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-- Database schema
| Addresses : address_id [ INT ] primary_key , line_1 [ TEXT ] , line_2 [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] | People : person_id [ INT ] primary_key , first_name [ TEXT ] , middle_name [ TEXT ] , last_name [ TEXT ] , cell_mobile_number [ TEXT ] , email_address [ TEXT ] , login_name [ TEXT ] , password [ TEXT ] | Students : student_id [ INT ] primary_key Students.student_id = People.person_id , student_details [ TEXT ] | Courses : course_id [ TEXT ] primary_key , course_name [ TEXT ] , course_description [ TEXT ] , other_details [ TEXT ] | People_Addresses : person_address_id [ INT ] primary_key , person_id [ INT ] People_Addresses.person_id = People.person_id , address_id [ INT ] People_Addresses.address_id = Addresses.address_id , date_from [ TEXT ] , date_to [ TEXT ] | Student_Course_Registrations : student_id [ INT ] primary_key Student_Course_Registrations.student_id = Students.student_id , course_id [ INT ] Student_Course_Registrations.course_id = Courses.course_id , registration_date [ TEXT ] | Student_Course_Attendance : student_id [ INT ] primary_key Student_Course_Attendance.student_id = Student_Course_Registrations.student_id , course_id [ INT ] Student_Course_Attendance.course_id = Student_Course_Registrations.course_id , date_of_attendance [ TEXT ] | Candidates : candidate_id [ INT ] primary_key Candidates.candidate_id = People.person_id , candidate_details [ TEXT ] | Candidate_Assessments : candidate_id [ INT ] primary_key Candidate_Assessments.candidate_id = Candidates.candidate_id , qualification [ TEXT ] , assessment_date [ TEXT ] , asessment_outcome_code [ TEXT ] |
-- -- What are the ids of the students who either registered or attended a course?
| SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , line_1 [ TEXT ] , line_2 [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] | People : person_id [ INT ] primary_key , first_name [ TEXT ] , middle_name [ TEXT ] , last_name [ TEXT ] , cell_mobile_number [ TEXT ] , email_address [ TEXT ] , login_name [ TEXT ] , password [ TEXT ] | Students : student_id [ INT ] primary_key Students.student_id = People.person_id , student_details [ TEXT ] | Courses : course_id [ TEXT ] primary_key , course_name [ TEXT ] , course_description [ TEXT ] , other_details [ TEXT ] | People_Addresses : person_address_id [ INT ] primary_key , person_id [ INT ] People_Addresses.person_id = People.person_id , address_id [ INT ] People_Addresses.address_id = Addresses.address_id , date_from [ TEXT ] , date_to [ TEXT ] | Student_Course_Registrations : student_id [ INT ] primary_key Student_Course_Registrations.student_id = Students.student_id , course_id [ INT ] Student_Course_Registrations.course_id = Courses.course_id , registration_date [ TEXT ] | Student_Course_Attendance : student_id [ INT ] primary_key Student_Course_Attendance.student_id = Student_Course_Registrations.student_id , course_id [ INT ] Student_Course_Attendance.course_id = Student_Course_Registrations.course_id , date_of_attendance [ TEXT ] | Candidates : candidate_id [ INT ] primary_key Candidates.candidate_id = People.person_id , candidate_details [ TEXT ] | Candidate_Assessments : candidate_id [ INT ] primary_key Candidate_Assessments.candidate_id = Candidates.candidate_id , qualification [ TEXT ] , assessment_date [ TEXT ] , asessment_outcome_code [ TEXT ] |
-- -- Find the id of courses which are registered or attended by student whose id is 121?
| SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , line_1 [ TEXT ] , line_2 [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] | People : person_id [ INT ] primary_key , first_name [ TEXT ] , middle_name [ TEXT ] , last_name [ TEXT ] , cell_mobile_number [ TEXT ] , email_address [ TEXT ] , login_name [ TEXT ] , password [ TEXT ] | Students : student_id [ INT ] primary_key Students.student_id = People.person_id , student_details [ TEXT ] | Courses : course_id [ TEXT ] primary_key , course_name [ TEXT ] , course_description [ TEXT ] , other_details [ TEXT ] | People_Addresses : person_address_id [ INT ] primary_key , person_id [ INT ] People_Addresses.person_id = People.person_id , address_id [ INT ] People_Addresses.address_id = Addresses.address_id , date_from [ TEXT ] , date_to [ TEXT ] | Student_Course_Registrations : student_id [ INT ] primary_key Student_Course_Registrations.student_id = Students.student_id , course_id [ INT ] Student_Course_Registrations.course_id = Courses.course_id , registration_date [ TEXT ] | Student_Course_Attendance : student_id [ INT ] primary_key Student_Course_Attendance.student_id = Student_Course_Registrations.student_id , course_id [ INT ] Student_Course_Attendance.course_id = Student_Course_Registrations.course_id , date_of_attendance [ TEXT ] | Candidates : candidate_id [ INT ] primary_key Candidates.candidate_id = People.person_id , candidate_details [ TEXT ] | Candidate_Assessments : candidate_id [ INT ] primary_key Candidate_Assessments.candidate_id = Candidates.candidate_id , qualification [ TEXT ] , assessment_date [ TEXT ] , asessment_outcome_code [ TEXT ] |
-- -- What are the ids of the courses that are registered or attended by the student whose id is 121?
| SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , line_1 [ TEXT ] , line_2 [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] | People : person_id [ INT ] primary_key , first_name [ TEXT ] , middle_name [ TEXT ] , last_name [ TEXT ] , cell_mobile_number [ TEXT ] , email_address [ TEXT ] , login_name [ TEXT ] , password [ TEXT ] | Students : student_id [ INT ] primary_key Students.student_id = People.person_id , student_details [ TEXT ] | Courses : course_id [ TEXT ] primary_key , course_name [ TEXT ] , course_description [ TEXT ] , other_details [ TEXT ] | People_Addresses : person_address_id [ INT ] primary_key , person_id [ INT ] People_Addresses.person_id = People.person_id , address_id [ INT ] People_Addresses.address_id = Addresses.address_id , date_from [ TEXT ] , date_to [ TEXT ] | Student_Course_Registrations : student_id [ INT ] primary_key Student_Course_Registrations.student_id = Students.student_id , course_id [ INT ] Student_Course_Registrations.course_id = Courses.course_id , registration_date [ TEXT ] | Student_Course_Attendance : student_id [ INT ] primary_key Student_Course_Attendance.student_id = Student_Course_Registrations.student_id , course_id [ INT ] Student_Course_Attendance.course_id = Student_Course_Registrations.course_id , date_of_attendance [ TEXT ] | Candidates : candidate_id [ INT ] primary_key Candidates.candidate_id = People.person_id , candidate_details [ TEXT ] | Candidate_Assessments : candidate_id [ INT ] primary_key Candidate_Assessments.candidate_id = Candidates.candidate_id , qualification [ TEXT ] , assessment_date [ TEXT ] , asessment_outcome_code [ TEXT ] |
-- -- What are all info of students who registered courses but not attended courses?
| SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance); |
-- Database schema
| Addresses : address_id [ INT ] primary_key , line_1 [ TEXT ] , line_2 [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] | People : person_id [ INT ] primary_key , first_name [ TEXT ] , middle_name [ TEXT ] , last_name [ TEXT ] , cell_mobile_number [ TEXT ] , email_address [ TEXT ] , login_name [ TEXT ] , password [ TEXT ] | Students : student_id [ INT ] primary_key Students.student_id = People.person_id , student_details [ TEXT ] | Courses : course_id [ TEXT ] primary_key , course_name [ TEXT ] , course_description [ TEXT ] , other_details [ TEXT ] | People_Addresses : person_address_id [ INT ] primary_key , person_id [ INT ] People_Addresses.person_id = People.person_id , address_id [ INT ] People_Addresses.address_id = Addresses.address_id , date_from [ TEXT ] , date_to [ TEXT ] | Student_Course_Registrations : student_id [ INT ] primary_key Student_Course_Registrations.student_id = Students.student_id , course_id [ INT ] Student_Course_Registrations.course_id = Courses.course_id , registration_date [ TEXT ] | Student_Course_Attendance : student_id [ INT ] primary_key Student_Course_Attendance.student_id = Student_Course_Registrations.student_id , course_id [ INT ] Student_Course_Attendance.course_id = Student_Course_Registrations.course_id , date_of_attendance [ TEXT ] | Candidates : candidate_id [ INT ] primary_key Candidates.candidate_id = People.person_id , candidate_details [ TEXT ] | Candidate_Assessments : candidate_id [ INT ] primary_key Candidate_Assessments.candidate_id = Candidates.candidate_id , qualification [ TEXT ] , assessment_date [ TEXT ] , asessment_outcome_code [ TEXT ] |
-- -- What are all details of the students who registered but did not attend any course?
