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<table0>[table_7755] { <col0>[Television]:[service] <col1>[text]:[Country] <col2>[text]:[Content] <col3>[text]:[HDTV] <col4>[text]:[Package] <col5>[Option]:[text] }
SELECT "Television service" FROM `<table0>` WHERE "Content" = 'general television'
Which Television service has a Content of general television?
<table0>[Categories] { <col0>[CategoryID]:[integer] <col1>[CategoryName]:[text] <col2>[Description]:[text] } <table1>[Customers] { <col0>[CustomerID]:[integer] <col1>[CustomerName]:[text] <col2>[ContactName]:[text] <col3>[Address]:[text] <col4>[City]:[text] <col5>[PostalCode]:[text] <col6>[Country]:[text] } <table2>[...
SELECT COUNT( T1.CustomerID ) FROM `<table1>` AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE STRFTIME( '%Y', T2.OrderDate ) = '1996' AND T1.Country = 'UK'
In 1996, how many orders were from customers in the UK?
<table0>[status] { <col0>[station_id]:[number] <col1>[bikes_available]:[number] <col2>[docks_available]:[number] <col3>[time]:[text] } <table1>[station] { <col0>[number]:[name] <col1>[text]:[lat] <col2>[number]:[long] <col3>[number]:[dock_count] <col4>[number]:[city] <col5>[text]:[installation_date] } <table2>[trip] ...
SELECT start_station_name, start_station_id FROM `<table2>` WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT( * ) DESC LIMIT 1
Which start station had the most trips starting from August? Give me the name and id of the station.
<table0>[table_72567] { <col0>[Rank]:[real] <col1>[Country]:[text] <col2>[Overall]:[text] <col3>[Justice]:[text] <col4>[Health]:[text] <col5>[Education]:[text] <col6>[Economics]:[text] <col7>[Politics]:[text] }
SELECT "Health" FROM `<table0>` WHERE "Justice" = '80.7'
what's the health score with justice being 80.7
<table0>[Rating] { <col0>[stars]:[VARCHAR] <col1>[ratingDate]:[VARCHAR] <col2>[mID]:[VARCHAR] <col3>[rID]:[VARCHAR] } <table1>[Reviewer] { <col0>[name]:[VARCHAR] <col1>[rID]:[VARCHAR] } <table2>[Movie] { <col0>[title]:[VARCHAR] <col1>[mID]:[VARCHAR] }
SELECT T3.name, T2.title, T1.stars, T1.ratingDate FROM `<table0>` AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID ORDER BY T3.name, T2.title, T1.stars
Return reviewer name, movie title, stars, and ratingDate. And sort the data first by reviewer name, then by movie title, and lastly by number of stars.
<table0>[marine_protected_areas] { <col0>[name]:[TEXT] <col1>[location]:[TEXT] <col2>[avg_depth]:[FLOAT] }
SELECT MAX( avg_depth ) FROM marine_protected_areas;
What is the maximum depth observed for any marine protected area?
<table0>[basketball_match] { <col0>[Team_ID]:[int] <col1>[School_ID]:[int] <col2>[Team_Name]:[text] <col3>[ACC_Regular_Season]:[text] <col4>[ACC_Percent]:[text] <col5>[ACC_Home]:[text] <col6>[ACC_Road]:[text] <col7>[All_Games]:[text] <col8>[All_Games_Percent]:[int] <col9>[All_Home]:[text] <col10>[All_Road]:[text] <col1...
SELECT All_Home, AVG( `<col0>` ) FROM `<table0>` GROUP BY `<col9>` ORDER BY `<col9>`
Give me a bar chart for mean team id of each all home, sort from low to high by the bars please.
<table0>[course] { <col0>[course_id]:[int] <col1>[name]:[varchar] <col2>[department]:[varchar] <col3>[number]:[varchar] <col4>[credits]:[varchar] <col5>[advisory_requirement]:[varchar] <col6>[enforced_requirement]:[varchar] <col7>[description]:[varchar] <col8>[num_semesters]:[int] <col9>[num_enrolled]:[int] <col10>[has...
SELECT COUNT( * ) > 0 FROM course, course_offering, semester WHERE course_offering.start_time < '12:00:00' AND course_offering.start_time >= '08:00:00' AND course.course_id = course_offering.course_id AND course.department = 'MENAS' AND course.number = 334 AND semester.semester = 'WN' AND semester.semester_id = course_...
Are there any morning sessions for MENAS 334 ?
<table0>[dapps] { <col0>[dapp_id]:[INT] <col1>[dapp_name]:[VARCHAR] <col2>[255]:[total_transactions] <col3>[INT]:[industry_category] <col4>[VARCHAR]:[255] }
SELECT industry_category, SUM( total_transactions ) as total_transactions FROM `<table0>` GROUP BY industry_category ORDER BY total_transactions DESC;
What is the total number of transactions for each industry category, sorted by the total transaction count in descending order?
<table0>[table_name_5] { <col0>[casualties]:[INTEGER] <col1>[number]:[VARCHAR] }
SELECT AVG( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "u-844"
What is the average number of casualties for the convoy with a number of U-844?
<table0>[artist] { <col0>[Famous_Title]:[VARCHAR] <col1>[Age]:[VARCHAR] }
SELECT Famous_Title, `<col1>` FROM `<table0>` ORDER BY `<col1>` DESC
Please list the age and famous title of artists in descending order of age.
<table0>[Documents_to_be_Destroyed] { <col0>[Document_ID]:[INTEGER] <col1>[Destruction_Authorised_by_Employee_ID]:[INTEGER] <col2>[Destroyed_by_Employee_ID]:[INTEGER] <col3>[Planned_Destruction_Date]:[DATETIME] <col4>[Actual_Destruction_Date]:[DATETIME] <col5>[Other_Details]:[VARCHAR] } <table1>[Employees] { <col0>[Em...
SELECT Date_in_Locaton_To, COUNT( `<col3>` ) FROM `<table5>` GROUP BY `<col1>`
Show the number of documents in different ending date. Bin ending date by weekday and group by location code with a stacked bar chart.
<table0>[allergy] { <col0>[allergyid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[text] <col3>[allergyname]:[text] <col4>[allergytime]:[time] } <table1>[patient] { <col0>[uniquepid]:[text] <col1>[patienthealthsystemstayid]:[number] <col2>[patientunitstayid]:[number] <col3>[gender]:[text] <col4>[age]:...
