Datasets:

richardr1126

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course_teach

What is the name of each teacher and what course they teach?

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select teacher.name , course.course from course_arrange join course on course_arrange.course_id = course.course_id join teacher on course_arrange.teacher_id = teacher.teacher_id

course_teach

Show names of teachers and the courses they are arranged to teach in ascending alphabetical order of the teacher's name.

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select teacher.name , course.course from course_arrange join course on course_arrange.course_id = course.course_id join teacher on course_arrange.teacher_id = teacher.teacher_id order by teacher.name asc

course_teach

What are the names of the teachers and the courses they teach in ascending alphabetical order by the name of the teacher?

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select teacher.name , course.course from course_arrange join course on course_arrange.course_id = course.course_id join teacher on course_arrange.teacher_id = teacher.teacher_id order by teacher.name asc

course_teach

Show the name of the teacher for the math course.

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select teacher.name from course_arrange join course on course_arrange.course_id = course.course_id join teacher on course_arrange.teacher_id = teacher.teacher_id where course.course = 'Math'

course_teach

What are the names of the people who teach math courses?

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select teacher.name from course_arrange join course on course_arrange.course_id = course.course_id join teacher on course_arrange.teacher_id = teacher.teacher_id where course.course = 'Math'

course_teach

Show names of teachers and the number of courses they teach.

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select teacher.name , count ( * ) from course_arrange join teacher on course_arrange.teacher_id = teacher.teacher_id group by teacher.name

course_teach

What are the names of the teachers and how many courses do they teach?

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select teacher.name , count ( * ) from course_arrange join teacher on course_arrange.teacher_id = teacher.teacher_id group by teacher.name

course_teach

Show names of teachers that teach at least two courses.

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select teacher.name from course_arrange join teacher on course_arrange.teacher_id = teacher.teacher_id group by teacher.name having count ( * ) >= 2

course_teach

What are the names of the teachers who teach at least two courses?

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select teacher.name from course_arrange join teacher on course_arrange.teacher_id = teacher.teacher_id group by teacher.name having count ( * ) >= 2

course_teach

List the names of teachers who have not been arranged to teach courses.

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select name from teacher where teacher_id not in ( select teacher_id from course_arrange )

course_teach

What are the names of the teachers whose courses have not been arranged?

# course ( course_id , staring_date , course ) # teacher ( teacher_id , name , age , hometown ) # course_arrange ( course_id , teacher_id , grade ) # course_arrange.teacher_id = teacher.teacher_id # course_arrange.course_id = course.course_id

select name from teacher where teacher_id not in ( select teacher_id from course_arrange )

museum_visit

How many visitors below age 30 are there?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select count ( * ) from visitor where age < 30

museum_visit

Find the names of the visitors whose membership level is higher than 4, and order the results by the level from high to low.

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select name from visitor where level_of_membership > 4 order by level_of_membership desc

museum_visit

What is the average age of the visitors whose membership level is not higher than 4?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select avg ( age ) from visitor where level_of_membership <= 4

museum_visit

Find the name and membership level of the visitors whose membership level is higher than 4, and sort by their age from old to young.

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select name , level_of_membership from visitor where level_of_membership > 4 order by age desc

museum_visit

Find the id and name of the museum that has the most staff members?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select museum_id , name from museum order by num_of_staff desc limit 1

museum_visit

Find the average number of staff working for the museums that were open before 2009.

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select avg ( num_of_staff ) from museum where open_year < 2009

museum_visit

What are the opening year and staff number of the museum named Plaza Museum?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select num_of_staff , open_year from museum where name = 'Plaza Museum'

museum_visit

find the names of museums which have more staff than the minimum staff number of all museums opened after 2010.

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select name from museum where num_of_staff > ( select min ( num_of_staff ) from museum where open_year > 2010 )

museum_visit

find the id, name and age for visitors who visited some museums more than once.

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select visitor.id , visitor.name , visitor.age from visitor join visit on visitor.id = visit.visitor_id group by visitor.id having count ( * ) > 1

museum_visit

What are the id, name and membership level of visitors who have spent the largest amount of money in total in all museum tickets?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select visit.visitor_id , visitor.name , visitor.level_of_membership from visitor join visit on visitor.id = visit.visitor_id group by visit.visitor_id order by sum ( visit.total_spent ) desc limit 1

museum_visit

What are the id and name of the museum visited most times?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select visit.museum_id , museum.name from museum join visit on museum.museum_id = visit.museum_id group by visit.museum_id order by count ( * ) desc limit 1

museum_visit

What is the name of the museum that had no visitor yet?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select name from museum where museum_id not in ( select museum_id from visit )

museum_visit

Find the name and age of the visitor who bought the most tickets at once.

