Clean and Merge Housing Data

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Quick Overview

This question evaluates data cleaning, type coercion, robust merge operations, and missing-data imputation skills within tabular datasets, emphasizing pandas-based DataFrame manipulation and integration of auxiliary zipcode features.

Clean and Merge Housing Data

Company: Capital One

Role: Data Scientist

Category: Data Manipulation (SQL/Python)

Difficulty: easy

Interview Round: Onsite

Overview: This question evaluates data cleaning, type coercion, robust merge operations, and missing-data imputation skills within tabular datasets, emphasizing pandas-based DataFrame manipulation and integration of auxiliary zipcode features.

Read the full Capital One Data Scientist interview experience this question came from

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Capital One
Feb 28, 2026
easyData ScientistOnsiteData Manipulation (SQL/Python)
5
0
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