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CREATE TABLE table_76505 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
|
Who manufactured grid 11?
|
SELECT "Manufacturer" FROM table_76505 WHERE "Grid" = '11'
|
SELECT "Manufacturer" FROM "table_76505" WHERE "Grid" = '11'
| 0.058594 |
CREATE TABLE table_2562572_46 (population__2011_ INT, cyrillic_name_other_names VARCHAR)
|
What was the population in 2011 of the settlement with the cyrillic name of ?
|
SELECT MAX(population__2011_) FROM table_2562572_46 WHERE cyrillic_name_other_names = "Ватин"
|
SELECT MAX("population__2011_") FROM "table_2562572_46" WHERE "cyrillic_name_other_names" = "Ватин"
| 0.09668 |
CREATE TABLE table_37453 ("Team" TEXT, "Driver" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
|
What is the lowest laps a grid less than 22 with a time of +35.268 has?
|
SELECT MIN("Laps") FROM table_37453 WHERE "Grid" < '22' AND "Time" = '+35.268'
|
SELECT MIN("Laps") FROM "table_37453" WHERE "Grid" < '22' AND "Time" = '+35.268'
| 0.078125 |
CREATE TABLE genre (g_name VARCHAR, rating VARCHAR, most_popular_in VARCHAR)
CREATE TABLE artist (artist_name VARCHAR, country VARCHAR, gender VARCHAR, preferred_genre VARCHAR)
CREATE TABLE song (song_name VARCHAR, artist_name VARCHAR, country VARCHAR, f_id DECIMAL, genre_is VARCHAR, rating DECIMAL, languages VARCHAR, releasedate DATE, resolution DECIMAL)
CREATE TABLE files (f_id DECIMAL, artist_name VARCHAR, file_size VARCHAR, duration VARCHAR, formats VARCHAR)
|
Draw a bar chart for what is the average rating of songs for each language?, order by the mean rating in desc please.
|
SELECT languages, AVG(rating) FROM song GROUP BY languages ORDER BY AVG(rating) DESC
|
SELECT "languages", AVG("rating") FROM "song" GROUP BY "languages" ORDER BY AVG("rating") DESC NULLS LAST
| 0.102539 |
CREATE TABLE table_name_85 (home VARCHAR, visitor VARCHAR)
|
Who was the home team that played the Lakers?
|
SELECT home FROM table_name_85 WHERE visitor = "lakers"
|
SELECT "home" FROM "table_name_85" WHERE "lakers" = "visitor"
| 0.05957 |
CREATE TABLE table_name_93 (height__cm_ VARCHAR, birthplace VARCHAR)
|
What is the 1999-2000 team, when the Height (cm) is less than 187, and when the Birthplace is Cloquet, Minnesota?
|
SELECT 1999 AS _2000_team FROM table_name_93 WHERE height__cm_ < 187 AND birthplace = "cloquet, minnesota"
|
SELECT 1999 AS "_2000_team" FROM "table_name_93" WHERE "birthplace" = "cloquet, minnesota" AND "height__cm_" < 187
| 0.111328 |
CREATE TABLE table_16751596_2 (poll_source VARCHAR, dates_administered VARCHAR)
|
Name the poll source for july 12, 2008
|
SELECT poll_source FROM table_16751596_2 WHERE dates_administered = "July 12, 2008"
|
SELECT "poll_source" FROM "table_16751596_2" WHERE "July 12, 2008" = "dates_administered"
| 0.086914 |
CREATE TABLE table_49209 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Series" TEXT)
|
What is Score, when Location Attendance is 'Madison Square Garden Unknown', and when High Rebounds is 'Sidney Green (10)'?
|
SELECT "Score" FROM table_49209 WHERE "Location Attendance" = 'madison square garden unknown' AND "High rebounds" = 'sidney green (10)'
|
SELECT "Score" FROM "table_49209" WHERE "High rebounds" = 'sidney green (10)' AND "Location Attendance" = 'madison square garden unknown'
| 0.133789 |
CREATE TABLE table_9767 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
|
What was the date of the game played after week 15?
|
SELECT "Date" FROM table_9767 WHERE "Week" > '15'
|
SELECT "Date" FROM "table_9767" WHERE "Week" > '15'
| 0.049805 |
CREATE TABLE train (Name VARCHAR, Arrival VARCHAR)
|
What are the names and arrival times of trains?
|
SELECT Name, Arrival FROM train
|
SELECT "Name", "Arrival" FROM "train"
| 0.036133 |
CREATE TABLE table_52151 ("Date" TEXT, "Venue" TEXT, "Result" TEXT, "Competition" TEXT, "Goals" FLOAT)
|
In 1948-10-28, what were the lowest Goals in Tehran, Iran?
|
SELECT MIN("Goals") FROM table_52151 WHERE "Venue" = 'tehran, iran' AND "Date" = '1948-10-28'
|
SELECT MIN("Goals") FROM "table_52151" WHERE "Date" = '1948-10-28' AND "Venue" = 'tehran, iran'
| 0.092773 |
CREATE TABLE table_name_52 (format VARCHAR, catalog VARCHAR)
|
For the catalog title DP068-07, what formats are available?
|
SELECT format FROM table_name_52 WHERE catalog = "dp068-07"
|
SELECT "format" FROM "table_name_52" WHERE "catalog" = "dp068-07"
| 0.063477 |
CREATE TABLE table_204_54 (id DECIMAL, "pondicherry assembly" TEXT, "duration" TEXT, "name of m.l.a." TEXT, "party affiliation" TEXT, "election year" DECIMAL)
|
was v. vaithilingam a member of the indian national congress or the janata party ?
|
SELECT "party affiliation" FROM table_204_54 WHERE "name of m.l.a." = 'v. vaithilingam'
|
SELECT "party affiliation" FROM "table_204_54" WHERE "name of m.l.a." = 'v. vaithilingam'
| 0.086914 |
CREATE TABLE table_28848697_4 (goals_against VARCHAR, goals_scored VARCHAR)
|
What is the goals against listed when the goals scored is 30?
|
SELECT goals_against FROM table_28848697_4 WHERE goals_scored = 30
|
SELECT "goals_against" FROM "table_28848697_4" WHERE "goals_scored" = 30
| 0.070313 |
CREATE TABLE table_name_66 (road_team VARCHAR, game VARCHAR)
|
Name Road Team of Game of game 4?
