Modern data science with R
著者
書誌事項
Modern data science with R
（Texts in statistical science）
Chapman & Hall/CRC, 2021
Second edition
- : hbk
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注記
Includes bibliographical references and indexes
内容説明・目次
内容説明
Accessible to a general audience with some background in statistics and computing
Many examples and extended case studies
Illustrations using R and Rstudio
A true blend of statistics and computer science -- not just a grab bag of topics from each
目次
I Part I: Introduction to Data Science. 1. Prologue: Why data science? 2. Data visualization. 3. A grammar for graphics. 4. Data wrangling on one table. 5. Data wrangling on multiple tables. 6. Tidy data. 7. Iteration. 8. Data science ethics. II. Part II: Statistics and Modeling. 9. Statistical foundations. 10. Predictive modeling. 11. Supervised learning. 12. Unsupervised learning. 13. Simulation. III Part III: Topics in Data Science. 14. Dynamic and customized data graphics. 15. Database querying using SQL. 16. Database administration. 17. Working with spatial data. 18.Geospatial computations. 19. Text as data. 20. Network science. IV Part IV: Appendices.
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