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When and for what role did the youngest player appear in his first match?
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When refers to Match_Date; youngest player refers to max(DOB); first match refers to min(Match_Date)
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date of the match refers to Match_Date; highest wager refers to max(Win_Margin)
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name of the player refers to Player_Name; the first ever refers to min(match_date); "man of the match" award refers to Player_Id in 'Man_of_the_Match'
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held in St. George's Park refers to Venue_Name = 'St George''s Park'; highest winning margin points refers to MAX(Win_Margin)
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Dr DY Patil Sports Academy venue refers to Venue_Name = 'Dr DY Patil Sports Academy'; win by a margin of less than 10 refers to Win_Margin < 10; percentage = divide(count(Venue_Id) when Win_Margin < 10, sum(Venue_Id)) as percentage
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Sunrisers Hyderabad refers to Team_Name = 'Sunrisers Hyderabad'; time of toss winner refers to count(Toss_Winner)
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Sunrisers Hyderabad team refers to Team_Name = 'Sunrisers Hyderabad'; in 2013 refers to Match_Date like '2013%';
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Sunrisers Hyderabad refers to Team_Name = 'Sunrisers Hyderabad'; win their first match refers to Match_Winner and min(Match_Date)
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city named "Rajkot" refers to city_name = 'Rajkot';
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name of the player refers to Player_Name; the highest number of outstanding player awards refers to max(count(Man_of_the_Match))
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country refers to Country_Name; the oldest refers to min(DOB)
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What are the names of players who participated in season year 2008?
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season year 2008 refers to Season_Year = 2008
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date of the match refers to Match_Date; highest wager refers to max(Win_Margin)
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Australia refers to Country_Name = 'Australia'
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Team 10 refers to Team_1 = 10 OR Team_2 = 10; in 2012 refers to SUBSTR(Match_Date, 1, 4) = '2012'
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resulted in a tie refers to Win_Type = 'Tie'; in 2015 refers to SUBSTR(Match_Date, 1, 4) = 2015
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played in 2009 Match_Date like '2009%'; Mumbai Indians" team refers to Team_Name = 'Mumbai Indians'; percent of the matches did they win refers to DIVIDE(COUNT(Match_Winner = Team_Id), COUNT(Match_Id))
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held in June 2014 refers to SUBSTR(Match_Date, 7, 1) = 6 and SUBSTR(Match_Date, 1, 4) = 2014
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R Dravid refers to Player_Name = 'R Dravid'; year born refers to DOB; role refers to Role_Desc
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name of the striker refers to Player_Name; match no. 419169 refers to Match_Id = 419169; over no.3 refers to Over_Id = 3; ball no.2 refers to Ball_Id = 2; inning no.2 refers to Innings_No = 2
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names of teams refers to Team_Name; second team refers to Team_2; Pune Warriors refers to Team_Name = 'Pune Warriors'
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right hand as batting hand refers to Batting_Hand = 'Right-hand bat'; born after 1985 refers to SUBSTR(DOB, 1, 4) > 1985
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How many matches did the Sunrisers Hyderabad team win in 2013?
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Sunrisers Hyderabad team refers to Team_Name = 'Sunrisers Hyderabad'; in 2013 refers to Match_Date like '2013%';
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held in St. George's Park refers to Venue_Name = 'St George''s Park'; highest winning margin points refers to MAX(Win_Margin)
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name of players refers to Player_Name
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Delhi Daredevils refers to team_name = 'Delhi Daredevils'; in 2009 refers to Match_Date = '2009%'; won by wickets refers to Win_Type = 'wickets'; percentage refers to DIVIDE(COUNT(Win_Type = 'wickets'), COUNT(Win_Type))
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season refers to Season_Id; the highest number of matches refers to max(count(Season_Id)); M Chinnaswamy Stadium refers to Venue_Name = 'M Chinnaswamy Stadium'
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lowest winning margin refers to MIN(win_margin); team name refers to team_name; second team refers to team_2
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city refers to City_Name; M Chinnaswamy Stadium refers to Venue_Name = 'M Chinnaswamy Stadium'
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country refers to Country_Name; the majority of the players refers to max(count(Country_Name))
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name refers to Player_Name; youngest player refers to max(DOB)
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in team 1 refers to Team_Id = 1; name of player refers to Player_Name;
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Sunrisers Hyderabad refers to Team_Name = 'Sunrisers Hyderabad'; win their first match refers to Match_Winner and min(Match_Date)
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List down the name of teams that won the toss of the coin from matches with ID from 336010 to 336020.
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name of teams refers to Team_Name; won the toss refers to Toss_Winner; matches with ID from 336010 to 336020 refers to Match_Id BETWEEN 336010 AND 336020
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wins the toss refers to Toss_Winner; whether they decided to bat or field refers to Toss_Name
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out by lbw refers to Out_Id = 4; runout refers to Out_Id = 3; average out by lbw refers to avg(Player_Out when Out_Id = 4); average out by runout refers to avg(Player_Out when Out_Id = 3)
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are Indians refers to Country_Name = 'India'
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Mohammad Hafeez refers to Player_Name = 'Mohammad Hafeez';
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names of teams refers to Team_Name; second team refers to Team_2; Pune Warriors refers to Team_Name = 'Pune Warriors'
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born in the 80s refers to DOB like '198%'; have bowling skill of 2 refers to Bowling_skill = 2;
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eldest player refers to MIN(DOB); where he/she come from refers to Country_Name
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type of match won refers to Win_Type
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Team 10 refers to Team_1 = 10 OR Team_2 = 10; in 2012 refers to SUBSTR(Match_Date, 1, 4) = '2012'
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name of the venue refers to Venue_Name; most number of matches refers to max(count(Venue_Id))
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Give the player id of the player who was at the non-striker end for the most number of balls in the match 501219.
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most number of balls refers to max(Ball_Id); match 501219 refers to Match_Id = 501219;
player id also refers to non_striker or ball_id
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got out refers to Player_Out; the first inning refers to Innings_No = 1; match ID "548335" refers to Match_Id = 548335
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born in the 90s refers to DOB > = '1990-01-01' AND DOB < = '1999-12-31'
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born before 10/16/1975 refers to DOB < 1975-10-16; bowling skill of less than 3 refers to Bowling_skill < 3
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wins the toss refers to Toss_Winner; whether they decided to bat or field refers to Toss_Name
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year 2012 refers to Season_Year = 2012; name of player refers to Player_Name.; country of this player refers to Country_Name
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old refers to SUBTRACT(2022, SUBSTR(DOB, 1, 4)); Ishan Kishan refers to Player_Name = 'Ishan Kishan';
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seasons from 2011 to 2015 refers to 2011 < Season_Year < 2015
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players' name refers to Player_name; born in 1971 refers to DOB LIKE '1971%'
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won by runs refers to Win_Type = 'runs'; won the toss and decided to field refers to Toss_Winner and Toss_Name = 'field'; percentage = divide(count(Team_1) when Match_Winner = Team_1 and Toss_Winner = Team_1, count(Team_1)) as percentage
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When refers to Match_Date; youngest player refers to max(DOB); first match refers to min(Match_Date)
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Name the player who is born on July 7, 1981.
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name of the player refers to Player_Name; born on July 7 1981 refers to DOB = '1981-07-07'
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bowling skill used by most players refers to max(count(Bowling_Skill))
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SB Joshi refers to Player_Name = 'SB Joshi'; where the player come from refers to Country_Name
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Dr DY Patil Sports Academy venue refers to Venue_Name = 'Dr DY Patil Sports Academy'; win by a margin of less than 10 refers to Win_Margin < 10; percentage = divide(count(Venue_Id) when Win_Margin < 10, sum(Venue_Id)) as percentage
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Yuvraj Singh refers to Player_Name = 'Yuvraj Singh'; receive the Man of the Match award refers to Player_Id = Man_of_the_Match
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bowling skill greater than 2 refers to Bowling_skill > 2
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played as a keeper refers to Role_Desc = 'Keeper'; name of player refers to Player_Name;
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won by runs refers to win_type = 1; percentage refers to DIVIDE(COUNT(win_type = 1), COUNT(Win_Type)) * 100
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losing team's name refers to Team_Id NOT in "match_winner" column
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Between match no. 335989 and 337000 refers to 335989 < Match_Id < 337000; batsman score more than 3 runs during over no. 1, ball no. 1, and inning no. 1 of the matches refers to Runs_Scored > 3 and Over_Id = 1 and Ball_Id = 1 and Innings_No = 1
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are Superover refers to win_type = 'wickets';
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Write down the name of players whose bowling skill is Legbreak.
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name of players refers to Player_Name
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point of winning margin of 38 refers to win_margin = 38; on April 30, 2009 refers to match_date = '2009-04-30'; team refers to Team_Name;
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Indian refers to Country_Name = 'India'
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played as a keeper refers to Role_Desc = 'Keeper'; name of player refers to Player_Name;
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name of the team refers to Team_Name; won the first ever match refers to Match_Winner where max(Match_Date)
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had players out by hit wickets refers to Out_Name = 'hit wicket'
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in 2009 refers to Match_Date like '2009%'; win margins of less than 10 refers to Win_Margin < 10;
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Sunrisers Hyderabad refers to Team_Name = 'Sunrisers Hyderabad'; time of toss winner refers to count(Toss_Winner)
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Dr DY Patil Sports Academy venue refers to Venue_Name = 'Dr DY Patil Sports Academy'; win by a margin of less than 10 refers to Win_Margin < 10; percentage = divide(count(Venue_Id) when Win_Margin < 10, sum(Venue_Id)) as percentage
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are Superover refers to win_type = 'wickets';
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role refers to Role_Desc; K Goel refers to Player_Name = 'K Goel'; match ID 335992 refers to Match_Id = 335992
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Give me the match ID and date of the matches that were held in Kingsmead for three consecutive days.
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date of the matches refers to Match_Date; held in Kingsmead refers to Venue_Name = 'Kingsmead'
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name of teams refers to Team_Name; won the toss refers to Toss_Winner; matches with ID from 336010 to 336020 refers to Match_Id BETWEEN 336010 AND 336020
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born in 1977 refers to DOB LIKE '1977%'; name refers to Player_Name; birthdate refers to DOB; England refers to Country_Name = 'England'
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were played in March 2010 refers to Match_Date = '2010-03%'
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won by runs refers to win_type = 1; percentage refers to DIVIDE(COUNT(win_type = 1), COUNT(Win_Type)) * 100
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noballs refers to Extra_Name = 'noballs' ; average number = divide(sum(Extra_Runs), count(Extra_Runs))
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4/18/2008 refers to Match_Date = 4/18/2008; end of 17 overs refers to count(Toss_Name = 'field' ) = 17; run rate = divide(sum(Runs_Scored) when Toss_Name = 'bat', sum(Over_Id) when Toss_Name = 'field')
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SC Ganguly refers to Player_Name = 'SC Ganguly'; role refers to Role_Desc
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name of the team refers to Team_Name; the highest number of losses refers to max(add(count(Team_1 where Team_Id = Team_1 and Team_1 <> Match_Winner), count(Team_2 where Team_Id = Team_2 and Team_2 <> Match_Winner)))
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name of the team refers to Team_Name; won the first ever match refers to Match_Winner where max(Match_Date)
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if a player has multiple roles in a match, it means this player is versatile; name refers to Player_Name; most versatile player refers to MAX(COUNT(Role_id)); Delhi Daredevils refers to Team_Name = 'Delhi Daredevils'
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List all Zimbabwean players.
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Zimbabwean refers to Country_Name = 'Zimbabwea'; players refers to Player_Name
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the venue named "Newlands" refers to Venue_Name = 'Newlands'
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end of 16 overs refers to count(Toss_Name = 'field' ) = 16; run rate = divide(count(Runs_Scored) when Toss_Name = 'bat', sum(Over_Id)when Toss_Name = 'field'); name refers to Player_Name
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got out refers to Player_Out; the first inning refers to Innings_No = 1; match ID "548335" refers to Match_Id = 548335
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role refers to Role_Desc; K Goel refers to Player_Name = 'K Goel'; match ID 335992 refers to Match_Id = 335992
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right-handed batting refers to Batting_hand = 'Right-hand bat'; percentage = divide(count(Player_Id where Batting_hand = 'Right-hand bat'), count(Player_Id)) * 100%
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Pune Warriors refers to Team_Name = 'Pune Warriors'
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lowest winning margin refers to MIN(win_margin); team name refers to team_name; second team refers to team_2
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country refers to Country_Name; the majority of the players refers to max(count(Country_Name))
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players' name refers to Player_name; born in 1971 refers to DOB LIKE '1971%'
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losing team's name refers to Team_Id NOT in "match_winner" column
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Give the name of the youngest player.
