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R For Data Analysis : In Eassy Steps

By: Material type: TextTextLanguage: English Publication details: New Delhi : Bpb Publications, 2018Description: 192ISBN:
  • 9789387284227
Subject(s): DDC classification:
  • 005.133 (R) MCG
Summary: The R language is shows how to use R programming to analyse data to gain useful insights into patterns and trends, to enable better decision-making. This primer begins by explaining data analysis and core principles of the R programming language, then shows how to Store and manipulate data in Metrics from which useful plots and graphs can be created Import data sets into Data Frames from whih insightful data visualisations can be created Create line graphs, bar charts, histograms, scatter and box plots by following the examples. Use the grammar of graphics to present the data visualisations and gain deeper insights. By end of this book you will have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce attached visualizations for data analysis - use the free downloadable example R code to get started straightaway!
List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science | New Arrivals for the Month of August - 2023
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book Alliance College of Engineering and Design CSE & IT 005.133 ( R ) MCG (Browse shelf(Opens below)) Available E11831
Book Book Alliance School of Liberal Arts 005.133 ( R ) MCG (Browse shelf(Opens below)) Available LA01310
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The R language is shows how to use R programming to analyse data to gain useful insights into patterns and trends, to enable better decision-making. This primer begins by explaining data analysis and core principles of the R programming language, then shows how to Store and manipulate data in Metrics from which useful plots and graphs can be created Import data sets into Data Frames from whih insightful data visualisations can be created Create line graphs, bar charts, histograms, scatter and box plots by following the examples. Use the grammar of graphics to present the data visualisations and gain deeper insights. By end of this book you will have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce attached visualizations for data analysis - use the free downloadable example R code to get started straightaway!

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