

desertcart.com: R for Data Science: Import, Tidy, Transform, Visualize, and Model Data: 9781492097402: Wickham, Hadley, Cetinkaya-Rundel, Mine, Grolemund, Garrett: Books Review: Very helpful - Great resource Review: A library, must have… - Quintessential book about R and the Tidyverse! A must have in your library!














| Best Sellers Rank | #24,896 in Books ( See Top 100 in Books ) #4 in Mathematical & Statistical Software #8 in Data Processing #28 in Probability & Statistics (Books) |
| Customer Reviews | 4.8 4.8 out of 5 stars (183) |
| Dimensions | 7 x 1.25 x 9.25 inches |
| Edition | 2nd |
| ISBN-10 | 1492097403 |
| ISBN-13 | 978-1492097402 |
| Item Weight | 2.31 pounds |
| Language | English |
| Print length | 576 pages |
| Publication date | July 18, 2023 |
| Publisher | O'Reilly Media |
A**R
Very helpful
Great resource
T**R
A library, must have…
Quintessential book about R and the Tidyverse! A must have in your library!
R**.
Incredibly well written text
The content detail, coupled with the understandability of the information being presented, makes this an incredibly valuable foundational textbook!! Bayesian concepts had been a little confusing and hard to inculcate but this book presented these essential concepts in a way that made it easy to grasp. This is a must have book for anyone looking to learn or deepen their understanding in Bayesian statistics.
D**A
beginner friendly
great for beginners
E**U
worth the money - practical, easy to follow
R for Data Science is one of the most accessible and practical introductions to modern data analysis with R. The authors take you from raw data to polished insights using the tidyverse, explaining each concept with clarity and purpose. What makes the book exceptional is its hands‑on structure—every chapter gives you tools you can immediately apply, whether you're wrangling messy datasets, building visualizations, or designing reproducible workflows. It’s approachable for beginners yet still valuable for experienced analysts who want to sharpen their workflow and adopt cleaner, more elegant code patterns. If you want a book that teaches not just how to use R, but how to think like a data scientist, this is one of the best starting points.
H**.
R
Currently taking this course at the University of Louisville. Have a wonderful program and professor. I’m enjoying the book so far plus the curriculum.
M**L
Excellent
As usual from Wickham, book is excellent--very well written and very helpful.
C**A
Muy buena adquisición para estudio. Buen estado.
K**N
It's the best book for data wrangling and data visualization in R, even for intermediate R coders. You are bound to learn new details in most chapters, even if you think you don't. The cover of this book is misleading: do not expect this book to be about modeling. The authors explicitly mention in the introduction that modeling in R is left for another book. I suppose the book designers at O'Reilly didn't bother reading the book itself. The code samples in this book are of very good quality and are printed in color. The text itself reads nicely. The exercises are sometimes challenging but always doable.
P**R
This is our course text. Recommended by our instructor.
M**K
If you're looking for a book on data analytics using R, this is the one. Stop looking.
J**S
Con base a mi experiencia considero que es un excelente libro para adentrarte en el mundo de la programación bastante bien explicado y con ejemplos bastante sencillos. Si ya tienes experiencia programando considero que también es una excelente herramienta para comprender de manera fácil el Tidyverse.
S**E
asi de simple, es el mejor. Practico y desde la hoja 1 aprendes.
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