Ohri, A
R for Business Analytics
Table of contents
1. Why R
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2. R Infrastructure
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3. R Interfaces
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4. Manipulating Data
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5. Exploring Data
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6. Building Regression Models
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7. Data Mining Using R
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8. Clustering and Data Segmentation
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9. Forecasting and Time Series Models
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10. Data Export and Output
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11. Optimizing R Code
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12. Additional Training Literature
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13. Appendix
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Keywords: Statistics, Statistics, general, Statistics for Business/Economics/Mathematical Finance/Insurance, Statistics and Computing/Statistics Programs
- Author(s)
- Ohri, A
- Publisher
- Springer
- Publication year
- 2013
- Language
- en
- Edition
- 2013
- Page amount
- 18 pages
- Category
- Natural Sciences
- Format
- Ebook
- eISBN (PDF)
- 9781461443438
