Data Viz: Sequential Teal
Sequential color palette for quantitative data visualization using the teal-to-navy range. Designed with perceptual uniformity in mind: each step reads as a clear increase in value from the lightest end to the darkest. The teal-to-navy range works well for both light-background and dark-background chart contexts, and the hue range is distinguishable by most types of color vision deficiency. Suitable for choropleth maps, heatmaps, and single-variable quantitative charts.
Sequential teal palette for quantitative data visualization. Each step is a clear perceptual increase in value. Works on light and dark chart backgrounds. Distinguishable under common color vision deficiency types.
A perceptually sequential teal palette for data visualization — from near-white through medium teal to deep navy, designed for quantitative color encoding.
Palette
Each swatch links back to its individual archive detail page.
Collections should do more than group swatches. Each one should read like a usable design direction with a clear emotional lane and a real application surface.
This detail route is the missing layer between a generic palette gallery and a convincing design reference. It gives the set a specific point of view.
Ready-made tokens for Data Viz: Sequential Teal
Palette packs extend these colors into Figma tokens, CSS variables, Tailwind config, and Procreate swatches — structured to drop directly into your project.
From one collection to a full pack
This collection proves the taste and color direction. The related packs add more collections, token exports, and usage guidance so the palette can move from reference to implementation.
| Layer | What you have here | What the related packs add |
|---|---|---|
| Scope | One curated five-color editorial direction. | More collections, broader token coverage, and a fuller working set. |
| Output | Visual palette, copyable CSS preview, and per-color archive pages. | Downloadable CSS, JSON, Tailwind, and pack-specific asset bundles. |
| Use case | Direction finding, inspiration, and public proof. | Real project handoff, implementation, and reusable product assets. |
