Basic Analysis and Graphing - SAS

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260 Interactive Data Visualization Chapter 10 Example Using Graph Builder 6. Click on Cholesterol g in the Group X zone and drag and drop it into the Wrap zone. Figure 10.4 Example of Calories Versus Total fat g by Cholesterol g in the Wrap Zone A scatterplot of Calories versus Total fat g is created for every level of Cholesterol g. You can see that some of the cells have very little data; other cells have a lot of data. Among the cells that have a lot of data (cholesterol equals 0, 5, 10), there is still considerable variation in calories. So you decide to remove Cholesterol g. 7. Remove Cholesterol g by right-clicking on the Cholesterol g label in the Group X zone and selecting Remove. Determine whether carbohydrates has any effect. 8. Drag and drop Carbohydrate g into the Wrap zone.
Chapter 10 Interactive Data Visualization 261 Example Using Graph Builder Figure 10.5 Example of Calories Versus Total fat g by Carbohydrate g Carbohydrate g is a continuous variable with many values, so Graph Builder uses the percentiles to create five ranges of carbohydrate g levels. About the same number of points are displayed in each group. You can see that the relationship between calories and fat is relatively strong for each level of carbohydrate. It appears that carbohydrates adds additional predictive ability. Now that you have determined that carbohydrates have a significant impact on calories, combine the five scatterplots into one scatterplot to directly compare the lines. You still want to identify the carbohydrate levels.
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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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Page 210 and 211: 210 Performing Contingency Analysis
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310 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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Contents Example of a Parallel Plot
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450 Creating Parallel Plots Chapter
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Contents Example of a Cell Plot. .
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460 Creating Cell Plots Chapter 18
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Contents Example of Tree Maps . . .
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468 Creating Tree Maps Chapter 19 E
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470 Creating Tree Maps Chapter 19 E
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472 Creating Tree Maps Chapter 19 T
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474 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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