Beginning Data Science in R Data Analysis, Visualization, and Modelling for the Data Scientist

✍ Scribed by Mailund, Thomas

Publisher: Apress
Year: 2017
Tongue: English
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Résumé : Presenting best practices for data analysis and software development in R, this comprehensive book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. --

✦ Table of Contents

Introduction to R programming. 2. Reproducible analysis. 3. Data manipulation. 4. Visualizing and exploring data. 5. Working with large data sets.6. Supervised learning. 7. Unsupervised learning. 8. More R programming.9. Advanced R programming.10. Object oriented programming.11. Building an R package.12. Testing and checking. 13. Version control. 14. Profiling and optimizing.

✦ Subjects

Bases de données;Livres numériques;Technologie de l'information;Livres électroniques;Bases de données;Livres numériques

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