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CREATE TABLE table_60678 ("Name" TEXT, "Wikis" TEXT, "Web publishing" TEXT, "Calendaring software" TEXT, "Project Management" TEXT, "Workflow system" TEXT, "Document Management" TEXT, "List Management" TEXT, "XML Forms Management and workflow" TEXT, "Discussion" TEXT, "Blogs" TEXT, "Surveys" TEXT, "Time Tracking" TEXT, "Business Intelligence" TEXT, "Charting" TEXT, "Bookmarking , Tagging , Rating and Comments" TEXT, "Social software" TEXT, "Enterprise search" TEXT, "Office suite" TEXT)
| WHAT IS THE SOCIAL SOFTWARE WITH NO DISCUSSION, NO TIME TRACKING, AND NO CHARTING? | SELECT "Social software" FROM table_60678 WHERE "Discussion" = 'no' AND "Time Tracking" = 'no' AND "Charting" = 'no' | SELECT "Social software" FROM "table_60678" WHERE "Charting" = 'no' AND "Discussion" = 'no' AND "Time Tracking" = 'no' | 0.115234 |
CREATE TABLE table_name_17 (country VARCHAR, player VARCHAR)
| What country is Jack Nicklaus from? | SELECT country FROM table_name_17 WHERE player = "jack nicklaus" | SELECT "country" FROM "table_name_17" WHERE "jack nicklaus" = "player" | 0.068359 |
CREATE TABLE table_23027 ("No." FLOAT, "Country" TEXT, "Local title" TEXT, "Format" TEXT, "Start Date" TEXT, "End Date" TEXT, "Episodes" TEXT, "Premiere/Air Dates" TEXT)
| What's the format of the season that ended on June 25? | SELECT "Format" FROM table_23027 WHERE "End Date" = 'June 25' | SELECT "Format" FROM "table_23027" WHERE "End Date" = 'June 25' | 0.061523 |
CREATE TABLE table_68995 ("Pos." TEXT, "Player" TEXT, "Team" TEXT, "Height" TEXT, "Weight" FLOAT)
| How much does Jonathan Bender weigh? | SELECT "Weight" FROM table_68995 WHERE "Player" = 'jonathan bender' | SELECT "Weight" FROM "table_68995" WHERE "Player" = 'jonathan bender' | 0.067383 |
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 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 Customers (Customer_ID INT, Customer_Details VARCHAR)
| Give me a bar chart that bins the payment date into the day of the week interval and then compute the average amount of each payment categorized by the payment method code, and then sort the bars in ascending order of date. | SELECT Date_Payment_Made, AVG(Amount_Payment) FROM Payments GROUP BY Payment_Method_Code ORDER BY Date_Payment_Made | SELECT "Date_Payment_Made", AVG("Amount_Payment") FROM "Payments" GROUP BY "Payment_Method_Code" ORDER BY "Date_Payment_Made" NULLS FIRST | 0.133789 |
CREATE TABLE table_24099628_1 (tdp VARCHAR, model__list_ VARCHAR)
| What is the wattage/TDP associated with model name 4x0? | SELECT tdp FROM table_24099628_1 WHERE model__list_ = "4x0" | SELECT "tdp" FROM "table_24099628_1" WHERE "4x0" = "model__list_" | 0.063477 |
CREATE TABLE Statements (Id VARCHAR)
| How many statements do we have? | SELECT COUNT(*) FROM Statements | SELECT COUNT(*) FROM "Statements" | 0.032227 |
CREATE TABLE table_name_63 (score VARCHAR, to_par VARCHAR, country VARCHAR)
| What is the Score that has a To standard of 2, and a Country of Spain? | SELECT score FROM table_name_63 WHERE to_par = "–2" AND country = "spain" | SELECT "score" FROM "table_name_63" WHERE "country" = "spain" AND "to_par" = "–2" | 0.079102 |
CREATE TABLE table_train_216 ("id" INT, "gender" TEXT, "hba1c" FLOAT, "body_mass_index_bmi" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
| male and female aged 18 to 60 years | SELECT * FROM table_train_216 WHERE (gender = 'male' OR gender = 'female') AND (age >= 18 AND age <= 60) | SELECT * FROM "table_train_216" WHERE "age" <= 60 AND "age" >= 18 AND ("gender" = 'female' OR "gender" = 'male') | 0.109375 |
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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
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)
| when was the first time patient 23620 had the minimum value of the arterial bp [diastolic]? | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23620)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.valuenum, chartevents.charttime LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 23620 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."valuenum" NULLS FIRST, "chartevents"."charttime" NULLS FIRST LIMIT 1 | 0.774414 |
CREATE TABLE table_2508633_9 (position VARCHAR, college VARCHAR)
| What position was the draft pick that came from Langston? | SELECT position FROM table_2508633_9 WHERE college = "Langston" | SELECT "position" FROM "table_2508633_9" WHERE "Langston" = "college" | 0.067383 |
CREATE TABLE table_31790 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What was the total attendance on December 14, 1975 after week 13? | SELECT COUNT("Attendance") FROM table_31790 WHERE "Date" = 'december 14, 1975' AND "Week" > '13' | SELECT COUNT("Attendance") FROM "table_31790" WHERE "Date" = 'december 14, 1975' AND "Week" > '13' | 0.095703 |
CREATE TABLE table_31878 ("Played in" TEXT, "Matches" TEXT, "Lost" TEXT, "Drawn" TEXT, "Points for" TEXT, "Points against" TEXT)
| How many against points for 16 matches? | SELECT "Points against" FROM table_31878 WHERE "Matches" = '16' | SELECT "Points against" FROM "table_31878" WHERE "Matches" = '16' | 0.063477 |
CREATE TABLE table_1805191_10 (results VARCHAR, incumbent VARCHAR)
| What are the results of incumbent dave weldon? | SELECT COUNT(results) FROM table_1805191_10 WHERE incumbent = "Dave Weldon" | SELECT COUNT("results") FROM "table_1805191_10" WHERE "Dave Weldon" = "incumbent" | 0.079102 |
CREATE TABLE Clients (Client_ID INT, Address_ID INT, Customer_Email_Address VARCHAR, Customer_Name VARCHAR, Customer_Phone VARCHAR, Other_Details VARCHAR)
CREATE TABLE Performers_in_Bookings (Order_ID INT, Performer_ID INT)
CREATE TABLE Products (Product_ID VARCHAR, Product_Name VARCHAR, Product_Price DECIMAL, Product_Description VARCHAR, Other_Product_Service_Details VARCHAR)
CREATE TABLE Bookings (Booking_ID INT, Customer_ID INT, Workshop_Group_ID VARCHAR, Status_Code CHAR, Store_ID INT, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR)
CREATE TABLE Stores (Store_ID VARCHAR, Address_ID INT, Marketing_Region_Code CHAR, Store_Name VARCHAR, Store_Phone VARCHAR, Store_Email_Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Order_Items (Order_Item_ID INT, Order_ID INT, Product_ID INT, Order_Quantity VARCHAR, Other_Item_Details VARCHAR)
CREATE TABLE Invoices (Invoice_ID INT, Order_ID INT, payment_method_code CHAR, Product_ID INT, Order_Quantity VARCHAR, Other_Item_Details VARCHAR, Order_Item_ID INT)
CREATE TABLE Addresses (Address_ID VARCHAR, Line_1 VARCHAR, Line_2 VARCHAR, City_Town VARCHAR, State_County VARCHAR, Other_Details VARCHAR)
