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Basic Analysis and Graphing - SAS

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Chapter 17 Creating Parallel Plots 455<br />

Additional Examples of the Parallel Plot Platform<br />

From Figure 17.10, you observe the following:<br />

• For sepal width, the setosa values appear to be higher than the virginica <strong>and</strong> versicolor values.<br />

• For petal width, the setosa values appear to be lower than the virginica <strong>and</strong> versicolor values.<br />

Examine Three Species in Different Parallel Plots<br />

1. From the Iris.jmp sample data table, select Graph > Parallel Plot.<br />

2. Select Sepal length, Sepal width, Petal length, <strong>and</strong> Petal width <strong>and</strong> click Y, Response.<br />

3. Select Species <strong>and</strong> click X, Grouping.<br />

4. Click OK.<br />

The report window appears.<br />

Figure 17.11 Three Species in Different Parallel Plots<br />

Each species is represented in a separate parallel plot.<br />

Examine Student Measurements<br />

The following example uses the Big Class.jmp sample data table, which contains data on age, sex, height,<br />

<strong>and</strong> weight for 40 students. Examine the relationships between different variables.<br />

1. Open the Big Class.jmp sample data table.<br />

2. Select Graph > Parallel Plot.<br />

3. Select height <strong>and</strong> weight <strong>and</strong> click Y, Response.<br />

4. Select age <strong>and</strong> click X, Grouping.<br />

5. Select sex <strong>and</strong> click By.<br />

6. Select the Scale Uniformly check box.<br />

7. Click OK.

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