 327, 6998, 62, 34, 16820 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 9004, 857, 1123, 1781, 468, 21747, 290, 905, 287, 10570, 416, 262, 327, 6998, 62, 34, 16820, 13, 46506, 327, 6998, 62, 34, 16820, 11, 327, 28270, 7, 28104, 16034, 42715, 44441, 11050, 327, 6998, 62, 34, 16820, 38678, 11050, 327, 6998, 62, 34, 16820 ]
What is the incumbent from 1941?
SELECT incumbent FROM table_1342233_24 WHERE first_elected = 1941
[ 2061, 318, 262, 23526, 422, 23234, 30, 46506, 23526, 16034, 3084, 62, 19880, 1828, 2091, 62, 1731, 33411, 717, 62, 28604, 796, 23234 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 23526, 422, 23234, 30, 46506, 23526, 16034, 3084, 62, 19880, 1828, 2091, 62, 1731, 33411, 717, 62, 28604, 796, 23234 ]
Who is the player from the United States with a 75-70-68=211 score?
SELECT player FROM table_name_94 WHERE country = "united states" AND score = 75 - 70 - 68 = 211
[ 8241, 318, 262, 2137, 422, 262, 1578, 1829, 351, 257, 5441, 12, 2154, 12, 3104, 28, 21895, 4776, 30, 46506, 2137, 16034, 3084, 62, 3672, 62, 5824, 33411, 1499, 796, 366, 41187, 2585, 1, 5357, 4776, 796, 5441, 532, 4317, 532, 8257, 796, 28714 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8241, 318, 262, 2137, 422, 262, 1578, 1829, 351, 257, 5441, 12, 2154, 12, 3104, 28, 21895, 4776, 30, 46506, 2137, 16034, 3084, 62, 3672, 62, 5824, 33411, 1499, 796, 366, 41187, 2585, 1, 5357, 4776, 796, 5441, 532, 4317, 532, 8257, 796, 28714 ]
Visualize a bar chart to show how many players in each occupation, and show from low to high by the y-axis please.
SELECT Occupation, COUNT(Occupation) FROM player GROUP BY Occupation ORDER BY COUNT(Occupation)
[ 36259, 1096, 257, 2318, 8262, 284, 905, 703, 867, 1938, 287, 1123, 13755, 11, 290, 905, 422, 1877, 284, 1029, 416, 262, 331, 12, 22704, 3387, 13, 46506, 15227, 341, 11, 327, 28270, 7, 47658, 341, 8, 16034, 2137, 44441, 11050, 15227, 341, 38678, 11050, 327, 28270, 7, 47658, 341, 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 ]
[ 36259, 1096, 257, 2318, 8262, 284, 905, 703, 867, 1938, 287, 1123, 13755, 11, 290, 905, 422, 1877, 284, 1029, 416, 262, 331, 12, 22704, 3387, 13, 46506, 15227, 341, 11, 327, 28270, 7, 47658, 341, 8, 16034, 2137, 44441, 11050, 15227, 341, 38678, 11050, 327, 28270, 7, 47658, 341, 8 ]
Find the ids of orders which are shipped after 2000-01-01.
SELECT order_id FROM shipments WHERE shipment_date > "2000-01-01"
[ 16742, 262, 220, 2340, 286, 6266, 543, 389, 14338, 706, 4751, 12, 486, 12, 486, 13, 46506, 1502, 62, 312, 16034, 29311, 33411, 28652, 62, 4475, 1875, 366, 11024, 12, 486, 12, 486, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 16742, 262, 220, 2340, 286, 6266, 543, 389, 14338, 706, 4751, 12, 486, 12, 486, 13, 46506, 1502, 62, 312, 16034, 29311, 33411, 28652, 62, 4475, 1875, 366, 11024, 12, 486, 12, 486, 1 ]
what is the first flight from ATLANTA to BOSTON on thursday september fifth that leaves after 800
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((date_day.day_number = 24 AND date_day.month_number = 5 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.departure_time > 800 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time = (SELECT MIN(FLIGHTalias1.departure_time) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias1, days AS DAYSalias1, flight AS FLIGHTalias1 WHERE ((DATE_DAYalias1.day_number = 24 AND DATE_DAYalias1.month_number = 5 AND DATE_DAYalias1.year = 1991 AND DAYSalias1.day_name = DATE_DAYalias1.day_name AND FLIGHTalias1.departure_time > 800 AND FLIGHTalias1.flight_days = DAYSalias1.days_code) AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'BOSTON' AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'ATLANTA' AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code)
[ 10919, 318, 262, 717, 5474, 422, 5161, 25697, 5603, 284, 347, 10892, 1340, 319, 294, 3479, 384, 457, 1491, 8150, 326, 5667, 706, 10460, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 3128, 62, 820, 11, 1528, 11, 5474, 33411, 14808, 7, 4475, 62, 820, 13, 820, 62, 17618, 796, 1987, 5357, 3128, 62, 820, 13, 8424, 62, 17618, 796, 642, 5357, 3128, 62, 820, 13, 1941, 796, 10249, 5357, 1528, 13, 820, 62, 3672, 796, 3128, 62, 820, 13, 820, 62, 3672, 5357, 5474, 13, 10378, 433, 495, 62, 2435, 1875, 10460, 5357, 5474, 13, 22560, 62, 12545, 796, 1528, 13, 12545, 62, 8189, 8, 5357, 27993, 62, 16, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 16, 13, 19205, 62, 8189, 5357, 27993, 62, 16, 13, 19205, 62, 3672, 796, 705, 8202, 41924, 6, 5357, 5474, 13, 1462, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 62, 16, 13, 958, 634, 62, 8189, 8, 5357, 27993, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 1404, 25697, 5603, 6, 5357, 5474, 13, 6738, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 958, 634, 62, 8189, 8, 5357, 5474, 13, 10378, 433, 495, 62, 2435, 796, 357, 46506, 20625, 7, 3697, 9947, 26011, 16, 13, 10378, 433, 495, 62, 2435, 8, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 26011, 17, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 26011, 18, 11, 1748, 7054, 27993, 26011, 17, 11, 1748, 7054, 27993, 26011, 18, 11, 3128, 62, 820, 7054, 360, 6158, 62, 26442, 26011, 16, 11, 1528, 7054, 24644, 19221, 4448, 16, 11, 5474, 7054, 9977, 9947, 26011, 16, 33411, 14808, 35, 6158, 62, 26442, 26011, 16, 13, 820, 62, 17618, 796, 1987, 5357, 360, 6158, 62, 26442, 26011, 16, 13, 8424, 62, 17618, 796, 642, 5357, 360, 6158, 62, 26442, 26011, 16, 13, 1941, 796, 10249, 5357, 24644, 19221, 4448, 16, 13, 820, 62, 3672, 796, 360, 6158, 62, 26442, 26011, 16, 13, 820, 62, 3672, 5357, 9977, 9947, 26011, 16, 13, 10378, 433, 495, 62, 2435, 1875, 10460, 5357, 9977, 9947, 26011, 16, 13, 22560, 62, 12545, 796, 24644, 19221, 4448, 16, 13, 12545, 62, 8189, 8, 5357, 27993, 26011, 18, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 26011, 18, 13, 19205, 62, 8189, 5357, 27993, 26011, 18, 13, 19205, 62, 3672, 796, 705, 8202, 41924, 6, 5357, 9977, 9947, 26011, 16, 13, 1462, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 26011, 18, 13, 958, 634, 62, 8189, 8, 5357, 27993, 26011, 17, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 26011, 17, 13, 19205, 62, 8189, 5357, 27993, 26011, 17, 13, 19205, 62, 3672, 796, 705, 1404, 25697, 5603, 6, 5357, 9977, 9947, 26011, 16, 13, 6738, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 26011, 17, 13, 958, 634, 62, 8189, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 717, 5474, 422, 5161, 25697, 5603, 284, 347, 10892, 1340, 319, 294, 3479, 384, 457, 1491, 8150, 326, 5667, 706, 10460, 46506, 360, 8808, 1268, 4177, 5474, 13, 22560, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 3128, 62, 820, 11, 1528, 11, 5474, 33411, 14808, 7, 4475, 62, 820, 13, 820, 62, 17618, 796, 1987, 5357, 3128, 62, 820, 13, 8424, 62, 17618, 796, 642, 5357, 3128, 62, 820, 13, 1941, 796, 10249, 5357, 1528, 13, 820, 62, 3672, 796, 3128, 62, 820, 13, 820, 62, 3672, 5357, 5474, 13, 10378, 433, 495, 62, 2435, 1875, 10460, 5357, 5474, 13, 22560, 62, 12545, 796, 1528, 13, 12545, 62, 8189, 8, 5357, 27993, 62, 16, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 16, 13, 19205, 62, 8189, 5357, 27993, 62, 16, 13, 19205, 62, 3672, 796, 705, 8202, 41924, 6, 5357, 5474, 13, 1462, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 62, 16, 13, 958, 634, 62, 8189, 8, 5357, 27993, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 1404, 25697, 5603, 6, 5357, 5474, 13, 6738, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 958, 634, 62, 8189, 8, 5357, 5474, 13, 10378, 433, 495, 62, 2435, 796, 357, 46506, 20625, 7, 3697, 9947, 26011, 16, 13, 10378, 433, 495, 62, 2435, 8, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 26011, 17, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 26011, 18, 11, 1748, 7054, 27993, 26011, 17, 11, 1748, 7054, 27993, 26011, 18, 11, 3128, 62, 820, 7054, 360, 6158, 62, 26442, 26011, 16, 11, 1528, 7054, 24644, 19221, 4448, 16, 11, 5474, 7054, 9977, 9947, 26011, 16, 33411, 14808, 35, 6158, 62, 26442, 26011, 16, 13, 820, 62, 17618, 796, 1987, 5357, 360, 6158, 62, 26442, 26011, 16, 13, 8424, 62, 17618, 796, 642, 5357, 360, 6158, 62, 26442, 26011, 16, 13, 1941, 796, 10249, 5357, 24644, 19221, 4448, 16, 13, 820, 62, 3672, 796, 360, 6158, 62, 26442, 26011, 16, 13, 820, 62, 3672, 5357, 9977, 9947, 26011, 16, 13, 10378, 433, 495, 62, 2435, 1875, 10460, 5357, 9977, 9947, 26011, 16, 13, 22560, 62, 12545, 796, 24644, 19221, 4448, 16, 13, 12545, 62, 8189, 8, 5357, 27993, 26011, 18, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 26011, 18, 13, 19205, 62, 8189, 5357, 27993, 26011, 18, 13, 19205, 62, 3672, 796, 705, 8202, 41924, 6, 5357, 9977, 9947, 26011, 16, 13, 1462, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 26011, 18, 13, 958, 634, 62, 8189, 8, 5357, 27993, 26011, 17, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 26011, 17, 13, 19205, 62, 8189, 5357, 27993, 26011, 17, 13, 19205, 62, 3672, 796, 705, 1404, 25697, 5603, 6, 5357, 9977, 9947, 26011, 16, 13, 6738, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 26011, 17, 13, 958, 634, 62, 8189, 8 ]
What team is located in brooklyn?
