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
What were the total number of cuts made in an event larger than 4 and a top-10 smaller than 4?
SELECT COUNT(cuts_made) FROM table_name_17 WHERE events > 4 AND top_10 < 4
[ 2061, 547, 262, 2472, 1271, 286, 6630, 925, 287, 281, 1785, 4025, 621, 604, 290, 257, 1353, 12, 940, 4833, 621, 604, 30, 46506, 327, 28270, 7, 23779, 62, 9727, 8, 16034, 3084, 62, 3672, 62, 1558, 33411, 2995, 1875, 604, 5357, 1353, 62, 940, 1279, 604 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 547, 262, 2472, 1271, 286, 6630, 925, 287, 281, 1785, 4025, 621, 604, 290, 257, 1353, 12, 940, 4833, 621, 604, 30, 46506, 327, 28270, 7, 23779, 62, 9727, 8, 16034, 3084, 62, 3672, 62, 1558, 33411, 2995, 1875, 604, 5357, 1353, 62, 940, 1279, 604 ]
what's the electorate where election date is 16 cannot handle non-empty timestamp argument!
SELECT electorate FROM table_1193568_1 WHERE election_date = "16 Cannot handle non-empty timestamp argument!"
[ 10919, 338, 262, 23879, 810, 3071, 3128, 318, 1467, 2314, 5412, 1729, 12, 28920, 41033, 4578, 0, 46506, 23879, 16034, 3084, 62, 16315, 2327, 3104, 62, 16, 33411, 3071, 62, 4475, 796, 366, 1433, 26003, 5412, 1729, 12, 28920, 41033, 4578, 2474 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 338, 262, 23879, 810, 3071, 3128, 318, 1467, 2314, 5412, 1729, 12, 28920, 41033, 4578, 0, 46506, 23879, 16034, 3084, 62, 16315, 2327, 3104, 62, 16, 33411, 3071, 62, 4475, 796, 366, 1433, 26003, 5412, 1729, 12, 28920, 41033, 4578, 2474 ]
what were the four most commonly given microbiology tests a year before for patients who had previously undergone packed cell transfusion within the same hospital visit?
SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'packed cell transfusion') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, microbiologyevents.spec_type_desc, microbiologyevents.charttime, admissions.hadm_id FROM microbiologyevents JOIN admissions ON microbiologyevents.hadm_id = admissions.hadm_id WHERE DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.spec_type_desc) AS t3 WHERE t3.c1 <= 4
[ 10919, 547, 262, 1440, 749, 8811, 1813, 24559, 1435, 5254, 257, 614, 878, 329, 3871, 508, 550, 4271, 29900, 11856, 2685, 13501, 4241, 1626, 262, 976, 4436, 3187, 30, 46506, 256, 18, 13, 16684, 62, 4906, 62, 20147, 16034, 357, 46506, 256, 17, 13, 16684, 62, 4906, 62, 20147, 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, 25349, 13, 32796, 62, 312, 11, 9021, 62, 291, 67, 13, 40926, 2435, 11, 25349, 13, 18108, 76, 62, 312, 16034, 9021, 62, 291, 67, 32357, 1268, 25349, 6177, 9021, 62, 291, 67, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 796, 357, 46506, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 291, 67, 24, 62, 8189, 16034, 288, 62, 291, 67, 62, 1676, 771, 942, 33411, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 19509, 62, 7839, 796, 705, 34860, 2685, 13501, 4241, 11537, 5357, 360, 1404, 2767, 12789, 7, 1676, 771, 942, 62, 291, 67, 13, 40926, 2435, 11, 705, 9688, 286, 614, 11537, 796, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 9688, 286, 614, 3256, 705, 12, 16, 614, 6, 4008, 7054, 256, 16, 32357, 1268, 357, 46506, 25349, 13, 32796, 62, 312, 11, 24559, 1435, 31534, 13, 16684, 62, 4906, 62, 20147, 11, 24559, 1435, 31534, 13, 40926, 2435, 11, 25349, 13, 18108, 76, 62, 312, 16034, 24559, 1435, 31534, 32357, 1268, 25349, 6177, 24559, 1435, 31534, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 360, 1404, 2767, 12789, 7, 24055, 43592, 31534, 13, 40926, 2435, 11, 705, 9688, 286, 614, 11537, 796, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 9688, 286, 614, 3256, 705, 12, 16, 614, 6, 4008, 7054, 256, 17, 6177, 256, 16, 13, 32796, 62, 312, 796, 256, 17, 13, 32796, 62, 312, 33411, 256, 16, 13, 40926, 2435, 1279, 256, 17, 13, 40926, 2435, 5357, 256, 16, 13, 18108, 76, 62, 312, 796, 256, 17, 13, 18108, 76, 62, 312, 44441, 11050, 256, 17, 13, 16684, 62, 4906, 62, 20147, 8, 7054, 256, 18, 33411, 256, 18, 13, 66, 16, 19841, 604 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 547, 262, 1440, 749, 8811, 1813, 24559, 1435, 5254, 257, 614, 878, 329, 3871, 508, 550, 4271, 29900, 11856, 2685, 13501, 4241, 1626, 262, 976, 4436, 3187, 30, 46506, 256, 18, 13, 16684, 62, 4906, 62, 20147, 16034, 357, 46506, 256, 17, 13, 16684, 62, 4906, 62, 20147, 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, 25349, 13, 32796, 62, 312, 11, 9021, 62, 291, 67, 13, 40926, 2435, 11, 25349, 13, 18108, 76, 62, 312, 16034, 9021, 62, 291, 67, 32357, 1268, 25349, 6177, 9021, 62, 291, 67, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 9021, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 796, 357, 46506, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 291, 67, 24, 62, 8189, 16034, 288, 62, 291, 67, 62, 1676, 771, 942, 33411, 288, 62, 291, 67, 62, 1676, 771, 942, 13, 19509, 62, 7839, 796, 705, 34860, 2685, 13501, 4241, 11537, 5357, 360, 1404, 2767, 12789, 7, 1676, 771, 942, 62, 291, 67, 13, 40926, 2435, 11, 705, 9688, 286, 614, 11537, 796, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 9688, 286, 614, 3256, 705, 12, 16, 614, 6, 4008, 7054, 256, 16, 32357, 1268, 357, 46506, 25349, 13, 32796, 62, 312, 11, 24559, 1435, 31534, 13, 16684, 62, 4906, 62, 20147, 11, 24559, 1435, 31534, 13, 40926, 2435, 11, 25349, 13, 18108, 76, 62, 312, 16034, 24559, 1435, 31534, 32357, 1268, 25349, 6177, 24559, 1435, 31534, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 360, 1404, 2767, 12789, 7, 24055, 43592, 31534, 13, 40926, 2435, 11, 705, 9688, 286, 614, 11537, 796, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 9688, 286, 614, 3256, 705, 12, 16, 614, 6, 4008, 7054, 256, 17, 6177, 256, 16, 13, 32796, 62, 312, 796, 256, 17, 13, 32796, 62, 312, 33411, 256, 16, 13, 40926, 2435, 1279, 256, 17, 13, 40926, 2435, 5357, 256, 16, 13, 18108, 76, 62, 312, 796, 256, 17, 13, 18108, 76, 62, 312, 44441, 11050, 256, 17, 13, 16684, 62, 4906, 62, 20147, 8, 7054, 256, 18, 33411, 256, 18, 13, 66, 16, 19841, 604 ]
Who did the Blue Jays lose to on July 16?
SELECT "Loss" FROM table_14606 WHERE "Date" = 'july 16'
[ 8241, 750, 262, 4518, 23288, 4425, 284, 319, 2901, 1467, 30, 46506, 366, 43, 793, 1, 16034, 3084, 62, 1415, 33206, 33411, 366, 10430, 1, 796, 705, 73, 2062, 1467, 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 ]
[ 8241, 750, 262, 4518, 23288, 4425, 284, 319, 2901, 1467, 30, 46506, 366, 43, 793, 1, 16034, 3084, 62, 1415, 33206, 33411, 366, 10430, 1, 796, 705, 73, 2062, 1467, 6 ]
Give me a bar chart for how many actual delivery date of each actual delivery date, and rank total number in descending order.
SELECT Actual_Delivery_Date, COUNT(Actual_Delivery_Date) FROM Bookings ORDER BY COUNT(Actual_Delivery_Date) DESC
[ 23318, 502, 257, 2318, 8262, 329, 703, 867, 4036, 7585, 3128, 286, 1123, 4036, 7585, 3128, 11, 290, 4279, 2472, 1271, 287, 31491, 1502, 13, 46506, 33520, 62, 33129, 62, 10430, 11, 327, 28270, 7, 6398, 723, 62, 33129, 62, 10430, 8, 16034, 4897, 654, 38678, 11050, 327, 28270, 7, 6398, 723, 62, 33129, 62, 10430, 8, 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 ]
[ 23318, 502, 257, 2318, 8262, 329, 703, 867, 4036, 7585, 3128, 286, 1123, 4036, 7585, 3128, 11, 290, 4279, 2472, 1271, 287, 31491, 1502, 13, 46506, 33520, 62, 33129, 62, 10430, 11, 327, 28270, 7, 6398, 723, 62, 33129, 62, 10430, 8, 16034, 4897, 654, 38678, 11050, 327, 28270, 7, 6398, 723, 62, 33129, 62, 10430, 8, 22196, 34 ]
What is the current freq for Frequency of 104.7?
SELECT "Freq currently" FROM table_75080 WHERE "Frequency" = '104.7'
[ 2061, 318, 262, 1459, 2030, 80, 329, 31902, 286, 14436, 13, 22, 30, 46506, 366, 20366, 80, 3058, 1, 16034, 3084, 62, 15426, 1795, 33411, 366, 37, 28707, 1, 796, 705, 13464, 13, 22, 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 ]
[ 2061, 318, 262, 1459, 2030, 80, 329, 31902, 286, 14436, 13, 22, 30, 46506, 366, 20366, 80, 3058, 1, 16034, 3084, 62, 15426, 1795, 33411, 366, 37, 28707, 1, 796, 705, 13464, 13, 22, 6 ]
Follow posts by favorite users.
SELECT CAST(ROUND(CAST(u.Reputation AS FLOAT) / 1000, 1) AS TEXT) + 'K' AS "rep", p.OwnerUserId AS "user_link", CASE WHEN p.PostTypeId = 1 THEN 'Q' ELSE 'A' END AS "q/a", p.Score AS "votes", p.Id AS "post_link", p.LastEditDate AS "modified" FROM Posts AS p JOIN Users AS u ON u.Id = p.OwnerUserId WHERE u.Id IN ('##ListofUserIDs##') ORDER BY 'modified' DESC LIMIT 100
[ 7155, 6851, 416, 4004, 2985, 13, 46506, 327, 11262, 7, 49, 15919, 7, 44647, 7, 84, 13, 6207, 7094, 7054, 9977, 46, 1404, 8, 1220, 8576, 11, 352, 8, 7054, 40383, 8, 1343, 705, 42, 6, 7054, 366, 7856, 1600, 279, 13, 42419, 12982, 7390, 7054, 366, 7220, 62, 8726, 1600, 42001, 42099, 279, 13, 6307, 6030, 7390, 796, 352, 42243, 705, 48, 6, 17852, 5188, 705, 32, 6, 23578, 7054, 366, 80, 14, 64, 1600, 279, 13, 26595, 7054, 366, 29307, 1600, 279, 13, 7390, 7054, 366, 7353, 62, 8726, 1600, 279, 13, 5956, 18378, 10430, 7054, 366, 41771, 1, 16034, 12043, 7054, 279, 32357, 1268, 18987, 7054, 334, 6177, 334, 13, 7390, 796, 279, 13, 42419, 12982, 7390, 33411, 334, 13, 7390, 3268, 19203, 2235, 8053, 1659, 12982, 47954, 2235, 11537, 38678, 11050, 705, 41771, 6, 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 ]
[ 7155, 6851, 416, 4004, 2985, 13, 46506, 327, 11262, 7, 49, 15919, 7, 44647, 7, 84, 13, 6207, 7094, 7054, 9977, 46, 1404, 8, 1220, 8576, 11, 352, 8, 7054, 40383, 8, 1343, 705, 42, 6, 7054, 366, 7856, 1600, 279, 13, 42419, 12982, 7390, 7054, 366, 7220, 62, 8726, 1600, 42001, 42099, 279, 13, 6307, 6030, 7390, 796, 352, 42243, 705, 48, 6, 17852, 5188, 705, 32, 6, 23578, 7054, 366, 80, 14, 64, 1600, 279, 13, 26595, 7054, 366, 29307, 1600, 279, 13, 7390, 7054, 366, 7353, 62, 8726, 1600, 279, 13, 5956, 18378, 10430, 7054, 366, 41771, 1, 16034, 12043, 7054, 279, 32357, 1268, 18987, 7054, 334, 6177, 334, 13, 7390, 796, 279, 13, 42419, 12982, 7390, 33411, 334, 13, 7390, 3268, 19203, 2235, 8053, 1659, 12982, 47954, 2235, 11537, 38678, 11050, 705, 41771, 6, 22196, 34, 27564, 2043, 1802 ]
List all the customers in increasing order of IDs by a bar chart.
SELECT Customer_name, Customer_ID FROM Customers ORDER BY Customer_ID
[ 8053, 477, 262, 4297, 287, 3649, 1502, 286, 32373, 416, 257, 2318, 8262, 13, 46506, 22092, 62, 3672, 11, 22092, 62, 2389, 16034, 36707, 38678, 11050, 22092, 62, 2389 ]
[ 1, 1, 1, 1, 1, 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, 477, 262, 4297, 287, 3649, 1502, 286, 32373, 416, 257, 2318, 8262, 13, 46506, 22092, 62, 3672, 11, 22092, 62, 2389, 16034, 36707, 38678, 11050, 22092, 62, 2389 ]
had patient 006-35134 in this year been admitted to an er?
SELECT COUNT(*) > 0 FROM patient WHERE patient.uniquepid = '006-35134' AND patient.hospitaladmitsource = 'emergency department' AND DATETIME(patient.unitadmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')
[ 18108, 5827, 3571, 21, 12, 2327, 19880, 287, 428, 614, 587, 6848, 284, 281, 1931, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 28041, 12, 2327, 19880, 6, 5357, 5827, 13, 49257, 324, 24883, 1668, 796, 705, 24677, 4949, 5011, 6, 5357, 360, 1404, 2767, 12789, 7, 26029, 13, 20850, 324, 20124, 524, 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 ]
[ 18108, 5827, 3571, 21, 12, 2327, 19880, 287, 428, 614, 587, 6848, 284, 281, 1931, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 28041, 12, 2327, 19880, 6, 5357, 5827, 13, 49257, 324, 24883, 1668, 796, 705, 24677, 4949, 5011, 6, 5357, 360, 1404, 2767, 12789, 7, 26029, 13, 20850, 324, 20124, 524, 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 amount of Gold does Russia have and have a rank larger than 1?
