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-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What's the number of male Hispanic students who graduated from Central Alabama Community College in 2011 within 100 percent of normal/expected time?
| SELECT SUM(T2.grad_100) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T1.unitid = T2.unitid WHERE T1.chronname = 'Central Alabama Community College' AND T2.year = 2011 AND T2.gender = 'M' AND T2.race = 'H'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- How many students graduated from Central Alabama Community College in 2011 in total?
| SELECT T2.grad_cohort FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T1.unitid = T2.unitid WHERE T1.chronname = 'Central Alabama Community College' AND T2.year = 2011; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Which cohort had the higher percentage of students who graduated from Central Alabama Community College in 2011 within 150 percent of normal/expected time, female White students or male White students?
| SELECT IIF(SUM(CASE WHEN T2.gender = 'F' THEN T2.grad_150 ELSE 0 END) > SUM(CASE WHEN T2.gender = 'M' THEN T2.grad_150 ELSE 0 END), 'female White students', 'male White students') FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Central Alabama Community College' AND T2.year = 2011 AND T2.race = 'W'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Which institute has the highest percentage of male White students graduating in 2011 within 150 percent of normal/expected time?
| SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.gender = 'M' AND T2.race = 'W' AND T2.grad_150 = ( SELECT MAX(T2.grad_150) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.gender = 'M' AND T2.race = 'W' ); |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Please list the names of the institutes with the percentage of male White students graduating in 2011 within 150 percent of normal/expected time over 20.
| SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.grad_150 > 20 THEN T1.chronname ELSE NULL END AS T FROM institution_details T1 INNER JOIN institution_grads T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.gender = 'M' AND T2.race = 'W' ) WHERE T IS NOT NULL; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- How many students for both genders graduated from a 2-year institute in Alabama in 2011?
| SELECT SUM(T2.grad_cohort) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.cohort = '2y all' AND T2.year = 2011 AND T1.state = 'Alabama'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- How many more students in total graduated from Central Alabama Community College in 2012 than in 2011?
| SELECT SUM(CASE WHEN T2.year = 2012 THEN T2.grad_cohort ELSE 0 END) - SUM(CASE WHEN T2.year = 2011 THEN T2.grad_cohort ELSE 0 END) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Central Alabama Community College'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Among the institutes in the state of Alabama whose percent rank for median SAT value within sector is 77, how many of them have over 500 graduates in total in 2011?
| SELECT COUNT(DISTINCT T1.chronname) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.state = 'Alabama' AND T1.med_sat_percentile = '100' AND T2.year = 2011 AND T2.grad_cohort > 500; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Among the public institutes in the state of Alabama, how many of them have over 30 students who graduated within 100 percent of normal/expected time in 2011?
| SELECT COUNT(T1.chronname) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.state = 'Alabama' AND T1.control = 'Public' AND T2.year = 2011 AND T2.grad_100 > 30; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Please list the names of the institutes in the state of Alabama whose all graduates in total exceeded 500 in 2011?
| SELECT DISTINCT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.state = 'Alabama' AND T2.year = 2011 AND T2.race = 'X' AND T2.grad_cohort > 500; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What's the average number of graduates for Central Alabama Community College in the 3 consecutive years from 2011 to 2013?
| SELECT AVG(T2.grad_cohort) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Central Alabama Community College' AND T2.year IN (2011, 2012, 2013) AND T2.gender = 'B' AND T2.race = 'X'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What is the average percentage of students graduating within 100 percent of normal/expected time for Central Alabama Community College?
| SELECT AVG(T2.grad_100_rate) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Central Alabama Community College'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Give the web site address for "Swarthmore College".
| SELECT T FROM ( SELECT DISTINCT CASE WHEN chronname = 'Swarthmore College' THEN site ELSE NULL END AS T FROM institution_details ) WHERE T IS NOT NULL; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Which state is "Mercer University" located in?