CREATE TABLE Customers (Customer_ID VARCHAR, Address_ID INT, Customer_Name VARCHAR, Customer_Phone VARCHAR, Customer_Email_Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Performers (Performer_ID INT, Address_ID INT, Customer_Name VARCHAR, Customer_Phone VARCHAR, Customer_Email_Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR)
CREATE TABLE Bookings_Services (Order_ID INT, Product_ID INT)
CREATE TABLE Invoice_Items (Invoice_Item_ID INT, Invoice_ID INT, Order_ID INT, Order_Item_ID INT, Product_ID INT, Order_Quantity INT, Other_Item_Details VARCHAR)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID INT, Address_ID INT, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR, Store_Phone VARCHAR, Store_Email_Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Services (Service_ID INT, Service_Type_Code CHAR, Workshop_Group_ID INT, Product_Description VARCHAR, Product_Name VARCHAR, Product_Price DECIMAL, Other_Product_Service_Details VARCHAR)
CREATE TABLE Customer_Orders (Order_ID INT, Customer_ID INT, Store_ID INT, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR, Marketing_Region_Descriptrion VARCHAR, Other_Details VARCHAR)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR)
| Show all cities along with the number of drama workshop groups in each city Visualize by bar chart, and rank y-axis in asc order. | SELECT City_Town, COUNT(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town ORDER BY COUNT(*) | SELECT "City_Town", COUNT(*) FROM "Addresses" AS "T1" JOIN "Drama_Workshop_Groups" AS "T2" ON "T1"."Address_ID" = "T2"."Address_ID" GROUP BY "T1"."City_Town" ORDER BY COUNT(*) NULLS FIRST | 0.182617 |
CREATE TABLE table_12002 ("Name" TEXT, "District ( Region ) " TEXT, "Took Office" TEXT, "Left Office" TEXT, "Party" TEXT)
| Fran ois Gendron was in which party? | SELECT "Party" FROM table_12002 WHERE "Name" = 'françois gendron' | SELECT "Party" FROM "table_12002" WHERE "Name" = 'françois gendron' | 0.06543 |
CREATE TABLE phone_market (Market_ID INT, Phone_ID TEXT, Num_of_stock INT)
CREATE TABLE market (Market_ID INT, District TEXT, Num_of_employees INT, Num_of_shops FLOAT, Ranking INT)
CREATE TABLE phone (Name TEXT, Phone_ID INT, Memory_in_G INT, Carrier TEXT, Price FLOAT)
| For each phone, show its names and total number of stocks Visualize by bar chart, and could you sort in ascending by the names? | SELECT Name, SUM(T1.Num_of_stock) FROM phone_market AS T1 JOIN phone AS T2 ON T1.Phone_ID = T2.Phone_ID GROUP BY T2.Name ORDER BY Name | SELECT "Name", SUM("T1"."Num_of_stock") FROM "phone_market" AS "T1" JOIN "phone" AS "T2" ON "T1"."Phone_ID" = "T2"."Phone_ID" GROUP BY "T2"."Name" ORDER BY "Name" NULLS FIRST | 0.169922 |
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost 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_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 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 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| indicate the yearly maximum amount of heart rate for patient 5553 until 11/10/2102. | SELECT MAX(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5553)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND STRFTIME('%y-%m-%d', chartevents.charttime) <= '2102-11-10' GROUP BY STRFTIME('%y', chartevents.charttime) | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5553 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'heart rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT MAX("chartevents"."valuenum") FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m-%d', "chartevents"."charttime") <= '2102-11-10' GROUP BY STRFTIME('%y', "chartevents"."charttime") | 0.790039 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (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 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)
| how many patients whose insurance is government and procedure long title is colonoscopy? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.long_title = "Colonoscopy" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Colonoscopy" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Government" = "demographic"."insurance" | 0.225586 |
CREATE TABLE Fault_Log_Parts (fault_log_entry_id INT, part_fault_id INT, fault_status VARCHAR)
CREATE TABLE Skills_Required_To_Fix (part_fault_id INT, skill_id INT)
CREATE TABLE Staff (staff_id INT, staff_name VARCHAR, gender VARCHAR, other_staff_details VARCHAR)
CREATE TABLE Third_Party_Companies (company_id INT, company_type VARCHAR, company_name VARCHAR, company_address VARCHAR, other_company_details VARCHAR)
CREATE TABLE Asset_Parts (asset_id INT, part_id INT)
CREATE TABLE Skills (skill_id INT, skill_code VARCHAR, skill_description VARCHAR)
CREATE TABLE Engineer_Skills (engineer_id INT, skill_id INT)
CREATE TABLE Assets (asset_id INT, maintenance_contract_id INT, supplier_company_id INT, asset_details VARCHAR, asset_make VARCHAR, asset_model VARCHAR, asset_acquired_date DATETIME, asset_disposed_date DATETIME, other_asset_details VARCHAR)
CREATE TABLE Fault_Log (fault_log_entry_id INT, asset_id INT, recorded_by_staff_id INT, fault_log_entry_datetime DATETIME, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Maintenance_Engineers (engineer_id INT, company_id INT, first_name VARCHAR, last_name VARCHAR, other_details VARCHAR)
CREATE TABLE Parts (part_id INT, part_name VARCHAR, chargeable_yn VARCHAR, chargeable_amount VARCHAR, other_part_details VARCHAR)
CREATE TABLE Part_Faults (part_fault_id INT, part_id INT, fault_short_name VARCHAR, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Engineer_Visits (engineer_visit_id INT, contact_staff_id INT, engineer_id INT, fault_log_entry_id INT, fault_status VARCHAR, visit_start_datetime DATETIME, visit_end_datetime DATETIME, other_visit_details VARCHAR)
CREATE TABLE Maintenance_Contracts (maintenance_contract_id INT, maintenance_contract_company_id INT, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR)
| which parts have more than 2 faults? Show the part name and id, I want to order by the x axis in ascending. | SELECT T1.part_name, T1.part_id FROM Parts AS T1 JOIN Part_Faults AS T2 ON T1.part_id = T2.part_id ORDER BY T1.part_name | SELECT "T1"."part_name", "T1"."part_id" FROM "Parts" AS "T1" JOIN "Part_Faults" AS "T2" ON "T1"."part_id" = "T2"."part_id" ORDER BY "T1"."part_name" NULLS FIRST | 0.15625 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of name and the amount of name , and group by attribute name, and show from high to low by the bars. | SELECT T1.Name, COUNT(T1.Name) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name DESC | SELECT "T1"."Name", COUNT("T1"."Name") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Name" DESC NULLS LAST | 0.181641 |