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name of player refers to Player_Name; the youngest refers to max(DOB)
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held in St. George's Park refers to Venue_Name = 'St George''s Park'; highest winning margin points refers to MAX(Win_Margin)
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Pune Warriors refers to Team_Name = 'Pune Warriors'
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are Indians refers to Country_Name = 'India'
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date of the matches refers to Match_Date; held in Kingsmead refers to Venue_Name = 'Kingsmead'
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name of the team refers to Team_Name; the highest number of losses refers to max(add(count(Team_1 where Team_Id = Team_1 and Team_1 <> Match_Winner), count(Team_2 where Team_Id = Team_2 and Team_2 <> Match_Winner)))
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year refers to DOB; majority of the players refers to max(count(Player_Id))
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id of the player who won the Orange Cap refers to Orange_Cap; for 2 consecutive seasons refers to count(Season_Year) > 1
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name of the player refers to Player_Name; man of the series more than one time refers to count(Man_of_the_Series) > 1
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city named "Rajkot" refers to city_name = 'Rajkot';
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player no.41 won the "man of the match" refers to Man_of_the_Match = 41
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From which country does the most umpires are from? How many of them are from the mentioned country?
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which country refers to Country_Id; most umpires refers to max(count(Umpire_Id))
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country refers to Country_Name; the majority of the players refers to max(count(Country_Name))
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SuperSport Park refers to Venue_Name = 'SuperSport Park'; Centurion refers to City_Name = 'Centurion'
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resulted in a tie refers to Win_Type = 'Tie'; in 2015 refers to SUBSTR(Match_Date, 1, 4) = 2015
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CH Gayle refers to Player_Name = 'CH Gayle'
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player no.41 won the "man of the match" refers to Man_of_the_Match = 41
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the venue named "Newlands" refers to Venue_Name = 'Newlands'
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born before 10/16/1975 refers to DOB < 1975-10-16; bowling skill of less than 3 refers to Bowling_skill < 3
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bowling skill greater than 2 refers to Bowling_skill > 2
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bowling skill used by most players refers to max(count(Bowling_Skill))
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name of venues refers to Venue_Name; season 2 refers to Season_Id = 2
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Among the matches of Delhi Daredevils in 2009, what is the percentage of their matches won by wickets?
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Delhi Daredevils refers to team_name = 'Delhi Daredevils'; in 2009 refers to Match_Date = '2009%'; won by wickets refers to Win_Type = 'wickets'; percentage refers to DIVIDE(COUNT(Win_Type = 'wickets'), COUNT(Win_Type))
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date of birth refers to DOB; 2014 refers to Season_Year = 2014; Orange Cap winner refers to Orange_Cap IS NOT NULL
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which country refers to Country_Id; most umpires refers to max(count(Umpire_Id))
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wins the toss refers to Toss_Winner; whether they decided to bat or field refers to Toss_Name
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city refers to City_Name; no-result matches refers to Win_type = 'NoResult'; least number refers to min(count(Win_type = 'NoResult'))
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name of the team refers to Team_Name; the highest number of losses refers to max(add(count(Team_1 where Team_Id = Team_1 and Team_1 <> Match_Winner), count(Team_2 where Team_Id = Team_2 and Team_2 <> Match_Winner)))
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born before 10/16/1975 refers to DOB < 1975-10-16; bowling skill of less than 3 refers to Bowling_skill < 3
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seasons from 2011 to 2015 refers to 2011 < Season_Year < 2015
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4/18/2008 refers to Match_Date = 4/18/2008; end of 17 overs refers to count(Toss_Name = 'field' ) = 17; run rate = divide(sum(Runs_Scored) when Toss_Name = 'bat', sum(Over_Id) when Toss_Name = 'field')
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'slow left-arm chinaman' bowling style refers to Bowling_skill = 'Slow left-arm chinaman'; most players refers to max(count(Country_Id))
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English umpires refers to Country_Name = 'England'
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List the cities located in U.A.E.
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city refers to City_Name; U.A.E refers to Country_Name = 'U.A.E'
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seasons from 2011 to 2015 refers to 2011 < Season_Year < 2015
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4/18/2008 refers to Match_Date = 4/18/2008; end of 17 overs refers to count(Toss_Name = 'field' ) = 17; run rate = divide(sum(Runs_Scored) when Toss_Name = 'bat', sum(Over_Id) when Toss_Name = 'field')
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won by wickets refers to Win_type = 'wickets';
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role refers to Role_Desc; K Goel refers to Player_Name = 'K Goel'; match ID 335992 refers to Match_Id = 335992
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from South Africa refers to Country_Name = 'South Africa'; born in 1984 refers to DOB like '1984%';
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the team named "Pune Warriors" refers to Team_Name = 'Pune Warriors'; the total number of won matches = count(Team_Name where Team_Id = Match_Winner)
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name of the team refers to Team_Name; won the first ever match refers to Match_Winner where max(Match_Date)
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which country refers to Country_Id; most umpires refers to max(count(Umpire_Id))
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Between match no. 335989 and 337000 refers to 335989 < Match_Id < 337000; batsman score more than 3 runs during over no. 1, ball no. 1, and inning no. 1 of the matches refers to Runs_Scored > 3 and Over_Id = 1 and Ball_Id = 1 and Innings_No = 1
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eldest player refers to MIN(DOB); where he/she come from refers to Country_Name
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Compute the run rate at the end of 16 overs of the match ID 335999. Please include the name of the "Man of_the Match".
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end of 16 overs refers to count(Toss_Name = 'field' ) = 16; run rate = divide(count(Runs_Scored) when Toss_Name = 'bat', sum(Over_Id)when Toss_Name = 'field'); name refers to Player_Name
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city refers to City_Name; U.A.E refers to Country_Name = 'U.A.E'
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first half refers to 1 < Over_Id and Over_Id < 25; average = divide(sum(Over_Id) when 1 < Over_Id and Over_Id < 25, sum(Runs_Scored)) as percentage; first innings refers to Innings_No = 1
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venue refers to Venue_Name; winning team refers to match_winner
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born in the 90s refers to DOB > = '1990-01-01' AND DOB < = '1999-12-31'
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batting team was the Delhi Daredevils refers to Team_Name = 'Delhi Daredevils' and Team_1 = Team_Id where Team_Batting = 1 or Team_2 = Team_Id where Team_Batting = 2; no runs scored refers to Runs_Scored = 0
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English umpires refers to Country_Name = 'England'
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on 2008/5/12 refers to Match_Date = '2008-05-12'; name refers to Player_Name;
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not won by runs refers to Win_Type ! = 'runs'
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type of match won refers to Win_Type
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the team named "Pune Warriors" refers to Team_Name = 'Pune Warriors'; the total number of won matches = count(Team_Name where Team_Id = Match_Winner)
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List the first team's name in the match with the highest winning margin.
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team's name refers to Team_Name; first team refers to Team_Id = Team_1; the highest winning margin refers to max(Win_Margin)
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venue refers to Venue_Name; Kolkata Knight Riders refers to Team_Name = 'Kolkata Knight Riders'; most of their matches refers to max(count(Venue_Id)); Team 1 refers to Team_Id = Team_1
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Australia refers to Country_Name = 'Australia'
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country refers to Country_Name; the majority of the players refers to max(count(Country_Name))
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resulted in a tie refers to Win_Type = 'Tie'; in 2015 refers to SUBSTR(Match_Date, 1, 4) = 2015
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year 2012 refers to Season_Year = 2012; name of player refers to Player_Name.; country of this player refers to Country_Name
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MA Chidambaram Stadium refers to Venue_Name = 'MA Chidambaram Stadium' ; from 5/9/2009 to 8/8/2011 refers to Match_Date between '2009-05-09' and '2011-08-08'
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won by runs refers to Win_Type = 'runs'; won the toss and decided to field refers to Toss_Winner and Toss_Name = 'field'; percentage = divide(count(Team_1) when Match_Winner = Team_1 and Toss_Winner = Team_1, count(Team_1)) as percentage
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name of player refers to Player_Name; the youngest refers to max(DOB)
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right hand as batting hand refers to Batting_Hand = 'Right-hand bat'; born after 1985 refers to SUBSTR(DOB, 1, 4) > 1985
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which country refers to Country_Id; most umpires refers to max(count(Umpire_Id))
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Between match nos. 335989 and 337000, how many times did a batsman score more than 3 runs during over no. 1, ball no. 1, and inning no. 1 of the matches?
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Between match no. 335989 and 337000 refers to 335989 < Match_Id < 337000; batsman score more than 3 runs during over no. 1, ball no. 1, and inning no. 1 of the matches refers to Runs_Scored > 3 and Over_Id = 1 and Ball_Id = 1 and Innings_No = 1
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name refers to Player_Name; youngest player refers to max(DOB)
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old refers to SUBTRACT(2022, SUBSTR(DOB, 1, 4)); Ishan Kishan refers to Player_Name = 'Ishan Kishan';
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in team 1 refers to Team_Id = 1; name of player refers to Player_Name;
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born before 10/16/1975 refers to DOB < 1975-10-16; bowling skill of less than 3 refers to Bowling_skill < 3
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Royal Challengers Bangalore refers to team_name = 'Royal Challengers Bangalore'; highest winning margin refers to MAX(win_margin)
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held in June 2014 refers to SUBSTR(Match_Date, 7, 1) = 6 and SUBSTR(Match_Date, 1, 4) = 2014
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the country the umpire comes from refers to Country_Name; BR Doctrove refers to Umpire_Name = 'BR Doctrove'
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role refers to Role_Desc; K Goel refers to Player_Name = 'K Goel'; match ID 335992 refers to Match_Id = 335992
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year refers to DOB; majority of the players refers to max(count(Player_Id))
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noballs refers to Extra_Name = 'noballs' ; average number = divide(sum(Extra_Runs), count(Extra_Runs))
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How many Orange Cap awards were won by CH Gayle?
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CH Gayle refers to Player_Name = 'CH Gayle'
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have left arm fast in bowling skill refers to Bowling_skill = 'Left-arm fast';
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4/18/2008 refers to Match_Date = 4/18/2008; end of 17 overs refers to count(Toss_Name = 'field' ) = 17; run rate = divide(sum(Runs_Scored) when Toss_Name = 'bat', sum(Over_Id) when Toss_Name = 'field')
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SC Ganguly refers to Player_Name = 'SC Ganguly'
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Yuvraj Singh refers to Player_Name = 'Yuvraj Singh'; receive the Man of the Match award refers to Player_Id = Man_of_the_Match
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R Dravid refers to Player_Name = 'R Dravid'; year born refers to DOB; role refers to Role_Desc
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Zimbabwean refers to Country_Name = 'Zimbabwea'; players refers to Player_Name
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the oldest refers to min(DOB); date of birth refers to DOB
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city named "Rajkot" refers to city_name = 'Rajkot';
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name of the player refers to Player_Name; born on July 7 1981 refers to DOB = '1981-07-07'
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Team 10 refers to Team_1 = 10 OR Team_2 = 10; in 2012 refers to SUBSTR(Match_Date, 1, 4) = '2012'
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Among the players who use the right hand as their batting hand, how many of them were born after 1985?
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right hand as batting hand refers to Batting_Hand = 'Right-hand bat'; born after 1985 refers to SUBSTR(DOB, 1, 4) > 1985
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got out refers to Player_Out; the first inning refers to Innings_No = 1; match ID "548335" refers to Match_Id = 548335
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born before 10/16/1975 refers to DOB < 1975-10-16; bowling skill of less than 3 refers to Bowling_skill < 3
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M Chinnaswamy Stadium refers to Venue_Name = 'M Chinnaswamy Stadium'; Maharashtra Cricket Association Stadium refers to Venue_Name = 'Maharashtra Cricket Association Stadium'; how many times = divide(count(Match_Id where Venue_Name = 'M Chinnaswamy Stadium'), count(Match_Id where Venue_Name = 'Maharashtra Cricket Association Stadium'))
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first half refers to 1 < Over_Id and Over_Id < 25; average = divide(sum(Over_Id) when 1 < Over_Id and Over_Id < 25, sum(Runs_Scored)) as percentage; first innings refers to Innings_No = 1
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4/18/2008 refers to Match_Date = 4/18/2008; end of 17 overs refers to count(Toss_Name = 'field' ) = 17; run rate = divide(sum(Runs_Scored) when Toss_Name = 'bat', sum(Over_Id) when Toss_Name = 'field')
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most number of balls refers to max(Ball_Id); match 501219 refers to Match_Id = 501219;
player id also refers to non_striker or ball_id
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year refers to DOB; majority of the players refers to max(count(Player_Id))
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which country refers to Country_Id; most umpires refers to max(count(Umpire_Id))
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were played in March 2010 refers to Match_Date = '2010-03%'
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season year 2008 refers to Season_Year = 2008
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How many first teams chose to bat after winning the toss?
