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Beginning Data Science In R 4: Data Analysis, Visualization, and Modelling For The Data Scientist / Thomas Mailund

By: Language: English Publication details: Apress 2022 New York.Edition: 2nd editionDescription: xxviii, 511 p.: ill,; 25 cmISBN:
  • 9781484290934
Subject(s): DDC classification:
  • 005.133 MAI
Summary: Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models.
Item type: Reference
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Reprint 2024.

Includes index

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models.

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