| SELECT T FROM ( SELECT DISTINCT CASE WHEN chronname = 'Mercer University' THEN state ELSE NULL END AS T FROM institution_details ) WHERE T IS NOT NULL; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Which city is "Rensselaer Polytechnic Institute" located in?
| SELECT T FROM ( SELECT DISTINCT CASE WHEN chronname = 'Rensselaer Polytechnic Institute' THEN city ELSE NULL END AS T FROM institution_details ) WHERE T IS NOT NULL; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Tell the abbreviation for "Delaware" state.
| SELECT T FROM ( SELECT DISTINCT CASE WHEN state = 'Delaware' THEN state_abbr ELSE NULL END AS T FROM state_sector_grads ) WHERE T IS NOT NULL; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- How many 2-year public schools are there in "California"?
| SELECT COUNT(stateid) FROM state_sector_details WHERE state = 'California' AND level = '2-year' AND control = 'Public'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Give the post name of "Idaho" state.
| SELECT T FROM ( SELECT DISTINCT CASE WHEN state = 'Idaho' THEN state_post ELSE NULL END AS T FROM state_sector_details ) WHERE T IS NOT NULL; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Tell the name of school in "NJ" that could get the bachelor's degree with highest students number.
| SELECT DISTINCT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'NJ' AND T1.level = '4-year' AND T1.student_count = ( SELECT MAX(T1.student_count) FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'NJ' AND T1.level = '4-year' ); |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Give the web site address for the school in "PA" state with the highest latitude.
| SELECT DISTINCT T1.site FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'PA' AND T1.lat_y = ( SELECT MAX(T1.lat_y) FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'PA' ); |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Tell the number of 4-year public schools in UT whose graduation rate exceeds the average for the state.
| SELECT COUNT(DISTINCT T1.chronname) FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'UT' AND T1.level = '4-year' AND T1.control = 'Public' AND T1.awards_per_value > T1.awards_per_state_value; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- How many 2-year private nonprofit schools in "CT" whose graduation rate falls below the average for the state?
| SELECT COUNT(DISTINCT T1.chronname) FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'CT' AND T2.level = '2-year' AND T1.control = 'Private not-for-profit' AND T1.awards_per_value < T1.awards_per_natl_value; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Give the name of the 4-year public school in "ID" with the lowest graduation 100 value.
| SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'ID' AND T1.level = '4-year' AND T1.control = 'Public' GROUP BY T1.chronname ORDER BY SUM(T1.grad_100_value) ASC LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Which 4-year private for-profit school in "KY" has the highest graudation 150 value? Give the ID for the school.
| SELECT T1.chronname, T1.unitid FROM institution_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.state = T1.state WHERE T2.state_abbr = 'KY' AND T1.level = '4-year' AND T1.control = 'Private for-profit' GROUP BY T1.chronname ORDER BY SUM(T1.grad_150_value) DESC LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What was the number of female Hispanic students who graduated within 100 percent of expected time for "Pennsylvania State University-Altoona"?
| SELECT SUM(T2.grad_100) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Pennsylvania State University-Altoona' AND T2.gender = 'F' AND T2.race = 'H'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Give the cohort name for the school with biggest cohort size.
| SELECT DISTINCT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.cohort_size = ( SELECT MAX(T1.cohort_size) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid ); |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Tell the number of 4-year private not-for-profit schools in the home state of "Brevard Community College".
| SELECT COUNT(T1.chronname) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T2.level = '4-year' AND T2.control = 'Private not-for-profit' AND T1.chronname = 'Brevard Community College'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Give the total number of all graduated students from a 2-year public schools in Alabama in 2011.
| SELECT SUM(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.state = 'Alabama' AND T2.year = 2011 AND T1.level = '2-year' AND T1.control = 'Public' AND T2.race = 'X'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- For the state which has the 113 2-year public schools, tell the number of graduated Asian students who seeks another type of degree or certificate at a 2-year institution in 2013.