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first teams refers to Team_1; chose to bat after winning the toss refers to Toss_Winner and Toss_Decide = 2
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role refers to of Role_Id; SC Ganguly refers to Player_Name = 'SC Ganguly'; on 2008/4/18 refers to Match_Date = '2008-04-18'
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SuperSport Park refers to Venue_Name = 'SuperSport Park'; Centurion refers to City_Name = 'Centurion'
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who refers to Team_Name
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play by the left hand refers to Batting_hand = 'Left-hand bat'
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SB Joshi refers to Player_Name = 'SB Joshi'; where the player come from refers to Country_Name
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not won by runs refers to Win_Type ! = 'runs'
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Dr DY Patil Sports Academy venue refers to Venue_Name = 'Dr DY Patil Sports Academy'; win by a margin of less than 10 refers to Win_Margin < 10; percentage = divide(count(Venue_Id) when Win_Margin < 10, sum(Venue_Id)) as percentage
|
name refers to Player_Name; youngest player refers to max(DOB)
|
Yuvraj Singh refers to Player_Name = 'Yuvraj Singh'; receive the Man of the Match award refers to Player_Id = Man_of_the_Match
|
role refers to Role_Desc; K Goel refers to Player_Name = 'K Goel'; match ID 335992 refers to Match_Id = 335992
|
What are the average extra runs given in the second innings of every match?
|
second innings refers to Innings_No = 2; average extra runs = divide(sum(Extra_Runs), count(Innings_No)) when Innings_No = 2
|
Delhi Daredevils refers to team_name = 'Delhi Daredevils'; in 2014 refers to Match_Date contains '2014';
|
bowling skill used by most players refers to max(count(Bowling_Skill))
|
the oldest refers to min(DOB); date of birth refers to DOB
|
U.A.E refers to Country_Name = 'U.A.E'
|
country refers to Country_Name; the oldest refers to min(DOB)
|
id of the player who won the Orange Cap refers to Orange_Cap; for 2 consecutive seasons refers to count(Season_Year) > 1
|
SC Ganguly refers to Player_Name = 'SC Ganguly'; role refers to Role_Desc
|
full name refers to Player_Name; in 2013 refers to Season_Year = 2013
|
Who refers to Player_Name; youngest player to have won the Purple Cap refers to min(subtract(Season_Year, DOB))
|
got out refers to Player_Out; the first inning refers to Innings_No = 1; match ID "548335" refers to Match_Id = 548335
|
List the names of players who played as a keeper.
|
played as a keeper refers to Role_Desc = 'Keeper'; name of player refers to Player_Name;
|
in May 2008 refers to SUBSTR(Match_Date, 1, 4) = '2008' AND SUBSTR(Match_Date, 7, 1) = '5'
|
MA Chidambaram Stadium refers to Venue_Name = 'MA Chidambaram Stadium' ; from 5/9/2009 to 8/8/2011 refers to Match_Date between '2009-05-09' and '2011-08-08'
|
Delhi Daredevils refers to team_name = 'Delhi Daredevils'; in 2009 refers to Match_Date = '2009%'; won by wickets refers to Win_Type = 'wickets'; percentage refers to DIVIDE(COUNT(Win_Type = 'wickets'), COUNT(Win_Type))
|
name of the venue refers to Venue_Name; most number of matches refers to max(count(Venue_Id))
|
East London refers to City_Name = 'East London'
|
city named "Rajkot" refers to city_name = 'Rajkot';
|
name of the team refers to Team_Name; the highest number of losses refers to max(add(count(Team_1 where Team_Id = Team_1 and Team_1 <> Match_Winner), count(Team_2 where Team_Id = Team_2 and Team_2 <> Match_Winner)))
|
Mohammad Hafeez refers to Player_Name = 'Mohammad Hafeez';
|
Team 10 refers to Team_1 = 10 OR Team_2 = 10; in 2012 refers to SUBSTR(Match_Date, 1, 4) = '2012'
|
right hand as batting hand refers to Batting_Hand = 'Right-hand bat'; born after 1985 refers to SUBSTR(DOB, 1, 4) > 1985
|
How many players are Indians?
|
are Indians refers to Country_Name = 'India'
|
which country refers to Country_Id; most umpires refers to max(count(Umpire_Id))
|
MK Pandey refers to Player_Name = 'MK Pandey'
|
M Chinnaswamy Stadium refers to Venue_Name = 'M Chinnaswamy Stadium'; Maharashtra Cricket Association Stadium refers to Venue_Name = 'Maharashtra Cricket Association Stadium'; how many times = divide(count(Match_Id where Venue_Name = 'M Chinnaswamy Stadium'), count(Match_Id where Venue_Name = 'Maharashtra Cricket Association Stadium'))
|
seasons from 2011 to 2015 refers to 2011 < Season_Year < 2015
|
role refers to Role_Desc; K Goel refers to Player_Name = 'K Goel'; match ID 335992 refers to Match_Id = 335992
|
played as a keeper refers to Role_Desc = 'Keeper'; name of player refers to Player_Name;
|
decide to bowl first refers to Toss_Name = 'field'; from 2010 to 2016 refers to Match_Date BETWEEN '2010-01-01' AND '2016-12-31'; percent = divide(count(Toss_Id where Toss_Name = 'field'), count(Toss_Id)) * 100% where Match_Date BETWEEN '2010-01-01' AND '2016-12-31'
|
won by runs refers to win_type = 1; percentage refers to DIVIDE(COUNT(win_type = 1), COUNT(Win_Type)) * 100
|
venue refers to Venue_Name; Kolkata Knight Riders refers to Team_Name = 'Kolkata Knight Riders'; most of their matches refers to max(count(Venue_Id)); Team 1 refers to Team_Id = Team_1
|
right-handed batting refers to Batting_hand = 'Right-hand bat'; percentage = divide(count(Player_Id where Batting_hand = 'Right-hand bat'), count(Player_Id)) * 100%
|
Calculate the run rate at the end of 17 overs of the match ID 335987 on 4/18/2008.
|
4/18/2008 refers to Match_Date = 4/18/2008; end of 17 overs refers to count(Toss_Name = 'field' ) = 17; run rate = divide(sum(Runs_Scored) when Toss_Name = 'bat', sum(Over_Id) when Toss_Name = 'field')
|
born in 1977 refers to DOB LIKE '1977%'; a role as a captain refers to Role_Desc = 'Captain'; percentage = divide(count(Role_Id where Role_Desc = 'Captain'), count(Role_Id)) * 100% where DOB LIKE '1977%'
|
decide to bowl first refers to Toss_Name = 'field'; from 2010 to 2016 refers to Match_Date BETWEEN '2010-01-01' AND '2016-12-31'; percent = divide(count(Toss_Id where Toss_Name = 'field'), count(Toss_Id)) * 100% where Match_Date BETWEEN '2010-01-01' AND '2016-12-31'
|
id of the player who won the Orange Cap refers to Orange_Cap; for 2 consecutive seasons refers to count(Season_Year) > 1
|
played as a keeper refers to Role_Desc = 'Keeper'; name of player refers to Player_Name;
|
first teams refers to Team_1; chose to bat after winning the toss refers to Toss_Winner and Toss_Decide = 2
|
the country the umpire comes from refers to Country_Name; BR Doctrove refers to Umpire_Name = 'BR Doctrove'
|
won by runs refers to Win_Type = 'runs'; won the toss and decided to field refers to Toss_Winner and Toss_Name = 'field'; percentage = divide(count(Team_1) when Match_Winner = Team_1 and Toss_Winner = Team_1, count(Team_1)) as percentage
|
in 2009 refers to Match_Date like '2009%'; win margins of less than 10 refers to Win_Margin < 10;
|
captain-keeper refers to Role_Desc = 'CaptainKeeper'; Rising Pune Supergiants refers to Role_Desc = 'CaptainKeeper'
|
have left arm fast in bowling skill refers to Bowling_skill = 'Left-arm fast';
|
What is the percentage of matches that are won by runs?
|
won by runs refers to win_type = 1; percentage refers to DIVIDE(COUNT(win_type = 1), COUNT(Win_Type)) * 100
|
name of the player refers to Player_Name; the highest number of outstanding player awards refers to max(count(Man_of_the_Match))
|
Between match no. 335989 and 337000 refers to 335989 < Match_Id < 337000; batsman score more than 3 runs during over no. 1, ball no. 1, and inning no. 1 of the matches refers to Runs_Scored > 3 and Over_Id = 1 and Ball_Id = 1 and Innings_No = 1
|
who refers to Team_Name
|
born in the 80s refers to DOB like '198%'; have bowling skill of 2 refers to Bowling_skill = 2;
|
bat with their right hand refers to Batting_hand = 'Right-hand bat'; average = divide(count(Player_Id) when Batting_hand = 'Right-hand bat', count(Country_Name))
|
captain-keeper refers to Role_Desc = 'CaptainKeeper'; Rising Pune Supergiants refers to Role_Desc = 'CaptainKeeper'
|
SC Ganguly refers to Player_Name = 'SC Ganguly'
|
right-handed batting refers to Batting_hand = 'Right-hand bat'; percentage = divide(count(Player_Id where Batting_hand = 'Right-hand bat'), count(Player_Id)) * 100%
|
id of the player who won the Orange Cap refers to Orange_Cap; for 2 consecutive seasons refers to count(Season_Year) > 1
|
M Chinnaswamy Stadium refers to Venue_Name = 'M Chinnaswamy Stadium'; Maharashtra Cricket Association Stadium refers to Venue_Name = 'Maharashtra Cricket Association Stadium'; how many times = divide(count(Match_Id where Venue_Name = 'M Chinnaswamy Stadium'), count(Match_Id where Venue_Name = 'Maharashtra Cricket Association Stadium'))
|
Which is the country of the city named "Rajkot"?
|
city named "Rajkot" refers to city_name = 'Rajkot';
|
lowest winning margin refers to MIN(win_margin); team name refers to team_name; second team refers to team_2
|
SC Ganguly refers to Player_Name = 'SC Ganguly'
|
Dr DY Patil Sports Academy venue refers to Venue_Name = 'Dr DY Patil Sports Academy'; win by a margin of less than 10 refers to Win_Margin < 10; percentage = divide(count(Venue_Id) when Win_Margin < 10, sum(Venue_Id)) as percentage
|
name of the player refers to Player_Name; born on July 7 1981 refers to DOB = '1981-07-07'
|
When refers to Match_Date; youngest player refers to max(DOB); first match refers to min(Match_Date)
|
country refers to Country_Name; the majority of the players refers to max(count(Country_Name))
|
Delhi Daredevils refers to team_name = 'Delhi Daredevils'; in 2014 refers to Match_Date contains '2014';
|
left hand batting style players refers to Batting_hand = 'Left-hand bat'; percentage refers to DIVIDE(COUNT(Batting_hand = 'Left-hand bat'), COUNT(Player_Id)) * 100.0
|
name refers to Player_Name; youngest player refers to max(DOB)
|
role refers to Role_Desc; K Goel refers to Player_Name = 'K Goel'; match ID 335992 refers to Match_Id = 335992
|
What are the names of players who had been man of the match more than 5 times in season year 2008?
|
man of the match more than 5 times refers to COUNT(Man_of_the_Match) > 5; in season year 2008 refers to Season_Year = 2008; name of player refers to Player_Name;
|
the team named "Pune Warriors" refers to Team_Name = 'Pune Warriors'; the total number of won matches = count(Team_Name where Team_Id = Match_Winner)
|
MA Chidambaram Stadium refers to Venue_Name = 'MA Chidambaram Stadium' ; from 5/9/2009 to 8/8/2011 refers to Match_Date between '2009-05-09' and '2011-08-08'
|
fewest number of matches refers to min(count(Match_Id))
|
most number of balls refers to max(Ball_Id); match 501219 refers to Match_Id = 501219;
player id also refers to non_striker or ball_id
|
role refers to of Role_Id; SC Ganguly refers to Player_Name = 'SC Ganguly'; on 2008/4/18 refers to Match_Date = '2008-04-18'
|
Indian refers to Country_Name = 'India'
|
Who refers to Player_Name; youngest player to have won the Purple Cap refers to min(subtract(Season_Year, DOB))
|
SC Ganguly refers to Player_Name = 'SC Ganguly'; role refers to Role_Desc
|
right-handed batting refers to Batting_hand = 'Right-hand bat'; percentage = divide(count(Player_Id where Batting_hand = 'Right-hand bat'), count(Player_Id)) * 100%
|
names of the venues refers to Venue_Name; Abu Dhabi refers to City_Name = 'Abu Dhabi'
|
List down names of teams that have played as second team against Pune Warriors.
