input
stringlengths 236
16.9k
| output
stringlengths 19
805
|
|---|---|
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- List down the dba name of restaurants that were inspected due to license.
| SELECT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.inspection_type = 'License'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- How many inspections done in 2010 had serious food safety issue?
| SELECT COUNT(T2.inspection_id) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y', T2.inspection_date) = '2010' AND T1.risk_level = 3; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- State the name of dbas with verified quality.
| SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.results LIKE '%Pass%'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Calculate the total salary for employees who did inspection from ID 52270 to 52272.
| SELECT SUM(T2.salary) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T1.inspection_id BETWEEN 52270 AND 52272; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Calculate the average salary for employees who did inspection on License Re-Inspection.
| SELECT AVG(T2.salary) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T1.inspection_type = 'License Re-Inspection'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Did license number 1222441 pass the inspection and what is the zip code number of it?
| SELECT DISTINCT T2.results, T1.zip FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.license_no = 1222441; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- When did restaurant John Schaller has its first inspection in 2010?
| SELECT MIN(T2.inspection_date) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'JOHN SCHALLER' AND strftime('%Y', T2.inspection_date) = '2010'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the full name of the employee that inspected establishments with license 1334073?
| SELECT DISTINCT T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.license_no = 1334073; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Which establishments did Joshua Rosa inspect?
| SELECT DISTINCT T3.dba_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Joshua' AND T1.last_name = 'Rosa'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- How many employees have salary greater than 70000 but fail the inspection?
| SELECT COUNT(DISTINCT T1.employee_id) FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.results = 'Fail' AND T1.salary > 70000; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Name the food businesses that passed the inspection in 2010.
| SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y', T2.inspection_date) = '2010' AND T2.results = 'Pass' AND T1.facility_type = 'Liquor'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the name of the establishment that Joshua Rosa inspected?
| SELECT DISTINCT T3.dba_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Joshua' AND T1.last_name = 'Rosa'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- How many taverns failed in July 2010?
| SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y-%m', T2.inspection_date) = '2010-07' AND T2.results = 'Fail' AND T1.facility_type = 'Restaurant'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the risk level of the establishment that Bob Benson inspected?
| SELECT DISTINCT T3.risk_level FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Bob' AND T1.last_name = 'Benson'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Which establishments did Bob Benson inspect in 2010 and what was the results?
| SELECT DISTINCT T3.dba_name, T2.results FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN establishment AS T3 ON T2.license_no = T3.license_no WHERE T1.first_name = 'Bob' AND T1.last_name = 'Benson' AND strftime('%Y', T2.inspection_date) = '2010'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the title of the employee that inspected the establishment with license number 1576687?
| SELECT DISTINCT T1.title FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.license_no = 1576687; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- How many inspection points with serious point level that have no fine?
| SELECT COUNT(DISTINCT T2.point_id) FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T1.point_level = 'Serious ' AND T2.fine = 0; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the percentage of restaurants that paid a fine of 250 among all establishments?
| SELECT CAST(COUNT(CASE WHEN T3.fine = 250 THEN T1.license_no END) AS REAL) * 100 / COUNT(T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T1.facility_type = 'Restaurant'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the percentage of establishments with a risk level of 1 among all of the establishments that passed the inspection?
| SELECT CAST(COUNT(CASE WHEN T1.risk_level = 1 THEN T1.license_no END) AS REAL) * 100 / COUNT(T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.results = 'Pass'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Where does the employee named "Standard Murray" live?
| SELECT address, city, state FROM employee WHERE first_name = 'Standard' AND last_name = 'Murray'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the facility type of the establishment named "Kinetic Playground"?
| SELECT facility_type FROM establishment WHERE dba_name = 'Kinetic Playground'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- How much salary does Jessica Anthony receive?
| SELECT salary FROM employee WHERE first_name = 'Jessica' AND last_name = 'Anthony'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the restaurant's name at "41.9532864854" latitude and "-87.7673790701422" longitude?
