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Find the team names of the universities whose enrollments are smaller than the average enrollment size.
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT t2.team_name FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE enrollment < (SELECT avg(enrollment) FROM university)
What are the names of teams from universities that have a below average enrollment?
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT t2.team_name FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE enrollment < (SELECT avg(enrollment) FROM university)
Find the number of universities that have over a 20000 enrollment size for each affiliation type.
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation
What are the different affiliations, and how many schools with each have an enrollment size of above 20000?
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation
Find the total number of students enrolled in the colleges that were founded after the year of 1850 for each affiliation type.
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation
What are the different affiliations, and what is the total enrollment of schools founded after 1850 for each enrollment type?
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation
What is the maximum enrollment across all schools?
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT max(Enrollment) FROM university
Return the maximum enrollment across all schools.
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT max(Enrollment) FROM university
List all information regarding the basketball match.
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT * FROM basketball_match
What is all the information about the basketball match?
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT * FROM basketball_match
List names of all teams in the basketball competition, ordered by all home scores in descending order.
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT team_name FROM basketball_match ORDER BY All_Home DESC
What are the names of all the teams in the basketball competition, sorted by all home scores in descending order?
basketball_match: Team_ID (INT), School_ID (INT), Team_Name (TEXT), ACC_Regular_Season (TEXT), ACC_Percent (TEXT), ACC_Home (TEXT), ACC_Road (TEXT), All_Games (TEXT), All_Games_Percent (INT), All_Home (TEXT), All_Road (TEXT), All_Neutral (TEXT) university: School_ID (INT), School (TEXT), Location (TEXT), Founded (REAL), Affiliation (TEXT), Enrollment (REAL), Nickname (TEXT), Primary_conference (TEXT)
SELECT team_name FROM basketball_match ORDER BY All_Home DESC
the names of models that launched between 2002 and 2004.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT Model_name FROM chip_model WHERE Launch_year BETWEEN 2002 AND 2004;
Which model has the least amount of RAM? List the model name and the amount of RAM.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT Model_name , RAM_MiB FROM chip_model ORDER BY RAM_MiB ASC LIMIT 1;
What are the chip model and screen mode of the phone with hardware model name "LG-P760"?
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT chip_model , screen_mode FROM phone WHERE Hardware_Model_name = "LG-P760";
How many phone hardware models are produced by the company named "Nokia Corporation"?
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT count(*) FROM phone WHERE Company_name = "Nokia Corporation";
What is maximum and minimum RAM size of phone produced by company named "Nokia Corporation"?
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT max(T1.RAM_MiB) , min(T1.RAM_MiB) FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T2.Company_name = "Nokia Corporation";
What is the average ROM size of phones produced by the company named "Nokia Corporation"?
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT avg(T1.ROM_MiB) FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T2.Company_name = "Nokia Corporation";
List the hardware model name and company name for all the phones that were launched in year 2002 or have RAM size greater than 32.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT T2.Hardware_Model_name , T2.Company_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T1.Launch_year = 2002 OR T1.RAM_MiB > 32;
Find all phones that have word 'Full' in their accreditation types. List the Hardware Model name and Company name.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT Hardware_Model_name , Company_name FROM phone WHERE Accreditation_type LIKE 'Full';
Find the Char cells, Pixels and Hardware colours for the screen of the phone whose hardware model name is "LG-P760".
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT T1.Char_cells , T1.Pixels , T1.Hardware_colours FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T2.Hardware_Model_name = "LG-P760";
List the hardware model name and company name for the phone whose screen mode type is "Graphics."
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT T2.Hardware_Model_name , T2.Company_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.Type = "Graphics";
Find the name of the company that has the least number of phone models. List the company name and the number of phone model produced by that company.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT Company_name , count(*) FROM phone GROUP BY Company_name ORDER BY count(*) ASC LIMIT 1;
List the name of the company that produced more than one phone model.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT Company_name FROM phone GROUP BY Company_name HAVING count(*) > 1;
List the maximum, minimum and average number of used kb in screen mode.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT max(used_kb) , min(used_kb) , avg(used_kb) FROM screen_mode;
List the name of the phone model launched in year 2002 and with the highest RAM size.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT T2.Hardware_Model_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model WHERE T1.Launch_year = 2002 ORDER BY T1.RAM_MiB DESC LIMIT 1;
What are the wifi and screen mode type of the hardware model named "LG-P760"?
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT T1.WiFi , T3.Type FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model JOIN screen_mode AS T3 ON T2.screen_mode = T3.Graphics_mode WHERE T2.Hardware_Model_name = "LG-P760";
List the hardware model name for the phones that have screen mode type "Text" or RAM size greater than 32.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT T2.Hardware_Model_name FROM chip_model AS T1 JOIN phone AS T2 ON T1.Model_name = T2.chip_model JOIN screen_mode AS T3 ON T2.screen_mode = T3.Graphics_mode WHERE T3.Type = "Text" OR T1.RAM_MiB > 32;
List the hardware model name for the phones that were produced by "Nokia Corporation" or whose screen mode type is "Graphics."
