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Task 3 of shiptivitas completed #5

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Task 3 of shiptivitas completed #5

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18 changes: 11 additions & 7 deletions answer.sql
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Original file line number Diff line number Diff line change
Expand Up @@ -2,12 +2,16 @@

-- PART 1: Create a SQL query that maps out the daily average users before and after the feature change



SELECT
count(distinct user_id) as daily_users,
DATE(login_timestamp, 'unixepoch') as login_date,
strftime('%j', DATE(login_timestamp, 'unixepoch')) AS day_of_year
FROM login_history
GROUP BY day_of_year

-- PART 2: Create a SQL query that indicates the number of status changes by card





SELECT cardId,
count(id) as n_status_change
FROM card_change_history
WHERE oldStatus <> newStatus
GROUP BY cardId;