Basic Analysis and Graphing - SAS

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478 Creating Tree Maps Chapter 19 Additional Examples of the Tree Map Platform Figure 19.11 OZONE Levels for Selected Cities From Figure 19.11, you observe the following: • Los Angeles has a high level of ozone. It is also a western state, and that is reflected by its positioning in the tree map. • Chicago and Houston have slightly elevated ozone levels. • New York and Washington have slightly lower-than-average ozone levels. Next, examine lead levels in the selected cities. Perform the same steps as before, but substitute Lead with OZONE for the Coloring variable. Figure 19.12 Lead Levels for Selected Cities
Chapter 19 Creating Tree Maps 479 Additional Examples of the Tree Map Platform From Figure 19.12, you observe the following: • Cleveland and Seattle have high levels of lead. Cleveland is near the middle of the country, and Seattle is in the northwest. These locations are reflected by their positioning in the tree map. • Interestingly, most other cities have rather low lead levels. • Raleigh and Phoenix have missing values for lead measurements. Examine Causes of Failure This example uses the Failure3.jmp sample data table, which contains the common causes of failure during the fabrication of integrated circuits. Examine the causes of failure and when it occurs. 1. Open the Failure3.jmp sample data table, located in the Quality Control folder. 2. Select Graph > Tree Map. 3. Select N and click Sizes. 4. Select failure and clean and click Categories. 5. Select clean and click Coloring. 6. Click OK. The report window appears. Figure 19.13 Failure Modes From Figure 19.13, you observe the following: • Contamination is the biggest cause of failure. • Contamination occurs more often before the circuits were cleaned, rather than after they were cleaned.
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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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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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418 Creating Maps Chapter 16 Backgr
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Page 516 and 517: 516 Index examples 459, 463-464 lau
Page 518 and 519: 518 Index Horizontal option 268, 32
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Page 522: 522 Index examples 467-468, 473-482
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Basic Analysis and Graphing - SAS

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