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Choose Effective Graphs for Data Exploration

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a data scientist's competency in exploratory data visualization, specifically chart selection and interpretation for categorical and numerical variables to assess distributions, composition, and relationships within the Analytics & Experimentation domain.

  • medium
  • Amazon
  • Analytics & Experimentation
  • Data Scientist

Choose Effective Graphs for Data Exploration

Company: Amazon

Role: Data Scientist

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Onsite

##### Scenario Choosing appropriate visualizations during exploratory data analysis ##### Question What is a pie chart? When should you use and not use a pie chart? What types of graphs are most useful during exploratory data analysis and why? How would you use a graph to explore the relationship between two variables? ##### Hints Think about categorical vs numerical data, composition vs comparison charts, and scatterplots or heat-maps for relationships.

Quick Answer: This question evaluates a data scientist's competency in exploratory data visualization, specifically chart selection and interpretation for categorical and numerical variables to assess distributions, composition, and relationships within the Analytics & Experimentation domain.

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Amazon logo
Amazon
Jul 12, 2025, 6:59 PM
Data Scientist
Onsite
Analytics & Experimentation
10
0

Exploratory Data Visualization: Choosing the Right Charts

Context

You are performing exploratory data analysis (EDA) on a dataset with a mix of categorical and numerical variables. Your goal is to understand distributions, composition, and relationships to guide analysis and modeling decisions.

Questions

  1. What is a pie chart?
  2. When should you use and not use a pie chart?
  3. What types of graphs are most useful during EDA, and why?
  4. How would you use a graph to explore the relationship between two variables?

Hint: Consider categorical vs. numerical data, composition vs. comparison charts, and scatterplots or heatmaps for relationships.

Solution

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