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student_assessment
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( address_id, line_1, line_2, city, zip_postcode, state_province_county, country )
# People ( person_id, first_name, middle_name, last_name, cell_mobile_number, email_address, login_name, password )
# Students ( student_id, student_details )
# Courses ( course_id, course_name, course_description, other_details )
# People_Addresses ( person_address_id, person_id, address_id, date_from, date_to )
# Student_Course_Registrations ( student_id, course_id, registration_date )
# Student_Course_Attendance ( student_id, course_id, date_of_attendance )
# Candidates ( candidate_id, candidate_details )
# Candidate_Assessments ( candidate_id, qualification, assessment_date, asessment_outcome_code )
#
# Students.student_id can be joined with People.person_id
# People_Addresses.address_id can be joined with Addresses.address_id
# People_Addresses.person_id can be joined with People.person_id
# Student_Course_Registrations.course_id can be joined with Courses.course_id
# Student_Course_Registrations.student_id can be joined with Students.student_id
# Student_Course_Attendance.student_id can be joined with Student_Course_Registrations.student_id
# Student_Course_Attendance.course_id can be joined with Student_Course_Registrations.course_id
# Candidates.candidate_id can be joined with People.person_id
# Candidate_Assessments.candidate_id can be joined with Candidates.candidate_id
#
### Question:
#
# What are the ids of the students who either registered or attended a course?
#
### SQL:
#
# SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance
#
### End.
|
student_assessment
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( address_id, line_1, line_2, city, zip_postcode, state_province_county, country )
# People ( person_id, first_name, middle_name, last_name, cell_mobile_number, email_address, login_name, password )
# Students ( student_id, student_details )
# Courses ( course_id, course_name, course_description, other_details )
# People_Addresses ( person_address_id, person_id, address_id, date_from, date_to )
# Student_Course_Registrations ( student_id, course_id, registration_date )
# Student_Course_Attendance ( student_id, course_id, date_of_attendance )
# Candidates ( candidate_id, candidate_details )
# Candidate_Assessments ( candidate_id, qualification, assessment_date, asessment_outcome_code )
#
# Students.student_id can be joined with People.person_id
# People_Addresses.address_id can be joined with Addresses.address_id
# People_Addresses.person_id can be joined with People.person_id
# Student_Course_Registrations.course_id can be joined with Courses.course_id
# Student_Course_Registrations.student_id can be joined with Students.student_id
# Student_Course_Attendance.student_id can be joined with Student_Course_Registrations.student_id
# Student_Course_Attendance.course_id can be joined with Student_Course_Registrations.course_id
# Candidates.candidate_id can be joined with People.person_id
# Candidate_Assessments.candidate_id can be joined with Candidates.candidate_id
#
### Question:
#
# Find the id of courses which are registered or attended by student whose id is 121?
#
### SQL:
#
# SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121
#
### End.
|
student_assessment
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( address_id, line_1, line_2, city, zip_postcode, state_province_county, country )