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select visitor.name , visitor.age from visitor join visit on visitor.id = visit.visitor_id order by visit.num_of_ticket desc limit 1

museum_visit

What are the average and maximum number of tickets bought in all visits?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select avg ( num_of_ticket ) , max ( num_of_ticket ) from visit

museum_visit

What is the total ticket expense of the visitors whose membership level is 1?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select sum ( visit.total_spent ) from visitor join visit on visitor.id = visit.visitor_id where visitor.level_of_membership = 1

museum_visit

What is the name of the visitor who visited both a museum opened before 2009 and a museum opened after 2011?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select visitor.name from visitor join visit on visitor.id = visit.visitor_id join museum on museum.museum_id = visit.museum_id where museum.open_year < 2009 intersect select visitor.name from visitor join visit on visitor.id = visit.visitor_id join museum on museum.museum_id = visit.museum_id where museum.open_year > 2011

museum_visit

Find the number of visitors who did not visit any museum opened after 2010.

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select count ( * ) from visitor where id not in ( select visit.visitor_id from museum join visit on museum.museum_id = visit.museum_id where museum.open_year > 2010 )

museum_visit

How many museums were opened after 2013 or before 2008?

# museum ( museum_id , name , num_of_staff , open_year ) # visitor ( id , name , level_of_membership , age ) # visit ( museum_id , visitor_id , num_of_ticket , total_spent ) # visit.visitor_id = visitor.id # visit.museum_id = museum.museum_id

select count ( * ) from museum where open_year > 2013 or open_year < 2008

wta_1

Find the total number of players.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) from players

wta_1

How many players are there?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) from players

wta_1

Find the total number of matches.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) from matches

wta_1

Count the number of matches.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) from matches

wta_1

List the first name and birth date of all players from the country with code USA.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select first_name , birth_date from players where country_code = 'USA'

wta_1

What are the first names and birth dates of players from the USA?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select first_name , birth_date from players where country_code = 'USA'

wta_1

Find the average age of losers and winners of all matches.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select avg ( loser_age ) , avg ( winner_age ) from matches

wta_1

What are the average ages of losers and winners across matches?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select avg ( loser_age ) , avg ( winner_age ) from matches

wta_1

Find the average rank of winners in all matches.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select avg ( winner_rank ) from matches

wta_1

What is the average rank for winners in all matches?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select avg ( winner_rank ) from matches

wta_1

Find the highest rank of losers in all matches.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select min ( loser_rank ) from matches

wta_1

What is the best rank of losers across all matches?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select min ( loser_rank ) from matches

wta_1

find the number of distinct country codes of all players.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( distinct country_code ) from players

wta_1

How many distinct countries do players come from?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( distinct country_code ) from players

wta_1

Find the number of distinct name of losers.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( distinct loser_name ) from matches

wta_1

How many different loser names are there?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( distinct loser_name ) from matches

wta_1

Find the name of tourney that has more than 10 matches.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select tourney_name from matches group by tourney_name having count ( * ) > 10

wta_1

What are the names of tournaments that have more than 10 matches?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select tourney_name from matches group by tourney_name having count ( * ) > 10

wta_1

List the names of all winners who played in both 2013 and 2016.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select winner_name from matches where year = 2013 intersect select winner_name from matches where year = 2016

wta_1

What are the names of players who won in both 2013 and 2016?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select winner_name from matches where year = 2013 intersect select winner_name from matches where year = 2016

wta_1

List the number of all matches who played in years of 2013 or 2016.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) from matches where year = 2013 or year = 2016

wta_1

How many matches were played in 2013 or 2016?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) from matches where year = 2013 or year = 2016

wta_1

What are the country code and first name of the players who won in both tourney WTA Championships and Australian Open?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select players.country_code , players.first_name from players join matches on players.player_id = matches.winner_id where matches.tourney_name = 'WTA Championships' intersect select players.country_code , players.first_name from players join matches on players.player_id = matches.winner_id where matches.tourney_name = 'Australian Open'

wta_1

What are the first names and country codes for players who won both the WTA Championships and the Australian Open?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select players.country_code , players.first_name from players join matches on players.player_id = matches.winner_id where matches.tourney_name = 'WTA Championships' intersect select players.country_code , players.first_name from players join matches on players.player_id = matches.winner_id where matches.tourney_name = 'Australian Open'

wta_1

Find the first name and country code of the oldest player.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select first_name , country_code from players order by birth_date asc limit 1

wta_1

What is the first name and country code of the oldest player?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select first_name , country_code from players order by birth_date asc limit 1

wta_1

List the first and last name of all players in the order of birth date.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select first_name , last_name from players order by birth_date asc

wta_1

What are the full names of all players, sorted by birth date?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select first_name , last_name from players order by birth_date asc

