- Mastering Data Analysis with R
- Table of Contents
- Mastering Data Analysis with R
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Hello, Data!
- 2. Getting Data from the Web
- 3. Filtering and Summarizing Data
- 4. Restructuring Data
- 5. Building Models (authored by Renata Nemeth and Gergely Toth)
- 6. Beyond the Linear Trend Line (authored by Renata Nemeth and Gergely Toth)
- 7. Unstructured Data
- 8. Polishing Data
- 9. From Big to Small Data
- 10. Classification and Clustering
- 11. Social Network Analysis of the R Ecosystem
- 12. Analyzing Time-series
- 13. Data Around Us
- 14. Analyzing the R Community
- A. References
- General good readings on R
- Chapter 1 – Hello, Data!
- Chapter 2 – Getting Data from the Web
- Chapter 3 – Filtering and Summarizing Data
- Chapter 4 – Restructuring Data
- Chapter 5 – Building Models (authored by Renata Nemeth and Gergely Toth)
- Chapter 6 – Beyond the Linear Trend Line (authored by Renata Nemeth and Gergely Toth)
- Chapter 7 – Unstructured Data
- Chapter 8 – Polishing Data
- Chapter 9 – From Big to Smaller Data
- Chapter 10 – Classification and Clustering
- Chapter 11 – Social Network Analysis of the R Ecosystem
- Chapter 12 – Analyzing Time-series
- Chapter 13 – Data Around Us
- Chapter 14 – Analysing the R Community
- Index
The loaded R package versions (in the order mentioned in the chapter):
- sqldf 0.4-10 (CRAN)
- hflights 0.1 (CRAN)
- dplyr 0.4.1 (CRAN)
- data.table 1.9.4. (CRAN)
- plyr 1.8.2 (CRAN)
- microbenchmark 1.4-2 (CRAN)
Further reading:
- The data.table manuals, vignettes and other documentation at https://github.com/Rdatatable/data.table/wiki/Getting-started
- Introduction to dplyr, vignette at https://cran.rstudio.com/web/packages/dplyr/vignettes/introduction.html
-
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