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How many heads of the departments are older than 56 ? | SELECT COUNT(*) FROM head WHERE age > 56 | CREATE TABLE head (age INTEGER) | [
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List the name, born state and age of the heads of departments ordered by age. | SELECT name, born_state, age FROM head ORDER BY age | CREATE TABLE head (name VARCHAR, born_state VARCHAR, age VARCHAR) | [
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List the creation year, name and budget of each department. | SELECT creation, name, budget_in_billions FROM department | CREATE TABLE department (creation VARCHAR, name VARCHAR, budget_in_billions VARCHAR) | [
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What are the maximum and minimum budget of the departments? | SELECT MAX(budget_in_billions), MIN(budget_in_billions) FROM department | CREATE TABLE department (budget_in_billions INTEGER) | [
32100,
32106,
32105,
205,
4386,
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What is the average number of employees of the departments whose rank is between 10 and 15? | SELECT AVG(num_employees) FROM department WHERE ranking BETWEEN 10 AND 15 | CREATE TABLE department (num_employees INTEGER, ranking INTEGER) | [
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What are the names of the heads who are born outside the California state? | SELECT name FROM head WHERE born_state <> 'California' | CREATE TABLE head (name VARCHAR, born_state VARCHAR) | [
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In which year were most departments established? | SELECT creation FROM department GROUP BY creation ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE department (creation VARCHAR) | [
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Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'? | SELECT T1.name, T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = 'Yes' | CREATE TABLE management (department_id VARCHAR, temporary_acting VARCHAR); CREATE TABLE department (name VARCHAR, num_employees VARCHAR, department_id VARCHAR) | [
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How many acting statuses are there? | SELECT COUNT(DISTINCT temporary_acting) FROM management | CREATE TABLE management (temporary_acting VARCHAR) | [
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Which head's name has the substring 'Ha'? List the id and name. | SELECT head_id, name FROM head WHERE name LIKE '%Ha%' | CREATE TABLE head (head_id VARCHAR, name VARCHAR) | [
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How many farms are there? | SELECT COUNT(*) FROM farm | CREATE TABLE farm (Id VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
3797,
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196,
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What are the hosts of competitions whose theme is not "Aliens"? | SELECT Hosts FROM farm_competition WHERE Theme <> 'Aliens' | CREATE TABLE farm_competition (Hosts VARCHAR, Theme VARCHAR) | [
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What are the themes of farm competitions sorted by year in ascending order? | SELECT Theme FROM farm_competition ORDER BY YEAR | CREATE TABLE farm_competition (Theme VARCHAR, YEAR VARCHAR) | [
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What is the average number of working horses of farms with more than 5000 total number of horses? | SELECT AVG(Working_Horses) FROM farm WHERE Total_Horses > 5000 | CREATE TABLE farm (Working_Horses INTEGER, Total_Horses INTEGER) | [
32100,
32106,
32105,
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] |
What are the maximum and minimum number of cows across all farms. | SELECT MAX(Cows), MIN(Cows) FROM farm | CREATE TABLE farm (Cows INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
3797,
41,
254,
2381,
7,
3,
21342,
17966,
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How many different statuses do cities have? | SELECT COUNT(DISTINCT Status) FROM city | CREATE TABLE city (Status VARCHAR) | [
32100,
32106,
32105,
205,
4386,
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332,
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17161,
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List official names of cities in descending order of population. | SELECT Official_Name FROM city ORDER BY Population DESC | CREATE TABLE city (Official_Name VARCHAR, Population VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
690,
41,
667,
89,
22816,
834,
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584,
4280,
28027,
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584,
4280,
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List the official name and status of the city with the largest population. | SELECT Official_Name, Status FROM city ORDER BY Population DESC LIMIT 1 | CREATE TABLE city (Official_Name VARCHAR, Status VARCHAR, Population VARCHAR) | [
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Show the years and the official names of the host cities of competitions. | SELECT T2.Year, T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID | CREATE TABLE city (Official_Name VARCHAR, City_ID VARCHAR); CREATE TABLE farm_competition (Year VARCHAR, Host_city_ID VARCHAR) | [
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Show the official names of the cities that have hosted more than one competition. | SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1 | CREATE TABLE farm_competition (Host_city_ID VARCHAR); CREATE TABLE city (Official_Name VARCHAR, City_ID VARCHAR) | [