SELECT `<table7>`.observationtime FROM `<table7>` WHERE `<table7>`.`<table1>`unitstayid IN ( SELECT `<table1>`.`<table1>`unitstayid FROM `<table1>` WHERE `<table1>`.`<table1>`healthsystemstayid IN ( SELECT `<table1>`.`<table1>`healthsystemstayid FROM `<table1>` WHERE `<table1>`.uniquepid = '015-12508' ) ) AND `<table7>...
when did patient 015-12508 have the first sao2 to be less than 93.0 until 931 days ago?
<table0>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table1>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[...
SELECT COUNT( DISTINCT `<table3>`.subject_id ) FROM `<table3>` WHERE `<table3>`.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND `<table3>`.diagnosis = "RUQ PAIN"
How many patients discharge location is disch-tran to psych hosp and primary diagnosis is ruq pain?
<table0>[d_icd_procedures] { <col0>[row_id]:[number] <col1>[icd9_code]:[text] <col2>[short_title]:[text] <col3>[long_title]:[text] } <table1>[outputevents] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[charttime]:[time] <col5>[itemid]:[number] <col6>[...
SELECT COUNT( DISTINCT t2.subject_id ) FROM ( SELECT t1.subject_id, t1.charttime FROM ( SELECT `<table12>`.subject_id, `<table7>`.charttime FROM `<table7>` JOIN `<table12>` ON `<table7>`.hadm_id = `<table12>`.hadm_id WHERE `<table7>`.icd9_code = ( SELECT `<table4>`.icd9_code FROM `<table4>` WHERE `<table4>`.short_title...
how many patients died within 2 months after being diagnosed until 4 years ago with alkalosis?
<table0>[grants] { <col0>[INT]:[department] <col1>[VARCHAR]:[FLOAT] }
SELECT AVG( amount ) FROM `<table0>` WHERE department = 'Sciences';
Calculate the average grant amount awarded to the 'Sciences' department
<table0>[requirement] { <col0>[requirement_id]:[int] } <table1>[semester] { <col0>[semester_id]:[int] } <table2>[instructor] { <col0>[instructor_id]:[int] <col1>[name]:[varchar] <col2>[uniqname]:[varchar] } <table3>[jobs] { <col0>[job_id]:[int] <col1>[job_title]:[varchar] <col2>[description]:[varchar] <col3>[require...
SELECT COUNT( * ) > 0 FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'CHE' AND course.number = 995 AND semester.semester = 'Spring-Summer' AND semester.semester_id = course_offering.semester AND semester.year = 2003
During the Spring-Summer 2003 will the CHE 995 class be available ?
<table0>[table_28138035_4] { <col0>[year_location]:[VARCHAR] <col1>[womens_singles]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Haruna Fukuoka"
Name the year location for haruna fukuoka
<table0>[DistrictZCourses] { <col0>[courseID]:[INT] <col1>[instructorName]:[VARCHAR] <col2>[courseType]:[VARCHAR] }
SELECT COUNT( DISTINCT `<col1>` ) FROM `<table0>` WHERE `<col2>` = 'open pedagogy';
Find the number of unique instructors who have taught open pedagogy courses in 'District Z'.
<table0>[ev_id] { <col0>[INT]:[TEXT] <col1>[model]:[TEXT] <col2>[year]:[INT] <col3>[CO2_emissions]:[FLOAT] }
SELECT AVG( CO2_emissions ) FROM ev WHERE make IS NOT NULL AND model IS NOT NULL AND year IS NOT NULL AND state = 'California';
Calculate the average CO2 emissions of electric vehicles in California.
<table0>[driver] { <col0>[Driver_ID]:[int] <col1>[text]:[Party] <col2>[text]:[Home_city] <col3>[text]:[Age] } <table1>[school] { <col0>[School_ID]:[int] <col1>[Grade]:[text] <col2>[School]:[text] <col3>[Location]:[text] <col4>[Type]:[text] } <table2>[school_bus] { <col0>[School_ID]:[int] <col1>[Driver_ID]:[int] <col2...
SELECT Name, Age FROM `<table0>` ORDER BY Age
Show the name and age for all drivers with a bar chart, and display by the total number from low to high.
<table0>[hz_info] { <col0>[text]:[KLX] <col1>[number]:[RYBH] <col2>[text]:[YLJGDM] } <table1>[zyjzjlb_jybgb] { <col0>[YLJGDM_ZYJZJLB]:[text] <col1>[BGDH]:[number] <col2>[YLJGDM]:[number] } <table2>[zyjzjlb] { <col0>[CYBQDM]:[text] <col1>[CYBQMC]:[text] <col2>[CYCWH]:[text] <col3>[CYKSDM]:[text] <col4>[CYKSMC]:[text] ...
SELECT `<table5>`.SHRGH, `<table5>`.SHRXM FROM `<table5>` WHERE `<table5>`.JZLSH = '71126102589'
在医疗就诊71126102589中给赵立辉这个病人审核检验报告的人员和工号分别是什么
<table0>[table_name_73] { <col0>[total_points]:[INTEGER] <col1>[details]:[VARCHAR] }
SELECT MIN( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "2001 nrl grand final"
For the match that had detail of 2001 nrl grand final, what was the lowest total points?
<table0>[table_name_69] { <col0>[to_par]:[VARCHAR] <col1>[country]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "south korea"
What is South Korea's to par value?
<table0>[comment_instructor] { <col0>[instructor_id]:[int] <col1>[student_id]:[int] <col2>[score]:[int] <col3>[comment_text]:[varchar] } <table1>[course_tags_count] { <col0>[course_id]:[int] <col1>[clear_grading]:[int] <col2>[pop_quiz]:[int] <col3>[group_projects]:[int] <col4>[inspirational]:[int] <col5>[long_lectures...
SELECT DISTINCT `<table7>`.department, `<table7>`.name, `<table7>`.number FROM `<table7>` INNER JOIN program_`<table7>` ON program_`<table7>`.`<table7>`_id = `<table7>`.`<table7>`_id WHERE `<table7>`.credits = 17 AND program_`<table7>`.category LIKE 'ULCS'
What upper-level classes offer 17 credits ?