| SELECT * FROM student_course_registrations WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance); |
-- Database schema
| Addresses : address_id [ INT ] primary_key , line_1 [ TEXT ] , line_2 [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] | People : person_id [ INT ] primary_key , first_name [ TEXT ] , middle_name [ TEXT ] , last_name [ TEXT ] , cell_mobile_number [ TEXT ] , email_address [ TEXT ] , login_name [ TEXT ] , password [ TEXT ] | Students : student_id [ INT ] primary_key Students.student_id = People.person_id , student_details [ TEXT ] | Courses : course_id [ TEXT ] primary_key , course_name [ TEXT ] , course_description [ TEXT ] , other_details [ TEXT ] | People_Addresses : person_address_id [ INT ] primary_key , person_id [ INT ] People_Addresses.person_id = People.person_id , address_id [ INT ] People_Addresses.address_id = Addresses.address_id , date_from [ TEXT ] , date_to [ TEXT ] | Student_Course_Registrations : student_id [ INT ] primary_key Student_Course_Registrations.student_id = Students.student_id , course_id [ INT ] Student_Course_Registrations.course_id = Courses.course_id , registration_date [ TEXT ] | Student_Course_Attendance : student_id [ INT ] primary_key Student_Course_Attendance.student_id = Student_Course_Registrations.student_id , course_id [ INT ] Student_Course_Attendance.course_id = Student_Course_Registrations.course_id , date_of_attendance [ TEXT ] | Candidates : candidate_id [ INT ] primary_key Candidates.candidate_id = People.person_id , candidate_details [ TEXT ] | Candidate_Assessments : candidate_id [ INT ] primary_key Candidate_Assessments.candidate_id = Candidates.candidate_id , qualification [ TEXT ] , assessment_date [ TEXT ] , asessment_outcome_code [ TEXT ] |
-- -- List the id of students who registered course statistics in the order of registration date.
| 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , line_1 [ TEXT ] , line_2 [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] | People : person_id [ INT ] primary_key , first_name [ TEXT ] , middle_name [ TEXT ] , last_name [ TEXT ] , cell_mobile_number [ TEXT ] , email_address [ TEXT ] , login_name [ TEXT ] , password [ TEXT ] | Students : student_id [ INT ] primary_key Students.student_id = People.person_id , student_details [ TEXT ] | Courses : course_id [ TEXT ] primary_key , course_name [ TEXT ] , course_description [ TEXT ] , other_details [ TEXT ] | People_Addresses : person_address_id [ INT ] primary_key , person_id [ INT ] People_Addresses.person_id = People.person_id , address_id [ INT ] People_Addresses.address_id = Addresses.address_id , date_from [ TEXT ] , date_to [ TEXT ] | Student_Course_Registrations : student_id [ INT ] primary_key Student_Course_Registrations.student_id = Students.student_id , course_id [ INT ] Student_Course_Registrations.course_id = Courses.course_id , registration_date [ TEXT ] | Student_Course_Attendance : student_id [ INT ] primary_key Student_Course_Attendance.student_id = Student_Course_Registrations.student_id , course_id [ INT ] Student_Course_Attendance.course_id = Student_Course_Registrations.course_id , date_of_attendance [ TEXT ] | Candidates : candidate_id [ INT ] primary_key Candidates.candidate_id = People.person_id , candidate_details [ TEXT ] | Candidate_Assessments : candidate_id [ INT ] primary_key Candidate_Assessments.candidate_id = Candidates.candidate_id , qualification [ TEXT ] , assessment_date [ TEXT ] , asessment_outcome_code [ TEXT ] |
-- -- What are the ids of the students who registered course statistics by order of registration date?
