Book Image

IBM SPSS Modeler Cookbook

Book Image

IBM SPSS Modeler Cookbook

Overview of this book

IBM SPSS Modeler is a data mining workbench that enables you to explore data, identify important relationships that you can leverage, and build predictive models quickly allowing your organization to base its decisions on hard data not hunches or guesswork. IBM SPSS Modeler Cookbook takes you beyond the basics and shares the tips, the timesavers, and the workarounds that experts use to increase productivity and extract maximum value from data. The authors of this book are among the very best of these exponents, gurus who, in their brilliant and imaginative use of the tool, have pushed back the boundaries of applied analytics. By reading this book, you are learning from practitioners who have helped define the state of the art. Follow the industry standard data mining process, gaining new skills at each stage, from loading data to integrating results into everyday business practices. Get a handle on the most efficient ways of extracting data from your own sources, preparing it for exploration and modeling. Master the best methods for building models that will perform well in the workplace. Go beyond the basics and get the full power of your data mining workbench with this practical guide.
Table of Contents (17 chapters)
IBM SPSS Modeler Cookbook
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Reformatting data for reporting with a Transpose node


The Transpose node is very useful for restructuring data. One way it can be particularly helpful is with reporting of results, especially when the data has many more columns than rows.

Getting ready

This recipe uses the datafile cup98lrn_reduced_vars3.sav and the stream Recipe – report with transpose.str.

How to do it...

To reformat data with a Transpose node:

  1. Open the stream Recipe – report with transpose.str by navigating to File | Open Stream.

  2. Make sure the datafile points to the correct path to cup98lrn_reduced_vars3.sav.

  3. Insert an Aggregate node and connect it to the Type node.

  4. Open the Aggregate node and in the Key fields: area, select TARGET_B as the field to aggregate. In the Default Mode: options, deselect Sum so only Mean is checked. Click on the Apply default operations button at the right-end of the Default Mode: options. In the Aggregate fields region, select all of the continuous fields (except CONTROLN) and all of the flag fields...