|
SELECT road_team FROM table_name_66 WHERE game = "game 4"
|
SELECT "road_team" FROM "table_name_66" WHERE "game 4" = "game"
| 0.061523 |
CREATE TABLE table_name_79 (winner VARCHAR, score VARCHAR)
|
Who was the winner with a score of 7 6 (7 3) , 2 6, [10 6]?
|
SELECT winner FROM table_name_79 WHERE score = "7–6 (7–3) , 2–6, [10–6]"
|
SELECT "winner" FROM "table_name_79" WHERE "7–6 (7–3) , 2–6, [10–6]" = "score"
| 0.076172 |
CREATE TABLE table_45361 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Location" TEXT)
|
What is Event, when Method is 'Submission (Armbar)', and when Opponent is 'Jason St. Louis'?
|
SELECT "Event" FROM table_45361 WHERE "Method" = 'submission (armbar)' AND "Opponent" = 'jason st. louis'
|
SELECT "Event" FROM "table_45361" WHERE "Method" = 'submission (armbar)' AND "Opponent" = 'jason st. louis'
| 0.104492 |
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
|
Give me the comparison about meter_100 over the Time by a bar chart, show in ascending by the total number.
|
SELECT Time, meter_100 FROM swimmer ORDER BY meter_100
|
SELECT "Time", "meter_100" FROM "swimmer" ORDER BY "meter_100" NULLS FIRST
| 0.072266 |
CREATE TABLE table_74766 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
|
What was the score of the Browns week 4 game?
|
SELECT "Result" FROM table_74766 WHERE "Week" = '4'
|
SELECT "Result" FROM "table_74766" WHERE "Week" = '4'
| 0.051758 |
CREATE TABLE table_31974 ("Party" TEXT, "PR seats" FLOAT, "District seats" FLOAT, "Total Elected 2001" TEXT, "Total Seats" FLOAT)
|
Who had the highest total PR seats of 48 with a District seat larger than than 73?
|
SELECT MAX("Total Seats") FROM table_31974 WHERE "PR seats" = '48' AND "District seats" > '73'
|
SELECT MAX("Total Seats") FROM "table_31974" WHERE "District seats" > '73' AND "PR seats" = '48'
| 0.09375 |
CREATE TABLE table_23449363_1 (round VARCHAR, new_entries_this_round VARCHAR)
|
Which round had 24 new entries?
|
SELECT round FROM table_23449363_1 WHERE new_entries_this_round = "24"
|
SELECT "round" FROM "table_23449363_1" WHERE "24" = "new_entries_this_round"
| 0.074219 |
CREATE TABLE table_42526 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
Which Team has a Score of 108-105 (ot)?
|
SELECT "Team" FROM table_42526 WHERE "Score" = '108-105 (ot)'
|
SELECT "Team" FROM "table_42526" WHERE "Score" = '108-105 (ot)'
| 0.061523 |
CREATE TABLE table_26752 ("Year" FLOAT, "Tournaments played" FLOAT, "Cuts made" FLOAT, "Wins" FLOAT, "2nd" FLOAT, "3rd" FLOAT, "Top 10s" FLOAT, "Best finish" TEXT, "Earnings ( $ ) " FLOAT, "Money list rank" FLOAT, "Scoring average" TEXT, "Scoring rank" FLOAT)
|
What is the lowest overall amount of times they've been in 3rd?
|
SELECT MIN("3rd") FROM table_26752
|
SELECT MIN("3rd") FROM "table_26752"
| 0.035156 |
CREATE TABLE customer (cust_id TEXT, cust_name TEXT, acc_type TEXT, acc_bal DECIMAL, no_of_loans DECIMAL, credit_score DECIMAL, branch_id DECIMAL, state TEXT)
CREATE TABLE loan (loan_id TEXT, loan_type TEXT, cust_id TEXT, branch_id TEXT, amount DECIMAL)
CREATE TABLE bank (branch_id DECIMAL, bname TEXT, no_of_customers DECIMAL, city TEXT, state TEXT)
|
Find the name of customers who have loans of both Mortgages and Auto.
|
SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Mortgages' INTERSECT SELECT T1.cust_name FROM customer AS T1 JOIN loan AS T2 ON T1.cust_id = T2.cust_id WHERE loan_type = 'Auto'
|
SELECT "T1"."cust_name" FROM "customer" AS "T1" JOIN "loan" AS "T2" ON "T1"."cust_id" = "T2"."cust_id" WHERE "loan_type" = 'Mortgages' INTERSECT SELECT "T1"."cust_name" FROM "customer" AS "T1" JOIN "loan" AS "T2" ON "T1"."cust_id" = "T2"."cust_id" WHERE "loan_type" = 'Auto'
| 0.267578 |
CREATE TABLE table_name_61 (per_capita_income VARCHAR, median_family_income VARCHAR)
|
What is the per capita income of the county with a median family income of $40,492?
|
SELECT per_capita_income FROM table_name_61 WHERE median_family_income = "$40,492"
|
SELECT "per_capita_income" FROM "table_name_61" WHERE "$40,492" = "median_family_income"
| 0.085938 |
CREATE TABLE table_name_44 (format VARCHAR, branding VARCHAR)
|
What format is Premi re Cha ne?
|
SELECT format FROM table_name_44 WHERE branding = "première chaîne"
|
SELECT "format" FROM "table_name_44" WHERE "branding" = "première chaîne"
| 0.071289 |
CREATE TABLE table_name_89 (opponent VARCHAR, location VARCHAR)
|
Who was the opposing team during a game in the Pontiac Silverdome?
|
SELECT opponent FROM table_name_89 WHERE location = "pontiac silverdome"
|
SELECT "opponent" FROM "table_name_89" WHERE "location" = "pontiac silverdome"
| 0.076172 |
CREATE TABLE table_46513 ("Event" TEXT, "Score" FLOAT, "Name" TEXT, "Nation" TEXT, "Games" TEXT, "Date" TEXT)
|
Who has the event of 36 arrow finals?
|
SELECT "Name" FROM table_46513 WHERE "Event" = '36 arrow finals'
|
SELECT "Name" FROM "table_46513" WHERE "Event" = '36 arrow finals'
| 0.064453 |
CREATE TABLE table_3005915_3 (poles INT)
|
What is the minimum number of poles?
|
SELECT MIN(poles) FROM table_3005915_3
|
SELECT MIN("poles") FROM "table_3005915_3"
| 0.041016 |
CREATE TABLE table_79965 ("Year" FLOAT, "Tournament" TEXT, "Venue" TEXT, "Result" TEXT, "Extra" TEXT)
|
Where was the 1984 Olympics hosted?