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Show the status of the city that has hosted the greatest number of competitions. | SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE city (Status VARCHAR, City_ID VARCHAR); CREATE TABLE farm_competition (Host_city_ID VARCHAR) | [
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Please show the themes of competitions with host cities having populations larger than 1000. | SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000 | CREATE TABLE city (City_ID VARCHAR, Population INTEGER); CREATE TABLE farm_competition (Theme VARCHAR, Host_city_ID VARCHAR) | [
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Please show the different statuses of cities and the average population of cities with each status. | SELECT Status, AVG(Population) FROM city GROUP BY Status | CREATE TABLE city (Status VARCHAR, Population INTEGER) | [
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Please show the different statuses, ordered by the number of cities that have each. | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) | CREATE TABLE city (Status VARCHAR) | [
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List the most common type of Status across cities. | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE city (Status VARCHAR) | [
32100,
32106,
32105,
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332,
17098,
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List the official names of cities that have not held any competition. | SELECT Official_Name FROM city WHERE NOT City_ID IN (SELECT Host_city_ID FROM farm_competition) | CREATE TABLE farm_competition (Official_Name VARCHAR, City_ID VARCHAR, Host_city_ID VARCHAR); CREATE TABLE city (Official_Name VARCHAR, City_ID VARCHAR, Host_city_ID VARCHAR) | [
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Show the status shared by cities with population bigger than 1500 and smaller than 500. | SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500 | CREATE TABLE city (Status VARCHAR, Population INTEGER) | [
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Show the census ranking of cities whose status are not "Village". | SELECT Census_Ranking FROM city WHERE Status <> "Village" | CREATE TABLE city (Census_Ranking VARCHAR, Status VARCHAR) | [
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which course has most number of registered students? | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE courses (course_name VARCHAR, course_id VARCHAR); CREATE TABLE student_course_registrations (course_Id VARCHAR) | [
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List the id of students who attended some courses? | SELECT student_id FROM student_course_attendance | CREATE TABLE student_course_attendance (student_id VARCHAR) | [
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What are the ids of all students for courses and what are the names of those courses? | SELECT T1.student_id, T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id | CREATE TABLE courses (course_name VARCHAR, course_id VARCHAR); CREATE TABLE student_course_registrations (student_id VARCHAR, course_id VARCHAR) | [
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How many courses do the student whose id is 171 attend? | SELECT COUNT(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171 | CREATE TABLE courses (course_id VARCHAR); CREATE TABLE student_course_attendance (course_id VARCHAR, student_id VARCHAR) | [
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Find id of the candidate whose email is stanley.monahan@example.org? | SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "stanley.monahan@example.org" | CREATE TABLE candidates (candidate_id VARCHAR); CREATE TABLE people (person_id VARCHAR, email_address VARCHAR) | [
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Find id of the candidate who most recently accessed the course? | SELECT candidate_id FROM candidate_assessments ORDER BY assessment_date DESC LIMIT 1 | CREATE TABLE candidate_assessments (candidate_id VARCHAR, assessment_date VARCHAR) | [
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Find id of candidates whose assessment code is "Pass"? | SELECT candidate_id FROM candidate_assessments WHERE asessment_outcome_code = "Pass" | CREATE TABLE candidate_assessments (candidate_id VARCHAR, asessment_outcome_code VARCHAR) | [
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Find the cell mobile number of the candidates whose assessment code is "Fail"? | SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = "Fail" | CREATE TABLE candidates (candidate_id VARCHAR); CREATE TABLE people (cell_mobile_number VARCHAR, person_id VARCHAR); CREATE TABLE candidate_assessments (candidate_id VARCHAR, asessment_outcome_code VARCHAR) | [
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Find distinct cities of address of students? | SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id JOIN students AS T3 ON T2.person_id = T3.student_id | CREATE TABLE students (student_id VARCHAR); CREATE TABLE addresses (city VARCHAR, address_id VARCHAR); CREATE TABLE people_addresses (address_id VARCHAR, person_id VARCHAR) | [
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What are the id of students who registered courses or attended courses? | SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance | CREATE TABLE student_course_attendance (student_id VARCHAR); CREATE TABLE student_course_registrations (student_id VARCHAR) | [
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Find the id of courses which are registered or attended by student whose id is 121? | SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121 | CREATE TABLE student_course_attendance (course_id VARCHAR, student_id VARCHAR); CREATE TABLE student_course_registrations (course_id VARCHAR, student_id VARCHAR) | [