|
names of teams refers to Team_Name; second team refers to Team_2; Pune Warriors refers to Team_Name = 'Pune Warriors'
|
date of birth refers to DOB; 2014 refers to Season_Year = 2014; Orange Cap winner refers to Orange_Cap IS NOT NULL
|
on 2008/5/12 refers to Match_Date = '2008-05-12'; name refers to Player_Name;
|
captain and keeper refers to Role_Desc = 'CaptainKeeper'; percentage = divide(count(Player_Id) when Role_Desc = 'CaptainKeeper', count(Player_Id)) as percentage
|
name of the venue, city and country refers to Venue_Name and City_Name and Country_Name; last match refers to max(Match_Date)
|
city refers to City_Name; M Chinnaswamy Stadium refers to Venue_Name = 'M Chinnaswamy Stadium'
|
venue refers to Venue_Name
|
not won by runs refers to Win_Type ! = 'runs'
|
point of winning margin of 38 refers to win_margin = 38; on April 30, 2009 refers to match_date = '2009-04-30'; team refers to Team_Name;
|
won by runs refers to win_type = 1; percentage refers to DIVIDE(COUNT(win_type = 1), COUNT(Win_Type)) * 100
|
MK Pandey refers to Player_Name = 'MK Pandey'
|
In the match ID 419135, who won by runs?
|
who refers to Team_Name
|
on 2008/5/12 refers to Match_Date = '2008-05-12'; name refers to Player_Name;
|
Yuvraj Singh refers to Player_Name = 'Yuvraj Singh'; receive the Man of the Match award refers to Player_Id = Man_of_the_Match
|
played as a keeper refers to Role_Desc = 'Keeper'; name of player refers to Player_Name;
|
name of the team refers to Team_Name; won the first ever match refers to Match_Winner where max(Match_Date)
|
SB Joshi refers to Player_Name = 'SB Joshi'; where the player come from refers to Country_Name
|
names of teams refers to Team_Name; second team refers to Team_2; Pune Warriors refers to Team_Name = 'Pune Warriors'
|
When refers to Match_Date; youngest player refers to max(DOB); first match refers to min(Match_Date)
|
the team named "Pune Warriors" refers to Team_Name = 'Pune Warriors'; the total number of won matches = count(Team_Name where Team_Id = Match_Winner)
|
Delhi Daredevils refers to team_name = 'Delhi Daredevils'; in 2014 refers to Match_Date contains '2014';
|
bowling skill greater than 2 refers to Bowling_skill > 2
|
Give the date of birth of the 2014 Orange Cap winner.
|
date of birth refers to DOB; 2014 refers to Season_Year = 2014; Orange Cap winner refers to Orange_Cap IS NOT NULL
|
full name refers to Player_Name; in 2013 refers to Season_Year = 2013
|
Dr DY Patil Sports Academy venue refers to Venue_Name = 'Dr DY Patil Sports Academy'; win by a margin of less than 10 refers to Win_Margin < 10; percentage = divide(count(Venue_Id) when Win_Margin < 10, sum(Venue_Id)) as percentage
|
got out refers to Player_Out; the first inning refers to Innings_No = 1; match ID "548335" refers to Match_Id = 548335
|
Sunrisers Hyderabad team refers to Team_Name = 'Sunrisers Hyderabad'; in 2013 refers to Match_Date like '2013%';
|
Between match no. 335989 and 337000 refers to 335989 < Match_Id < 337000; batsman score more than 3 runs during over no. 1, ball no. 1, and inning no. 1 of the matches refers to Runs_Scored > 3 and Over_Id = 1 and Ball_Id = 1 and Innings_No = 1
|
name of teams refers to Team_Name; won the toss refers to Toss_Winner; matches with ID from 336010 to 336020 refers to Match_Id BETWEEN 336010 AND 336020
|
Team 10 refers to Team_1 = 10 OR Team_2 = 10; in 2012 refers to SUBSTR(Match_Date, 1, 4) = '2012'
|
venue refers to Venue_Name; Kolkata Knight Riders refers to Team_Name = 'Kolkata Knight Riders'; most of their matches refers to max(count(Venue_Id)); Team 1 refers to Team_Id = Team_1
|
name of the player refers to Player_Name; born on July 7 1981 refers to DOB = '1981-07-07'
|
scored less than 3 refers to Runs_Scored < 3; name of player refers to Player_name;
|
List the players' names who were born in 1971.
|
players' name refers to Player_name; born in 1971 refers to DOB LIKE '1971%'
|
name and country of the players refers to Player_Name and Country_Name; catches refers to Out_name = 'caught'; average catches refers to divide(count(Player_ID) when Out_name = 'caught', sum(Player_ID))
|
name of players refers to Player_Name
|
not won by runs refers to Win_Type ! = 'runs'
|
venue refers to Venue_Name; Kolkata Knight Riders refers to Team_Name = 'Kolkata Knight Riders'; most of their matches refers to max(count(Venue_Id)); Team 1 refers to Team_Id = Team_1
|
Dr DY Patil Sports Academy venue refers to Venue_Name = 'Dr DY Patil Sports Academy'; win by a margin of less than 10 refers to Win_Margin < 10; percentage = divide(count(Venue_Id) when Win_Margin < 10, sum(Venue_Id)) as percentage
|
date of the match refers to Match_Date; highest wager refers to max(Win_Margin)
|
held in St. George's Park refers to Venue_Name = 'St George''s Park'; highest winning margin points refers to MAX(Win_Margin)
|
name refers to Player_Name; youngest player refers to max(DOB)
|
city refers to City_Name; U.A.E refers to Country_Name = 'U.A.E'
|
SC Ganguly refers to Player_Name = 'SC Ganguly'; in season year 2008 refers to Season_Year = 2008
|
In how many games in which the batting team was the Delhi Daredevils were no runs scored?
|
batting team was the Delhi Daredevils refers to Team_Name = 'Delhi Daredevils' and Team_1 = Team_Id where Team_Batting = 1 or Team_2 = Team_Id where Team_Batting = 2; no runs scored refers to Runs_Scored = 0
|
player no.41 won the "man of the match" refers to Man_of_the_Match = 41
|
city named "Rajkot" refers to city_name = 'Rajkot';
|
SC Ganguly refers to Player_Name = 'SC Ganguly'; team captain refers to Role_Desc = 'Captain'
|
right-handed batting refers to Batting_hand = 'Right-hand bat'; percentage = divide(count(Player_Id where Batting_hand = 'Right-hand bat'), count(Player_Id)) * 100%
|
name of the player refers to Player_Name; man of the series more than one time refers to count(Man_of_the_Series) > 1
|
Pune Warriors refers to Team_Name = 'Pune Warriors'
|
in 2008 refers to Match_Date like '2008%'
|
name of venues refers to Venue_Name; season 2 refers to Season_Id = 2
|
MK Pandey refers to Player_Name = 'MK Pandey'
|
have left arm fast in bowling skill refers to Bowling_skill = 'Left-arm fast';
|
How many times has Sunrisers Hyderabad been the toss winner of a game?
|
Sunrisers Hyderabad refers to Team_Name = 'Sunrisers Hyderabad'; time of toss winner refers to count(Toss_Winner)
|
name of the player refers to Player_Name; man of the series more than one time refers to count(Man_of_the_Series) > 1
|
SuperSport Park refers to Venue_Name = 'SuperSport Park'; Centurion refers to City_Name = 'Centurion'
|
got out refers to Player_Out; the first inning refers to Innings_No = 1; match ID "548335" refers to Match_Id = 548335
|
bowling skill greater than 2 refers to Bowling_skill > 2
|
players' name refers to Player_name; born in 1971 refers to DOB LIKE '1971%'
|
old refers to SUBTRACT(2022, SUBSTR(DOB, 1, 4)); Ishan Kishan refers to Player_Name = 'Ishan Kishan';
|
first teams refers to Team_1; chose to bat after winning the toss refers to Toss_Winner and Toss_Decide = 2
|
born in 1977 refers to DOB LIKE '1977%'; a role as a captain refers to Role_Desc = 'Captain'; percentage = divide(count(Role_Id where Role_Desc = 'Captain'), count(Role_Id)) * 100% where DOB LIKE '1977%'
|
role refers to Role_Desc; K Goel refers to Player_Name = 'K Goel'; match ID 335992 refers to Match_Id = 335992
|
born before 10/16/1975 refers to DOB < 1975-10-16; bowling skill of less than 3 refers to Bowling_skill < 3
|
List the ball IDs, scores, and innings numbers in the over ID 20 of match ID "335988".
|
innings numbers refers to Innings_No
|
in 2009 refers to Match_Date like '2009%'; win margins of less than 10 refers to Win_Margin < 10;
|
bowling skill used by most players refers to max(count(Bowling_Skill))
|
captain-keeper refers to Role_Desc = 'CaptainKeeper'; Rising Pune Supergiants refers to Role_Desc = 'CaptainKeeper'
|
SC Ganguly refers to Player_Name = 'SC Ganguly'; role refers to Role_Desc
|
losing team's name refers to Team_Id NOT in "match_winner" column
|
date of birth refers to DOB; 2014 refers to Season_Year = 2014; Orange Cap winner refers to Orange_Cap IS NOT NULL
|
held in St. George's Park refers to Venue_Name = 'St George''s Park'; highest winning margin points refers to MAX(Win_Margin)
|
were played in March 2010 refers to Match_Date = '2010-03%'
|
country refers to Country_Name; the majority of the players refers to max(count(Country_Name))
|
Sunrisers Hyderabad refers to Team_Name = 'Sunrisers Hyderabad'; time of toss winner refers to count(Toss_Winner)
|
What year was R Dravid born and the role he played?
|
R Dravid refers to Player_Name = 'R Dravid'; year born refers to DOB; role refers to Role_Desc
|
play by the left hand refers to Batting_hand = 'Left-hand bat'
|
scored less than 3 refers to Runs_Scored < 3; name of player refers to Player_name;
|
country refers to Country_Name; the oldest refers to min(DOB)
|
noballs refers to Extra_Name = 'noballs' ; average number = divide(sum(Extra_Runs), count(Extra_Runs))
|
old refers to SUBTRACT(2022, SUBSTR(DOB, 1, 4)); Ishan Kishan refers to Player_Name = 'Ishan Kishan';
|
SC Ganguly refers to Player_Name = 'SC Ganguly'; in season year 2008 refers to Season_Year = 2008
|
from South Africa refers to Country_Name = 'South Africa'; born in 1984 refers to DOB like '1984%';
|
names of teams refers to Team_Name; second team refers to Team_2; Pune Warriors refers to Team_Name = 'Pune Warriors'
|
name of the team refers to Team_Name; won the first ever match refers to Match_Winner where max(Match_Date)
|
CH Gayle refers to Player_Name = 'CH Gayle'
|
Of the matches that were won by runs by team 1, what percentage have team 1 won the toss and decided to field?
|
won by runs refers to Win_Type = 'runs'; won the toss and decided to field refers to Toss_Winner and Toss_Name = 'field'; percentage = divide(count(Team_1) when Match_Winner = Team_1 and Toss_Winner = Team_1, count(Team_1)) as percentage
|
Team 10 refers to Team_1 = 10 OR Team_2 = 10; in 2012 refers to SUBSTR(Match_Date, 1, 4) = '2012'
|
man of the match more than 5 times refers to COUNT(Man_of_the_Match) > 5; in season year 2008 refers to Season_Year = 2008; name of player refers to Player_Name;
|
city refers to City_Name; U.A.E refers to Country_Name = 'U.A.E'
|
East London refers to City_Name = 'East London'
|
Delhi Daredevils refers to team_name = 'Delhi Daredevils'; in 2014 refers to Match_Date contains '2014';
|
match date refers to Match_Date; Chennai Super Kings refers to Team_Name = 'Chennai Super Kings'; first match refers to min(Match_Date)
|
second innings refers to Innings_No = 2; average extra runs = divide(sum(Extra_Runs), count(Innings_No)) when Innings_No = 2
|
4/18/2008 refers to Match_Date = 4/18/2008; end of 17 overs refers to count(Toss_Name = 'field' ) = 17; run rate = divide(sum(Runs_Scored) when Toss_Name = 'bat', sum(Over_Id) when Toss_Name = 'field')
|
name refers to Player_Name; youngest player refers to max(DOB)
|
venue refers to Venue_Name; Kolkata Knight Riders refers to Team_Name = 'Kolkata Knight Riders'; most of their matches refers to max(count(Venue_Id)); Team 1 refers to Team_Id = Team_1
|
How many matches were there in May, 2008?