SELECT "Team" FROM table_49128 WHERE "City" = 'brooklyn'
[ 2061, 1074, 318, 5140, 287, 1379, 482, 6213, 30, 46506, 366, 15592, 1, 16034, 3084, 62, 2920, 12762, 33411, 366, 14941, 1, 796, 705, 19094, 6213, 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 ]
[ 2061, 1074, 318, 5140, 287, 1379, 482, 6213, 30, 46506, 366, 15592, 1, 16034, 3084, 62, 2920, 12762, 33411, 366, 14941, 1, 796, 705, 19094, 6213, 6 ]
find the number of patients who have been admitted in hospital.
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient
[ 19796, 262, 1271, 286, 3871, 508, 423, 587, 6848, 287, 4436, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 5827, 13, 403, 1557, 538, 312, 8, 16034, 5827 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 19796, 262, 1271, 286, 3871, 508, 423, 587, 6848, 287, 4436, 13, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 5827, 13, 403, 1557, 538, 312, 8, 16034, 5827 ]
How many times is a particular number the first digit in a byte count..
SELECT COUNT(Id) FROM Posts WHERE LOWER(Body) LIKE '% 9% byte%'
[ 2437, 867, 1661, 318, 257, 1948, 1271, 262, 717, 16839, 287, 257, 18022, 954, 492, 46506, 327, 28270, 7, 7390, 8, 16034, 12043, 33411, 406, 36048, 7, 25842, 8, 34178, 705, 4, 860, 4, 18022, 4, 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 ]
[ 2437, 867, 1661, 318, 257, 1948, 1271, 262, 717, 16839, 287, 257, 18022, 954, 492, 46506, 327, 28270, 7, 7390, 8, 16034, 12043, 33411, 406, 36048, 7, 25842, 8, 34178, 705, 4, 860, 4, 18022, 4, 6 ]
Find comments with specified text based upon length.
SELECT c.Text, c.Id AS "comment_link", CreationDate FROM Comments AS c WHERE c.Text LIKE '%##keyword##%' AND LENGTH(c.Text) <= 25 ORDER BY CreationDate DESC LIMIT 100
[ 16742, 3651, 351, 7368, 2420, 1912, 2402, 4129, 13, 46506, 269, 13, 8206, 11, 269, 13, 7390, 7054, 366, 23893, 62, 8726, 1600, 21582, 10430, 16034, 19502, 7054, 269, 33411, 269, 13, 8206, 34178, 705, 4, 2235, 2539, 4775, 2235, 4, 6, 5357, 406, 49494, 7, 66, 13, 8206, 8, 19841, 1679, 38678, 11050, 21582, 10430, 22196, 34, 27564, 2043, 1802 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 16742, 3651, 351, 7368, 2420, 1912, 2402, 4129, 13, 46506, 269, 13, 8206, 11, 269, 13, 7390, 7054, 366, 23893, 62, 8726, 1600, 21582, 10430, 16034, 19502, 7054, 269, 33411, 269, 13, 8206, 34178, 705, 4, 2235, 2539, 4775, 2235, 4, 6, 5357, 406, 49494, 7, 66, 13, 8206, 8, 19841, 1679, 38678, 11050, 21582, 10430, 22196, 34, 27564, 2043, 1802 ]
Name the october for july of kimberley stanfield
SELECT "October" FROM table_69136 WHERE "July" = 'kimberley stanfield'
[ 5376, 262, 19318, 2023, 329, 474, 2062, 286, 479, 320, 527, 1636, 336, 272, 3245, 46506, 366, 18517, 1, 16034, 3084, 62, 3388, 20809, 33411, 366, 16157, 1, 796, 705, 74, 320, 527, 1636, 336, 272, 3245, 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 ]
[ 5376, 262, 19318, 2023, 329, 474, 2062, 286, 479, 320, 527, 1636, 336, 272, 3245, 46506, 366, 18517, 1, 16034, 3084, 62, 3388, 20809, 33411, 366, 16157, 1, 796, 705, 74, 320, 527, 1636, 336, 272, 3245, 6 ]
Show me about the distribution of meter_600 and ID in a bar chart, and rank by the meter_600 from high to low.
SELECT meter_600, ID FROM swimmer ORDER BY meter_600 DESC
[ 15307, 502, 546, 262, 6082, 286, 16430, 62, 8054, 290, 4522, 287, 257, 2318, 8262, 11, 290, 4279, 416, 262, 16430, 62, 8054, 422, 1029, 284, 1877, 13, 46506, 16430, 62, 8054, 11, 4522, 16034, 9422, 647, 38678, 11050, 16430, 62, 8054, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 502, 546, 262, 6082, 286, 16430, 62, 8054, 290, 4522, 287, 257, 2318, 8262, 11, 290, 4279, 416, 262, 16430, 62, 8054, 422, 1029, 284, 1877, 13, 46506, 16430, 62, 8054, 11, 4522, 16034, 9422, 647, 38678, 11050, 16430, 62, 8054, 22196, 34 ]
How many points does footscray score as the home side?
SELECT "Home team score" FROM table_74660 WHERE "Home team" = 'footscray'
[ 2437, 867, 2173, 857, 2366, 1416, 2433, 4776, 355, 262, 1363, 1735, 30, 46506, 366, 16060, 1074, 4776, 1, 16034, 3084, 62, 22, 3510, 1899, 33411, 366, 16060, 1074, 1, 796, 705, 5898, 1416, 2433, 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 ]
[ 2437, 867, 2173, 857, 2366, 1416, 2433, 4776, 355, 262, 1363, 1735, 30, 46506, 366, 16060, 1074, 4776, 1, 16034, 3084, 62, 22, 3510, 1899, 33411, 366, 16060, 1074, 1, 796, 705, 5898, 1416, 2433, 6 ]
What is the version aired on SBS 6 called?
SELECT name FROM table_27487310_5 WHERE network = "SBS 6"
[ 2061, 318, 262, 2196, 18530, 319, 311, 4462, 718, 1444, 30, 46506, 1438, 16034, 3084, 62, 1983, 2780, 4790, 940, 62, 20, 33411, 3127, 796, 366, 50, 4462, 718, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 2196, 18530, 319, 311, 4462, 718, 1444, 30, 46506, 1438, 16034, 3084, 62, 1983, 2780, 4790, 940, 62, 20, 33411, 3127, 796, 366, 50, 4462, 718, 1 ]
What is the maximum and minimum grade point of students who live in NYC?
