Linked from
The 39 pages that link to Data visualization, each with the reason it gives.
Visual hierarchyRelated: Emphasis directs attention to key values and comparisons.
AbstractionRelated: Visualizations abstract large datasets into selected patterns and relationships.
Business intelligenceRelated: Visual encodings help expose patterns and comparisons in BI results.
Information designBroader topic: It applies information-design principles to quantitative evidence.
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.
Bar chartNarrower topic: A bar chart is a basic visual form for communicating comparisons in data.
Data analysisRelated: Visual displays expose patterns and make analytical findings interpretable.
Small multiplesNarrower topic: Small multiples are a design technique within this broader practice.
DashboardNarrower topic: Charts and visual encodings make dashboard measurements easier to scan.
Decision support systemRelated: Charts can make model outputs and comparisons easier to interpret.
William PlayfairRelated: Playfair’s work is an early landmark in presenting numerical data visually.
Heat mapNarrower topic: Heat maps are one way to encode quantitative data visually.
Pie chartNarrower topic: A pie chart is one visual encoding for categorical data.
Radar chartNarrower topic: Radar charts are one way to encode multivariate data visually.