Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|
Anna Centenary Library 3RD FLOOR, A WING | 05.133 MAI (Browse shelf(Opens below)) | Not for loan | 679587 |
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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