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT DISTINCT T2.Hardware_Model_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.Type = "Graphics" OR t2.Company_name = "Nokia Corporation"
List the hardware model name for the phons that were produced by "Nokia Corporation" but whose screen mode type is not Text.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT DISTINCT T2.Hardware_Model_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE t2.Company_name = "Nokia Corporation" AND T1.Type != "Text";
List the phone hardware model and company name for the phones whose screen usage in kb is between 10 and 15.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT DISTINCT T2.Hardware_Model_name , T2.Company_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE T1.used_kb BETWEEN 10 AND 15;
Find the number of phones for each accreditation type.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type
How many phones belongs to each accreditation type?
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type
Find the accreditation level that more than 3 phones use.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT Accreditation_level FROM phone GROUP BY Accreditation_level HAVING count(*) > 3
Find the details for all chip models.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT * FROM chip_model
How many models do not have the wifi function?
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT count(*) FROM chip_model WHERE wifi = 'No'
Count the number of chip model that do not have wifi.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT count(*) FROM chip_model WHERE wifi = 'No'
List all the model names sorted by their launch year.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT model_name FROM chip_model ORDER BY launch_year
Find the average ram mib size of the chip models that are never used by any phone.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT avg(RAM_MiB) FROM chip_model WHERE model_name NOT IN (SELECT chip_model FROM phone)
Find the names of the chip models that are not used by any phone with full accreditation type.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT model_name FROM chip_model EXCEPT SELECT chip_model FROM phone WHERE Accreditation_type = 'Full'
Find the pixels of the screen modes that are used by both phones with full accreditation types and phones with Provisional accreditation types.
chip_model: Model_name (TEXT), Launch_year (REAL), RAM_MiB (REAL), ROM_MiB (REAL), Slots (TEXT), WiFi (TEXT), Bluetooth (TEXT) screen_mode: Graphics_mode (REAL), Char_cells (TEXT), Pixels (TEXT), Hardware_colours (REAL), used_kb (REAL), map (TEXT), Type (TEXT) phone: Company_name (TEXT), Hardware_Model_name (TEXT), Accreditation_type (TEXT), Accreditation_level (TEXT), Date (TEXT), chip_model (TEXT), screen_mode (TEXT)
SELECT t1.pixels FROM screen_mode AS t1 JOIN phone AS t2 ON t1.Graphics_mode = t2.screen_mode WHERE t2.Accreditation_type = 'Provisional' INTERSECT SELECT t1.pixels FROM screen_mode AS t1 JOIN phone AS t2 ON t1.Graphics_mode = t2.screen_mode WHERE t2.Accreditation_type = 'Full'
How many countries are there in total?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT count(*) FROM country
Count the number of countries.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT count(*) FROM country
Show the country name and capital of all countries.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Country_name , Capital FROM country
What are the names and capitals of each country?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Country_name , Capital FROM country
Show all official native languages that contain the word "English".
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%"
What are the official native languages that contain the string "English".
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%"
Show all distinct positions of matches.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT DISTINCT POSITION FROM match_season
What are the different positions for match season?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT DISTINCT POSITION FROM match_season
Show the players from college UCLA.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Player FROM match_season WHERE College = "UCLA"
Who are the players from UCLA?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Player FROM match_season WHERE College = "UCLA"
Show the distinct position of players from college UCLA or Duke.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT DISTINCT POSITION FROM match_season WHERE College = "UCLA" OR College = "Duke"
What are the different positions of players from UCLA or Duke colleges?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT DISTINCT POSITION FROM match_season WHERE College = "UCLA" OR College = "Duke"
Show the draft pick numbers and draft classes of players whose positions are defenders.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Draft_Pick_Number , Draft_Class FROM match_season WHERE POSITION = "Defender"
What are the draft pick numbers and draft classes for players who play the Defender position?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Draft_Pick_Number , Draft_Class FROM match_season WHERE POSITION = "Defender"
How many distinct teams are involved in match seasons?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT count(DISTINCT Team) FROM match_season
Count the number of different teams involved in match season.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT count(DISTINCT Team) FROM match_season
Show the players and the years played.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Player , Years_Played FROM player
Who are the different players and how many years has each played?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Player , Years_Played FROM player
Show all team names.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Name FROM Team
What are the names of all teams?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Name FROM Team
Show the season, the player, and the name of the country that player belongs to.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T2.Season , T2.Player , T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country
For each player, what are their name, season, and country that they belong to?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T2.Season , T2.Player , T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country
Which players are from Indonesia?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T2.Player FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Country_name = "Indonesia"
Who are the players from Indonesia?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T2.Player FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Country_name = "Indonesia"
What are the distinct positions of the players from a country whose capital is Dublin?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin"
Give the different positions of players who play for the country with the capital Dublin.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT DISTINCT T2.Position FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T1.Capital = "Dublin"
What are the official languages of the countries of players from Maryland or Duke college?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.College = "Maryland" OR T2.College = "Duke"
Return the official native languages of countries who have players from Maryland or Duke colleges.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T1.Official_native_language FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.College = "Maryland" OR T2.College = "Duke"
How many distinct official languages are there among countries of players whose positions are defenders.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT count(DISTINCT T1.Official_native_language) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"
Count the number of different official languages corresponding to countries that players who play Defender are from.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT count(DISTINCT T1.Official_native_language) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"
Show the season, the player, and the name of the team that players belong to.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T1.Season , T1.Player , T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id
Who are the different players, what season do they play in, and what is the name of the team they are on?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T1.Season , T1.Player , T2.Name FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id
Show the positions of the players from the team with name "Ryley Goldner".
