Linked from

The 39 pages that link to Data visualization, each with the reason it gives.

• Digital humanitiesRelated: Visual forms make computational findings legible and expose patterns or omissions.

• RepresentationRelated: Charts represent complex realities through categories, scales, and visual choices.

• Exploratory data analysisRelated: Plots make distributions and relationships visible in ways summary numbers alone may not.

• Visual metaphorRelated: Charts and diagrams can use metaphorical forms to make unfamiliar data intuitively graspable.

• Data journalismRelated: Visual forms can make a verified pattern legible without replacing its underlying evidence.

• Visual hierarchyRelated: Emphasis directs attention to key values and comparisons.

• Visual rhetoricRelated: Charts can make evidence legible while also emphasizing particular comparisons or conclusions.

• Visual storytellingRelated: Charts can tell compact stories about change and comparison without depicting fictional events.

• Visual literacyRelated: Interpreting visualized data requires noticing scales, encodings, and design choices.

• AbstractionRelated: Visualizations abstract large datasets into selected patterns and relationships.

• Business intelligenceRelated: Visual encodings help expose patterns and comparisons in BI results.

• DataRelated: Visual encoding makes some patterns in data easier to inspect.

• Data typesRelated: Scale type guides choices such as ordering categories or spacing numeric values.

• Quantitative dataRelated: Plots make numerical distributions and relationships easier to inspect.

• Data scienceRelated: It helps expose patterns and make analytical results interpretable.

• Data analysisRelated: Visual displays expose patterns and make analytical findings interpretable.

• Digital historyRelated: Visualizations make patterns in historical datasets legible and interpretable.

• Decision support systemRelated: Charts can make model outputs and comparisons easier to interpret.

• Statistics (numerical data)Related: Charts can make numerical patterns visible while choices of scale affect interpretation.

• Technical communicationRelated: Visuals can make quantitative technical information easier to inspect and interpret.

• William PlayfairRelated: Playfair’s work is an early landmark in presenting numerical data visually.

• Scientific writingRelated: Figures and tables can communicate results more efficiently than prose alone.