SELECT SUM("Gold") FROM table_57207 WHERE "Nation" = 'russia' AND "Rank" > '1'
[ 2061, 2033, 286, 3561, 857, 3284, 423, 290, 423, 257, 4279, 4025, 621, 352, 30, 46506, 35683, 7203, 13306, 4943, 16034, 3084, 62, 3553, 22745, 33411, 366, 46108, 1, 796, 705, 81, 31269, 6, 5357, 366, 27520, 1, 1875, 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, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 2033, 286, 3561, 857, 3284, 423, 290, 423, 257, 4279, 4025, 621, 352, 30, 46506, 35683, 7203, 13306, 4943, 16034, 3084, 62, 3553, 22745, 33411, 366, 46108, 1, 796, 705, 81, 31269, 6, 5357, 366, 27520, 1, 1875, 705, 16, 6 ]
What are the episode numbers where the episode features Jack & Locke?
SELECT "No. in series" FROM table_16879 WHERE "Featured character(s)" = 'Jack & Locke'
[ 2061, 389, 262, 4471, 3146, 810, 262, 4471, 3033, 3619, 1222, 34576, 30, 46506, 366, 2949, 13, 287, 2168, 1, 16034, 3084, 62, 14656, 3720, 33411, 366, 37948, 2095, 7, 82, 16725, 796, 705, 14295, 1222, 34576, 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 ]
[ 2061, 389, 262, 4471, 3146, 810, 262, 4471, 3033, 3619, 1222, 34576, 30, 46506, 366, 2949, 13, 287, 2168, 1, 16034, 3084, 62, 14656, 3720, 33411, 366, 37948, 2095, 7, 82, 16725, 796, 705, 14295, 1222, 34576, 6 ]
If the second leg is Instituto, what is the total number of aggregate?
SELECT COUNT(aggregate) FROM table_17968233_2 WHERE home__2nd_leg_ = "Instituto"
[ 1532, 262, 1218, 1232, 318, 37931, 9390, 11, 644, 318, 262, 2472, 1271, 286, 19406, 30, 46506, 327, 28270, 7, 9460, 49373, 8, 16034, 3084, 62, 21738, 3104, 25429, 62, 17, 33411, 1363, 834, 17, 358, 62, 1455, 62, 796, 366, 6310, 270, 9390, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 1532, 262, 1218, 1232, 318, 37931, 9390, 11, 644, 318, 262, 2472, 1271, 286, 19406, 30, 46506, 327, 28270, 7, 9460, 49373, 8, 16034, 3084, 62, 21738, 3104, 25429, 62, 17, 33411, 1363, 834, 17, 358, 62, 1455, 62, 796, 366, 6310, 270, 9390, 1 ]
What ream played later than 1958 in the kellogg's tour?
SELECT "Team/Country" FROM table_74596 WHERE "Year" > '1958' AND "Race name" = 'kellogg''s tour'
[ 2061, 302, 321, 2826, 1568, 621, 24648, 287, 262, 885, 297, 10332, 338, 4205, 30, 46506, 366, 15592, 14, 33921, 1, 16034, 3084, 62, 50150, 4846, 33411, 366, 17688, 1, 1875, 705, 1129, 3365, 6, 5357, 366, 35157, 1438, 1, 796, 705, 17164, 10332, 7061, 82, 4205, 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 ]
[ 2061, 302, 321, 2826, 1568, 621, 24648, 287, 262, 885, 297, 10332, 338, 4205, 30, 46506, 366, 15592, 14, 33921, 1, 16034, 3084, 62, 50150, 4846, 33411, 366, 17688, 1, 1875, 705, 1129, 3365, 6, 5357, 366, 35157, 1438, 1, 796, 705, 17164, 10332, 7061, 82, 4205, 6 ]
In what category was character Jacqui Mcqueen nominated before 2011?
SELECT "Category" FROM table_10960 WHERE "Character" = 'jacqui mcqueen' AND "Year" < '2011'
[ 818, 644, 6536, 373, 2095, 44726, 72, 1982, 4188, 268, 19332, 878, 2813, 30, 46506, 366, 27313, 1, 16034, 3084, 62, 14454, 1899, 33411, 366, 27275, 1, 796, 705, 30482, 421, 72, 36650, 4188, 268, 6, 5357, 366, 17688, 1, 1279, 705, 9804, 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 ]
[ 818, 644, 6536, 373, 2095, 44726, 72, 1982, 4188, 268, 19332, 878, 2813, 30, 46506, 366, 27313, 1, 16034, 3084, 62, 14454, 1899, 33411, 366, 27275, 1, 796, 705, 30482, 421, 72, 36650, 4188, 268, 6, 5357, 366, 17688, 1, 1279, 705, 9804, 6 ]
How many villians were in No. 25?
SELECT COUNT(villains) FROM table_10470082_3 WHERE no = 25
[ 2437, 867, 4489, 1547, 547, 287, 1400, 13, 1679, 30, 46506, 327, 28270, 7, 41082, 1299, 8, 16034, 3084, 62, 940, 2857, 405, 6469, 62, 18, 33411, 645, 796, 1679 ]
[ 1, 1, 1, 1, 1, 1, 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, 4489, 1547, 547, 287, 1400, 13, 1679, 30, 46506, 327, 28270, 7, 41082, 1299, 8, 16034, 3084, 62, 940, 2857, 405, 6469, 62, 18, 33411, 645, 796, 1679 ]
What character did Moya Angela portray?
SELECT "Character" FROM table_25005 WHERE "Original Broadway Performer" = 'Moya Angela'
[ 2061, 2095, 750, 337, 23790, 17799, 10993, 30, 46506, 366, 27275, 1, 16034, 3084, 62, 1495, 22544, 33411, 366, 20556, 20617, 2448, 16354, 1, 796, 705, 44, 23790, 17799, 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, 2095, 750, 337, 23790, 17799, 10993, 30, 46506, 366, 27275, 1, 16034, 3084, 62, 1495, 22544, 33411, 366, 20556, 20617, 2448, 16354, 1, 796, 705, 44, 23790, 17799, 6 ]
During the Fall , what classes are available ?
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND semester.semester = 'Fall' AND semester.semester_id = course_offering.semester AND semester.year = 2016
[ 7191, 262, 7218, 837, 644, 6097, 389, 1695, 5633, 46506, 360, 8808, 1268, 4177, 1781, 13, 10378, 1823, 11, 1781, 13, 3672, 11, 1781, 13, 17618, 16034, 1781, 11, 1781, 62, 2364, 1586, 11, 24878, 33411, 1781, 13, 17319, 62, 312, 796, 1781, 62, 2364, 1586, 13, 17319, 62, 312, 5357, 1781, 13, 10378, 1823, 796, 705, 36, 2943, 50, 6, 5357, 24878, 13, 325, 6880, 353, 796, 705, 24750, 6, 5357, 24878, 13, 325, 6880, 353, 62, 312, 796, 1781, 62, 2364, 1586, 13, 325, 6880, 353, 5357, 24878, 13, 1941, 796, 1584 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 7191, 262, 7218, 837, 644, 6097, 389, 1695, 5633, 46506, 360, 8808, 1268, 4177, 1781, 13, 10378, 1823, 11, 1781, 13, 3672, 11, 1781, 13, 17618, 16034, 1781, 11, 1781, 62, 2364, 1586, 11, 24878, 33411, 1781, 13, 17319, 62, 312, 796, 1781, 62, 2364, 1586, 13, 17319, 62, 312, 5357, 1781, 13, 10378, 1823, 796, 705, 36, 2943, 50, 6, 5357, 24878, 13, 325, 6880, 353, 796, 705, 24750, 6, 5357, 24878, 13, 325, 6880, 353, 62, 312, 796, 1781, 62, 2364, 1586, 13, 325, 6880, 353, 5357, 24878, 13, 1941, 796, 1584 ]
Is it true that geoffrey e. hinton has more citations than yann lecun ?
SELECT DISTINCT author.authorname, COUNT(writes.paperid) FROM author, writes WHERE author.authorname IN ('geoffrey e. hinton', 'yann lecun') AND writes.authorid = author.authorid GROUP BY author.authorname ORDER BY COUNT(writes.paperid) DESC
[ 3792, 340, 2081, 326, 4903, 2364, 4364, 304, 13, 289, 2371, 468, 517, 33499, 621, 331, 1236, 443, 66, 403, 5633, 46506, 360, 8808, 1268, 4177, 1772, 13, 18439, 1211, 480, 11, 327, 28270, 7, 8933, 274, 13, 20189, 312, 8, 16034, 1772, 11, 6797, 33411, 1772, 13, 18439, 1211, 480, 3268, 19203, 469, 2364, 4364, 304, 13, 289, 2371, 3256, 705, 88, 1236, 443, 66, 403, 11537, 5357, 6797, 13, 9800, 312, 796, 1772, 13, 9800, 312, 44441, 11050, 1772, 13, 18439, 1211, 480, 38678, 11050, 327, 28270, 7, 8933, 274, 13, 20189, 312, 8, 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 ]
[ 3792, 340, 2081, 326, 4903, 2364, 4364, 304, 13, 289, 2371, 468, 517, 33499, 621, 331, 1236, 443, 66, 403, 5633, 46506, 360, 8808, 1268, 4177, 1772, 13, 18439, 1211, 480, 11, 327, 28270, 7, 8933, 274, 13, 20189, 312, 8, 16034, 1772, 11, 6797, 33411, 1772, 13, 18439, 1211, 480, 3268, 19203, 469, 2364, 4364, 304, 13, 289, 2371, 3256, 705, 88, 1236, 443, 66, 403, 11537, 5357, 6797, 13, 9800, 312, 796, 1772, 13, 9800, 312, 44441, 11050, 1772, 13, 18439, 1211, 480, 38678, 11050, 327, 28270, 7, 8933, 274, 13, 20189, 312, 8, 22196, 34 ]
Bar graph to show how many installation date from different installation date, display the number of installation date from high to low order please.
SELECT installation_date, COUNT(installation_date) FROM station ORDER BY COUNT(installation_date) DESC
[ 10374, 4823, 284, 905, 703, 867, 9988, 3128, 422, 1180, 9988, 3128, 11, 3359, 262, 1271, 286, 9988, 3128, 422, 1029, 284, 1877, 1502, 3387, 13, 46506, 9988, 62, 4475, 11, 327, 28270, 7, 17350, 341, 62, 4475, 8, 16034, 4429, 38678, 11050, 327, 28270, 7, 17350, 341, 62, 4475, 8, 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 ]
[ 10374, 4823, 284, 905, 703, 867, 9988, 3128, 422, 1180, 9988, 3128, 11, 3359, 262, 1271, 286, 9988, 3128, 422, 1029, 284, 1877, 1502, 3387, 13, 46506, 9988, 62, 4475, 11, 327, 28270, 7, 17350, 341, 62, 4475, 8, 16034, 4429, 38678, 11050, 327, 28270, 7, 17350, 341, 62, 4475, 8, 22196, 34 ]
tell me the total amount of enteral tube intake: orogastric nostril, r 16 fr patient 006-181433 received since 342 days ago?
SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-181433')) AND intakeoutput.celllabel = 'enteral tube intake: orogastric nostril, r 16 fr' AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime) >= DATETIME(CURRENT_TIME(), '-342 day')
[ 33331, 502, 262, 2472, 2033, 286, 920, 1691, 12403, 10337, 25, 267, 3828, 459, 1173, 18216, 22379, 11, 374, 1467, 1216, 5827, 3571, 21, 12, 1507, 1415, 2091, 2722, 1201, 44341, 1528, 2084, 30, 46506, 35683, 7, 600, 539, 22915, 13, 3846, 2100, 84, 268, 39223, 8, 16034, 10337, 22915, 33411, 10337, 22915, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 20850, 31712, 312, 16034, 5827, 33411, 5827, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 28041, 12, 1507, 1415, 2091, 6, 4008, 5357, 10337, 22915, 13, 3846, 18242, 796, 705, 298, 1691, 12403, 10337, 25, 267, 3828, 459, 1173, 18216, 22379, 11, 374, 1467, 1216, 6, 5357, 10337, 22915, 13, 3846, 6978, 34178, 705, 4, 600, 539, 4, 6, 5357, 360, 1404, 2767, 12789, 7, 600, 539, 22915, 13, 600, 539, 22915, 2435, 8, 18189, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 31575, 1110, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 33331, 502, 262, 2472, 2033, 286, 920, 1691, 12403, 10337, 25, 267, 3828, 459, 1173, 18216, 22379, 11, 374, 1467, 1216, 5827, 3571, 21, 12, 1507, 1415, 2091, 2722, 1201, 44341, 1528, 2084, 30, 46506, 35683, 7, 600, 539, 22915, 13, 3846, 2100, 84, 268, 39223, 8, 16034, 10337, 22915, 33411, 10337, 22915, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 20850, 31712, 312, 16034, 5827, 33411, 5827, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 403, 1557, 538, 312, 796, 705, 28041, 12, 1507, 1415, 2091, 6, 4008, 5357, 10337, 22915, 13, 3846, 18242, 796, 705, 298, 1691, 12403, 10337, 25, 267, 3828, 459, 1173, 18216, 22379, 11, 374, 1467, 1216, 6, 5357, 10337, 22915, 13, 3846, 6978, 34178, 705, 4, 600, 539, 4, 6, 5357, 360, 1404, 2767, 12789, 7, 600, 539, 22915, 13, 600, 539, 22915, 2435, 8, 18189, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 31575, 1110, 11537 ]
Which district had first elected earlier than 2006 for representation of Broken Arrow, Tulsa?
SELECT district FROM table_name_7 WHERE first_elected < 2006 AND towns_represented = "broken arrow, tulsa"
[ 13828, 4783, 550, 717, 7018, 2961, 621, 4793, 329, 10552, 286, 22607, 19408, 11, 36443, 30, 46506, 4783, 16034, 3084, 62, 3672, 62, 22, 33411, 717, 62, 28604, 1279, 4793, 5357, 11684, 62, 33469, 796, 366, 25826, 15452, 11, 256, 5753, 64, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4783, 550, 717, 7018, 2961, 621, 4793, 329, 10552, 286, 22607, 19408, 11, 36443, 30, 46506, 4783, 16034, 3084, 62, 3672, 62, 22, 33411, 717, 62, 28604, 1279, 4793, 5357, 11684, 62, 33469, 796, 366, 25826, 15452, 11, 256, 5753, 64, 1 ]
What is the average week number of all the matches where less than 22,604 people attended?
