Calculate DAU/MAU ratio per user

Last updated: September 22, 2025

Quick Overview

Write a query to compute DAU/MAU ratio grouped by user, handling edge cases like nulls and duplicates.

Redfin
Data Manipulation (SQL/Python)
Data Scientist
Redfin
September 22, 2025
Data Scientist
Technical Screen
Data Manipulation (SQL/Python)
Easy

282

4

1,848 solved


Write a query to compute DAU/MAU ratio grouped by user, handling edge cases like nulls and duplicates.

This question from Redfin's Technical Screen tests practical data skills. The interviewer wants to see clean, efficient queries that handle edge cases like NULLs, duplicates, and large datasets.

What the Interviewer Expects
  • Write syntactically correct SQL with proper JOIN and WHERE clauses
  • Use GROUP BY and aggregate functions appropriately
  • Handle NULL values correctly in your queries
  • Explain the query execution plan at a high level
Key Topics to Cover
JOIN types and when to use each
Index optimization and query performance
Common Table Expressions (CTEs)
Pandas vectorized operations and groupby
How to Approach This
  1. Clarify the schema and expected output format before writing queries.
  2. Use CTEs (WITH clauses) to break complex queries into readable steps.
  3. Consider window functions (ROW_NUMBER, RANK, LAG, LEAD) for ranking and sequential analysis.
  4. Watch for NULLs, duplicates, and edge cases in JOINs and GROUP BY.
  5. For pandas, prefer vectorized operations over row-by-row iteration.
Possible Follow-up Questions
  • Can you rewrite this without using subqueries?
  • What would you do if this query needs to run every 5 minutes?
  • How would you handle slowly changing dimensions in this scenario?
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