Application	Procedures
SPSS	Analyze ➔ Descriptive Statistics ➔ Explore … produces stem-and-leaf displays and boxplots by default; variables may be explored on a whole-of-sample basis or broken down by the categories of a specific variable (called a ‘factor’ in the procedure). Cases can also be labelled with a variable (like inspector in the QCI database), so that outlier points in the boxplot are identifiable. Graphs ➔ Chart Builder… can also be used to custom build different types of boxplots.
NCSS	Analysis ➔ Descriptive Statistics ➔ Descriptive Statistics produces a stem-and-leaf display by default. Graphics ➔ Box Plots ➔ Box Plots can be used to produce box plots with different features (such as ‘notches’ and connecting lines). Graphics ➔ Density Plots ➔ Density Plots can be configured to produce violin plots (by selecting the plot shape as ‘density with reflection’).
SYSTAT	Analyze ➔ Stem-and-Leaf… can be used to produce stem-and-leaf displays for variables; however, you cannot really control any features of these displays. Graph ➔ Box Plot… can be used to produce boxplots of many types, with a number of features being controllable.
STATGRAPHICS	Describe ➔ Numerical Data ➔ One-Variable Analysis... allows you to do a complete exploration of a single variable, including stem-and-leaf display (you need to select this option) and boxplot (produced by default). Some features of the boxplot can be controlled, but not features of the stem-and-leaf diagram. Plot ➔ Exploratory Plots ➔ Box-and-Whisker Plots... and select either One Sample... or Multiple Samples... which can produce not only descriptive statistics but also boxplots with some controllable features.
R Commander	Graphs ➔ Stem-and-leaf display... or Boxplots... the dialog box for each procedure offers some features of the display or plot that can be controlled; whole-of-sample boxplots or boxplots by groups are possible.