Basic Analysis and Graphing - SAS

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464 Creating Cell Plots Chapter 18 Additional Example of the Cell Plot Platform Figure 18.6 Cell Plot for SAT Scores From Figure 18.6, you notice the following: • Hawaii has the lowest verbal scores for 2004, and South Dakota has the highest verbal scores for 2004. • There is a contrast between Hawaii’s math and verbal scores. Hawaii has average math scores (represented by gray color values) but low verbal scores (represented by blue color values). Hawaii appears to be an outlier, since it has a strikingly different pattern for its math scores and its verbal scores. • There is very little contrast between North Dakota’s math and verbal scores. North Dakota’s math and verbal scores are generally high (represented by red color values). For a description of color themes, see “Context Menu for Cell Plots” on page 462.
Chapter 19 Creating Tree Maps Using the Tree Map Platform Tree maps are useful for observing patterns among groups that have many levels. Tree maps are like bar charts that have been folded over in two dimensions so that there is no unused space. Rather than drawing a single bar for each measurement, a tree map can show the magnitude of a measurement by varying the size or color of a rectangular area. Use tree maps when your data contains many categories, to visualize many groups. Tree maps were named and popularized by Ben Schneiderman, who has an extensive Web site about the idea (http://www.cs.umd.edu/hcil/treemap-history/index.shtml) Figure 19.1 Example of a Tree Map
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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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Contents Example of a Contour Plot
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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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Page 414 and 415: 414 Creating Maps Chapter 16 Exampl
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514 References Wadsworth, H. M., St
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516 Index examples 459, 463-464 lau
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518 Index Horizontal option 268, 32
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520 Index Proportion of Densities o
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522 Index examples 467-468, 473-482
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Basic Analysis and Graphing - SAS

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