SELECT MAX(T2.gradepoint), MIN(T2.gradepoint) FROM ENROLLED_IN AS T1 JOIN GRADECONVERSION AS T2 JOIN STUDENT AS T3 ON T1.Grade = T2.lettergrade AND T1.StuID = T3.StuID WHERE T3.city_code = "NYC"
[ 2061, 318, 262, 5415, 290, 5288, 9559, 966, 286, 2444, 508, 2107, 287, 19170, 30, 46506, 25882, 7, 51, 17, 13, 9744, 538, 1563, 828, 20625, 7, 51, 17, 13, 9744, 538, 1563, 8, 16034, 12964, 13252, 3069, 1961, 62, 1268, 7054, 309, 16, 32357, 1268, 10863, 2885, 2943, 1340, 43717, 7054, 309, 17, 32357, 1268, 49348, 3525, 7054, 309, 18, 6177, 309, 16, 13, 42233, 796, 309, 17, 13, 9291, 9526, 5357, 309, 16, 13, 1273, 84, 2389, 796, 309, 18, 13, 1273, 84, 2389, 33411, 309, 18, 13, 19205, 62, 8189, 796, 366, 12805, 34, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 5415, 290, 5288, 9559, 966, 286, 2444, 508, 2107, 287, 19170, 30, 46506, 25882, 7, 51, 17, 13, 9744, 538, 1563, 828, 20625, 7, 51, 17, 13, 9744, 538, 1563, 8, 16034, 12964, 13252, 3069, 1961, 62, 1268, 7054, 309, 16, 32357, 1268, 10863, 2885, 2943, 1340, 43717, 7054, 309, 17, 32357, 1268, 49348, 3525, 7054, 309, 18, 6177, 309, 16, 13, 42233, 796, 309, 17, 13, 9291, 9526, 5357, 309, 16, 13, 1273, 84, 2389, 796, 309, 18, 13, 1273, 84, 2389, 33411, 309, 18, 13, 19205, 62, 8189, 796, 366, 12805, 34, 1 ]
What week did the member who's original tribe was shark and who was sent to the third island on week 14 arrive on the main island?
SELECT "Week Arrived On Main Island" FROM table_72227 WHERE "Original Tribe" = 'Shark' AND "Week Sent To Third Island" = '14'
[ 2061, 1285, 750, 262, 2888, 508, 338, 2656, 14893, 373, 21027, 290, 508, 373, 1908, 284, 262, 2368, 7022, 319, 1285, 1478, 9240, 319, 262, 1388, 7022, 30, 46506, 366, 20916, 27350, 1079, 1550, 8774, 5451, 1, 16034, 3084, 62, 22, 1828, 1983, 33411, 366, 20556, 27804, 1, 796, 705, 2484, 668, 6, 5357, 366, 20916, 11352, 1675, 10467, 5451, 1, 796, 705, 1415, 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, 1 ]
[ 2061, 1285, 750, 262, 2888, 508, 338, 2656, 14893, 373, 21027, 290, 508, 373, 1908, 284, 262, 2368, 7022, 319, 1285, 1478, 9240, 319, 262, 1388, 7022, 30, 46506, 366, 20916, 27350, 1079, 1550, 8774, 5451, 1, 16034, 3084, 62, 22, 1828, 1983, 33411, 366, 20556, 27804, 1, 796, 705, 2484, 668, 6, 5357, 366, 20916, 11352, 1675, 10467, 5451, 1, 796, 705, 1415, 6 ]
What airport is in Muscat?
SELECT "Airport" FROM table_45671 WHERE "City" = 'muscat'
[ 2061, 9003, 318, 287, 2629, 9246, 30, 46506, 366, 16170, 634, 1, 16034, 3084, 62, 2231, 46250, 33411, 366, 14941, 1, 796, 705, 14664, 9246, 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 ]
[ 2061, 9003, 318, 287, 2629, 9246, 30, 46506, 366, 16170, 634, 1, 16034, 3084, 62, 2231, 46250, 33411, 366, 14941, 1, 796, 705, 14664, 9246, 6 ]
In the game where richmond was the away team, what venue was it played at?
SELECT "Venue" FROM table_57944 WHERE "Away team" = 'richmond'
[ 818, 262, 983, 810, 5527, 6327, 373, 262, 1497, 1074, 11, 644, 14359, 373, 340, 2826, 379, 30, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 41734, 2598, 33411, 366, 32, 1014, 1074, 1, 796, 705, 7527, 6327, 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 ]
[ 818, 262, 983, 810, 5527, 6327, 373, 262, 1497, 1074, 11, 644, 14359, 373, 340, 2826, 379, 30, 46506, 366, 37522, 518, 1, 16034, 3084, 62, 41734, 2598, 33411, 366, 32, 1014, 1074, 1, 796, 705, 7527, 6327, 6 ]
Show all role codes and the number of employees in each role Show bar chart, I want to rank from high to low by the Y-axis please.
SELECT Role_Code, COUNT(*) FROM Employees GROUP BY Role_Code ORDER BY COUNT(*) DESC
[ 15307, 477, 2597, 12416, 290, 262, 1271, 286, 4409, 287, 1123, 2597, 5438, 2318, 8262, 11, 314, 765, 284, 4279, 422, 1029, 284, 1877, 416, 262, 575, 12, 22704, 3387, 13, 46506, 20934, 62, 10669, 11, 327, 28270, 7, 28104, 16034, 30260, 44441, 11050, 20934, 62, 10669, 38678, 11050, 327, 28270, 7, 28104, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 477, 2597, 12416, 290, 262, 1271, 286, 4409, 287, 1123, 2597, 5438, 2318, 8262, 11, 314, 765, 284, 4279, 422, 1029, 284, 1877, 416, 262, 575, 12, 22704, 3387, 13, 46506, 20934, 62, 10669, 11, 327, 28270, 7, 28104, 16034, 30260, 44441, 11050, 20934, 62, 10669, 38678, 11050, 327, 28270, 7, 28104, 22196, 34 ]
creatinine clearance < 60 by cockcroft _ gault calculator
SELECT * FROM table_dev_58 WHERE creatinine_clearance_cl < 60
[ 20123, 259, 500, 19745, 1279, 3126, 416, 7540, 36714, 4808, 308, 1721, 28260, 46506, 1635, 16034, 3084, 62, 7959, 62, 3365, 33411, 1827, 259, 500, 62, 20063, 590, 62, 565, 1279, 3126 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 20123, 259, 500, 19745, 1279, 3126, 416, 7540, 36714, 4808, 308, 1721, 28260, 46506, 1635, 16034, 3084, 62, 7959, 62, 3365, 33411, 1827, 259, 500, 62, 20063, 590, 62, 565, 1279, 3126 ]
What was the date of the game played at Fenway Park?
SELECT date FROM table_name_28 WHERE game_site = "fenway park"
[ 2061, 373, 262, 3128, 286, 262, 983, 2826, 379, 19426, 1014, 3250, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 2078, 33411, 983, 62, 15654, 796, 366, 41037, 1014, 3952, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 373, 262, 3128, 286, 262, 983, 2826, 379, 19426, 1014, 3250, 30, 46506, 3128, 16034, 3084, 62, 3672, 62, 2078, 33411, 983, 62, 15654, 796, 366, 41037, 1014, 3952, 1 ]
What is the average Gold entry for the Netherlands that also has a Bronze entry that is greater than 0?
SELECT AVG(gold) FROM table_name_19 WHERE nation = "netherlands" AND bronze > 0
[ 2061, 318, 262, 2811, 3561, 5726, 329, 262, 12671, 326, 635, 468, 257, 19461, 5726, 326, 318, 3744, 621, 657, 30, 46506, 35224, 7, 24267, 8, 16034, 3084, 62, 3672, 62, 1129, 33411, 3277, 796, 366, 3262, 372, 4447, 1, 5357, 22101, 1875, 657 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 2811, 3561, 5726, 329, 262, 12671, 326, 635, 468, 257, 19461, 5726, 326, 318, 3744, 621, 657, 30, 46506, 35224, 7, 24267, 8, 16034, 3084, 62, 3672, 62, 1129, 33411, 3277, 796, 366, 3262, 372, 4447, 1, 5357, 22101, 1875, 657 ]
Users with answers in most tags (including deleted users).
