Data Distribution Plots

Create plots by passing tables directly to plotting functions.

Create pie charts and donut charts, and configure labels, colors, and slice arrangements. (Since R2023b)

This example shows how to adjust the color scale of a bivariate histogram plot to reveal additional details about the bins.

This example shows how to use histogram to effectively view categorical data.

This example shows how to create a heatmap from a table and how to modify the heatmap appearance.

This example shows how to create a word cloud from plain text by reading it into a string array, preprocessing it, and passing it to the wordcloud function.

This example shows how to create a parallel coordinates plot from a table and how to modify the appearance of the plot.

histogram, histcounts, and discretize are the recommended histogram creation and computation functions for new code.