App Store Download Ranking
Rank apps by downloads within each category for March 15, 2026. Return category, rank, app_id, app_name, and downloads_today. Use RANK() so that ties share the same rank. Only show the top 5 apps per category.
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Rank apps by downloads within each category for March 15, 2026. Return category, rank, app_id, app_name, and downloads_today. Use RANK() so that ties share the same rank. Only show the top 5 apps per category.
Analyze AirPods purchase patterns by region for Q1 2026 (Jan-Mar). For each region, calculate: total_units, total_revenue, avg_price, and the model mix as pct_airpods_pro, pct_airpods_max, and pct_airpods_3.
Create a monthly cohort analysis for Apple Music. For users who signed up in January 2026, calculate total listening hours in each month: month 0 (signup month), month 1, and month 2. Return signup_month, user_count, m0_hours, m1_hours, m2_hours.
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purchase_id (BIGINT) · customer_id (BIGINT) · model (VARCHAR) · region (VARCHAR) · purchase_date (DATE) · price_usd (DECIMAL)
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Practice Apple SQL free188 SQL practice questions. 23 companies. Free access to every problem.