Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the ids of stations that are located in San Francisco and have average bike availability above 10. [/INST]

Output: SELECT id FROM station WHERE city  =  "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available)  >  10;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the ids of the stations in San Francisco that normally have more than 10 bikes available? [/INST]

Output: SELECT id FROM station WHERE city  =  "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available)  >  10;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the names and ids of stations that had more than 14 bikes available on average or were installed in December? [/INST]

Output: 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/%";


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December? [/INST]

Output: 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/%";


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the 3 most common cloud cover rates in the region of zip code 94107? [/INST]

Output: SELECT cloud_cover FROM weather WHERE zip_code  =  94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the 3 most common cloud covers in the zip code of 94107? [/INST]

Output: SELECT cloud_cover FROM weather WHERE zip_code  =  94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the zip code in which the average mean sea level pressure is the lowest? [/INST]

Output: SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the zip code that has the lowest average mean sea level pressure? [/INST]

Output: SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the average bike availability in stations that are not located in Palo Alto? [/INST]

Output: SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city  =  "Palo Alto");


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the average bike availablility for stations not in Palo Alto? [/INST]

Output: SELECT avg(bikes_available) FROM status WHERE station_id NOT IN (SELECT id FROM station WHERE city  =  "Palo Alto");


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the average longitude of stations that never had bike availability more than 10? [/INST]

Output: SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available)  >  10);


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the mean longitude for all stations that have never had more than 10 bikes available? [/INST]

Output: SELECT avg(long) FROM station WHERE id NOT IN (SELECT station_id FROM status GROUP BY station_id HAVING max(bikes_available)  >  10);


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: When and in what zip code did max temperature reach 80? [/INST]

Output: SELECT date ,  zip_code FROM weather WHERE max_temperature_f  >=  80;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What zip codes have a station with a max temperature greater than or equal to 80 and when did it reach that temperature? [/INST]

Output: SELECT date ,  zip_code FROM weather WHERE max_temperature_f  >=  80;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: Give me ids for all the trip that took place in a zip code area with average mean temperature above 60. [/INST]

Output: 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;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: For each zip code, find the ids of all trips that have a higher average mean temperature above 60? [/INST]

Output: 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;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: For each zip code, return how many times max wind speed reached 25? [/INST]

Output: SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph  >=  25 GROUP BY zip_code;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: For each zip code, how many times has the maximum wind speed reached 25 mph? [/INST]

Output: SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph  >=  25 GROUP BY zip_code;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: On which day and in which zip code was the min dew point lower than any day in zip code 94107? [/INST]

Output: SELECT date ,  zip_code FROM weather WHERE min_dew_point_f  <  (SELECT min(min_dew_point_f) FROM weather WHERE zip_code  =  94107);


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken? [/INST]

Output: SELECT date ,  zip_code FROM weather WHERE min_dew_point_f  <  (SELECT min(min_dew_point_f) FROM weather WHERE zip_code  =  94107);


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: For each trip, return its ending station's installation date. [/INST]

Output: SELECT T1.id ,  T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the installation date for each ending station on all the trips? [/INST]

Output: SELECT T1.id ,  T2.installation_date FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: Which trip started from the station with the largest dock count? Give me the trip id. [/INST]

Output: 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;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the id of the trip that started from the station with the highest dock count? [/INST]

Output: 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;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: Count the number of trips that did not end in San Francisco city. [/INST]

Output: SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id WHERE T2.city !=  "San Francisco";


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: How many trips did not end in San Francisco? [/INST]

Output: SELECT count(*) FROM trip AS T1 JOIN station AS T2 ON T1.end_station_id  =  T2.id WHERE T2.city != "San Francisco";


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: In zip code 94107, on which day neither Fog nor Rain was not observed? [/INST]

Output: SELECT date FROM weather WHERE zip_code  =  94107 AND EVENTS != "Fog" AND EVENTS != "Rain";


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: On which day has it neither been foggy nor rained in the zip code of 94107? [/INST]

Output: SELECT date FROM weather WHERE zip_code  =  94107 AND EVENTS != "Fog" AND EVENTS != "Rain";


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the ids of stations that have latitude above 37.4 and never had bike availability below 7? [/INST]

Output: SELECT id FROM station WHERE lat  >  37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available)  <  7;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the ids of all stations that have a latitude above 37.4 and have never had less than 7 bikes available? [/INST]

Output: SELECT id FROM station WHERE lat  >  37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available)  <  7;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are names of stations that have average bike availability above 10 and are not located in San Jose city? [/INST]

Output: 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";


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the names of all stations that have more than 10 bikes available and are not located in San Jose? [/INST]

Output: 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";


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the name, latitude, and city of the station with the lowest latitude? [/INST]

Output: SELECT name ,  lat ,  city FROM station ORDER BY lat LIMIT 1;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the name, latitude, and city of the station that is located the furthest South? [/INST]

