Calculate cumulative sum per product

Last updated: October 14, 2025

Quick Overview

Write a query to compute cumulative sum grouped by user, handling edge cases like nulls and duplicates.

HRT
Data Manipulation (SQL/Python)
Data Scientist
HRT
October 14, 2025
Data Scientist
Take-home Project
Data Manipulation (SQL/Python)
Easy

9

7

4,890 solved


Write a query to compute cumulative sum grouped by user, handling edge cases like nulls and duplicates.

Data manipulation questions at HRT test your ability to work with real-world datasets. This Take-home Project question evaluates your SQL proficiency, understanding of data modeling, and ability to derive insights from raw data.

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
Subqueries and correlated subqueries
Aggregate functions and GROUP BY
Pandas vectorized operations and groupby
Common Table Expressions (CTEs)
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
  • How would you handle this if the data was spread across multiple databases?
  • How would you handle slowly changing dimensions in this scenario?
  • How would you optimize this query for a table with 100 million rows?
  • What indexes would you create to support this query?
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Solution Pattern

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