Basic Analysis and Graphing - SAS

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272 Interactive Data Visualization Chapter 10 Merge Variables Task Shape Add an X variable to the right of another X variable - Add a Y variable to the bottom of another Y variable Add a Y variable to the top of another Y variable Add a categorical X variable within an existing categorical X variable, nesting the axes Related Information • “Example of Adding Multiple Variables to the X or Y Zone” on page 280 Merge Variables Merging variables places both variables on the same axis and creates a graph for both variables. Merging is similar to adding variables, in that a graph element is added for both variables. But adding variables maintain separate axes and scales, and merging variables use the same axis and the same scale for the variables. If you have no variables in the X or Y zone, you can drag multiple variables from the Variables list into the X or Y zone. This merges the selected variables. If you have existing variables in the X or Y zone where you want to add variables, note the following: • If you merge a categorical variable with an existing continuous variable, then the categorical variable is transformed into integer values. For example, using the Students.jmp data, if sex is merged with height, the values of sex (F and M) are transformed into 0 and 1. The transformation allows the two variables to use the same axis and scale. • If you merge a numeric variable with an existing categorical variable, the result is ordered. See “Order Variables” on page 273.
Chapter 10 Interactive Data Visualization 273 Merge Variables Related Information • “Example of Merging Variables” on page 281 Order Variables The levels of a nominal or ordinal variable on a graph are ordered alphabetically by default. There are two ways that you can modify this order: • Use the Value Ordering column property. See the Using JMP book. • Use a second variable. See “Use a Second Variable” on page 273. Use a Second Variable A nominal or ordinal variable can be ordered only by a numeric variable. The variable that does the ordering has to be numeric so that an average can be computed for each level of the categorical variable. Note: If you try to order a numeric variable with another numeric variable, JMP defaults to a merge. See “Merge Variables” on page 272. • To order by a second variable, drag the second (numeric) variable into the graph area next to the existing (nominal or ordinal) variable. • To change the order from ascending to descending, right-click on the variable and deselect Ascending. • The default ordering statistic is the mean. To use another statistic, right-click on the variable and select Order Statistic. The available statistics are N, Mean, Median, Min, Max, Range, Sum, and % of Total. • To remove the ordering, right-click and select Remove Order. Related Information • “Example of Ordering Variables Using a Second Variable” on page 282 Replace Variables You can replace an existing variable with an incoming variable, maintaining a single graph element. If grouping variables exist, a single graph element is maintained for the incoming variable for each combination of grouping variables. To replace an existing variable, drag and drop the variable from the Select Columns box atop the existing variable. Before you drop the variable, a hexagon appears. Create a Second Y Axis If you have two Y variables, you can move one of the variables to create a second Y axis. Right-click on the Y variables and select Move Right. Select the variable that you want to move.
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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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90 Introduction to the Fit Y by X P
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94 Performing Bivariate Analysis Ch
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100 Performing Bivariate Analysis C
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186 Performing Contingency Analysis
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218 Performing Simple Logistic Regr
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220 Performing Simple Logistic Regr
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322 Creating Summary Charts Chapter
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340 Creating Overlay Plots Chapter
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354 Creating Three-Dimensional Scat
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374 Creating Contour Plots Chapter
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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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450 Creating Parallel Plots Chapter
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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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486 Creating Scatterplot Matrices C
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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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522 Index examples 467-468, 473-482
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Basic Analysis and Graphing - SAS

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