Statistical Visualization

View data patterns and trends

Explore single-variable distributions using univariate plots such as box plots and histograms. Show the relationships between variables using bivariate plots such as grouped scatter plots and bivariate histograms. Visualize the relationship between multiple variables using multivariate plots such as Andrews and glyph plots. Customize your plot by adding case names, least-squares lines, and reference curves.

Functions

`andrewsplot`	Andrews plot
`binScatterPlot`	Scatter plot of bins for tall arrays
`biplot`	Biplot
`boxplot`	Visualize summary statistics with box plot
`gline`	Interactively add line to plot
`gname`	Add case names to plot
`gplotmatrix`	Matrix of scatter plots by group
`glyphplot`	Glyph plot
`gscatter`	Scatter plot by group
`hist3`	Bivariate histogram plot
`lsline`	Add least-squares line to scatter plot
`parallelcoords`	Parallel coordinates plot
`refcurve`	Add reference curve to plot
`refline`	Add reference line to plot
`scatterhist`	Scatter plot with marginal histograms

Topics

Compare Grouped Data Using Box Plots
Compare data distributions using box plot notches.
Create Scatter Plots Using Grouped Data
Compare data distributions and relationships between groups.
Visualizing Multivariate Data
This example shows how to visualize multivariate data using various statistical plots.