7.11: Key Terms
- Page ID
- 58315
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Key Terms and Definitions
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Preattentive Attribute — A visual property (color, size, shape) processed by the brain in under 500ms without conscious effort.
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Exploratory Visualization — Charts created for the analyst's own discovery — finding patterns and generating hypotheses.
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Explanatory Visualization — Charts designed for an audience to communicate a specific insight or story.
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Dimension — A categorical variable used to segment or group data in a chart (e.g., region, product).
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Measure — A quantitative variable that is aggregated (summed, averaged) to produce chart values.
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Chartjunk — Unnecessary decorative elements in a visualization that don't convey data and reduce clarity.
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Data Storytelling — The practice of combining data, visuals, and narrative to communicate insights compellingly.
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Color Blindness — A condition affecting ~8% of men where certain color distinctions (especially red-green) are difficult.
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Sequential Palette — A color scale progressing from light to dark of one hue, used for ordered numeric data.
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Diverging Palette — A two-sided color scale with a neutral center, used for data with a meaningful midpoint.
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Annotation — Text labels, callouts, or arrows added to a chart to highlight key data points or insights.
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Dual Axis — A chart with two different y-axis scales, which can aid comparison but risks misleading viewers.
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Small Multiples — A grid of similar charts, each showing a different subset of the data, for easy comparison.