<table0>[table_name_77] { <col0>[date]:[VARCHAR] <col1>[winning_driver]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "pedro rodríguez"
When was pedro rodr guez the winning driver?
<table0>[programs] { <col0>[INT]:[name] <col1>[VARCHAR]:[255] } <table1>[donations] { <col0>[INT]:[program_id] <col1>[INT]:[DECIMAL] }
SELECT program_id, SUM( amount ) OVER ( PARTITION BY program_id ) AS total_donations FROM donations;
What is the total number of donations received by each program?
<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table2>[demogr...
SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN diagnoses ON `<table2>`.hadm_id = diagnoses.hadm_id WHERE `<table2>`.age < "30" AND diagnoses.long_title = "Pure hyperglyceridemia"
report the number of patients with the diagnoses of pure hyperglyceridemia who are younger than 30 years of age.
<table0>[table_name_95] { <col0>[lost]:[INTEGER] <col1>[goals_scored]:[VARCHAR] <col2>[played]:[VARCHAR] }
SELECT AVG( `<col0>` ) FROM `<table0>` WHERE `<col1>` > 20 AND `<col2>` < 18
What is the average value for Lost, when the value for Goals Scored is greater than 20, and when the value for Played is less than 18?
<table0>[table_name_66] { <col0>[date]:[VARCHAR] <col1>[home_team]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "south melbourne"
When did South Melbourne play as the home team?
<table0>[table_203_131] { <col0>[number]:[pos] <col1>[number]:[car] <col2>[number]:[driver] <col3>[text]:[text] <col4>[team]:[text] }
SELECT "driver" FROM `<table0>` WHERE "pos." = 1
who placed first in the race ?
<table0>[genre] { <col0>[integer]:[genre_name] } <table1>[game] { <col0>[integer]:[genre_id] <col1>[integer]:[game_name] } <table2>[platform] { <col0>[integer]:[platform_name] } <table3>[publisher] { <col0>[integer]:[publisher_name] } <table4>[game_publisher] { <col0>[integer]:[game_id] <col1>[integer]:[publisher_i...
SELECT COUNT( T.id ) FROM `<table5>` AS T WHERE T.release_year = 2001
How many games were released in 2001?
<table0>[diagnosis] { <col0>[diagnosisid]:[number] <col1>[patientunitstayid]:[number] <col2>[diagnosisname]:[text] <col3>[diagnosistime]:[time] <col4>[icd9code]:[text] } <table1>[treatment] { <col0>[treatmentid]:[number] <col1>[patientunitstayid]:[number] <col2>[treatmentname]:[text] <col3>[treatmenttime]:[time] } <t...
SELECT MIN( `<table3>`.`<table3>`result ) FROM `<table3>` WHERE `<table3>`.`<table5>`unitstayid IN ( SELECT `<table5>`.`<table5>`unitstayid FROM `<table5>` WHERE `<table5>`.`<table5>`healthsystemstayid IN ( SELECT `<table5>`.`<table5>`healthsystemstayid FROM `<table5>` WHERE `<table5>`.uniquepid = '021-95970' ) ) AND `...
oh what is the minimum value of tv on patient 021-95970 in 12/2105?
<table0>[Assessment_Notes] { <col0>[notes_id]:[INTEGER] <col1>[student_id]:[INTEGER] <col2>[teacher_id]:[INTEGER] <col3>[date_of_notes]:[DATETIME] <col4>[text_of_notes]:[VARCHAR] <col5>[255]:[other_details] <col6>[VARCHAR]:[255] } <table1>[Behavior_Incident] { <col0>[incident_id]:[INTEGER] <col1>[incident_type_code]:[...
SELECT date_address_from, AVG( `<col4>` ) FROM `<table10>` GROUP BY `<col5>` ORDER BY `<col4>` DESC
Give me the comparison about the average of monthly_rental over the date_address_from , and group by attribute other_details and bin date_address_from by time by a bar chart.
<table0>[Accounts] { <col0>[customer_id]:[VARCHAR] } <table1>[Customers] { <col0>[customer_first_name]:[VARCHAR] <col1>[customer_last_name]:[VARCHAR] <col2>[customer_id]:[VARCHAR] } <table2>[Customers] { <col0>[customer_first_name]:[VARCHAR] <col1>[customer_last_name]:[VARCHAR] }
SELECT customer_first_name, `<col1>` FROM `<table1>` EXCEPT SELECT T1.customer_first_name, T1.customer_last_name FROM `<table1>` AS T1 JOIN Accounts AS T2 ON T1.customer_id = T2.customer_id
Show the first names and last names of customers without any account.
<table0>[semester] { <col0>[semester_id]:[int] } <table1>[student] { <col0>[student_id]:[int] <col1>[lastname]:[varchar] <col2>[firstname]:[varchar] <col3>[program_id]:[int] <col4>[declare_major]:[varchar] <col5>[total_credit]:[int] <col6>[total_gpa]:[float] <col7>[entered_as]:[varchar] <col8>[admit_term]:[int] <col9>...
SELECT DISTINCT `<table14>`.department, `<table14>`.name, `<table14>`.number, semester.semester FROM `<table14>` INNER JOIN `<table14>`_offering ON `<table14>`.`<table14>`_id = `<table14>`_offering.`<table14>`_id INNER JOIN semester ON semester.semester_id = `<table14>`_offering.semester INNER JOIN program_`<table14>` ...
Which courses would fulfill the ULCS requirement in the Fall or Winter ?
<table0>[t_kc22] { <col0>[MED_EXP_DET_ID]:[text] <col1>[OVERALL_CD_ORG]:[text] <col2>[OVERALL_CD_PERSON]:[text] <col3>[MED_CLINIC_ID]:[text] <col4>[MED_EXP_BILL_ID]:[text] <col5>[SOC_SRT_DIRE_CD]:[text] <col6>[SOC_SRT_DIRE_NM]:[text] <col7>[DIRE_TYPE]:[number] <col8>[CHA_ITEM_LEV]:[number] <col9>[MED_INV_ITEM_TYPE]:[te...
SELECT `<col3>` FROM `<table1>` WHERE `<col7>` = '52604335' AND `<col5>` BETWEEN '2010-01-31' AND '2015-12-04'
列出患者52604335就诊结算日期在10年1月31日到15年12月4日内的所有医疗就诊记录编号都分别是有哪些?