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner"
Return the positions of players on the team Ryley Goldner.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T1.Position FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Ryley Goldner"
How many distinct colleges are associated with players from the team with name "Columbus Crew".
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT count(DISTINCT T1.College) FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"
Count the number of different colleges that players who play for Columbus Crew are from.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT count(DISTINCT T1.College) FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"
Show the players and years played for players from team "Columbus Crew".
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T1.Player , T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"
What are the players who played for Columbus Crew, and how many years did each play for?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T1.Player , T1.Years_Played FROM player AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew"
Show the position of players and the corresponding number of players.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION
How many players played each position?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION
Show the country names and the corresponding number of players.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name
How many players are from each country?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name
Return all players sorted by college in ascending alphabetical order.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT player FROM match_season ORDER BY College ASC
What are all the players who played in match season, sorted by college in ascending alphabetical order?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT player FROM match_season ORDER BY College ASC
Show the most common position of players in match seasons.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT POSITION FROM match_season GROUP BY POSITION ORDER BY count(*) DESC LIMIT 1
What is the position that is most common among players in match seasons?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT POSITION FROM match_season GROUP BY POSITION ORDER BY count(*) DESC LIMIT 1
Show the top 3 most common colleges of players in match seasons.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT College FROM match_season GROUP BY College ORDER BY count(*) DESC LIMIT 3
What are the three colleges from which the most players are from?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT College FROM match_season GROUP BY College ORDER BY count(*) DESC LIMIT 3
Show the name of colleges that have at least two players.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2
What are the names of all colleges that have two or more players?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2
Show the name of colleges that have at least two players in descending alphabetical order.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2 ORDER BY College DESC
What are the names of colleges that have two or more players, listed in descending alphabetical order?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2 ORDER BY College DESC
What are the names of teams that do no have match season record?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Name FROM team WHERE Team_id NOT IN (SELECT Team FROM match_season)
Return the names of teams that have no match season record.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT Name FROM team WHERE Team_id NOT IN (SELECT Team FROM match_season)
What are the names of countries that have both players with position forward and players with position defender?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Forward" INTERSECT SELECT T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"
Return the names of countries that have players that play the Forward position, as well as players who play the Defender position.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Forward" INTERSECT SELECT T1.Country_name FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country WHERE T2.Position = "Defender"
Which college have both players with position midfielder and players with position defender?
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT College FROM match_season WHERE POSITION = "Midfielder" INTERSECT SELECT College FROM match_season WHERE POSITION = "Defender"
Return the colleges that have players who play the Midfielder position, as well as players who play the Defender position.
country: Country_id (INT), Country_name (TEXT), Capital (TEXT), Official_native_language (TEXT) team: Team_id (INT), Name (TEXT) match_season: Season (REAL), Player (TEXT), Position (TEXT), Country (INT), Team (INT), Draft_Pick_Number (INT), Draft_Class (TEXT), College (TEXT) player: Player_ID (INT), Player (TEXT), Years_Played (TEXT), Total_WL (TEXT), Singles_WL (TEXT), Doubles_WL (TEXT), Team (INT)
SELECT College FROM match_season WHERE POSITION = "Midfielder" INTERSECT SELECT College FROM match_season WHERE POSITION = "Defender"
How many climbers are there?
mountain: Mountain_ID (INT), Name (TEXT), Height (REAL), Prominence (REAL), Range (TEXT), Country (TEXT) climber: Climber_ID (INT), Name (TEXT), Country (TEXT), Time (TEXT), Points (REAL), Mountain_ID (INT)
SELECT count(*) FROM climber