Beginning data science in R 4 :data analysis, visualization, and modelling for the data scientist /
Published by : Apress (USA) Physical details: xxviiI, 511 pages : illustrations ; 26 cm ISBN:9781484281543; 9781484226704; 9781484226711; 1484226712.
Book
| Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| Riara University Library General stack | QA276.45.R3M349 2022 (Browse shelf (Opens below)) | C.1 | Available | 10784/25 | ||
| Riara University Library General stack | QA276.45.R3M349 2022 (Browse shelf (Opens below)) | C.2 | Available | 10785/25 |
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Includes index.
Introduction to R programming -- Reproducible analysis -- Data manipulation -- Visualizing data -- Working with large datasets -- Supervised learning -- Unsupervised learning -- More R programming -- Advanced R programming -- Object oriented programming -- Building an R package -- Testing and package checking -- Version control -- Profiling and optimizing.
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. -- Provided by publisher.
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