CREATE TABLE table_45731 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents in the final" TEXT, "Score in the final" TEXT)
| Name the Score which has a Partner of jorge lozano, an Outcome of runner-up, and Opponents in the final of udo riglewski michael stich? | SELECT "Score in the final" FROM table_45731 WHERE "Partner" = 'jorge lozano' AND "Outcome" = 'runner-up' AND "Opponents in the final" = 'udo riglewski michael stich' | SELECT "Score in the final" FROM "table_45731" WHERE "Opponents in the final" = 'udo riglewski michael stich' AND "Outcome" = 'runner-up' AND "Partner" = 'jorge lozano' | 0.164063 |
CREATE TABLE table_204_135 (id DECIMAL, "position" DECIMAL, "club" TEXT, "played" DECIMAL, "points" DECIMAL, "wins" DECIMAL, "draws" DECIMAL, "losses" DECIMAL, "goals for" DECIMAL, "goals against" DECIMAL, "goal difference" DECIMAL)
| which club had 27 point and a goal difference of +1 ? | SELECT "club" FROM table_204_135 WHERE "points" = 27 AND "goal difference" = 1 | SELECT "club" FROM "table_204_135" WHERE "goal difference" = 1 AND "points" = 27 | 0.078125 |
CREATE TABLE table_59942 ("Tournament" TEXT, "2006" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2010" TEXT, "2011" TEXT, "2012" TEXT)
| what is 2008 when the tournament is year end ranking? | SELECT "2008" FROM table_59942 WHERE "Tournament" = 'year end ranking' | SELECT "2008" FROM "table_59942" WHERE "Tournament" = 'year end ranking' | 0.070313 |
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)
| how many patients admitted to emergency were aged below 71? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.age < "71" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "71" > "demographic"."age" AND "EMERGENCY" = "demographic"."admission_type" | 0.146484 |
CREATE TABLE table_1353096_2 (station VARCHAR, city_of_license_market VARCHAR)
| Which station has a license in Fort Collins, Colorado? | SELECT station FROM table_1353096_2 WHERE city_of_license_market = "Fort Collins, Colorado" | SELECT "station" FROM "table_1353096_2" WHERE "Fort Collins, Colorado" = "city_of_license_market" | 0.094727 |
CREATE TABLE table_42286 ("Tournament" TEXT, "1998" TEXT, "1999" TEXT, "2000" TEXT, "2001" TEXT, "2002" TEXT, "2003" TEXT, "2004" TEXT, "2005" TEXT, "2006" TEXT, "2007" TEXT, "2008" TEXT, "2009" TEXT, "2010" TEXT, "2011" TEXT, "2012" TEXT)
| What was 2002, when 2011 was, 'atp masters series'? | SELECT "2002" FROM table_42286 WHERE "2011" = 'atp masters series' | SELECT "2002" FROM "table_42286" WHERE "2011" = 'atp masters series' | 0.066406 |
CREATE TABLE table_15192 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Points" FLOAT)
| What is the average year that the Belanger Motors had an Offenhauser l4 engine? | SELECT AVG("Year") FROM table_15192 WHERE "Engine" = 'offenhauser l4' AND "Entrant" = 'belanger motors' | SELECT AVG("Year") FROM "table_15192" WHERE "Engine" = 'offenhauser l4' AND "Entrant" = 'belanger motors' | 0.102539 |
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
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 month (month_number INT, month_name TEXT)
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 code_description (code VARCHAR, description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
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_fare (flight_id INT, fare_id INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name 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 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code 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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
| what time are flights from DENVER to SAN FRANCISCO on CO | SELECT DISTINCT flight.departure_time 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 = 'DENVER' 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) AND flight.airline_code = 'CO' | SELECT DISTINCT "flight"."departure_time" 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" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'CO' 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' | 0.538086 |
CREATE TABLE table_name_78 (result VARCHAR, date VARCHAR)
| Which Result has a Date of 4 april 1993? | SELECT result FROM table_name_78 WHERE date = "4 april 1993" | SELECT "result" FROM "table_name_78" WHERE "4 april 1993" = "date" | 0.064453 |
CREATE TABLE elimination (elimination_id TEXT, wrestler_id TEXT, team TEXT, eliminated_by TEXT, elimination_move TEXT, time TEXT)
CREATE TABLE wrestler (wrestler_id DECIMAL, name TEXT, reign TEXT, days_held TEXT, location TEXT, event TEXT)
| Which teams had more than 3 eliminations? | SELECT team FROM elimination GROUP BY team HAVING COUNT(*) > 3 | SELECT "team" FROM "elimination" GROUP BY "team" HAVING COUNT(*) > 3 | 0.066406 |
CREATE TABLE table_name_65 (name VARCHAR, channel___bkk__ VARCHAR)
| What's the name of Channel 29 (UHF)? | SELECT name FROM table_name_65 WHERE channel___bkk__ = "29 (uhf)" | SELECT "name" FROM "table_name_65" WHERE "29 (uhf)" = "channel___bkk__" | 0.069336 |
CREATE TABLE ship (ship_id DECIMAL, name TEXT, type TEXT, nationality TEXT, tonnage DECIMAL)
CREATE TABLE mission (mission_id DECIMAL, ship_id DECIMAL, code TEXT, launched_year DECIMAL, location TEXT, speed_knots DECIMAL, fate TEXT)
| Show different types of ships and the average tonnage of ships of each type. | SELECT type, AVG(tonnage) FROM ship GROUP BY type | SELECT "type", AVG("tonnage") FROM "ship" GROUP BY "type" | 0.055664 |
CREATE TABLE table_25914 ("Episode" TEXT, "First broadcast" TEXT, "Seans team" TEXT, "Daves team" TEXT, "Scores" TEXT)
| How many daves team entries are there on 27 october 2006? | SELECT COUNT("Daves team") FROM table_25914 WHERE "First broadcast" = '27 October 2006' | SELECT COUNT("Daves team") FROM "table_25914" WHERE "First broadcast" = '27 October 2006' | 0.086914 |
CREATE TABLE table_name_60 (area__km_2__ VARCHAR, common_of VARCHAR, population VARCHAR)
| How much Area (km 2) has a Common of collegno, and a Population smaller than 50137? | SELECT COUNT(area__km_2__) FROM table_name_60 WHERE common_of = "collegno" AND population < 50137 | SELECT COUNT("area__km_2__") FROM "table_name_60" WHERE "collegno" = "common_of" AND "population" < 50137 | 0.102539 |
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)
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)
| let me know the diagnoses icd9 code for patient with patient id 3343. | SELECT diagnoses.icd9_code FROM diagnoses WHERE diagnoses.subject_id = "3343" | SELECT "diagnoses"."icd9_code" FROM "diagnoses" WHERE "3343" = "diagnoses"."subject_id" | 0.084961 |