Output: SELECT name ,  lat ,  city FROM station ORDER BY lat LIMIT 1;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds? [/INST]

Output: SELECT date ,  mean_temperature_f ,  mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds? [/INST]

Output: SELECT date ,  mean_temperature_f ,  mean_humidity FROM weather ORDER BY max_gust_speed_mph DESC LIMIT 3;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: List the name and the number of stations for all the cities that have at least 15 stations. [/INST]

Output: SELECT city ,  COUNT(*) FROM station GROUP BY city HAVING COUNT(*)  >=  15;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What is the name of every city that has at least 15 stations and how many stations does it have? [/INST]

Output: SELECT city ,  COUNT(*) FROM station GROUP BY city HAVING COUNT(*)  >=  15;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: Find the ids and names of stations from which at least 200 trips started. [/INST]

Output: SELECT start_station_id ,  start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*)  >=  200;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the ids and names of all start stations that were the beginning of at least 200 trips? [/INST]

Output: SELECT start_station_id ,  start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*)  >=  200;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: Find the zip code in which the average mean visibility is lower than 10. [/INST]

Output: SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles)  <  10;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: For each zip code, select all those that have an average mean visiblity below 10. [/INST]

Output: SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles)  <  10;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: List all the cities in a decreasing order of each city's stations' highest latitude. [/INST]

Output: SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: For each city, list their names in decreasing order by their highest station latitude. [/INST]

Output: SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate. [/INST]

Output: SELECT date ,  cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the dates that have the 5 highest cloud cover rates and what are the rates? [/INST]

Output: SELECT date ,  cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the ids and durations of the trips with the top 3 durations? [/INST]

Output: SELECT id ,  duration FROM trip ORDER BY duration DESC LIMIT 3;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the ids of the trips that lasted the longest and how long did they last? [/INST]

Output: SELECT id ,  duration FROM trip ORDER BY duration DESC LIMIT 3;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: For each station, return its longitude and the average duration of trips that started from the station. [/INST]

Output: 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;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: For each start station id, what is its name, longitude and average duration of trips started there? [/INST]

Output: 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;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: For each station, find its latitude and the minimum duration of trips that ended at the station. [/INST]

Output: 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;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: For each end station id, what is its name, latitude, and minimum duration for trips ended there? [/INST]

Output: 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;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: List all the distinct stations from which a trip of duration below 100 started. [/INST]

Output: SELECT DISTINCT start_station_name FROM trip WHERE duration  <  100;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are all the different start station names for a trip that lasted less than 100? [/INST]

Output: SELECT DISTINCT start_station_name FROM trip WHERE duration  <  100;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: Find all the zip codes in which the max dew point have never reached 70. [/INST]

Output: SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f  >=  70;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are all the different zip codes that have a maximum dew point that was always below 70? [/INST]

Output: SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f  >=  70;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103. [/INST]

Output: SELECT id FROM trip WHERE duration  >=  (SELECT avg(duration) FROM trip WHERE zip_code  =  94103);


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103? [/INST]

Output: SELECT id FROM trip WHERE duration  >=  (SELECT avg(duration) FROM trip WHERE zip_code  =  94103);


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the dates in which the mean sea level pressure was between 30.3 and 31? [/INST]

Output: SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the dates that have an average sea level pressure between 30.3 and 31? [/INST]

Output: SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: Find the day in which the difference between the max temperature and min temperature was the smallest. Also report the difference. [/INST]

Output: SELECT date ,  max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the days that had the smallest temperature range, and what was that range? [/INST]

Output: SELECT date ,  max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the id and name of the stations that have ever had more than 12 bikes available? [/INST]

Output: SELECT DISTINCT T1.id ,  T1.name FROM station AS T1 JOIN status AS T2 ON T1.id  =  T2.station_id WHERE T2.bikes_available  >  12;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the different ids and names of the stations that have had more than 12 bikes available? [/INST]

Output: SELECT DISTINCT T1.id ,  T1.name FROM station AS T1 JOIN status AS T2 ON T1.id  =  T2.station_id WHERE T2.bikes_available  >  12;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: Give me the zip code where the average mean humidity is below 70 and at least 100 trips took place. [/INST]

Output: SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_humidity)  <  70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING count(*)  >=  100;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the zip codes that have an average mean humidity below 70 and had at least 100 trips come through there? [/INST]

Output: SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_humidity)  <  70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING count(*)  >=  100;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the names of stations that are located in Palo Alto city but have never been the ending point of trips more than 100 times? [/INST]

Output: SELECT name FROM station WHERE city  =  "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*)  >  100;


Input:
[INST] Here is a 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 ]

Please write me a SQL statement that answers the following question: What are the names of the stations that are located in Palo Alto but have never been the ending point of the trips [/INST]

Output: SELECT name FROM station WHERE city  =  "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*)  >  100;