Choose Effective Graphs for Data Exploration

Q: Choose Effective Graphs for Data Exploration

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.

Q: How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

Question

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

What is a pie chart?
When should you use and not use a pie chart?
What types of graphs are most useful during EDA, and why?
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.

Choose Effective Graphs for Data Exploration

Exploratory Data Visualization: Choosing the Right Charts

Context

Questions

Solution

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Choose Effective Graphs for Data Exploration

Overview

Exploratory Data Visualization: Choosing the Right Charts

Context

Questions

Solution

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