Load and prepare JSON for modeling

Q: How do I practice SQL interview questions?

PracHub provides an interactive SQL console where you can write and test queries against real database schemas. Get instant feedback and compare your solution with the expected output.

Q: What difficulty level is this coding question?

This is a medium difficulty Data Manipulation (SQL/Python) question, commonly asked during Technical Screen rounds at Reddit.

Q: What role is this question designed for?

This question is commonly asked for Machine Learning Engineer candidates at Reddit during technical interviews.

Question

Using Python in a Jupyter notebook, load a JSON dataset with fields:
(
1) hours spent reading A posts (float),
(
2) hours spent reading B posts (float),
(
3) hours spent reading C posts (float),
(
4) current post category (A/B/C), and
(
5) click (binary label). Convert it into a pandas DataFrame suitable for modeling: enforce correct data types, encode the categorical post category, validate the schema, and run checks confirming no missing values or class imbalance. Provide code that performs the load, transformation, and validation.

PracHub · Accepted Answer

This question evaluates competency in data preprocessing and validation for machine learning—enforcing correct data types, encoding categorical variables, detecting missing values, and assessing class balance.

Quick Overview

Load and prepare JSON for modeling