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R For Marketing Research and Analytics (Use R!),New
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The 2nd edition of R for Marketing Research and Analytics continues to be the best place to learn R for marketing research. This bookis a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Handson chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis.Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choicebased conjoint analysis.With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.The 2nd edition increases the books utility for students and instructors with the inclusion of exercises and classroom slides. At the same time, it retains all of the features that make it a vital resource for practitioners: nonmathematical exposition, examples modeled on real world marketing problems, intuitive guidance on research methods, and immediately applicable code.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the focus of 'R For Marketing Research and Analytics'? A: The book focuses on teaching the R programming language specifically for marketing research and analytics, covering both basic and advanced statistical techniques.
- Q: Is this book suitable for beginners? A: Yes, it is suitable for beginners as it presumes only an introductory knowledge of statistics and includes hands-on chapters to help readers interact with R from the start.
- Q: What topics are covered in this book? A: Core topics include the R language, basic statistics, linear modeling, data visualization, logistic regression, customer segmentation, and more advanced methodologies like Bayesian models.
- Q: How many pages does the book contain? A: The book contains 507 pages.
- Q: Is there any mathematical content in the book? A: The book aims for a non-mathematical exposition, focusing on conceptual understanding while minimizing complex mathematics.
- Q: What edition is this book? A: This is the second edition published on April 8, 2019.
- Q: Who is the author of the book? A: The author of the book is Chris Chapman.
- Q: Does the book include exercises for practice? A: Yes, the second edition includes exercises and classroom slides to enhance learning.
- Q: What is the condition of the book when purchased? A: The book is sold as 'New'.
- Q: Can this book help improve R skills for marketing applications? A: Yes, it provides guidance for analysts looking to develop or improve their R skills specifically for marketing applications.