<table0>[course_prerequisite] { <col0>[pre_course_id]:[int] <col1>[course_id]:[int] } <table1>[area] { <col0>[course_id]:[int] } <table2>[offering_instructor] { <col0>[offering_instructor_id]:[int] <col1>[offering_id]:[int] <col2>[instructor_id]:[int] } <table3>[student] { <col0>[student_id]:[int] <col1>[lastname]:[...
SELECT DISTINCT `<col5>` FROM `<table14>` WHERE `<col2>` = 'MATSCIE' AND `<col3>` = 693
Are there any courses I should take prior to taking MATSCIE 693 that would help me ?
<table0>[team_franchise] { <col0>[franchise_id]:[TEXT] <col1>[franchise_name]:[TEXT] <col2>[active]:[TEXT] <col3>[na_assoc]:[TEXT] } <table1>[player_award_vote] { <col0>[award_id]:[TEXT] <col1>[year]:[INTEGER] <col2>[league_id]:[TEXT] <col3>[player_id]:[TEXT] <col4>[points_won]:[NUMERIC] <col5>[points_max]:[INTEGER] <...
SELECT year, SUM( `<col8>` ) FROM `<table19>` ORDER BY `<col0>` DESC
Show the trend about the number of attendance at home games change over the years, bin year into year interval, I want to show in desc by the X.
<table0>[table_25851971_1] { <col0>[INTEGER]:[written_by] }
SELECT MAX( no ) FROM `<table0>` WHERE written_by = "Karin Gist"
What episode number was written by Karin Gist?
<table0>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table1>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[...
SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN lab ON `<table2>`.hadm_id = lab.hadm_id WHERE `<table2>`.dob_year < "2056" AND lab.fluid = "Ascites"
give me the number of patients whose year of birth is less than 2056 and lab test fluid is ascites?
<table0>[code_description] { <col0>[code]:[varchar] <col1>[description]:[text] } <table1>[flight_leg] { <col0>[flight_id]:[int] <col1>[leg_number]:[int] <col2>[leg_flight]:[int] } <table2>[aircraft] { <col0>[aircraft_code]:[varchar] <col1>[aircraft_description]:[varchar] <col2>[manufacturer]:[varchar] <col3>[basic_ty...
SELECT DISTINCT flight.flight_id FROM `<table22>` AS AIRPORT_SERVICE_0, `<table22>` AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ( ( ( flight.departure_time BETWEEN 0 AND 1200 ) AND date_day.day_number = 21 AND date_day.month_number = 2 AND date_day.year = 1991 AND days.day_name = ...
show me flights from PITTSBURGH to ATLANTA on monday morning
<table0>[VendorCategory] { <col0>[VendorID]:[INT] } <table1>[MenuItems] { <col0>[MenuItemID]:[INT] <col1>[VendorID]:[INT] <col2>[MenuItemName]:[VARCHAR] <col3>[MenuItemType]:[VARCHAR] }
SELECT COUNT( * ) FROM `<table1>` WHERE `<col1>` IN ( SELECT `<col1>` FROM `<table0>` WHERE `<table0>` = 'Organic' ) AND `<col3>` = 'Vegetarian';
How many vegetarian dishes are offered by organic vendors?
<table0>[users] { <col0>[userid]:[integer] <col1>[age]:[text] <col2>[u_gender]:[text] <col3>[occupation]:[text] } <table1>[directors] { <col0>[directorid]:[integer] <col1>[d_quality]:[integer] <col2>[avg_revenue]:[integer] } <table2>[actors] { <col0>[actorid]:[integer] <col1>[a_gender]:[text] <col2>[a_quality]:[integ...
SELECT T1.directorid FROM `<table1>` AS T1 INNER JOIN movies2`<table1>` AS T2 ON T1.directorid = T2.directorid WHERE T1.d_quality = 5 GROUP BY T1.directorid ORDER BY COUNT( T2.movieid ) DESC LIMIT 1
Which directors with the best quality directed the most films?
<table0>[table_19159] { <col0>[Year]:[real] <col1>[1st]:[District] <col2>[text]:[2nd] <col3>[District]:[text] <col4>[3rd]:[District] <col5>[text]:[4th] <col6>[District]:[text] <col7>[5th]:[District] }
SELECT "Year" FROM `<table0>` WHERE "2nd District" = 'David L. Baker' AND "1st District" = 'Cecil M. Featherly'
List all the years with Cecil M. Featherly in the 1st district and David L. Baker in the 2nd district?
<table0>[lab] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[itemid]:[text] <col3>[charttime]:[text] <col4>[flag]:[text] <col5>[value_unit]:[text] <col6>[label]:[text] <col7>[fluid]:[text] } <table1>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[...
SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN lab ON `<table2>`.hadm_id = lab.hadm_id WHERE `<table2>`.admityear < "2194" AND lab.flag = "abnormal"
how many patients are admitted in the year before 2194 and with results as abnormal status in the lab test?
<table0>[SuggestedEdits] { <col0>[number]:[PostId] <col1>[number]:[CreationDate] <col2>[time]:[ApprovalDate] <col3>[time]:[RejectionDate] <col4>[time]:[OwnerUserId] <col5>[number]:[Comment] <col6>[text]:[Text] <col7>[text]:[Title] <col8>[text]:[Tags] <col9>[text]:[RevisionGUID] } <table1>[VoteTypes] { <col0>[number]:[...
SELECT ReviewTasks.Id, ReviewTasks.CreationDate, ReviewTaskTypes.Name AS ReviewType, ReviewTaskResultTypes.Name AS ResultType FROM ReviewTasks, ReviewTaskResults, ReviewTaskResultTypes, ReviewTaskTypes WHERE ReviewTasks.CompletedByReviewTaskId = ReviewTaskResults.Id AND ReviewTaskResultTypes.Id = ReviewTaskResults.Revi...
Filterable history of Review Types and Results.
<table0>[table_name_62] { <col0>[nation]:[VARCHAR] <col1>[athlete]:[VARCHAR] <col2>[medal_count]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "paavo nurmi" AND `<col2>` < 12
What nation has paavo nurmi as the athlete, with a medal count less than 12?