| SELECT COUNT(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.level = '2-year' AND T2.control = 'Public' AND T2.gender = 'B' AND T2.race = 'A' AND T2.cohort = '2y all' AND T1.schools_count = 113; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What is the percentage of the number of 4-year public schools from Madison Area Technical College's home state in the Alabama?
| SELECT CAST(COUNT(DISTINCT CASE WHEN T1.state = ( SELECT T1.state FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T1.chronname = 'Madison Area Technical College' ) AND T1.level = '4-year' AND T1.control = 'Public' THEN T1.chronname ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT CASE WHEN T2.state = 'Alabama' THEN T1.chronname ELSE NULL END) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Give the state and name of institutions in year of data release from 2010 to 2012 with black students.
| SELECT DISTINCT T1.state, T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'B' AND T2.year BETWEEN 2010 AND 2012; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- List down the states in 2011 with a national sector average of 20 and below.
| SELECT DISTINCT T1.state FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.year = 2011 AND T1.awards_per_natl_value <= 20; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Among the race of all students, what is the control of institution and level of institution with highest number of students?
| SELECT DISTINCT T1.control, T1.level FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'X' AND T1.student_count = ( SELECT MAX(T1.student_count) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'X' ); |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Among the states with a public school count of 20 and below, list their race.
| SELECT DISTINCT T2.race FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.schools_count <= 20 AND T1.control = 'Public'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- List the basic of the institution in 2012 with race of all male students.
| SELECT DISTINCT T1.basic, T2.race FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2012 AND T2.gender = 'M' AND t2.race = 'X'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- In Alaska with school count of 1 from year 2011 to 2013, how many of the students are white?
| SELECT COUNT(T2.race) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T1.schools_count = 1 AND T2.year BETWEEN 2011 AND 2013 AND T2.race = 'W' AND T1.state = 'Alaska'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What is the institution's name of american students within the number of degree-seeking students in the cohort that ranges from 1 to 3?
| SELECT DISTINCT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.grad_cohort BETWEEN 1 AND 3 AND T2.race = 'Ai'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Among the states that start with letter A and attained a national sector average of 16.5, give the number of degree-seeking students in the cohort of those students in 2012 .
| SELECT SUM(T2.grad_cohort) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.state LIKE 'A%' AND T1.awards_per_natl_value = 16.5 AND T2.year = 2012; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- List the site of institution within the student count of 500 to 1000 that has the recent year of data release.
| SELECT DISTINCT T1.site FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.student_count BETWEEN 500 AND 1000 AND T2.year = ( SELECT MAX(T2.year) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid ); |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What is the state name of male graduate in 2011 from a private for profit institution with black students?
| SELECT DISTINCT T1.state FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.gender = 'M' AND T2.race = 'B' AND T1.control = 'Private for-profit' AND T2.year = 2011; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Among the black students in 2011, list the institution site and name of those who has 20 t0 30 degree-seeking students in the cohort.
| SELECT DISTINCT T1.site, T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.year = 2011 AND T2.race = 'B' AND T2.grad_cohort BETWEEN 20 AND 30; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- In female students in year 2012, how many of them from a state with number of schools ranges from 10 to 20?
| SELECT COUNT(T2.race) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.gender = 'F' AND schools_count BETWEEN 10 AND 20 AND T2.year = 2012; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- List the race of institutions in Alabama with number of students greater than the 90% of average number of students of all institutions?
| SELECT DISTINCT T2.race FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.student_count > ( SELECT AVG(T1.student_count) * 0.9 FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.state = 'Alabama' ) AND T1.state = 'Alabama'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- In year 2010 at schools located in Hawaii, what is the percentage of schools offers an associate's degree?
| SELECT CAST(SUM(CASE WHEN T2.level = '2-year' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.level) FROM state_sector_details AS T1 INNER JOIN state_sector_grads AS T2 ON T2.stateid = T1.stateid WHERE T2.state = 'Hawaii' AND T2.year = 2010; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- In the state of Connecticut, what is the name of the instution with the highest percent rank for freshman retention percentage within the sector?
