
R For Marketing Research and Analytics
by Chris Chapman, Elea McDonnell Feit
2nd Edition
Publisher: Springer
Book Details
| Print ISBN | 9783030143152 |
| eText ISBN | 9783030143169 |
| Publisher | Springer |
| Publishing Year | 2019 |
| Edition | 2nd Edition |
| Language | English |
| Pages | 487 |
R For Marketing Research and Analytics, 2nd Edition, is a textbook designed to introduce R to marketing research practitioners and data scientists. The text presents statistical models conceptually with minimal mathematics, assuming only an introductory knowledge of statistics.
Core foundational coverage focuses on the R language, basic statistics, linear modeling, and data visualization as an integrated part of analysis. Later chapters explore advanced methods, including customer segmentation, market basket analysis, and conjoint analysis.
Hands-on chapters prompt readers to work directly in R from the beginning. In addition, the volume presents accessible Bayesian models alongside traditional techniques for analysis of variance, linear models, and conjoint analysis.
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