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The light can come from the Sun, fire or a lamp sending waves of different lengths. The combination of waves that hit the cones form in our brain the perception of color.

The second type is sensitive to middle wavelengths (starting at orange, peaking at green, and declining at blue). The third type is sensitive to short wavelengths (starting at green and peaking at blue). There are three common types: protanopia (red-blind), deuteranopia (green-blind), and tritanopia (blue-blind). About 8% of men and 0.5% of women are colorblind, so making your chart color blind safe is a reasonable thing to do.

Most of the issues for colorblind people come from the prevalence of red-and-green combinations as a pair of opposites in design. The first rule of making a palette for colorblind – avoid combining red and green. So if you’re aiming to create a color blind-friendly palette try to use only two basic hues: blue and red (orange and yellow will also fit).

All the variations can be made by using different saturation or lightness of the basic color. As you can see the palette worked for all types of color blindness, but you should always be aware that the variation of color-blind colors can vary significantly from person to person, so it’s always important to double-check. But remember, if the palette is grayscale one should use other tools to distinguish chart elements.

You can access it under View > Proof Setup > Color-Blindness - Protanopia-type or Deuteranopia-type. Typically, it’s better to use direct labels instead of a legend – it saves the time and attention of a reader. Another advantage of direct labels is its ability to fix the usage of palettes that are not color blind friendly.

Our recommendations are based on how easily one or the other chart can work without any color coding. Check this resource page and learn how to design the best dot plots that will impress your audience. X- and Y- axes, size, and different icons provide 4 dimensions already which is easily enough for most of the visualization tasks.

Heatmaps are heavily dependent on color, so the only way to make it safe for colorblind readers is to use one hue or grayscale palette. Icon array is a rare case of a part-to-whole chart that doesn’t depend on colored areas or sectors.

Surely, a treemap can be made also with a mono hue palette or just with the help of stroke borders, but the lack of color will weaken its visual strength, especially if a complex hierarchical structure should be presented. The simplest and most flexible temporal chart that can be modified in various ways to make it readable for a colorblind audience.

In the case of multiple categories, the line width can be modified as well as various types of dashed strokes. Discover even more pro design tips on our dedicated line chart resource page and advance your data visualization with Datylon.

A one-dimensional heatmap can quickly become a bad choice if multiple colors are used. ➡️ If you want to apply all these tips and make your data visualizations truly inclusive for different types of audiences, you need the full freedom of design to do so.

The best charts for colorblind viewers - discover the right color palette for your data visualization
The best charts for colorblind viewers - discover the right color palette for your data visualization
The three types of cones responsible for color perception.
The three types of cones responsible for color perception.
Colorblindness depends on what type of cones don't work. The three common types are protanopia, deuteranopia, and trianopia
Colorblindness depends on what type of cones don't work. The three common types are protanopia, deuteranopia, and trianopia
For all of the types of color blindness, there is a pair of colors that can be distinguished – red and blue – these are color blind safe colors.
For all of the types of color blindness, there is a pair of colors that can be distinguished – red and blue – these are color blind safe colors.
Helpful internal tool in Adobe Illustrator that can help you to check if your visuals are color blind friendly.
Helpful internal tool in Adobe Illustrator that can help you to check if your visuals are color blind friendly.
Make your charts color blind friendly: use shapes and icons as an addition or alternative to color-coding.
Make your charts color blind friendly: use shapes and icons as an addition or alternative to color-coding.
Make your charts color blind friendly: use direct labels instead of a legend.
Make your charts color blind friendly: use direct labels instead of a legend.
Make your charts color blind friendly: dashed lines and lines with various stroke thicknesses are a very helpful alternative to coloring for line charts.
Make your charts color blind friendly: dashed lines and lines with various stroke thicknesses are a very helpful alternative to coloring for line charts.
Make your charts color blind friendly: add strokes around chart elements to distinguish one element from the other.
Make your charts color blind friendly: add strokes around chart elements to distinguish one element from the other.
Make your charts color blind friendly: try to use a single hue palette or a red-yellow-blue palette if the usage of color is inevitable.
Make your charts color blind friendly: try to use a single hue palette or a red-yellow-blue palette if the usage of color is inevitable.
Make your charts color blind friendly: use color for groups, not the individual categories.
Make your charts color blind friendly: use color for groups, not the individual categories.
Dot plots (and parallel coordinates) are the best choice when it comes to comparison charts, especially for those with multiple categories at the same time.
Dot plots (and parallel coordinates) are the best choice when it comes to comparison charts, especially for those with multiple categories at the same time.
Grouped bar/column charts are not the best choice when it comes to comparison charts, since they are too much based on the color differences of the bars of the same group.
Grouped bar/column charts are not the best choice when it comes to comparison charts, since they are too much based on the color differences of the bars of the same group.
Bubble charts are the best choice when it comes to correlation charts, since they can easily be used without color.
Bubble charts are the best choice when it comes to correlation charts, since they can easily be used without color.
Heatmaps are not the best choice when it comes to correlation charts, since they are heavily dependent on color.
Heatmaps are not the best choice when it comes to correlation charts, since they are heavily dependent on color.
Icon arrays are the best choice when it comes to part-to-whole & hierarchical charts, since they do not depend on colored areas or sectors.
Icon arrays are the best choice when it comes to part-to-whole & hierarchical charts, since they do not depend on colored areas or sectors.
Treemaps are not the best choice when it comes to part-to-whole & hierarchical charts, since they are heavily dependent on color.
Treemaps are not the best choice when it comes to part-to-whole & hierarchical charts, since they are heavily dependent on color.
Line charts are the best choice when it comes to date over time charts, since they can be modified in various ways to make it color blind friendly.
Line charts are the best choice when it comes to date over time charts, since they can be modified in various ways to make it color blind friendly.
Streamgraphs are not the best choice when it comes to date over time charts, since they are helpless without color.
Streamgraphs are not the best choice when it comes to date over time charts, since they are helpless without color.
Density and ridgeline plots are the best choice when it comes to distributive charts, since opacity and direct labels can substitute the need for coloring.
Density and ridgeline plots are the best choice when it comes to distributive charts, since opacity and direct labels can substitute the need for coloring.
One-dimensional heatmaps are not the best choice when it comes to distributive charts, excepted if you use a one hue palette.
One-dimensional heatmaps are not the best choice when it comes to distributive charts, excepted if you use a one hue palette.

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