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Data analytics with R / Bharti Motwani

By: Motwani, BhartiMaterial type: TextTextPublisher: New Delhi : Wiley India Pvt. Ltd. , 2019Description: xvii, 646 pages : illustrations ; 28 cmISBN: 9788126576463Subject(s): Machine learning | R (Computer program language)DDC classification: 006.312 Summary: Data analysis is the method of examining, cleansing, and modeling with the objective of determining useful information for effective decision-making and operations. It includes diverse techniques and tools and plays a major role in different business, science and social science areas. R software provides numerous functions and packages for using different techniques for producing desired outcome. Data Analytics with R will enable readers gain sufficient knowledge and experience to perform analysis using different analytical tools available in R. Each chapter begins with a number of important and interesting examples taken from a variety of sectors.
List(s) this item appears in: New Arrivals - August 1st to 31st 2023
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Books Institute of Public Enterprise, Library
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006.312 MOT (Browse shelf) Available 47773
Books Institute of Public Enterprise, Library
S Campus
006.312 MOT (Browse shelf) Available 47774
Books Institute of Public Enterprise, Library
S Campus
006.312 MOT (Browse shelf) Available 47775
Books Institute of Public Enterprise, Library
S Campus
006.312 MOT (Browse shelf) Available 47776
Books Institute of Public Enterprise, Library
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006.312 MOT (Browse shelf) Checked out 05/14/2024 47777
Books Institute of Public Enterprise, Library
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006.312 MOT (Browse shelf) Available 43522

Data analysis is the method of examining, cleansing, and modeling with the objective of determining useful information for effective decision-making and operations. It includes diverse techniques and tools and plays a major role in different business, science and social science areas. R software provides numerous functions and packages for using different techniques for producing desired outcome. Data Analytics with R will enable readers gain sufficient knowledge and experience to perform analysis using different analytical tools available in R. Each chapter begins with a number of important and interesting examples taken from a variety of sectors.

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