User manual SAS DISCOVERING JMP RELEASE 9

[. . . ] Release 9 Discovering JMP "The real voyage of discovery consists not in seeking new landscapes, but in having new eyes. " Marcel Proust JMP, A Business Unit of SAS SAS Campus Drive Cary, NC 27513 The correct bibliographic citation for this manual is as follows: SAS Institute Inc. JMP® 9 Discovering JMP Copyright © 2010, SAS Institute Inc. , Cary, NC, USA ISBN 978-1-60764-600-6 All rights reserved. Produced in the United States of America. For a hard-copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. [. . . ] Click OK. Figure 3. 6 Bar Charts of Type and Size Co Bar Charts Summary Information Interpreting the Bar Charts The bar charts provides these answers: · There are more computer companies than pharmaceutical companies. The bar that represents computer companies is larger than the bar that represents pharmaceutical companies. · The most common company size is small. The bar that represents small companies is larger than the bars that represent medium and big companies. The additional summary output gives detailed frequencies. This report is discussed in "Distributions of Categorical Variables, " p. 98 in the "Analyzing Your Data" chapter. Chapter 3 Visualizing Your Data Comparing Multiple Variables 61 Interacting with the Bar Charts As is the case with histograms, click on individual bars to highlight rows of the data table. If more than one graph is created, clicking on a bar in one bar chart highlights the corresponding bar or bars in the other bar chart. For example, suppose that you want to see the distribution of company size for the pharmaceutical companies. Click on the Pharmaceutical bar in the Type bar chart, and the pharmaceutical companies are highlighted on the Size Co bar chart. Figure 3. 7 shows that although most companies in this data table are small, most of the pharmaceutical companies are medium or big. Also, the corresponding rows in the data table are selected. Figure 3. 7 Clicking Bars Click on this bar to select the corresponding data in the other chart. Comparing Multiple Variables Use multiple-variable graphs to visualize the relationships and patterns between two or more variables. This section covers the following graphs: Table 3. 1 Multiple-Variable Graphs "Scatterplots, " p. 66 "Side-by-Side Box Plots, " p. 69 Use scatterplots to compare two continuous variables. Use scatterplot matrices to compare several pairs of continuous variables. Use side-by-side box plots to compare one continuous and one categorical variable. 62 Visualizing Your Data Comparing Multiple Variables Table 3. 1 Multiple-Variable Graphs Chapter 3 "Overlay Plots, " p. 71 Use overlay plots to compare one or more variables on the Y-axis to another variable on the X-axis. Overlay plots are especially useful if the X variable is a time variable, because you can compare how two or more variables change across time. Use variability charts to compare one or more Y variables to one or more X variables. Variability charts show differences in means and variability across several variables. Use Graph Builder to create and change graphs interactively. [. . . ] Select the Horizontal Layout option to turn it on. Deselect the Outlier Box Plot option to turn it off. Chapter 6 Special Features Integrating JMP and SAS 139 Figure 6. 8 Distribution Preferences 6. See "Create a Distribution using the default preference setting, " p. 137 The histogram is now horizontal and the outlier box plot does not appear. [. . . ]