R for Data Science: Import, Tidy, Transform, Visualize, and Model Data pdf

Hadley Alexander Wickham (born 14 October 1979) is a statistician from New Zealand and Chief Scientist at RStudio Inc. and an adjunct Professor of statistics at the University of Auckland, Stanford University, and Rice University.[9] He is best known for his development of open-source software for the R statistical programming language for data visualisation, including ggplot2,and other tidyverse packages, which support a tidy data approach to data science.

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data pdf by Hadley Wickham

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