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Saturation

As explained in Everyday Data Visualization

The HSB color coordinate representing the intensity or vividness of a hue, ranging from gray at zero to the fullest color at the maximum.

Saturation is the intensity or purity of a color relative to gray. At 0%, a hue becomes gray; at 100%, it becomes that hue’s fullest, most vivid version. Saturation is also called chroma, though chroma is normalized for different light sources. It is not hue—the color’s name—nor value, lightness, or brightness, which describe how dark or light a color is. section 4.2 section 4.2.2

Figure 4.16 This demonstration of changing hue and saturation shows that increasing saturation for a given hue starts with gray at 0% and yields more vibrant colors as saturation gets to 100%.
04-16

Hold a hue steady and raise saturation: the color travels from gray toward richer, more vibrant color. The figure makes the single control feel less mysterious than its name suggests. section 4.2.2

In HSB (also called HSV), saturation runs from 0% to 100% alongside hue and brightness. Brightness still matters: at 0% brightness, every combination of hue and saturation is black. In HSL, saturation works similarly, but lightness sets the endpoints: 0% lightness is black, 100% is white, and a fully saturated true color sits at 50% lightness. section 4.2.2 section 4.2.3

Use saturation as a practical emphasis control in color palettes:

  • For a single-hue sequential scale, move from gray toward full color to map smaller values to less color and larger values to more color. section 4.3.1
  • Vary lightness as well as saturation. A saturation-only gradient can lose low values against the background and may not remain clear in grayscale. section 4.3.1
  • When one category grabs attention it has not earned, lower its saturation rather than changing its hue outright. section 4.3.3
  • Treat adjustments as trade-offs: changes that improve balance or distinction for one viewer may not improve them for a colorblind viewer. section 4.3.3

Tuning an unruly categorical palette

A sunset-inspired palette contains a yellow that pops too strongly, an almost-black bar, and tan too close to yellow. Dialing down the yellow’s saturation reduces its accidental emphasis. Raising saturation and lightness can make a very dark, desaturated magenta read more distinctly, while similar adjustments can move tan toward brown. The hues can remain unchanged, yet the palette becomes more balanced—although accessibility still needs checking. section 4.3.3

How Everyday Data Visualization covers it

How deep it goes
Defines saturation, contrasts it with hue and lightness, and demonstrates its interactions in HSB and HSL palettes.
Examples
Demonstrates gray-to-vivid hue changes, single-hue gradients, and a sunset-derived categorical palette adjusted for balance.
What it assumes
Teaches saturation from zero while using basic ideas of hue, brightness, lightness, and gray as reference points.
What you can do after
Apply it via a color picker to reduce accidental emphasis and construct more legible palette gradients.
How it connects
Connects saturation with hue, chroma, brightness, lightness, color spaces, sequential palettes, and colorblind-friendly contrast.

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This explainer was generated by Manning's knowledge graph from the text of Everyday Data Visualization. The section links point to the parts of the book it draws on.