|
in May 2008 refers to SUBSTR(Match_Date, 1, 4) = '2008' AND SUBSTR(Match_Date, 7, 1) = '5'
|
won by wickets refers to Win_type = 'wickets';
|
old refers to SUBTRACT(2022, SUBSTR(DOB, 1, 4)); Ishan Kishan refers to Player_Name = 'Ishan Kishan';
|
the team named "Pune Warriors" refers to Team_Name = 'Pune Warriors'; the total number of won matches = count(Team_Name where Team_Id = Match_Winner)
|
Pune Warriors refers to Team_Name = 'Pune Warriors'
|
role refers to Role_Desc; K Goel refers to Player_Name = 'K Goel'; match ID 335992 refers to Match_Id = 335992
|
scored less than 3 refers to Runs_Scored < 3; name of player refers to Player_name;
|
name refers to Player_Name; captain keeper refers to Role_Desc = 'CaptainKeeper'; match no.419117 refers to Match_Id = '419117'
|
most number of balls refers to max(Ball_Id); match 501219 refers to Match_Id = 501219;
player id also refers to non_striker or ball_id
|
Australia refers to Country_Name = 'Australia'
|
played as a keeper refers to Role_Desc = 'Keeper'; name of player refers to Player_Name;
|
How many players are from Australia?
|
Australia refers to Country_Name = 'Australia'
|
fewest number of matches refers to min(count(Match_Id))
|
Team 10 refers to Team_1 = 10 OR Team_2 = 10; in 2012 refers to SUBSTR(Match_Date, 1, 4) = '2012'
|
SC Ganguly refers to Player_Name = 'SC Ganguly'; team captain refers to Role_Desc = 'Captain'
|
not won by runs refers to Win_Type ! = 'runs'
|
born in the 90s refers to DOB > = '1990-01-01' AND DOB < = '1999-12-31'
|
most number of balls refers to max(Ball_Id); match 501219 refers to Match_Id = 501219;
player id also refers to non_striker or ball_id
|
date of the matches refers to Match_Date; held in Kingsmead refers to Venue_Name = 'Kingsmead'
|
name of player refers to Player_Name; the youngest refers to max(DOB)
|
born in 1977 refers to DOB LIKE '1977%'; name refers to Player_Name; birthdate refers to DOB; England refers to Country_Name = 'England'
|
Delhi Daredevils refers to team_name = 'Delhi Daredevils'; in 2009 refers to Match_Date = '2009%'; won by wickets refers to Win_Type = 'wickets'; percentage refers to DIVIDE(COUNT(Win_Type = 'wickets'), COUNT(Win_Type))
|
Provide the losing team's name in the match ID 336039.
|
losing team's name refers to Team_Id NOT in "match_winner" column
|
the country the umpire comes from refers to Country_Name; BR Doctrove refers to Umpire_Name = 'BR Doctrove'
|
city refers to City_Name; no-result matches refers to Win_type = 'NoResult'; least number refers to min(count(Win_type = 'NoResult'))
|
country refers to Country_Name; the oldest refers to min(DOB)
|
venue refers to Venue_Name
|
Royal Challengers Bangalore refers to team_name = 'Royal Challengers Bangalore'; highest winning margin refers to MAX(win_margin)
|
are Indians refers to Country_Name = 'India'
|
won by wickets refers to Win_type = 'wickets';
|
4/18/2008 refers to Match_Date = 4/18/2008; end of 17 overs refers to count(Toss_Name = 'field' ) = 17; run rate = divide(sum(Runs_Scored) when Toss_Name = 'bat', sum(Over_Id) when Toss_Name = 'field')
|
name of the team refers to Team_Name; the highest number of losses refers to max(add(count(Team_1 where Team_Id = Team_1 and Team_1 <> Match_Winner), count(Team_2 where Team_Id = Team_2 and Team_2 <> Match_Winner)))
|
type of match won refers to Win_Type
|
What is the difference in the average number of players out by lbw and runout in the matches?
|
out by lbw refers to Out_Id = 4; runout refers to Out_Id = 3; average out by lbw refers to avg(Player_Out when Out_Id = 4); average out by runout refers to avg(Player_Out when Out_Id = 3)
|
CH Gayle refers to Player_Name = 'CH Gayle'
|
venue refers to Venue_Name; Kolkata Knight Riders refers to Team_Name = 'Kolkata Knight Riders'; most of their matches refers to max(count(Venue_Id)); Team 1 refers to Team_Id = Team_1
|
resulted in a tie refers to Win_Type = 'Tie'; in 2015 refers to SUBSTR(Match_Date, 1, 4) = 2015
|
'slow left-arm chinaman' bowling style refers to Bowling_skill = 'Slow left-arm chinaman'; most players refers to max(count(Country_Id))
|
in 2009 refers to Match_Date like '2009%'; win margins of less than 10 refers to Win_Margin < 10;
|
point of winning margin of 38 refers to win_margin = 38; on April 30, 2009 refers to match_date = '2009-04-30'; team refers to Team_Name;
|
season year 2008 refers to Season_Year = 2008
|
from South Africa refers to Country_Name = 'South Africa'; born in 1984 refers to DOB like '1984%';
|
were played in March 2010 refers to Match_Date = '2010-03%'
|
SC Ganguly refers to Player_Name = 'SC Ganguly'; role refers to Role_Desc
|
Which season has the fewest number of matches?
|
fewest number of matches refers to min(count(Match_Id))
|
the oldest refers to min(DOB); date of birth refers to DOB
|
Legbreak skill refers to Bowling_skill = 'Legbreak' ; percentage = divide(sum(Player_Id) when Bowling_skill = 'Legbreak', count(Player_Id)) as percentage
|
Australia refers to Country_Name = 'Australia'
|
SC Ganguly refers to Player_Name = 'SC Ganguly'; team captain refers to Role_Desc = 'Captain'
|
season year 2008 refers to Season_Year = 2008
|
which country refers to Country_Id; most umpires refers to max(count(Umpire_Id))
|
have left arm fast in bowling skill refers to Bowling_skill = 'Left-arm fast';
|
Sunrisers Hyderabad team refers to Team_Name = 'Sunrisers Hyderabad'; in 2013 refers to Match_Date like '2013%';
|
city refers to City_Name; no-result matches refers to Win_type = 'NoResult'; least number refers to min(count(Win_type = 'NoResult'))
|
won by runs refers to Win_Type = 'runs'; won the toss and decided to field refers to Toss_Winner and Toss_Name = 'field'; percentage = divide(count(Team_1) when Match_Winner = Team_1 and Toss_Winner = Team_1, count(Team_1)) as percentage
|
Among the matches held in St. George's Park, give the match ID of the match with the highest winning margin points.
|
held in St. George's Park refers to Venue_Name = 'St George''s Park'; highest winning margin points refers to MAX(Win_Margin)
|
were played in March 2010 refers to Match_Date = '2010-03%'
|
M Chinnaswamy Stadium refers to Venue_Name = 'M Chinnaswamy Stadium'; Maharashtra Cricket Association Stadium refers to Venue_Name = 'Maharashtra Cricket Association Stadium'; how many times = divide(count(Match_Id where Venue_Name = 'M Chinnaswamy Stadium'), count(Match_Id where Venue_Name = 'Maharashtra Cricket Association Stadium'))
|
Pune Warriors refers to Team_Name = 'Pune Warriors'
|
seasons from 2011 to 2015 refers to 2011 < Season_Year < 2015
|
team's name refers to Team_Name; first team refers to Team_Id = Team_1; the highest winning margin refers to max(Win_Margin)
|
captain-keeper refers to Role_Desc = 'CaptainKeeper'; Rising Pune Supergiants refers to Role_Desc = 'CaptainKeeper'
|
born before 10/16/1975 refers to DOB < 1975-10-16; bowling skill of less than 3 refers to Bowling_skill < 3
|
winning margin of 6 points refers to Win_Margin = 6; held on April 26, 2009 refers to Match_Date = '2009-04-26'
|
point of winning margin of 38 refers to win_margin = 38; on April 30, 2009 refers to match_date = '2009-04-30'; team refers to Team_Name;
|
city refers to City_Name; M Chinnaswamy Stadium refers to Venue_Name = 'M Chinnaswamy Stadium'
|
Among all the tweets posted on Mondays, how many of them are reshared?
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
retweet more than 30 times refers to RetweetCount > 30
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
over 1000 likes refers to Likes > 1000; 'Male' is the Gender of user
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
tweet with the most likes refers to Max(Likes)
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
country with the most positive sentiment tweet refers to Country where Max(Count(Sentiment > 0))
|
"tw-682714583044243456" is the TweetID
|
Among all the users that have posted a tweet with over 1000 likes, how many of them are male?
|
over 1000 likes refers to Likes > 1000; 'Male' is the Gender of user
|
neutral sentiment refers to Sentiment = 0
|
male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
"Buenos Aires" is the City; male user refers to Gender = 'Male'
|
"Argentina" is the Country
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
seen by more than 1000 unique users refers to Reach > 1000
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
List down all of the texts posted on Twitter on Thursday.
|
"Thursday" is the Weekday
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
tweet with the most likes refers to Max(Likes)
|
retweet more than 30 times refers to RetweetCount > 30
|
"Australia" is the Country
|
"en" is the language and refers to Lang = 'en'; most tweet in 'en' refers to Max(Count(text where Lang = 'en'))
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
english is the language and refers to Lang = 'en'
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
How many tweets in French were posted from Australia?
|
"French" is the language and refers to Lang = 'fr'; 'Australia' is the Country
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
tw-685681052912873473' is the TweetID
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
"Australia" is the Country
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
"Brazil" is the Country; language refers to Lang
|
Among all the tweets sent by male users in Argentina, what is the text of the one with the most number of likes?
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
seen by the most number of unique users refers to Max(Reach)
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
tweet got 535 retweets refers to RetweetCount = 535
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
positive sentiment tweet refers to Sentiment > 0; neutral sentiment refers to Sentiment = 0; male user refers to Gender = 'Male'; difference = Subtract (Count (TweetID where Sentiment > 0), Count (TweetID where Sentiment = 0))
|
tweet with the most likes refers to Max(Likes)
|
Please list the texts of all the tweets in French posted by male users.
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
"Australia" is the Country
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
tw-685681052912873473' is the TweetID
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
"en" is the language and refers to Lang = 'en'; most tweet in 'en' refers to Max(Count(text where Lang = 'en'))
|
seen by the most number of unique users refers to Max(Reach)
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
"California" is the State; positive tweet refers to Sentiment > 0; percentage = Divide (Count(TweetID where Sentiment > 0), Count (TweetID)) * 100
|
Please list all the cities from where tweets with neutral sentiments were posted.
|
neutral sentiment refers to Sentiment = 0
|
"Buenos Aires" is the City; male user refers to Gender = 'Male'
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))
|
"French" is the language and refers to Lang = 'fr'; 'Australia' is the Country
|
unknown gender user refers to Gender = 'Unknown'
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
"Argentina" and "Australia" are both Country; positive tweets refers to Sentiment > 0; Country posted more number of tweets refers to Country where Max(Count(TweetID))
|
"Australia" is the Country
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
Which state was the tweet `tw-685681052912873473` from? Give the state code.
|
tw-685681052912873473' is the TweetID
|
tweet got 535 retweets refers to RetweetCount = 535
|
country with the most positive sentiment tweet refers to Country where Max(Count(Sentiment > 0))
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
"en" is the language and refers to Lang = 'en'
|
What is the gender of the user whose tweet got 535 retweets?
|
tweet got 535 retweets refers to RetweetCount = 535
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
"Australia" is the Country
|
"Brazil" is the Country; language refers to Lang
|
tw-685681052912873473' is the TweetID
|
english is the language and refers to Lang = 'en'
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
"French" is the language and refers to Lang = 'fr'; 'Australia' is the Country
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
How many tweets are seen by more than 1000 unique users?
|
seen by more than 1000 unique users refers to Reach > 1000
|
male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
tw-685681052912873473' is the TweetID
|
over 1000 likes refers to Likes > 1000; 'Male' is the Gender of user
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
"Thursday" is the Weekday
|
"Argentina" and "Australia" are both Country; positive tweets refers to Sentiment > 0; Country posted more number of tweets refers to Country where Max(Count(TweetID))
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
got the most like refers to Max(Likes)
|
Users in which country has posted more numbers of positive tweets, Argentina or Australia?
|
"Argentina" and "Australia" are both Country; positive tweets refers to Sentiment > 0; Country posted more number of tweets refers to Country where Max(Count(TweetID))
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
"Argentina" is the Country
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
"en" is the language and refers to Lang = 'en'
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
retweet more than 30 times refers to RetweetCount > 30
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
What is the percentage of the tweets from California are positive?
|
"California" is the State; positive tweet refers to Sentiment > 0; percentage = Divide (Count(TweetID where Sentiment > 0), Count (TweetID)) * 100
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
"Australia" is the Country
|
reshared refers to Isreshare = 'TRUE'; 'Buenos Aires' is the City
|
got the most like refers to Max(Likes)
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
retweet more than 30 times refers to RetweetCount > 30
|
"tw-715909161071091712" is the TweetID
|
seen by more than 1000 unique users refers to Reach > 1000
|
tw-685681052912873473' is the TweetID
|
Users in which city of Argentina post the most tweets?
