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Answer the following questions with SQL statements (with expected outputs) and assumptions made for queries as follows: Generate a list of paired users who are
Answer the following questions with SQL statements (with expected outputs) and assumptions made for queries as follows:
- Generate a list of paired users who are following each other mutually. For example, A is following B and B is following A (in other words, A is following B and A is also followed by B)
- Generate a list of First Positions with their Activity Date, User Name & Personal Best Detail.
- Generate a list of users who have received > 5 Kudos in average for each activity
- Compute monthly active social networks, i.e., for each user, list out his/her followers, who have given him/her >=5 Kudos for each months activities
- Conduct social comparison analysis, i.e., for each user, list out his or her weekly average activity distance and weekly average activity duration. Additionally, compute the weekly averages for his social networks (i.e., no of followers & followings)
The Database Design is shown below:
Challenge PK Challengels (OM) ChallengeName has followship (OM) User joins (1,M) PK UserID Club UserName (1,M) 10.M) -joins PK ClubID (OM) Gender ClubName (1,1) (1,M) gives Age (1,1) (1.1) gives Email (1,M) (0,1) owns (0,1) has Comment performs Kudo (0,M) PK CommentID UserID (OM) WeeklyLeaderboard PK CommentContent (0.M) ActivityID PK Activity LeaderboardID FK UserID (0,1) ActivityID FK ActivityID FK ClubID (1,1) ActivityDate LeaderboardDate on (0.1) (1,1) on ActivityStartTime FK FirstPos_UserID ActivityDuration FK SecondPos_UserID PersonalBest Activity Distance FK Thirdpos_UserID PK PersonalbestID ActivityPace FK FourthPos_UserID (0,1) (1,1) FK ActivityID Activity Name FK FifthPos_UserID PersonalBest Type Activity Type FK SixthPos_UserID PersonalBestDetail FK SeventhPos UserID ActivitySport Description FK EighthPos_UserID PrivacyControls FK NinthPos_UserID FK UserID FK TenthPos_UserID Challenge PK Challengels (OM) ChallengeName has followship (OM) User joins (1,M) PK UserID Club UserName (1,M) 10.M) -joins PK ClubID (OM) Gender ClubName (1,1) (1,M) gives Age (1,1) (1.1) gives Email (1,M) (0,1) owns (0,1) has Comment performs Kudo (0,M) PK CommentID UserID (OM) WeeklyLeaderboard PK CommentContent (0.M) ActivityID PK Activity LeaderboardID FK UserID (0,1) ActivityID FK ActivityID FK ClubID (1,1) ActivityDate LeaderboardDate on (0.1) (1,1) on ActivityStartTime FK FirstPos_UserID ActivityDuration FK SecondPos_UserID PersonalBest Activity Distance FK Thirdpos_UserID PK PersonalbestID ActivityPace FK FourthPos_UserID (0,1) (1,1) FK ActivityID Activity Name FK FifthPos_UserID PersonalBest Type Activity Type FK SixthPos_UserID PersonalBestDetail FK SeventhPos UserID ActivitySport Description FK EighthPos_UserID PrivacyControls FK NinthPos_UserID FK UserID FK TenthPos_UserIDStep by Step Solution
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