wta_1

List the first and last name of all players who are left / L hand in the order of birth date.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select first_name , last_name from players where hand = 'L' order by birth_date asc

wta_1

What are the full names of all left handed players, in order of birth date?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select first_name , last_name from players where hand = 'L' order by birth_date asc

wta_1

Find the first name and country code of the player who did the most number of tours.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select players.country_code , players.first_name from players join rankings on players.player_id = rankings.player_id order by rankings.tours desc limit 1

wta_1

What is the first name and country code of the player with the most tours?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select players.country_code , players.first_name from players join rankings on players.player_id = rankings.player_id order by rankings.tours desc limit 1

wta_1

Find the year that has the most number of matches.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select year from matches group by year order by count ( * ) desc limit 1

wta_1

Which year had the most matches?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select year from matches group by year order by count ( * ) desc limit 1

wta_1

Find the name and rank points of the winner who won the most times.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select winner_name , winner_rank_points from matches group by winner_name order by count ( * ) desc limit 1

wta_1

What is the name of the winner who has won the most matches, and how many rank points does this player have?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select winner_name , winner_rank_points from matches group by winner_name order by count ( * ) desc limit 1

wta_1

Find the name of the winner who has the highest rank points and participated in the Australian Open tourney.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select winner_name from matches where tourney_name = 'Australian Open' order by winner_rank_points desc limit 1

wta_1

What is the name of the winner with the most rank points who participated in the Australian Open tournament?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select winner_name from matches where tourney_name = 'Australian Open' order by winner_rank_points desc limit 1

wta_1

find the names of loser and winner who played in the match with greatest number of minutes.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select winner_name , loser_name from matches order by minutes desc limit 1

wta_1

What are the names of the winner and loser who played in the longest match?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select winner_name , loser_name from matches order by minutes desc limit 1

wta_1

Find the average ranking for each player and their first name.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select avg ( ranking ) , players.first_name from players join rankings on players.player_id = rankings.player_id group by players.first_name

wta_1

What are the first names of all players, and their average rankings?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select avg ( ranking ) , players.first_name from players join rankings on players.player_id = rankings.player_id group by players.first_name

wta_1

Find the total ranking points for each player and their first name.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select sum ( ranking_points ) , players.first_name from players join rankings on players.player_id = rankings.player_id group by players.first_name

wta_1

What are the first names of all players, and their total ranking points?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select sum ( ranking_points ) , players.first_name from players join rankings on players.player_id = rankings.player_id group by players.first_name

wta_1

find the number of players for each country.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) , country_code from players group by country_code

wta_1

How many players are from each country?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) , country_code from players group by country_code

wta_1

find the code of the country where has the greatest number of players.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select country_code from players group by country_code order by count ( * ) desc limit 1

wta_1

What is the code of the country with the most players?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select country_code from players group by country_code order by count ( * ) desc limit 1

wta_1

Find the codes of countries that have more than 50 players.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select country_code from players group by country_code having count ( * ) > 50

wta_1

What are the codes of countries with more than 50 players?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select country_code from players group by country_code having count ( * ) > 50

wta_1

Find the total number of tours for each ranking date.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select sum ( tours ) , ranking_date from rankings group by ranking_date

wta_1

How many total tours were there for each ranking date?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select sum ( tours ) , ranking_date from rankings group by ranking_date

wta_1

Find the number of matches happened in each year.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) , year from matches group by year

wta_1

How many matches were played in each year?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) , year from matches group by year

wta_1

Find the name and rank of the 3 youngest winners across all matches.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select distinct winner_name , winner_rank from matches order by winner_age asc limit 3

wta_1

What are the names and ranks of the three youngest winners across all matches?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select distinct winner_name , winner_rank from matches order by winner_age asc limit 3

wta_1

How many different winners both participated in the WTA Championships and were left handed?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( distinct winner_name ) from matches where tourney_name = 'WTA Championships' and winner_hand = 'L'

wta_1

Find the number of left handed winners who participated in the WTA Championships.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( distinct winner_name ) from matches where tourney_name = 'WTA Championships' and winner_hand = 'L'

wta_1

Find the first name, country code and birth date of the winner who has the highest rank points in all matches.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select players.first_name , players.country_code , players.birth_date from players join matches on players.player_id = matches.winner_id order by matches.winner_rank_points desc limit 1

wta_1

What is the first name, country code, and birth date of the player with the most winner rank points across all matches?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select players.first_name , players.country_code , players.birth_date from players join matches on players.player_id = matches.winner_id order by matches.winner_rank_points desc limit 1

wta_1

Find the number of players for each hand type.

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) , hand from players group by hand

wta_1

How many players are there for each hand type?