SELECT RANK() OVER (ORDER BY COUNT(DISTINCT pt.TagId) DESC) AS Rank, a.OwnerUserId AS "user_link", a.OwnerDisplayName, COUNT(DISTINCT pt.TagId) AS "#_of_tags" FROM Posts AS a INNER JOIN Posts AS q ON a.ParentId = q.Id INNER JOIN PostTags AS pt ON pt.PostId = q.Id GROUP BY a.OwnerUserId, a.OwnerDisplayName ORDER BY COUNT(DISTINCT pt.TagId) DESC LIMIT 100
[ 14490, 351, 7429, 287, 749, 15940, 357, 8201, 13140, 2985, 737, 46506, 371, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 35, 8808, 1268, 4177, 42975, 13, 24835, 7390, 8, 22196, 34, 8, 7054, 10916, 11, 257, 13, 42419, 12982, 7390, 7054, 366, 7220, 62, 8726, 1600, 257, 13, 42419, 23114, 5376, 11, 327, 28270, 7, 35, 8808, 1268, 4177, 42975, 13, 24835, 7390, 8, 7054, 25113, 62, 1659, 62, 31499, 1, 16034, 12043, 7054, 257, 3268, 21479, 32357, 1268, 12043, 7054, 10662, 6177, 257, 13, 24546, 7390, 796, 10662, 13, 7390, 3268, 21479, 32357, 1268, 2947, 36142, 7054, 42975, 6177, 42975, 13, 6307, 7390, 796, 10662, 13, 7390, 44441, 11050, 257, 13, 42419, 12982, 7390, 11, 257, 13, 42419, 23114, 5376, 38678, 11050, 327, 28270, 7, 35, 8808, 1268, 4177, 42975, 13, 24835, 7390, 8, 22196, 34, 27564, 2043, 1802 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 14490, 351, 7429, 287, 749, 15940, 357, 8201, 13140, 2985, 737, 46506, 371, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 35, 8808, 1268, 4177, 42975, 13, 24835, 7390, 8, 22196, 34, 8, 7054, 10916, 11, 257, 13, 42419, 12982, 7390, 7054, 366, 7220, 62, 8726, 1600, 257, 13, 42419, 23114, 5376, 11, 327, 28270, 7, 35, 8808, 1268, 4177, 42975, 13, 24835, 7390, 8, 7054, 25113, 62, 1659, 62, 31499, 1, 16034, 12043, 7054, 257, 3268, 21479, 32357, 1268, 12043, 7054, 10662, 6177, 257, 13, 24546, 7390, 796, 10662, 13, 7390, 3268, 21479, 32357, 1268, 2947, 36142, 7054, 42975, 6177, 42975, 13, 6307, 7390, 796, 10662, 13, 7390, 44441, 11050, 257, 13, 42419, 12982, 7390, 11, 257, 13, 42419, 23114, 5376, 38678, 11050, 327, 28270, 7, 35, 8808, 1268, 4177, 42975, 13, 24835, 7390, 8, 22196, 34, 27564, 2043, 1802 ]
how many patients on additive type drug prescription had sodium lab test done?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.drug_type = "ADDITIVE" AND lab.label = "Sodium"
[ 4919, 867, 3871, 319, 38298, 2099, 2563, 15077, 550, 21072, 2248, 1332, 1760, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 34092, 6177, 16728, 13, 18108, 76, 62, 312, 796, 34092, 13, 18108, 76, 62, 312, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 34092, 13, 30349, 62, 4906, 796, 366, 29266, 2043, 9306, 1, 5357, 2248, 13, 18242, 796, 366, 50, 12664, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 3871, 319, 38298, 2099, 2563, 15077, 550, 21072, 2248, 1332, 1760, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 34092, 6177, 16728, 13, 18108, 76, 62, 312, 796, 34092, 13, 18108, 76, 62, 312, 3268, 21479, 32357, 1268, 2248, 6177, 16728, 13, 18108, 76, 62, 312, 796, 2248, 13, 18108, 76, 62, 312, 33411, 34092, 13, 30349, 62, 4906, 796, 366, 29266, 2043, 9306, 1, 5357, 2248, 13, 18242, 796, 366, 50, 12664, 1 ]
Which college did Dennis Byrd come from?
SELECT "College" FROM table_17507 WHERE "Player" = 'Dennis Byrd'
[ 13828, 4152, 750, 16902, 44972, 1282, 422, 30, 46506, 366, 38951, 1, 16034, 3084, 62, 1558, 35378, 33411, 366, 14140, 1, 796, 705, 35, 10679, 44972, 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 ]
[ 13828, 4152, 750, 16902, 44972, 1282, 422, 30, 46506, 366, 38951, 1, 16034, 3084, 62, 1558, 35378, 33411, 366, 14140, 1, 796, 705, 35, 10679, 44972, 6 ]
What team 2 has lokomotiva as team 1?
SELECT "Team 2" FROM table_13049 WHERE "Team 1" = 'lokomotiva'
[ 2061, 1074, 362, 468, 300, 482, 296, 313, 12151, 355, 1074, 352, 30, 46506, 366, 15592, 362, 1, 16034, 3084, 62, 12952, 2920, 33411, 366, 15592, 352, 1, 796, 705, 75, 482, 296, 313, 12151, 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 ]
[ 2061, 1074, 362, 468, 300, 482, 296, 313, 12151, 355, 1074, 352, 30, 46506, 366, 15592, 362, 1, 16034, 3084, 62, 12952, 2920, 33411, 366, 15592, 352, 1, 796, 705, 75, 482, 296, 313, 12151, 6 ]
What are the names of all products?
SELECT name FROM products
[ 2061, 389, 262, 3891, 286, 477, 3186, 30, 46506, 1438, 16034, 3186 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 389, 262, 3891, 286, 477, 3186, 30, 46506, 1438, 16034, 3186 ]
For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of last_name and commission_pct , show x axis in desc order.
SELECT LAST_NAME, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME DESC
[ 1890, 883, 4409, 508, 466, 407, 670, 287, 13346, 351, 11663, 326, 423, 220, 2340, 1022, 1802, 290, 939, 11, 1441, 257, 2318, 8262, 546, 262, 6082, 286, 938, 62, 3672, 290, 5810, 62, 79, 310, 837, 905, 2124, 16488, 287, 1715, 1502, 13, 46506, 41894, 62, 20608, 11, 22240, 40373, 62, 47, 4177, 16034, 4409, 33411, 5626, 5550, 30709, 10979, 62, 2389, 3268, 357, 46506, 5550, 30709, 10979, 62, 2389, 16034, 13346, 33411, 17254, 4760, 1137, 62, 2389, 38651, 8845, 1677, 1802, 5357, 939, 8, 38678, 11050, 41894, 62, 20608, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4409, 508, 466, 407, 670, 287, 13346, 351, 11663, 326, 423, 220, 2340, 1022, 1802, 290, 939, 11, 1441, 257, 2318, 8262, 546, 262, 6082, 286, 938, 62, 3672, 290, 5810, 62, 79, 310, 837, 905, 2124, 16488, 287, 1715, 1502, 13, 46506, 41894, 62, 20608, 11, 22240, 40373, 62, 47, 4177, 16034, 4409, 33411, 5626, 5550, 30709, 10979, 62, 2389, 3268, 357, 46506, 5550, 30709, 10979, 62, 2389, 16034, 13346, 33411, 17254, 4760, 1137, 62, 2389, 38651, 8845, 1677, 1802, 5357, 939, 8, 38678, 11050, 41894, 62, 20608, 22196, 34 ]
Which HMP classes can be counted as Other ?
SELECT DISTINCT course.department, course.name, course.number FROM course, program, program_course WHERE course.department LIKE '%HMP%' AND program_course.category LIKE '%Other%' AND program_course.course_id = course.course_id AND program.name LIKE '%CS-LSA%' AND program.program_id = program_course.program_id
[ 13828, 367, 7378, 6097, 460, 307, 14789, 355, 3819, 5633, 46506, 360, 8808, 1268, 4177, 1781, 13, 10378, 1823, 11, 1781, 13, 3672, 11, 1781, 13, 17618, 16034, 1781, 11, 1430, 11, 1430, 62, 17319, 33411, 1781, 13, 10378, 1823, 34178, 705, 4, 39, 7378, 4, 6, 5357, 1430, 62, 17319, 13, 22872, 34178, 705, 4, 6395, 4, 6, 5357, 1430, 62, 17319, 13, 17319, 62, 312, 796, 1781, 13, 17319, 62, 312, 5357, 1430, 13, 3672, 34178, 705, 4, 7902, 12, 43, 4090, 4, 6, 5357, 1430, 13, 23065, 62, 312, 796, 1430, 62, 17319, 13, 23065, 62, 312 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 367, 7378, 6097, 460, 307, 14789, 355, 3819, 5633, 46506, 360, 8808, 1268, 4177, 1781, 13, 10378, 1823, 11, 1781, 13, 3672, 11, 1781, 13, 17618, 16034, 1781, 11, 1430, 11, 1430, 62, 17319, 33411, 1781, 13, 10378, 1823, 34178, 705, 4, 39, 7378, 4, 6, 5357, 1430, 62, 17319, 13, 22872, 34178, 705, 4, 6395, 4, 6, 5357, 1430, 62, 17319, 13, 17319, 62, 312, 796, 1781, 13, 17319, 62, 312, 5357, 1430, 13, 3672, 34178, 705, 4, 7902, 12, 43, 4090, 4, 6, 5357, 1430, 13, 23065, 62, 312, 796, 1430, 62, 17319, 13, 23065, 62, 312 ]
What is Run 3, when Team is United States (USA) USA I?