| SELECT chronname FROM institution_details WHERE state = 'Connecticut' AND retain_percentile = ( SELECT MAX(retain_percentile) FROM institution_details WHERE state = 'Connecticut' ); |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What is the website address of the institution with the highest number of White degree-seeking students at 2-year institutions in 2008?
| SELECT T1.site FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.race = 'W' AND T2.cohort = '2y all' AND T2.year = 2008 ORDER BY T2.grad_cohort DESC LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- In Harvard University, which year recorded the highest number of first-time, full-time, degree-seeking students in the cohort being tracked, minus any exclusions?
| SELECT T2.year FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Harvard University' GROUP BY T2.year ORDER BY SUM(T2.grad_cohort) DESC LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- In the state with the highest state appropriations to higher education in fiscal year 2011 per resident, which institution has the lowest number of undergraduates in 2010?
| SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN institution_grads AS T3 ON T3.unitid = T1.unitid WHERE T1.student_count = ( SELECT MIN(T1.student_count) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state INNER JOIN institution_grads AS T3 ON T3.unitid = T1.unitid WHERE T3.year = 2010 ) AND T3.year = 2010 GROUP BY T1.state ORDER BY SUM(T2.state_appr_value) DESC LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- In Yale University, what is the average number of Black students per year who were bachelor's/equivalent-seeking cohort at 4-year institutions between 2002 to 2005?
| SELECT AVG(T2.grad_cohort) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Yale University' AND T2.year BETWEEN 2002 AND 2005 AND T2.race = 'B' AND T2.cohort = '4y bach'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Among the Ivy League Schools, which school have the highest number of Hispanic graduates of all time?
| SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) AND T2.race = 'H' GROUP BY T1.chronname ORDER BY SUM(T2.grad_cohort) DESC LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- How many 4-year public institutions are there in the state of Florida? Give all of their names.
| SELECT T1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 WHERE T2.level = '4-year' AND T2.control = 'Public' AND T2.state = 'Florida'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Between the Ivy League Schools, which school's state have the lowest sate appropriations to higher education in fiscal year 2011 per resident?
| SELECT T1.state FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) GROUP BY T1.state ORDER BY SUM(T2.state_appr_value) ASC LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- In the state with the highest number of schools, how many institutions have a percentage of no less than 90 of undergraduates who attend full-time? List all of the institutions' names.
| SELECT COUNT(t1.unitid), t1.chronname FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON t1.state = t2.state WHERE t1.ft_pct > 90 ORDER BY t2.schools_count DESC LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What is the average SAT value for incoming students in all of the schools located in the state with the lowest state appropriations to higher education in fiscal year 2011 per resident?
| SELECT AVG(t1.med_sat_value) FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON t1.state = t2.state ORDER BY t2.state_appr_value LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What is the name of the school with the highest number of first-time, full-time, degree-seeking female students in the cohort being tracked, minus any exclusions who were seeking another type of degree or certificate at a 4-year institution?
| SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T2.gender = 'F' AND T2.cohort = '4y other' ORDER BY T2.grad_cohort DESC LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Among the Ivy League Schools in 2013, which schools have the highest number of Black students who graduated within 150 percent of normal/expected time who were seeking a bachelor's/equivalent cohort at 4-year institutions?
| SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) AND T2.year = 2013 AND T2.race = 'B' AND T2.cohort = '4y bach' ORDER BY T2.grad_cohort DESC LIMIT 1; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- Between 2011 to 2013, what is the average number of male Hispanic degree-seeking students at 2-year institutions who graduated within 150 percent of normal/expected time in United Education Institute-Huntington Park Campus?