CREATE TABLE table_name_89 (race VARCHAR, location VARCHAR)
| Who was the winner of the race in monza? | SELECT race AS Winner FROM table_name_89 WHERE location = "monza" | SELECT "race" AS "Winner" FROM "table_name_89" WHERE "location" = "monza" | 0.071289 |
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
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)
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 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE code_description (code VARCHAR, description 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 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 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_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 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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
| what are the afternoon flights leaving from DALLAS to SAN FRANCISCO on AA | 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 (((flight.departure_time <= 1200 AND flight.departure_time >= 1800) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'AA' | 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" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'AA' AND "flight"."departure_time" <= 1200 AND "flight"."departure_time" >= 1800 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" = 'DALLAS' | 0.607422 |
CREATE TABLE table_14465924_1 (population__people_ VARCHAR, area__km_2__ VARCHAR)
| Name the population of people for area being 24.35 | SELECT population__people_ FROM table_14465924_1 WHERE area__km_2__ = "24.35" | SELECT "population__people_" FROM "table_14465924_1" WHERE "24.35" = "area__km_2__" | 0.081055 |
CREATE TABLE table_name_92 (position VARCHAR, class VARCHAR, laps VARCHAR)
| The driver in class A with 125 laps is in what position? | SELECT position FROM table_name_92 WHERE class = "a" AND laps = 125 | SELECT "position" FROM "table_name_92" WHERE "a" = "class" AND "laps" = 125 | 0.073242 |
CREATE TABLE driverstandings (driverstandingsid DECIMAL, raceid DECIMAL, driverid DECIMAL, points DECIMAL, position DECIMAL, positiontext TEXT, wins DECIMAL)
CREATE TABLE laptimes (raceid DECIMAL, driverid DECIMAL, lap DECIMAL, position DECIMAL, time TEXT, milliseconds DECIMAL)
CREATE TABLE constructorstandings (constructorstandingsid DECIMAL, raceid DECIMAL, constructorid DECIMAL, points DECIMAL, position DECIMAL, positiontext TEXT, wins DECIMAL)
CREATE TABLE results (resultid DECIMAL, raceid DECIMAL, driverid DECIMAL, constructorid DECIMAL, number DECIMAL, grid DECIMAL, position DECIMAL, positiontext TEXT, positionorder DECIMAL, points DECIMAL, laps DECIMAL, time TEXT, milliseconds DECIMAL, fastestlap DECIMAL, rank DECIMAL, fastestlaptime TEXT, fastestlapspeed TEXT, statusid DECIMAL)
CREATE TABLE pitstops (raceid DECIMAL, driverid DECIMAL, stop DECIMAL, lap DECIMAL, time TEXT, duration TEXT, milliseconds DECIMAL)
CREATE TABLE seasons (year DECIMAL, url TEXT)
CREATE TABLE constructors (constructorid DECIMAL, constructorref TEXT, name TEXT, nationality TEXT, url TEXT)
CREATE TABLE drivers (driverid DECIMAL, driverref TEXT, number DECIMAL, code TEXT, forename TEXT, surname TEXT, dob TEXT, nationality TEXT, url TEXT)
CREATE TABLE status (statusid DECIMAL, status TEXT)
CREATE TABLE races (raceid DECIMAL, year DECIMAL, round DECIMAL, circuitid DECIMAL, name TEXT, date TEXT, time TEXT, url TEXT)
CREATE TABLE constructorresults (constructorresultsid DECIMAL, raceid DECIMAL, constructorid DECIMAL, points DECIMAL, status DECIMAL)
CREATE TABLE circuits (circuitid DECIMAL, circuitref TEXT, name TEXT, location TEXT, country TEXT, lat DECIMAL, lng DECIMAL, alt DECIMAL, url TEXT)
CREATE TABLE qualifying (qualifyid DECIMAL, raceid DECIMAL, driverid DECIMAL, constructorid DECIMAL, number DECIMAL, position DECIMAL, q1 TEXT, q2 TEXT, q3 TEXT)
| What is the first and last name of all the German drivers? | SELECT forename, surname FROM drivers WHERE nationality = "German" | SELECT "forename", "surname" FROM "drivers" WHERE "German" = "nationality" | 0.072266 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
| For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of founder and the average of price , and group by attribute founder, could you show y-axis in descending order? | SELECT Founder, AVG(Price) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY AVG(Price) DESC | SELECT "Founder", AVG("Price") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY AVG("Price") DESC NULLS LAST | 0.172852 |
CREATE TABLE table_39787 ("Stake" TEXT, "Organized" TEXT, "Number of Wards/ Branches in Arkansas" FLOAT, "Stake President" TEXT, "Occupation" TEXT)
| What was the stake president when the organized date is April 18, 1965? | SELECT "Stake President" FROM table_39787 WHERE "Organized" = 'april 18, 1965' | SELECT "Stake President" FROM "table_39787" WHERE "Organized" = 'april 18, 1965' | 0.078125 |
CREATE TABLE table_28096 ("Round" FLOAT, "Circuit" TEXT, "Location" TEXT, "Date" TEXT, "Pole position" TEXT, "Fastest lap" TEXT, "Winning driver" TEXT, "Winning team" TEXT)
| How many rounds were played on May 8? | SELECT COUNT("Round") FROM table_28096 WHERE "Date" = 'May 8' | SELECT COUNT("Round") FROM "table_28096" WHERE "Date" = 'May 8' | 0.061523 |
CREATE TABLE table_34562 ("Year" TEXT, "Team" TEXT, "Progress" TEXT, "Score" TEXT, "Opponents" TEXT)
| Which Opponents have a Score of 1 2, and a Team of arsenal, and Progress of first round? | SELECT "Opponents" FROM table_34562 WHERE "Score" = '1–2' AND "Team" = 'arsenal' AND "Progress" = 'first round' | SELECT "Opponents" FROM "table_34562" WHERE "Progress" = 'first round' AND "Score" = '1–2' AND "Team" = 'arsenal' | 0.110352 |
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 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 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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE month (month_number INT, month_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 code_description (code VARCHAR, description 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 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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_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 airline (airline_code VARCHAR, airline_name TEXT, note 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)