SELECT "Run 3" FROM table_49009 WHERE "Team" = 'united states (usa) usa i'
[ 2061, 318, 5660, 513, 11, 618, 4816, 318, 1578, 1829, 357, 14053, 8, 4916, 314, 30, 46506, 366, 10987, 513, 1, 16034, 3084, 62, 2920, 28694, 33411, 366, 15592, 1, 796, 705, 41187, 2585, 357, 22064, 8, 514, 64, 1312, 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 ]
[ 2061, 318, 5660, 513, 11, 618, 4816, 318, 1578, 1829, 357, 14053, 8, 4916, 314, 30, 46506, 366, 10987, 513, 1, 16034, 3084, 62, 2920, 28694, 33411, 366, 15592, 1, 796, 705, 41187, 2585, 357, 22064, 8, 514, 64, 1312, 6 ]
how many patients above the age of 63 or more were admitted in or after the year 2150?
SELECT AVG(demographic.age) FROM demographic WHERE demographic.age >= "63" AND demographic.admityear >= "2150"
[ 4919, 867, 3871, 2029, 262, 2479, 286, 8093, 393, 517, 547, 6848, 287, 393, 706, 262, 614, 2310, 1120, 30, 46506, 35224, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 496, 18189, 366, 5066, 1, 5357, 16728, 13, 324, 76, 414, 451, 18189, 366, 2481, 1120, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 867, 3871, 2029, 262, 2479, 286, 8093, 393, 517, 547, 6848, 287, 393, 706, 262, 614, 2310, 1120, 30, 46506, 35224, 7, 9536, 6826, 13, 496, 8, 16034, 16728, 33411, 16728, 13, 496, 18189, 366, 5066, 1, 5357, 16728, 13, 324, 76, 414, 451, 18189, 366, 2481, 1120, 1 ]
what is the fare from ATLANTA to BOSTON on COACH one way
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis WHERE ((CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND fare.from_airport = AIRPORT_SERVICE_0.airport_code AND fare.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.round_trip_required = 'NO') AND fare_basis.class_type = 'COACH' AND fare.fare_basis_code = fare_basis.fare_basis_code
[ 10919, 318, 262, 14505, 422, 5161, 25697, 5603, 284, 347, 10892, 1340, 319, 7375, 16219, 530, 835, 46506, 360, 8808, 1268, 4177, 14505, 13, 9496, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 14505, 11, 14505, 62, 12093, 271, 33411, 14808, 34, 9050, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 1404, 25697, 5603, 6, 5357, 27993, 62, 16, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 16, 13, 19205, 62, 8189, 5357, 27993, 62, 16, 13, 19205, 62, 3672, 796, 705, 8202, 41924, 6, 5357, 14505, 13, 6738, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 958, 634, 62, 8189, 5357, 14505, 13, 1462, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 62, 16, 13, 958, 634, 62, 8189, 8, 5357, 14505, 13, 744, 62, 39813, 62, 35827, 796, 705, 15285, 11537, 5357, 14505, 62, 12093, 271, 13, 4871, 62, 4906, 796, 705, 8220, 16219, 6, 5357, 14505, 13, 9496, 62, 12093, 271, 62, 8189, 796, 14505, 62, 12093, 271, 13, 9496, 62, 12093, 271, 62, 8189 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 318, 262, 14505, 422, 5161, 25697, 5603, 284, 347, 10892, 1340, 319, 7375, 16219, 530, 835, 46506, 360, 8808, 1268, 4177, 14505, 13, 9496, 62, 312, 16034, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 15, 11, 9003, 62, 15271, 7054, 31600, 15490, 62, 35009, 27389, 62, 16, 11, 1748, 7054, 27993, 62, 15, 11, 1748, 7054, 27993, 62, 16, 11, 14505, 11, 14505, 62, 12093, 271, 33411, 14808, 34, 9050, 62, 15, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 19205, 62, 8189, 5357, 27993, 62, 15, 13, 19205, 62, 3672, 796, 705, 1404, 25697, 5603, 6, 5357, 27993, 62, 16, 13, 19205, 62, 8189, 796, 31600, 15490, 62, 35009, 27389, 62, 16, 13, 19205, 62, 8189, 5357, 27993, 62, 16, 13, 19205, 62, 3672, 796, 705, 8202, 41924, 6, 5357, 14505, 13, 6738, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 958, 634, 62, 8189, 5357, 14505, 13, 1462, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 62, 16, 13, 958, 634, 62, 8189, 8, 5357, 14505, 13, 744, 62, 39813, 62, 35827, 796, 705, 15285, 11537, 5357, 14505, 62, 12093, 271, 13, 4871, 62, 4906, 796, 705, 8220, 16219, 6, 5357, 14505, 13, 9496, 62, 12093, 271, 62, 8189, 796, 14505, 62, 12093, 271, 13, 9496, 62, 12093, 271, 62, 8189 ]
What are the name and level of catalog structure with level number between 5 and 1 Show bar chart, and list names in desc order please.
SELECT catalog_level_name, catalog_level_number FROM Catalog_Structure WHERE catalog_level_number BETWEEN 5 AND 10 ORDER BY catalog_level_name DESC
[ 2061, 389, 262, 1438, 290, 1241, 286, 18388, 4645, 351, 1241, 1271, 1022, 642, 290, 352, 5438, 2318, 8262, 11, 290, 1351, 3891, 287, 1715, 1502, 3387, 13, 46506, 18388, 62, 5715, 62, 3672, 11, 18388, 62, 5715, 62, 17618, 16034, 44515, 62, 1273, 5620, 33411, 18388, 62, 5715, 62, 17618, 38651, 8845, 1677, 642, 5357, 838, 38678, 11050, 18388, 62, 5715, 62, 3672, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 389, 262, 1438, 290, 1241, 286, 18388, 4645, 351, 1241, 1271, 1022, 642, 290, 352, 5438, 2318, 8262, 11, 290, 1351, 3891, 287, 1715, 1502, 3387, 13, 46506, 18388, 62, 5715, 62, 3672, 11, 18388, 62, 5715, 62, 17618, 16034, 44515, 62, 1273, 5620, 33411, 18388, 62, 5715, 62, 17618, 38651, 8845, 1677, 642, 5357, 838, 38678, 11050, 18388, 62, 5715, 62, 3672, 22196, 34 ]
Which Torque has a Volume of 1896 cc, and a CO 2 of 140 g/km?
SELECT "Torque" FROM table_60125 WHERE "Volume" = '1896 cc' AND "CO 2" = '140 g/km'
[ 13828, 4022, 4188, 468, 257, 14701, 286, 46723, 36624, 11, 290, 257, 7375, 362, 286, 12713, 308, 14, 13276, 30, 46506, 366, 15884, 4188, 1, 16034, 3084, 62, 41706, 1495, 33411, 366, 31715, 1, 796, 705, 1507, 4846, 36624, 6, 5357, 366, 8220, 362, 1, 796, 705, 15187, 308, 14, 13276, 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 ]
[ 13828, 4022, 4188, 468, 257, 14701, 286, 46723, 36624, 11, 290, 257, 7375, 362, 286, 12713, 308, 14, 13276, 30, 46506, 366, 15884, 4188, 1, 16034, 3084, 62, 41706, 1495, 33411, 366, 31715, 1, 796, 705, 1507, 4846, 36624, 6, 5357, 366, 8220, 362, 1, 796, 705, 15187, 308, 14, 13276, 6 ]
For those records from the products and each product's manufacturer, draw a bar chart about the distribution of headquarter and the sum of revenue , and group by attribute headquarter, order by the x-axis in asc.
SELECT Headquarter, SUM(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY Headquarter
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 3197, 257, 2318, 8262, 546, 262, 6082, 286, 1182, 24385, 290, 262, 2160, 286, 6426, 837, 290, 1448, 416, 11688, 1182, 24385, 11, 1502, 416, 262, 2124, 12, 22704, 287, 10570, 13, 46506, 7123, 24385, 11, 35683, 7, 3041, 4080, 8, 16034, 18675, 7054, 309, 16, 32357, 1268, 17858, 17496, 7054, 309, 17, 6177, 309, 16, 13, 44445, 15051, 796, 309, 17, 13, 10669, 44441, 11050, 7123, 24385, 38678, 11050, 7123, 24385 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 3197, 257, 2318, 8262, 546, 262, 6082, 286, 1182, 24385, 290, 262, 2160, 286, 6426, 837, 290, 1448, 416, 11688, 1182, 24385, 11, 1502, 416, 262, 2124, 12, 22704, 287, 10570, 13, 46506, 7123, 24385, 11, 35683, 7, 3041, 4080, 8, 16034, 18675, 7054, 309, 16, 32357, 1268, 17858, 17496, 7054, 309, 17, 6177, 309, 16, 13, 44445, 15051, 796, 309, 17, 13, 10669, 44441, 11050, 7123, 24385, 38678, 11050, 7123, 24385 ]
What was the away team for the match at Punt Road Oval?
