30+ Data Visualization Types

The most versatile chart for comparing discrete categories side by side.

Compare multiple series across the same categories by grouping bars side by side.

Bar chart rotated 90° — ideal for long category labels and many categories.

Compare multiple entities across several quantitative dimensions simultaneously.

A cleaner, less cluttered alternative to bar charts using stems and circles.

Compare a primary measure against a target and qualitative ranges in a compact format.

The standard for showing how a single value changes over time.

A line chart with the area below filled, emphasizing volume and magnitude.

Compare multiple time series in a single chart using distinct colored lines.

Show how multiple series contribute to a changing total over time.

Compare values between exactly two time points, emphasizing the direction and magnitude of change.

Show the frequency distribution of a single continuous variable using binned bars.

Summarize a distribution with five statistics: min, Q1, median, Q3, max.

Combines a box plot with a density estimate, showing the full distribution shape.

Show every individual data point, revealing the true granular distribution.

Reveal correlations and patterns between two continuous variables.

Extend a scatter plot with a third variable encoded as bubble size.

Encode values as colors in a matrix to reveal patterns across two categorical dimensions.

Display pairwise correlations between all variables in a dataset as a colored grid.

Show part-to-whole relationships as proportional slices of a circle.

A pie chart with a center hole — allows a summary metric in the middle.

Stack multiple series vertically to show composition and total simultaneously.

Show hierarchical composition using nested rectangles sized by value.

A square grid where each cell represents a percentage, making proportions tangible.

Visualize flows between nodes with link widths proportional to flow quantity.

Show progressive reduction through stages of a process or conversion pipeline.

Track how entities move between categories across multiple stages over time.

Display hierarchical parent-child relationships as a branching tree structure.

A radial treemap showing hierarchical composition in concentric rings.

A rectangular partitioned layout showing hierarchy from top to bottom.