| give me the flights for AA from PHILADELPHIA to DALLAS | 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 = 'DALLAS' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.to_airport = AIRPORT_SERVICE_0.airport_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND flight.airline_code = 'AA' | 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" = 'DALLAS' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND "flight"."airline_code" = 'AA' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' | 0.532227 |
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 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)
| how many patients hospital stay is more than 4 days with drug code cita20? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "4" AND prescriptions.formulary_drug_cd = "CITA20" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "CITA20" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "4" < "demographic"."days_stay" | 0.227539 |
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostHistoryTypes (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 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 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 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
| WHERE filtering with dates and a little bit of time. | SELECT * FROM dbo.Posts WHERE CreationDate >= '2018/12/01' | SELECT * FROM "dbo"."Posts" WHERE "CreationDate" >= '2018/12/01' | 0.0625 |
CREATE TABLE table_name_80 (jump_3 VARCHAR, jump_2 VARCHAR)
| Who has a Jump 2 of 7.06, and what is this person's Jump 3? | SELECT jump_3 FROM table_name_80 WHERE jump_2 = "7.06" | SELECT "jump_3" FROM "table_name_80" WHERE "7.06" = "jump_2" | 0.058594 |
CREATE TABLE table_66205 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" TEXT, "Time" TEXT, "Location" TEXT)
| At what time did the opponent Takaichi Hirayama have an event? | SELECT "Time" FROM table_66205 WHERE "Opponent" = 'takaichi hirayama' | SELECT "Time" FROM "table_66205" WHERE "Opponent" = 'takaichi hirayama' | 0.069336 |
CREATE TABLE table_name_1 (origin VARCHAR, abbreviation VARCHAR)
| What's the origin for the country abbreviated atf? | SELECT origin FROM table_name_1 WHERE abbreviation = "atf" | SELECT "origin" FROM "table_name_1" WHERE "abbreviation" = "atf" | 0.0625 |
CREATE TABLE table_name_77 (year VARCHAR, opponent VARCHAR, player VARCHAR)
| What year for geelong player john roberts? | SELECT year FROM table_name_77 WHERE opponent = "geelong" AND player = "john roberts" | SELECT "year" FROM "table_name_77" WHERE "geelong" = "opponent" AND "john roberts" = "player" | 0.09082 |
CREATE TABLE table_68348 ("Round" TEXT, "Kick Off" TEXT, "Opponents" TEXT, "H / A" TEXT, "Result" TEXT, "Attendance" FLOAT, "Report" TEXT)
| What was the kickoff date for the round value of R4? | SELECT "Kick Off" FROM table_68348 WHERE "Round" = 'r4' | SELECT "Kick Off" FROM "table_68348" WHERE "Round" = 'r4' | 0.055664 |
CREATE TABLE table_1157867_2 (name VARCHAR, notes VARCHAR, builder VARCHAR)
| Which locomotives 12' x 17' are both ex-industrial and built by Manning Wardle? | SELECT name FROM table_1157867_2 WHERE notes = "Ex-industrial" AND builder = "Manning Wardle" | SELECT "name" FROM "table_1157867_2" WHERE "Ex-industrial" = "notes" AND "Manning Wardle" = "builder" | 0.098633 |
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 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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose year of death is less than or equal to 2164 and diagnoses icd9 code is 99592? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dod_year <= "2164.0" AND diagnoses.icd9_code = "99592" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "99592" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2164.0" >= "demographic"."dod_year" | 0.211914 |
CREATE TABLE month (month_number INT, month_name 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 airline (airline_code VARCHAR, airline_name TEXT, note 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 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 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_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 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_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
| can you show me fares for 12 16 from OAKLAND to DALLAS one way only | SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND DATE_DAY_1.day_number = 16 AND DATE_DAY_1.month_number = 12 AND DATE_DAY_1.year = 1991 AND DAYS_1.day_name = DATE_DAY_1.day_name AND flight.flight_days = DAYS_1.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'OAKLAND' AND DATE_DAY_0.day_number = 16 AND DATE_DAY_0.month_number = 12 AND DATE_DAY_0.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND fare_basis.basis_days = DAYS_0.days_code 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.from_airport = AIRPORT_SERVICE_0.airport_code) AND fare.round_trip_required = 'NO' | SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" AS "DATE_DAY_0" ON "DATE_DAY_0"."day_number" = 16 AND "DATE_DAY_0"."month_number" = 12 AND "DATE_DAY_0"."year" = 1991 JOIN "date_day" AS "DATE_DAY_1" ON "DATE_DAY_1"."day_number" = 16 AND "DATE_DAY_1"."month_number" = 12 AND "DATE_DAY_1"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'OAKLAND' JOIN "days" AS "DAYS_0" ON "DATE_DAY_0"."day_name" = "DAYS_0"."day_name" JOIN "days" AS "DAYS_1" ON "DATE_DAY_1"."day_name" = "DAYS_1"."day_name" JOIN "fare_basis" ON "DAYS_0"."days_code" = "fare_basis"."basis_days" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "DAYS_1"."days_code" = "flight"."flight_days" 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" = 'DALLAS' JOIN "fare" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."round_trip_required" = 'NO' | 1.236328 |
CREATE TABLE table_name_29 (player VARCHAR, year_s__won VARCHAR)
| What Player won the PGA in 1989? | SELECT player FROM table_name_29 WHERE year_s__won = "1989" | SELECT "player" FROM "table_name_29" WHERE "1989" = "year_s__won" | 0.063477 |
CREATE TABLE table_name_22 (wins VARCHAR, events INT)
| How many wins did he have when he played under 2 events? | SELECT COUNT(wins) FROM table_name_22 WHERE events < 2 | SELECT COUNT("wins") FROM "table_name_22" WHERE "events" < 2 | 0.058594 |
CREATE TABLE table_name_74 (employed VARCHAR, position_held VARCHAR)
| What are the years employed shown for mathematics & prefect master? | SELECT employed FROM table_name_74 WHERE position_held = "mathematics & prefect master" | SELECT "employed" FROM "table_name_74" WHERE "mathematics & prefect master" = "position_held" | 0.09082 |
CREATE TABLE table_203_358 (id DECIMAL, "pos." DECIMAL, "athlete" TEXT, "run 1" DECIMAL, "run 2" DECIMAL, "total" TEXT)