|
SELECT "Tournament" FROM table_79965 WHERE "Year" = '1984'
|
SELECT "Tournament" FROM "table_79965" WHERE "Year" = '1984'
| 0.058594 |
CREATE TABLE table_name_73 (laps INT, rank VARCHAR)
|
What is the highest laps of the year when the rank was 14?
|
SELECT MAX(laps) FROM table_name_73 WHERE rank = "14"
|
SELECT MAX("laps") FROM "table_name_73" WHERE "14" = "rank"
| 0.057617 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
|
how many times patient 006-50368 the last year visited the hospital.
|
SELECT COUNT(DISTINCT patient.patienthealthsystemstayid) FROM patient WHERE patient.uniquepid = '006-50368' AND DATETIME(patient.hospitaladmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
|
SELECT COUNT(DISTINCT "patient"."patienthealthsystemstayid") FROM "patient" WHERE "patient"."uniquepid" = '006-50368' AND DATETIME("patient"."hospitaladmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
| 0.227539 |
CREATE TABLE Financial_Transactions (transaction_id INT, account_id INT, invoice_number INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DECIMAL, transaction_comment VARCHAR, other_transaction_details VARCHAR)
CREATE TABLE Invoices (invoice_number INT, order_id INT, invoice_date DATETIME)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT, product_quantity VARCHAR, other_order_item_details VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_middle_initial VARCHAR, customer_last_name VARCHAR, gender VARCHAR, email_address VARCHAR, login_name VARCHAR, login_password VARCHAR, phone_number VARCHAR, town_city VARCHAR, state_county_province VARCHAR, country VARCHAR)
CREATE TABLE Products (product_id INT, parent_product_id INT, production_type_code VARCHAR, unit_price DECIMAL, product_name VARCHAR, product_color VARCHAR, product_size VARCHAR)
CREATE TABLE Accounts (account_id INT, customer_id INT, date_account_opened DATETIME, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Invoice_Line_Items (order_item_id INT, invoice_number INT, product_id INT, product_title VARCHAR, product_quantity VARCHAR, product_price DECIMAL, derived_product_cost DECIMAL, derived_vat_payable DECIMAL, derived_total_cost DECIMAL)
CREATE TABLE Orders (order_id INT, customer_id INT, date_order_placed DATETIME, order_details VARCHAR)
CREATE TABLE Product_Categories (production_type_code VARCHAR, product_type_description VARCHAR, vat_rating DECIMAL)
|
plot scatter on how many order items correspond to each order id?
|
SELECT order_id, COUNT(*) FROM Order_Items GROUP BY order_id
|
SELECT "order_id", COUNT(*) FROM "Order_Items" GROUP BY "order_id"
| 0.064453 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
provide the number of patients whose primary disease is newborn and year of death is less than or equal to 2112?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "NEWBORN" AND demographic.dod_year <= "2112.0"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2112.0" >= "demographic"."dod_year" AND "NEWBORN" = "demographic"."diagnosis"
| 0.149414 |
CREATE TABLE Person (name VARCHAR, age INT, city TEXT, gender TEXT, job TEXT)
CREATE TABLE PersonFriend (name VARCHAR, friend VARCHAR, year INT)
|
Who has friends that are older than the average age? Print their friends and their ages as well using a bar chart, and display by the Y-axis from high to low.
|
SELECT friend, age FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T1.age > (SELECT AVG(age) FROM Person) ORDER BY age DESC
|
SELECT "friend", "age" FROM "Person" AS "T1" JOIN "PersonFriend" AS "T2" ON "T1"."name" = "T2"."friend" WHERE "T1"."age" > (SELECT AVG("age") FROM "Person") ORDER BY "age" DESC NULLS LAST
| 0.182617 |
CREATE TABLE table_61536 ("Year" FLOAT, "Competition" TEXT, "Venue" TEXT, "Position" TEXT, "Notes" TEXT)
|
What is the earliest year the world junior championships has 1500 m notes?
|
SELECT MIN("Year") FROM table_61536 WHERE "Notes" = '1500 m' AND "Competition" = 'world junior championships'
|
SELECT MIN("Year") FROM "table_61536" WHERE "Competition" = 'world junior championships' AND "Notes" = '1500 m'
| 0.108398 |
CREATE TABLE table_66876 ("Sunday Sunna/S\\u00f3l" TEXT, "Monday Mona/ M\\u00e1ni" TEXT, "Tuesday Tiw/ Tyr" TEXT, "Wednesday Woden / Odin" TEXT, "Thursday Thunor / Thor" TEXT, "Friday Frige or Freya" TEXT, "Saturday Saturn" TEXT)
|
Which Monday Mona/Mani also had a Thursday Thunor/Thor of Tongersdei?
|
SELECT "Monday Mona/ M\u00e1ni" FROM table_66876 WHERE "Thursday Thunor / Thor" = 'tongersdei'
|
SELECT "Monday Mona/ M\u00e1ni" FROM "table_66876" WHERE "Thursday Thunor / Thor" = 'tongersdei'
| 0.09375 |
CREATE TABLE table_name_47 (enrollment INT, nickname VARCHAR)
|
What is the average enrollment of the Redbirds' school?
|
SELECT AVG(enrollment) FROM table_name_47 WHERE nickname = "redbirds"
|
SELECT AVG("enrollment") FROM "table_name_47" WHERE "nickname" = "redbirds"
| 0.073242 |
CREATE TABLE table_51285 ("Pick #" FLOAT, "Player" TEXT, "Nationality" TEXT, "Position" TEXT, "League from" TEXT)
|
What player from the United States played in the western collegiate hockey association?
|
SELECT "Player" FROM table_51285 WHERE "Nationality" = 'united states' AND "League from" = 'western collegiate hockey association'
|
SELECT "Player" FROM "table_51285" WHERE "League from" = 'western collegiate hockey association' AND "Nationality" = 'united states'
| 0.128906 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
what is average age of patients whose primary disease is squamous cell carcinoma oral tongue/sda and days of hospital stay is 5?
|
SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA" AND demographic.days_stay = "5"
|
SELECT AVG("demographic"."age") FROM "demographic" WHERE "5" = "demographic"."days_stay" AND "SQUAMOUS CELL CARCINOMA ORAL TONGUE/SDA" = "demographic"."diagnosis"
| 0.158203 |
CREATE TABLE table_13258 ("Township" TEXT, "County" TEXT, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " FLOAT, "Water ( sqmi ) " FLOAT, "Latitude" FLOAT, "Longitude" FLOAT, "GEO ID" FLOAT, "ANSI code" FLOAT)
|
What is the average 2010 population having longitude over -102.353035, latitude over 46.937841, and 0.034 sqmi of water?