| SELECT AVG(T2.grad_150) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'United Education Institute-Huntington Park Campus' AND T2.year BETWEEN 2011 AND 2013 AND T2.gender = 'M' AND T2.race = 'H'; |
-- Database schema
| institution_details : unitid [ INTEGER ] primary_key , chronname [ TEXT ] , city [ TEXT ] , state [ TEXT ] , level [ TEXT ] , control [ TEXT ] , basic [ TEXT ] , hbcu [ TEXT ] , flagship [ TEXT ] , long_x [ REAL ] , lat_y [ REAL ] , site [ TEXT ] , student_count [ INTEGER ] , awards_per_value [ REAL ] , awards_per_state_value [ REAL ] , awards_per_natl_value [ REAL ] , exp_award_value [ INTEGER ] , exp_award_state_value [ INTEGER ] , exp_award_natl_value [ INTEGER ] , exp_award_percentile [ INTEGER ] , ft_pct [ REAL ] , fte_value [ INTEGER ] , fte_percentile [ INTEGER ] , med_sat_value [ TEXT ] , med_sat_percentile [ TEXT ] , aid_value [ INTEGER ] , aid_percentile [ INTEGER ] , endow_value [ TEXT ] , endow_percentile [ TEXT ] , grad_100_value [ REAL ] , grad_100_percentile [ INTEGER ] , grad_150_value [ REAL ] , grad_150_percentile [ INTEGER ] , pell_value [ REAL ] , pell_percentile [ INTEGER ] , retain_value [ REAL ] , retain_percentile [ INTEGER ] , ft_fac_value [ REAL ] , ft_fac_percentile [ INTEGER ] , vsa_year [ TEXT ] , vsa_grad_after4_first [ TEXT ] , vsa_grad_elsewhere_after4_first [ TEXT ] , vsa_enroll_after4_first [ TEXT ] , vsa_enroll_elsewhere_after4_first [ TEXT ] , vsa_grad_after6_first [ TEXT ] , vsa_grad_elsewhere_after6_first [ TEXT ] , vsa_enroll_after6_first [ TEXT ] , vsa_enroll_elsewhere_after6_first [ TEXT ] , vsa_grad_after4_transfer [ TEXT ] , vsa_grad_elsewhere_after4_transfer [ TEXT ] , vsa_enroll_after4_transfer [ TEXT ] , vsa_enroll_elsewhere_after4_transfer [ TEXT ] , vsa_grad_after6_transfer [ TEXT ] , vsa_grad_elsewhere_after6_transfer [ TEXT ] , vsa_enroll_after6_transfer [ TEXT ] , vsa_enroll_elsewhere_after6_transfer [ TEXT ] , similar [ TEXT ] , state_sector_ct [ INTEGER ] , carnegie_ct [ INTEGER ] , counted_pct [ TEXT ] , nicknames [ TEXT ] , cohort_size [ INTEGER ] | institution_grads : unitid [ INTEGER ] institution_grads.unitid = institution_details.unitid , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] | state_sector_grads : stateid [ INTEGER ] state_sector_grads.stateid = state_sector_details.stateid , state [ TEXT ] state_sector_grads.state = institution_details.state , state_abbr [ TEXT ] , control [ TEXT ] , level [ TEXT ] , year [ INTEGER ] , gender [ TEXT ] , race [ TEXT ] , cohort [ TEXT ] , grad_cohort [ TEXT ] , grad_100 [ TEXT ] , grad_150 [ TEXT ] , grad_100_rate [ TEXT ] , grad_150_rate [ TEXT ] , grad_cohort_ct [ INTEGER ] | state_sector_details : stateid [ INTEGER ] , state [ TEXT ] state_sector_details.state = institution_details.state , state_post [ TEXT ] , level [ TEXT ] , control [ TEXT ] , schools_count [ INTEGER ] , counted_pct [ TEXT ] , awards_per_state_value [ TEXT ] , awards_per_natl_value [ REAL ] , exp_award_state_value [ TEXT ] , exp_award_natl_value [ INTEGER ] , state_appr_value [ TEXT ] , state_appr_rank [ TEXT ] , grad_rate_rank [ TEXT ] , awards_per_rank [ TEXT ] |
-- -- What is the name of the school with the highest difference in the average completion rate for the national in which it belongs? Indicate the state appropriations to higher education in fiscal year 2011 per resident to which the school belongs.