| who finished in first place ? | SELECT "athlete" FROM table_203_358 WHERE "pos." = 1 | SELECT "athlete" FROM "table_203_358" WHERE "pos." = 1 | 0.052734 |
CREATE TABLE dorm_amenity (amenid DECIMAL, amenity_name TEXT)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE dorm (dormid DECIMAL, dorm_name TEXT, student_capacity DECIMAL, gender TEXT)
CREATE TABLE lives_in (stuid DECIMAL, dormid DECIMAL, room_number DECIMAL)
CREATE TABLE has_amenity (dormid DECIMAL, amenid DECIMAL)
| What is the most common amenity in the dorms? | SELECT T1.amenity_name FROM dorm_amenity AS T1 JOIN has_amenity AS T2 ON T1.amenid = T2.amenid GROUP BY T2.amenid ORDER BY COUNT(*) DESC LIMIT 1 | SELECT "T1"."amenity_name" FROM "dorm_amenity" AS "T1" JOIN "has_amenity" AS "T2" ON "T1"."amenid" = "T2"."amenid" GROUP BY "T2"."amenid" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1 | 0.174805 |
CREATE TABLE table_1708050_1 (starts VARCHAR, position VARCHAR)
| Name the starts when position is 16th | SELECT starts FROM table_1708050_1 WHERE position = "16th" | SELECT "starts" FROM "table_1708050_1" WHERE "16th" = "position" | 0.0625 |
CREATE TABLE table_name_22 (laps INT, grid VARCHAR)
| I want the lowest laps that have a grid of 12 | SELECT MIN(laps) FROM table_name_22 WHERE grid = 12 | SELECT MIN("laps") FROM "table_name_22" WHERE "grid" = 12 | 0.055664 |
CREATE TABLE table_27091128_3 (team VARCHAR, replaced_by VARCHAR)
| Which team replaced their manager with Serhat G ller? | SELECT team FROM table_27091128_3 WHERE replaced_by = "Serhat Güller" | SELECT "team" FROM "table_27091128_3" WHERE "Serhat Güller" = "replaced_by" | 0.073242 |
CREATE TABLE table_name_26 (date VARCHAR, attendance VARCHAR)
| When was the game that had 58,025 people in attendance? | SELECT date FROM table_name_26 WHERE attendance = "58,025" | SELECT "date" FROM "table_name_26" WHERE "58,025" = "attendance" | 0.0625 |
CREATE TABLE table_19839391_3 (pitcher VARCHAR, seasons VARCHAR)
| List the pitchers for the 1970 season | SELECT pitcher FROM table_19839391_3 WHERE seasons = "1970" | SELECT "pitcher" FROM "table_19839391_3" WHERE "1970" = "seasons" | 0.063477 |
CREATE TABLE Orders (order_id INT, customer_id INT, date_order_placed DATETIME, order_details VARCHAR)
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 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 Product_Categories (production_type_code VARCHAR, product_type_description VARCHAR, vat_rating DECIMAL)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT, product_quantity VARCHAR, other_order_item_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 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)
| How many accounts are opened in each year? Show a line chart, order in desc by the X. | SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts ORDER BY date_account_opened DESC | SELECT "date_account_opened", COUNT("date_account_opened") FROM "Accounts" ORDER BY "date_account_opened" DESC NULLS LAST | 0.118164 |
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 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 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)
| how many living patients have procedure icd9 code 540? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.icd9_code = "540" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "540" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "0" = "demographic"."expire_flag" | 0.209961 |
CREATE TABLE table_47606 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Record" TEXT)
| Who was the home team in the game with a record of 2-4? | SELECT "Home" FROM table_47606 WHERE "Record" = '2-4' | SELECT "Home" FROM "table_47606" WHERE "Record" = '2-4' | 0.053711 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Show me about the distribution of All_Games and Team_ID in a bar chart, and list Team_ID from low to high order please. | SELECT All_Games, Team_ID FROM basketball_match ORDER BY Team_ID | SELECT "All_Games", "Team_ID" FROM "basketball_match" ORDER BY "Team_ID" NULLS FIRST | 0.082031 |
CREATE TABLE table_27734577_8 (team VARCHAR, score VARCHAR)
| What team has a score of w 110 87 (ot)? | SELECT team FROM table_27734577_8 WHERE score = "W 110–87 (OT)" | SELECT "team" FROM "table_27734577_8" WHERE "W 110–87 (OT)" = "score" | 0.067383 |
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name 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 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 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 state (state_code TEXT, state_name TEXT, country_name 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 time_interval (period TEXT, begin_time INT, end_time INT)
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 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant 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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
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 code_description (code VARCHAR, description TEXT)
| show me flights from BOSTON to DENVER on tuesday | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND date_day.day_number = 22 AND date_day.month_number = 3 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 22 AND "date_day"."month_number" = 3 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" 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" = 'DENVER' | 0.703125 |
CREATE TABLE table_30997 ("Episode" FLOAT, "Date" TEXT, "Official rating 4+" TEXT, "Share 4+" TEXT, "Official rating 16-39" TEXT, "Share 16-39" TEXT)
| When did the official rating 4+ reach 4 633 925? | SELECT "Date" FROM table_30997 WHERE "Official rating 4+" = '4 633 925' | SELECT "Date" FROM "table_30997" WHERE "Official rating 4+" = '4 633 925' | 0.071289 |
CREATE TABLE table_name_54 (october INT, record VARCHAR, game VARCHAR)
| What is the highest date in october for a game number larger than 8 with a record of 4-4-0? | SELECT MAX(october) FROM table_name_54 WHERE record = "4-4-0" AND game > 8 | SELECT MAX("october") FROM "table_name_54" WHERE "4-4-0" = "record" AND "game" > 8 | 0.080078 |
CREATE TABLE table_name_48 (round VARCHAR, overall VARCHAR)
| What number round has an overall of 123? | SELECT round FROM table_name_48 WHERE overall = 123 | SELECT "round" FROM "table_name_48" WHERE "overall" = 123 | 0.055664 |
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
CREATE TABLE Reviewer (rID INT, name TEXT)
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