|
SELECT AVG("Pop. (2010)") FROM table_13258 WHERE "Longitude" > '-102.353035' AND "Latitude" > '46.937841' AND "Water (sqmi)" = '0.034'
|
SELECT AVG("Pop. (2010)") FROM "table_13258" WHERE "Latitude" > '46.937841' AND "Longitude" > '-102.353035' AND "Water (sqmi)" = '0.034'
| 0.132813 |
CREATE TABLE table_name_32 (image_quality VARCHAR, date VARCHAR, multiple_sessions VARCHAR, authentication VARCHAR)
|
what is the image quality when the multiple sessions is x, the authentication is and the date is may 15, 2007?
|
SELECT image_quality FROM table_name_32 WHERE multiple_sessions = "x" AND authentication = "✓" AND date = "may 15, 2007"
|
SELECT "image_quality" FROM "table_name_32" WHERE "authentication" = "✓" AND "date" = "may 15, 2007" AND "multiple_sessions" = "x"
| 0.126953 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
|
For all employees who have the letters D or S in their first name, show me about the distribution of hire_date and the sum of salary bin hire_date by time in a bar chart.
|
SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%'
| 0.104492 |
CREATE TABLE Ship (Ship_ID INT, Name TEXT, Type TEXT, Built_Year FLOAT, Class TEXT, Flag TEXT)
CREATE TABLE captain (Captain_ID INT, Name TEXT, Ship_ID INT, age TEXT, Class TEXT, Rank TEXT)
|
Tell me the relationship between average and minimum age of captains in each class. Give a scatter plot.
|
SELECT AVG(age), MIN(age) FROM captain GROUP BY Class
|
SELECT AVG("age"), MIN("age") FROM "captain" GROUP BY "Class"
| 0.05957 |
CREATE TABLE table_name_7 (result VARCHAR, year VARCHAR, location VARCHAR)
|
what is the result for 1970 at yankee stadium?
|
SELECT result FROM table_name_7 WHERE year = 1970 AND location = "yankee stadium"
|
SELECT "result" FROM "table_name_7" WHERE "location" = "yankee stadium" AND "year" = 1970
| 0.086914 |
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
|
select count(*) from Users.
|
SELECT COUNT(*) FROM Users
|
SELECT COUNT(*) FROM "Users"
| 0.027344 |
CREATE TABLE Customer_Orders (order_id INT, customer_id INT, order_status_code VARCHAR, order_date DATETIME)
CREATE TABLE Department_Stores (dept_store_id INT, dept_store_chain_id INT, store_name VARCHAR, store_address VARCHAR, store_phone VARCHAR, store_email VARCHAR)
CREATE TABLE Departments (department_id INT, dept_store_id INT, department_name VARCHAR)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT)
CREATE TABLE Staff (staff_id INT, staff_gender VARCHAR, staff_name VARCHAR)
CREATE TABLE Staff_Department_Assignments (staff_id INT, department_id INT, date_assigned_from DATETIME, job_title_code VARCHAR, date_assigned_to DATETIME)
CREATE TABLE Customer_Addresses (customer_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Addresses (address_id INT, address_details VARCHAR)
CREATE TABLE Product_Suppliers (product_id INT, supplier_id INT, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR, total_value_purchased DECIMAL)
CREATE TABLE Department_Store_Chain (dept_store_chain_id INT, dept_store_chain_name VARCHAR)
CREATE TABLE Supplier_Addresses (supplier_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Suppliers (supplier_id INT, supplier_name VARCHAR, supplier_phone VARCHAR)
CREATE TABLE Products (product_id INT, product_type_code VARCHAR, product_name VARCHAR, product_price DECIMAL)
CREATE TABLE Customers (customer_id INT, payment_method_code VARCHAR, customer_code VARCHAR, customer_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR)
|
How many customers use each payment method, list x axis in ascending order.
|
SELECT payment_method_code, COUNT(*) FROM Customers GROUP BY payment_method_code ORDER BY payment_method_code
|
SELECT "payment_method_code", COUNT(*) FROM "Customers" GROUP BY "payment_method_code" ORDER BY "payment_method_code" NULLS FIRST
| 0.125977 |
CREATE TABLE table_71540 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" TEXT)
|
What was the attendance at the game that had a loss of Mercker (3-1)?
|
SELECT "Attendance" FROM table_71540 WHERE "Loss" = 'mercker (3-1)'
|
SELECT "Attendance" FROM "table_71540" WHERE "Loss" = 'mercker (3-1)'
| 0.067383 |
CREATE TABLE table_name_73 (position VARCHAR, points VARCHAR, goals_for VARCHAR)
|
How many positions have Points of 30-8 and more than 25 goals?
|
SELECT COUNT(position) FROM table_name_73 WHERE points = "30-8" AND goals_for > 25
|
SELECT COUNT("position") FROM "table_name_73" WHERE "30-8" = "points" AND "goals_for" > 25
| 0.087891 |
CREATE TABLE table_57384 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
|
I want the Grid for Laps of 35
|
SELECT "Grid" FROM table_57384 WHERE "Laps" = '35'
|
SELECT "Grid" FROM "table_57384" WHERE "Laps" = '35'
| 0.050781 |
CREATE TABLE table_39967 ("Date" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" FLOAT)
|
When the venue was A and the date was 2 january 2008, what was the average attendance?
|
SELECT AVG("Attendance") FROM table_39967 WHERE "Venue" = 'a' AND "Date" = '2 january 2008'
|
SELECT AVG("Attendance") FROM "table_39967" WHERE "Date" = '2 january 2008' AND "Venue" = 'a'
| 0.09082 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the average of department_id over the hire_date bin hire_date by weekday.
|
SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100)
| 0.175781 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
|
For all employees in the same department as Clara excluding Clara, bin their hire date into the month interval, and count how many employees in each month for a bar chart.
|
SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE DEPARTMENT_ID = (SELECT DEPARTMENT_ID FROM employees WHERE FIRST_NAME = "Clara") AND FIRST_NAME <> "Clara"
|
SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE "Clara" <> "FIRST_NAME" AND "DEPARTMENT_ID" = (SELECT "DEPARTMENT_ID" FROM "employees" WHERE "Clara" = "FIRST_NAME")
| 0.173828 |
CREATE TABLE table_29069 ("Date" TEXT, "Time" TEXT, "Visiting team" TEXT, "Home team" TEXT, "Site" TEXT, "Broadcast" TEXT, "Result" TEXT, "Attendance" FLOAT)
|
What home team is at 7:30pm in ESPN?