SELECT AVG("Week") FROM table_74715 WHERE "Attendance" < '22,604'
[ 2061, 318, 262, 2811, 1285, 1271, 286, 477, 262, 7466, 810, 1342, 621, 2534, 11, 31916, 661, 9141, 30, 46506, 35224, 7203, 20916, 4943, 16034, 3084, 62, 48882, 1314, 33411, 366, 8086, 437, 590, 1, 1279, 705, 1828, 11, 31916, 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, 262, 2811, 1285, 1271, 286, 477, 262, 7466, 810, 1342, 621, 2534, 11, 31916, 661, 9141, 30, 46506, 35224, 7203, 20916, 4943, 16034, 3084, 62, 48882, 1314, 33411, 366, 8086, 437, 590, 1, 1279, 705, 1828, 11, 31916, 6 ]
Which network was located in Illinois?
SELECT "Network" FROM table_30044 WHERE "State or Territory" = 'Illinois'
[ 13828, 3127, 373, 5140, 287, 9486, 30, 46506, 366, 26245, 1, 16034, 3084, 62, 6200, 2598, 33411, 366, 9012, 393, 25219, 1, 796, 705, 21478, 8981, 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, 3127, 373, 5140, 287, 9486, 30, 46506, 366, 26245, 1, 16034, 3084, 62, 6200, 2598, 33411, 366, 9012, 393, 25219, 1, 796, 705, 21478, 8981, 6 ]
Name the % for core moldova being 4.36%
SELECT _percentage FROM table_19260_1 WHERE _percentage_core_moldova = "4.36_percentage"
[ 5376, 262, 4064, 329, 4755, 15936, 10071, 852, 604, 13, 2623, 4, 46506, 4808, 25067, 496, 16034, 3084, 62, 17477, 1899, 62, 16, 33411, 4808, 25067, 496, 62, 7295, 62, 76, 727, 10071, 796, 366, 19, 13, 2623, 62, 25067, 496, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4064, 329, 4755, 15936, 10071, 852, 604, 13, 2623, 4, 46506, 4808, 25067, 496, 16034, 3084, 62, 17477, 1899, 62, 16, 33411, 4808, 25067, 496, 62, 7295, 62, 76, 727, 10071, 796, 366, 19, 13, 2623, 62, 25067, 496, 1 ]
Which position does the player from Muscle Shoals, Alabama play?
SELECT position FROM table_name_68 WHERE hometown = "muscle shoals, alabama"
[ 13828, 2292, 857, 262, 2137, 422, 43683, 40510, 11, 9266, 711, 30, 46506, 2292, 16034, 3084, 62, 3672, 62, 3104, 33411, 20994, 796, 366, 14664, 2375, 7354, 874, 11, 435, 8809, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 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, 2292, 857, 262, 2137, 422, 43683, 40510, 11, 9266, 711, 30, 46506, 2292, 16034, 3084, 62, 3672, 62, 3104, 33411, 20994, 796, 366, 14664, 2375, 7354, 874, 11, 435, 8809, 1 ]
What are the names of the clubs that have players in the position of 'Right Wing'?
SELECT T1.name FROM club AS T1 JOIN player AS T2 ON T1.club_id = T2.club_id WHERE T2.position = "Right Wing"
[ 2061, 389, 262, 3891, 286, 262, 9784, 326, 423, 1938, 287, 262, 2292, 286, 705, 11028, 13405, 30960, 46506, 309, 16, 13, 3672, 16034, 3430, 7054, 309, 16, 32357, 1268, 2137, 7054, 309, 17, 6177, 309, 16, 13, 18664, 62, 312, 796, 309, 17, 13, 18664, 62, 312, 33411, 309, 17, 13, 9150, 796, 366, 11028, 13405, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3891, 286, 262, 9784, 326, 423, 1938, 287, 262, 2292, 286, 705, 11028, 13405, 30960, 46506, 309, 16, 13, 3672, 16034, 3430, 7054, 309, 16, 32357, 1268, 2137, 7054, 309, 17, 6177, 309, 16, 13, 18664, 62, 312, 796, 309, 17, 13, 18664, 62, 312, 33411, 309, 17, 13, 9150, 796, 366, 11028, 13405, 1 ]
What are the average points of Scuderia Scribante with a Brabham bt11 chassis before 1968?
SELECT AVG(points) FROM table_name_16 WHERE entrant = "scuderia scribante" AND chassis = "brabham bt11" AND year < 1968
[ 2061, 389, 262, 2811, 2173, 286, 1446, 463, 5142, 44469, 12427, 351, 257, 1709, 397, 2763, 275, 83, 1157, 24587, 878, 15963, 30, 46506, 35224, 7, 13033, 8, 16034, 3084, 62, 3672, 62, 1433, 33411, 920, 5250, 796, 366, 1416, 463, 5142, 44661, 12427, 1, 5357, 24587, 796, 366, 1671, 397, 2763, 275, 83, 1157, 1, 5357, 614, 1279, 15963 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2811, 2173, 286, 1446, 463, 5142, 44469, 12427, 351, 257, 1709, 397, 2763, 275, 83, 1157, 24587, 878, 15963, 30, 46506, 35224, 7, 13033, 8, 16034, 3084, 62, 3672, 62, 1433, 33411, 920, 5250, 796, 366, 1416, 463, 5142, 44661, 12427, 1, 5357, 24587, 796, 366, 1671, 397, 2763, 275, 83, 1157, 1, 5357, 614, 1279, 15963 ]
What was the winning score in the tournament, ending with Birdie Kim as a runner-up?
SELECT "Winning score" FROM table_2044 WHERE "Runner(s)-up" = 'Birdie Kim'
[ 2061, 373, 262, 5442, 4776, 287, 262, 7756, 11, 7464, 351, 14506, 494, 6502, 355, 257, 17490, 12, 929, 30, 46506, 366, 16643, 768, 4776, 1, 16034, 3084, 62, 1238, 2598, 33411, 366, 49493, 7, 82, 13219, 929, 1, 796, 705, 42562, 494, 6502, 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 ]
[ 2061, 373, 262, 5442, 4776, 287, 262, 7756, 11, 7464, 351, 14506, 494, 6502, 355, 257, 17490, 12, 929, 30, 46506, 366, 16643, 768, 4776, 1, 16034, 3084, 62, 1238, 2598, 33411, 366, 49493, 7, 82, 13219, 929, 1, 796, 705, 42562, 494, 6502, 6 ]
Which title has a year later than 1986 with an album as the format?
SELECT "Title" FROM table_69088 WHERE "Year" > '1986' AND "Format(s)" = 'album'
[ 13828, 3670, 468, 257, 614, 1568, 621, 12113, 351, 281, 5062, 355, 262, 5794, 30, 46506, 366, 19160, 1, 16034, 3084, 62, 3388, 46556, 33411, 366, 17688, 1, 1875, 705, 28054, 6, 5357, 366, 26227, 7, 82, 16725, 796, 705, 40916, 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 ]
[ 13828, 3670, 468, 257, 614, 1568, 621, 12113, 351, 281, 5062, 355, 262, 5794, 30, 46506, 366, 19160, 1, 16034, 3084, 62, 3388, 46556, 33411, 366, 17688, 1, 1875, 705, 28054, 6, 5357, 366, 26227, 7, 82, 16725, 796, 705, 40916, 6 ]
how many patients stayed in hospital for more than 5 days and were diagnosed with phlebitis and thrombophlebitis of superficial veins of upper extremities?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "5" AND diagnoses.long_title = "Phlebitis and thrombophlebitis of superficial veins of upper extremities"
[ 4919, 867, 3871, 9658, 287, 4436, 329, 517, 621, 642, 1528, 290, 547, 14641, 351, 872, 293, 2545, 271, 290, 294, 398, 65, 2522, 293, 2545, 271, 286, 31194, 32375, 286, 6727, 8963, 871, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 12545, 62, 31712, 1875, 366, 20, 1, 5357, 40567, 13, 6511, 62, 7839, 796, 366, 2725, 293, 2545, 271, 290, 294, 398, 65, 2522, 293, 2545, 271, 286, 31194, 32375, 286, 6727, 8963, 871, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 9658, 287, 4436, 329, 517, 621, 642, 1528, 290, 547, 14641, 351, 872, 293, 2545, 271, 290, 294, 398, 65, 2522, 293, 2545, 271, 286, 31194, 32375, 286, 6727, 8963, 871, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 13, 18108, 76, 62, 312, 33411, 16728, 13, 12545, 62, 31712, 1875, 366, 20, 1, 5357, 40567, 13, 6511, 62, 7839, 796, 366, 2725, 293, 2545, 271, 290, 294, 398, 65, 2522, 293, 2545, 271, 286, 31194, 32375, 286, 6727, 8963, 871, 1 ]
I want to know the number of districts of markets they are on.
SELECT District, COUNT(District) FROM phone_market AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID JOIN phone AS T3 ON T1.Phone_ID = T3.Phone_ID GROUP BY District
[ 40, 765, 284, 760, 262, 1271, 286, 12815, 286, 5939, 484, 389, 319, 13, 46506, 5665, 11, 327, 28270, 7, 44857, 8, 16034, 3072, 62, 10728, 7054, 309, 16, 32357, 1268, 1910, 7054, 309, 17, 6177, 309, 16, 13, 27470, 62, 2389, 796, 309, 17, 13, 27470, 62, 2389, 32357, 1268, 3072, 7054, 309, 18, 6177, 309, 16, 13, 6132, 62, 2389, 796, 309, 18, 13, 6132, 62, 2389, 44441, 11050, 5665 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 40, 765, 284, 760, 262, 1271, 286, 12815, 286, 5939, 484, 389, 319, 13, 46506, 5665, 11, 327, 28270, 7, 44857, 8, 16034, 3072, 62, 10728, 7054, 309, 16, 32357, 1268, 1910, 7054, 309, 17, 6177, 309, 16, 13, 27470, 62, 2389, 796, 309, 17, 13, 27470, 62, 2389, 32357, 1268, 3072, 7054, 309, 18, 6177, 309, 16, 13, 6132, 62, 2389, 796, 309, 18, 13, 6132, 62, 2389, 44441, 11050, 5665 ]
What commune had a 2002 population of 130394?
SELECT "Commune" FROM table_22245 WHERE "2002 population" = '130394'
[ 2061, 1316, 68, 550, 257, 6244, 3265, 286, 11323, 34626, 30, 46506, 366, 6935, 1726, 1, 16034, 3084, 62, 1828, 22995, 33411, 366, 16942, 3265, 1, 796, 705, 12952, 34626, 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, 1316, 68, 550, 257, 6244, 3265, 286, 11323, 34626, 30, 46506, 366, 6935, 1726, 1, 16034, 3084, 62, 1828, 22995, 33411, 366, 16942, 3265, 1, 796, 705, 12952, 34626, 6 ]
Which player was drafted by the New York Rangers?
SELECT "Player" FROM table_30558 WHERE "NHL team" = 'New York Rangers'
[ 13828, 2137, 373, 15937, 416, 262, 968, 1971, 13804, 30, 46506, 366, 14140, 1, 16034, 3084, 62, 1270, 40486, 33411, 366, 45, 6581, 1074, 1, 796, 705, 3791, 1971, 13804, 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 ]
[ 13828, 2137, 373, 15937, 416, 262, 968, 1971, 13804, 30, 46506, 366, 14140, 1, 16034, 3084, 62, 1270, 40486, 33411, 366, 45, 6581, 1074, 1, 796, 705, 3791, 1971, 13804, 6 ]
For those employees who did not have any job in the past, draw a bar chart about the distribution of job_id and the sum of manager_id , and group by attribute job_id, I want to sort by the names from high to low.
SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID DESC
[ 1890, 883, 4409, 508, 750, 407, 423, 597, 1693, 287, 262, 1613, 11, 3197, 257, 2318, 8262, 546, 262, 6082, 286, 1693, 62, 312, 290, 262, 2160, 286, 4706, 62, 312, 837, 290, 1448, 416, 11688, 1693, 62, 312, 11, 314, 765, 284, 3297, 416, 262, 3891, 422, 1029, 284, 1877, 13, 46506, 449, 9864, 62, 2389, 11, 35683, 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, 449, 9864, 62, 2389, 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 ]
[ 1890, 883, 4409, 508, 750, 407, 423, 597, 1693, 287, 262, 1613, 11, 3197, 257, 2318, 8262, 546, 262, 6082, 286, 1693, 62, 312, 290, 262, 2160, 286, 4706, 62, 312, 837, 290, 1448, 416, 11688, 1693, 62, 312, 11, 314, 765, 284, 3297, 416, 262, 3891, 422, 1029, 284, 1877, 13, 46506, 449, 9864, 62, 2389, 11, 35683, 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, 449, 9864, 62, 2389, 22196, 34 ]
who directed the movie written by is sib ventress / aydrea ten bosch
SELECT directed_by FROM table_10269427_3 WHERE written_by = "Sib Ventress / Aydrea ten Bosch"
[ 8727, 7924, 262, 3807, 3194, 416, 318, 264, 571, 7435, 601, 1220, 257, 5173, 21468, 3478, 37284, 354, 46506, 7924, 62, 1525, 16034, 3084, 62, 940, 2075, 5824, 1983, 62, 18, 33411, 3194, 62, 1525, 796, 366, 50, 571, 15716, 601, 1220, 317, 5173, 21468, 3478, 14548, 354, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 8727, 7924, 262, 3807, 3194, 416, 318, 264, 571, 7435, 601, 1220, 257, 5173, 21468, 3478, 37284, 354, 46506, 7924, 62, 1525, 16034, 3084, 62, 940, 2075, 5824, 1983, 62, 18, 33411, 3194, 62, 1525, 796, 366, 50, 571, 15716, 601, 1220, 317, 5173, 21468, 3478, 14548, 354, 1 ]
Which country's material was concrete when the span metres were less than 270, span feet is more than 837, and the year opened was 1943?