# People ( person_id, first_name, middle_name, last_name, cell_mobile_number, email_address, login_name, password )
# Students ( student_id, student_details )
# Courses ( course_id, course_name, course_description, other_details )
# People_Addresses ( person_address_id, person_id, address_id, date_from, date_to )
# Student_Course_Registrations ( student_id, course_id, registration_date )
# Student_Course_Attendance ( student_id, course_id, date_of_attendance )
# Candidates ( candidate_id, candidate_details )
# Candidate_Assessments ( candidate_id, qualification, assessment_date, asessment_outcome_code )
#
# Students.student_id can be joined with People.person_id
# People_Addresses.address_id can be joined with Addresses.address_id
# People_Addresses.person_id can be joined with People.person_id
# Student_Course_Registrations.course_id can be joined with Courses.course_id
# Student_Course_Registrations.student_id can be joined with Students.student_id
# Student_Course_Attendance.student_id can be joined with Student_Course_Registrations.student_id
# Student_Course_Attendance.course_id can be joined with Student_Course_Registrations.course_id
# Candidates.candidate_id can be joined with People.person_id
# Candidate_Assessments.candidate_id can be joined with Candidates.candidate_id
#
### Question:
#
# What are the ids of the courses that are registered or attended by the student whose id is 121?
#
### SQL:
#
# SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121
#
### End.
|
student_assessment
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( address_id, line_1, line_2, city, zip_postcode, state_province_county, country )
# People ( person_id, first_name, middle_name, last_name, cell_mobile_number, email_address, login_name, password )
# Students ( student_id, student_details )
# Courses ( course_id, course_name, course_description, other_details )
# People_Addresses ( person_address_id, person_id, address_id, date_from, date_to )
# Student_Course_Registrations ( student_id, course_id, registration_date )
# Student_Course_Attendance ( student_id, course_id, date_of_attendance )
# Candidates ( candidate_id, candidate_details )
# Candidate_Assessments ( candidate_id, qualification, assessment_date, asessment_outcome_code )
#
# Students.student_id can be joined with People.person_id
# People_Addresses.address_id can be joined with Addresses.address_id
# People_Addresses.person_id can be joined with People.person_id
# Student_Course_Registrations.course_id can be joined with Courses.course_id
# Student_Course_Registrations.student_id can be joined with Students.student_id
# Student_Course_Attendance.student_id can be joined with Student_Course_Registrations.student_id
# Student_Course_Attendance.course_id can be joined with Student_Course_Registrations.course_id
# Candidates.candidate_id can be joined with People.person_id
# Candidate_Assessments.candidate_id can be joined with Candidates.candidate_id
#
### Question:
#
# What are all info of students who registered courses but not attended courses?
#
### SQL:
#
# SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
#
### End.
|
student_assessment
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( address_id, line_1, line_2, city, zip_postcode, state_province_county, country )
# People ( person_id, first_name, middle_name, last_name, cell_mobile_number, email_address, login_name, password )
# Students ( student_id, student_details )
# Courses ( course_id, course_name, course_description, other_details )
# People_Addresses ( person_address_id, person_id, address_id, date_from, date_to )
# Student_Course_Registrations ( student_id, course_id, registration_date )
# Student_Course_Attendance ( student_id, course_id, date_of_attendance )
# Candidates ( candidate_id, candidate_details )
# Candidate_Assessments ( candidate_id, qualification, assessment_date, asessment_outcome_code )
#
# Students.student_id can be joined with People.person_id
# People_Addresses.address_id can be joined with Addresses.address_id
# People_Addresses.person_id can be joined with People.person_id
# Student_Course_Registrations.course_id can be joined with Courses.course_id
# Student_Course_Registrations.student_id can be joined with Students.student_id
# Student_Course_Attendance.student_id can be joined with Student_Course_Registrations.student_id
# Student_Course_Attendance.course_id can be joined with Student_Course_Registrations.course_id
# Candidates.candidate_id can be joined with People.person_id
# Candidate_Assessments.candidate_id can be joined with Candidates.candidate_id
#
### Question:
#
# What are all details of the students who registered but did not attend any course?
#
### SQL:
#
# SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance)
#
### End.
|
student_assessment
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( address_id, line_1, line_2, city, zip_postcode, state_province_county, country )
