R for business analytics
R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort an...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
New York, NY :
Springer New York
2013.
Cham : Springer Nature |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Anmerkung: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • R for business analytics, A. Ohri, 2012, New York, Springer, 1 vol. (XVIII-312 p.), 978-1-4614-4342-1 • R for Business Analytics, Texte imprimé, 9781461443445 • R for Business Analytics, Texte imprimé, 9781493942398 |
Inhaltsangabe:
- Why R
- R Infrastructure
- R Interfaces
- Manipulating Data
- Exploring Data
- Building Regression Models
- Data Mining using R
- Clustering and Data Segmentation
- Forecasting and Time-Series Models
- Data Export and Output
- Optimizing your R Coding
- Additional Training Literature
- Appendix.