SELECT country FROM table_name_36 WHERE material = "concrete" AND span_metres < 270 AND span_feet > 837 AND year_opened = "1943"
[ 13828, 1499, 338, 2587, 373, 10017, 618, 262, 11506, 18985, 547, 1342, 621, 20479, 11, 11506, 3625, 318, 517, 621, 807, 2718, 11, 290, 262, 614, 4721, 373, 21577, 30, 46506, 1499, 16034, 3084, 62, 3672, 62, 2623, 33411, 2587, 796, 366, 1102, 38669, 1, 5357, 11506, 62, 4164, 411, 1279, 20479, 5357, 11506, 62, 39690, 1875, 807, 2718, 5357, 614, 62, 26350, 796, 366, 1129, 3559, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1499, 338, 2587, 373, 10017, 618, 262, 11506, 18985, 547, 1342, 621, 20479, 11, 11506, 3625, 318, 517, 621, 807, 2718, 11, 290, 262, 614, 4721, 373, 21577, 30, 46506, 1499, 16034, 3084, 62, 3672, 62, 2623, 33411, 2587, 796, 366, 1102, 38669, 1, 5357, 11506, 62, 4164, 411, 1279, 20479, 5357, 11506, 62, 39690, 1875, 807, 2718, 5357, 614, 62, 26350, 796, 366, 1129, 3559, 1 ]
what was the number of drugs patient 30509 was prescribed until 1 year ago?
SELECT COUNT(*) FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 30509) AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-1 year')
[ 10919, 373, 262, 1271, 286, 5010, 5827, 1542, 29022, 373, 14798, 1566, 352, 614, 2084, 30, 46506, 327, 28270, 7, 28104, 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, 1542, 29022, 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, 16, 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 ]
[ 10919, 373, 262, 1271, 286, 5010, 5827, 1542, 29022, 373, 14798, 1566, 352, 614, 2084, 30, 46506, 327, 28270, 7, 28104, 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, 1542, 29022, 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, 16, 614, 11537 ]
how many patients whose admission location is transfer from hosp/extram and primary disease is hypoxia?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND demographic.diagnosis = "HYPOXIA"
[ 4919, 867, 3871, 3025, 13938, 4067, 318, 4351, 422, 10496, 14, 2302, 859, 290, 4165, 4369, 318, 5328, 1140, 544, 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, 5446, 15037, 24302, 16034, 367, 47053, 14, 6369, 5446, 2390, 1, 5357, 16728, 13, 47356, 5958, 796, 366, 42598, 16402, 55, 3539, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 3025, 13938, 4067, 318, 4351, 422, 10496, 14, 2302, 859, 290, 4165, 4369, 318, 5328, 1140, 544, 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, 5446, 15037, 24302, 16034, 367, 47053, 14, 6369, 5446, 2390, 1, 5357, 16728, 13, 47356, 5958, 796, 366, 42598, 16402, 55, 3539, 1 ]
What park is Boardwalk Bullet located in?
SELECT park FROM table_2665085_1 WHERE name = "Boardwalk Bullet"
[ 2061, 3952, 318, 5926, 11152, 18003, 5140, 287, 30, 46506, 3952, 16034, 3084, 62, 2075, 17544, 5332, 62, 16, 33411, 1438, 796, 366, 29828, 11152, 18003, 1 ]
[ 1, 1, 1, 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, 3952, 318, 5926, 11152, 18003, 5140, 287, 30, 46506, 3952, 16034, 3084, 62, 2075, 17544, 5332, 62, 16, 33411, 1438, 796, 366, 29828, 11152, 18003, 1 ]
What is Nader's percentage when Obama is 44.6%?
SELECT "Nader%" FROM table_2266 WHERE "Obama%" = '44.6%'
[ 2061, 318, 399, 5067, 338, 5873, 618, 2486, 318, 5846, 13, 21, 4, 30, 46506, 366, 45, 5067, 39658, 16034, 3084, 62, 1828, 2791, 33411, 366, 15948, 39658, 796, 705, 2598, 13, 21, 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 ]
[ 2061, 318, 399, 5067, 338, 5873, 618, 2486, 318, 5846, 13, 21, 4, 30, 46506, 366, 45, 5067, 39658, 16034, 3084, 62, 1828, 2791, 33411, 366, 15948, 39658, 796, 705, 2598, 13, 21, 4, 6 ]
Tell me the average year for rank more than 3 and 28 floors
SELECT AVG(year) FROM table_name_84 WHERE rank > 3 AND floors = 28
[ 24446, 502, 262, 2811, 614, 329, 4279, 517, 621, 513, 290, 2579, 18570, 46506, 35224, 7, 1941, 8, 16034, 3084, 62, 3672, 62, 5705, 33411, 4279, 1875, 513, 5357, 18570, 796, 2579 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 24446, 502, 262, 2811, 614, 329, 4279, 517, 621, 513, 290, 2579, 18570, 46506, 35224, 7, 1941, 8, 16034, 3084, 62, 3672, 62, 5705, 33411, 4279, 1875, 513, 5357, 18570, 796, 2579 ]
how many patients were diagnosed with bacteria dis carrier nec and didn't come back in to the hospital within 2 months since 2105?
SELECT (SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'bacteria dis carrier nec') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105') AS t1) - (SELECT COUNT(DISTINCT t2.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'bacteria dis carrier nec') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2105') AS t2 JOIN admissions ON t2.subject_id = admissions.subject_id WHERE t2.charttime < admissions.admittime AND STRFTIME('%y', admissions.admittime) >= '2105' AND DATETIME(admissions.admittime) BETWEEN DATETIME(t2.charttime) AND DATETIME(t2.charttime, '+2 month'))
[ 4919, 867, 3871, 547, 14641, 351, 11492, 595, 11920, 27576, 290, 1422, 470, 1282, 736, 287, 284, 262, 4436, 1626, 362, 1933, 1201, 362, 13348, 30, 46506, 357, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 256, 16, 13, 32796, 62, 312, 8, 16034, 357, 46506, 25349, 13, 32796, 62, 312, 11, 40567, 62, 291, 67, 13, 40926, 2435, 16034, 40567, 62, 291, 67, 32357, 1268, 25349, 6177, 40567, 62, 291, 67, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 40567, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 796, 357, 46506, 288, 62, 291, 67, 62, 47356, 4629, 13, 291, 67, 24, 62, 8189, 16034, 288, 62, 291, 67, 62, 47356, 4629, 33411, 288, 62, 291, 67, 62, 47356, 4629, 13, 19509, 62, 7839, 796, 705, 65, 10634, 595, 11920, 27576, 11537, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 40567, 62, 291, 67, 13, 40926, 2435, 8, 18189, 705, 17, 13348, 11537, 7054, 256, 16, 8, 532, 357, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 256, 17, 13, 32796, 62, 312, 8, 16034, 357, 46506, 25349, 13, 32796, 62, 312, 11, 40567, 62, 291, 67, 13, 40926, 2435, 16034, 40567, 62, 291, 67, 32357, 1268, 25349, 6177, 40567, 62, 291, 67, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 40567, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 796, 357, 46506, 288, 62, 291, 67, 62, 47356, 4629, 13, 291, 67, 24, 62, 8189, 16034, 288, 62, 291, 67, 62, 47356, 4629, 33411, 288, 62, 291, 67, 62, 47356, 4629, 13, 19509, 62, 7839, 796, 705, 65, 10634, 595, 11920, 27576, 11537, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 40567, 62, 291, 67, 13, 40926, 2435, 8, 18189, 705, 17, 13348, 11537, 7054, 256, 17, 32357, 1268, 25349, 6177, 256, 17, 13, 32796, 62, 312, 796, 25349, 13, 32796, 62, 312, 33411, 256, 17, 13, 40926, 2435, 1279, 25349, 13, 324, 20124, 524, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 25349, 13, 324, 20124, 524, 8, 18189, 705, 17, 13348, 6, 5357, 360, 1404, 2767, 12789, 7, 324, 8481, 13, 324, 20124, 524, 8, 38651, 8845, 1677, 360, 1404, 2767, 12789, 7, 83, 17, 13, 40926, 2435, 8, 5357, 360, 1404, 2767, 12789, 7, 83, 17, 13, 40926, 2435, 11, 705, 10, 17, 1227, 6, 4008 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 547, 14641, 351, 11492, 595, 11920, 27576, 290, 1422, 470, 1282, 736, 287, 284, 262, 4436, 1626, 362, 1933, 1201, 362, 13348, 30, 46506, 357, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 256, 16, 13, 32796, 62, 312, 8, 16034, 357, 46506, 25349, 13, 32796, 62, 312, 11, 40567, 62, 291, 67, 13, 40926, 2435, 16034, 40567, 62, 291, 67, 32357, 1268, 25349, 6177, 40567, 62, 291, 67, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 40567, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 796, 357, 46506, 288, 62, 291, 67, 62, 47356, 4629, 13, 291, 67, 24, 62, 8189, 16034, 288, 62, 291, 67, 62, 47356, 4629, 33411, 288, 62, 291, 67, 62, 47356, 4629, 13, 19509, 62, 7839, 796, 705, 65, 10634, 595, 11920, 27576, 11537, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 40567, 62, 291, 67, 13, 40926, 2435, 8, 18189, 705, 17, 13348, 11537, 7054, 256, 16, 8, 532, 357, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 256, 17, 13, 32796, 62, 312, 8, 16034, 357, 46506, 25349, 13, 32796, 62, 312, 11, 40567, 62, 291, 67, 13, 40926, 2435, 16034, 40567, 62, 291, 67, 32357, 1268, 25349, 6177, 40567, 62, 291, 67, 13, 18108, 76, 62, 312, 796, 25349, 13, 18108, 76, 62, 312, 33411, 40567, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 796, 357, 46506, 288, 62, 291, 67, 62, 47356, 4629, 13, 291, 67, 24, 62, 8189, 16034, 288, 62, 291, 67, 62, 47356, 4629, 33411, 288, 62, 291, 67, 62, 47356, 4629, 13, 19509, 62, 7839, 796, 705, 65, 10634, 595, 11920, 27576, 11537, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 40567, 62, 291, 67, 13, 40926, 2435, 8, 18189, 705, 17, 13348, 11537, 7054, 256, 17, 32357, 1268, 25349, 6177, 256, 17, 13, 32796, 62, 312, 796, 25349, 13, 32796, 62, 312, 33411, 256, 17, 13, 40926, 2435, 1279, 25349, 13, 324, 20124, 524, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 25349, 13, 324, 20124, 524, 8, 18189, 705, 17, 13348, 6, 5357, 360, 1404, 2767, 12789, 7, 324, 8481, 13, 324, 20124, 524, 8, 38651, 8845, 1677, 360, 1404, 2767, 12789, 7, 83, 17, 13, 40926, 2435, 8, 5357, 360, 1404, 2767, 12789, 7, 83, 17, 13, 40926, 2435, 11, 705, 10, 17, 1227, 6, 4008 ]
Which Date has a Record of 1-4?
SELECT "Date" FROM table_78795 WHERE "Record" = '1-4'
[ 13828, 7536, 468, 257, 13266, 286, 352, 12, 19, 30, 46506, 366, 10430, 1, 16034, 3084, 62, 3695, 41544, 33411, 366, 23739, 1, 796, 705, 16, 12, 19, 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 ]
[ 13828, 7536, 468, 257, 13266, 286, 352, 12, 19, 30, 46506, 366, 10430, 1, 16034, 3084, 62, 3695, 41544, 33411, 366, 23739, 1, 796, 705, 16, 12, 19, 6 ]
Show the customer ids and firstname without a credit card.
SELECT customer_id, customer_first_name FROM customers EXCEPT SELECT T1.customer_id, T2.customer_first_name FROM customers_cards AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE card_type_code = "Credit"
[ 15307, 262, 6491, 220, 2340, 290, 717, 3672, 1231, 257, 3884, 2657, 13, 46506, 6491, 62, 312, 11, 6491, 62, 11085, 62, 3672, 16034, 4297, 7788, 42006, 33493, 309, 16, 13, 23144, 263, 62, 312, 11, 309, 17, 13, 23144, 263, 62, 11085, 62, 3672, 16034, 4297, 62, 27761, 7054, 309, 16, 32357, 1268, 4297, 7054, 309, 17, 6177, 309, 16, 13, 23144, 263, 62, 312, 796, 309, 17, 13, 23144, 263, 62, 312, 33411, 2657, 62, 4906, 62, 8189, 796, 366, 23690, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 262, 6491, 220, 2340, 290, 717, 3672, 1231, 257, 3884, 2657, 13, 46506, 6491, 62, 312, 11, 6491, 62, 11085, 62, 3672, 16034, 4297, 7788, 42006, 33493, 309, 16, 13, 23144, 263, 62, 312, 11, 309, 17, 13, 23144, 263, 62, 11085, 62, 3672, 16034, 4297, 62, 27761, 7054, 309, 16, 32357, 1268, 4297, 7054, 309, 17, 6177, 309, 16, 13, 23144, 263, 62, 312, 796, 309, 17, 13, 23144, 263, 62, 312, 33411, 2657, 62, 4906, 62, 8189, 796, 366, 23690, 1 ]
List the name of physicians who took some appointment, and count them by a bar chart, sort Y-axis in ascending order.
SELECT Name, COUNT(Name) FROM Appointment AS T1 JOIN Physician AS T2 ON T1.Physician = T2.EmployeeID GROUP BY Name ORDER BY COUNT(Name)
[ 8053, 262, 1438, 286, 17206, 508, 1718, 617, 12557, 11, 290, 954, 606, 416, 257, 2318, 8262, 11, 3297, 575, 12, 22704, 287, 41988, 1502, 13, 46506, 6530, 11, 327, 28270, 7, 5376, 8, 16034, 2034, 49805, 7054, 309, 16, 32357, 1268, 8687, 6749, 7054, 309, 17, 6177, 309, 16, 13, 43215, 6749, 796, 309, 17, 13, 29733, 1453, 2389, 44441, 11050, 6530, 38678, 11050, 327, 28270, 7, 5376, 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 ]
[ 8053, 262, 1438, 286, 17206, 508, 1718, 617, 12557, 11, 290, 954, 606, 416, 257, 2318, 8262, 11, 3297, 575, 12, 22704, 287, 41988, 1502, 13, 46506, 6530, 11, 327, 28270, 7, 5376, 8, 16034, 2034, 49805, 7054, 309, 16, 32357, 1268, 8687, 6749, 7054, 309, 17, 6177, 309, 16, 13, 43215, 6749, 796, 309, 17, 13, 29733, 1453, 2389, 44441, 11050, 6530, 38678, 11050, 327, 28270, 7, 5376, 8 ]
The location (transmitter site) San Fernando, Pampanga ** has what Power kW (ERP)?
