Statistical Visualization

R2026b
View data patterns and trends

You can use Statistics and Machine Learning Toolbox™ functions to visualize:

  • Single-variable distributions — Create univariate plots, such as box plots and histograms.

  • Relationships between two variables — Create bivariate plots, such as grouped scatter plots.

  • Relationships between multiple variables — Create multivariate plots, such as Andrews, parallel coordinates, and glyph plots.

You can customize your plot by adding case names, least-squares lines, and reference curves.

For more plots, see Data Distribution Plots.

Functions

expand all

andrewsplotAndrews plot
binScatterPlotScatter plot of bins for tall arrays
biplotBiplot
boxplotVisualize summary statistics with box plot
gplotmatrixMatrix of scatter plots by group
glyphplotGlyph plot
gscatterScatter plot by group
parallelcoordsParallel coordinates plot
scatterhistScatter plot with marginal histograms
variabilitychartVariability chart (Since R2026b)
glineAdd line to plot interactively
gnameAdd case names to plot
lslineAdd least-squares line to scatter plot
refcurveAdd reference curve to plot
reflineAdd reference line to plot

Properties

VariabilityChart PropertiesVariability chart appearance and behavior (Since R2026b)

Topics