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Data Visualization for Statistics

Choosing the Right Chart

The chart type should match the data relationship and the message: Comparison across categories → bar chart (horizontal if labels are long). Trend over time → line chart. Distribution of values → histogram or box plot. Part-to-whole → pie chart (only with 2-5 categories; stacked bar is better for more). Relationship between two variables → scatter plot. Edward Tufte's principle of data-ink ratio applies: maximize the proportion of ink devoted to data, minimize decorative elements. Every visual element should serve an analytical purpose. Three-dimensional bar charts, excessive gridlines, and chartjunk (decorative images overlaid on data) obscure rather than illuminate.

Data Visualization for Statistics

Choosing the Right Chart

The chart type should match the data relationship and the message: Comparison across categories → bar chart (horizontal if labels are long). Trend over time → line chart. Distribution of values → histogram or box plot. Part-to-whole → pie chart (only with 2-5 categories; stacked bar is better for more). Relationship between two variables → scatter plot. Edward Tufte's principle of data-ink ratio applies: maximize the proportion of ink devoted to data, minimize decorative elements. Every visual element should serve an analytical purpose. Three-dimensional bar charts, excessive gridlines, and chartjunk (decorative images overlaid on data) obscure rather than illuminate.