SELECT "Power kW (ERP)" FROM table_73878 WHERE "Location (Transmitter Site)" = 'San Fernando, Pampanga **'
[ 464, 4067, 357, 7645, 37974, 2524, 8, 2986, 31063, 11, 350, 696, 16484, 12429, 468, 644, 4333, 50223, 357, 1137, 47, 19427, 46506, 366, 13434, 50223, 357, 1137, 47, 16725, 16034, 3084, 62, 22, 2548, 3695, 33411, 366, 14749, 357, 8291, 37974, 14413, 16725, 796, 705, 15017, 31063, 11, 350, 696, 16484, 12429, 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 ]
[ 464, 4067, 357, 7645, 37974, 2524, 8, 2986, 31063, 11, 350, 696, 16484, 12429, 468, 644, 4333, 50223, 357, 1137, 47, 19427, 46506, 366, 13434, 50223, 357, 1137, 47, 16725, 16034, 3084, 62, 22, 2548, 3695, 33411, 366, 14749, 357, 8291, 37974, 14413, 16725, 796, 705, 15017, 31063, 11, 350, 696, 16484, 12429, 6 ]
WHAT IS THE HOME TEAM WITH AN AWAY OF LEYTON ORIENT?
SELECT "Home team" FROM table_61316 WHERE "Away team" = 'leyton orient'
[ 32971, 3180, 3336, 41779, 33536, 13315, 3537, 14356, 4792, 3963, 12509, 56, 11357, 6375, 28495, 30, 46506, 366, 16060, 1074, 1, 16034, 3084, 62, 47512, 1433, 33411, 366, 32, 1014, 1074, 1, 796, 705, 1636, 1122, 11367, 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 ]
[ 32971, 3180, 3336, 41779, 33536, 13315, 3537, 14356, 4792, 3963, 12509, 56, 11357, 6375, 28495, 30, 46506, 366, 16060, 1074, 1, 16034, 3084, 62, 47512, 1433, 33411, 366, 32, 1014, 1074, 1, 796, 705, 1636, 1122, 11367, 6 ]
How many locations logged a score of 206 (-7)?
SELECT COUNT(location) FROM table_11622840_1 WHERE score = "206 (-7)"
[ 2437, 867, 7064, 18832, 257, 4776, 286, 27253, 13841, 22, 19427, 46506, 327, 28270, 7, 24886, 8, 16034, 3084, 62, 18298, 23815, 1821, 62, 16, 33411, 4776, 796, 366, 22136, 13841, 22, 16725 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 7064, 18832, 257, 4776, 286, 27253, 13841, 22, 19427, 46506, 327, 28270, 7, 24886, 8, 16034, 3084, 62, 18298, 23815, 1821, 62, 16, 33411, 4776, 796, 366, 22136, 13841, 22, 16725 ]
What is the score of the B.C. Open in New York?
SELECT "Score" FROM table_75101 WHERE "Location" = 'new york' AND "Tournament" = 'b.c. open'
[ 2061, 318, 262, 4776, 286, 262, 347, 13, 34, 13, 4946, 287, 968, 1971, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 2425, 8784, 33411, 366, 14749, 1, 796, 705, 3605, 331, 967, 6, 5357, 366, 51, 5138, 1, 796, 705, 65, 13, 66, 13, 1280, 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, 262, 4776, 286, 262, 347, 13, 34, 13, 4946, 287, 968, 1971, 30, 46506, 366, 26595, 1, 16034, 3084, 62, 2425, 8784, 33411, 366, 14749, 1, 796, 705, 3605, 331, 967, 6, 5357, 366, 51, 5138, 1, 796, 705, 65, 13, 66, 13, 1280, 6 ]
Find the oldest log id and its corresponding problem id.
SELECT problem_log_id, problem_id FROM problem_log ORDER BY log_entry_date LIMIT 1
[ 16742, 262, 13325, 2604, 4686, 290, 663, 11188, 1917, 4686, 13, 46506, 1917, 62, 6404, 62, 312, 11, 1917, 62, 312, 16034, 1917, 62, 6404, 38678, 11050, 2604, 62, 13000, 62, 4475, 27564, 2043, 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 ]
[ 16742, 262, 13325, 2604, 4686, 290, 663, 11188, 1917, 4686, 13, 46506, 1917, 62, 6404, 62, 312, 11, 1917, 62, 312, 16034, 1917, 62, 6404, 38678, 11050, 2604, 62, 13000, 62, 4475, 27564, 2043, 352 ]
For those records from the products and each product's manufacturer, give me the comparison about the average of code over the name , and group by attribute name, display in desc by the X please.
SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name DESC
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 1577, 502, 262, 7208, 546, 262, 2811, 286, 2438, 625, 262, 1438, 837, 290, 1448, 416, 11688, 1438, 11, 3359, 287, 1715, 416, 262, 1395, 3387, 13, 46506, 309, 17, 13, 5376, 11, 309, 16, 13, 10669, 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, 309, 17, 13, 5376, 38678, 11050, 309, 17, 13, 5376, 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 ]
[ 1890, 883, 4406, 422, 262, 3186, 290, 1123, 1720, 338, 11554, 11, 1577, 502, 262, 7208, 546, 262, 2811, 286, 2438, 625, 262, 1438, 837, 290, 1448, 416, 11688, 1438, 11, 3359, 287, 1715, 416, 262, 1395, 3387, 13, 46506, 309, 17, 13, 5376, 11, 309, 16, 13, 10669, 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, 309, 17, 13, 5376, 38678, 11050, 309, 17, 13, 5376, 22196, 34 ]
c _ peptide > 0.3 ng / ml basal or stimulated;
SELECT * FROM table_train_241 WHERE c_peptide_level > 0.3
[ 66, 4808, 34337, 485, 1875, 657, 13, 18, 23370, 1220, 25962, 41202, 393, 40216, 26, 46506, 1635, 16034, 3084, 62, 27432, 62, 28872, 33411, 269, 62, 431, 457, 485, 62, 5715, 1875, 657, 13, 18 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 66, 4808, 34337, 485, 1875, 657, 13, 18, 23370, 1220, 25962, 41202, 393, 40216, 26, 46506, 1635, 16034, 3084, 62, 27432, 62, 28872, 33411, 269, 62, 431, 457, 485, 62, 5715, 1875, 657, 13, 18 ]
How many measures had a yes vote of 216545?
SELECT COUNT("passed") FROM table_27931 WHERE "YES votes" = '216545'
[ 2437, 867, 5260, 550, 257, 3763, 3015, 286, 362, 20986, 2231, 30, 46506, 327, 28270, 7203, 6603, 276, 4943, 16034, 3084, 62, 26050, 3132, 33411, 366, 43335, 5690, 1, 796, 705, 20666, 45326, 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, 5260, 550, 257, 3763, 3015, 286, 362, 20986, 2231, 30, 46506, 327, 28270, 7203, 6603, 276, 4943, 16034, 3084, 62, 26050, 3132, 33411, 366, 43335, 5690, 1, 796, 705, 20666, 45326, 6 ]
Posts containing a very short body. Posts containing a body that is less than 8 chars long
SELECT Id AS "post_link", REPLACE(REPLACE(Body, '<p>', ' '), '</p>', '') AS "body", Score FROM Posts WHERE LENGTH(Body) < 64 AND PostTypeId = 1
[ 21496, 7268, 257, 845, 1790, 1767, 13, 12043, 7268, 257, 1767, 326, 318, 1342, 621, 807, 34534, 890, 46506, 5121, 7054, 366, 7353, 62, 8726, 1600, 45285, 11598, 7, 2200, 6489, 11598, 7, 25842, 11, 705, 27, 79, 29, 3256, 705, 705, 828, 705, 3556, 79, 29, 3256, 10148, 8, 7054, 366, 2618, 1600, 15178, 16034, 12043, 33411, 406, 49494, 7, 25842, 8, 1279, 5598, 5357, 2947, 6030, 7390, 796, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 21496, 7268, 257, 845, 1790, 1767, 13, 12043, 7268, 257, 1767, 326, 318, 1342, 621, 807, 34534, 890, 46506, 5121, 7054, 366, 7353, 62, 8726, 1600, 45285, 11598, 7, 2200, 6489, 11598, 7, 25842, 11, 705, 27, 79, 29, 3256, 705, 705, 828, 705, 3556, 79, 29, 3256, 10148, 8, 7054, 366, 2618, 1600, 15178, 16034, 12043, 33411, 406, 49494, 7, 25842, 8, 1279, 5598, 5357, 2947, 6030, 7390, 796, 352 ]
what is the average cost of a hospital bill that includes a drug called metoclopramide hcl since 2 years ago?
SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT medication.patientunitstayid FROM medication WHERE medication.drugname = 'metoclopramide hcl')) AND DATETIME(cost.chargetime) >= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY cost.patienthealthsystemstayid) AS t1
[ 10919, 318, 262, 2811, 1575, 286, 257, 4436, 2855, 326, 3407, 257, 2563, 1444, 1138, 38679, 404, 859, 485, 289, 565, 1201, 362, 812, 2084, 30, 46506, 35224, 7, 83, 16, 13, 66, 16, 8, 16034, 357, 46506, 35683, 7, 15805, 13, 15805, 8, 7054, 269, 16, 16034, 1575, 33411, 1575, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 14103, 13, 26029, 20850, 31712, 312, 16034, 14103, 33411, 14103, 13, 30349, 3672, 796, 705, 4164, 38679, 404, 859, 485, 289, 565, 6, 4008, 5357, 360, 1404, 2767, 12789, 7, 15805, 13, 354, 7641, 524, 8, 18189, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 17, 614, 11537, 44441, 11050, 1575, 13, 26029, 13948, 10057, 31712, 312, 8, 7054, 256, 16 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2811, 1575, 286, 257, 4436, 2855, 326, 3407, 257, 2563, 1444, 1138, 38679, 404, 859, 485, 289, 565, 1201, 362, 812, 2084, 30, 46506, 35224, 7, 83, 16, 13, 66, 16, 8, 16034, 357, 46506, 35683, 7, 15805, 13, 15805, 8, 7054, 269, 16, 16034, 1575, 33411, 1575, 13, 26029, 13948, 10057, 31712, 312, 3268, 357, 46506, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 5827, 33411, 5827, 13, 26029, 20850, 31712, 312, 3268, 357, 46506, 14103, 13, 26029, 20850, 31712, 312, 16034, 14103, 33411, 14103, 13, 30349, 3672, 796, 705, 4164, 38679, 404, 859, 485, 289, 565, 6, 4008, 5357, 360, 1404, 2767, 12789, 7, 15805, 13, 354, 7641, 524, 8, 18189, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 17, 614, 11537, 44441, 11050, 1575, 13, 26029, 13948, 10057, 31712, 312, 8, 7054, 256, 16 ]
Badge data for a user from date to now.. Get's the badges that a user has obtained from a point in time (inclusive) to now.
SELECT b.* FROM Badges AS b WHERE b.UserId = '##UserId##' AND b.Date >= '##AsOf##' ORDER BY b.Date
[ 22069, 469, 1366, 329, 257, 2836, 422, 3128, 284, 783, 492, 3497, 338, 262, 37583, 326, 257, 2836, 468, 6492, 422, 257, 966, 287, 640, 357, 259, 5731, 8, 284, 783, 13, 46506, 275, 15885, 16034, 7772, 3212, 7054, 275, 33411, 275, 13, 12982, 7390, 796, 705, 2235, 12982, 7390, 2235, 6, 5357, 275, 13, 10430, 18189, 705, 2235, 1722, 5189, 2235, 6, 38678, 11050, 275, 13, 10430 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 22069, 469, 1366, 329, 257, 2836, 422, 3128, 284, 783, 492, 3497, 338, 262, 37583, 326, 257, 2836, 468, 6492, 422, 257, 966, 287, 640, 357, 259, 5731, 8, 284, 783, 13, 46506, 275, 15885, 16034, 7772, 3212, 7054, 275, 33411, 275, 13, 12982, 7390, 796, 705, 2235, 12982, 7390, 2235, 6, 5357, 275, 13, 10430, 18189, 705, 2235, 1722, 5189, 2235, 6, 38678, 11050, 275, 13, 10430 ]
Plot the number of schools and total enrollment in each county with a scatter chart.
SELECT COUNT(*), SUM(Enrollment) FROM School GROUP BY County
[ 43328, 262, 1271, 286, 4266, 290, 2472, 20753, 287, 1123, 7968, 351, 257, 41058, 8262, 13, 46506, 327, 28270, 46491, 828, 35683, 7, 4834, 48108, 8, 16034, 3961, 44441, 11050, 3418 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 43328, 262, 1271, 286, 4266, 290, 2472, 20753, 287, 1123, 7968, 351, 257, 41058, 8262, 13, 46506, 327, 28270, 46491, 828, 35683, 7, 4834, 48108, 8, 16034, 3961, 44441, 11050, 3418 ]
what is the total amount of fentanyl base intake in patient 8098 on the last intensive care unit visit?
SELECT SUM(inputevents_cv.amount) FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8098) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'fentanyl base' AND d_items.linksto = 'inputevents_cv')
[ 10919, 318, 262, 2472, 2033, 286, 47804, 2779, 10337, 287, 5827, 807, 2931, 23, 319, 262, 938, 18590, 1337, 4326, 3187, 30, 46506, 35683, 7, 259, 79, 1133, 85, 658, 62, 33967, 13, 17287, 8, 16034, 287, 79, 1133, 85, 658, 62, 33967, 33411, 287, 79, 1133, 85, 658, 62, 33967, 13, 291, 436, 323, 62, 312, 3268, 357, 46506, 14158, 436, 592, 13, 291, 436, 323, 62, 312, 16034, 14158, 436, 592, 33411, 14158, 436, 592, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 807, 2931, 23, 8, 5357, 5626, 14158, 436, 592, 13, 448, 2435, 3180, 15697, 38678, 11050, 14158, 436, 592, 13, 600, 524, 22196, 34, 27564, 2043, 352, 8, 5357, 287, 79, 1133, 85, 658, 62, 33967, 13, 9186, 312, 3268, 357, 46506, 288, 62, 23814, 13, 9186, 312, 16034, 288, 62, 23814, 33411, 288, 62, 23814, 13, 18242, 796, 705, 69, 41455, 2779, 6, 5357, 288, 62, 23814, 13, 8726, 301, 78, 796, 705, 259, 79, 1133, 85, 658, 62, 33967, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2472, 2033, 286, 47804, 2779, 10337, 287, 5827, 807, 2931, 23, 319, 262, 938, 18590, 1337, 4326, 3187, 30, 46506, 35683, 7, 259, 79, 1133, 85, 658, 62, 33967, 13, 17287, 8, 16034, 287, 79, 1133, 85, 658, 62, 33967, 33411, 287, 79, 1133, 85, 658, 62, 33967, 13, 291, 436, 323, 62, 312, 3268, 357, 46506, 14158, 436, 592, 13, 291, 436, 323, 62, 312, 16034, 14158, 436, 592, 33411, 14158, 436, 592, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 807, 2931, 23, 8, 5357, 5626, 14158, 436, 592, 13, 448, 2435, 3180, 15697, 38678, 11050, 14158, 436, 592, 13, 600, 524, 22196, 34, 27564, 2043, 352, 8, 5357, 287, 79, 1133, 85, 658, 62, 33967, 13, 9186, 312, 3268, 357, 46506, 288, 62, 23814, 13, 9186, 312, 16034, 288, 62, 23814, 33411, 288, 62, 23814, 13, 18242, 796, 705, 69, 41455, 2779, 6, 5357, 288, 62, 23814, 13, 8726, 301, 78, 796, 705, 259, 79, 1133, 85, 658, 62, 33967, 11537 ]
until 2 years ago what were the three most commonly prescribed drugs for patients who had previously received cpap/peep therapy in the same hospital visit?
SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'cpap/peep therapy' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 3
[ 28446, 362, 812, 2084, 644, 547, 262, 1115, 749, 8811, 14798, 5010, 329, 3871, 508, 550, 4271, 2722, 31396, 499, 14, 431, 538, 9102, 287, 262, 976, 4436, 3187, 30, 46506, 256, 18, 13, 30349, 3672, 16034, 357, 46506, 256, 17, 13, 30349, 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, 11, 5827, 13, 26029, 13948, 10057, 31712, 312, 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, 13155, 499, 14, 431, 538, 9102, 6, 5357, 360, 1404, 2767, 12789, 7, 42487, 13, 42487, 2435, 8, 19841, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 17, 614, 6, 4008, 7054, 256, 16, 32357, 1268, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 14103, 13, 30349, 3672, 11, 14103, 13, 30349, 9688, 2435, 11, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 14103, 32357, 1268, 5827, 6177, 14103, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 33411, 360, 1404, 2767, 12789, 7, 1150, 3299, 13, 30349, 9688, 2435, 8, 19841, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 17, 614, 6, 4008, 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, 30349, 9688, 2435, 5357, 256, 16, 13, 26029, 13948, 10057, 31712, 312, 796, 256, 17, 13, 26029, 13948, 10057, 31712, 312, 44441, 11050, 256, 17, 13, 30349, 3672, 8, 7054, 256, 18, 33411, 256, 18, 13, 66, 16, 19841, 513 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 28446, 362, 812, 2084, 644, 547, 262, 1115, 749, 8811, 14798, 5010, 329, 3871, 508, 550, 4271, 2722, 31396, 499, 14, 431, 538, 9102, 287, 262, 976, 4436, 3187, 30, 46506, 256, 18, 13, 30349, 3672, 16034, 357, 46506, 256, 17, 13, 30349, 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, 11, 5827, 13, 26029, 13948, 10057, 31712, 312, 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, 13155, 499, 14, 431, 538, 9102, 6, 5357, 360, 1404, 2767, 12789, 7, 42487, 13, 42487, 2435, 8, 19841, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 17, 614, 6, 4008, 7054, 256, 16, 32357, 1268, 357, 46506, 5827, 13, 403, 1557, 538, 312, 11, 14103, 13, 30349, 3672, 11, 14103, 13, 30349, 9688, 2435, 11, 5827, 13, 26029, 13948, 10057, 31712, 312, 16034, 14103, 32357, 1268, 5827, 6177, 14103, 13, 26029, 20850, 31712, 312, 796, 5827, 13, 26029, 20850, 31712, 312, 33411, 360, 1404, 2767, 12789, 7, 1150, 3299, 13, 30349, 9688, 2435, 8, 19841, 360, 1404, 2767, 12789, 7, 34, 39237, 62, 34694, 22784, 705, 12, 17, 614, 6, 4008, 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, 30349, 9688, 2435, 5357, 256, 16, 13, 26029, 13948, 10057, 31712, 312, 796, 256, 17, 13, 26029, 13948, 10057, 31712, 312, 44441, 11050, 256, 17, 13, 30349, 3672, 8, 7054, 256, 18, 33411, 256, 18, 13, 66, 16, 19841, 513 ]
Who has the least wins when ranked above 3 with over 10 events?
SELECT MIN("Wins") FROM table_55111 WHERE "Rank" < '3' AND "Events" > '10'
[ 8241, 468, 262, 1551, 7864, 618, 10307, 2029, 513, 351, 625, 838, 2995, 30, 46506, 20625, 7203, 54, 1040, 4943, 16034, 3084, 62, 2816, 16243, 33411, 366, 27520, 1, 1279, 705, 18, 6, 5357, 366, 37103, 1, 1875, 705, 940, 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 ]
[ 8241, 468, 262, 1551, 7864, 618, 10307, 2029, 513, 351, 625, 838, 2995, 30, 46506, 20625, 7203, 54, 1040, 4943, 16034, 3084, 62, 2816, 16243, 33411, 366, 27520, 1, 1279, 705, 18, 6, 5357, 366, 37103, 1, 1875, 705, 940, 6 ]
SELECT DisplayName FROM Users WHERE DisplayName LIKE '%terror%'.
SELECT DisplayName FROM Users WHERE DisplayName LIKE '%cyber%'
[ 46506, 16531, 5376, 16034, 18987, 33411, 16531, 5376, 34178, 705, 4, 14007, 4, 4458, 46506, 16531, 5376, 16034, 18987, 33411, 16531, 5376, 34178, 705, 4, 948, 527, 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 ]
[ 46506, 16531, 5376, 16034, 18987, 33411, 16531, 5376, 34178, 705, 4, 14007, 4, 4458, 46506, 16531, 5376, 16034, 18987, 33411, 16531, 5376, 34178, 705, 4, 948, 527, 4, 6 ]
have k-phos 20mmol/500cc ever been given on the first intensive care unit visit to patient 17435?
SELECT COUNT(*) > 0 FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 17435) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'k-phos 20mmol/500cc' AND d_items.linksto = 'inputevents_cv')
[ 14150, 479, 12, 746, 418, 1160, 3020, 349, 14, 4059, 535, 1683, 587, 1813, 319, 262, 717, 18590, 1337, 4326, 3187, 284, 5827, 27621, 2327, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 287, 79, 1133, 85, 658, 62, 33967, 33411, 287, 79, 1133, 85, 658, 62, 33967, 13, 291, 436, 323, 62, 312, 3268, 357, 46506, 14158, 436, 592, 13, 291, 436, 323, 62, 312, 16034, 14158, 436, 592, 33411, 14158, 436, 592, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 27621, 2327, 8, 5357, 5626, 14158, 436, 592, 13, 448, 2435, 3180, 15697, 38678, 11050, 14158, 436, 592, 13, 600, 524, 27564, 2043, 352, 8, 5357, 287, 79, 1133, 85, 658, 62, 33967, 13, 9186, 312, 3268, 357, 46506, 288, 62, 23814, 13, 9186, 312, 16034, 288, 62, 23814, 33411, 288, 62, 23814, 13, 18242, 796, 705, 74, 12, 746, 418, 1160, 3020, 349, 14, 4059, 535, 6, 5357, 288, 62, 23814, 13, 8726, 301, 78, 796, 705, 259, 79, 1133, 85, 658, 62, 33967, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 479, 12, 746, 418, 1160, 3020, 349, 14, 4059, 535, 1683, 587, 1813, 319, 262, 717, 18590, 1337, 4326, 3187, 284, 5827, 27621, 2327, 30, 46506, 327, 28270, 7, 28104, 1875, 657, 16034, 287, 79, 1133, 85, 658, 62, 33967, 33411, 287, 79, 1133, 85, 658, 62, 33967, 13, 291, 436, 323, 62, 312, 3268, 357, 46506, 14158, 436, 592, 13, 291, 436, 323, 62, 312, 16034, 14158, 436, 592, 33411, 14158, 436, 592, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 27621, 2327, 8, 5357, 5626, 14158, 436, 592, 13, 448, 2435, 3180, 15697, 38678, 11050, 14158, 436, 592, 13, 600, 524, 27564, 2043, 352, 8, 5357, 287, 79, 1133, 85, 658, 62, 33967, 13, 9186, 312, 3268, 357, 46506, 288, 62, 23814, 13, 9186, 312, 16034, 288, 62, 23814, 33411, 288, 62, 23814, 13, 18242, 796, 705, 74, 12, 746, 418, 1160, 3020, 349, 14, 4059, 535, 6, 5357, 288, 62, 23814, 13, 8726, 301, 78, 796, 705, 259, 79, 1133, 85, 658, 62, 33967, 11537 ]
Show each location and the number of cinemas there by a bar chart, sort from low to high by the y-axis.
SELECT Location, COUNT(*) FROM cinema GROUP BY Location ORDER BY COUNT(*)
[ 15307, 1123, 4067, 290, 262, 1271, 286, 13483, 292, 612, 416, 257, 2318, 8262, 11, 3297, 422, 1877, 284, 1029, 416, 262, 331, 12, 22704, 13, 46506, 13397, 11, 327, 28270, 7, 28104, 16034, 22041, 44441, 11050, 13397, 38678, 11050, 327, 28270, 7, 28104 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1123, 4067, 290, 262, 1271, 286, 13483, 292, 612, 416, 257, 2318, 8262, 11, 3297, 422, 1877, 284, 1029, 416, 262, 331, 12, 22704, 13, 46506, 13397, 11, 327, 28270, 7, 28104, 16034, 22041, 44441, 11050, 13397, 38678, 11050, 327, 28270, 7, 28104 ]
Synonymized tags that have a tag wiki.
SELECT SourceTagName, src.Count, Posts.Body AS "source_tag_wiki_excerpt", TargetTagName, tgt.TagName, ApprovalDate FROM TagSynonyms INNER JOIN Tags AS src ON SourceTagName = src.TagName LEFT JOIN Tags AS tgt ON TargetTagName = tgt.TagName INNER JOIN Posts ON src.ExcerptPostId = Posts.Id ORDER BY SourceTagName
[ 29934, 5177, 1143, 15940, 326, 423, 257, 7621, 22719, 13, 46506, 8090, 24835, 5376, 11, 12351, 13, 12332, 11, 12043, 13, 25842, 7054, 366, 10459, 62, 12985, 62, 15466, 62, 1069, 17040, 1600, 12744, 24835, 5376, 11, 256, 13655, 13, 24835, 5376, 11, 20010, 2100, 10430, 16034, 17467, 29934, 43612, 3268, 21479, 32357, 1268, 44789, 7054, 12351, 6177, 8090, 24835, 5376, 796, 12351, 13, 24835, 5376, 12509, 9792, 32357, 1268, 44789, 7054, 256, 13655, 6177, 12744, 24835, 5376, 796, 256, 13655, 13, 24835, 5376, 3268, 21479, 32357, 1268, 12043, 6177, 12351, 13, 3109, 17040, 6307, 7390, 796, 12043, 13, 7390, 38678, 11050, 8090, 24835, 5376 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 29934, 5177, 1143, 15940, 326, 423, 257, 7621, 22719, 13, 46506, 8090, 24835, 5376, 11, 12351, 13, 12332, 11, 12043, 13, 25842, 7054, 366, 10459, 62, 12985, 62, 15466, 62, 1069, 17040, 1600, 12744, 24835, 5376, 11, 256, 13655, 13, 24835, 5376, 11, 20010, 2100, 10430, 16034, 17467, 29934, 43612, 3268, 21479, 32357, 1268, 44789, 7054, 12351, 6177, 8090, 24835, 5376, 796, 12351, 13, 24835, 5376, 12509, 9792, 32357, 1268, 44789, 7054, 256, 13655, 6177, 12744, 24835, 5376, 796, 256, 13655, 13, 24835, 5376, 3268, 21479, 32357, 1268, 12043, 6177, 12351, 13, 3109, 17040, 6307, 7390, 796, 12043, 13, 7390, 38678, 11050, 8090, 24835, 5376 ]
i want a one way ticket from DALLAS to BALTIMORE
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, fare, flight, flight_fare WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
[ 72, 765, 257, 530, 835, 7846, 422, 360, 7036, 1921, 284, 347, 31429, 3955, 1581, 33635, 16779, 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, 14505, 11, 5474, 11, 5474, 62, 9496, 33411, 357, 34, 9050, 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, 33, 31429, 3955, 6965, 6, 5357, 14505, 13, 744, 62, 39813, 62, 35827, 796, 705, 15285, 6, 5357, 5474, 62, 9496, 13, 9496, 62, 312, 796, 14505, 13, 9496, 62, 312, 5357, 5474, 13, 22560, 62, 312, 796, 5474, 62, 9496, 13, 22560, 62, 312, 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, 35, 7036, 1921, 6, 5357, 5474, 13, 6738, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 958, 634, 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 ]
[ 72, 765, 257, 530, 835, 7846, 422, 360, 7036, 1921, 284, 347, 31429, 3955, 1581, 33635, 16779, 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, 14505, 11, 5474, 11, 5474, 62, 9496, 33411, 357, 34, 9050, 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, 33, 31429, 3955, 6965, 6, 5357, 14505, 13, 744, 62, 39813, 62, 35827, 796, 705, 15285, 6, 5357, 5474, 62, 9496, 13, 9496, 62, 312, 796, 14505, 13, 9496, 62, 312, 5357, 5474, 13, 22560, 62, 312, 796, 5474, 62, 9496, 13, 22560, 62, 312, 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, 35, 7036, 1921, 6, 5357, 5474, 13, 6738, 62, 958, 634, 796, 31600, 15490, 62, 35009, 27389, 62, 15, 13, 958, 634, 62, 8189 ]
what is the number of patients whose diagnoses short title is ac/chr syst/dia hrt fail and lab test fluid is joint fluid?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Ac/chr syst/dia hrt fail" AND lab.fluid = "Joint Fluid"
[ 10919, 318, 262, 1271, 286, 3871, 3025, 40567, 1790, 3670, 318, 936, 14, 354, 81, 827, 301, 14, 67, 544, 289, 17034, 2038, 290, 2248, 1332, 11711, 318, 6466, 11711, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 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, 40567, 13, 19509, 62, 7839, 796, 366, 12832, 14, 354, 81, 827, 301, 14, 67, 544, 289, 17034, 2038, 1, 5357, 2248, 13, 35522, 312, 796, 366, 41, 1563, 1610, 27112, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1271, 286, 3871, 3025, 40567, 1790, 3670, 318, 936, 14, 354, 81, 827, 301, 14, 67, 544, 289, 17034, 2038, 290, 2248, 1332, 11711, 318, 6466, 11711, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 40567, 6177, 16728, 13, 18108, 76, 62, 312, 796, 40567, 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, 40567, 13, 19509, 62, 7839, 796, 366, 12832, 14, 354, 81, 827, 301, 14, 67, 544, 289, 17034, 2038, 1, 5357, 2248, 13, 35522, 312, 796, 366, 41, 1563, 1610, 27112, 1 ]
What was the average money when the score was 74-72-75-71=292?