| SELECT dba_name FROM establishment WHERE latitude = 41.9532864854 AND longitude = -87.7673790701422 AND facility_type = 'Restaurant'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Among the list of employees, what is the total number of supervisors?
| SELECT COUNT(employee_id) FROM employee WHERE title = 'Supervisor'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Where in Chicago does the restaurant named "Old Timers Rest & Lounge" located?
| SELECT address FROM establishment WHERE city = 'CHICAGO' AND dba_name = 'OLD TIMERS REST & LOUNGE' AND facility_type = 'Restaurant'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- How many employees are living in Hoffman Estates, IL?
| SELECT COUNT(employee_id) FROM employee WHERE state = 'IL' AND city = 'Hoffman Estates'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the total number of establishments with the highest risk level?
| SELECT COUNT(license_no) FROM establishment WHERE risk_level = 3; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Who is the employee that receives 82700 as their salary?
| SELECT first_name, last_name FROM employee WHERE salary = 82700; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Provide the last name of the employee involved in the inspection ID 52256.
| SELECT DISTINCT T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 52256; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Please list the names of taverns that paid a $100 fine upon inspection.
| SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T1.facility_type = 'Tavern' AND T3.fine = 100; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- List point level of inspections with no fine.
| SELECT DISTINCT T1.point_level FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.fine = 0; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Provide the facility type and license number of establishments with the lowest risk level but failed the inspection.
| SELECT DISTINCT T1.facility_type, T1.license_no FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.risk_level = 1 AND T2.results = 'Fail'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the result of the February 24, 2010 inspection involving the employee named "Arnold Holder"?
| SELECT DISTINCT T2.results FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_date = '2010-02-24' AND T1.first_name = 'Arnold' AND T1.last_name = 'Holder'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- How many restaurants failed the inspection in April 2010?
| SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y-%m', T2.inspection_date) = '2010-04' AND T1.facility_type = 'Restaurant' AND T2.results = 'Fail'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- List all inspection IDs where the employee named "Rosemary Kennedy" was involved.
| SELECT DISTINCT T2.inspection_id FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T1.first_name = 'Rosemary' AND T1.last_name = 'Kennedy'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What type of inspection was done on July 07, 2010, involving the employee named "Lisa Tillman"?
| SELECT DISTINCT T2.inspection_type FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T1.first_name = 'Lisa' AND T1.last_name = 'Tillman' AND T2.inspection_date = '2010-07-07'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Provide the inspection ID of the inspection with the comment "MUST CLEAN AND BETTER ORGANIZE HALLWAY AREA" and sanitary operating requirement code of 7-38-030, 015, 010 (A), 005 (A).
| SELECT T2.inspection_id FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T2.inspector_comment = 'MUST CLEAN AND BETTER ORGANIZE HALLWAY AREA' AND T1.code = '7-38-030, 015, 010 (A), 005 (A)'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- List down the names of the establishments with the highest risk level and failed the inspection.
| SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.risk_level = 3 AND T2.results = 'Fail'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the inspection ID where the employee named "David Hodges" is currently employed in the "Kamayan Express" establishment?
| SELECT T2.inspection_id FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN employee AS T3 ON T2.employee_id = T3.employee_id WHERE T3.first_name = 'David' AND T3.last_name = 'Hodges' AND T1.dba_name = 'KAMAYAN EXPRESS'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Provide the salary range of the employee involved in the inspection ID 58424.
| SELECT T1.salary, T3.salary FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN employee AS T3 WHERE T2.inspection_id = 58424 ORDER BY T1.salary, T3.salary DESC LIMIT 1; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- List down the inspection ID with the inspector's comment "A certified food service manager must be present in all establishments at which potentially hazardous food is prepared or served. NO CERTIFIED FOOD MANAGER ON DUTY AT THIS TIME FOODS ARE COOKED AND SERVED SERIOUS CITATION ISSUED" and inspection category of Personnel.
