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What are the ids of the students who either registered or attended a course?
Additional table information: table: student_assessment | SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance |
Find the id of courses which are registered or attended by student whose id is 121?
Additional table information: table: student_assessment | SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121 |
What are the ids of the courses that are registered or attended by the student whose id is 121?
Additional table information: table: student_assessment | SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121 |
What are all info of students who registered courses but not attended courses?
Additional table information: table: student_assessment | SELECT * FROM student_course_registrations WHERE NOT student_id IN (SELECT student_id FROM student_course_attendance) |
What are all details of the students who registered but did not attend any course?
Additional table information: table: student_assessment | SELECT * FROM student_course_registrations WHERE NOT student_id IN (SELECT student_id FROM student_course_attendance) |
List the id of students who registered course statistics in the order of registration date.
Additional table information: table: student_assessment | 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 NULLS FIRST |
What are the ids of the students who registered course statistics by order of registration date?
Additional table information: table: student_assessment | 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 NULLS FIRST |
List the id of students who attended statistics courses in the order of attendance date.
Additional table information: table: student_assessment | 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 NULLS FIRST |
What are the ids of the students who attended courses in the statistics department in order of attendance date.
Additional table information: table: student_assessment | 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 NULLS FIRST |
Give me the dates when the max temperature was higher than 85.
Additional table information: table: bike_1 | SELECT date FROM weather WHERE max_temperature_f > 85 |
What are the dates with a maximum temperature higher than 85?
Additional table information: table: bike_1 | SELECT date FROM weather WHERE max_temperature_f > 85 |
What are the names of stations that have latitude lower than 37.5?
Additional table information: table: bike_1 | SELECT name FROM station WHERE lat < 37.5 |
What are the names of all stations with a latitude smaller than 37.5?
Additional table information: table: bike_1 | SELECT name FROM station WHERE lat < 37.5 |
For each city, return the highest latitude among its stations.
Additional table information: table: bike_1 | SELECT city, MAX(lat) FROM station GROUP BY city |
For each city, what is the highest latitude for its stations?
Additional table information: table: bike_1 | SELECT city, MAX(lat) FROM station GROUP BY city |
Give me the start station and end station for the trips with the three oldest id.
Additional table information: table: bike_1 | SELECT start_station_name, end_station_name FROM trip ORDER BY id NULLS FIRST LIMIT 3 |
What is the station station and end station for the trips with the three smallest ids?
Additional table information: table: bike_1 | SELECT start_station_name, end_station_name FROM trip ORDER BY id NULLS FIRST LIMIT 3 |
What is the average latitude and longitude of stations located in San Jose city?
Additional table information: table: bike_1 | SELECT AVG(lat), AVG(long) FROM station WHERE city = 'San Jose' |
What is the average latitude and longitude in San Jose?
Additional table information: table: bike_1 | SELECT AVG(lat), AVG(long) FROM station WHERE city = 'San Jose' |
What is the id of the trip that has the shortest duration?
Additional table information: table: bike_1 | SELECT id FROM trip ORDER BY duration NULLS FIRST LIMIT 1 |
What is the id of the shortest trip?
Additional table information: table: bike_1 | SELECT id FROM trip ORDER BY duration NULLS FIRST LIMIT 1 |
What is the total and maximum duration of trips with bike id 636?
Additional table information: table: bike_1 | SELECT SUM(duration), MAX(duration) FROM trip WHERE bike_id = 636 |
What is the total and maximum duration for all trips with the bike id 636?
Additional table information: table: bike_1 | SELECT SUM(duration), MAX(duration) FROM trip WHERE bike_id = 636 |
For each zip code, return the average mean temperature of August there.
Additional table information: table: bike_1 | SELECT zip_code, AVG(mean_temperature_f) FROM weather WHERE date LIKE '8/%' GROUP BY zip_code |
For each zip code, what is the average mean temperature for all dates that start with '8'?
Additional table information: table: bike_1 | SELECT zip_code, AVG(mean_temperature_f) FROM weather WHERE date LIKE '8/%' GROUP BY zip_code |
From the trip record, find the number of unique bikes.
Additional table information: table: bike_1 | SELECT COUNT(DISTINCT bike_id) FROM trip |
How many different bike ids are there?
Additional table information: table: bike_1 | SELECT COUNT(DISTINCT bike_id) FROM trip |
What is the number of distinct cities the stations are located at?
Additional table information: table: bike_1 | SELECT COUNT(DISTINCT city) FROM station |
How many different cities have these stations?
Additional table information: table: bike_1 | SELECT COUNT(DISTINCT city) FROM station |
How many stations does Mountain View city has?
Additional table information: table: bike_1 | SELECT COUNT(*) FROM station WHERE city = 'Mountain View' |
How many stations are in Mountain View?
Additional table information: table: bike_1 | SELECT COUNT(*) FROM station WHERE city = 'Mountain View' |
Return the unique name for stations that have ever had 7 bikes available.
Additional table information: table: bike_1 | SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7 |
What are the different names for each station that has ever had 7 bikes available?
