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LEARNING R:A STEP BY STEP FUNCTION GUIDE TO DATA ANALYSIS

By: COTTON,RICHARD.
Material type: TextTextSeries: LEARNING R:A STEP BY STEP FUNCTION GUIDE TO DATA ANA. O'REILLY.Publisher: MUMBAI SPD 2013Description: xix,377.ISBN: 978-93-5110-286-1.Subject(s): DDC classification: 519.502855133/COT R PROG./RACKSummary: Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you’ve learned, and concludes with exercises, most of which involve writing R code.
List(s) this item appears in: new arrival march
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Books Books Symbiosis Institute of Computer Studies and Research
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Reference 519.502855133/COT (Browse shelf) Available SICSR-B-18396
Books Books Symbiosis Institute of Computer Studies and Research
519.502855133/COT (Browse shelf) Available SICSR-B-18397
Books Books Symbiosis Institute of Computer Studies and Research
519.502855133/COT (Browse shelf) Available SICSR-B-18398
Books Books Symbiosis Institute of Computer Studies and Research
519.502855133/COT (Browse shelf) Available SICSR-B-18399
Books Books Symbiosis Institute of Computer Studies and Research
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519.502855133/COT (Browse shelf) Available SICSR-B-18400

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.
The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what you’ve learned, and concludes with exercises, most of which involve writing R code.

R PROG./RACK

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