| SELECT T2.inspection_id FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T1.category = 'Personnel' AND T2.inspector_comment = 'A certified food service manager must be present in all establishments at which potentially hazardous food is prepared or served.FOUND NO CITY OF CHICAGO SANITATION CERTIFICATE POSTED OR VALID DOCUMENTATION DURING THIS INSPECTION.'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- How many grocery stores paid $250 fine upon their inspection?
| SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T1.facility_type = 'Grocery Store' AND T3.fine = 250; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the category of the inspection of the establishment named "J & J FOOD"?
| SELECT DISTINCT T4.category FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id INNER JOIN inspection_point AS T4 ON T3.point_id = T4.point_id WHERE T1.dba_name = 'J & J FOOD'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Name the taverns that failed the inspection in January 2010.
| SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE strftime('%Y-%m', T2.inspection_date) = '2010-01' AND T2.results = 'Fail' AND T1.facility_type = 'TAVERN'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- How many of the inspections with serious point levels have no fines?
| SELECT COUNT(DISTINCT T2.inspection_id) FROM inspection_point AS T1 INNER JOIN violation AS T2 ON T1.point_id = T2.point_id WHERE T1.point_level = 'Serious ' AND T2.fine = 0; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the establishment's name with an inspection category of No Smoking Regulations?
| SELECT DISTINCT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id INNER JOIN inspection_point AS T4 ON T3.point_id = T4.point_id WHERE T4.category = 'No Smoking Regulations'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- What is the difference in the number of restaurants that passed and failed the canvass inspection type?
| SELECT COUNT(CASE WHEN T2.results = 'Pass' THEN T1.license_no END) - COUNT(CASE WHEN T2.results = 'Fail' THEN T1.license_no END) AS diff FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.inspection_type = 'Canvass' AND T1.facility_type = 'Restaurant'; |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Among the establishments that failed the inspection in February 2010, list the names of the employees with a salary greater than 70% of the average salary of all employees.
| SELECT DISTINCT T1.employee_id FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.results = 'Fail' AND strftime('%Y-%m', T2.inspection_date) = '2010-02' AND T1.salary > 0.7 * ( SELECT AVG(salary) FROM employee ); |
-- Database schema
| employee : employee_id [ INTEGER ] primary_key , first_name [ TEXT ] , last_name [ TEXT ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , phone [ TEXT ] , title [ TEXT ] , salary [ INTEGER ] , supervisor [ INTEGER ] employee.supervisor = employee.employee_id | establishment : license_no [ INTEGER ] primary_key , dba_name [ TEXT ] , aka_name [ TEXT ] , facility_type [ TEXT ] , risk_level [ INTEGER ] , address [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zip [ INTEGER ] , latitude [ REAL ] , longitude [ REAL ] , ward [ INTEGER ] | inspection : inspection_id [ INTEGER ] primary_key , inspection_date [ DATE ] , inspection_type [ TEXT ] , results [ TEXT ] , employee_id [ INTEGER ] inspection.employee_id = employee.employee_id , license_no [ INTEGER ] inspection.license_no = establishment.license_no , followup_to [ INTEGER ] inspection.followup_to = inspection.inspection_id | inspection_point : point_id [ INTEGER ] primary_key , Description [ TEXT ] , category [ TEXT ] , code [ TEXT ] , fine [ INTEGER ] , point_level [ TEXT ] | violation : inspection_id [ INTEGER ] violation.inspection_id = inspection.inspection_id , point_id [ INTEGER ] violation.point_id = inspection_point.point_id , fine [ INTEGER ] , inspector_comment [ TEXT ] |
-- -- Among the establishments that paid a 500 fine, what is the percentage of restaurants?
| SELECT CAST(COUNT(CASE WHEN T1.facility_type = 'Restaurant' THEN T1.license_no END) AS REAL) * 100 / COUNT(T1.facility_type) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T3.fine = 500; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Name the coin that has the highest market capitalization for all transactions in 2018.