# People ( person_id, first_name, middle_name, last_name, cell_mobile_number, email_address, login_name, password )
# Students ( student_id, student_details )
# Courses ( course_id, course_name, course_description, other_details )
# People_Addresses ( person_address_id, person_id, address_id, date_from, date_to )
# Student_Course_Registrations ( student_id, course_id, registration_date )
# Student_Course_Attendance ( student_id, course_id, date_of_attendance )
# Candidates ( candidate_id, candidate_details )
# Candidate_Assessments ( candidate_id, qualification, assessment_date, asessment_outcome_code )
#
# Students.student_id can be joined with People.person_id
# People_Addresses.address_id can be joined with Addresses.address_id
# People_Addresses.person_id can be joined with People.person_id
# Student_Course_Registrations.course_id can be joined with Courses.course_id
# Student_Course_Registrations.student_id can be joined with Students.student_id
# Student_Course_Attendance.student_id can be joined with Student_Course_Registrations.student_id
# Student_Course_Attendance.course_id can be joined with Student_Course_Registrations.course_id
# Candidates.candidate_id can be joined with People.person_id
# Candidate_Assessments.candidate_id can be joined with Candidates.candidate_id
#
### Question:
#
# List the id of students who registered course statistics in the order of registration date.
#
### SQL:
#
# SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date
#
### End.
|
student_assessment
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( address_id, line_1, line_2, city, zip_postcode, state_province_county, country )
# People ( person_id, first_name, middle_name, last_name, cell_mobile_number, email_address, login_name, password )
# Students ( student_id, student_details )
# Courses ( course_id, course_name, course_description, other_details )
# People_Addresses ( person_address_id, person_id, address_id, date_from, date_to )
# Student_Course_Registrations ( student_id, course_id, registration_date )
# Student_Course_Attendance ( student_id, course_id, date_of_attendance )
# Candidates ( candidate_id, candidate_details )
# Candidate_Assessments ( candidate_id, qualification, assessment_date, asessment_outcome_code )
#
# Students.student_id can be joined with People.person_id
# People_Addresses.address_id can be joined with Addresses.address_id
# People_Addresses.person_id can be joined with People.person_id
# Student_Course_Registrations.course_id can be joined with Courses.course_id
# Student_Course_Registrations.student_id can be joined with Students.student_id
# Student_Course_Attendance.student_id can be joined with Student_Course_Registrations.student_id
# Student_Course_Attendance.course_id can be joined with Student_Course_Registrations.course_id
# Candidates.candidate_id can be joined with People.person_id
# Candidate_Assessments.candidate_id can be joined with Candidates.candidate_id
#
### Question:
#
# What are the ids of the students who registered course statistics by order of registration date?
#
### SQL:
#
# SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date
#
### End.
|
student_assessment
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( address_id, line_1, line_2, city, zip_postcode, state_province_county, country )
# People ( person_id, first_name, middle_name, last_name, cell_mobile_number, email_address, login_name, password )
# Students ( student_id, student_details )
# Courses ( course_id, course_name, course_description, other_details )
# People_Addresses ( person_address_id, person_id, address_id, date_from, date_to )
# Student_Course_Registrations ( student_id, course_id, registration_date )
# Student_Course_Attendance ( student_id, course_id, date_of_attendance )
# Candidates ( candidate_id, candidate_details )
# Candidate_Assessments ( candidate_id, qualification, assessment_date, asessment_outcome_code )
#
# Students.student_id can be joined with People.person_id
# People_Addresses.address_id can be joined with Addresses.address_id
# People_Addresses.person_id can be joined with People.person_id
# Student_Course_Registrations.course_id can be joined with Courses.course_id
# Student_Course_Registrations.student_id can be joined with Students.student_id
# Student_Course_Attendance.student_id can be joined with Student_Course_Registrations.student_id
# Student_Course_Attendance.course_id can be joined with Student_Course_Registrations.course_id
# Candidates.candidate_id can be joined with People.person_id
# Candidate_Assessments.candidate_id can be joined with Candidates.candidate_id
#
### Question:
#
# List the id of students who attended statistics courses in the order of attendance date.
#
### SQL:
#
# 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
#
### End.
|
student_assessment
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# Addresses ( address_id, line_1, line_2, city, zip_postcode, state_province_county, country )
# People ( person_id, first_name, middle_name, last_name, cell_mobile_number, email_address, login_name, password )
# Students ( student_id, student_details )
# Courses ( course_id, course_name, course_description, other_details )
# People_Addresses ( person_address_id, person_id, address_id, date_from, date_to )
# Student_Course_Registrations ( student_id, course_id, registration_date )
# Student_Course_Attendance ( student_id, course_id, date_of_attendance )
# Candidates ( candidate_id, candidate_details )
# Candidate_Assessments ( candidate_id, qualification, assessment_date, asessment_outcome_code )
#
# Students.student_id can be joined with People.person_id
# People_Addresses.address_id can be joined with Addresses.address_id
# People_Addresses.person_id can be joined with People.person_id
# Student_Course_Registrations.course_id can be joined with Courses.course_id
# Student_Course_Registrations.student_id can be joined with Students.student_id
# Student_Course_Attendance.student_id can be joined with Student_Course_Registrations.student_id
# Student_Course_Attendance.course_id can be joined with Student_Course_Registrations.course_id
# Candidates.candidate_id can be joined with People.person_id
# Candidate_Assessments.candidate_id can be joined with Candidates.candidate_id
#
### Question:
#
# What are the ids of the students who attended courses in the statistics department in order of attendance date.
#
### SQL:
#
# 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
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Give me the dates when the max temperature was higher than 85.
#
### SQL:
#
# SELECT date FROM weather WHERE max_temperature_f > 85
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the dates with a maximum temperature higher than 85?
#
### SQL:
#
# SELECT date FROM weather WHERE max_temperature_f > 85
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the names of stations that have latitude lower than 37.5?
#
### SQL:
#
# SELECT name FROM station WHERE lat < 37.5
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the names of all stations with a latitude smaller than 37.5?
#
### SQL:
#
# SELECT name FROM station WHERE lat < 37.5
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each city, return the highest latitude among its stations.
#
### SQL:
#
# SELECT city , max(lat) FROM station GROUP BY city
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each city, what is the highest latitude for its stations?
#
### SQL:
#
# SELECT city , max(lat) FROM station GROUP BY city
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Give me the start station and end station for the trips with the three oldest id.
#
### SQL:
#
# SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the station station and end station for the trips with the three smallest ids?
