Data science in R a case studies approach to computational reasoning and problem solving

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about diff...

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Bibliographic Details
Main Authors: Nolan, Deborah Ann (Author), Lang, Duncan Temple (Author)
Format: Book
Language:English
Published: Boca Raton, FL CRC Press [2015]
Series:Chapman & Hall/CRC the R series
Subjects:
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Call Number :QA 276.45.R3 N65 2015

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300 |a xxiii, 515 pages  |b illustrations  |c 25 cm. 
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504 |a Includes bibliographical references and index 
505 0 |a 1. Data manipulation and modeling -- 2. Simulation studies-- 3. Data and web technologies 
520 |a Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions 
592 |a 20170164  |b 28/7/2017  |c RM 339.21  |h Nijuyon 
650 0 |a R (Computer program language) 
650 0 |a Statistics  |x Data processing 
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