Categorical colors
Data visualization / Color
Usage
Categorical colors, also known as qualitative colors, are best used when you want to represent distinct groups or categories of data that have no inherent order or ranking.
- Distinguishing categories: Use categorical colors to help viewers easily differentiate between different categories or groups in your data. For example, different product lines, regions, or customer segments.
- Nominal data: Categorical colors are ideal for visualizing nominal data, where the data points are names or labels used to divide something into discrete categories.
- Charts with multiple series: When creating charts like bar charts, pie charts, or line charts with multiple series, use categorical colors to assign a unique color to each series.
Branded v2
1#A491833:1
2#2360757:1
3#588FA13.6:1
4#7749777:1
5#6DA16D3:1
6#62574F7:1
7#B2777A3.6:1
8#3B623B7:1
9#A677A63.6:1
10#8B979B3:1
Extended v1
Orange
11#F06F253:1
Magenta
12#A707807:1
Crimson
13#ED98AE2.15:1
Watercourse
14#08A9813:1
Lilac
15#7A27CC7:1
Atoll
16#0AC4C42.15:1
Violet
17#CB6FEA3:1
Royal
18#274EC77:1
Amber
19#E3A6002.15:1
Science
20#4F99E43:1
No data
400#D4D4D41.48:1