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List the id of students who attended statistics courses in the order of attendance date. | SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.date_of_attendance | CREATE TABLE student_course_attendance (student_id VARCHAR, course_id VARCHAR, date_of_attendance VARCHAR); CREATE TABLE courses (course_id VARCHAR, course_name VARCHAR) | [
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Give me the dates when the max temperature was higher than 85. | SELECT date FROM weather WHERE max_temperature_f > 85 | CREATE TABLE weather (date VARCHAR, max_temperature_f INTEGER) | [
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3,
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833,
21680,
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427,
9858,
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What are the names of stations that have latitude lower than 37.5? | SELECT name FROM station WHERE lat < 37.5 | CREATE TABLE station (name VARCHAR, lat INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
2478,
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4350,
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] | [
3,
23143,
14196,
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21680,
2478,
549,
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427,
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3,
2,
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] |
For each city, return the highest latitude among its stations. | SELECT city, MAX(lat) FROM station GROUP BY city | CREATE TABLE station (city VARCHAR, lat INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
2478,
41,
6726,
584,
4280,
28027,
6,
50,
17,
3,
21342,
17966,
61,
3,
32105,
32106,
32107,
32106,
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284,
690,
6,
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What is the average latitude and longitude of stations located in San Jose city? | SELECT AVG(lat), AVG(long) FROM station WHERE city = "San Jose" | CREATE TABLE station (lat INTEGER, long INTEGER, city VARCHAR) | [
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What is the id of the trip that has the shortest duration? | SELECT id FROM trip ORDER BY duration LIMIT 1 | CREATE TABLE trip (id VARCHAR, duration VARCHAR) | [
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What is the total and maximum duration of trips with bike id 636? | SELECT SUM(duration), MAX(duration) FROM trip WHERE bike_id = 636 | CREATE TABLE trip (duration INTEGER, bike_id VARCHAR) | [
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For each zip code, return the average mean temperature of August there. | SELECT zip_code, AVG(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code | CREATE TABLE weather (zip_code VARCHAR, mean_temperature_f INTEGER, date VARCHAR) | [
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32105,
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From the trip record, find the number of unique bikes. | SELECT COUNT(DISTINCT bike_id) FROM trip | CREATE TABLE trip (bike_id VARCHAR) | [
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32106,
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205,
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3,
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] |
What is the number of distinct cities the stations are located at? | SELECT COUNT(DISTINCT city) FROM station | CREATE TABLE station (city VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
2478,
41,
6726,
584,
4280,
28027,
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Return the unique name for stations that have ever had 7 bikes available. | SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7 | CREATE TABLE station (name VARCHAR, id VARCHAR); CREATE TABLE status (station_id VARCHAR, bikes_available VARCHAR) | [
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Which start station had the most trips starting from August? Give me the name and id of the station. | SELECT start_station_name, start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE trip (start_station_name VARCHAR, start_station_id VARCHAR, start_date VARCHAR) | [
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Which bike traveled the most often in zip code 94002? | SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1 | CREATE TABLE trip (bike_id VARCHAR, zip_code VARCHAR) | [
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How many days had both mean humidity above 50 and mean visibility above 8? | SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8 | CREATE TABLE weather (mean_humidity VARCHAR, mean_visibility_miles VARCHAR) | [
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What are the names and ids of stations that had more than 14 bikes available on average or were installed in December? | SELECT T1.name, T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING AVG(T2.bikes_available) > 14 UNION SELECT name, id FROM station WHERE installation_date LIKE "12/%" | CREATE TABLE station (name VARCHAR, id VARCHAR); CREATE TABLE station (name VARCHAR, id VARCHAR, installation_date VARCHAR); CREATE TABLE status (station_id VARCHAR, bikes_available INTEGER) | [
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What is the 3 most common cloud cover rates in the region of zip code 94107? | SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT(*) DESC LIMIT 3 | CREATE TABLE weather (cloud_cover VARCHAR, zip_code VARCHAR) | [
32100,
32106,
32105,