|
SELECT "Home team" FROM table_29069 WHERE "Time" = '7:30pm' AND "Broadcast" = 'ESPN'
|
SELECT "Home team" FROM "table_29069" WHERE "Broadcast" = 'ESPN' AND "Time" = '7:30pm'
| 0.083984 |
CREATE TABLE Payments (Payment_ID INT, Settlement_ID INT, Payment_Method_Code VARCHAR, Date_Payment_Made DATE, Amount_Payment INT)
CREATE TABLE Customer_Policies (Policy_ID INT, Customer_ID INT, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Settlements (Settlement_ID INT, Claim_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT, Customer_Policy_ID INT)
CREATE TABLE Claims (Claim_ID INT, Policy_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT)
CREATE TABLE Customers (Customer_ID INT, Customer_Details VARCHAR)
|
Create a bar chart showing the number of date claim made across date claim made, I want to sort in descending by the how many date claim made please.
|
SELECT Date_Claim_Made, COUNT(Date_Claim_Made) FROM Settlements ORDER BY COUNT(Date_Claim_Made) DESC
|
SELECT "Date_Claim_Made", COUNT("Date_Claim_Made") FROM "Settlements" ORDER BY COUNT("Date_Claim_Made") DESC NULLS LAST
| 0.116211 |
CREATE TABLE table_56486 ("Grid" FLOAT, "Constructor" TEXT, "Qual" FLOAT, "Rank" FLOAT, "Laps" FLOAT, "Time/Retired" TEXT)
|
What laps have a rank larger than 13 and the Time/Retired is accident, and a Qual smaller than 136.98?
|
SELECT "Laps" FROM table_56486 WHERE "Rank" > '13' AND "Time/Retired" = 'accident' AND "Qual" < '136.98'
|
SELECT "Laps" FROM "table_56486" WHERE "Qual" < '136.98' AND "Rank" > '13' AND "Time/Retired" = 'accident'
| 0.103516 |
CREATE TABLE table_11848 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
|
What was the average grid at the time Vanwall was constructor and there were 17 laps?
|
SELECT AVG("Grid") FROM table_11848 WHERE "Constructor" = 'vanwall' AND "Laps" = '17'
|
SELECT AVG("Grid") FROM "table_11848" WHERE "Constructor" = 'vanwall' AND "Laps" = '17'
| 0.084961 |
CREATE TABLE table_11964154_9 (location_attendance VARCHAR, record VARCHAR)
|
what's the location attendance where record is 14 39
|
SELECT location_attendance FROM table_11964154_9 WHERE record = "14–39"
|
SELECT "location_attendance" FROM "table_11964154_9" WHERE "14–39" = "record"
| 0.075195 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
|
when was the first time during a month before that patient 027-144847 had the maximum value of creatinine?
|
SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-144847')) AND lab.labname = 'creatinine' AND DATETIME(lab.labresulttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') ORDER BY lab.labresult DESC, lab.labresulttime LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-144847' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "lab"."labresulttime" FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'creatinine' AND DATETIME("lab"."labresulttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresult" DESC NULLS LAST, "lab"."labresulttime" NULLS FIRST LIMIT 1
| 0.708984 |
CREATE TABLE table_name_35 (game INT, high_points VARCHAR, team VARCHAR)
|
What is the sum of Game, when High Points is 'D. McKey (24)', and when Team is '@ Dallas Mavericks'?
|
SELECT SUM(game) FROM table_name_35 WHERE high_points = "d. mckey (24)" AND team = "@ dallas mavericks"
|
SELECT SUM("game") FROM "table_name_35" WHERE "@ dallas mavericks" = "team" AND "d. mckey (24)" = "high_points"
| 0.108398 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what are the top three most frequent diagnoses which patients were given within the same month after undergoing non-invasive mech vent since 2105?
|
SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'non-invasive mech vent') AND STRFTIME('%y', procedures_icd.charttime) >= '2105') AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', diagnoses_icd.charttime) >= '2105') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.charttime, 'start of month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 3)
|
WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."icd9_code", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2105'), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'non-invasive mech vent' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" AND DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME("t2"."charttime", 'start of month') WHERE STRFTIME('%y', "procedures_icd"."charttime") >= '2105' GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL
| 1.149414 |
CREATE TABLE table_43501 ("Result" TEXT, "Race" TEXT, "Distance" TEXT, "Weight" FLOAT, "Winner or 2nd" TEXT, "Pos'n" TEXT)
|
What is the result for the distance of 10f, and a winner or 2nd of Lampra?
|
SELECT "Result" FROM table_43501 WHERE "Distance" = '10f' AND "Winner or 2nd" = 'lampra'
|
SELECT "Result" FROM "table_43501" WHERE "Distance" = '10f' AND "Winner or 2nd" = 'lampra'
| 0.087891 |
CREATE TABLE table_50262 ("Tournament" TEXT, "2002" TEXT, "2003" TEXT, "2004" TEXT, "2005" TEXT, "2006" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2010" TEXT, "2011" TEXT, "2012" TEXT)
|
What is the 2003 value for the 2008 grand slam tournaments?
|
SELECT "2003" FROM table_50262 WHERE "2008" = 'grand slam tournaments'
|
SELECT "2003" FROM "table_50262" WHERE "2008" = 'grand slam tournaments'
| 0.070313 |
CREATE TABLE table_12773 ("Position" FLOAT, "Club" TEXT, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
|
Which Played has Goals against larger than 34, and Wins smaller than 12, and Goals for smaller than 50, and Losses larger than 15?
|
SELECT AVG("Played") FROM table_12773 WHERE "Goals against" > '34' AND "Wins" < '12' AND "Goals for" < '50' AND "Losses" > '15'
|
SELECT AVG("Played") FROM "table_12773" WHERE "Goals against" > '34' AND "Goals for" < '50' AND "Losses" > '15' AND "Wins" < '12'
| 0.125977 |
CREATE TABLE table_name_63 (intercontinental_cup_1999 VARCHAR, copa_conmebol_1999 VARCHAR)
|
What is the Intercontinental Cup 1999 result for the team with a Copa Conmebol 1999 result of runner-up?
|
SELECT intercontinental_cup_1999 FROM table_name_63 WHERE copa_conmebol_1999 = "runner-up"
|
SELECT "intercontinental_cup_1999" FROM "table_name_63" WHERE "copa_conmebol_1999" = "runner-up"
| 0.09375 |
CREATE TABLE table_50868 ("Round" TEXT, "Location" TEXT, "Circuit" TEXT, "Date" TEXT, "Winning Driver" TEXT)
|
Which round had a winning driver of Uwe Alzen, at the Sepang International circuit?
|
SELECT "Round" FROM table_50868 WHERE "Winning Driver" = 'uwe alzen' AND "Circuit" = 'sepang international circuit'
|
SELECT "Round" FROM "table_50868" WHERE "Circuit" = 'sepang international circuit' AND "Winning Driver" = 'uwe alzen'
| 0.114258 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
|
how many patients in 2103 received bronchodilator after receiving glucose within 2 months?