| Visualize the title and their average smallest ratings of the movie using a bar chart, sort by the title in descending please. | SELECT T2.title, AVG(MIN(T1.stars)) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T2.title ORDER BY T2.title DESC | SELECT "T2"."title", AVG(MIN("T1"."stars")) FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "T2"."title" ORDER BY "T2"."title" DESC NULLS LAST | 0.168945 |
CREATE TABLE table_10024 ("Date" TEXT, "Home" TEXT, "Score" TEXT, "Away" TEXT, "Attendance" FLOAT)
| What is Score, when Home is 'marathon'? | SELECT "Score" FROM table_10024 WHERE "Home" = 'marathon' | SELECT "Score" FROM "table_10024" WHERE "Home" = 'marathon' | 0.057617 |
CREATE TABLE table_19950 ("Competition" TEXT, "Played" FLOAT, "Derby County" FLOAT, "Draw" FLOAT, "Nottingham Forest" FLOAT, "Derby County Goals" FLOAT, "Nottingham Forest Goals" FLOAT)
| Name the most derby county | SELECT MAX("Derby County") FROM table_19950 | SELECT MAX("Derby County") FROM "table_19950" | 0.043945 |
CREATE TABLE table_33629 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
| Who was the away team that scored 7.6 (48)? | SELECT "Away team" FROM table_33629 WHERE "Away team score" = '7.6 (48)' | SELECT "Away team" FROM "table_33629" WHERE "Away team score" = '7.6 (48)' | 0.072266 |
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
| During Spring or Summer term , are there 400 -level classes offered ? | SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'department0' AND course.number BETWEEN 400 AND 400 + 100 AND semester.semester IN ('SP', 'SU', 'SS') AND semester.semester_id = course_offering.semester AND semester.year = 2016 | SELECT DISTINCT "course"."department", "course"."name", "course"."number", "semester"."semester" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" IN ('SP', 'SU', 'SS') AND "semester"."year" = 2016 WHERE "course"."department" = 'department0' AND "course"."number" <= 500 AND "course"."number" >= 400 | 0.432617 |
CREATE TABLE table_27882867_9 (high_points VARCHAR, high_assists VARCHAR)
| How many people had the high points when a. webb (7) had the high assists? | SELECT COUNT(high_points) FROM table_27882867_9 WHERE high_assists = "A. Webb (7)" | SELECT COUNT("high_points") FROM "table_27882867_9" WHERE "A. Webb (7)" = "high_assists" | 0.085938 |
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 diagnoses (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)
| give me the number of s/p hanging primary disease patients who have stayed more than 20 days in hospital. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "S/P HANGING" AND demographic.days_stay > "20" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "20" < "demographic"."days_stay" AND "S/P HANGING" = "demographic"."diagnosis" | 0.149414 |
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
| how many credits does the department offer?, and rank in ascending by the y-axis please. | SELECT DEPT_CODE, SUM(CRS_CREDIT) FROM COURSE GROUP BY DEPT_CODE ORDER BY SUM(CRS_CREDIT) | SELECT "DEPT_CODE", SUM("CRS_CREDIT") FROM "COURSE" GROUP BY "DEPT_CODE" ORDER BY SUM("CRS_CREDIT") NULLS FIRST | 0.108398 |
CREATE TABLE table_5446 ("Pos." FLOAT, "Car #" FLOAT, "Driver" TEXT, "Make" TEXT, "Team" TEXT)
| What team drove a Dodge vehicle? | SELECT "Team" FROM table_5446 WHERE "Make" = 'dodge' | SELECT "Team" FROM "table_5446" WHERE "Make" = 'dodge' | 0.052734 |
CREATE TABLE table_name_40 (k_2_o INT, al_2_o_3 VARCHAR, objects VARCHAR, na_2_o VARCHAR, fe_2_o_3 VARCHAR)
| What is the highest K 2 O, when Na 2 O is greater than 1.87, when Fe 2 O 3 is greater than 0.07, when Objects is Ritual Disk, and when Al 2 O 3 is less than 0.62? | SELECT MAX(k_2_o) FROM table_name_40 WHERE na_2_o > 1.87 AND fe_2_o_3 > 0.07 AND objects = "ritual disk" AND al_2_o_3 < 0.62 | SELECT MAX("k_2_o") FROM "table_name_40" WHERE "al_2_o_3" < 0.62 AND "fe_2_o_3" > 0.07 AND "na_2_o" > 1.87 AND "objects" = "ritual disk" | 0.132813 |
CREATE TABLE table_name_91 (year INT, nominee_s_ VARCHAR)
| That is the total year that Neal Baer is a nominee? | SELECT SUM(year) FROM table_name_91 WHERE nominee_s_ = "neal baer" | SELECT SUM("year") FROM "table_name_91" WHERE "neal baer" = "nominee_s_" | 0.070313 |
CREATE TABLE table_name_85 (assists VARCHAR, pims VARCHAR, goals VARCHAR, points VARCHAR)
| What is the total number of assists of the player with 0 goals, more than 1 points, and more than 0 pims? | SELECT COUNT(assists) FROM table_name_85 WHERE goals = 0 AND points > 1 AND pims > 0 | SELECT COUNT("assists") FROM "table_name_85" WHERE "goals" = 0 AND "pims" > 0 AND "points" > 1 | 0.091797 |
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 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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is the number of patients whose marital status is single and procedure long title is single internal mammary-coronary artery bypass? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "SINGLE" AND procedures.long_title = "Single internal mammary-coronary artery bypass" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Single internal mammary-coronary artery bypass" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status" | 0.260742 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime 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)
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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| what is the five most frequent drugs that were prescribed within 2 months to acute renal failure - etiology unknown female patients aged 30s after having been diagnosed with acute renal failure - etiology unknown, in 2103? | SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute renal failure - etiology unknown' AND STRFTIME('%y', diagnosis.diagnosistime) = '2103') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.gender = 'female' AND patient.age BETWEEN 30 AND 39 AND STRFTIME('%y', medication.drugstarttime) = '2103') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t2.drugstarttime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month') GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5 | WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 39 AND "patient"."age" >= 30 AND "patient"."gender" = 'female' WHERE STRFTIME('%y', "medication"."drugstarttime") = '2103'), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" AS "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("t2"."drugstarttime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("t2"."drugstarttime") WHERE "diagnosis"."diagnosisname" = 'acute renal failure - etiology unknown' AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2103' GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5 | 1.018555 |