<table0>[table_34510] { <col0>[Rank]:[text] <col1>[Player]:[text] <col2>[Position]:[text] <col3>[Career]:[text] <col4>[Points]:[real] }
SELECT SUM( "Points" ) FROM `<table0>` WHERE "Rank" = '61t'
What is the sum of the points for the player who was a rank of 61t?
<table0>[table_name_94] { <col0>[place]:[VARCHAR] <col1>[comp]:[VARCHAR] <col2>[date]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "ech" AND `<col2>` = "1989"
What's the place of 1989 with a comp of ECH?
<table0>[CountryRegion] { <col0>[CountryRegionCode]:[text] <col1>[text]:[ModifiedDate] } <table1>[Culture] { <col0>[CultureID]:[text] <col1>[text]:[ModifiedDate] } <table2>[Currency] { <col0>[CurrencyCode]:[text] <col1>[text]:[ModifiedDate] } <table3>[CountryRegionCurrency] { <col0>[CountryRegionCode]:[text] <col1>[...
SELECT T2.Name FROM `<table41>` AS T1 INNER JOIN Vendor AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.ProductID = 348 ORDER BY T1.AverageLeadTime ASC LIMIT 1
Find the vendor with the least average lead time for Product ID 348.
<table0>[gymnast] { <col0>[gymnast_id]:[number] <col1>[floor_exercise_points]:[number] <col2>[pommel_horse_points]:[number] <col3>[rings_points]:[number] <col4>[vault_points]:[number] <col5>[parallel_bars_points]:[number] <col6>[horizontal_bar_points]:[number] <col7>[total_points]:[number] } <table1>[people] { <col0>[...
SELECT T2.hometown FROM `<table0>` AS T1 JOIN people AS T2 ON T1.`<table0>`_id = T2.people_id GROUP BY T2.hometown ORDER BY COUNT( * ) DESC LIMIT 1
Return the hometown that is most common among gymnasts.
<table0>[traditional_arts] { <col0>[INT]:[name] <col1>[TEXT]:[type] <col2>[TEXT]:[region] <col3>[TEXT]:[INSERT] }
SELECT COUNT( * ) FROM `<table0>` WHERE region = 'Europe';
How many traditional arts are practiced in Europe?
<table0>[ReviewTaskResults] { <col0>[number]:[ReviewTaskId] <col1>[number]:[ReviewTaskResultTypeId] <col2>[number]:[CreationDate] <col3>[time]:[RejectionReasonId] <col4>[number]:[Comment] } <table1>[Badges] { <col0>[number]:[UserId] <col1>[number]:[text] <col2>[Date]:[time] <col3>[Class]:[number] <col4>[TagBased]:[boo...
SELECT TIME_TO_STR( `<table13>`.CreationDate, '%h' ) AS Hour, COUNT( `<table13>`.Id ) AS Questions FROM `<table13>` WHERE PostTypeId = 1 GROUP BY TIME_TO_STR( `<table13>`.CreationDate, '%h' ) ORDER BY TIME_TO_STR( `<table13>`.CreationDate, '%h' )
Questions by Time of Day. Designed to consider whether 'night' questions have more visibility than 'day' questions
<table0>[table_name_72] { <col0>[points]:[VARCHAR] <col1>[constructor]:[VARCHAR] <col2>[wins]:[VARCHAR] }
SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "citroën total world rally team" AND `<col2>` < 7
what is the total number of points when the constructor is citroën total world rally team and the wins is less than 7?
<table0>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[icustay_id]:[number] <col4>[first_careunit]:[text] <col5>[last_careunit]:[text] <col6>[first_wardid]:[number] <col7>[last_wardid]:[number] <col8>[intime]:[time] <col9>[outtime]:[time] } <table1>[transfers] { <col0>...
SELECT MIN( t1.c1 ) FROM ( SELECT SUM( `<table15>`.`<table15>` ) AS c1 FROM `<table15>` WHERE `<table15>`.hadm_id IN ( SELECT `<table12>`.hadm_id FROM `<table12>` WHERE `<table12>`.icd9_code = ( SELECT `<table11>`.icd9_code FROM `<table11>` WHERE `<table11>`.short_title = 'fiber-optic bronchoscopy' ) ) GROUP BY `<table...
what is the hospitals minimum cost that involves a procedure called a fiber-optic bronchoscopy?
<table0>[table_53070] { <col0>[Home]:[team] <col1>[text]:[Home] <col2>[team]:[score] <col3>[text]:[Away] <col4>[team]:[text] <col5>[Away]:[team] <col6>[score]:[text] <col7>[Venue]:[text] <col8>[Crowd]:[real] <col9>[Date]:[text] }
SELECT "Date" FROM `<table0>` WHERE "Home `<col2>` score" = '8.9 ( 57 )'
When was the game where the home team score was 8.9 (57)?
<table0>[community_initiatives] { <col0>[INT]:[initiative_name] <col1>[VARCHAR]:[100] <col2>[location]:[VARCHAR] <col3>[start_date]:[DATE] <col4>[end_date]:[DATE] <col5>[budget]:[DECIMAL] <col6>[duration]:[INT] }
INSERT INTO community_initiatives ( id, initiative_name, location, start_date, end_date, budget, duration ) VALUES ( 3, 'Fair Trade Marketing Support', 'India', '2022-06-01', '2024-05-31', 150000.00, 24 );
Insert a new community development initiative in India, 'Fair Trade Marketing Support', started on '2022-06-01' with a budget of 150000.00 and a duration of 24 months.
<table0>[table_name_55] { <col0>[year]:[INTEGER] <col1>[mixed_doubles]:[VARCHAR] }
SELECT AVG( `<col0>` ) FROM `<table0>` WHERE `<col1>` = "mika heinonen susanna dahlberg"
When did mika heinonen susanna dahlberg win mixed doubles?
<table0>[table_name_59] { <col0>[visitor]:[VARCHAR] <col1>[date]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "march 27"
Who was the visitor on March 27?
<table0>[garment_sales] { <col0>[sales_id]:[INT] <col1>[PRIMARY]:[KEY] <col2>[garment_id]:[INT] <col3>[store_id]:[INT] <col4>[quantity]:[INT] <col5>[price]:[DECIMAL] <col6>[date]:[DATE] } <table1>[garments] { <col0>[garment_id]:[INT] <col1>[PRIMARY]:[KEY] <col2>[garment_name]:[TEXT] <col3>[garment_category]:[TEXT] <co...