Additional table information: table: bike_1 | SELECT DISTINCT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available = 7 |
Which start station had the most trips starting from August? Give me the name and id of the station.
Additional table information: table: bike_1 | 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 |
What are the start station's name and id for the one that had the most start trips in August?
Additional table information: table: bike_1 | 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 |
Which bike traveled the most often in zip code 94002?
Additional table information: table: bike_1 | SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1 |
What is the id of the bike that traveled the most in 94002?
Additional table information: table: bike_1 | SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1 |
How many days had both mean humidity above 50 and mean visibility above 8?
Additional table information: table: bike_1 | SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8 |
What is the number of days that had an average humity above 50 and an average visibility above 8?
Additional table information: table: bike_1 | SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8 |
What is the latitude, longitude, city of the station from which the shortest trip started?
Additional table information: table: bike_1 | 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 NULLS FIRST LIMIT 1 |
What is the latitude, longitude, and city of the station from which the trip with smallest duration started?
Additional table information: table: bike_1 | 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 NULLS FIRST LIMIT 1 |
What are the ids of stations that are located in San Francisco and have average bike availability above 10.
Additional table information: table: bike_1 | SELECT id FROM station WHERE city = 'San Francisco' INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING AVG(bikes_available) > 10 |
What are the ids of the stations in San Francisco that normally have more than 10 bikes available?
Additional table information: table: bike_1 | SELECT id FROM station WHERE city = 'San Francisco' INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING AVG(bikes_available) > 10 |
What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?
Additional table information: table: bike_1 | 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/%' |
What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December?
Additional table information: table: bike_1 | 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/%' |
What is the 3 most common cloud cover rates in the region of zip code 94107?
Additional table information: table: bike_1 | SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT(*) DESC LIMIT 3 |
What are the 3 most common cloud covers in the zip code of 94107?
Additional table information: table: bike_1 | SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT(*) DESC LIMIT 3 |
What is the zip code in which the average mean sea level pressure is the lowest?
Additional table information: table: bike_1 | SELECT zip_code FROM weather GROUP BY zip_code ORDER BY AVG(mean_sea_level_pressure_inches) NULLS FIRST LIMIT 1 |
What is the zip code that has the lowest average mean sea level pressure?
Additional table information: table: bike_1 | SELECT zip_code FROM weather GROUP BY zip_code ORDER BY AVG(mean_sea_level_pressure_inches) NULLS FIRST LIMIT 1 |
What is the average bike availability in stations that are not located in Palo Alto?
Additional table information: table: bike_1 | SELECT AVG(bikes_available) FROM status WHERE NOT station_id IN (SELECT id FROM station WHERE city = 'Palo Alto') |
What is the average bike availablility for stations not in Palo Alto?
Additional table information: table: bike_1 | SELECT AVG(bikes_available) FROM status WHERE NOT station_id IN (SELECT id FROM station WHERE city = 'Palo Alto') |
What is the average longitude of stations that never had bike availability more than 10?
Additional table information: table: bike_1 | SELECT AVG(long) FROM station WHERE NOT id IN (SELECT station_id FROM status GROUP BY station_id HAVING MAX(bikes_available) > 10) |
What is the mean longitude for all stations that have never had more than 10 bikes available?
Additional table information: table: bike_1 | SELECT AVG(long) FROM station WHERE NOT id IN (SELECT station_id FROM status GROUP BY station_id HAVING MAX(bikes_available) > 10) |
When and in what zip code did max temperature reach 80?
Additional table information: table: bike_1 | SELECT date, zip_code FROM weather WHERE max_temperature_f >= 80 |
What zip codes have a station with a max temperature greater than or equal to 80 and when did it reach that temperature?
Additional table information: table: bike_1 | SELECT date, zip_code FROM weather WHERE max_temperature_f >= 80 |
Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.
Additional table information: table: bike_1 | 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 |
For each zip code, find the ids of all trips that have a higher average mean temperature above 60?
Additional table information: table: bike_1 | 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 |
For each zip code, return how many times max wind speed reached 25?
Additional table information: table: bike_1 | SELECT zip_code, COUNT(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code |
For each zip code, how many times has the maximum wind speed reached 25 mph?
Additional table information: table: bike_1 | SELECT zip_code, COUNT(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code |
On which day and in which zip code was the min dew point lower than any day in zip code 94107?
Additional table information: table: bike_1 | SELECT date, zip_code FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) |
Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?
Additional table information: table: bike_1 | SELECT date, zip_code FROM weather WHERE min_dew_point_f < (SELECT MIN(min_dew_point_f) FROM weather WHERE zip_code = 94107) |
For each trip, return its ending station's installation date.
Additional table information: table: bike_1 | SELECT T1.id, T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id |
What is the installation date for each ending station on all the trips?
Additional table information: table: bike_1 | SELECT T1.id, T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id |
Which trip started from the station with the largest dock count? Give me the trip id.
Additional table information: table: bike_1 | 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 |
What is the id of the trip that started from the station with the highest dock count?
Additional table information: table: bike_1 | 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 |
Count the number of trips that did not end in San Francisco city.