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
"tw-682714583044243456" is the TweetID
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
positive sentiment tweet refers to Sentiment > 0; neutral sentiment refers to Sentiment = 0; male user refers to Gender = 'Male'; difference = Subtract (Count (TweetID where Sentiment > 0), Count (TweetID where Sentiment = 0))
|
male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))
|
"en" is the language and refers to Lang = 'en'; most tweet in 'en' refers to Max(Count(text where Lang = 'en'))
|
Count the total number of tweet IDs in `en`.
|
"en" is the language and refers to Lang = 'en'
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
"Sante Fe" is the State; "Argentina" is the Country; posted on 31st refers to Day = 31
|
seen by more than 1000 unique users refers to Reach > 1000
|
"en" is the language and refers to Lang = 'en'; most tweet in 'en' refers to Max(Count(text where Lang = 'en'))
|
positive sentiment tweet refers to Sentiment > 0; neutral sentiment refers to Sentiment = 0; male user refers to Gender = 'Male'; difference = Subtract (Count (TweetID where Sentiment > 0), Count (TweetID where Sentiment = 0))
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
tweet got 535 retweets refers to RetweetCount = 535
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
List down the text of tweets posted by unknown gender users.
|
unknown gender user refers to Gender = 'Unknown'
|
neutral sentiment refers to Sentiment = 0
|
"Thursday" is the Weekday
|
retweet more than 30 times refers to RetweetCount > 30
|
"en" is the language and refers to Lang = 'en'; most tweet in 'en' refers to Max(Count(text where Lang = 'en'))
|
"Argentina" and "Australia" are both Country; positive tweets refers to Sentiment > 0; Country posted more number of tweets refers to Country where Max(Count(TweetID))
|
tweet with the most likes refers to Max(Likes)
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
tw-685681052912873473' is the TweetID
|
How many reshared tweets are there in Texas?
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
seen by the most number of unique users refers to Max(Reach)
|
"en" is the language and refers to Lang = 'en'; most tweet in 'en' refers to Max(Count(text where Lang = 'en'))
|
seen by more than 1000 unique users refers to Reach > 1000
|
tweet with the most likes refers to Max(Likes)
|
tw-685681052912873473' is the TweetID
|
"Thursday" is the Weekday
|
over 1000 likes refers to Likes > 1000; 'Male' is the Gender of user
|
neutral sentiment refers to Sentiment = 0
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
What is the gender of the user who has posted the tweet that is seen by the most number of unique users?
|
seen by the most number of unique users refers to Max(Reach)
|
reshared refers to Isreshare = 'TRUE'; 'Buenos Aires' is the City
|
tw-685681052912873473' is the TweetID
|
male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
retweet more than 30 times refers to RetweetCount > 30
|
"Brazil" is the Country; language refers to Lang
|
"Argentina" and "Australia" are both Country; positive tweets refers to Sentiment > 0; Country posted more number of tweets refers to Country where Max(Count(TweetID))
|
"Thursday" is the Weekday
|
over 1000 likes refers to Likes > 1000; 'Male' is the Gender of user
|
seen by more than 1000 unique users refers to Reach > 1000
|
What is the text of the tweet that got the most `likes`?
|
got the most like refers to Max(Likes)
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
neutral sentiment refers to Sentiment = 0
|
"Thursday" is the Weekday
|
"Argentina" is the Country
|
unknown gender user refers to Gender = 'Unknown'
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
"en" is the language and refers to Lang = 'en'; most tweet in 'en' refers to Max(Count(text where Lang = 'en'))
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
Please list the top 3 cities with the most number of tweets posted in Canada.
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
"California" is the State; positive tweet refers to Sentiment > 0; percentage = Divide (Count(TweetID where Sentiment > 0), Count (TweetID)) * 100
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
unknown gender user refers to Gender = 'Unknown'
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
got the most like refers to Max(Likes)
|
"Thursday" is the Weekday
|
"tw-715909161071091712" is the TweetID
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
What gender of users posted the most tweets in `en`?
|
"en" is the language and refers to Lang = 'en'; most tweet in 'en' refers to Max(Count(text where Lang = 'en'))
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
country with the most positive sentiment tweet refers to Country where Max(Count(Sentiment > 0))
|
positive sentiment tweet refers to Sentiment > 0; neutral sentiment refers to Sentiment = 0; male user refers to Gender = 'Male'; difference = Subtract (Count (TweetID where Sentiment > 0), Count (TweetID where Sentiment = 0))
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
seen by more than 1000 unique users refers to Reach > 1000
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
Calculate the average number of male users who posted tweets in a week.
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
seen by more than 1000 unique users refers to Reach > 1000
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
reshared refers to Isreshare = 'TRUE'; 'Buenos Aires' is the City
|
got the most like refers to Max(Likes)
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
"Argentina" is the Country
|
country with the most positive sentiment tweet refers to Country where Max(Count(Sentiment > 0))
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
How many tweets are in English?
|
english is the language and refers to Lang = 'en'
|
seen by the most number of unique users refers to Max(Reach)
|
positive sentiment tweet refers to Sentiment > 0; neutral sentiment refers to Sentiment = 0; male user refers to Gender = 'Male'; difference = Subtract (Count (TweetID where Sentiment > 0), Count (TweetID where Sentiment = 0))
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
"en" is the language and refers to Lang = 'en'
|
neutral sentiment refers to Sentiment = 0
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
seen by more than 1000 unique users refers to Reach > 1000
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
What gender of users retweet more than 30 times?
|
retweet more than 30 times refers to RetweetCount > 30
|
seen by the most number of unique users refers to Max(Reach)
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
country with the most positive sentiment tweet refers to Country where Max(Count(Sentiment > 0))
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
got the most like refers to Max(Likes)
|
List down all the tweet text posted from Australia.
|
"Australia" is the Country
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
got the most like refers to Max(Likes)
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
country with the most positive sentiment tweet refers to Country where Max(Count(Sentiment > 0))
|
"California" is the State; positive tweet refers to Sentiment > 0; percentage = Divide (Count(TweetID where Sentiment > 0), Count (TweetID)) * 100
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
"Buenos Aires" is the City; male user refers to Gender = 'Male'
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
Tweets posted from which city has a higher number of average likes, Bangkok or Chiang Mai?
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
"en" is the language and refers to Lang = 'en'
|
neutral sentiment refers to Sentiment = 0
|
unknown gender user refers to Gender = 'Unknown'
|
"tw-682714583044243456" is the TweetID
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
retweet more than 30 times refers to RetweetCount > 30
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
tweet got 535 retweets refers to RetweetCount = 535
|
got the most like refers to Max(Likes)
|
State the country where the most positive sentiment tweets were posted.
|
country with the most positive sentiment tweet refers to Country where Max(Count(Sentiment > 0))
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
tweet got 535 retweets refers to RetweetCount = 535
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
retweet more than 30 times refers to RetweetCount > 30
|
"Australia" is the Country
|
"Thursday" is the Weekday
|
"French" is the language and refers to Lang = 'fr'; 'Australia' is the Country
|
What is the average number of likes for a tweet posted by a male user on Mondays?
|
male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))
|
"en" is the language and refers to Lang = 'en'
|
got the most like refers to Max(Likes)
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
"Buenos Aires" is the City; male user refers to Gender = 'Male'
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
unknown gender user refers to Gender = 'Unknown'
|
positive sentiment tweet refers to Sentiment > 0; neutral sentiment refers to Sentiment = 0; male user refers to Gender = 'Male'; difference = Subtract (Count (TweetID where Sentiment > 0), Count (TweetID where Sentiment = 0))
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
seen by the most number of unique users refers to Max(Reach)
|
"tw-682714583044243456" is the TweetID
|
How many unique users have seen tweet with text `Happy New Year to all those AWS instances of ours!`?
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
tw-685681052912873473' is the TweetID
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
seen by more than 1000 unique users refers to Reach > 1000
|
retweet more than 30 times refers to RetweetCount > 30
|
"French" is the language and refers to Lang = 'fr'; 'Australia' is the Country
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
unknown gender user refers to Gender = 'Unknown'
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))
|
Among all the tweets with a positive sentiment, what is the percentage of those posted by a male user?
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
tweet with the most likes refers to Max(Likes)
|
neutral sentiment refers to Sentiment = 0
|
"en" is the language and refers to Lang = 'en'
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
english is the language and refers to Lang = 'en'
|
"Australia" is the Country
|
seen by more than 1000 unique users refers to Reach > 1000
|
got the most like refers to Max(Likes)
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
"Argentina" is the Country
|
Tweets that were posted from Brazil are in what languague?
|
"Brazil" is the Country; language refers to Lang
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
"Buenos Aires" is the City; male user refers to Gender = 'Male'
|
"en" is the language and refers to Lang = 'en'
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
seen by the most number of unique users refers to Max(Reach)
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
tweet with the most likes refers to Max(Likes)
|
"tw-682714583044243456" is the TweetID
|
got the most like refers to Max(Likes)
|
Please list all the cities in Argentina.
|
"Argentina" is the Country
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
english is the language and refers to Lang = 'en'
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
"en" is the language and refers to Lang = 'en'
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
positive sentiment tweet refers to Sentiment > 0; neutral sentiment refers to Sentiment = 0; male user refers to Gender = 'Male'; difference = Subtract (Count (TweetID where Sentiment > 0), Count (TweetID where Sentiment = 0))
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
neutral sentiment refers to Sentiment = 0
|
What is the gender of the user who posted a tweet with ID tw-682714583044243456?
|
"tw-682714583044243456" is the TweetID
|
unknown gender user refers to Gender = 'Unknown'
|
seen by the most number of unique users refers to Max(Reach)
|
"Argentina" is the Country
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
neutral sentiment refers to Sentiment = 0
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
"California" is the State; positive tweet refers to Sentiment > 0; percentage = Divide (Count(TweetID where Sentiment > 0), Count (TweetID)) * 100
|
male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
From which country is the tweet with the most likes posted?
|
tweet with the most likes refers to Max(Likes)
|
positive sentiment tweet refers to Sentiment > 0; neutral sentiment refers to Sentiment = 0; male user refers to Gender = 'Male'; difference = Subtract (Count (TweetID where Sentiment > 0), Count (TweetID where Sentiment = 0))
|
tw-685681052912873473' is the TweetID
|
country with the most positive sentiment tweet refers to Country where Max(Count(Sentiment > 0))
|
"California" is the State; positive tweet refers to Sentiment > 0; percentage = Divide (Count(TweetID where Sentiment > 0), Count (TweetID)) * 100
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
got the most like refers to Max(Likes)
|
"Argentina" is the Country
|
"Brazil" is the Country; language refers to Lang
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
seen by more than 1000 unique users refers to Reach > 1000
|
What is the gender of the user who tweeted `tw-715909161071091712`?
|
"tw-715909161071091712" is the TweetID
|
"Thursday" is the Weekday
|
"Australia" is the Country
|
english is the language and refers to Lang = 'en'
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
"tw-682714583044243456" is the TweetID
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
"California" is the State; positive tweet refers to Sentiment > 0; percentage = Divide (Count(TweetID where Sentiment > 0), Count (TweetID)) * 100
|
"Argentina" and "Australia" are both Country; positive tweets refers to Sentiment > 0; Country posted more number of tweets refers to Country where Max(Count(TweetID))
|
From which city was the tweet with the most number of retweets posted?
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
got the most like refers to Max(Likes)
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
"Argentina" and "Australia" are both Country; positive tweets refers to Sentiment > 0; Country posted more number of tweets refers to Country where Max(Count(TweetID))
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
retweet more than 30 times refers to RetweetCount > 30
|
"Thursday" is the Weekday
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
"Sante Fe" is the State; "Argentina" is the Country; posted on 31st refers to Day = 31
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
How many female users reshared their tweets?
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
tw-685681052912873473' is the TweetID
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
"en" is the language and refers to Lang = 'en'; most tweet in 'en' refers to Max(Count(text where Lang = 'en'))
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
"California" is the State; positive tweet refers to Sentiment > 0; percentage = Divide (Count(TweetID where Sentiment > 0), Count (TweetID)) * 100
|
country with the most positive sentiment tweet refers to Country where Max(Count(Sentiment > 0))
|
retweet more than 30 times refers to RetweetCount > 30
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
Among all the tweets that are reshared, how many of them are posted by a user in Buenos Aires?
|
reshared refers to Isreshare = 'TRUE'; 'Buenos Aires' is the City
|
got the most like refers to Max(Likes)
|
positive sentiment tweet refers to Sentiment > 0; neutral sentiment refers to Sentiment = 0; male user refers to Gender = 'Male'; difference = Subtract (Count (TweetID where Sentiment > 0), Count (TweetID where Sentiment = 0))
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
"Buenos Aires" is the City; male user refers to Gender = 'Male'
|
unknown gender user refers to Gender = 'Unknown'
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
tweet got 535 retweets refers to RetweetCount = 535
|
"French" is the language and refers to Lang = 'fr'; 'Australia' is the Country
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
tw-685681052912873473' is the TweetID
|
What is the day of the week that tweet with ID tw-682712873332805633 was posted?