| 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; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , line_1 [ TEXT ] , line_2 [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] | People : person_id [ INT ] primary_key , first_name [ TEXT ] , middle_name [ TEXT ] , last_name [ TEXT ] , cell_mobile_number [ TEXT ] , email_address [ TEXT ] , login_name [ TEXT ] , password [ TEXT ] | Students : student_id [ INT ] primary_key Students.student_id = People.person_id , student_details [ TEXT ] | Courses : course_id [ TEXT ] primary_key , course_name [ TEXT ] , course_description [ TEXT ] , other_details [ TEXT ] | People_Addresses : person_address_id [ INT ] primary_key , person_id [ INT ] People_Addresses.person_id = People.person_id , address_id [ INT ] People_Addresses.address_id = Addresses.address_id , date_from [ TEXT ] , date_to [ TEXT ] | Student_Course_Registrations : student_id [ INT ] primary_key Student_Course_Registrations.student_id = Students.student_id , course_id [ INT ] Student_Course_Registrations.course_id = Courses.course_id , registration_date [ TEXT ] | Student_Course_Attendance : student_id [ INT ] primary_key Student_Course_Attendance.student_id = Student_Course_Registrations.student_id , course_id [ INT ] Student_Course_Attendance.course_id = Student_Course_Registrations.course_id , date_of_attendance [ TEXT ] | Candidates : candidate_id [ INT ] primary_key Candidates.candidate_id = People.person_id , candidate_details [ TEXT ] | Candidate_Assessments : candidate_id [ INT ] primary_key Candidate_Assessments.candidate_id = Candidates.candidate_id , qualification [ TEXT ] , assessment_date [ TEXT ] , asessment_outcome_code [ TEXT ] |
-- -- List the id of students who attended statistics courses in the order of attendance date.
| SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.date_of_attendance; |
-- Database schema
| Addresses : address_id [ INT ] primary_key , line_1 [ TEXT ] , line_2 [ TEXT ] , city [ TEXT ] , zip_postcode [ TEXT ] , state_province_county [ TEXT ] , country [ TEXT ] | People : person_id [ INT ] primary_key , first_name [ TEXT ] , middle_name [ TEXT ] , last_name [ TEXT ] , cell_mobile_number [ TEXT ] , email_address [ TEXT ] , login_name [ TEXT ] , password [ TEXT ] | Students : student_id [ INT ] primary_key Students.student_id = People.person_id , student_details [ TEXT ] | Courses : course_id [ TEXT ] primary_key , course_name [ TEXT ] , course_description [ TEXT ] , other_details [ TEXT ] | People_Addresses : person_address_id [ INT ] primary_key , person_id [ INT ] People_Addresses.person_id = People.person_id , address_id [ INT ] People_Addresses.address_id = Addresses.address_id , date_from [ TEXT ] , date_to [ TEXT ] | Student_Course_Registrations : student_id [ INT ] primary_key Student_Course_Registrations.student_id = Students.student_id , course_id [ INT ] Student_Course_Registrations.course_id = Courses.course_id , registration_date [ TEXT ] | Student_Course_Attendance : student_id [ INT ] primary_key Student_Course_Attendance.student_id = Student_Course_Registrations.student_id , course_id [ INT ] Student_Course_Attendance.course_id = Student_Course_Registrations.course_id , date_of_attendance [ TEXT ] | Candidates : candidate_id [ INT ] primary_key Candidates.candidate_id = People.person_id , candidate_details [ TEXT ] | Candidate_Assessments : candidate_id [ INT ] primary_key Candidate_Assessments.candidate_id = Candidates.candidate_id , qualification [ TEXT ] , assessment_date [ TEXT ] , asessment_outcome_code [ TEXT ] |
-- -- What are the ids of the students who attended courses in the statistics department in order of attendance date.
| SELECT T2.student_id FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.date_of_attendance; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Give me the dates when the max temperature was higher than 85.
| SELECT date FROM weather WHERE max_temperature_f > 85; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the dates with a maximum temperature higher than 85?
| SELECT date FROM weather WHERE max_temperature_f > 85; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the names of stations that have latitude lower than 37.5?
| SELECT name FROM station WHERE lat < 37.5; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the names of all stations with a latitude smaller than 37.5?
| SELECT name FROM station WHERE lat < 37.5; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each city, return the highest latitude among its stations.
| SELECT city , max(lat) FROM station GROUP BY city; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each city, what is the highest latitude for its stations?