# players ( player_id , first_name , last_name , hand , birth_date , country_code ) # matches ( best_of , draw_size , loser_age , loser_entry , loser_hand , loser_ht , loser_id , loser_ioc , loser_name , loser_rank , loser_rank_points , loser_seed , match_num , minutes , round , score , surface , tourney_date , tourney_id , tourney_level , tourney_name , winner_age , winner_entry , winner_hand , winner_ht , winner_id , winner_ioc , winner_name , winner_rank , winner_rank_points , winner_seed , year ) # rankings ( ranking_date , ranking , player_id , ranking_points , tours ) # matches.winner_id = players.player_id # matches.loser_id = players.player_id # rankings.player_id = players.player_id

select count ( * ) , hand from players group by hand

battle_death

How many ships ended up being 'Captured'?

# battle ( id , name , date , bulgarian_commander , latin_commander , result ) # ship ( lost_in_battle , id , name , tonnage , ship_type , location , disposition_of_ship ) # death ( caused_by_ship_id , id , note , killed , injured ) # ship.lost_in_battle = battle.id # death.caused_by_ship_id = ship.id

select count ( * ) from ship where disposition_of_ship = 'Captured'

battle_death

List the name and tonnage ordered by in descending alphaetical order for the names.

# battle ( id , name , date , bulgarian_commander , latin_commander , result ) # ship ( lost_in_battle , id , name , tonnage , ship_type , location , disposition_of_ship ) # death ( caused_by_ship_id , id , note , killed , injured ) # ship.lost_in_battle = battle.id # death.caused_by_ship_id = ship.id

select name , tonnage from ship order by name desc

battle_death

List the name, date and result of each battle.

# battle ( id , name , date , bulgarian_commander , latin_commander , result ) # ship ( lost_in_battle , id , name , tonnage , ship_type , location , disposition_of_ship ) # death ( caused_by_ship_id , id , note , killed , injured ) # ship.lost_in_battle = battle.id # death.caused_by_ship_id = ship.id

select name , date from battle

battle_death

What is maximum and minimum death toll caused each time?

# battle ( id , name , date , bulgarian_commander , latin_commander , result ) # ship ( lost_in_battle , id , name , tonnage , ship_type , location , disposition_of_ship ) # death ( caused_by_ship_id , id , note , killed , injured ) # ship.lost_in_battle = battle.id # death.caused_by_ship_id = ship.id

select max ( killed ) , min ( killed ) from death

battle_death

What is the average number of injuries caused each time?

# battle ( id , name , date , bulgarian_commander , latin_commander , result ) # ship ( lost_in_battle , id , name , tonnage , ship_type , location , disposition_of_ship ) # death ( caused_by_ship_id , id , note , killed , injured ) # ship.lost_in_battle = battle.id # death.caused_by_ship_id = ship.id

select avg ( injured ) from death

battle_death

What are the death and injury situations caused by the ship with tonnage 't'?

# battle ( id , name , date , bulgarian_commander , latin_commander , result ) # ship ( lost_in_battle , id , name , tonnage , ship_type , location , disposition_of_ship ) # death ( caused_by_ship_id , id , note , killed , injured ) # ship.lost_in_battle = battle.id # death.caused_by_ship_id = ship.id

select death.killed , death.injured from death join ship on death.caused_by_ship_id = ship.id where ship.tonnage = 't'

battle_death

What are the name and results of the battles when the bulgarian commander is not 'Boril'

# battle ( id , name , date , bulgarian_commander , latin_commander , result ) # ship ( lost_in_battle , id , name , tonnage , ship_type , location , disposition_of_ship ) # death ( caused_by_ship_id , id , note , killed , injured ) # ship.lost_in_battle = battle.id # death.caused_by_ship_id = ship.id

select name , result from battle where bulgarian_commander != 'Boril'

battle_death

What are the different ids and names of the battles that lost any 'Brig' type shipes?

# battle ( id , name , date , bulgarian_commander , latin_commander , result ) # ship ( lost_in_battle , id , name , tonnage , ship_type , location , disposition_of_ship ) # death ( caused_by_ship_id , id , note , killed , injured ) # ship.lost_in_battle = battle.id # death.caused_by_ship_id = ship.id

select distinct battle.id , battle.name from battle join ship on battle.id = ship.lost_in_battle where ship.ship_type = 'Brig'

battle_death

What are the ids and names of the battles that led to more than 10 people killed in total.

# battle ( id , name , date , bulgarian_commander , latin_commander , result ) # ship ( lost_in_battle , id , name , tonnage , ship_type , location , disposition_of_ship ) # death ( caused_by_ship_id , id , note , killed , injured ) # ship.lost_in_battle = battle.id # death.caused_by_ship_id = ship.id

select battle.id , battle.name from battle join ship on battle.id = ship.lost_in_battle join death on ship.id = death.caused_by_ship_id group by battle.id having sum ( death.killed ) > 10