Basic Analysis and Graphing - SAS

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430 Creating Maps Chapter 16 Examples of Creating Maps Figure 16.24 Population of Parishes Before and After Katrina 16. Select the Magnifier tool to zoom in on the Orleans parish. Figure 16.25 Orleans Parish
Chapter 16 Creating Maps 431 Examples of Creating Maps You can clearly see the drop in population as a result of Hurricane Katrina. The population of the Orleans parish went from 437,186 in July 2005 to 158,353 in January 2006. Point to Specific Map Files Directly from Your Data As an example of pointing to specific map files directly from your data, say that you already have your custom map files and they are named appropriately. Your map files are US-MSA-Name.jmp and US-MSA-XY.jmp. They are saved in the Sample Data folder. The PopulationByMSA.jmp data table contains population data from the years 2000 and 2010 for the metropolitan statistical areas (MSAs) of the United States. Set up the Map Role column property in the data table, as follows: 1. Open the PopulationByMSA.jmp sample data table. 2. Right-click on the Metropolitan Statistical Area column and select Column Info. 3. Select Column Properties > Map Role. 4. Select Shape Name Use. 5. Next to the Map name data table, enter the following path: – On Windows: C:\Program Files\SAS\JMP\\Samples\Data\US-MSA-Name.jmp – On Mac: /Library/Application Support/JMP//Samples/Data/ US-MSA-Name.jmp This tells JMP where the data tables containing the map information reside. 6. Next to the Shape definition column, type MSA_Name. MSA_Name is the specific column within the US-MSA-Name.jmp data table that contains the unique names for each metropolitan statistical area. Notice that the MSA_Name column has the Shape Name Definition Map Role property assigned, as part of correctly defining the map files. Note: Remember, the Shape ID column in the -Name data table maps to the Shape ID column in the -XY data table. This means that indicating where the -Name data table resides links it to the -XY data table, so that JMP has everything that it needs to create the 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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480 Creating Tree Maps Chapter 19 A
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482 Creating Tree Maps Chapter 19 A
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Contents Example of a Scatterplot M
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486 Creating Scatterplot Matrices C
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Contents Example of a Ternary Plot
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496 Creating Ternary Plots Chapter
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504 References Becker, R.A. and Cle
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506 References Dunnett, C.W. (1955)
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508 References Hosmer, D.W. and Lem
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510 References McLachlan, G.J. and
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512 References Robertson, T., Wrigh
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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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