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
"tw-715909161071091712" is the TweetID
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
unknown gender user refers to Gender = 'Unknown'
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
"Argentina" is the Country
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
tweet got 535 retweets refers to RetweetCount = 535
|
Write down the tweet text posted from Rawang, Selangor, Malaysia.
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
"Bangkok" and "Chiang Mai" are both City; average number of like = Divide (Sum(Likes), Count(TweetID))
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
tw-685681052912873473' is the TweetID
|
"Canada" is the Country; city with most number of tweets refers to City where Max(Count(TweetID))
|
"Australia" is the Country
|
reshared refers to Isreshare = 'TRUE'; 'Buenos Aires' is the City
|
english is the language and refers to Lang = 'en'
|
How many more tweets with a positive sentiment than the tweets with a neutral sentiment were posted by male users?
|
positive sentiment tweet refers to Sentiment > 0; neutral sentiment refers to Sentiment = 0; male user refers to Gender = 'Male'; difference = Subtract (Count (TweetID where Sentiment > 0), Count (TweetID where Sentiment = 0))
|
seen by more than 1000 unique users refers to Reach > 1000
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
male user refers to Gender = 'Male'; 'Monday' is the Weekday; average number of likes = Divide (Sum(Likes), Count(TweetID))
|
"Argentina" and "Australia" are both Country; positive tweets refers to Sentiment > 0; Country posted more number of tweets refers to Country where Max(Count(TweetID))
|
"Argentina" is the Country
|
"French" is the language and refers to Lang = 'fr'; male user refers to Gender = 'Male'
|
retweet more than 30 times refers to RetweetCount > 30
|
"Brazil" is the Country; language refers to Lang
|
"en" is the language and refers to Lang = 'en'
|
got the most like refers to Max(Likes)
|
Among all the tweets that have a positive sentiment, how many of them are posted on Thursday?
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
retweet more than 30 times refers to RetweetCount > 30
|
"Argentina" and "Australia" are both Country; positive tweets refers to Sentiment > 0; Country posted more number of tweets refers to Country where Max(Count(TweetID))
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
"en" is the language and refers to Lang = 'en'
|
neutral sentiment refers to Sentiment = 0
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
"Argentina" is the Country
|
seen by more than 1000 unique users refers to Reach > 1000
|
"French" is the language and refers to Lang = 'fr'; 'Australia' is the Country
|
Among all the tweets with a positive sentiment, how many of them were posted by male users in Australia?
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
"Argentina" is the Country
|
positive sentiment refers to Sentiment > 0; posted on Thursday refers to Weekday = 'Thursday'
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
tweet with the most likes refers to Max(Likes)
|
got the most like refers to Max(Likes)
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
tw-685681052912873473' is the TweetID
|
Among the tweets posted from Santa Fe state in Argentina, how many of them were posted on 31st?
|
"Sante Fe" is the State; "Argentina" is the Country; posted on 31st refers to Day = 31
|
english is the language and refers to Lang = 'en'
|
positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; percentage = Divide (Count(TweetID where Gender = 'Male'), Count (TweetID)) * 100
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
got the most like refers to Max(Likes)
|
male user refers to Gender = 'Male'; 'Argentina' is the Country; most number of likes refers to Max(Likes)
|
over 1000 likes refers to Likes > 1000; 'Male' is the Gender of user
|
"Argentina" and "Australia" are both Country; positive tweets refers to Sentiment > 0; Country posted more number of tweets refers to Country where Max(Count(TweetID))
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
Please list the texts of all the tweets posted by male users from Buenos Aires.
|
"Buenos Aires" is the City; male user refers to Gender = 'Male'
|
got the most like refers to Max(Likes)
|
"en" is the language and refers to Lang = 'en'
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
english is the language and refers to Lang = 'en'
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
"Monday" is the Weekday; reshare refers to IsReshare = 'TRUE'
|
State the number of tweets from Michigan on Thursdays.
|
"Michigan" is the State; 'Thursday' is the Weekday; number of tweets refers to Count(TweetID)
|
tweet with positive sentiment refers to Sentiment > 0; male user refers to Gender = 'Male'; 'Australia' is the Country
|
reshared tweet refers to IsReshare = 'TRUE'; 'Texas' is the State
|
"Brazil" is the Country; language refers to Lang
|
"Happy New Year to all those AWS instances of ours!" is the text; seen unique users refers to Reach
|
"California" is the State; positive tweet refers to Sentiment > 0; percentage = Divide (Count(TweetID where Sentiment > 0), Count (TweetID)) * 100
|
female users refers to Gender = 'Female'; reshare refers to IsReshare = 'TRUE'
|
tweet with the most likes refers to Max(Likes)
|
"tw-682714583044243456" is the TweetID
|
tweet with most number of retweet post refers to Max(RetweetCount)
|
reshared refers to Isreshare = 'TRUE'; 'Buenos Aires' is the City
|
What is the average number of tweets posted by the users in a city in Argentina?
|
"Argentina" is the Country; average number of tweets in a city = Divide (Count(TweetID where Country = 'Argentina'), Count (City))
|
unknown gender user refers to Gender = 'Unknown'
|
over 1000 likes refers to Likes > 1000; 'Male' is the Gender of user
|
male user refers to Gender = 'Male'; average tweet in a week per user refers to Divide ( Divide(Count(TweetID), Count (UserID)), Divide(31, 7))
|
tweet got 535 retweets refers to RetweetCount = 535
|
"en" is the language and refers to Lang = 'en'
|
"Argentina" is the Country; post the most tweets refers to Max(Count(TweetID))
|
"Rawang" is the City; "Selangor" is the State; "Malaysia" is the Country
|
"tw-682712873332805633" is the TweetID; day of the week refers to Weekday
|
got the most like refers to Max(Likes)
|
"French" is the language and refers to Lang = 'fr'; 'Australia' is the Country
|
List the educationnum and response of customers within the age of 20 to 30 that has the highest number of inhabitants among the group.
|
age of 20 to 30 refers to age BETWEEN 20 AND 30; the highest number of inhabitants refers to MAX(INHABITANTS_K);
|
yearly income of geographic ID refers to GEOID where MULTIPLY(INHABITANTS_K, INCOME_K, 12); SEX = 'Female';
|
over 30 refers to age > 30; OCCUPATION = 'Machine-op-inspct';
|
OCCUPATION = 'Machine-op-inspct'; number of inhabitants refers to INHABITANTS_K;
|
average income per inhabitant above 3000 refers to INCOME_K > 3000; eighties refer to age BETWEEN 80 AND 89; DIVIDE(COUNT(INCOME_K > 3000 and age BETWEEN 80 AND 89), COUNT(INCOME_K > 3000 )) as percentage;
|
geographic identifier from 20 to 50 refers to GEOID BETWEEN 20 AND 50; number of inhabitants below 20 refers to INHABITANTS_K < 20;
|
female customers within the number of inhabitants range of 20 to 25 refer to SEX = 'Female' where INHABITANTS_K BETWEEN 20 AND 25;
|
widowed customers with an age below 50 refer to MARITAL_STATUS = 'Widowed' where age < 50;
|
RESPONSE = 'true'; teenagers are people aged between 13 and 19 years;
|
GEOID = 134;
|
widowed male customers ages from 40 to 60 refer to SEX = 'Male' where age BETWEEN 40 AND 60 and MARITAL_STATUS = 'Widowed'; income ranges from 3000 and above refers to INCOME_K BETWEEN 2000 AND 3000;
|
What is the total number of customers with an age below 30?
|
age below 30 refers to age < 30;
|
widowed male customers ages from 40 to 60 refer to SEX = 'Male' where age BETWEEN 40 AND 60 and MARITAL_STATUS = 'Widowed'; income ranges from 3000 and above refers to INCOME_K BETWEEN 2000 AND 3000;
|
widowed customers with an age below 50 refer to MARITAL_STATUS = 'Widowed' where age < 50;
|
age of 20 to 30 refers to age BETWEEN 20 AND 30; the highest number of inhabitants refers to MAX(INHABITANTS_K);
|
elderly customers refer to age > 65; DIVIDE(COUNT(ID where age > 65, MARITAL_STATUS = 'never married' and GEOID = 24), COUNT(ID where GEOID = 24)) as percentage;
|
female customers within the number of inhabitants below 30 refer to SEX = 'Female' where INHABITANTS_K < 30;
|
geographic identifier with an income that ranges from 2100 to 2500 refers to GEOID where INCOME_K BETWEEN 2100 AND 2500;
|
average income per inhabitant above 3000 refers to INCOME_K > 3000; eighties refer to age BETWEEN 80 AND 89; DIVIDE(COUNT(INCOME_K > 3000 and age BETWEEN 80 AND 89), COUNT(INCOME_K > 3000 )) as percentage;
|
widowed female customers refer to SEX = 'Female' where MARITAL_STATUS = 'Widowed'; level of education of 5 and below refers to EDUCATIONNUM ≤ 5;
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number of inhabitants refers to INHABITANTS_K; oldest female customer refers to SEX = 'Female' where MAX(age);
|
MARITAL_STATUS = 'Never-married';
|
List the income and number of inhabitants of customers with an age greater than the 80% of average age of all customers?
|
age greater than the 80% of average age refers to age > (AVG(age) * 0.8); income refers to INCOME_K; number of inhabitants refers to INHABITANTS_K;
|
RESPONSE = 'true'; teenagers are people aged between 13 and 19 years;
|
MARITAL_STATUS = 'Never-married';
|
OCCUPATION = 'Machine-op-inspct'; number of inhabitants refers to INHABITANTS_K;
|
age below 30 refers to age < 30;
|
reference ID refers to REFID;
|
female customers within the number of inhabitants below 30 refer to SEX = 'Female' where INHABITANTS_K < 30;
|
number of inhabitants refers to INHABITANTS_K; older than 50 years old refers to age < 50; MARITAL_STATUS = 'Divorced;
|
elderly customers refer to age > 65; DIVIDE(COUNT(ID where age > 65, MARITAL_STATUS = 'never married' and GEOID = 24), COUNT(ID where GEOID = 24)) as percentage;
|
SEX = 'Male';
|
elderly customers with an education level below 3 refer to age > 65 where EDUCATIONNUM < 3; geographic ID refers to GEOID;
|
Among the widowed female customers, give the income of those who has an level of education of 5 and below.
|
widowed female customers refer to SEX = 'Female' where MARITAL_STATUS = 'Widowed'; level of education of 5 and below refers to EDUCATIONNUM ≤ 5;
|
ages from 30 to 55 refer to age BETWEEN 30 AND 55; RESPONSE = 'true'; income refers to INCOME_K; education level refers to EDUCATIONNUM;
|
RESPONSE = 'true'; SEX = 'Male'; MARITAL_STATUS = 'Divorced';
|
age greater than the 80% of average age refers to age > (AVG(age) * 0.8); income refers to INCOME_K; number of inhabitants refers to INHABITANTS_K;
|
OCCUPATION = 'Machine-op-inspct'; number of inhabitants refers to INHABITANTS_K;
|
average income per inhabitant above 3000 refers to INCOME_K > 3000; eighties refer to age BETWEEN 80 AND 89; DIVIDE(COUNT(INCOME_K > 3000 and age BETWEEN 80 AND 89), COUNT(INCOME_K > 3000 )) as percentage;
|
place with the highest average income per month refers to GEOID where MAX(INCOME_K);
|
female customers within the number of inhabitants below 30 refer to SEX = 'Female' where INHABITANTS_K < 30;
|
the oldest customer refers to MAX(age); geographic identifier refers to GEOID; income refers to INCOME_K;
|
RESPONSE = 'true'; AVG(age);
|
male customers ages from 30 to 50 refer to SEX = 'Male' where age BETWEEN 30 AND 50; income ranges from 2000 to 2300 refers to INCOME_K BETWEEN 2000 AND 3000;
|
How many of the customers are male?
