Beginning data science in R : data analysis, visualization, and modelling for the data scientist / Thomas Mailund.
By: Mailund, Thomas [author.].
Publisher: [Berkeley, California] : Apress, [2017]Description: xxvii, 352 pages : illustrations ; 26 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781484226704.Subject(s): R (Computer program language) | Quantitative research | Computer software -- Development | COMPUTERS / Databases | COMPUTERS / Programming Languages | Computer software -- Development | Quantitative research | R (Computer program language)Genre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | QA276.45.R3 M349 2017 (Browse shelf) | Available | AU00000000012696 |
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| QA276.45.R3 H37 2014 A primer in biological data analysis and visualization using R / | QA276.45 .R3 K33 2022 R in action : data analysis and graphics with R and Tidyverse / | QA276.45.R3 K44 2018 Texts in statistical science : graphics for statistics and data analysis with R / | QA276.45.R3 M349 2017 Beginning data science in R : data analysis, visualization, and modelling for the data scientist / | QA276.45.R3 S7413 2012 R for statistics / | QA276.45.R3 S75 2017 Advanced analytics with R and Tableau advanced visual analytical solutions for your business / | QA276.45.R3 S75 2018 Statistics with R : a beginner's guide / |
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.