R for Data Science
by Hadley Wickham , Garrett Grolemund
Editor: O’Reilly Media, Inc, USA
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Learn to use R to transform raw data into strategic information, knowledge and understandingThis book introduces R, RStudio, and the Tidyverse, a collection of R packages designed to work together to make data science fast, smooth and fun.Suitable for readers with no programming experience, the R for Data Science is designed to make you data science as fast as possibleAuthors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, quarrels, exploring and modeling your data and communicating the resultsYou will get an overview and understanding of the science of cycle data, with basic tools you need to manage the detailsEach section of the book is coupled with exercises to put into practice what you have learned along the wayYou’ll learn to: Battle-transform your data sets into a convenient form for program analysis-learn powerful R tools to solve data problems with greater clarity and ease of exploration to examine your data, generate hypotheses, and quickly test the Model to provide a small summary dimension that captures true “signals” in your data set from Communicate-Know R Markdown for integration of prose, code, and results
Hadley Wickham , Garrett Grolemund – R for Data Science – Free
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