Additional table information: table: bike_1 | SELECT COUNT(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city <> 'San Francisco' |
How many trips did not end in San Francisco?
Additional table information: table: bike_1 | SELECT COUNT(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id = T2.id WHERE T2.city <> 'San Francisco' |
In zip code 94107, on which day neither Fog nor Rain was not observed?
Additional table information: table: bike_1 | SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS <> 'Fog' AND EVENTS <> 'Rain' |
On which day has it neither been foggy nor rained in the zip code of 94107?
Additional table information: table: bike_1 | SELECT date FROM weather WHERE zip_code = 94107 AND EVENTS <> 'Fog' AND EVENTS <> 'Rain' |
What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?
Additional table information: table: bike_1 | SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING MIN(bikes_available) < 7 |
What are the ids of all stations that have a latitude above 37.4 and have never had less than 7 bikes available?
Additional table information: table: bike_1 | SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING MIN(bikes_available) < 7 |
What are names of stations that have average bike availability above 10 and are not located in San Jose city?
Additional table information: table: bike_1 | 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' |
What are the names of all stations that have more than 10 bikes available and are not located in San Jose?
Additional table information: table: bike_1 | 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' |
What are the name, latitude, and city of the station with the lowest latitude?
Additional table information: table: bike_1 | SELECT name, lat, city FROM station ORDER BY lat NULLS FIRST LIMIT 1 |
What is the name, latitude, and city of the station that is located the furthest South?
Additional table information: table: bike_1 | SELECT name, lat, city FROM station ORDER BY lat NULLS FIRST LIMIT 1 |
What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds?
Additional table information: table: bike_1 | SELECT date, mean_temperature_f, mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3 |
What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?
Additional table information: table: bike_1 | SELECT date, mean_temperature_f, mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3 |
List the name and the number of stations for all the cities that have at least 15 stations.
Additional table information: table: bike_1 | SELECT city, COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15 |
What is the name of every city that has at least 15 stations and how many stations does it have?
Additional table information: table: bike_1 | SELECT city, COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15 |
Find the ids and names of stations from which at least 200 trips started.
Additional table information: table: bike_1 | SELECT start_station_id, start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200 |
What are the ids and names of all start stations that were the beginning of at least 200 trips?
Additional table information: table: bike_1 | SELECT start_station_id, start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200 |
Find the zip code in which the average mean visibility is lower than 10.
Additional table information: table: bike_1 | SELECT zip_code FROM weather GROUP BY zip_code HAVING AVG(mean_visibility_miles) < 10 |
For each zip code, select all those that have an average mean visiblity below 10.
Additional table information: table: bike_1 | SELECT zip_code FROM weather GROUP BY zip_code HAVING AVG(mean_visibility_miles) < 10 |
List all the cities in a decreasing order of each city's stations' highest latitude.
Additional table information: table: bike_1 | SELECT city FROM station GROUP BY city ORDER BY MAX(lat) DESC |
For each city, list their names in decreasing order by their highest station latitude.
Additional table information: table: bike_1 | SELECT city FROM station GROUP BY city ORDER BY MAX(lat) DESC |
What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.
Additional table information: table: bike_1 | SELECT date, cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5 |
What are the dates that have the 5 highest cloud cover rates and what are the rates?
Additional table information: table: bike_1 | SELECT date, cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5 |
What are the ids and durations of the trips with the top 3 durations?
Additional table information: table: bike_1 | SELECT id, duration FROM trip ORDER BY duration DESC LIMIT 3 |
What are the ids of the trips that lasted the longest and how long did they last?
Additional table information: table: bike_1 | SELECT id, duration FROM trip ORDER BY duration DESC LIMIT 3 |
For each station, return its longitude and the average duration of trips that started from the station.
Additional table information: table: bike_1 | 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 |
For each start station id, what is its name, longitude and average duration of trips started there?
Additional table information: table: bike_1 | 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 |
For each station, find its latitude and the minimum duration of trips that ended at the station.
Additional table information: table: bike_1 | 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 |
For each end station id, what is its name, latitude, and minimum duration for trips ended there?
Additional table information: table: bike_1 | 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 |
List all the distinct stations from which a trip of duration below 100 started.
Additional table information: table: bike_1 | SELECT DISTINCT start_station_name FROM trip WHERE duration < 100 |
What are all the different start station names for a trip that lasted less than 100?
Additional table information: table: bike_1 | SELECT DISTINCT start_station_name FROM trip WHERE duration < 100 |
Find all the zip codes in which the max dew point have never reached 70.
Additional table information: table: bike_1 | SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70 |
What are all the different zip codes that have a maximum dew point that was always below 70?
Additional table information: table: bike_1 | SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70 |
Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.
Additional table information: table: bike_1 | SELECT id FROM trip WHERE duration >= (SELECT AVG(duration) FROM trip WHERE zip_code = 94103) |
What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103?
Additional table information: table: bike_1 | SELECT id FROM trip WHERE duration >= (SELECT AVG(duration) FROM trip WHERE zip_code = 94103) |
What are the dates in which the mean sea level pressure was between 30.3 and 31?
Additional table information: table: bike_1 | SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31 |