SELECT "Away team" FROM table_33486 WHERE "Venue" = 'punt road oval'
[ 2061, 373, 262, 1497, 1074, 329, 262, 2872, 379, 350, 2797, 5567, 25165, 30, 46506, 366, 32, 1014, 1074, 1, 16034, 3084, 62, 2091, 34251, 33411, 366, 37522, 518, 1, 796, 705, 79, 2797, 2975, 41186, 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 ]
[ 2061, 373, 262, 1497, 1074, 329, 262, 2872, 379, 350, 2797, 5567, 25165, 30, 46506, 366, 32, 1014, 1074, 1, 16034, 3084, 62, 2091, 34251, 33411, 366, 37522, 518, 1, 796, 705, 79, 2797, 2975, 41186, 6 ]
What is the score for the Oregon location?
SELECT "Score" FROM table_278 WHERE "Location" = 'Oregon'
[ 2061, 318, 262, 4776, 329, 262, 8819, 4067, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 25870, 33411, 366, 14749, 1, 796, 705, 41243, 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 ]
[ 2061, 318, 262, 4776, 329, 262, 8819, 4067, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 25870, 33411, 366, 14749, 1, 796, 705, 41243, 6 ]
Show the names of people aged either 35 or 36.
SELECT name FROM people WHERE age = 35 OR age = 36
[ 15307, 262, 3891, 286, 661, 9722, 2035, 3439, 393, 4570, 13, 46506, 1438, 16034, 661, 33411, 2479, 796, 3439, 6375, 2479, 796, 4570 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 15307, 262, 3891, 286, 661, 9722, 2035, 3439, 393, 4570, 13, 46506, 1438, 16034, 661, 33411, 2479, 796, 3439, 6375, 2479, 796, 4570 ]
What is the least rank with more than 16 sets won and less than 1 loss?
SELECT MIN(rank) FROM table_name_47 WHERE sets_won > 16 AND loss < 1
[ 2061, 318, 262, 1551, 4279, 351, 517, 621, 1467, 5621, 1839, 290, 1342, 621, 352, 2994, 30, 46506, 20625, 7, 43027, 8, 16034, 3084, 62, 3672, 62, 2857, 33411, 5621, 62, 26502, 1875, 1467, 5357, 2994, 1279, 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 ]
[ 2061, 318, 262, 1551, 4279, 351, 517, 621, 1467, 5621, 1839, 290, 1342, 621, 352, 2994, 30, 46506, 20625, 7, 43027, 8, 16034, 3084, 62, 3672, 62, 2857, 33411, 5621, 62, 26502, 1875, 1467, 5357, 2994, 1279, 352 ]
In what week was the attendance 25,000?
SELECT "Week" FROM table_34096 WHERE "Attendance" = '25,000'
[ 818, 644, 1285, 373, 262, 14858, 1679, 11, 830, 30, 46506, 366, 20916, 1, 16034, 3084, 62, 23601, 4846, 33411, 366, 8086, 437, 590, 1, 796, 705, 1495, 11, 830, 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 ]
[ 818, 644, 1285, 373, 262, 14858, 1679, 11, 830, 30, 46506, 366, 20916, 1, 16034, 3084, 62, 23601, 4846, 33411, 366, 8086, 437, 590, 1, 796, 705, 1495, 11, 830, 6 ]
List the name of all playlist, and count them by a bar chart
SELECT name, COUNT(name) FROM playlists GROUP BY name
[ 8053, 262, 1438, 286, 477, 33178, 11, 290, 954, 606, 416, 257, 2318, 8262, 46506, 1438, 11, 327, 28270, 7, 3672, 8, 16034, 711, 20713, 44441, 11050, 1438 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8053, 262, 1438, 286, 477, 33178, 11, 290, 954, 606, 416, 257, 2318, 8262, 46506, 1438, 11, 327, 28270, 7, 3672, 8, 16034, 711, 20713, 44441, 11050, 1438 ]
How many stages were won by Robbie McEwen?
SELECT COUNT("Stage") FROM table_21873 WHERE "Winner" = 'Robbie McEwen'
[ 2437, 867, 9539, 547, 1839, 416, 34855, 1982, 36, 21006, 30, 46506, 327, 28270, 7203, 29391, 4943, 16034, 3084, 62, 28727, 4790, 33411, 366, 48056, 1, 796, 705, 14350, 12590, 1982, 36, 21006, 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 ]
[ 2437, 867, 9539, 547, 1839, 416, 34855, 1982, 36, 21006, 30, 46506, 327, 28270, 7203, 29391, 4943, 16034, 3084, 62, 28727, 4790, 33411, 366, 48056, 1, 796, 705, 14350, 12590, 1982, 36, 21006, 6 ]
How many total golds do teams have when the total medals is less than 1?
SELECT SUM("Gold") FROM table_76572 WHERE "Total" < '1'
[ 2437, 867, 2472, 3869, 82, 466, 3466, 423, 618, 262, 2472, 28057, 318, 1342, 621, 352, 30, 46506, 35683, 7203, 13306, 4943, 16034, 3084, 62, 29143, 4761, 33411, 366, 14957, 1, 1279, 705, 16, 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 ]
[ 2437, 867, 2472, 3869, 82, 466, 3466, 423, 618, 262, 2472, 28057, 318, 1342, 621, 352, 30, 46506, 35683, 7203, 13306, 4943, 16034, 3084, 62, 29143, 4761, 33411, 366, 14957, 1, 1279, 705, 16, 6 ]
Answer breakdown by which side of score = 10.
SELECT COUNT(1) AS "total", COUNT(CASE WHEN 'score' >= 10 THEN 1 ELSE NULL END) AS "egt10", COUNT(CASE WHEN 'score' < 10 THEN 1 ELSE NULL END) AS "lg10" FROM Posts WHERE 'posttypeid' = 2 AND 'deletiondate' IS NULL AND 'owneruserid' = '##UserId##'
[ 33706, 14608, 416, 543, 1735, 286, 4776, 796, 838, 13, 46506, 327, 28270, 7, 16, 8, 7054, 366, 23350, 1600, 327, 28270, 7, 34, 11159, 42099, 705, 26675, 6, 18189, 838, 42243, 352, 17852, 5188, 15697, 23578, 8, 7054, 366, 1533, 83, 940, 1600, 327, 28270, 7, 34, 11159, 42099, 705, 26675, 6, 1279, 838, 42243, 352, 17852, 5188, 15697, 23578, 8, 7054, 366, 75, 70, 940, 1, 16034, 12043, 33411, 705, 7353, 4906, 312, 6, 796, 362, 5357, 705, 2934, 1616, 295, 4475, 6, 3180, 15697, 5357, 705, 18403, 7220, 312, 6, 796, 705, 2235, 12982, 7390, 2235, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 33706, 14608, 416, 543, 1735, 286, 4776, 796, 838, 13, 46506, 327, 28270, 7, 16, 8, 7054, 366, 23350, 1600, 327, 28270, 7, 34, 11159, 42099, 705, 26675, 6, 18189, 838, 42243, 352, 17852, 5188, 15697, 23578, 8, 7054, 366, 1533, 83, 940, 1600, 327, 28270, 7, 34, 11159, 42099, 705, 26675, 6, 1279, 838, 42243, 352, 17852, 5188, 15697, 23578, 8, 7054, 366, 75, 70, 940, 1, 16034, 12043, 33411, 705, 7353, 4906, 312, 6, 796, 362, 5357, 705, 2934, 1616, 295, 4475, 6, 3180, 15697, 5357, 705, 18403, 7220, 312, 6, 796, 705, 2235, 12982, 7390, 2235, 6 ]
What percentage of people voted for Obama in Burlington?
SELECT obama__percentage FROM table_20278716_2 WHERE county = "Burlington"
[ 2061, 5873, 286, 661, 7052, 329, 2486, 287, 37090, 30, 46506, 909, 1689, 834, 25067, 496, 16034, 3084, 62, 1238, 1983, 5774, 1433, 62, 17, 33411, 7968, 796, 366, 22991, 17299, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 5873, 286, 661, 7052, 329, 2486, 287, 37090, 30, 46506, 909, 1689, 834, 25067, 496, 16034, 3084, 62, 1238, 1983, 5774, 1433, 62, 17, 33411, 7968, 796, 366, 22991, 17299, 1 ]
What record does the event of dream 9 with a round of 2 hold?
SELECT record FROM table_name_19 WHERE round = 2 AND event = "dream 9"
[ 2061, 1700, 857, 262, 1785, 286, 4320, 860, 351, 257, 2835, 286, 362, 1745, 30, 46506, 1700, 16034, 3084, 62, 3672, 62, 1129, 33411, 2835, 796, 362, 5357, 1785, 796, 366, 25966, 860, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 1700, 857, 262, 1785, 286, 4320, 860, 351, 257, 2835, 286, 362, 1745, 30, 46506, 1700, 16034, 3084, 62, 3672, 62, 1129, 33411, 2835, 796, 362, 5357, 1785, 796, 366, 25966, 860, 1 ]
How many points have a series of british formula renault 2.0 winter cup and f/laps of 0?
