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Choosing the right color palette for data visualization is crucial for effectively conveying information and ensuring that the audience can easily interpret the data. There are three main types of color palettes used in data visualization: categorical, sequential, and diverging1.
Categorical Color Palettes
Categorical color palettes are used for data with distinct categories that have no inherent order. These palettes are ideal for distinguishing between discrete data groups without implying any order or magnitude. Effective categorical palettes limit colors to around ten unique shades to prevent visual confusion and ensure each category is distinct1.
Examples:
Retro Metro: A vibrant blend of reds, pinks, oranges, yellows, greens, blues, and purples. ["#ea5545", "#f46a9b", "#ef9b20", "#edbf33", "#ede15b", "#bdcf32", "#87bc45", "#27aeef", "#b33dc6"]
Dutch Field: Features bold colors like hot pink, sky blue, lime green, and orange. ["#e60049", "#0bb4ff", "#50e991", "#e6d800", "#9b19f5", "#ffa300", "#dc0ab4", "#b3d4ff", "#00bfa0"]
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Chart created with wpDataTables The colors used for data visualization can be classified into three palettes: categorical colors, sequential colors, and diverging colors. See more
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