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|a SPSS® Statistics for Data Analysis and Visualization
|h Elektronische Ressource
|c Keith McCormick (is a data mining consultant, trainer, and speaker. A passionate user of SPSS for 25 years, he has trained thousands on how to effectively use SPSS Statistics and SPSS Modeler. He blogs at keithmccormick.com.), -- Jesus Salcedois (an independent statistical consultant. He is a former SPSS Curriculum Team Lead and Senior Education Specialist, who has written numer-ous SPSS training courses and trained thousands of users.) with Jon Peck (recently retired from IBM and SPSS, was instrumental in developing and introducing the R and Python connections to the SPSS community. This expertise made him uniquely qualified to produce Chapter 18. He is the author of all the extension commands discussed in that chapter and has a patent pend-ing on the algorithm in SPSSINC TURF procedure discussed there. He can be reached at jkpeck@gmail.com.) and Andrew Wheeleris (a professor of criminology at the University of Texas at Dallas and a former crime analyst. The application of geospatial techniques in his research created the opportunity for a powerful real world example in Chapter 8. He has used SPSS for over 10 years, and often blogs SPSS tutorials at andrewpwheeler.wordpress.com.)
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|a Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization -- SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. -- IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. -- Conduct a more efficient and accurate analysis -- Display complex relationships and create better visualizations -- Model complex interactions and master predictive analytics -- Integrate R and Python with SPSS Statistics for more efficient, more powerful code -- These "hidden tools" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.
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