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- What colors to use for data visualization?
- What is color theory in visual design?
- Why use color in data visualization?
- How many colors are there in data visualization?
What colors to use for data visualization?
Use warm colors & blue
That's because these warm colors and blue are super versatile for categories. Yellow and orange and red look very pleasing together, but people will still perceive them as different: ⬤⬤⬤ — which is exactly what we want for categorical colors. And blue is more flexible than any other hue.
What is color theory in visual design?
Color theory is the collection of rules and guidelines which designers use to communicate with users through appealing color schemes in visual interfaces. To pick the best colors every time, designers use a color wheel and refer to extensive collected knowledge about human optical ability, psychology, culture and more.
Why use color in data visualization?
Color is important in data visualization because it allows you to highlight certain pieces of information and promote information recall. Using different colors can separate and define different data points within a visualization so that viewers can easily distinguish significant differences or similarities in values.
How many colors are there in data visualization?
While the use of different colors can help distinguish between different data points, a chart should at most comprise of 6–8 distinct color categories for each of those to be readily distinguishable.
