R for Data Science

Hadley Wickham is a Rice University Assistant Professor and the Dobelman Family Junior Chair in Statistics. He is an active member of the R community, having written and contributed to over 30 R packages. He was awarded the John Chambers Award for Statistical Computing for his work developing data reshaping and visualization tools.

Garrett Grolemund is a R developer, statistician, and teacher who currently works for RStudio. Data analysis, he believes, is a largely untapped source of value for both industry and science. Garrett earned his Ph.D. in Hadley Wickham's lab at Rice University, where his research traced the origins of data analysis as a cognitive process and identified how attentional and epistemological concerns guide all data analysis.

Learn how to use R to transform raw data into insight, knowledge, and comprehension. R for Data Science, one of the best books on technology, will introduce you to R, RStudio, and the tidyverse, a collection of R packages that work together to make data science fast, fluent, and enjoyable. R for Data Science is intended for readers with no prior programming experience and is intended to get you started with data science as soon as possible.

Hadley Wickham and Garrett Grolemund walk you through the steps of importing, wrangling, exploring, modeling, and communicating the results of your data. You'll get a comprehensive, big-picture understanding of the data science cycle, as well as the fundamental tools you'll need to manage the details. Each section of the book is accompanied by exercises to help you put what you've learned into practice.

You'll discover how to:

• Wrangle - transform your datasets into an analysis-friendly format.
• Learn to use powerful R tools to solve data problems with greater clarity and ease.
• Examine your data, generate hypotheses, and test them quickly.
• Model - create a low-dimensional summary of your dataset's true "signals."
• Communicate - learn R Markdown to integrate prose, code, and results.

Author: Garrett Grolemund and Hadley Wickham

Link to buy: https://www.amazon.com/dp/1491910399/

Ratings: 4.7 out of 5 stars (from 128 reviews)

Best Sellers Rank: #19,552 in Books

#2 in Mathematical & Statistical Software

#6 in Data Processing

#23 in Probability & Statistics (Books)