|
SEX = 'Male';
|
place with more than 20,000 and less than 30,000 inhabitants refers to GEOID where INHABITANTS_K BETWEEN 20 AND 30; OCCUPATION = 'Machine-op-inspct';
|
the average income per month refers to INCOME_K; yearly income of geographic ID refers to GEOID where MULTIPLY(INHABITANTS_K, INCOME_K, 12);
|
age below 30 refers to age < 30;
|
female customers ages from 30 to 55 years old refer to SEX = 'Female' where age BETWEEN 30 AND 55; income refers to INCOME_K;
|
RESPONSE = 'true'; AVG(age);
|
geographic identifier from 20 to 50 refers to GEOID BETWEEN 20 AND 50; number of inhabitants below 20 refers to INHABITANTS_K < 20;
|
elderly customers with an education level below 3 refer to age > 65 where EDUCATIONNUM < 3; geographic ID refers to GEOID;
|
widowed male customers ages from 40 to 60 refer to SEX = 'Male' where age BETWEEN 40 AND 60 and MARITAL_STATUS = 'Widowed'; income ranges from 3000 and above refers to INCOME_K BETWEEN 2000 AND 3000;
|
female customers with level of education of 3 and below refer to SEX = 'Female' where EDUCATIONNUM ≤ 3; income refers to INCOME_K;
|
age greater than the 80% of average age refers to age > (AVG(age) * 0.8); income refers to INCOME_K; number of inhabitants refers to INHABITANTS_K;
|
In widowed male customers ages from 40 to 60, how many of them has an income ranges from 3000 and above?
|
widowed male customers ages from 40 to 60 refer to SEX = 'Male' where age BETWEEN 40 AND 60 and MARITAL_STATUS = 'Widowed'; income ranges from 3000 and above refers to INCOME_K BETWEEN 2000 AND 3000;
|
number of inhabitants refers to INHABITANTS_K; older than 50 years old refers to age < 50; MARITAL_STATUS = 'Divorced;
|
education level of 11 refers to EDUCATIONNUM = 11; SEX = 'Female';
|
female customers within the number of inhabitants below 30 refer to SEX = 'Female' where INHABITANTS_K < 30;
|
OCCUPATION = 'Machine-op-inspct'; number of inhabitants refers to INHABITANTS_K;
|
ages from 30 to 55 refer to age BETWEEN 30 AND 55; RESPONSE = 'true'; income refers to INCOME_K; education level refers to EDUCATIONNUM;
|
geographic identifier refers to GEOID; OCCUPATION = 'Handlers-cleaners';
|
reference ID of under 10 refers to REFID < 10; got response refers to RESPONSE = 'true'; education status refers to EDUCATIONNUM;
|
DIVIDE(COUNT(INCOME_K ≥ 2500 where MARITAL_STATUS = 'Never-married'), COUNT(INCOME_K where MARITAL_STATUS = 'Never-married')) as percentage;
|
place with the highest average income per month refers to GEOID where MAX(INCOME_K);
|
male customers with an level of education of 4 to 6 refer to SEX = 'Male' where EDUCATIONNUM BETWEEN 4 AND 6; income refers to INCOME_K;
|
List down the geographic identifier with an income that ranges from 2100 to 2500.
|
geographic identifier with an income that ranges from 2100 to 2500 refers to GEOID where INCOME_K BETWEEN 2100 AND 2500;
|
MARITAL_STATUS = 'Never-married';
|
widowed customers with an age below 50 refer to MARITAL_STATUS = 'Widowed' where age < 50;
|
male customers with an level of education of 4 and below refer to SEX = 'Male' where EDUCATIONNUM < 4;
|
widowed female customers refer to SEX = 'Female' where MARITAL_STATUS = 'Widowed'; level of education of 5 and below refers to EDUCATIONNUM ≤ 5;
|
male customers with an level of education of 4 to 6 refer to SEX = 'Male' where EDUCATIONNUM BETWEEN 4 AND 6; income refers to INCOME_K;
|
female customers ages from 30 to 55 years old refer to SEX = 'Female' where age BETWEEN 30 AND 55; income refers to INCOME_K;
|
the most customers are from refers to GEOID where MAX(COUNT(ID)); number of inhabitants refers to INHABITANTS_K;
|
age greater than the 80% of average age refers to age > (AVG(age) * 0.8); income refers to INCOME_K; number of inhabitants refers to INHABITANTS_K;
|
elderly customers refer to age > 65; DIVIDE(COUNT(ID where age > 65, MARITAL_STATUS = 'never married' and GEOID = 24), COUNT(ID where GEOID = 24)) as percentage;
|
male customers ages from 30 to 50 refer to SEX = 'Male' where age BETWEEN 30 AND 50; income ranges from 2000 to 2300 refers to INCOME_K BETWEEN 2000 AND 3000;
|
Find out the yearly income of geographic ID when the customer is female and occupation as sales.
|
yearly income of geographic ID refers to GEOID where MULTIPLY(INHABITANTS_K, INCOME_K, 12); SEX = 'Female';
|
the most customers are from refers to GEOID where MAX(COUNT(ID)); number of inhabitants refers to INHABITANTS_K;
|
male customers with an level of education of 4 to 6 refer to SEX = 'Male' where EDUCATIONNUM BETWEEN 4 AND 6; income refers to INCOME_K;
|
number of inhabitants refers to INHABITANTS_K; oldest female customer refers to SEX = 'Female' where MAX(age);
|
female customers with level of education of 3 and below refer to SEX = 'Female' where EDUCATIONNUM ≤ 3; income refers to INCOME_K;
|
DIVIDE(COUNT(INCOME_K ≥ 2500 where MARITAL_STATUS = 'Never-married'), COUNT(INCOME_K where MARITAL_STATUS = 'Never-married')) as percentage;
|
female customers within the number of inhabitants below 30 refer to SEX = 'Female' where INHABITANTS_K < 30;
|
female customers ages from 50 to 60 refer to SEX = 'Female' where age BETWEEN 50 AND 60; number of inhabitants ranges from 19 to 24 refers to INHABITANTS_K BETWEEN 19 AND 24;
|
widowed female customers refer to SEX = 'Female' where MARITAL_STATUS = 'Widowed'; level of education of 5 and below refers to EDUCATIONNUM ≤ 5;
|
age greater than the 80% of average age refers to age > (AVG(age) * 0.8); income refers to INCOME_K; number of inhabitants refers to INHABITANTS_K;
|
geographic identifier with an income that ranges from 2100 to 2500 refers to GEOID where INCOME_K BETWEEN 2100 AND 2500;
|
What is the response and number of inhabitants of the oldest female customer?
|
number of inhabitants refers to INHABITANTS_K; oldest female customer refers to SEX = 'Female' where MAX(age);
|
over 30 refers to age > 30; OCCUPATION = 'Machine-op-inspct';
|
place with more than 20,000 and less than 30,000 inhabitants refers to GEOID where INHABITANTS_K BETWEEN 20 AND 30; OCCUPATION = 'Machine-op-inspct';
|
male customers with an level of education of 4 to 6 refer to SEX = 'Male' where EDUCATIONNUM BETWEEN 4 AND 6; income refers to INCOME_K;
|
place with the highest average income per month refers to GEOID where MAX(INCOME_K);
|
reference ID refers to REFID;
|
age of 20 to 30 refers to age BETWEEN 20 AND 30; the highest number of inhabitants refers to MAX(INHABITANTS_K);
|
age greater than the 80% of average age refers to age > (AVG(age) * 0.8); income refers to INCOME_K; number of inhabitants refers to INHABITANTS_K;
|
RESPONSE = 'true'; place with more than 30,000 inhabitants refers to GEOID where INHABITANTS_K > 30;
|
geographic identifier refers to GEOID; OCCUPATION = 'Handlers-cleaners';
|
SEX = 'Male';
|
Find and list the id and geographic ID of the elderly customers with an education level below 3.
|
elderly customers with an education level below 3 refer to age > 65 where EDUCATIONNUM < 3; geographic ID refers to GEOID;
|
age below 30 refers to age < 30;
|
GEOID = 134;
|
RESPONSE = 'true'; teenagers are people aged between 13 and 19 years;
|
education level of 11 refers to EDUCATIONNUM = 11; SEX = 'Female';
|
geographic identifier with an income that ranges from 2100 to 2500 refers to GEOID where INCOME_K BETWEEN 2100 AND 2500;
|
RESPONSE = 'true'; AVG(age);
|
male customers ages from 30 to 50 refer to SEX = 'Male' where age BETWEEN 30 AND 50; income ranges from 2000 to 2300 refers to INCOME_K BETWEEN 2000 AND 3000;
|
female customers ages from 30 to 55 years old refer to SEX = 'Female' where age BETWEEN 30 AND 55; income refers to INCOME_K;
|
customer ages 62 with an level of education of 7 refer age = 62 where EDUCATIONNUM = 7;
|
number of inhabitants refers to INHABITANTS_K; oldest female customer refers to SEX = 'Female' where MAX(age);
|
Of the first 60,000 customers who sent a true response to the incentive mailing sent by the marketing department, how many of them are divorced males?
|
RESPONSE = 'true'; SEX = 'Male'; MARITAL_STATUS = 'Divorced';
|
number of inhabitants refers to INHABITANTS_K; oldest female customer refers to SEX = 'Female' where MAX(age);
|
RESPONSE = 'true'; AVG(age);
|
OCCUPATION = 'Machine-op-inspct'; number of inhabitants refers to INHABITANTS_K;
|
RESPONSE = 'true'; teenagers are people aged between 13 and 19 years;
|
male customers ages from 30 to 50 refer to SEX = 'Male' where age BETWEEN 30 AND 50; income ranges from 2000 to 2300 refers to INCOME_K BETWEEN 2000 AND 3000;
|
RESPONSE = 'true';
|
customer ages 62 with an level of education of 7 refer age = 62 where EDUCATIONNUM = 7;
|
female customers with level of education of 3 and below refer to SEX = 'Female' where EDUCATIONNUM ≤ 3; income refers to INCOME_K;
|
elderly customers with an education level below 3 refer to age > 65 where EDUCATIONNUM < 3; geographic ID refers to GEOID;
|
male customers with an level of education of 4 and below refer to SEX = 'Male' where EDUCATIONNUM < 4;
|
Of the first 60,000 customers' responses to the incentive mailing sent by the marketing department, how many of them are considered a true response?
|
RESPONSE = 'true';
|
average income per inhabitant above 3000 refers to INCOME_K > 3000; eighties refer to age BETWEEN 80 AND 89; DIVIDE(COUNT(INCOME_K > 3000 and age BETWEEN 80 AND 89), COUNT(INCOME_K > 3000 )) as percentage;
|
RESPONSE = 'true'; teenagers are people aged between 13 and 19 years;
|
geographic identifier with an income that ranges from 2100 to 2500 refers to GEOID where INCOME_K BETWEEN 2100 AND 2500;
|
age greater than the 80% of average age refers to age > (AVG(age) * 0.8); income refers to INCOME_K; number of inhabitants refers to INHABITANTS_K;
|
the average income per month refers to INCOME_K; yearly income of geographic ID refers to GEOID where MULTIPLY(INHABITANTS_K, INCOME_K, 12);
|
male customers ages from 30 to 50 refer to SEX = 'Male' where age BETWEEN 30 AND 50; income ranges from 2000 to 2300 refers to INCOME_K BETWEEN 2000 AND 3000;
|
RESPONSE = 'true'; place with more than 30,000 inhabitants refers to GEOID where INHABITANTS_K > 30;
|
DIVIDE(COUNT(INCOME_K ≥ 2500 where MARITAL_STATUS = 'Never-married'), COUNT(INCOME_K where MARITAL_STATUS = 'Never-married')) as percentage;
|
place with more than 20,000 and less than 30,000 inhabitants refers to GEOID where INHABITANTS_K BETWEEN 20 AND 30; OCCUPATION = 'Machine-op-inspct';
|
SEX = 'Male';
|
List the occupation and income of male customers with an level of education of 4 to 6.
|
male customers with an level of education of 4 to 6 refer to SEX = 'Male' where EDUCATIONNUM BETWEEN 4 AND 6; income refers to INCOME_K;
|
MARITAL_STATUS = 'Never-married';
|
male customers with an level of education of 4 and below refer to SEX = 'Male' where EDUCATIONNUM < 4;
|
RESPONSE = 'true'; place with more than 30,000 inhabitants refers to GEOID where INHABITANTS_K > 30;
|
SEX = 'Male';
|
geographic identifier from 20 to 50 refers to GEOID BETWEEN 20 AND 50; number of inhabitants below 20 refers to INHABITANTS_K < 20;
|
number of inhabitants refers to INHABITANTS_K; oldest female customer refers to SEX = 'Female' where MAX(age);
|
age of 20 to 30 refers to age BETWEEN 20 AND 30; the highest number of inhabitants refers to MAX(INHABITANTS_K);
|
OCCUPATION = 'Other-service'; inhabitants are more than 20000 refer to INHABITANTS_K > 20;
|
age greater than the 80% of average age refers to age > (AVG(age) * 0.8); income refers to INCOME_K; number of inhabitants refers to INHABITANTS_K;
|
the most customers are from refers to GEOID where MAX(COUNT(ID)); number of inhabitants refers to INHABITANTS_K;
|
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