Basic Analysis and Graphing - SAS

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476 Creating Tree Maps Chapter 19 Additional Examples of the Tree Map Platform The report window appears. Figure 19.9 City Colored by OZONE Note that the size of the rectangles is still based on the number of occurrences of the Categories variable, but the colors are mapped to ozone values. The high ozone value for Los Angeles clearly stands out. Missing values appear as black rectangles. Example of a Categorical Coloring Variable For example, using the Cities.jmp sample data table, specify a categorical Coloring variable as follows: 1. Open the Cities.jmp sample data table. 2. Select Graph > Tree Map. 3. Select city and click Categories. 4. Select Region and click Coloring. 5. Click OK. The report window appears.
Chapter 19 Creating Tree Maps 477 Additional Examples of the Tree Map Platform Figure 19.10 City Colored by Region All of the cities belonging to the same region are colored the same color. The colors are chosen from JMPs color theme. Examine Pollution Levels Using the Cities.jmp sample data table, examine the distribution of different pollution measurements (ozone and lead) across selected cities in the United States. First, examine ozone levels in the selected cities. 1. Open the Cities.jmp sample data table. 2. Select Graph > Tree Map. 3. Select POP (population) and click Sizes. 4. Select city and click Categories. 5. Select X and Y and click Ordering. 6. Select OZONE and click Coloring. 7. Click OK. The report window appears.
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Version 10 Basic Analysis and Graph
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USE, DATA OR PROFITS, WHETHER IN AN
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6 Options for Categorical Variables
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8 Nonparametric Bivariate Density R
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10 Example of the Power Option . .
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12 Statistical Details for the Logi
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14 Use Categorical Variables . . .
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16 Control Animation for Dynamic Bu
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18 Launch the Scatterplot Matrix Pl
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Contents Book Conventions. . . . .
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22 Learn about JMP Chapter 1 Book C
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24 Learn about JMP Chapter 1 Book C
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26 Learn about JMP Chapter 1 Additi
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28 Learn about JMP Chapter 1 Additi
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Contents Overview of the Distributi
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32 Performing Univariate Analysis C
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Contents Overview of the Fit Y by X
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90 Introduction to the Fit Y by X P
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Contents Example of Bivariate Analy
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94 Performing Bivariate Analysis Ch
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100 Performing Bivariate Analysis C
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Contents Overview of Oneway Analysi
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130 Performing Oneway Analysis Chap
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Contents Example of Contingency Ana
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186 Performing Contingency Analysis
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Contents Overview of Logistic Regre
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218 Performing Simple Logistic Regr
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Contents Overview of the Matched Pa
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238 Comparing Paired Data Chapter 8
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Contents Example of Bootstrapping .
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250 Bootstrapping Chapter 9 Example
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252 Bootstrapping Chapter 9 Unstack
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254 Bootstrapping Chapter 9 Analysi
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Contents Overview of Graph Builder
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258 Interactive Data Visualization
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Contents Example of the Chart Platf
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314 Creating Summary Charts Chapter
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Contents Example of an Overlay Plot
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340 Creating Overlay Plots Chapter
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Contents Example of a 3D Scatterplo
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354 Creating Three-Dimensional Scat
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374 Creating Contour Plots Chapter
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Contents Example of a Dynamic Bubbl
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384 Creating Bubble Plots Chapter 1
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Contents Overview of Mapping . . .
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406 Creating Maps Chapter 16 Exampl
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418 Creating Maps Chapter 16 Backgr
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Basic Analysis and Graphing - SAS

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