SELECT "Points" FROM table_25983 WHERE "Series" = 'British Formula Renault 2.0 Winter Cup' AND "F/Laps" = '0'
[ 2437, 867, 2173, 423, 257, 2168, 286, 275, 799, 680, 10451, 8851, 1721, 362, 13, 15, 7374, 6508, 290, 277, 14, 75, 1686, 286, 657, 30, 46506, 366, 40710, 1, 16034, 3084, 62, 1495, 4089, 18, 33411, 366, 27996, 1, 796, 705, 25631, 19639, 44083, 362, 13, 15, 10633, 5454, 6, 5357, 366, 37, 14, 43, 1686, 1, 796, 705, 15, 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 ]
[ 2437, 867, 2173, 423, 257, 2168, 286, 275, 799, 680, 10451, 8851, 1721, 362, 13, 15, 7374, 6508, 290, 277, 14, 75, 1686, 286, 657, 30, 46506, 366, 40710, 1, 16034, 3084, 62, 1495, 4089, 18, 33411, 366, 27996, 1, 796, 705, 25631, 19639, 44083, 362, 13, 15, 10633, 5454, 6, 5357, 366, 37, 14, 43, 1686, 1, 796, 705, 15, 6 ]
What is the name of chapter 8 of season 4?
SELECT "Title" FROM table_28685 WHERE "No. in season" = '8'
[ 2061, 318, 262, 1438, 286, 6843, 807, 286, 1622, 604, 30, 46506, 366, 19160, 1, 16034, 3084, 62, 2078, 35978, 33411, 366, 2949, 13, 287, 1622, 1, 796, 705, 23, 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 ]
[ 2061, 318, 262, 1438, 286, 6843, 807, 286, 1622, 604, 30, 46506, 366, 19160, 1, 16034, 3084, 62, 2078, 35978, 33411, 366, 2949, 13, 287, 1622, 1, 796, 705, 23, 6 ]
TOP golang users in Denver.
WITH USER_BY_TAG AS (SELECT ROW_NUMBER() OVER (ORDER BY COUNT(*) DESC) AS Rank, u.Id AS "user_link", COUNT(*) AS UpVotes FROM Tags AS t INNER JOIN PostTags AS pt ON pt.TagId = t.Id INNER JOIN Posts AS p ON p.ParentId = pt.PostId INNER JOIN Votes AS v ON v.PostId = p.Id AND VoteTypeId = 2 INNER JOIN Users AS u ON u.Id = p.OwnerUserId WHERE LOWER(Location) LIKE '%tehran%' AND TagName = 'go' OR TagName = 'golang' GROUP BY u.Id, TagName) SELECT * FROM USER_BY_TAG ORDER BY UpVotes DESC
[ 35222, 43791, 648, 2985, 287, 10656, 13, 54, 10554, 1294, 1137, 62, 17513, 62, 42197, 7054, 357, 46506, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 10916, 11, 334, 13, 7390, 7054, 366, 7220, 62, 8726, 1600, 327, 28270, 7, 28104, 7054, 3205, 53, 6421, 16034, 44789, 7054, 256, 3268, 21479, 32357, 1268, 2947, 36142, 7054, 42975, 6177, 42975, 13, 24835, 7390, 796, 256, 13, 7390, 3268, 21479, 32357, 1268, 12043, 7054, 279, 6177, 279, 13, 24546, 7390, 796, 42975, 13, 6307, 7390, 3268, 21479, 32357, 1268, 39584, 7054, 410, 6177, 410, 13, 6307, 7390, 796, 279, 13, 7390, 5357, 19175, 6030, 7390, 796, 362, 3268, 21479, 32357, 1268, 18987, 7054, 334, 6177, 334, 13, 7390, 796, 279, 13, 42419, 12982, 7390, 33411, 406, 36048, 7, 14749, 8, 34178, 705, 4, 660, 16848, 4, 6, 5357, 17467, 5376, 796, 705, 2188, 6, 6375, 17467, 5376, 796, 705, 70, 349, 648, 6, 44441, 11050, 334, 13, 7390, 11, 17467, 5376, 8, 33493, 1635, 16034, 1294, 1137, 62, 17513, 62, 42197, 38678, 11050, 3205, 53, 6421, 22196, 34 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 35222, 43791, 648, 2985, 287, 10656, 13, 54, 10554, 1294, 1137, 62, 17513, 62, 42197, 7054, 357, 46506, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 10916, 11, 334, 13, 7390, 7054, 366, 7220, 62, 8726, 1600, 327, 28270, 7, 28104, 7054, 3205, 53, 6421, 16034, 44789, 7054, 256, 3268, 21479, 32357, 1268, 2947, 36142, 7054, 42975, 6177, 42975, 13, 24835, 7390, 796, 256, 13, 7390, 3268, 21479, 32357, 1268, 12043, 7054, 279, 6177, 279, 13, 24546, 7390, 796, 42975, 13, 6307, 7390, 3268, 21479, 32357, 1268, 39584, 7054, 410, 6177, 410, 13, 6307, 7390, 796, 279, 13, 7390, 5357, 19175, 6030, 7390, 796, 362, 3268, 21479, 32357, 1268, 18987, 7054, 334, 6177, 334, 13, 7390, 796, 279, 13, 42419, 12982, 7390, 33411, 406, 36048, 7, 14749, 8, 34178, 705, 4, 660, 16848, 4, 6, 5357, 17467, 5376, 796, 705, 2188, 6, 6375, 17467, 5376, 796, 705, 70, 349, 648, 6, 44441, 11050, 334, 13, 7390, 11, 17467, 5376, 8, 33493, 1635, 16034, 1294, 1137, 62, 17513, 62, 42197, 38678, 11050, 3205, 53, 6421, 22196, 34 ]
What is the lowest to par of the player with a t3 place and less than $1,500?
SELECT MIN("To par") FROM table_44864 WHERE "Place" = 't3' AND "Money ( $ )" < '1,500'
[ 2061, 318, 262, 9016, 284, 1582, 286, 262, 2137, 351, 257, 256, 18, 1295, 290, 1342, 621, 720, 16, 11, 4059, 30, 46506, 20625, 7203, 2514, 1582, 4943, 16034, 3084, 62, 31115, 2414, 33411, 366, 27271, 1, 796, 705, 83, 18, 6, 5357, 366, 26788, 357, 720, 1267, 1, 1279, 705, 16, 11, 4059, 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 ]
[ 2061, 318, 262, 9016, 284, 1582, 286, 262, 2137, 351, 257, 256, 18, 1295, 290, 1342, 621, 720, 16, 11, 4059, 30, 46506, 20625, 7203, 2514, 1582, 4943, 16034, 3084, 62, 31115, 2414, 33411, 366, 27271, 1, 796, 705, 83, 18, 6, 5357, 366, 26788, 357, 720, 1267, 1, 1279, 705, 16, 11, 4059, 6 ]
Top 10 users Stack Overflow users from Morocco.
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%Bournemouth%' ORDER BY Reputation DESC LIMIT 10
[ 9126, 838, 2985, 23881, 3827, 11125, 2985, 422, 29638, 13, 46506, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 1432, 7094, 22196, 34, 8, 7054, 25113, 1600, 5121, 7054, 366, 7220, 62, 8726, 1600, 1432, 7094, 16034, 18987, 33411, 406, 36048, 7, 14749, 8, 34178, 705, 4, 33, 1798, 46880, 4, 6, 38678, 11050, 1432, 7094, 22196, 34, 27564, 2043, 838 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 9126, 838, 2985, 23881, 3827, 11125, 2985, 422, 29638, 13, 46506, 371, 3913, 62, 41359, 13246, 3419, 28729, 357, 12532, 1137, 11050, 1432, 7094, 22196, 34, 8, 7054, 25113, 1600, 5121, 7054, 366, 7220, 62, 8726, 1600, 1432, 7094, 16034, 18987, 33411, 406, 36048, 7, 14749, 8, 34178, 705, 4, 33, 1798, 46880, 4, 6, 38678, 11050, 1432, 7094, 22196, 34, 27564, 2043, 838 ]
How many were first elected when the incumbent was Morgan M. Moulder?
SELECT COUNT(first_elected) FROM table_1342198_25 WHERE incumbent = "Morgan M. Moulder"
[ 2437, 867, 547, 717, 7018, 618, 262, 23526, 373, 10805, 337, 13, 337, 17601, 30, 46506, 327, 28270, 7, 11085, 62, 28604, 8, 16034, 3084, 62, 1485, 3682, 22337, 62, 1495, 33411, 23526, 796, 366, 47184, 337, 13, 337, 17601, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2437, 867, 547, 717, 7018, 618, 262, 23526, 373, 10805, 337, 13, 337, 17601, 30, 46506, 327, 28270, 7, 11085, 62, 28604, 8, 16034, 3084, 62, 1485, 3682, 22337, 62, 1495, 33411, 23526, 796, 366, 47184, 337, 13, 337, 17601, 1 ]
what was the top five most frequent diagnoses that patients received after receiving angiogram - with infusion of vasodilator within 2 months?