SELECT AVG(money___) AS $__ FROM table_name_82 WHERE score = 74 - 72 - 75 - 71 = 292
[ 2061, 373, 262, 2811, 1637, 618, 262, 4776, 373, 8915, 12, 4761, 12, 2425, 12, 4869, 28, 32759, 30, 46506, 35224, 7, 26316, 17569, 8, 7054, 720, 834, 16034, 3084, 62, 3672, 62, 6469, 33411, 4776, 796, 8915, 532, 7724, 532, 5441, 532, 9166, 796, 41569 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2811, 1637, 618, 262, 4776, 373, 8915, 12, 4761, 12, 2425, 12, 4869, 28, 32759, 30, 46506, 35224, 7, 26316, 17569, 8, 7054, 720, 834, 16034, 3084, 62, 3672, 62, 6469, 33411, 4776, 796, 8915, 532, 7724, 532, 5441, 532, 9166, 796, 41569 ]
Which AAA class has Fort Bend Dulles as a Class AAAAA?
SELECT "Class AAA" FROM table_35665 WHERE "Class AAAAA" = 'fort bend dulles'
[ 13828, 25734, 1398, 468, 6401, 26874, 45401, 274, 355, 257, 5016, 317, 17922, 30, 46506, 366, 9487, 25734, 1, 16034, 3084, 62, 2327, 36879, 33411, 366, 9487, 317, 17922, 1, 796, 705, 3319, 19396, 19222, 274, 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 ]
[ 13828, 25734, 1398, 468, 6401, 26874, 45401, 274, 355, 257, 5016, 317, 17922, 30, 46506, 366, 9487, 25734, 1, 16034, 3084, 62, 2327, 36879, 33411, 366, 9487, 317, 17922, 1, 796, 705, 3319, 19396, 19222, 274, 6 ]
what is drug type and drug route of drug name avapro?
SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Avapro"
[ 10919, 318, 2563, 2099, 290, 2563, 6339, 286, 2563, 1438, 1196, 499, 305, 30, 46506, 34092, 13, 30349, 62, 4906, 11, 34092, 13, 38629, 16034, 34092, 33411, 34092, 13, 30349, 796, 366, 7355, 499, 305, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 2563, 2099, 290, 2563, 6339, 286, 2563, 1438, 1196, 499, 305, 30, 46506, 34092, 13, 30349, 62, 4906, 11, 34092, 13, 38629, 16034, 34092, 33411, 34092, 13, 30349, 796, 366, 7355, 499, 305, 1 ]
tell me the average roll for pirinoa school.
SELECT AVG(roll) FROM table_name_83 WHERE name = "pirinoa school"
[ 33331, 502, 262, 2811, 4836, 329, 12276, 40564, 1524, 13, 46506, 35224, 7, 2487, 8, 16034, 3084, 62, 3672, 62, 5999, 33411, 1438, 796, 366, 4063, 40564, 1524, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 33331, 502, 262, 2811, 4836, 329, 12276, 40564, 1524, 13, 46506, 35224, 7, 2487, 8, 16034, 3084, 62, 3672, 62, 5999, 33411, 1438, 796, 366, 4063, 40564, 1524, 1 ]
How many rounds did the match go for the Bellator 72 event?
SELECT SUM("Round") FROM table_36229 WHERE "Event" = 'bellator 72'
[ 2437, 867, 9196, 750, 262, 2872, 467, 329, 262, 7459, 1352, 7724, 1785, 30, 46506, 35683, 7203, 22685, 4943, 16034, 3084, 62, 2623, 23539, 33411, 366, 9237, 1, 796, 705, 7923, 1352, 7724, 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, 9196, 750, 262, 2872, 467, 329, 262, 7459, 1352, 7724, 1785, 30, 46506, 35683, 7203, 22685, 4943, 16034, 3084, 62, 2623, 23539, 33411, 366, 9237, 1, 796, 705, 7923, 1352, 7724, 6 ]
What is the sum of againsts the team with less than 38 played had?
SELECT SUM(against) FROM table_name_86 WHERE played < 38
[ 2061, 318, 262, 2160, 286, 1028, 82, 262, 1074, 351, 1342, 621, 4353, 2826, 550, 30, 46506, 35683, 7, 32826, 8, 16034, 3084, 62, 3672, 62, 4521, 33411, 2826, 1279, 4353 ]
[ 1, 1, 1, 1, 1, 1, 1, 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, 2160, 286, 1028, 82, 262, 1074, 351, 1342, 621, 4353, 2826, 550, 30, 46506, 35683, 7, 32826, 8, 16034, 3084, 62, 3672, 62, 4521, 33411, 2826, 1279, 4353 ]
What is Best, when Name is Jimmy Vasser?
SELECT best FROM table_name_17 WHERE name = "jimmy vasser"
[ 2061, 318, 6705, 11, 618, 6530, 318, 12963, 569, 24929, 30, 46506, 1266, 16034, 3084, 62, 3672, 62, 1558, 33411, 1438, 796, 366, 73, 320, 1820, 410, 24929, 1 ]
[ 1, 1, 1, 1, 1, 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, 6705, 11, 618, 6530, 318, 12963, 569, 24929, 30, 46506, 1266, 16034, 3084, 62, 3672, 62, 1558, 33411, 1438, 796, 366, 73, 320, 1820, 410, 24929, 1 ]
What is the time of the driver on grid 7?
SELECT "Time/Retired" FROM table_57670 WHERE "Grid" = '7'
[ 2061, 318, 262, 640, 286, 262, 4639, 319, 10706, 767, 30, 46506, 366, 7575, 14, 9781, 1202, 1, 16034, 3084, 62, 37452, 2154, 33411, 366, 41339, 1, 796, 705, 22, 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, 640, 286, 262, 4639, 319, 10706, 767, 30, 46506, 366, 7575, 14, 9781, 1202, 1, 16034, 3084, 62, 37452, 2154, 33411, 366, 41339, 1, 796, 705, 22, 6 ]
How many reg GP for mattias ohlund?
SELECT COUNT(reg_gp) FROM table_name_35 WHERE player = "mattias ohlund"
[ 2437, 867, 842, 14714, 329, 23963, 4448, 11752, 37525, 30, 46506, 327, 28270, 7, 2301, 62, 31197, 8, 16034, 3084, 62, 3672, 62, 2327, 33411, 2137, 796, 366, 76, 1078, 4448, 11752, 37525, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 842, 14714, 329, 23963, 4448, 11752, 37525, 30, 46506, 327, 28270, 7, 2301, 62, 31197, 8, 16034, 3084, 62, 3672, 62, 2327, 33411, 2137, 796, 366, 76, 1078, 4448, 11752, 37525, 1 ]
how many division did not qualify for u.s. open cup in 2003
SELECT "Division" FROM table_72097 WHERE "U.S. Open Cup" = 'Did Not Qualify' AND "Year" = '2003'
[ 4919, 867, 7297, 750, 407, 12780, 329, 334, 13, 82, 13, 1280, 6508, 287, 5816, 46506, 366, 24095, 1166, 1, 16034, 3084, 62, 23906, 5607, 33411, 366, 52, 13, 50, 13, 4946, 5454, 1, 796, 705, 11633, 1892, 9537, 1958, 6, 5357, 366, 17688, 1, 796, 705, 16088, 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 ]
[ 4919, 867, 7297, 750, 407, 12780, 329, 334, 13, 82, 13, 1280, 6508, 287, 5816, 46506, 366, 24095, 1166, 1, 16034, 3084, 62, 23906, 5607, 33411, 366, 52, 13, 50, 13, 4946, 5454, 1, 796, 705, 11633, 1892, 9537, 1958, 6, 5357, 366, 17688, 1, 796, 705, 16088, 6 ]
Where is Terry Mills from?
SELECT "Hometown" FROM table_56866 WHERE "Player" = 'terry mills'
[ 8496, 318, 14286, 19790, 422, 30, 46506, 366, 39, 19191, 1, 16034, 3084, 62, 49211, 2791, 33411, 366, 14140, 1, 796, 705, 353, 563, 41999, 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 ]
[ 8496, 318, 14286, 19790, 422, 30, 46506, 366, 39, 19191, 1, 16034, 3084, 62, 49211, 2791, 33411, 366, 14140, 1, 796, 705, 353, 563, 41999, 6 ]
how many cities have densities at least above 400 ?
SELECT COUNT("rank") FROM table_203_413 WHERE "density\n(inhabitants/km2)" > 400
[ 4919, 867, 4736, 423, 29509, 871, 379, 1551, 2029, 7337, 5633, 46506, 327, 28270, 7203, 43027, 4943, 16034, 3084, 62, 22416, 62, 44103, 33411, 366, 43337, 59, 77, 7, 259, 5976, 270, 1187, 14, 13276, 17, 16725, 1875, 7337 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 4736, 423, 29509, 871, 379, 1551, 2029, 7337, 5633, 46506, 327, 28270, 7203, 43027, 4943, 16034, 3084, 62, 22416, 62, 44103, 33411, 366, 43337, 59, 77, 7, 259, 5976, 270, 1187, 14, 13276, 17, 16725, 1875, 7337 ]
What is the highest crowd for Home team of geelong?
SELECT MAX("Crowd") FROM table_54889 WHERE "Home team" = 'geelong'
[ 2061, 318, 262, 4511, 4315, 329, 5995, 1074, 286, 4903, 21537, 30, 46506, 25882, 7203, 34, 3986, 4943, 16034, 3084, 62, 49934, 4531, 33411, 366, 16060, 1074, 1, 796, 705, 469, 21537, 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, 4511, 4315, 329, 5995, 1074, 286, 4903, 21537, 30, 46506, 25882, 7203, 34, 3986, 4943, 16034, 3084, 62, 49934, 4531, 33411, 366, 16060, 1074, 1, 796, 705, 469, 21537, 6 ]
How many in attendance with a loss of volquez (1 4)?
SELECT attendance FROM table_name_57 WHERE loss = "volquez (1–4)"
[ 2437, 867, 287, 14858, 351, 257, 2994, 286, 2322, 22281, 357, 16, 604, 19427, 46506, 14858, 16034, 3084, 62, 3672, 62, 3553, 33411, 2994, 796, 366, 10396, 22281, 357, 16, 1906, 19, 16725 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 287, 14858, 351, 257, 2994, 286, 2322, 22281, 357, 16, 604, 19427, 46506, 14858, 16034, 3084, 62, 3672, 62, 3553, 33411, 2994, 796, 366, 10396, 22281, 357, 16, 1906, 19, 16725 ]
Who was the radio commentator when the final television commentator was John Dunn?
SELECT "Radio commentator" FROM table_21903 WHERE "Final television commentator" = 'John Dunn'
[ 8241, 373, 262, 5243, 28823, 618, 262, 2457, 5581, 28823, 373, 1757, 30833, 30, 46506, 366, 26093, 28823, 1, 16034, 3084, 62, 28896, 3070, 33411, 366, 19006, 5581, 28823, 1, 796, 705, 7554, 30833, 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 ]
[ 8241, 373, 262, 5243, 28823, 618, 262, 2457, 5581, 28823, 373, 1757, 30833, 30, 46506, 366, 26093, 28823, 1, 16034, 3084, 62, 28896, 3070, 33411, 366, 19006, 5581, 28823, 1, 796, 705, 7554, 30833, 6 ]
What are the type and nationality of ships?
SELECT TYPE, Nationality FROM ship
[ 2061, 389, 262, 2099, 290, 29835, 286, 7937, 30, 46506, 41876, 11, 2351, 414, 16034, 4074 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 2061, 389, 262, 2099, 290, 29835, 286, 7937, 30, 46506, 41876, 11, 2351, 414, 16034, 4074 ]
how did patient 11426 get admitted to the hospital for the first time until 2101?
SELECT admissions.admission_type FROM admissions WHERE admissions.subject_id = 11426 AND STRFTIME('%y', admissions.admittime) <= '2101' ORDER BY admissions.admittime LIMIT 1
[ 4919, 750, 5827, 17342, 2075, 651, 6848, 284, 262, 4436, 329, 262, 717, 640, 1566, 2310, 486, 30, 46506, 25349, 13, 324, 3411, 62, 4906, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 17342, 2075, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 25349, 13, 324, 20124, 524, 8, 19841, 705, 2481, 486, 6, 38678, 11050, 25349, 13, 324, 20124, 524, 27564, 2043, 352 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 4919, 750, 5827, 17342, 2075, 651, 6848, 284, 262, 4436, 329, 262, 717, 640, 1566, 2310, 486, 30, 46506, 25349, 13, 324, 3411, 62, 4906, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 17342, 2075, 5357, 19269, 9792, 12789, 10786, 4, 88, 3256, 25349, 13, 324, 20124, 524, 8, 19841, 705, 2481, 486, 6, 38678, 11050, 25349, 13, 324, 20124, 524, 27564, 2043, 352 ]
Which game number was played against Georgia?
SELECT MIN("Game") FROM table_24009 WHERE "Opponent" = 'Georgia'
[ 13828, 983, 1271, 373, 2826, 1028, 7859, 30, 46506, 20625, 7203, 8777, 4943, 16034, 3084, 62, 1731, 28694, 33411, 366, 27524, 3471, 1, 796, 705, 41072, 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, 983, 1271, 373, 2826, 1028, 7859, 30, 46506, 20625, 7203, 8777, 4943, 16034, 3084, 62, 1731, 28694, 33411, 366, 27524, 3471, 1, 796, 705, 41072, 6 ]
Who won at the Barbagallo Raceway circuit?
