Chapter Contents |
Previous |
Next |

Exploring Data in Two Dimensions |

A scatter plot *matrix* shows relationships
among several variables taken two at a time.
Scatter plot matrices can reveal a wealth of information,
including dependencies, clusters, and outliers.
You can explore the relationships among students' college
grade point averages and standardized test scores by
following these steps.

Select SATM, SATV, and GPA in the data window. |

To select these variables, use noncontiguous selection.
On most hosts, you can use the **Ctrl** key to make a
noncontiguous selection, as described in Chapter 1, "Getting Started."

Choose Analyze:Scatter Plot ( Y X ). |

This creates the scatter plot matrix shown in
Figure 5.13.

The plots are organized in a matrix of all pairwise
combinations of the variables **SATM**, **SATV**, and **GPA**.
Plots are arranged so that adjacent plots share a common axis.
All plots in a row share a common **Y** axis, and
all plots in a column share a common **X** axis.
The diagonal cells of the matrix contain the names
of the variables and their minimum and maximum values.

Click on a marker in any scatter plot. |

The observation label is displayed and corresponding
markers in all scatter plots are selected,
as shown in Figure 5.14.
This enables you to explore observations to see,
for example, if an outlier in one scatter plot
is an outlier in other scatter plots.

Chapter Contents |
Previous |
Next |
Top |

Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.