Color Palettes for Data Visualization

• Sequential Palette
• Divergent Palette
• Qualitative Palettes
• Status Palette

Color should be used in a manner that is consistent with the Spark Color Palette.

There are four types of color palettes defined for data visualization: Sequential, Divergent, Qualitative, and Status.

---

Sequential Palette

• This is the default palette. It should be used in most instances and is best suited for displaying different categories within a data set.
• The Sequential palette is also well-suited for displaying values that indicate a progression from low (lightest color) to high (darkest color).

---

Divergent Palette

• This palette should only be used for illustrating contrasting trends.
• The low vs. high colors may be used to call out the extremes (lowest/highest) within each trend. For example, illustrating that one grouping of markets is performing above sales goals, while another grouping is performing below.

---

Qualitative Palettes

The Qualitative palettes may be used to display categorical information when the low-to-high progression of the Sequential palette results in a less optimal representation of the data.

---

Status Palette

When displaying data sets with explicit positive, negative, and/or neutral trends, the messaging colors should be applied.