| SELECT T1.chronname, T2.state_appr_value FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state ORDER BY T1.awards_per_value - T2.awards_per_natl_value DESC LIMIT 1; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many Yelp businesses are there in 'AZ' with less than "3" stars?
| SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND stars < 3; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- What is the quantity of the closed or not running Yelp Businesses in 'AZ'?
| SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'False'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many long reviews does user No. 36139 give for the Yelp businesses?
| SELECT COUNT(review_length) FROM Reviews WHERE user_id = 36139 AND review_length LIKE 'long'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many users have "uber" number of fans?
| SELECT COUNT(user_id) FROM Users WHERE user_fans LIKE 'Uber'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many Yelp businesses are opened 24 hours?
| SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Open 24 Hours' AND T2.attribute_value LIKE 'TRUE'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- What kind of "wi-fi" does Yelp business No."10172" have?
| SELECT T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.business_id = 10172 AND T1.attribute_name LIKE 'wi-fi'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many "bars" are there in the Yelp business?
| SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Bars'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many more "buffets" than "gyms" in Yelp business?
| SELECT SUM(CASE WHEN T1.category_name LIKE 'Buffets' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name LIKE 'Gyms' THEN 1 ELSE 0 END) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- What business category is the Yelp business which got the most 5 star reviews in?
| SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Reviews AS T4 ON T3.business_id = T4.business_id WHERE T4.review_stars = 5 GROUP BY T1.category_name ORDER BY COUNT(T1.category_name) DESC LIMIT 1; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- In which year did the user who gave the most number of "5" star reviews join the Yelp?
| SELECT T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_stars = 5 GROUP BY T2.user_yelping_since_year ORDER BY COUNT(T1.review_stars) DESC LIMIT 1; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- For the user who gave the most number of long reviews, what is his/her averge ratings of all review?
| SELECT CAST(SUM(T1.review_stars) AS REAL) / COUNT(T1.review_stars) FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_length LIKE 'Long' GROUP BY T1.user_id ORDER BY COUNT(T1.review_length) DESC LIMIT 1; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- For the Yelp business which had the most number of "long" reviews, which category does it belong to?
| SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Long' GROUP BY T2.business_id ORDER BY COUNT(T1.review_length) DESC LIMIT 1; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- For the Yelp business which had the most number of "short" tips, which category does it belong to?
| SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Tips AS T4 ON T3.business_id = T4.business_id WHERE T4.tip_length LIKE 'short'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- In which year did the user who has given the most number of "short" tips join the Yelp?
| SELECT T2.user_yelping_since_year FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.tip_length LIKE 'short' GROUP BY T2.user_yelping_since_year ORDER BY COUNT(T1.tip_length) DESC LIMIT 1; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- User No. 70271 only has given one tip to the Yelp business, which category was that business belonged to?
| SELECT T4.category_name FROM Tips AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.user_id = 70271; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- There was only one tip that user No. 69722 gave to the Yelp business, what was the ratings of that business?
| SELECT T2.stars FROM Tips AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.user_id = 69722; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- Give the percentage of "Automotive" businesses among all the Yelp businesses.
| SELECT CAST(SUM(CASE WHEN T2.category_name LIKE 'Automotive' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "percentage" FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- What percentage more for the "Women's Clothing" Yelp businesses to "Men's Clothing"?
| SELECT CAST(SUM(CASE WHEN T2.category_name LIKE 'Women''s Clothing' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) - CAST(SUM(CASE WHEN T2.category_name LIKE 'Men''s Clothing' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS "more percentage" FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- Give the number of users who joined Yelp since "2004".
| SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2004; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many users who have joined Yelp since "2005" but have no fans?
| SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2005 AND user_fans LIKE 'None'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- State the number of actively running Yelp businesses in "Tolleson".
| SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Tolleson' AND active LIKE 'TRUE'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- What is the number of reviews from user No. "21679"?