SELECT t3.diagnosisname FROM (SELECT t2.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'angiogram - with infusion of vasodilator') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.diagnosistime AND DATETIME(t2.diagnosistime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month') GROUP BY t2.diagnosisname) AS t3 WHERE t3.c1 <= 5
[ 10919, 373, 262, 1353, 1936, 749, 10792, 40567, 326, 3871, 2722, 706, 6464, 3550, 72, 21857, 532, 351, 35547, 286, 34439, 375, 346, 1352, 1626, 362, 1933, 30, 46506, 256, 18, 13, 47356, 5958, 3672, 16034, 357, 46506, 256, 17, 13, 47356, 5958, 3672, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 3513, 13, 42487, 2435, 16034, 3513, 32357, 1268, 5827, 6177, 3513, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 33411, 3513, 13, 42487, 3672, 796, 705, 648, 72, 21857, 532, 351, 35547, 286, 34439, 375, 346, 1352, 11537, 7054, 256, 16, 32357, 1268, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 13669, 13, 47356, 5958, 3672, 11, 13669, 13, 47356, 418, 396, 524, 16034, 13669, 32357, 1268, 5827, 6177, 13669, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 8, 7054, 256, 17, 6177, 256, 16, 13, 403, 1557, 538, 312, 796, 256, 17, 13, 403, 1557, 538, 312, 33411, 256, 16, 13, 42487, 2435, 1279, 256, 17, 13, 47356, 418, 396, 524, 5357, 360, 1404, 2767, 12789, 7, 83, 17, 13, 47356, 418, 396, 524, 8, 38651, 8845, 1677, 360, 1404, 2767, 12789, 7, 83, 16, 13, 42487, 2435, 8, 5357, 360, 1404, 2767, 12789, 7, 83, 16, 13, 42487, 2435, 11, 705, 10, 17, 1227, 11537, 44441, 11050, 256, 17, 13, 47356, 5958, 3672, 8, 7054, 256, 18, 33411, 256, 18, 13, 66, 16, 19841, 642 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 10919, 373, 262, 1353, 1936, 749, 10792, 40567, 326, 3871, 2722, 706, 6464, 3550, 72, 21857, 532, 351, 35547, 286, 34439, 375, 346, 1352, 1626, 362, 1933, 30, 46506, 256, 18, 13, 47356, 5958, 3672, 16034, 357, 46506, 256, 17, 13, 47356, 5958, 3672, 11, 360, 24290, 62, 49, 15154, 3419, 28729, 357, 12532, 1137, 11050, 327, 28270, 7, 28104, 22196, 34, 8, 7054, 269, 16, 16034, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 3513, 13, 42487, 2435, 16034, 3513, 32357, 1268, 5827, 6177, 3513, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 33411, 3513, 13, 42487, 3672, 796, 705, 648, 72, 21857, 532, 351, 35547, 286, 34439, 375, 346, 1352, 11537, 7054, 256, 16, 32357, 1268, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 13669, 13, 47356, 5958, 3672, 11, 13669, 13, 47356, 418, 396, 524, 16034, 13669, 32357, 1268, 5827, 6177, 13669, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 8, 7054, 256, 17, 6177, 256, 16, 13, 403, 1557, 538, 312, 796, 256, 17, 13, 403, 1557, 538, 312, 33411, 256, 16, 13, 42487, 2435, 1279, 256, 17, 13, 47356, 418, 396, 524, 5357, 360, 1404, 2767, 12789, 7, 83, 17, 13, 47356, 418, 396, 524, 8, 38651, 8845, 1677, 360, 1404, 2767, 12789, 7, 83, 16, 13, 42487, 2435, 8, 5357, 360, 1404, 2767, 12789, 7, 83, 16, 13, 42487, 2435, 11, 705, 10, 17, 1227, 11537, 44441, 11050, 256, 17, 13, 47356, 5958, 3672, 8, 7054, 256, 18, 33411, 256, 18, 13, 66, 16, 19841, 642 ]
Which label is in Australia?
SELECT "Label" FROM table_50738 WHERE "Region" = 'australia'
[ 13828, 6167, 318, 287, 4505, 30, 46506, 366, 33986, 1, 16034, 3084, 62, 35378, 2548, 33411, 366, 47371, 1, 796, 705, 64, 436, 1373, 544, 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 ]
[ 13828, 6167, 318, 287, 4505, 30, 46506, 366, 33986, 1, 16034, 3084, 62, 35378, 2548, 33411, 366, 47371, 1, 796, 705, 64, 436, 1373, 544, 6 ]
What Country is Player Sam Snead with a To par of less than 5 from?
SELECT country FROM table_name_26 WHERE to_par < 5 AND player = "sam snead"
[ 2061, 12946, 318, 7853, 3409, 27065, 324, 351, 257, 1675, 1582, 286, 1342, 621, 642, 422, 30, 46506, 1499, 16034, 3084, 62, 3672, 62, 2075, 33411, 284, 62, 1845, 1279, 642, 5357, 2137, 796, 366, 37687, 10505, 324, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 12946, 318, 7853, 3409, 27065, 324, 351, 257, 1675, 1582, 286, 1342, 621, 642, 422, 30, 46506, 1499, 16034, 3084, 62, 3672, 62, 2075, 33411, 284, 62, 1845, 1279, 642, 5357, 2137, 796, 366, 37687, 10505, 324, 1 ]
What team was the home team when Luton Town was the home team?
SELECT "Home team" FROM table_46842 WHERE "Away team" = 'luton town'
[ 2061, 1074, 373, 262, 1363, 1074, 618, 406, 32894, 8329, 373, 262, 1363, 1074, 30, 46506, 366, 16060, 1074, 1, 16034, 3084, 62, 38472, 3682, 33411, 366, 32, 1014, 1074, 1, 796, 705, 75, 32894, 3240, 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 ]
[ 2061, 1074, 373, 262, 1363, 1074, 618, 406, 32894, 8329, 373, 262, 1363, 1074, 30, 46506, 366, 16060, 1074, 1, 16034, 3084, 62, 38472, 3682, 33411, 366, 32, 1014, 1074, 1, 796, 705, 75, 32894, 3240, 6 ]
What is the socket when the sSpec number is standard power?
SELECT "Socket" FROM table_14171 WHERE "sSpec number" = 'standard power'
[ 2061, 318, 262, 17802, 618, 262, 264, 22882, 1271, 318, 3210, 1176, 30, 46506, 366, 39105, 1, 16034, 3084, 62, 1415, 27192, 33411, 366, 82, 22882, 1271, 1, 796, 705, 20307, 1176, 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 ]
[ 2061, 318, 262, 17802, 618, 262, 264, 22882, 1271, 318, 3210, 1176, 30, 46506, 366, 39105, 1, 16034, 3084, 62, 1415, 27192, 33411, 366, 82, 22882, 1271, 1, 796, 705, 20307, 1176, 6 ]
How many Spanish word is there for the Portuguese bem-vindo?
SELECT COUNT("Spanish") FROM table_28806 WHERE "Portuguese" = 'Bem-vindo'
[ 2437, 867, 7897, 1573, 318, 612, 329, 262, 21813, 307, 76, 12, 50172, 78, 30, 46506, 327, 28270, 7203, 43584, 4943, 16034, 3084, 62, 2078, 37988, 33411, 366, 13924, 1018, 20506, 1, 796, 705, 33, 368, 12, 50172, 78, 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 ]
[ 2437, 867, 7897, 1573, 318, 612, 329, 262, 21813, 307, 76, 12, 50172, 78, 30, 46506, 327, 28270, 7203, 43584, 4943, 16034, 3084, 62, 2078, 37988, 33411, 366, 13924, 1018, 20506, 1, 796, 705, 33, 368, 12, 50172, 78, 6 ]
What is the least amount of people that attended a game when Essendon was the away team?
SELECT MIN(crowd) FROM table_name_83 WHERE away_team = "essendon"
[ 2061, 318, 262, 1551, 2033, 286, 661, 326, 9141, 257, 983, 618, 11985, 43153, 373, 262, 1497, 1074, 30, 46506, 20625, 7, 66, 3986, 8, 16034, 3084, 62, 3672, 62, 5999, 33411, 1497, 62, 15097, 796, 366, 408, 43153, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 318, 262, 1551, 2033, 286, 661, 326, 9141, 257, 983, 618, 11985, 43153, 373, 262, 1497, 1074, 30, 46506, 20625, 7, 66, 3986, 8, 16034, 3084, 62, 3672, 62, 5999, 33411, 1497, 62, 15097, 796, 366, 408, 43153, 1 ]