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

Changing large numbers of variable names without scripting


In this recipe we learn how to change variable names by adding suffixes or prefixes using a Derive node. The data sources for this recipe were developed by computing the average value of several key fields after aggregating by the variable STATE and then by DOMAIN. The Aggregate node, as a default, appends the string _Mean (when obtaining a mean) to each of the variables so that the variable names come from both.

Getting ready

This recipe uses the datafiles cup98lrn_reduced_vars3_varchange state.sav and up98lrn_reduced_vars3_varchange domain.sav, and the stream Recipe – change variable names.str.

How to do it...

To change variable names by adding suffixes or prefixes using a Derive node:

  1. Open the stream Recipe – change variable names.str by navigating to File | Open Stream.

  2. Make sure the datafile points to the correct path to the cup98lrn_reduced_vars3_varchange state.sav and cup98lrn_reduced_vars3_varchange domain.sav.

  3. Open the Type node...