Introduction :: Statistical Visualization (Statistics Toolbox™)

Learn more about Statistics Toolbox

Introduction

Statistics Toolbox data visualization functions add to the extensive graphics capabilities already in MATLAB.

Scatter plots are a basic visualization tool for multivariate data. They are used to identify relationships among variables. Grouped versions of these plots use different plotting symbols to indicate group membership. The gname function is used to label points on these plots with a text label or an observation number.
Box plots display a five-number summary of a set of data: the median, the two ends of the interquartile range (the box), and two extreme values (the whiskers) above and below the box. Because they show less detail than histograms, box plots are most useful for side-by-side comparisons of two distributions.
Distribution plots help you identify an appropriate distribution family for your data. They include normal and Weibull probability plots, quantile-quantile plots, and empirical cumulative distribution plots.

Advanced Statistics Toolbox visualization functions are available for specialized statistical analyses.

Note For information on creating visualizations of data by group, see Grouped Data.

Statistical Visualization

Scatter Plots

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