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What is the zip code in which the average mean sea level pressure is the lowest? | SELECT zip_code FROM weather GROUP BY zip_code ORDER BY AVG(mean_sea_level_pressure_inches) LIMIT 1 | CREATE TABLE weather (zip_code VARCHAR, mean_sea_level_pressure_inches INTEGER) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
1969,
41,
13453,
834,
4978,
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What is the average longitude of stations that never had bike availability more than 10? | SELECT AVG(long) FROM station WHERE NOT id IN (SELECT station_id FROM status GROUP BY station_id HAVING MAX(bikes_available) > 10) | CREATE TABLE station (long INTEGER, id VARCHAR, station_id VARCHAR, bikes_available INTEGER); CREATE TABLE status (long INTEGER, id VARCHAR, station_id VARCHAR, bikes_available INTEGER) | [
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When and in what zip code did max temperature reach 80? | SELECT date, zip_code FROM weather WHERE max_temperature_f >= 80 | CREATE TABLE weather (date VARCHAR, zip_code VARCHAR, max_temperature_f VARCHAR) | [
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Give me ids for all the trip that took place in a zip code area with average mean temperature above 60. | SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING AVG(T2.mean_temperature_f) > 60 | CREATE TABLE trip (id VARCHAR, zip_code VARCHAR); CREATE TABLE weather (zip_code VARCHAR, mean_temperature_f INTEGER) | [
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For each zip code, return how many times max wind speed reached 25? | SELECT zip_code, COUNT(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code | CREATE TABLE weather (zip_code VARCHAR, max_wind_Speed_mph VARCHAR) | [
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32106,
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On which day and in which zip code was the min dew point lower than any day in zip code 94107? | SELECT date, zip_code FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) | CREATE TABLE weather (date VARCHAR, zip_code VARCHAR, min_dew_point_f INTEGER) | [
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For each trip, return its ending station's installation date. | SELECT T1.id, T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id | CREATE TABLE station (installation_date VARCHAR, id VARCHAR); CREATE TABLE trip (id VARCHAR, end_station_id VARCHAR) | [
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Which trip started from the station with the largest dock count? Give me the trip id. | SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.start_station_id = T2.id ORDER BY T2.dock_count DESC LIMIT 1 | CREATE TABLE trip (id VARCHAR, start_station_id VARCHAR); CREATE TABLE station (id VARCHAR, dock_count VARCHAR) | [
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Count the number of trips that did not end in San Francisco city. | SELECT COUNT(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city <> "San Francisco" | CREATE TABLE trip (end_station_id VARCHAR); CREATE TABLE station (id VARCHAR, city VARCHAR) | [
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In zip code 94107, on which day neither Fog nor Rain was not observed? | SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS <> "Fog" AND EVENTS <> "Rain" | CREATE TABLE weather (date VARCHAR, EVENTS VARCHAR, zip_code VARCHAR) | [
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What are names of stations that have average bike availability above 10 and are not located in San Jose city? | SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING AVG(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose" | CREATE TABLE station (name VARCHAR, id VARCHAR); CREATE TABLE status (station_id VARCHAR); CREATE TABLE station (name VARCHAR, city VARCHAR, bikes_available INTEGER) | [
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What are the name, latitude, and city of the station with the lowest latitude? | SELECT name, lat, city FROM station ORDER BY lat LIMIT 1 | CREATE TABLE station (name VARCHAR, lat VARCHAR, city VARCHAR) | [
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What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds? | SELECT date, mean_temperature_f, mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3 | CREATE TABLE weather (date VARCHAR, mean_temperature_f VARCHAR, mean_humidity VARCHAR, max_gust_speed_mph VARCHAR) | [
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32106,
32105,
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4386,
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List the name and the number of stations for all the cities that have at least 15 stations. | SELECT city, COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15 | CREATE TABLE station (city VARCHAR) | [
32100,
32106,
32105,
205,
4386,
6048,
332,
17098,
2478,
41,
6726,
584,
4280,
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Find the ids and names of stations from which at least 200 trips started. | SELECT start_station_id, start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200 | CREATE TABLE trip (start_station_id VARCHAR, start_station_name VARCHAR) | [
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Find the zip code in which the average mean visibility is lower than 10. | SELECT zip_code FROM weather GROUP BY zip_code HAVING AVG(mean_visibility_miles) < 10 | CREATE TABLE weather (zip_code VARCHAR, mean_visibility_miles INTEGER) | [
32100,
32106,
32105,
205,
4386,
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332,
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