| SELECT city , max(lat) FROM station GROUP BY city; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Give me the start station and end station for the trips with the three oldest id.
| SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the station station and end station for the trips with the three smallest ids?
| SELECT start_station_name , end_station_name FROM trip ORDER BY id LIMIT 3; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the average latitude and longitude of stations located in San Jose city?
| SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the average latitude and longitude in San Jose?
| SELECT avg(lat) , avg(long) FROM station WHERE city = "San Jose"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the id of the trip that has the shortest duration?
| SELECT id FROM trip ORDER BY duration LIMIT 1; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the id of the shortest trip?
| SELECT id FROM trip ORDER BY duration LIMIT 1; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the total and maximum duration of trips with bike id 636?
| SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the total and maximum duration for all trips with the bike id 636?
| SELECT sum(duration) , max(duration) FROM trip WHERE bike_id = 636; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each zip code, return the average mean temperature of August there.
| SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each zip code, what is the average mean temperature for all dates that start with '8'?
| SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- From the trip record, find the number of unique bikes.
| SELECT count(DISTINCT bike_id) FROM trip; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- How many different bike ids are there?
| SELECT count(DISTINCT bike_id) FROM trip; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the number of distinct cities the stations are located at?
| SELECT count(DISTINCT city) FROM station; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- How many different cities have these stations?
| SELECT count(DISTINCT city) FROM station; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- How many stations does Mountain View city has?
| SELECT COUNT(*) FROM station WHERE city = "Mountain View"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- How many stations are in Mountain View?
| SELECT COUNT(*) FROM station WHERE city = "Mountain View"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Return the unique name for stations that have ever had 7 bikes available.
| SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the different names for each station that has ever had 7 bikes available?
| SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Which start station had the most trips starting from August? Give me the name and id of the station.
| SELECT start_station_name , start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the start station's name and id for the one that had the most start trips in August?
| 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; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Which bike traveled the most often in zip code 94002?
| SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the id of the bike that traveled the most in 94002?
| SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- How many days had both mean humidity above 50 and mean visibility above 8?
| SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the number of days that had an average humity above 50 and an average visibility above 8?
| SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the latitude, longitude, city of the station from which the shortest trip started?
| 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; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the latitude, longitude, and city of the station from which the trip with smallest duration started?
| 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; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the ids of stations that are located in San Francisco and have average bike availability above 10.
| SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the ids of the stations in San Francisco that normally have more than 10 bikes available?
| SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?
| SELECT T1.name , T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(T2.bikes_available) > 14 UNION SELECT name , id FROM station WHERE installation_date LIKE "12/%"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December?
| SELECT T1.name , T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(T2.bikes_available) > 14 UNION SELECT name , id FROM station WHERE installation_date LIKE "12/%"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the 3 most common cloud cover rates in the region of zip code 94107?
| SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the 3 most common cloud covers in the zip code of 94107?
| SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the zip code in which the average mean sea level pressure is the lowest?
| SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the zip code that has the lowest average mean sea level pressure?
| SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the average bike availability in stations that are not located in Palo Alto?
| SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto"); |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the average bike availablility for stations not in Palo Alto?
| SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city = "Palo Alto"); |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the average longitude of stations that never had bike availability more than 10?
| SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10); |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the mean longitude for all stations that have never had more than 10 bikes available?
| SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available) > 10); |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- When and in what zip code did max temperature reach 80?
| SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What zip codes have a station with a max temperature greater than or equal to 80 and when did it reach that temperature?
| SELECT date , zip_code FROM weather WHERE max_temperature_f >= 80; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.
| SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each zip code, find the ids of all trips that have a higher average mean temperature above 60?
| SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each zip code, return how many times max wind speed reached 25?
| SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each zip code, how many times has the maximum wind speed reached 25 mph?
| SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- On which day and in which zip code was the min dew point lower than any day in zip code 94107?
| SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107); |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?
| SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107); |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each trip, return its ending station's installation date.
| SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the installation date for each ending station on all the trips?
| SELECT T1.id , T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Which trip started from the station with the largest dock count? Give me the trip id.
| SELECT T1.id FROM trip AS T1 JOIN station AS T2 ON T1.start_station_id = T2.id ORDER BY T2.dock_count DESC LIMIT 1; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the id of the trip that started from the station with the highest dock count?
