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 presently works at RStudio. Data analysis, he believes, is a largely untapped source of value for both industry and science. Garrett earned his Ph.D. at Hadley Wickham's group at Rice University, where his study traced the beginnings of data analysis as a cognitive process and identified how attentional and epistemological concerns influence all data analysis.
Learn how to use R to transform raw data into insight, knowledge, and comprehension. Among the best books on data science, R for Data Science will teach you to R, RStudio, and the tidyverse, a set of R programs that work together to make data science quick, fluent, and enjoyable. R for Data Science is intended for readers with no prior programming expertise 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, examining, modeling, and communicating the outcomes of your data. You'll receive a comprehensive, big-picture grasp of the data science cycle, as well as the fundamental tools you'll need to manage the specifics. 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.
- Program—learn powerful R tools for solving data problems with greater clarity and ease
- Explore—examine your data, generate hypotheses, and quickly test them
- Model—create a low-dimensional description of your dataset's true "signals."
- Communicate—learn R Markdown for integrating prose, code, and results.
Author: Hadley Wickham and Garrett Grolemund
Link to buy: https://www.amazon.com/dp/1491910399
Ratings: 4.7 out of 5 stars (from 1320 reviews)
Best Sellers Rank: #21,420 in Books
#4 in Mathematical & Statistical Software
#6 in Statistics (Books)
#12 in Data Processing
