Challenge: Returning Players Analysis
Difficulty: Medium
Data:
A table named Activity stores information about player activity in a game:
player_id (int): Unique identifier for a player.
device_id (int): Identifier for the device used by the player (may not be unique).
event_date (date): Date the player logged in and played games.
games_played (int): Number of games played during the login session (may be 0).
Objective:
Calculate the percentage (rounded to 2 decimal places) of players who logged in on consecutive days, starting from their first login date. In other words, find the proportion of players with activity records for two consecutive dates.
Output:
A table with a single column:
fraction (float): Percentage of players with consecutive login days, rounded to 2 decimal places.
Explanation:
We need to identify players who have entries in the Activity table for both their first login date and the day after their first login date.
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