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'glucose' AND STRFTIME('%y', treatment.treatmenttime) = '2103') AS t1 JOIN (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'bronchodilator' AND STRFTIME('%y', treatment.treatmenttime) = '2103') AS t2 WHERE t1.treatmenttime < t2.treatmenttime AND DATETIME(t2.treatmenttime) BETWEEN DATETIME(t1.treatmenttime) AND DATETIME(t1.treatmenttime, '+2 month')
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "treatment" AS "treatment_2" ON "treatment"."treatmenttime" < "treatment_2"."treatmenttime" AND "treatment_2"."treatmentname" = 'bronchodilator' AND DATETIME("treatment"."treatmenttime") <= DATETIME("treatment_2"."treatmenttime") AND DATETIME("treatment"."treatmenttime", '+2 month') >= DATETIME("treatment_2"."treatmenttime") AND STRFTIME('%y', "treatment_2"."treatmenttime") = '2103' JOIN "patient" AS "patient_2" ON "patient_2"."patientunitstayid" = "treatment_2"."patientunitstayid" WHERE "treatment"."treatmentname" = 'glucose' AND STRFTIME('%y', "treatment"."treatmenttime") = '2103'
| 0.720703 |
CREATE TABLE table_name_4 (team_1 VARCHAR, team_2 VARCHAR)
|
What team 1 has a team 2 of universidad nacional?
|
SELECT team_1 FROM table_name_4 WHERE team_2 = "universidad nacional"
|
SELECT "team_1" FROM "table_name_4" WHERE "team_2" = "universidad nacional"
| 0.073242 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
let me know the long title of procedure for patient with patient id 2560.
|
SELECT procedures.long_title FROM procedures WHERE procedures.subject_id = "2560"
|
SELECT "procedures"."long_title" FROM "procedures" WHERE "2560" = "procedures"."subject_id"
| 0.088867 |
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
|
COACH class flights on TW from COLUMBUS to ST. PAUL
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, fare_basis, flight, flight_fare WHERE ((CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'COLUMBUS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ST. PAUL' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare_basis.class_type = 'COACH' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id) AND flight.airline_code = 'TW'
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'COLUMBUS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'TW' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ST. PAUL' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'COACH'
| 0.772461 |
CREATE TABLE table_1385 ("Year" FLOAT, "January" TEXT, "February" TEXT, "March" TEXT, "April" TEXT, "May" TEXT, "June" TEXT, "July" TEXT, "August" TEXT, "September" TEXT, "October" TEXT, "November" TEXT, "December" TEXT, "Annual Additions ( in millions ) " TEXT, "Average Monthly Additions ( in millions ) " TEXT)
|
What December is 8.77 in January
|
SELECT "December" FROM table_1385 WHERE "January" = '8.77'
|
SELECT "December" FROM "table_1385" WHERE "January" = '8.77'
| 0.058594 |
CREATE TABLE table_204_555 (id DECIMAL, "year" DECIMAL, "competition" TEXT, "venue" TEXT, "position" TEXT, "event" TEXT, "notes" TEXT)
|
how long did it take martinez to run the 20 km at the central american games in 1994 ?
|
SELECT "notes" FROM table_204_555 WHERE "competition" = 'central american games' AND "year" = 1994
|
SELECT "notes" FROM "table_204_555" WHERE "competition" = 'central american games' AND "year" = 1994
| 0.097656 |
CREATE TABLE table_name_93 (publisher VARCHAR, title VARCHAR)
|
Which publisher has a title of drop dead?
|
SELECT publisher FROM table_name_93 WHERE title = "drop dead"
|
SELECT "publisher" FROM "table_name_93" WHERE "drop dead" = "title"
| 0.06543 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
how many patients are admitted before the year 2162 and diagnosed with icd9 code v1009?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2162" AND diagnoses.icd9_code = "V1009"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "V1009" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2162" > "demographic"."admityear"
| 0.209961 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
give me the age and death status of subject id 4589.
|
SELECT demographic.age, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "4589"
|
SELECT "demographic"."age", "demographic"."expire_flag" FROM "demographic" WHERE "4589" = "demographic"."subject_id"
| 0.113281 |
CREATE TABLE table_203_834 (id DECIMAL, "rank" DECIMAL, "census subdivision" TEXT, "province" TEXT, "type" TEXT, "land area\ ( km2 , 2011 ) " DECIMAL, "population 2011" DECIMAL, "population 2006" DECIMAL, "population 2001" DECIMAL, "population 1996" DECIMAL, "change in % 2006-2011" DECIMAL, "change in % 1996-2011" DECIMAL)
|
of the municipalities with positive population growth in the years 2006-2011 , which had the least growth ?
|
SELECT "census subdivision" FROM table_203_834 WHERE "change in % 2006-2011" > 0 ORDER BY "change in % 2006-2011" LIMIT 1
|
SELECT "census subdivision" FROM "table_203_834" WHERE "change in % 2006-2011" > 0 ORDER BY "change in % 2006-2011" NULLS FIRST LIMIT 1
| 0.131836 |
CREATE TABLE table_622 ("Leg" TEXT, "Stage" TEXT, "Time ( EEST ) " TEXT, "Name" TEXT, "Length" TEXT, "Winner" TEXT, "Time" TEXT, "Avg. spd." TEXT, "Rally leader" TEXT)
|
What is the number of leg for ss17
|
SELECT COUNT("Leg") FROM table_622 WHERE "Stage" = 'SS17'
|
SELECT COUNT("Leg") FROM "table_622" WHERE "Stage" = 'SS17'
| 0.057617 |
CREATE TABLE table_name_57 (week VARCHAR, tournament VARCHAR)
|
What week was the tournament at Cincinnati?