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date LIKE '2018%' AND T2.market_cap = ( SELECT MAX(market_cap) FROM historical WHERE STRFTIME('%Y', date) = '2018' ); |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What is the total value of Argentum coined traded in the past 24 hours on 2016/10/11.
| SELECT T2.volume_24h FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Argentum' AND T2.date = '2016-10-11'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- List the price for Zetacoin on 13/11/1 and the next 7 consecutive days. What is the average price for these 7 days?
| SELECT T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Zetacoin' AND T2.date BETWEEN '2013-11-01' AND '2013-11-07' UNION ALL SELECT AVG(T2.PRICE) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Zetacoin' AND T2.date BETWEEN '2013-11-01' AND '2013-11-07'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- For all transactions for WRAP in August 2016, list the time to achieve highest price and the time to achieve the lowest price.
| SELECT T2.time_high, T2.time_low, T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'WARP' AND STRFTIME('%Y-%m', T2.date) = '2016-08'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- State the transaction date whereby DigixDAO was transacted at the hightest price.
| SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'DigixDAO' ORDER BY T2.price DESC LIMIT 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Name the coin with the highest percentage price changed in 24 hours. State the transaction date and price.
| SELECT T1.name, T2.DATE, T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.percent_change_24h = ( SELECT MAX(percent_change_24h) FROM historical ); |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What is the average monthly circulating supply for Frozen in 2014.
| SELECT CAST(SUM(T2.circulating_supply) AS REAL) / 12 FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Frozen' AND STRFTIME('%Y', T2.date) = '2014'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- List all the inactive coins and state the last date of its transaction?
| SELECT T1.NAME, MAX(T2.DATE) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.ID = T2.coin_id WHERE T1.status = 'inactive' ORDER BY T2.DATE DESC LIMIT 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What was the price of 1 Bitcoin in 2016?
| SELECT AVG(T2.price) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Bitcoin' AND STRFTIME('%Y', T2.date) = '2016'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- State the transaction date and the price when Bitcoin was bottomed?
| SELECT T2.date, T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Bitcoin' ORDER BY T2.price LIMIT 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- For all coins with average price more than $1000. State the current status of the coin.
| SELECT T1.status FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id GROUP BY T1.name HAVING AVG(T2.price) > 1000; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Name the coin and date of transactions with the greatest decline in percent change in 1 hour.
| SELECT T1.name, T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.percent_change_1h = ( SELECT MIN(percent_change_1h) FROM historical ); |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Name the coin under the token category that gives the highest max profit.
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.category = 'token' ORDER BY T2.high - T2.low DESC LIMIT 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Name the coin that have higher than average percentage price changed from the previous 24 hours for transaction on 2013/6/22.
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2020-06-22' GROUP BY T1.name HAVING AVG(T2.percent_change_24h) > T2.PRICE; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Which crytocurrency was ranked the first by CoinMarketCap on 2013/4/28?
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T2.cmc_rank = 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- How much dollars was a Bitcoin worth on 2013/4/28 according to the coin market?
| SELECT T2.market_cap FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name = 'Bitcoin'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Which crytocurrency was not opened on 2013/5/3?
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-05-03' AND T2.open IS NULL; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What was the price of Bitcoin when it closed at the end of the day on 2013/4/29?
| SELECT T2.close FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-29' AND T1.name = 'Bitcoin'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- When did Bitcoin reach its highest price on 2013/4/29?
| SELECT T2.time_high FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-29' AND T1.name = 'Bitcoin'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What was the max profit a user can make on Bitcoin on 2013/4/28?
| SELECT T2.high - T2.low FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name = 'Bitcoin'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What was the number of Bitcoins verifiably burned until 2013/4/28?
| SELECT T2.max_supply - T2.total_supply FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name = 'Bitcoin'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Which crytocurrency was traded in the highest value on 2016/1/8?
