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Data analytics with R / Bharti Motwani

By: Material type: TextTextPublication details: New Delhi : Wiley India Pvt. Ltd. , 2019.Description: xvii, 646 pages : illustrations ; 28 cmISBN:
  • 9788126576463
Subject(s): DDC classification:
  • 006.312 MOT
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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Holdings
Item type Current library Call number Status Barcode
Books Institute of Public Enterprise, Library S Campus 006.312 MOT (Browse shelf(Opens below)) Available 47773
Books Institute of Public Enterprise, Library S Campus 006.312 MOT (Browse shelf(Opens below)) Available 47774
Books Institute of Public Enterprise, Library S Campus 006.312 MOT (Browse shelf(Opens below)) Available 47775
Books Institute of Public Enterprise, Library S Campus 006.312 MOT (Browse shelf(Opens below)) Available 47776
Books Institute of Public Enterprise, Library S Campus 006.312 MOT (Browse shelf(Opens below)) Available 47777
Books Institute of Public Enterprise, Library S Campus 006.312 MOT (Browse shelf(Opens below)) 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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