Colors
Data Visualization Palette
Used by developers, writers, and creators worldwide.
A data visualization palette generator builds a categorical color set where every series is easy to tell apart, even when many appear in the same chart. It spaces hues using the golden angle so colors spread evenly around the wheel rather than clustering, then varies saturation and lightness slightly between neighbours so adjacent slices, lines, or bars never blur together. Choose how many series you need and it returns exactly that many well-separated colors. This solves the common problem of a chart where two categories look almost identical, which forces viewers back to the legend or causes outright misreading. Data analysts, dashboard builders, and report designers use it to color pie slices, stacked bars, multi-line charts, and map regions. Each value is a paste-ready hex code. For maximum clarity, pair the palette with direct labels and confirm the colors hold up under a color-blindness simulator before publishing.
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How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Choose how many data series you need.
- Click Generate to build the categorical palette.
- Assign each color to a series or category.
- Add direct labels alongside the colors.
Use Cases
- •Coloring series in a multi-line or bar chart
- •Assigning distinct colors to pie or donut slices
- •Filling categorical regions on a map
- •Building a legend with clearly separable swatches
- •Seeding a chart theme for a dashboard
Tips
- →Keep series to ten or fewer for clarity.
- →Label series directly instead of relying on color.
- →Test the palette with a color-blindness simulator.
- →Reuse the same color for a category across charts.
FAQ
why use the golden angle for hues
Spacing hues by the golden angle spreads them evenly around the color wheel no matter how many you request, so successive series land far apart and stay easy to distinguish instead of bunching into similar shades.
how many series can it handle
It supports three to ten categories. Beyond about ten, even well-spaced colors start to look alike, so for larger data consider grouping categories or using direct labels instead of more colors.
is the palette color-blind safe
The even hue spacing helps, but it is not guaranteed safe for every color-vision type. Test with a simulator, and always add direct labels or patterns so categories can be read without relying on color.
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