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2016-01-08' AND T2.volume_24h = ( SELECT MAX(volume_24h) FROM historical WHERE date = '2016-01-08' ); |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Please list the names of the crytocurrencies that have a total amount of existence of over 10000000 on 2013/4/28.
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T2.total_supply > 10000000; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Had Bitcoin's price increased or decreased on 2013/5/5 compared with the price 7 days before?
| SELECT (CASE WHEN T2.percent_change_7d > 0 THEN 'INCREASED' ELSE 'DECREASED' END) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-05-05' AND T1.name = 'Bitcoin'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Which crytocurrency had a bigger number of coins circulating in the market and in the general public's hands on 2013/4/28, Bitcoin or Litecoin?
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name IN ('Bitcoin', 'Litecoin') ORDER BY T2.circulating_supply DESC LIMIT 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- How much was a Bitcoin on 2013/4/28?
| SELECT T2.price FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T1.name = 'Bitcoin'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What was the average price of a Bitcoin in the year 2013?
| SELECT AVG(T2.price) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE STRFTIME('%Y', T2.date) = '2013' AND T1.name = 'Bitcoin'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What was the percentage of the Bitcoins verifiably burned until 2018/4/28?
| SELECT CAST((SUM(T2.max_supply) - SUM(T2.total_supply)) AS REAL) / SUM(T2.total_supply) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date < '2018-04-28' AND T1.name = 'Bitcoin'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Please list the names of coins that has been disappeared.
| SELECT name FROM coins WHERE status = 'extinct'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What's the descripition of BitBar?
| SELECT description FROM coins WHERE name = 'BitBar'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- How many coins were added in May 2013? Please list the names of coins.
| SELECT COUNT(id) num FROM coins WHERE STRFTIME('%Y-%m', date_added) = '2013-05' UNION ALL SELECT name FROM coins WHERE STRFTIME('%Y-%m', date_added) = '2013-05'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- List the names and symbols of the coins that were added on June 14, 2013.
| SELECT name, symbol FROM coins WHERE date_added LIKE '2013-06-14%'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- List the names of coins that cannot be traded in 2014.
| SELECT name FROM coins WHERE date_added LIKE '2014%' AND status = 'untracked'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Name the coins that have three tags.
| SELECT name FROM coins WHERE LENGTH(tag_names) - LENGTH(replace(tag_names, ',', '')) = 2; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What is the name of the coin with the highest price?
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.price = ( SELECT MAX(price) FROM historical ); |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Please name the coin that ranked first among the coins traded on April 29, 2013.
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-29' AND T2.cmc_rank = 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- When is the best time to purchase Bitcoin?
| SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Bitcoin' ORDER BY T2.low LIMIT 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What is the name of the coin that creates the most total value in the past 24 hours?
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.volume_24h = ( SELECT MAX(volume_24h) FROM historical ); |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- Name the coins that were not opened on May 2013.
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE STRFTIME('%Y-%m', T2.date) = '2013-05' AND T2.open IS NULL; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- When is the highest closed price of CHNCoin?
| SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'CHNCoin' ORDER BY T2.close DESC LIMIT 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- When did Peercoin rank fifth?
| SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Peercoin' AND T2.cmc_rank = 5; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- When is Devcoin most valuable in the market?
| SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Devcoin' ORDER BY T2.market_cap DESC LIMIT 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- List the names of the top five coins traded on January 1, 2014.
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2014-01-01' AND T2.cmc_rank <= 5; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- When was Lebowskis not opened?
| SELECT DISTINCT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Lebowskis' AND (T2.open IS NULL OR T2.open = 0); |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- When is the highest price of Terracoin?
| SELECT T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Terracoin' ORDER BY T2.price DESC LIMIT 1; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- How many times was Bytecoin traded in June 2013?
| SELECT COUNT(T2.coin_id) FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T1.name = 'Bytecoin' AND STRFTIME('%Y-%m', T2.date) = '2013-06'; |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- List the names of the coins above the average price on April 28, 2013.
| SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2018-04-28' AND T2.price > ( SELECT AVG(price) FROM historical WHERE date = '2018-04-28' ); |
-- Database schema
| coins : id [ INTEGER ] primary_key , name [ TEXT ] , slug [ TEXT ] , symbol [ TEXT ] , status [ TEXT ] , category [ TEXT ] , description [ TEXT ] , subreddit [ TEXT ] , notice [ TEXT ] , tags [ TEXT ] , tag_names [ TEXT ] , website [ TEXT ] , platform_id [ INTEGER ] , date_added [ TEXT ] , date_launched [ TEXT ] | historical : date [ DATE ] , coin_id [ INTEGER ] , cmc_rank [ INTEGER ] , market_cap [ REAL ] , price [ REAL ] , open [ REAL ] , high [ REAL ] , low [ REAL ] , close [ REAL ] , time_high [ TEXT ] , time_low [ TEXT ] , volume_24h [ REAL ] , percent_change_1h [ REAL ] , percent_change_24h [ REAL ] , percent_change_7d [ REAL ] , circulating_supply [ REAL ] , total_supply [ REAL ] , max_supply [ REAL ] , num_market_pairs [ INTEGER ] |
-- -- What's the percentage of coins that is higher than the price 1 hour ago in May 29,2013? List the names of these coins.
| SELECT T1.NAME FROM coins AS T1 INNER JOIN historical AS T2 ON T1.ID = T2.coin_id WHERE T2.DATE = '2013-05-29' AND T2.percent_change_1h > 0; |
-- Database schema
| Categories : CategoryID [ INTEGER ] primary_key , CategoryName [ TEXT ] , Description [ TEXT ] | Customers : CustomerID [ INTEGER ] primary_key , CustomerName [ TEXT ] , ContactName [ TEXT ] , Address [ TEXT ] , City [ TEXT ] , PostalCode [ TEXT ] , Country [ TEXT ] | Employees : EmployeeID [ INTEGER ] primary_key , LastName [ TEXT ] , FirstName [ TEXT ] , BirthDate [ DATE ] , Photo [ TEXT ] , Notes [ TEXT ] | Shippers : ShipperID [ INTEGER ] primary_key , ShipperName [ TEXT ] , Phone [ TEXT ] | Suppliers : SupplierID [ INTEGER ] primary_key , SupplierName [ TEXT ] , ContactName [ TEXT ] , Address [ TEXT ] , City [ TEXT ] , PostalCode [ TEXT ] , Country [ TEXT ] , Phone [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , ProductName [ TEXT ] , SupplierID [ INTEGER ] Products.SupplierID = Suppliers.SupplierID , CategoryID [ INTEGER ] Products.CategoryID = Categories.CategoryID , Unit [ TEXT ] , Price [ REAL ] | Orders : OrderID [ INTEGER ] primary_key , CustomerID [ INTEGER ] Orders.CustomerID = Customers.CustomerID , EmployeeID [ INTEGER ] Orders.EmployeeID = Employees.EmployeeID , OrderDate [ DATETIME ] , ShipperID [ INTEGER ] Orders.ShipperID = Shippers.ShipperID | OrderDetails : OrderDetailID [ INTEGER ] primary_key , OrderID [ INTEGER ] OrderDetails.OrderID = Orders.OrderID , ProductID [ INTEGER ] OrderDetails.ProductID = Products.ProductID , Quantity [ INTEGER ] |
-- -- How many employees have obtained a doctorate?