SELECT g.garment_category, SUM( gs.quantity ) as total_quantity FROM `<table0>` gs JOIN garments g ON gs.garment_id = g.garment_id GROUP BY g.garment_category;
What is the total quantity of garments sold per garment category?
<table0>[wrestler] { <col0>[Wrestler_ID]:[int] <col1>[text]:[Reign] <col2>[text]:[Days_held] <col3>[text]:[Location] <col4>[text]:[Event] } <table1>[Elimination] { <col0>[Elimination_ID]:[text] <col1>[Wrestler_ID]:[text] <col2>[Team]:[text] <col3>[Eliminated_By]:[text] <col4>[Elimination_Move]:[text] <col5>[Time]:[tex...
SELECT Team, COUNT( * ) FROM `<table1>` GROUP BY `<col2>`
Return a bar chart on how many eliminations did each team have?
<table0>[lists] { <col0>[user_id]:[integer] <col1>[list_id]:[integer] <col2>[list_title]:[text] <col3>[list_movie_number]:[integer] <col4>[list_update_timestamp_utc]:[text] <col5>[list_creation_timestamp_utc]:[text] <col6>[list_followers]:[integer] <col7>[list_url]:[text] <col8>[list_comments]:[integer] <col9>[list_des...
SELECT DISTINCT T2.movie_title, T2.movie_popularity FROM `<table4>` AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T1.rating_score = 5
List all movies with the best rating score. State the movie title and number of Mubi user who loves the movie.
<table0>[location] { <col0>[locationID]:[integer] <col1>[locationcity]:[text] <col2>[address]:[text] <col3>[state]:[text] <col4>[zipcode]:[integer] <col5>[officephone]:[text] } <table1>[position] { <col0>[positionID]:[integer] <col1>[positiontitle]:[text] <col2>[educationrequired]:[text] <col3>[minsalary]:[text] <col4...
SELECT T2.maxsalary, T2.minsalary, T2.positiontitle FROM `<table2>` AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T1.firstname = 'Bill' AND T1.lastname = 'Marlin'
What are the maximum and minimum salary range and position title of Bill Marlin?
<table0>[table_name_83] { <col0>[outcome]:[VARCHAR] <col1>[tournament]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "tokyo"
what is the outcome when the tournament is tokyo?
<table0>[table_22905641_2] { <col0>[date]:[VARCHAR] <col1>[circuit]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "Symmons Plains Raceway"
What date was the race at the Symmons Plains Raceway?
<table0>[airport_service] { <col0>[city_code]:[varchar] <col1>[airport_code]:[varchar] <col2>[miles_distant]:[int] <col3>[direction]:[varchar] <col4>[minutes_distant]:[int] } <table1>[equipment_sequence] { <col0>[aircraft_code_sequence]:[varchar] <col1>[aircraft_code]:[varchar] } <table2>[flight_stop] { <col0>[flight...
SELECT DISTINCT flight.flight_id FROM `<table0>` AS AIRPORT_SERVICE_0, `<table0>` AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPH...
i need a flight from SAN FRANCISCO to PHILADELPHIA
<table0>[prescriptions] { <col0>[row_id]:[number] <col1>[subject_id]:[number] <col2>[hadm_id]:[number] <col3>[startdate]:[time] <col4>[enddate]:[time] <col5>[drug]:[text] <col6>[dose_val_rx]:[text] <col7>[dose_unit_rx]:[text] <col8>[route]:[text] } <table1>[icustays] { <col0>[row_id]:[number] <col1>[subject_id]:[numbe...
SELECT DISTINCT `<table10>`.`<table10>` FROM `<table10>` WHERE `<table10>`.event_type = '`<table12>`' AND `<table10>`.event_id IN ( SELECT `<table12>`.row_id FROM `<table12>` WHERE `<table12>`.itemid IN ( SELECT `<table16>`.itemid FROM `<table16>` WHERE `<table16>`.label = 'cd3 %' ) )
how much does it cost to have a cd3 % lab test.
<table0>[borders] { <col0>[Country1]:[text] <col1>[Country2]:[text] <col2>[Length]:[real] } <table1>[city] { <col0>[text]:[Country] <col1>[text]:[Province] <col2>[text]:[Population] <col3>[integer]:[Longitude] <col4>[real]:[Latitude] } <table2>[continent] { <col0>[text]:[Area] } <table3>[country] { <col0>[text]:[Cod...
SELECT Country, Name FROM `<table7>` AS T1 WHERE Percentage < 100 AND Percentage = ( SELECT MAX( Percentage ) FROM `<table7>` AS T2 WHERE T1.Country = T2.Country )
In countries where there is more than one ethnic group, name the ethnic group with the greatest presence in each country and the country to which it corresponds.
<table0>[portland_housing] { <col0>[INT]:[type] <col1>[VARCHAR]:[price] <col2>[INT]:[wheelchair_access] <col3>[BOOLEAN]:[INSERT] }
SELECT * FROM `<table0>` WHERE type = 'affordable' AND wheelchair_access = true;
Identify the wheelchair-accessible and affordable housing units in Portland.
<table0>[lapTimes] { <col0>[raceId]:[INTEGER] <col1>[driverId]:[INTEGER] <col2>[lap]:[INTEGER] <col3>[position]:[INTEGER] <col4>[time]:[TEXT] <col5>[milliseconds]:[INTEGER] } <table1>[circuits] { <col0>[circuitId]:[INTEGER] <col1>[circuitRef]:[TEXT] <col2>[name]:[TEXT] <col3>[location]:[TEXT] <col4>[country]:[TEXT] <c...
SELECT name, COUNT( `<col4>` ) FROM `<table4>` WHERE `<col1>` BETWEEN 2009 AND 2011 GROUP BY `<col4>` ORDER BY COUNT( `<col4>` )
A bar chart for what are the number of the names of all races held between 2009 and 2011?, could you sort by the Y-axis in ascending?
<table0>[table_name_59] { <col0>[VARCHAR]:[lead] }
SELECT third FROM `<table0>` WHERE lead = "holger höhne"
When did holger höhne come in third?