|
SELECT week FROM table_name_57 WHERE tournament = "cincinnati"
|
SELECT "week" FROM "table_name_57" WHERE "cincinnati" = "tournament"
| 0.066406 |
CREATE TABLE table_20453681_1 (mccain_number INT, obama_percentage VARCHAR, others_percentage VARCHAR)
|
What's the number of McCain votes in the county where Obama got 35.7% and others got 1.9% of the votes?
|
SELECT MIN(mccain_number) FROM table_20453681_1 WHERE obama_percentage = "35.7%" AND others_percentage = "1.9%"
|
SELECT MIN("mccain_number") FROM "table_20453681_1" WHERE "1.9%" = "others_percentage" AND "35.7%" = "obama_percentage"
| 0.116211 |
CREATE TABLE Services (service_id INT, organization_id INT, service_type_code CHAR, service_details VARCHAR)
CREATE TABLE Customer_Event_Notes (Customer_Event_Note_ID INT, Customer_Event_ID INT, service_type_code CHAR, resident_id INT, property_id INT, date_moved_in DATETIME)
CREATE TABLE Customers (customer_id INT, customer_details VARCHAR)
CREATE TABLE Residents (resident_id INT, property_id INT, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR)
CREATE TABLE Residents_Services (resident_id INT, service_id INT, date_moved_in DATETIME, property_id INT, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR)
CREATE TABLE Properties (property_id INT, property_type_code CHAR, property_address VARCHAR, other_details VARCHAR)
CREATE TABLE Customer_Events (Customer_Event_ID INT, customer_id INT, date_moved_in DATETIME, property_id INT, resident_id INT, thing_id INT)
CREATE TABLE Things (thing_id INT, organization_id INT, Type_of_Thing_Code CHAR, service_type_code CHAR, service_details VARCHAR)
CREATE TABLE Organizations (organization_id INT, parent_organization_id INT, organization_details VARCHAR)
CREATE TABLE Timed_Status_of_Things (thing_id INT, Date_and_Date DATETIME, Status_of_Thing_Code CHAR)
CREATE TABLE Timed_Locations_of_Things (thing_id INT, Date_and_Time DATETIME, Location_Code CHAR)
|
Please use a bar chart to compare the number of customers of each customer's move in date, note that you should bin move in date into Year interval.
|
SELECT date_moved_in, COUNT(date_moved_in) FROM Customers AS T1 JOIN Customer_Events AS T2 ON T1.customer_id = T2.customer_id
|
SELECT "date_moved_in", COUNT("date_moved_in") FROM "Customers" AS "T1" JOIN "Customer_Events" AS "T2" ON "T1"."customer_id" = "T2"."customer_id"
| 0.141602 |
CREATE TABLE table_6808 ("Name" TEXT, "Position" TEXT, "Number" TEXT, "School/Club Team" TEXT, "Season" TEXT, "Acquisition via" TEXT)
|
What is the name of the player for the 2010-2011 season, from a Free Agency and is Number 14?
|
SELECT "Name" FROM table_6808 WHERE "Season" = '2010-2011' AND "Acquisition via" = 'free agency' AND "Number" = '14'
|
SELECT "Name" FROM "table_6808" WHERE "Acquisition via" = 'free agency' AND "Number" = '14' AND "Season" = '2010-2011'
| 0.115234 |
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE field (fieldid INT)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
|
what conferences are related to sensor fusion
|
SELECT DISTINCT paper.venueid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'sensor fusion' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid
|
SELECT DISTINCT "paper"."venueid" FROM "keyphrase" JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "paper" ON "paper"."paperid" = "paperkeyphrase"."paperid" WHERE "keyphrase"."keyphrasename" = 'sensor fusion'
| 0.243164 |
CREATE TABLE appointment (patient VARCHAR)
CREATE TABLE patient (ssn VARCHAR)
|
what are name and phone number of patients who had more than one appointment?
|
SELECT name, phone FROM appointment AS T1 JOIN patient AS T2 ON T1.patient = T2.ssn GROUP BY T1.patient HAVING COUNT(*) > 1
|
SELECT "name", "phone" FROM "appointment" AS "T1" JOIN "patient" AS "T2" ON "T1"."patient" = "T2"."ssn" GROUP BY "T1"."patient" HAVING COUNT(*) > 1
| 0.143555 |
CREATE TABLE race (Race_ID INT, Name TEXT, Class TEXT, Date TEXT, Track_ID TEXT)
CREATE TABLE track (Track_ID INT, Name TEXT, Location TEXT, Seating FLOAT, Year_Opened FLOAT)
|
Give me a bar chart for the total number of each class, and could you sort from high to low by the y-axis please?
|
SELECT Class, COUNT(*) FROM race GROUP BY Class ORDER BY COUNT(*) DESC
|
SELECT "Class", COUNT(*) FROM "race" GROUP BY "Class" ORDER BY COUNT(*) DESC NULLS LAST
| 0.084961 |
CREATE TABLE table_name_3 (name VARCHAR, overall VARCHAR, team VARCHAR)
|
What is the Name with an overall of less than 123 for the Detroit Lions?
|
SELECT name FROM table_name_3 WHERE overall < 123 AND team = "detroit lions"
|
SELECT "name" FROM "table_name_3" WHERE "detroit lions" = "team" AND "overall" < 123
| 0.082031 |
CREATE TABLE table_name_90 (date VARCHAR, result VARCHAR, opponent VARCHAR)
|
Which date has a Result of 5 0, and an Opponent of tooting & mitcham?
|
SELECT date FROM table_name_90 WHERE result = "5–0" AND opponent = "tooting & mitcham"
|
SELECT "date" FROM "table_name_90" WHERE "5–0" = "result" AND "opponent" = "tooting & mitcham"
| 0.091797 |
CREATE TABLE table_34721 ("Name" TEXT, "Status" TEXT, "Population" FLOAT, "District" TEXT, "Former local authority" TEXT)
|
What is the Status of Mexborough?
|
SELECT "Status" FROM table_34721 WHERE "Name" = 'mexborough'
|
SELECT "Status" FROM "table_34721" WHERE "Name" = 'mexborough'
| 0.060547 |
CREATE TABLE table_203_407 (id DECIMAL, "name" TEXT, "party" TEXT, "province" TEXT, "term expires" DECIMAL, "years in office" TEXT)
|
which party has the most membership ?