| SELECT COUNT(EmployeeID) FROM Employees WHERE TitleOfCourtesy = 'Dr.'; |
-- Database schema
| Categories : CategoryID [ INTEGER ] primary_key , CategoryName [ TEXT ] , Description [ TEXT ] | Customers : CustomerID [ INTEGER ] primary_key , CustomerName [ TEXT ] , ContactName [ TEXT ] , Address [ TEXT ] , City [ TEXT ] , PostalCode [ TEXT ] , Country [ TEXT ] | Employees : EmployeeID [ INTEGER ] primary_key , LastName [ TEXT ] , FirstName [ TEXT ] , BirthDate [ DATE ] , Photo [ TEXT ] , Notes [ TEXT ] | Shippers : ShipperID [ INTEGER ] primary_key , ShipperName [ TEXT ] , Phone [ TEXT ] | Suppliers : SupplierID [ INTEGER ] primary_key , SupplierName [ TEXT ] , ContactName [ TEXT ] , Address [ TEXT ] , City [ TEXT ] , PostalCode [ TEXT ] , Country [ TEXT ] , Phone [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , ProductName [ TEXT ] , SupplierID [ INTEGER ] Products.SupplierID = Suppliers.SupplierID , CategoryID [ INTEGER ] Products.CategoryID = Categories.CategoryID , Unit [ TEXT ] , Price [ REAL ] | Orders : OrderID [ INTEGER ] primary_key , CustomerID [ INTEGER ] Orders.CustomerID = Customers.CustomerID , EmployeeID [ INTEGER ] Orders.EmployeeID = Employees.EmployeeID , OrderDate [ DATETIME ] , ShipperID [ INTEGER ] Orders.ShipperID = Shippers.ShipperID | OrderDetails : OrderDetailID [ INTEGER ] primary_key , OrderID [ INTEGER ] OrderDetails.OrderID = Orders.OrderID , ProductID [ INTEGER ] OrderDetails.ProductID = Products.ProductID , Quantity [ INTEGER ] |
-- -- To whom does Nancy Davolio report? Please give that employee's full name.
| SELECT FirstName, LastName FROM Employees WHERE EmployeeID = ( SELECT ReportsTo FROM Employees WHERE LastName = 'Davolio' AND FirstName = 'Nancy' ); |
-- Database schema
| Categories : CategoryID [ INTEGER ] primary_key , CategoryName [ TEXT ] , Description [ TEXT ] | Customers : CustomerID [ INTEGER ] primary_key , CustomerName [ TEXT ] , ContactName [ TEXT ] , Address [ TEXT ] , City [ TEXT ] , PostalCode [ TEXT ] , Country [ TEXT ] | Employees : EmployeeID [ INTEGER ] primary_key , LastName [ TEXT ] , FirstName [ TEXT ] , BirthDate [ DATE ] , Photo [ TEXT ] , Notes [ TEXT ] | Shippers : ShipperID [ INTEGER ] primary_key , ShipperName [ TEXT ] , Phone [ TEXT ] | Suppliers : SupplierID [ INTEGER ] primary_key , SupplierName [ TEXT ] , ContactName [ TEXT ] , Address [ TEXT ] , City [ TEXT ] , PostalCode [ TEXT ] , Country [ TEXT ] , Phone [ TEXT ] | Products : ProductID [ INTEGER ] primary_key , ProductName [ TEXT ] , SupplierID [ INTEGER ] Products.SupplierID = Suppliers.SupplierID , CategoryID [ INTEGER ] Products.CategoryID = Categories.CategoryID , Unit [ TEXT ] , Price [ REAL ] | Orders : OrderID [ INTEGER ] primary_key , CustomerID [ INTEGER ] Orders.CustomerID = Customers.CustomerID , EmployeeID [ INTEGER ] Orders.EmployeeID = Employees.EmployeeID , OrderDate [ DATETIME ] , ShipperID [ INTEGER ] Orders.ShipperID = Shippers.ShipperID | OrderDetails : OrderDetailID [ INTEGER ] primary_key , OrderID [ INTEGER ] OrderDetails.OrderID = Orders.OrderID , ProductID [ INTEGER ] OrderDetails.ProductID = Products.ProductID , Quantity [ INTEGER ] |
-- -- Which phone number should I call if I want to reach Nancy Davolio's home?
| SELECT HomePhone FROM Employees WHERE LastName = 'Davolio' AND FirstName = 'Nancy'; |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.