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Preattentive attributes are an easily noticeable difference in appearance useful for both quantitative and qualitative data

Preattentive attributes are an easily noticeable difference in appearance useful for both quantitative and qualitative data

Sep 29, 20251 min read

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  • topic/data-analysis/visualization

Preattentive attributes are easily noticeable differences in appearance useful for both quantitative and qualitative data. Saturation, chroma, or the intensity of color is a preattentive attribute used with quantitative information Length is a preattentive attribute used with quantitative information Position is a preattentive attribute used with both quantitative and qualitative information Motion is a preattentive attribute used to communicate quantitative information Shape is a preattentive attribute used with qualitative information Hue is a preattentive attribute used with qualitative information

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  • Basic visual design principles facilitate understanding data charts

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