SELECT winner FROM table_name_49 WHERE circuit = "barbagallo raceway"
[ 8241, 1839, 379, 262, 10593, 44906, 78, 24746, 16172, 10349, 30, 46506, 8464, 16034, 3084, 62, 3672, 62, 2920, 33411, 10349, 796, 366, 5657, 21454, 49457, 3444, 16172, 1 ]
[ 1, 1, 1, 1, 1, 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, 1839, 379, 262, 10593, 44906, 78, 24746, 16172, 10349, 30, 46506, 8464, 16034, 3084, 62, 3672, 62, 2920, 33411, 10349, 796, 366, 5657, 21454, 49457, 3444, 16172, 1 ]
Active users with a reputation cutoff.
SELECT Users.Id AS "user_link", Users.Reputation, COUNT(*) AS postnumber FROM Users JOIN Posts ON Users.Id = Posts.OwnerUserId WHERE DATEDIFF(MONTH, Posts.CreationDate, GETDATE()) <= '##AgeCutoffInMonths##' AND Users.Reputation >= '##ReputationCutoff##' GROUP BY Users.Id, Users.Reputation ORDER BY Users.Reputation DESC
[ 13739, 2985, 351, 257, 8507, 45616, 13, 46506, 18987, 13, 7390, 7054, 366, 7220, 62, 8726, 1600, 18987, 13, 6207, 7094, 11, 327, 28270, 7, 28104, 7054, 1281, 17618, 16034, 18987, 32357, 1268, 12043, 6177, 18987, 13, 7390, 796, 12043, 13, 42419, 12982, 7390, 33411, 360, 11617, 29267, 7, 27857, 4221, 11, 12043, 13, 12443, 341, 10430, 11, 17151, 35, 6158, 28955, 19841, 705, 2235, 23396, 26254, 2364, 818, 9069, 9998, 2235, 6, 5357, 18987, 13, 6207, 7094, 18189, 705, 2235, 6207, 7094, 26254, 2364, 2235, 6, 44441, 11050, 18987, 13, 7390, 11, 18987, 13, 6207, 7094, 38678, 11050, 18987, 13, 6207, 7094, 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 ]
[ 13739, 2985, 351, 257, 8507, 45616, 13, 46506, 18987, 13, 7390, 7054, 366, 7220, 62, 8726, 1600, 18987, 13, 6207, 7094, 11, 327, 28270, 7, 28104, 7054, 1281, 17618, 16034, 18987, 32357, 1268, 12043, 6177, 18987, 13, 7390, 796, 12043, 13, 42419, 12982, 7390, 33411, 360, 11617, 29267, 7, 27857, 4221, 11, 12043, 13, 12443, 341, 10430, 11, 17151, 35, 6158, 28955, 19841, 705, 2235, 23396, 26254, 2364, 818, 9069, 9998, 2235, 6, 5357, 18987, 13, 6207, 7094, 18189, 705, 2235, 6207, 7094, 26254, 2364, 2235, 6, 44441, 11050, 18987, 13, 7390, 11, 18987, 13, 6207, 7094, 38678, 11050, 18987, 13, 6207, 7094, 22196, 34 ]
Which drivers have the position of 27?
SELECT drivers FROM table_name_33 WHERE position = 27
[ 13828, 6643, 423, 262, 2292, 286, 2681, 30, 46506, 6643, 16034, 3084, 62, 3672, 62, 2091, 33411, 2292, 796, 2681 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 13828, 6643, 423, 262, 2292, 286, 2681, 30, 46506, 6643, 16034, 3084, 62, 3672, 62, 2091, 33411, 2292, 796, 2681 ]
What is the latest week with the date of november 5, 1995?
SELECT MAX("Week") FROM table_32831 WHERE "Date" = 'november 5, 1995'
[ 2061, 318, 262, 3452, 1285, 351, 262, 3128, 286, 645, 303, 1916, 642, 11, 8735, 30, 46506, 25882, 7203, 20916, 4943, 16034, 3084, 62, 34256, 3132, 33411, 366, 10430, 1, 796, 705, 77, 3239, 642, 11, 8735, 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 ]
[ 2061, 318, 262, 3452, 1285, 351, 262, 3128, 286, 645, 303, 1916, 642, 11, 8735, 30, 46506, 25882, 7203, 20916, 4943, 16034, 3084, 62, 34256, 3132, 33411, 366, 10430, 1, 796, 705, 77, 3239, 642, 11, 8735, 6 ]
how many stations are at least 128 kbit/s ?
SELECT COUNT("service") FROM table_203_603 WHERE "bit rate" >= 128
[ 4919, 867, 8985, 389, 379, 1551, 13108, 479, 2545, 14, 82, 5633, 46506, 327, 28270, 7203, 15271, 4943, 16034, 3084, 62, 22416, 62, 35642, 33411, 366, 2545, 2494, 1, 18189, 13108 ]
[ 1, 1, 1, 1, 1, 1, 1, 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, 8985, 389, 379, 1551, 13108, 479, 2545, 14, 82, 5633, 46506, 327, 28270, 7203, 15271, 4943, 16034, 3084, 62, 22416, 62, 35642, 33411, 366, 2545, 2494, 1, 18189, 13108 ]
What are the names of the mills which are not located in 'Donceel'?
SELECT name FROM mill WHERE location <> 'Donceel'
[ 2061, 389, 262, 3891, 286, 262, 41999, 543, 389, 407, 5140, 287, 705, 3987, 344, 417, 30960, 46506, 1438, 16034, 3939, 33411, 4067, 1279, 29, 705, 3987, 344, 417, 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, 389, 262, 3891, 286, 262, 41999, 543, 389, 407, 5140, 287, 705, 3987, 344, 417, 30960, 46506, 1438, 16034, 3939, 33411, 4067, 1279, 29, 705, 3987, 344, 417, 6 ]
what was the diagnosis of patient 98015 for the first time in this year?
SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT diagnoses_icd.icd9_code FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 98015) AND DATETIME(diagnoses_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') ORDER BY diagnoses_icd.charttime LIMIT 1)
[ 10919, 373, 262, 13669, 286, 5827, 9661, 25150, 329, 262, 717, 640, 287, 428, 614, 30, 46506, 288, 62, 291, 67, 62, 47356, 4629, 13, 19509, 62, 7839, 16034, 288, 62, 291, 67, 62, 47356, 4629, 33411, 288, 62, 291, 67, 62, 47356, 4629, 13, 291, 67, 24, 62, 8189, 3268, 357, 46506, 40567, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 16034, 40567, 62, 291, 67, 33411, 40567, 62, 291, 67, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 9661, 25150, 8, 5357, 360, 1404, 2767, 12789, 7, 47356, 4629, 62, 291, 67, 13, 40926, 2435, 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, 38678, 11050, 40567, 62, 291, 67, 13, 40926, 2435, 27564, 2043, 352, 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 ]
[ 10919, 373, 262, 13669, 286, 5827, 9661, 25150, 329, 262, 717, 640, 287, 428, 614, 30, 46506, 288, 62, 291, 67, 62, 47356, 4629, 13, 19509, 62, 7839, 16034, 288, 62, 291, 67, 62, 47356, 4629, 33411, 288, 62, 291, 67, 62, 47356, 4629, 13, 291, 67, 24, 62, 8189, 3268, 357, 46506, 40567, 62, 291, 67, 13, 291, 67, 24, 62, 8189, 16034, 40567, 62, 291, 67, 33411, 40567, 62, 291, 67, 13, 18108, 76, 62, 312, 3268, 357, 46506, 25349, 13, 18108, 76, 62, 312, 16034, 25349, 33411, 25349, 13, 32796, 62, 312, 796, 9661, 25150, 8, 5357, 360, 1404, 2767, 12789, 7, 47356, 4629, 62, 291, 67, 13, 40926, 2435, 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, 38678, 11050, 40567, 62, 291, 67, 13, 40926, 2435, 27564, 2043, 352, 8 ]
Name the most of 2500-3000ft
SELECT MAX("2500\u20133000ft") FROM table_19390
[ 5376, 262, 749, 286, 33507, 12, 23924, 701, 46506, 25882, 7203, 44688, 59, 84, 1264, 2091, 830, 701, 4943, 16034, 3084, 62, 1129, 25964 ]
[ 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, 749, 286, 33507, 12, 23924, 701, 46506, 25882, 7203, 44688, 59, 84, 1264, 2091, 830, 701, 4943, 16034, 3084, 62, 1129, 25964 ]
When 54.86% of people votes yes, howe many votes were invalid?
SELECT "Invalid votes" FROM table_29388 WHERE "Yes (%)" = '54.86'
[ 2215, 7175, 13, 4521, 4, 286, 661, 5690, 3763, 11, 703, 68, 867, 5690, 547, 12515, 30, 46506, 366, 44651, 5690, 1, 16034, 3084, 62, 1959, 30460, 33411, 366, 5297, 11509, 1, 796, 705, 4051, 13, 4521, 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 ]
[ 2215, 7175, 13, 4521, 4, 286, 661, 5690, 3763, 11, 703, 68, 867, 5690, 547, 12515, 30, 46506, 366, 44651, 5690, 1, 16034, 3084, 62, 1959, 30460, 33411, 366, 5297, 11509, 1, 796, 705, 4051, 13, 4521, 6 ]
how long is the aspect ?
SELECT "length" FROM table_203_42 WHERE "model" = 'aspect'
[ 4919, 890, 318, 262, 4843, 5633, 46506, 366, 13664, 1, 16034, 3084, 62, 22416, 62, 3682, 33411, 366, 19849, 1, 796, 705, 292, 806, 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 ]
[ 4919, 890, 318, 262, 4843, 5633, 46506, 366, 13664, 1, 16034, 3084, 62, 22416, 62, 3682, 33411, 366, 19849, 1, 796, 705, 292, 806, 6 ]
Who is the director of the film in Italian?
SELECT director FROM table_name_92 WHERE language = "italian"
[ 8241, 318, 262, 3437, 286, 262, 2646, 287, 8200, 30, 46506, 3437, 16034, 3084, 62, 3672, 62, 5892, 33411, 3303, 796, 366, 1287, 666, 1 ]
[ 1, 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, 3437, 286, 262, 2646, 287, 8200, 30, 46506, 3437, 16034, 3084, 62, 3672, 62, 5892, 33411, 3303, 796, 366, 1287, 666, 1 ]
what is the total amount of players for the rockets in 1998 only?
SELECT COUNT("Player") FROM table_337 WHERE "Years for Rockets" = '1998'
[ 10919, 318, 262, 2472, 2033, 286, 1938, 329, 262, 20293, 287, 7795, 691, 30, 46506, 327, 28270, 7203, 14140, 4943, 16034, 3084, 62, 31496, 33411, 366, 40630, 329, 23328, 1, 796, 705, 21113, 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 ]
[ 10919, 318, 262, 2472, 2033, 286, 1938, 329, 262, 20293, 287, 7795, 691, 30, 46506, 327, 28270, 7203, 14140, 4943, 16034, 3084, 62, 31496, 33411, 366, 40630, 329, 23328, 1, 796, 705, 21113, 6 ]
Private/Catholic school's minimum enrollment is?
SELECT MIN(enrollment) FROM table_16403890_1 WHERE affiliation = "Private/Catholic"
[ 29067, 14, 48919, 1524, 338, 5288, 20753, 318, 30, 46506, 20625, 7, 268, 48108, 8, 16034, 3084, 62, 1433, 1821, 2548, 3829, 62, 16, 33411, 26218, 796, 366, 29067, 14, 48919, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 29067, 14, 48919, 1524, 338, 5288, 20753, 318, 30, 46506, 20625, 7, 268, 48108, 8, 16034, 3084, 62, 1433, 1821, 2548, 3829, 62, 16, 33411, 26218, 796, 366, 29067, 14, 48919, 1 ]
how many patients were born before the year 2138 with 17 as the procedure icd9 code?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2138" AND procedures.icd9_code = "17"
[ 4919, 867, 3871, 547, 4642, 878, 262, 614, 362, 20107, 351, 1596, 355, 262, 8771, 14158, 67, 24, 2438, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 67, 672, 62, 1941, 1279, 366, 17, 20107, 1, 5357, 9021, 13, 291, 67, 24, 62, 8189, 796, 366, 1558, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 547, 4642, 878, 262, 614, 362, 20107, 351, 1596, 355, 262, 8771, 14158, 67, 24, 2438, 30, 46506, 327, 28270, 7, 35, 8808, 1268, 4177, 16728, 13, 32796, 62, 312, 8, 16034, 16728, 3268, 21479, 32357, 1268, 9021, 6177, 16728, 13, 18108, 76, 62, 312, 796, 9021, 13, 18108, 76, 62, 312, 33411, 16728, 13, 67, 672, 62, 1941, 1279, 366, 17, 20107, 1, 5357, 9021, 13, 291, 67, 24, 62, 8189, 796, 366, 1558, 1 ]
What's the name of the episode seen by 9.63 millions of people in the US, whose director is Laura Innes?
SELECT title FROM table_23799653_1 WHERE directed_by = "Laura Innes" AND us_viewers__millions_ = "9.63"
[ 2061, 338, 262, 1438, 286, 262, 4471, 1775, 416, 860, 13, 5066, 5242, 286, 661, 287, 262, 1294, 11, 3025, 3437, 318, 16753, 554, 2516, 30, 46506, 3670, 16034, 3084, 62, 24693, 2079, 46435, 62, 16, 33411, 7924, 62, 1525, 796, 366, 43687, 554, 2516, 1, 5357, 514, 62, 1177, 364, 834, 17805, 507, 62, 796, 366, 24, 13, 5066, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1438, 286, 262, 4471, 1775, 416, 860, 13, 5066, 5242, 286, 661, 287, 262, 1294, 11, 3025, 3437, 318, 16753, 554, 2516, 30, 46506, 3670, 16034, 3084, 62, 24693, 2079, 46435, 62, 16, 33411, 7924, 62, 1525, 796, 366, 43687, 554, 2516, 1, 5357, 514, 62, 1177, 364, 834, 17805, 507, 62, 796, 366, 24, 13, 5066, 1 ]
tell me the writer of production code ad1d09.
SELECT written_by FROM table_name_33 WHERE production_code = "ad1d09"
[ 33331, 502, 262, 6260, 286, 3227, 2438, 512, 16, 67, 2931, 13, 46506, 3194, 62, 1525, 16034, 3084, 62, 3672, 62, 2091, 33411, 3227, 62, 8189, 796, 366, 324, 16, 67, 2931, 1 ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 33331, 502, 262, 6260, 286, 3227, 2438, 512, 16, 67, 2931, 13, 46506, 3194, 62, 1525, 16034, 3084, 62, 3672, 62, 2091, 33411, 3227, 62, 8189, 796, 366, 324, 16, 67, 2931, 1 ]