| SELECT COUNT(review_length) FROM Reviews WHERE user_id = 21679; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many "5" star reviews does the Yelp business No. "10682" get?
| SELECT COUNT(review_length) FROM Reviews WHERE business_id = 10682 AND review_stars = 5; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- Which closed/not running Yelp business in "Sun City" has got the most reviews? Give the business id.
| SELECT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Sun City' AND T1.active LIKE 'FALSE' GROUP BY T1.business_id ORDER BY COUNT(T2.review_length) DESC LIMIT 1; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- For the only Yelp business in "Yuma" city, how many "medium" reviews did it get?
| SELECT COUNT(T2.review_length) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Yuma' AND T2.review_length LIKE 'Medium'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- Does Yelp business No."4960" have TV?
| SELECT DISTINCT CASE WHEN T1.attribute_name LIKE 'Has TV' THEN 'yes' ELSE 'no' END FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.business_id = 4960; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- Give the number of "dogs allowed" Yelp businesses.
| SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Dogs Allowed' AND T2.attribute_value LIKE 'TRUE'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many hours does the Yelp business No. "5734" open on Saturday?
| SELECT T1.closing_time - T1.opening_time AS "hour" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Saturday' AND T1.business_id = 5734; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- Tell the number of "hair removal" Yelp businesses.
| SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Hair Removal'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many more "Chinese" than "Filipino" Yelp businesses?
| SELECT SUM(CASE WHEN T1.category_name LIKE 'Chinese' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name LIKE 'Filipino' THEN 1 ELSE 0 END) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- User No."63469" has got "1" like for a tip to the Yelp business, which city is that business located in?
| SELECT T1.city FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.likes = 1 AND T2.user_id = 63469; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many types of music does Yelp business No."1141" have?
| SELECT COUNT(T1.attribute_name) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T2.business_id = 1141; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many "cute" type of compliments does user No. 57400 get?
| SELECT COUNT(T1.compliment_type) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type LIKE 'cute' AND T2.user_id = 57400; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- Who has got the most number of "funny" type of compliments? Give the user ID.
| SELECT user_id FROM Users_Compliments WHERE compliment_id IN ( SELECT compliment_id FROM Compliments WHERE compliment_type LIKE 'funny' ); |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- Give the number of "drive-thru" businesses in "Scottsdale" with business ID number less than "1000".
| SELECT T2.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.business_id < 1000 AND T3.city LIKE 'Scottsdale' AND T1.attribute_name LIKE 'Drive-Thru' AND T2.attribute_value LIKE 'TRUE'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- What is the average rating for the all Yelp businesses that open 24 hours?
| SELECT CAST(SUM(T3.stars) AS REAL) / COUNT(T2.business_id) AS "avg" FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'Open 24 Hours' AND T2.attribute_value LIKE 'TRUE'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- For all the Yelp businesses that allow customers bring their own beer, what percentage of them are in "Phoenix"?
| SELECT CAST(SUM(CASE WHEN T3.city LIKE 'Phoenix' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.business_id) AS "percentage" FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'BYOB' AND T2.attribute_value LIKE 'TRUE'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- List the names of business in AZ with a rating of 5.
| SELECT business_id FROM Business WHERE state LIKE 'AZ' AND stars = 5; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many active businesses of city are underrated?
| SELECT COUNT(business_id) FROM Business WHERE review_count LIKE 'Low' AND active LIKE 'TRUE'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many user ids from 1 to 20 have no fan users and have low ratings?
| SELECT COUNT(user_id) FROM Users WHERE user_id BETWEEN 1 AND 20 AND user_fans LIKE 'None' AND user_review_count LIKE 'Low'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- Indicate the opening hours of businesses are with category in fashion.
| SELECT T4.opening_time FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Fashion'; |
-- Database schema
| Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] |
-- -- How many businesses operating in the shopping business have opening times before 8AM?
| SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T4.opening_time < '8AM' AND T1.category_name LIKE 'Shopping'; |
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