#
### SQL:
#
# SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the average latitude and longitude of stations located in San Jose city?
#
### SQL:
#
# SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the average latitude and longitude in San Jose?
#
### SQL:
#
# SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the id of the trip that has the shortest duration?
#
### SQL:
#
# SELECT id FROM trip ORDER BY duration LIMIT 1
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the id of the shortest trip?
#
### SQL:
#
# SELECT id FROM trip ORDER BY duration LIMIT 1
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the total and maximum duration of trips with bike id 636?
#
### SQL:
#
# SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the total and maximum duration for all trips with the bike id 636?
#
### SQL:
#
# SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each zip code, return the average mean temperature of August there.
#
### SQL:
#
# SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each zip code, what is the average mean temperature for all dates that start with '8'?
#
### SQL:
#
# SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# From the trip record, find the number of unique bikes.
#
### SQL:
#
# SELECT count(DISTINCT bike_id) FROM trip
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# How many different bike ids are there?
#
### SQL:
#
# SELECT count(DISTINCT bike_id) FROM trip
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the number of distinct cities the stations are located at?
#
### SQL:
#
# SELECT count(DISTINCT city) FROM station
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# How many different cities have these stations?
#
### SQL:
#
# SELECT count(DISTINCT city) FROM station
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# How many stations does Mountain View city has?
#
### SQL:
#
# SELECT COUNT(*) FROM station WHERE city = "Mountain View"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# How many stations are in Mountain View?
#
### SQL:
#
# SELECT COUNT(*) FROM station WHERE city = "Mountain View"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Return the unique name for stations that have ever had 7 bikes available.
#
### SQL:
#
# SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the different names for each station that has ever had 7 bikes available?
#
### SQL:
#
# SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Which start station had the most trips starting from August? Give me the name and id of the station.
#
### SQL:
#
# 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
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the start station's name and id for the one that had the most start trips in August?
#
### SQL:
#
# 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
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Which bike traveled the most often in zip code 94002?
#
### SQL:
#
# SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the id of the bike that traveled the most in 94002?
#
### SQL:
#
# SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# How many days had both mean humidity above 50 and mean visibility above 8?
#
### SQL:
#
# SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the number of days that had an average humity above 50 and an average visibility above 8?
#
### SQL:
#
# SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the latitude, longitude, city of the station from which the shortest trip started?
#
### SQL:
#
# SELECT T1.lat , T1.long , T1.city FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id ORDER BY T2.duration LIMIT 1
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the latitude, longitude, and city of the station from which the trip with smallest duration started?
#
### SQL:
#
# SELECT T1.lat , T1.long , T1.city FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id ORDER BY T2.duration LIMIT 1
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the ids of stations that are located in San Francisco and have average bike availability above 10.
#
### SQL:
#
# SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the ids of the stations in San Francisco that normally have more than 10 bikes available?
#
### SQL:
#
# SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?
#
### SQL:
#
# 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/%"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December?
#
### SQL:
#
# 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/%"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the 3 most common cloud cover rates in the region of zip code 94107?
#
### SQL:
#
# SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the 3 most common cloud covers in the zip code of 94107?
#
### SQL:
#
# SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the zip code in which the average mean sea level pressure is the lowest?
#
### SQL:
#
# SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the zip code that has the lowest average mean sea level pressure?
#
### SQL:
#
# SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the average bike availability in stations that are not located in Palo Alto?
#
### SQL:
#
# SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the average bike availablility for stations not in Palo Alto?
#
### SQL:
#
# SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto")
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the average longitude of stations that never had bike availability more than 10?
#
### SQL:
#
# SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10)
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the mean longitude for all stations that have never had more than 10 bikes available?
#
### SQL:
#
# SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10)
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# When and in what zip code did max temperature reach 80?
#
### SQL:
#
# SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What zip codes have a station with a max temperature greater than or equal to 80 and when did it reach that temperature?
#
### SQL:
#
# SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.
#
### SQL:
#
# 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
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each zip code, find the ids of all trips that have a higher average mean temperature above 60?
#
### SQL:
#
# 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
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each zip code, return how many times max wind speed reached 25?
#
### SQL:
#
# SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each zip code, how many times has the maximum wind speed reached 25 mph?
#
### SQL:
#
# SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# On which day and in which zip code was the min dew point lower than any day in zip code 94107?
#
### SQL:
#
# SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?
#
### SQL:
#
# SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each trip, return its ending station's installation date.
#
### SQL:
#
# SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the installation date for each ending station on all the trips?
#
### SQL:
#
# SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Which trip started from the station with the largest dock count? Give me the trip id.
