Charts
3 issues tagged with this topic.
Color in Data Visualization: Principles for Charts, Dashboards, and Infographics
Data visualization color is a distinct discipline from brand or UI color. The goal is not aesthetic harmony but accurate encoding — color must communicate data structure, not override it. This issue covers the four semantic color roles in dataviz, perceptual uniformity requirements, color blindness constraints, and the specific rules that distinguish good chart color from misleading chart color.
Color in Data Visualization: Choosing Palettes That Inform Without Misleading
Data visualization is one of the highest-stakes environments for color decision-making. The wrong palette can make a chart misleading, inaccessible to colorblind viewers, or simply unreadable when printed in grayscale. This issue covers the three main palette types (sequential, diverging, categorical), how to select and validate them, and the most common mistakes that turn an informative chart into a confusing one.
Choosing Colors for Charts and Data Visualizations
The specific rules for selecting and ordering chart colors — categorical, sequential, and diverging palettes — and why standard brand colors often fail in data contexts.