SPSS Statistics for Data Analysis and Visualization
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Beschreibung
Dive deeper into SPSS Statistics for more efficient, accurate,and sophisticated data analysis and visualization
SPSS Statistics for Data Analysis and Visualization goesbeyond the basics of SPSS Statistics to show you advancedtechniques that exploit the full capabilities of SPSS. The authorsexplain when and why to use each technique, and then walk youthrough the execution with a pragmatic, nuts and bolts example.Coverage includes extensive, in-depth discussion of advancedstatistical techniques, data visualization, predictive analytics,and SPSS programming, including automation and integration withother languages like R and Python. You'll learn the best methods topower through an analysis, with more efficient, elegant, andaccurate code.
IBM SPSS Statistics is complex: true mastery requires a deepunderstanding of statistical theory, the user interface, andprogramming. Most users don't encounter all of the methods SPSSoffers, leaving many little-known modules undiscovered. This bookwalks you through tools you may have never noticed, and shows youhow they can be used to streamline your workflow and enable you toproduce more accurate results.
* Conduct a more efficient and accurate analysis
* Display complex relationships and create bettervisualizations
* 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 simplywouldn't be possible any other way, and the support for otherprogramming languages gives you better options for solving complexproblems. If you're ready to take advantage of everything thispowerful software package has to offer, SPSS Statistics for DataAnalysis and Visualization is the expert-led training youneed.
Autor*in
Keith McCormick
Themen in »SPSS Statistics for Data Analysis and Visualization«
Computer Science Data Analysis Data Mining Data Mining Statistics Database & Data Warehousing Technologies Datenanalyse Datenbanken u. Data Warehousing Informatik SPSS Statistics Statistik