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Foundations Track · Medium · 25 min

02 Medium Twitter Tweets Rolling Averages

-- tweets rolling average -- WITH tweet_posts AS ( SELECT user_id, tweet_date, COUNT(tweet_id) AS tweet_count FROM tweets GROUP BY user_id, tweet_date ) SELE...

Foundations Track
Medium
25 min
aggregation

Company labels are directional practice context, not official interview guidance.

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Objective

Practice aggregation through a Twitter-tagged business scenario.

Approach

Use this track to lock in clean query structure, basic filtering logic, and confidence with grouped output.

Company context

Company labels are directional practice context, not official interview guidance.

Prereq: query basics
Prereq: filtering

-- tweets rolling average -- WITH tweet_posts AS ( SELECT user_id, tweet_date, COUNT(tweet_id) AS tweet_count FROM tweets GROUP BY user_id, tweet_date ) SELECT user_id, tweet_date, ROUND( AVG(tweet_count) OVER (PARTITION BY user_id ORDER BY tweet_date ROWS BETWEEN 2 PRECEDING AND CURRENT ROW), 2 ) AS rolling_avg_3days FROM tweet_posts;

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