CREATE TABLE table_name_31 (college_junior_club_team VARCHAR, position VARCHAR, pick__number VARCHAR)
| What College/junior/club team has a Position of centre, and pick is #22? | SELECT college_junior_club_team FROM table_name_31 WHERE position = "centre" AND pick__number = "22" | SELECT "college_junior_club_team" FROM "table_name_31" WHERE "22" = "pick__number" AND "centre" = "position" | 0.105469 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
| Show me a bar chart for what are the total enrollments of universities of each affiliation type?, list Y-axis in desc order. | SELECT Affiliation, SUM(Enrollment) FROM university GROUP BY Affiliation ORDER BY SUM(Enrollment) DESC | SELECT "Affiliation", SUM("Enrollment") FROM "university" GROUP BY "Affiliation" ORDER BY SUM("Enrollment") DESC NULLS LAST | 0.120117 |
CREATE TABLE table_19259 ("AGR Power Station" TEXT, "Net MWe" FLOAT, "Construction started" FLOAT, "Connected to grid" FLOAT, "Commercial operation" FLOAT, "Accounting closure date" FLOAT)
| What year did construction start at Heysham 1 | SELECT "Construction started" FROM table_19259 WHERE "AGR Power Station" = 'Heysham 1' | SELECT "Construction started" FROM "table_19259" WHERE "AGR Power Station" = 'Heysham 1' | 0.085938 |
CREATE TABLE table_train_247 ("id" INT, "mini_mental_state_examination_mmse" INT, "creatinine_consistently" FLOAT, "creatinine_clearance_cl" FLOAT, "seizure_disorder" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| mini mental status exam score of less than 24 | SELECT * FROM table_train_247 WHERE mini_mental_state_examination_mmse < 24 | SELECT * FROM "table_train_247" WHERE "mini_mental_state_examination_mmse" < 24 | 0.077148 |
CREATE TABLE table_75514 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
| What's the biggest Bronze that has less than 0 Silvers? | SELECT MAX("Bronze") FROM table_75514 WHERE "Silver" < '0' | SELECT MAX("Bronze") FROM "table_75514" WHERE "Silver" < '0' | 0.058594 |
CREATE TABLE table_47398 ("Rank" FLOAT, "Rider" TEXT, "Team" TEXT, "Time" TEXT, "Speed" TEXT)
| What is the rank of rider gary johnson, who had a speed of 120.979 mph? | SELECT "Rank" FROM table_47398 WHERE "Speed" = '120.979 mph' AND "Rider" = 'gary johnson' | SELECT "Rank" FROM "table_47398" WHERE "Rider" = 'gary johnson' AND "Speed" = '120.979 mph' | 0.088867 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
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)
| tell me the age and long title of diagnosis for the patient with patient id 2560. | SELECT demographic.age, diagnoses.long_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "2560" | SELECT "demographic"."age", "diagnoses"."long_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2560" = "demographic"."subject_id" | 0.176758 |
CREATE TABLE table_name_13 (type VARCHAR, date VARCHAR, satellite VARCHAR)
| What is the type of the gps iif-10 satellite with an unknown date? | SELECT type FROM table_name_13 WHERE date = "unknown" AND satellite = "gps iif-10" | SELECT "type" FROM "table_name_13" WHERE "date" = "unknown" AND "gps iif-10" = "satellite" | 0.087891 |
CREATE TABLE table_204_4 (id DECIMAL, "date" TEXT, "race" TEXT, "competition" TEXT, "rider" TEXT, "country" TEXT, "location" TEXT)
| what are the total amount of times italy appears on this chart ? | SELECT COUNT(*) FROM table_204_4 WHERE "country" = 'italy' | SELECT COUNT(*) FROM "table_204_4" WHERE "country" = 'italy' | 0.058594 |
CREATE TABLE instructor (ID VARCHAR, name VARCHAR, dept_name VARCHAR, salary DECIMAL)
CREATE TABLE takes (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, grade VARCHAR)
CREATE TABLE course (course_id VARCHAR, title VARCHAR, dept_name VARCHAR, credits DECIMAL)
CREATE TABLE time_slot (time_slot_id VARCHAR, day VARCHAR, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR)
CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity DECIMAL)
CREATE TABLE student (ID VARCHAR, name VARCHAR, dept_name VARCHAR, tot_cred DECIMAL)
CREATE TABLE teaches (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL)
CREATE TABLE section (course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, building VARCHAR, room_number VARCHAR, time_slot_id VARCHAR)
CREATE TABLE prereq (course_id VARCHAR, prereq_id VARCHAR)
CREATE TABLE department (dept_name VARCHAR, building VARCHAR, budget DECIMAL)
| Find the minimum salary for the departments whose average salary is above the average payment of all instructors. Plot them as bar chart. | SELECT dept_name, MIN(salary) FROM instructor GROUP BY dept_name | SELECT "dept_name", MIN("salary") FROM "instructor" GROUP BY "dept_name" | 0.070313 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime 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)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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)
| what were the top three diagnoses that had the highest two year mortality rate? | SELECT t4.diagnosisname FROM (SELECT t3.diagnosisname, DENSE_RANK() OVER (ORDER BY t3.c1 DESC) AS c2 FROM (SELECT t2.diagnosisname, 100 - SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t2.diagnosistime) > 2 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) AS c1 FROM (SELECT t1.uniquepid, t1.diagnosisname, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid GROUP BY patient.uniquepid, diagnosis.diagnosisname HAVING MIN(diagnosis.diagnosistime) = diagnosis.diagnosistime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.diagnosistime) > 2 * 365) AS t2 JOIN patient ON t2.uniquepid = patient.uniquepid GROUP BY t2.diagnosisname) AS t3) AS t4 WHERE t4.c2 <= 3 | WITH "t1" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosisname", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" GROUP BY "patient"."uniquepid", "diagnosis"."diagnosisname" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime")), "t3" AS (SELECT "t1"."diagnosisname", 100 - SUM(CASE WHEN "patient"."hospitaldischargestatus" = 'alive' THEN 1 WHEN STRFTIME('%j', "patient"."hospitaldischargetime") - STRFTIME('%j', "t1"."diagnosistime") > 730 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) AS "c1" FROM "t1" AS "t1" JOIN "patient" ON "patient"."uniquepid" = "t1"."uniquepid" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."diagnosistime") > 730 GROUP BY "t1"."diagnosisname"), "t4" AS (SELECT "t3"."diagnosisname", DENSE_RANK() OVER (ORDER BY "t3"."c1" DESC NULLS LAST) AS "c2" FROM "t3" AS "t3") SELECT "t4"."diagnosisname" FROM "t4" AS "t4" WHERE "t4"."c2" <= 3 | 0.952148 |
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