<table0>[table_26556] { <col0>[series]:[real] <col1>[season]:[real] <col2>[Title]:[text] <col3>[Directed]:[text] <col4>[Written]:[text] <col5>[Original]:[air] <col6>[date]:[text] <col7>[Production]:[code] }
SELECT COUNT( "Directed by" ) FROM `<table0>` WHERE "Title" = 'Odd Man In'
How many people directed 'odd man in'?
<table0>[Funding] { <col0>[program_name]:[VARCHAR] <col1>[255]:[funding_source] <col2>[VARCHAR]:[255] <col3>[amount_received]:[DECIMAL] }
SELECT SUM( `<col3>` ) FROM `<table0>` WHERE `<col0>` = 'Music for the Community' AND funding_source = 'Private Donor';
What is the total funding received by 'Music for the Community' from private sources?
<table0>[ingredients] { <col0>[INT]:[dish] <col1>[TEXT]:[ingredient] <col2>[TEXT]:[cost] <col3>[FLOAT]:[INSERT] }
SELECT SUM( cost ) FROM ingredients;
What is the total cost of ingredients for all dishes in the ingredients table?
<table0>[table_name_2] { <col0>[date]:[VARCHAR] <col1>[tie_no]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "5"
What was the date of tie number 5?
<table0>[demographic] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[name]:[text] <col3>[marital_status]:[text] <col4>[age]:[text] <col5>[dob]:[text] <col6>[gender]:[text] <col7>[language]:[text] <col8>[religion]:[text] <col9>[admission_type]:[text] <col10>[days_stay]:[text] <col11>[insurance]:[text] <col12>...
SELECT COUNT( DISTINCT `<table0>`.subject_id ) FROM `<table0>` WHERE `<table0>`.diagnosis = "SYNCOPE;TELEMETRY" AND `<table0>`.dod_year <= "2179.0"
how many patients whose primary disease was syncope;telemetry died in or before year 2179?
<table0>[vitalperiodic] { <col0>[vitalperiodicid]:[number] <col1>[patientunitstayid]:[number] <col2>[temperature]:[number] <col3>[sao2]:[number] <col4>[heartrate]:[number] <col5>[respiration]:[number] <col6>[systemicsystolic]:[number] <col7>[systemicdiastolic]:[number] <col8>[systemicmean]:[number] <col9>[observationti...
SELECT `<table4>`.`<table4>`name FROM `<table4>` WHERE `<table4>`.`<table3>`unitstayid IN ( SELECT `<table3>`.`<table3>`unitstayid FROM `<table3>` WHERE `<table3>`.`<table3>`healthsystemstayid IN ( SELECT `<table3>`.`<table3>`healthsystemstayid FROM `<table3>` WHERE `<table3>`.uniquepid = '005-46456' ) ) AND DATETIME( ...
what was the last diagnosis for patient 005-46456 in the last year.
<table0>[table_name_66] { <col0>[week]:[VARCHAR] <col1>[opponent]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "detroit lions"
On what Week was the Detroit Lions the Opponent?
<table0>[table_name_20] { <col0>[episodes]:[VARCHAR] <col1>[title]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "jewboy"
what episode is called jewboy
<table0>[disaster_response] { <col0>[hospitals]:[INT] <col1>[name]:[VARCHAR] <col2>[capacity]:[INT] <col3>[location]:[VARCHAR] }
SELECT COUNT( * ) FROM disaster_response.hospitals;
How many hospitals are present in the 'disaster_response' schema?
<table0>[table_name_21] { <col0>[mission]:[VARCHAR] <col1>[date]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "2003 apr 1"
Which Mission is on 2003 apr 1?
<table0>[table_383] { <col0>[District]:[real] <col1>[County]:[Represented] <col2>[text]:[Member] <col3>[Senator]:[text] <col4>[Party]:[text] <col5>[Elected]:[real] <col6>[Committee]:[text] }
SELECT "Member Senator" FROM `<table0>` WHERE "District" = '24'
Who is the senator for district 24?
<table0>[flu_vaccine_distribution] { <col0>[INT]:[PRIMARY] <col1>[KEY]:[hospital_id] <col2>[INT]:[month] <col3>[VARCHAR]:[255] <col4>[quantity_distributed]:[INT] }
INSERT INTO flu_vaccine_distribution ( id, hospital_id, month, quantity_distributed ) VALUES ( 1, 1, 'January', 500 ), ( 2, 1, 'February', 600 ), ( 3, 2, 'January', 700 );
Create a table for storing monthly flu vaccine distribution
<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table2>[demogr...
SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN diagnoses ON `<table2>`.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON `<table2>`.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Alzheimer's disease" AND prescriptions.route = "PO/NG"
how many patients whose diagnoses short title is alzheimer's disease and drug route is po/ng?
<table0>[table_204_429] { <col0>[number]:[battle] <col1>[text]:[location] <col2>[text]:[date] <col3>[text]:[engagement] <col4>[remarks]:[text] <col5>[victor]:[text] }
SELECT "victor" FROM `<table0>` GROUP BY "victor" HAVING COUNT( * ) >= 6
which victor held at least six victories ?
<table0>[table_dev_15] { <col0>[int]:[hemoglobin_a1c_hba1c] <col1>[float]:[hepatic_enzymes] <col2>[bool]:[platelet_count] <col3>[float]:[liver_disease] <col4>[bool]:[hba1c] <col5>[float]:[triglyceride_tg] <col6>[float]:[NOUSE] }
SELECT * FROM `<table0>` WHERE liver_disease = 1 OR hepatic_enzymes = 1
diagnosis of liver disease or hepatic enzymes
<table0>[Catalog_Contents_Additional_Attributes] { <col0>[catalog_entry_id]:[INTEGER] <col1>[catalog_level_number]:[INTEGER] <col2>[attribute_id]:[INTEGER] <col3>[attribute_value]:[VARCHAR] } <table1>[Catalog_Contents] { <col0>[catalog_entry_id]:[INTEGER] <col1>[catalog_level_number]:[INTEGER] <col2>[parent_entry_id]:...
SELECT attribute_name, COUNT( `<col1>` ) FROM `<table4>` AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.attribute_id = t2.attribute_id WHERE t2.attribute_value = 0 GROUP BY `<col1>` ORDER BY `<col1>`
Compute how many attributes in each name of the attribute definitions with attribute value 0 Show the result with a bar chart, sort in ascending by the x axis.
