Practice Data Visualization in Math

Use these practice problems to test your method after reviewing the concept explanation and worked examples.

Quick Recap

Data visualization is the use of graphs, charts, and other visual representations to communicate patterns, trends, and relationships in data.

A picture is worth a thousand numbers. Graphs reveal patterns we'd miss in tables.

Example 1

easy
For the data types listed, choose the most appropriate visualization: (a) one quantitative variable distribution, (b) relationship between two quantitative variables, (c) comparing a quantitative variable across categories.

Example 2

medium
A pie chart shows 20 slices representing 20 countries' market shares. Explain why this is a poor choice and suggest a better visualization.

Example 3

easy
List three features that every well-made graph should have, and explain why each is important.

Example 4

hard
A time series of monthly sales shows both a long-term trend and seasonal fluctuations. Design the ideal visualization strategy, including which chart type to use and how to highlight both patterns.
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