|
SELECT "party" FROM table_203_407 GROUP BY "party" ORDER BY COUNT(*) DESC LIMIT 1
|
SELECT "party" FROM "table_203_407" GROUP BY "party" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1
| 0.091797 |
CREATE TABLE table_76368 ("Poll source" TEXT, "Dates administered" TEXT, "Arlen Specter*" TEXT, "Pat Toomey" TEXT, "Tom Ridge*" TEXT, "Peg Luksik" TEXT)
|
Which Poll source has Pat Toomey of 23%?
|
SELECT "Poll source" FROM table_76368 WHERE "Pat Toomey" = '23%'
|
SELECT "Poll source" FROM "table_76368" WHERE "Pat Toomey" = '23%'
| 0.064453 |
CREATE TABLE table_name_77 (tournament VARCHAR)
|
What tournament has 1r as a 2004, and 1r as a 2007?
|
SELECT tournament FROM table_name_77 WHERE 2004 = "1r" AND 2007 = "1r"
|
SELECT "tournament" FROM "table_name_77" WHERE "1r" = 2004 AND "1r" = 2007
| 0.072266 |
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
|
what are the flights from BOSTON to SAN FRANCISCO
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO'
| 0.499023 |
CREATE TABLE table_6541 ("Name" TEXT, "Years" TEXT, "Seasons" FLOAT, "Lost" FLOAT, "Pct." FLOAT)
|
How many Seasons that has Years of 1976 1977?
|
SELECT COUNT("Seasons") FROM table_6541 WHERE "Years" = '1976–1977'
|
SELECT COUNT("Seasons") FROM "table_6541" WHERE "Years" = '1976–1977'
| 0.067383 |
CREATE TABLE table_17334 ("#" FLOAT, "Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Leading scorer" TEXT, "Attendance" TEXT, "Record" TEXT, "Streak" TEXT)
|
What was the result and score of Game #29?
|
SELECT "Score" FROM table_17334 WHERE "#" = '29'
|
SELECT "Score" FROM "table_17334" WHERE "#" = '29'
| 0.048828 |
CREATE TABLE table_65504 ("President" TEXT, "Schl. 1948" TEXT, "Schl. 1962" TEXT, "M-B 1982" TEXT, "CT 1982" TEXT, "Siena 1982" TEXT, "Siena 1990" TEXT, "Siena 1994" TEXT, "R-McI 1996" TEXT, "Schl. 1996" TEXT, "C-SPAN 1999" TEXT, "WSJ 2000" TEXT, "Siena 2002" TEXT, "WSJ 2005" TEXT, "Times 2008**" TEXT, "C-SPAN 2009" TEXT, "Siena 2010" TEXT, "USPC 2011" TEXT, "Aggr." TEXT)
|
what is c-span 2009 when times 2008** is 08?
|
SELECT "C-SPAN 2009" FROM table_65504 WHERE "Times 2008**" = '08'
|
SELECT "C-SPAN 2009" FROM "table_65504" WHERE "Times 2008**" = '08'
| 0.06543 |
CREATE TABLE table_80265 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Pts." TEXT)
|
Which entrant has 4 points and BRM p25 for the Chassis?
|
SELECT "Entrant" FROM table_80265 WHERE "Pts." = '4' AND "Chassis" = 'brm p25'
|
SELECT "Entrant" FROM "table_80265" WHERE "Chassis" = 'brm p25' AND "Pts." = '4'
| 0.078125 |
CREATE TABLE apartment_facilities (apt_id DECIMAL, facility_code TEXT)
CREATE TABLE view_unit_status (apt_id DECIMAL, apt_booking_id DECIMAL, status_date TIME, available_yn others)
CREATE TABLE guests (guest_id DECIMAL, gender_code TEXT, guest_first_name TEXT, guest_last_name TEXT, date_of_birth TIME)
CREATE TABLE apartment_buildings (building_id DECIMAL, building_short_name TEXT, building_full_name TEXT, building_description TEXT, building_address TEXT, building_manager TEXT, building_phone TEXT)
CREATE TABLE apartments (apt_id DECIMAL, building_id DECIMAL, apt_type_code TEXT, apt_number TEXT, bathroom_count DECIMAL, bedroom_count DECIMAL, room_count TEXT)
CREATE TABLE apartment_bookings (apt_booking_id DECIMAL, apt_id DECIMAL, guest_id DECIMAL, booking_status_code TEXT, booking_start_date TIME, booking_end_date TIME)
|
What are the booking start and end dates of the apartments with type code 'Duplex'?
|
SELECT T1.booking_start_date, T1.booking_start_date FROM apartment_bookings AS T1 JOIN apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.apt_type_code = "Duplex"
|
SELECT "T1"."booking_start_date", "T1"."booking_start_date" FROM "apartment_bookings" AS "T1" JOIN "apartments" AS "T2" ON "Duplex" = "T2"."apt_type_code" AND "T1"."apt_id" = "T2"."apt_id"
| 0.183594 |
CREATE TABLE table_name_85 (college VARCHAR, round VARCHAR, player VARCHAR)
|
What is the name of the college that is from a round greater than 3 with Gillis Wilson playing?
|
SELECT college FROM table_name_85 WHERE round > 3 AND player = "gillis wilson"
|
SELECT "college" FROM "table_name_85" WHERE "gillis wilson" = "player" AND "round" > 3
| 0.083984 |
CREATE TABLE table_59114 ("Benalla DFL" TEXT, "Wins" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Byes" FLOAT, "Against" FLOAT)
|
What's the most number of byes for Longwood having less than 1944 against?
|
SELECT MAX("Byes") FROM table_59114 WHERE "Benalla DFL" = 'longwood' AND "Against" < '1944'
|
SELECT MAX("Byes") FROM "table_59114" WHERE "Against" < '1944' AND "Benalla DFL" = 'longwood'
| 0.09082 |
CREATE TABLE table_name_55 (week INT, attendance VARCHAR)
|
Total weeks of 49,980 attendance?
|
SELECT SUM(week) FROM table_name_55 WHERE attendance = 49 OFFSET 980
|
SELECT SUM("week") FROM "table_name_55" WHERE "attendance" = 49 OFFSET 980
| 0.072266 |
CREATE TABLE table_41753 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Years in Orlando" TEXT, "School/Club Team" TEXT)
|
What year did Orlando have a School/Club team in Clemson?
|
SELECT "Years in Orlando" FROM table_41753 WHERE "School/Club Team" = 'clemson'
|
SELECT "Years in Orlando" FROM "table_41753" WHERE "School/Club Team" = 'clemson'
| 0.079102 |
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