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Choropleth map

As explained in Everyday Data Visualization

A map visualization that encodes data values for geographic regions using varying colors or shades.

A choropleth map fills geographic regions—such as counties, states, or countries—with colors or shades that encode data values. It is popular and easy to make, but color can accidentally make land area look more important than the people or events being measured. section 6.3.1

The election-map trap

A county map colored only by the 2016 US presidential election winner creates a sea of red, suggesting overwhelming support. Coloring counties by the winning candidate’s vote percentage adds detail, but still leaves large rural areas visually dominant. Population, not acreage, determined the popular vote. section 6.3.1

Use a choropleth carefully:

  • Choose it when the data genuinely concerns land, such as farmland, public parks, or residential use. section 6.3.1

How Everyday Data Visualization covers it

How deep it goes
Defines the technique and demonstrates its land-area distortion, but stops short of implementation details or a complete alternative-method comparison.
Examples
Uses 2016 US presidential election county maps, land-use categories, circle maps, density maps, and hexbin maps.
What you can do after
Evaluate whether geographic area will distort interpretation before choosing a choropleth for data visualization.
How it connects
Contrasts choropleths with density maps, hexbin maps, and circle-based encodings for location and quantity.

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This explainer was generated by Manning's knowledge graph from the text of Everyday Data Visualization. The section links point to the parts of the book it draws on.