How do I approach Data Manipulation (SQL/Python) interview questions?

Data Manipulation (SQL/Python) questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master data manipulation (sql/python) interviews.

What difficulty level is this interview question?

This is a easy difficulty Data Manipulation (SQL/Python) question, commonly asked during Onsite rounds at Capital One.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Capital One during technical interviews.

Clean and Merge Housing Data

Last updated: May 7, 2026

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.