| 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; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Count the number of trips that did not end in San Francisco city.
| SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- How many trips did not end in San Francisco?
| SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city != "San Francisco"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- In zip code 94107, on which day neither Fog nor Rain was not observed?
| SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- On which day has it neither been foggy nor rained in the zip code of 94107?
| SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS != "Fog" AND EVENTS != "Rain"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?
| SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the ids of all stations that have a latitude above 37.4 and have never had less than 7 bikes available?
| SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are names of stations that have average bike availability above 10 and are not located in San Jose city?
| SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the names of all stations that have more than 10 bikes available and are not located in San Jose?
| 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"; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the name, latitude, and city of the station with the lowest latitude?
| SELECT name , lat , city FROM station ORDER BY lat LIMIT 1; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the name, latitude, and city of the station that is located the furthest South?
| SELECT name , lat , city FROM station ORDER BY lat LIMIT 1; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds?
| SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?
| SELECT date , mean_temperature_f , mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- List the name and the number of stations for all the cities that have at least 15 stations.
| SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What is the name of every city that has at least 15 stations and how many stations does it have?
| SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Find the ids and names of stations from which at least 200 trips started.
| SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the ids and names of all start stations that were the beginning of at least 200 trips?
| SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Find the zip code in which the average mean visibility is lower than 10.
| SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each zip code, select all those that have an average mean visiblity below 10.
| SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- List all the cities in a decreasing order of each city's stations' highest latitude.
| SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each city, list their names in decreasing order by their highest station latitude.
| SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.
| SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the dates that have the 5 highest cloud cover rates and what are the rates?
| SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the ids and durations of the trips with the top 3 durations?
| SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the ids of the trips that lasted the longest and how long did they last?
| SELECT id , duration FROM trip ORDER BY duration DESC LIMIT 3; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each station, return its longitude and the average duration of trips that started from the station.
| 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; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each start station id, what is its name, longitude and average duration of trips started there?
| 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; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each station, find its latitude and the minimum duration of trips that ended at the station.
| 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; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- For each end station id, what is its name, latitude, and minimum duration for trips ended there?
| 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; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- List all the distinct stations from which a trip of duration below 100 started.
| SELECT DISTINCT start_station_name FROM trip WHERE duration < 100; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are all the different start station names for a trip that lasted less than 100?
| SELECT DISTINCT start_station_name FROM trip WHERE duration < 100; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Find all the zip codes in which the max dew point have never reached 70.
| SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are all the different zip codes that have a maximum dew point that was always below 70?
| SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70; |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.
| SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103); |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103?
| SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103); |
-- Database schema
| station : id [ INT ] primary_key , name [ TEXT ] , lat [ INT ] , long [ INT ] , dock_count [ INT ] , city [ TEXT ] , installation_date [ TEXT ] | status : station_id [ INT ] status.station_id = station.id , bikes_available [ INT ] , docks_available [ INT ] , time [ TEXT ] | trip : id [ INT ] primary_key , duration [ INT ] , start_date [ TEXT ] , start_station_name [ TEXT ] , start_station_id [ INT ] , end_date [ TEXT ] , end_station_name [ TEXT ] , end_station_id [ INT ] , bike_id [ INT ] , subscription_type [ TEXT ] , zip_code [ INT ] | weather : date [ TEXT ] , max_temperature_f [ INT ] , mean_temperature_f [ INT ] , min_temperature_f [ INT ] , max_dew_point_f [ INT ] , mean_dew_point_f [ INT ] , min_dew_point_f [ INT ] , max_humidity [ INT ] , mean_humidity [ INT ] , min_humidity [ INT ] , max_sea_level_pressure_inches [ INT ] , mean_sea_level_pressure_inches [ INT ] , min_sea_level_pressure_inches [ INT ] , max_visibility_miles [ INT ] , mean_visibility_miles [ INT ] , min_visibility_miles [ INT ] , max_wind_Speed_mph [ INT ] , mean_wind_speed_mph [ INT ] , max_gust_speed_mph [ INT ] , precipitation_inches [ INT ] , cloud_cover [ INT ] , events [ TEXT ] , wind_dir_degrees [ INT ] , zip_code [ INT ] |
-- -- What are the dates in which the mean sea level pressure was between 30.3 and 31?
| SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31; |