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An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

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Use Color Meaningfully

Start with Choosing the Proper Palette

What are the palette types, and how to choose the right one?

8 min readMar 10, 2022

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Color is a powerful tool when visualizing data but used excessively or incorrectly, it will ruin your work and cause confusion in your audience. Therefore, we should make color choices thoughtfully and keep in mind how human perception works.

In this article, I’ll focus on palette types and how to select the right one.

Different palette types

We have three types of palettes — categorical (also known as qualitative), sequential, and diverging.

In this classification, colors aren’t the determining aspect, and different palette types can share some colors. What defines each palette is the relation between those colors. In the categorical palette, colors should be primarily well distinguishable from one another, and they should not suggest any order. On the other hand, in the sequential and diverging palettes, we should order colors — either based on brightness, luminance, or saturation*.

*If those terms are new to you, check this brilliant and accessible introduction to color theory [1].

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Weronika Gawarska-Tywonek
Weronika Gawarska-Tywonek

Written by Weronika Gawarska-Tywonek

Data Visualization Designer | Trainer | Sociologist. Check my redesigned charts in weekly Incremental Improvements articles.

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