09 gen 2017

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data eBook: Hadley Wickham, Garrett Grolemund

Descrizione del libro

Learn how to use R to turn raw data into insight,
knowledge, and understanding. This book introduces you to R, RStudio,
and the tidyverse, a collection of R packages designed to work together
to make data science fast, fluent, and fun. Suitable for readers with no
previous programming experience, R for Data Science is designed to get
you doing data science as quickly as possible.

Authors Hadley
Wickham and Garrett Grolemund guide you through the steps of importing,
wrangling, exploring, and modeling your data and communicating the
results. You’ll get a complete, big-picture understanding of the data
science cycle, along with basic tools you need to manage the details.
Each section of the book is paired with exercises to help you practice
what you’ve learned along the way.

You’ll learn how to:

  • Wrangle—transform your datasets into a form convenient for analysis
  • 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—provide a low-dimensional summary that captures true "signals" in your dataset
  • Communicate—learn R Markdown for integrating prose, code, and results


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

Garrett is passionate about helping
people avoid the frustration and unnecessary learning he went through
while mastering data analysis. Even before he finished his dissertation,
he started teaching corporate training in R and data analysis for
Revolutions Analytics. He's taught at Google, eBay, Axciom and many
other companies, and is currently developing a training curriculum for
RStudio that will make useful know-how even more accessible.

of teaching, Garrett spends time doing clinical trials research, legal
research, and financial analysis. He also develops R software, he's
co-authored the lubridate R package--which provides methods to parse,
manipulate, and do arithmetic with date-times--and wrote the ggsubplot
package, which extends the ggplot2 package.
Wickham is an Assistant Professor and the Dobelman FamilyJunior Chair in
Statistics at Rice University. He is an active memberof the R
community, has written and contributed to over 30 R packages, and won
the John Chambers Award for Statistical Computing for his work
developing tools for data reshaping and visualization. His research
focuses on how to make data analysis better, faster and easier, with a
particular emphasis on the use of visualization to better understand
data and models.

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