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

R for Data Science Import Tidy Transform Visualize and Model Data 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 d

  • Title: R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
  • Author: Hadley Wickham Garrett Grolemund
  • ISBN: null
  • Page: 500
  • Format: Kindle Edition
  • 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 pLearn 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 analysisProgram learn powerful R tools for solving data problems with greater clarity and easeExplore examine your data, generate hypotheses, and quickly test themModel provide a low dimensional summary that captures true signals in your datasetCommunicate learn R Markdown for integrating prose, code, and results

    • R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham Garrett Grolemund
      500 Hadley Wickham Garrett Grolemund
    • thumbnail Title: R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham Garrett Grolemund
      Posted by:Hadley Wickham Garrett Grolemund
      Published :2019-08-19T08:16:35+00:00

    About " Hadley Wickham Garrett Grolemund "

  • Hadley Wickham Garrett Grolemund

    Hadley Wickham Garrett Grolemund Is a well-known author, some of his books are a fascination for readers like in the R for Data Science: Import, Tidy, Transform, Visualize, and Model Data book, this is one of the most wanted Hadley Wickham Garrett Grolemund author readers around the world.

  • 364 Comments

  • What a great bookI am an architect that got into studying data analysis as kind of a weird mid-life crisis. After some Coursera classes and a few books, I am really starting to finally understand R. But, this books and the Tidyverse set of packages is a game changer. So much more clear and intuitive. I highly recommend this book! Buy it.


  • The new bible for RHadley Wickham transformed how we use R and accelerated its capabilities by a large margin. His work has been condensed into a single package called "tidyverse" which introduces tools that range from data transformation to data presentation. While his new book R for Data Science is written for beginners, even experienced users will find many resources that will make them better at R. This is because (clumsy) base packages are rarely used.If you use R, you must have read this b [...]


  • I'm still not convinced I want to switch over from being an R-core person to a tidyR person. But, for the sake of the shortcourse I helped build, I "loved it for thirty minutes." Doing that reminded me how much I love pipes, and I learned how amazingly easy it is to perform graph faceting is with ggplot.If you're just starting out with R, start here. It's going to give you the tools you need to do the work you want, and it'll train your brain to think in a way that aligns your data with your goa [...]


  • Finally, a good book on R that doesn't presume you are a stats buff. This book actually doesn't presume anything about you, and is written very clearly and with the right amount of to-the-point examples to get you going. I don't know how much my previous familiarity with R based on various other books and resources helped me get into the groove with this one, but R for Data Science by Hadley Wickham and Garrett Grolemund definitely taught me something I didn't know before in the least amount of [...]


  • I think Hadley's contributions to `R` have been amazing, even staggering. It's good to see that he's taken all of the ideas of the `tidyverse` world and put them into a written format. If you've used `R` in the past but mainly use base functions then this will be a great refresher for you. If you're new to the world of `R` then this book will give you a solid foundation of how to get started.


  • The digital version of this book is free! It was a nice surprise to find in the introduction, as it makes referencing the text while working a little easier. I'll give the preface that I do not have a data science or statistics background and simply picked up the book to learn a skill that I figured would be useful. Now I'm not sure if it's a skill I want to use. Nevertheless, the authors should be proud of what they've accomplished here. The writing are easy to understand, the discussion is ord [...]


  • Initially I read this book to get acquainted with the Tidyverse, but it turns out that this book is so much more than that. Some functions in the Tidyverse aren't anything cool - they're just wrappers around base R functions, to make them more readable, consistent, and easier to use. Indeed the reason why it took me so long to decide to convert to Tidyverse is that I have lived pretty well with base R so far for data manipulation (except I use ggplot2 and reshape2). What's more than Tidyverse in [...]


  • Hadley Wickham’s has created the guide to R. If you’re new to R, this book is a wonderful introduction. If you’re a regular R user, this book is great for those little details you wish to double check. If you’re returning to R after some time away, this book is a brilliant refresher course.The one thing I will say, for those who are new to R, is that some elements of this can be a bit daunting when you first dive in. With R, it takes a while before you’re confident in your knowledge, a [...]


  • Un grande libro utilissimo per chi vuole avvicinarsi ed approfondire il software R ed i molti packages dedicati alla produzione di grafici ed analisi. Hadley Wickham è un genio.A must have book for anyone who wants to understand the basic approach to R and the packages included. Hadley Wickham is a a genius. Surely there are some paragraphs not so clear but this depends also by what specific application you are involved in your reasearch field. With this book and a lot of exercises you can have [...]


  • Should be the main references for learning R. This book is really good at showing you the ropes for using R. Since R has many dated packages, this books points you to the ones you should be using. This book doesn't go to much into R statistical usage, it gives you all the tools to explore, transform, visualize date prior to getting there.


  • I think that this is probably the best intermediate-level book on R with respect to overall data analysis workflows. It is more than just a quick how-to guide; it represents a complete philosophy of data analysis instantiated in computer coding practices.


  • A must read book for every data scientistsIf I can only choose one data science book to read, then I will choose R for data science. It teach your the elegant way to do data science.


  • This book is like a filtered down set of help files. There are a few sentences that are actually helpful, but the rest of the book is terminology, questions without answers. It almost feels like a mad scientist shared his notebook with us. Not very helpful. Maybe I just needed a decoder ring.




  • A great resource explaining the "tidyverse" suite of packages for R. This definitely made my programming more concise. It also help make coding easier, and easier to communicate information.





  • This is my new go-to book when someone asks me for an introduction to R.It teaches 'modern' R in form of the tidyverse (sometimes Hadleyverse), the set of packages the author has written that essentially replace most of the basic functionality of R. The tidyverse is logically coherent, someone actually sat down and thought things through - basic R grew over decades and it shows, many hands don't make a coherent structure.The book follows a logical 'story', starting with 1) data exploration, impo [...]


  • An excellent introduction to R. Very clear and with excellent examples to motivate you to complete the books. It doesn't bother you with complex computer science details that aren't part of analysis. Much better than ALL the other online courses I have taken.


  • I’m using the online version of this, here. I haven’t read this one cover to digital cover, but worked my way through most all of the chapters and expect to be continually returning to it as a reference work and as I find myself needing guidance on specific functions that I skimmed over initially. My first introduction to R was actually another online book (still in draft form, and doesn’t appear to be on yet) — Data Visualization for Social Science by Kieran Healy. My previous attempts [...]


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