#
### SQL:
#
# 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
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the id of the trip that started from the station with the highest dock count?
#
### SQL:
#
# 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
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Count the number of trips that did not end in San Francisco city.
#
### SQL:
#
# SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# How many trips did not end in San Francisco?
#
### SQL:
#
# SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# In zip code 94107, on which day neither Fog nor Rain was not observed?
#
### SQL:
#
# SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# On which day has it neither been foggy nor rained in the zip code of 94107?
#
### SQL:
#
# SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?
#
### SQL:
#
# SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the ids of all stations that have a latitude above 37.4 and have never had less than 7 bikes available?
#
### SQL:
#
# SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are names of stations that have average bike availability above 10 and are not located in San Jose city?
#
### SQL:
#
# 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"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the names of all stations that have more than 10 bikes available and are not located in San Jose?
#
### SQL:
#
# 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"
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the name, latitude, and city of the station with the lowest latitude?
#
### SQL:
#
# SELECT name , lat , city FROM station ORDER BY lat LIMIT 1
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the name, latitude, and city of the station that is located the furthest South?
#
### SQL:
#
# SELECT name , lat , city FROM station ORDER BY lat LIMIT 1
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds?
#
### SQL:
#
# SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?
#
### SQL:
#
# SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# List the name and the number of stations for all the cities that have at least 15 stations.
#
### SQL:
#
# SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What is the name of every city that has at least 15 stations and how many stations does it have?
#
### SQL:
#
# SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Find the ids and names of stations from which at least 200 trips started.
#
### SQL:
#
# SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the ids and names of all start stations that were the beginning of at least 200 trips?
#
### SQL:
#
# SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Find the zip code in which the average mean visibility is lower than 10.
#
### SQL:
#
# SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each zip code, select all those that have an average mean visiblity below 10.
#
### SQL:
#
# SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# List all the cities in a decreasing order of each city's stations' highest latitude.
#
### SQL:
#
# SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each city, list their names in decreasing order by their highest station latitude.
#
### SQL:
#
# SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.
#
### SQL:
#
# SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the dates that have the 5 highest cloud cover rates and what are the rates?
#
### SQL:
#
# SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the ids and durations of the trips with the top 3 durations?
#
### SQL:
#
# SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the ids of the trips that lasted the longest and how long did they last?
#
### SQL:
#
# SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each station, return its longitude and the average duration of trips that started from the station.
#
### SQL:
#
# SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each start station id, what is its name, longitude and average duration of trips started there?
#
### SQL:
#
# SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each station, find its latitude and the minimum duration of trips that ended at the station.
#
### SQL:
#
# SELECT T1.name , T1.lat , min(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# For each end station id, what is its name, latitude, and minimum duration for trips ended there?
#
### SQL:
#
# SELECT T1.name , T1.lat , min(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# List all the distinct stations from which a trip of duration below 100 started.
#
### SQL:
#
# SELECT DISTINCT start_station_name FROM trip WHERE duration < 100
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are all the different start station names for a trip that lasted less than 100?
#
### SQL:
#
# SELECT DISTINCT start_station_name FROM trip WHERE duration < 100
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Find all the zip codes in which the max dew point have never reached 70.
#
### SQL:
#
# SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are all the different zip codes that have a maximum dew point that was always below 70?
#
### SQL:
#
# SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.
#
### SQL:
#
# SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103?
#
### SQL:
#
# SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)
#
### End.
|
bike_1
|
### Complete SQL query only and with no explanation
### SQL tables followed by foreign key information:
#
# station ( id, name, lat, long, dock_count, city, installation_date )
# status ( station_id, bikes_available, docks_available, time )
# trip ( id, duration, start_date, start_station_name, start_station_id, end_date, end_station_name, end_station_id, bike_id, subscription_type, zip_code )
# weather ( date, max_temperature_f, mean_temperature_f, min_temperature_f, max_dew_point_f, mean_dew_point_f, min_dew_point_f, max_humidity, mean_humidity, min_humidity, max_sea_level_pressure_inches, mean_sea_level_pressure_inches, min_sea_level_pressure_inches, max_visibility_miles, mean_visibility_miles, min_visibility_miles, max_wind_Speed_mph, mean_wind_speed_mph, max_gust_speed_mph, precipitation_inches, cloud_cover, events, wind_dir_degrees, zip_code )
#
# status.station_id can be joined with station.id
#
### Question:
#
# What are the dates in which the mean sea level pressure was between 30.3 and 31?
#
### SQL:
#
# SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31
#
### End.
|
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