<table0>[locations] { <col0>[LOCATION_ID]:[decimal] <col1>[STREET_ADDRESS]:[varchar] <col2>[POSTAL_CODE]:[varchar] <col3>[CITY]:[varchar] <col4>[STATE_PROVINCE]:[varchar] <col5>[COUNTRY_ID]:[varchar] } <table1>[employees] { <col0>[EMPLOYEE_ID]:[decimal] <col1>[FIRST_NAME]:[varchar] <col2>[LAST_NAME]:[varchar] <col3>[E...
SELECT HIRE_DATE, AVG( `<col7>` ) FROM `<table1>` WHERE NOT `<col10>` IN ( SELECT `<col10>` FROM `<table4>` WHERE `<col9>` BETWEEN 100 AND 200 ) ORDER BY AVG( `<col7>` )
For those employees who do not work in departments with managers that have ids between 100 and 200, find hire_date and the average of salary bin hire_date by time, and visualize them by a bar chart, and order by the Y-axis in ascending.
<table0>[sales] { <col0>[sale_id]:[INT] <col1>[sale_date]:[DATE] <col2>[dish_id]:[INT] <col3>[quantity]:[INT] <col4>[price]:[DECIMAL] }
SELECT SUM( `<col3>` * `<col4>` ) as daily_revenue FROM `<table0>` WHERE `<col1>` BETWEEN DATE_SUB( CURRENT_DATE, INTERVAL 7 DAY ) AND CURRENT_DATE GROUP BY sale_date;
Determine the daily revenue for the past week
<table0>[table_name_55] { <col0>[nationality]:[VARCHAR] <col1>[nhl_team]:[VARCHAR] <col2>[pick__number]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "montreal canadiens" AND `<col2>` = "25"
Which nationality do the Montreal Canadiens belong to with a pick# of 25?
<table0>[table_203_366] { <col0>[number]:[pos] <col1>[number]:[class] <col2>[text]:[number] <col3>[team]:[text] <col4>[drivers]:[text] <col5>[chassis]:[text] <col6>[engine]:[text] <col7>[laps]:[number] }
SELECT "drivers" FROM `<table0>` WHERE "drivers" IN ( 'phil hill', 'richard attwood' ) ORDER BY "laps" DESC LIMIT 1
who completed more laps , phil hill or richard attwood ?
<table0>[table_name_52] { <col0>[crowd]:[VARCHAR] <col1>[home_team]:[VARCHAR] }
SELECT `<col0>` FROM `<table0>` WHERE `<col1>` = "st kilda"
In the game where the home team was St Kilda, what was the attendance?
<table0>[table_204_596] { <col0>[number]:[year] <col1>[number]:[winners] <col2>[text]:[score] <col3>[text]:[runners] <col4>[text]:[notes] }
SELECT MAX( "year" ) FROM `<table0>` WHERE "winners" = 'chasetown'
what was the last year chasetown won ?
<table0>[table_1974443_1] { <col0>[enrollment]:[INTEGER] <col1>[founded]:[VARCHAR] }
SELECT MIN( `<col0>` ) FROM `<table0>` WHERE `<col1>` = 1880
What is the smallest enrollment for institutions founded in exactly 1880?
<table0>[table_1342393_17] { <col0>[incumbent]:[VARCHAR] <col1>[first_elected]:[VARCHAR] }
SELECT COUNT( `<col0>` ) FROM `<table0>` WHERE `<col1>` = 1924
how many incumbent with first elected being 1924
<table0>[table_203_6] { <col0>[number]:[number] <col1>[date]:[text] <col2>[venue]:[text] <col3>[opponent]:[text] <col4>[score]:[text] <col5>[result]:[text] <col6>[competition]:[text] }
SELECT COUNT( * ) FROM `<table0>` WHERE "opponent" = 'san marino'
what were the number of times san marino was an opponent ?
<table0>[treatment] { <col0>[treatmentid]:[number] <col1>[patientunitstayid]:[number] <col2>[treatmentname]:[text] <col3>[treatmenttime]:[time] } <table1>[allergy] { <col0>[allergyid]:[number] <col1>[patientunitstayid]:[number] <col2>[drugname]:[text] <col3>[allergyname]:[text] <col4>[allergytime]:[time] } <table2>[i...
SELECT t1.`<table6>`name FROM ( SELECT `<table6>`.`<table6>`name, DENSE_RANK( ) OVER ( ORDER BY COUNT( * ) DESC ) AS c1 FROM `<table6>` WHERE `<table6>`.`<table5>`unitstayid IN ( SELECT `<table5>`.`<table5>`unitstayid FROM `<table5>` WHERE `<table5>`.age BETWEEN 20 AND 29 ) AND DATETIME( `<table6>`.`<table6>`resulttime...
what were the five most frequently taken lab tests since 2 years ago in patients of age 20s?
<table0>[table_16150] { <col0>[Country]:[text] <col1>[Membership]:[2010] <col2>[real]:[member] <col3>[organization]:[text] <col4>[Year]:[current] <col5>[Scouting]:[organization] <col6>[joined]:[WOSM] <col7>[text]:[Year] <col8>[member]:[organization] <col9>[founded]:[text] <col10>[Admits]:[boys] <col11>[girls]:[text] }...
SELECT "Country" FROM `<table0>` WHERE "Year current `<col5>` `<col3>` `<col6>` WOSM" = '1930' AND "Year `<col8>` `<col3>` was founded" = '1926'
Which countries have a scouting organization that was founded in 1926, and joined WOSM in 1930?
<table0>[diagnoses] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table1>[procedures] { <col0>[subject_id]:[text] <col1>[hadm_id]:[text] <col2>[icd9_code]:[text] <col3>[short_title]:[text] <col4>[long_title]:[text] } <table2>[demogr...
SELECT COUNT( DISTINCT `<table2>`.subject_id ) FROM `<table2>` INNER JOIN diagnoses ON `<table2>`.hadm_id = diagnoses.hadm_id WHERE `<table2>`.admityear < "2195" AND diagnoses.short_title = "Other postop infection"
give me the number of patients whose admission year is less than 2195 and diagnoses short title is other postop infection?