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You're reading from  IBM SPSS Modeler Essentials

Product typeBook
Published inDec 2017
PublisherPackt
ISBN-139781788291118
Edition1st Edition
Tools
IBM SPSS
Concepts
Predictive Analytics
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Authors (2):
Jesus Salcedo
Jesus Salcedo
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Jesus Salcedo

Jesus Salcedo has a PhD in psychometrics from Fordham University. He is an independent statistical consultant and has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.
Read more about Jesus Salcedo

Keith McCormick
Keith McCormick
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Keith McCormick

Keith McCormick is a career long practitioner of predictive analytics and data science. He has engaged in statistical modeling, data mining, and mentoring others in the area for more than 20 years. He has a particular expertise in helping organizations perform their first predictive analytics project or build their first predictive analytics practice, and has done so in a variety of industries including healthcare, banking, telecommunications, non-profit, direct mail, pharmaceuticals, and retail. Keith is also an established author and speaker with four books in print, or under contract. Although his consulting work is not restricted to any one tool, his writing and speaking has made him particularly well known in the IBM SPSS Statistics and IBM SPSS Modeler communities.
Read more about Keith McCormick

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Summary

This chapter introduced the Derive node. The Derive node can perform many different types of calculations so that users can extract more information from the data. These additional fields can then provide insight that may not have been apparent. In this chapter you learned that the Derive node can create fields as formulas, flags, nominals, or conditionals.

In the next chapter, we will continue to explore our data by discovering simple relationships between outcome fields and predictor fields. Specifically, readers will learn to use several statistical and graphing nodes to determine which fields are related to an outcome variable.

 

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IBM SPSS Modeler Essentials
Published in: Dec 2017Publisher: PacktISBN-13: 9781788291118
© 2017 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Jesus Salcedo

Jesus Salcedo has a PhD in psychometrics from Fordham University. He is an independent statistical consultant and has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users.
Read more about Jesus Salcedo

author image
Keith McCormick

Keith McCormick is a career long practitioner of predictive analytics and data science. He has engaged in statistical modeling, data mining, and mentoring others in the area for more than 20 years. He has a particular expertise in helping organizations perform their first predictive analytics project or build their first predictive analytics practice, and has done so in a variety of industries including healthcare, banking, telecommunications, non-profit, direct mail, pharmaceuticals, and retail. Keith is also an established author and speaker with four books in print, or under contract. Although his consulting work is not restricted to any one tool, his writing and speaking has made him particularly well known in the IBM SPSS Statistics and IBM SPSS Modeler communities.
Read more about Keith McCormick

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