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  5. SQL Window Functions

SQL Window Functions Practice Questions

A window function computes a value across a set of rows related to the current row without collapsing those rows into one, which is the difference between SUM(amount) OVER (PARTITION BY user_id) and a GROUP BY. That is what makes running totals, per-customer rankings and month-over-month deltas possible in a single pass over the table. Every question below runs against a real database in the browser, so you write the OVER clause and see the result set immediately.

What you will practice

  • •Choose correctly between ROW_NUMBER, RANK and DENSE_RANK when ties matter
  • •Frame a window with PARTITION BY and ORDER BY to build running totals and moving averages
  • •Compare a row to its neighbours using LAG and LEAD for growth and churn calculations
  • •Bucket rows into quantiles with NTILE for cohort and percentile analysis
  • •Filter on a window result by wrapping the query in a CTE or subquery, since WHERE runs first

15 of 32 questions in this topic

  • Number Tracks Within Albumsintermediate
  • Rank Artists by Album Countintermediate
  • Dense Rank Tracks by Priceintermediate
  • Compare Invoice Dates with LEAD/LAGintermediate
  • Running Total of Invoice Amountsintermediate
  • Segment Customers into Quartilesintermediate
  • Revenue Share by Genre with Window Functionsadvanced
  • Month-over-Month Revenue Growth Rateadvanced
  • Most Popular Genre per Countryadvanced
  • Customer Lifetime Value with Tier Classificationadvanced
  • Support Rep Sales Performance Comparisonadvanced
  • Cumulative Revenue by Country Over Timeadvanced
  • Customer Genre Diversity Scoreadvanced
  • Customer Purchase Gap Analysisadvanced
  • Year-over-Year Genre Revenue Changeadvanced