Leanpub Header

Skip to main content
Go to Leanpub.comLeanpub Store Events Authors Readers Organizations Services

Tidyverse Skills for Data Science in R

Develop insights from data with tidy tools. Import, wrangle, visualize, and model data with the Tidyverse R packages.

Develop insights from data with tidy tools. Import, wrangle, visualize, and model data with the Tidyverse R packages.

Minimum price

Free!

25ドル.00

You pay

Authors earn

$

Also available for 1 book credit with a Reader Membership

PDF
EPUB
780
Pages
About
  1. About
  2. Author
  3. Contents
Tidyverse Skills for Data Science in R

About

About the Book

This book is intended for data scientists with some familiarity with the R programming language who are seeking to do data science using the Tidyverse family of packages. Through 5 chapters, you will cover importing, wrangling, visualizing, and modeling data using the powerful Tidyverse packages, including the new Tidymodels framework. The Tidyverse packages provide a simple but powerful approach to data science which scales from the most basic analyses to massive data deployments. This book covers the entire life cycle of a data science project and presents specific tidy tools for each stage.

Share this book

Categories

Author

About the Authors

Roger D. Peng

Roger D. Peng is a Professor of Statistics and Data Sciences at the University of Texas at Austin. Previously, he was Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and the Co-Director of the Johns Hopkins Data Science Lab. He is the author of the popular book R Programming for Data Science and 10 other books on data science and statistics. Roger is a Fellow of the American Statistical Association and is the recipient of the Mortimer Spiegelman Award from the American Public Health Association, which honors a statistician who has made outstanding contributions to public health. Roger received a PhD in Statistics from the University of California, Los Angeles. His current research focuses on building analytic design theory for improving the quality of data analyses and on the development of statistical methods for addressing environmental health problems.

The Leanpub Podcast

Episode 16

An Interview with Roger D. Peng
Carrie Wright

Carrie Wright is a Senior Staff Scientist at the Fred hutchinson Cancer Center and a member of the Fred Hutchinson Data Science Lab. Previously Carrie was an Assistant Scientist in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and a faculty member of the Johns Hopkins Data Science Lab. Her work focuses on making data science and informatics more approachable and accessible. She is also a faculty member of the open case studies project, the Informatics Technology for Cancer Research (ITCR) Training Network (ITN), and a co-founder of the LIBD rstats club, a community designed to encourage others to learn more about R programming and statistics. Learn more about Carrie at https://carriewright11.github.io/.

Shannon Ellis

Shannon Ellis is an Associate Teaching Professor in the Cognitive Science Department at UC San Diego.

Contents

Table of Contents

1.Introduction to the Tidyverse

  1. About This Course
  2. Tidy Data
  3. From Non-Tidy –> Tidy
  4. The Data Science Life Cycle
  5. The Tidyverse Ecosystem
  6. Data Science Project Organization
  7. Data Science Workflows
  8. Case Studies

2.Importing Data in the Tidyverse

  1. About This Course
  2. Tibbles
  3. Spreadsheets
  4. CSVs
  5. TSVs
  6. Delimited Files
  7. Exporting Data from R
  8. JSON
  9. XML
  10. Databases
  11. Web Scraping
  12. APIs
  13. Foreign Formats
  14. Images
  15. googledrive
  16. Case Studies

3.Wrangling Data in the Tidyverse

  1. About This Course
  2. Tidy Data Review
  3. Reshaping Data
  4. Data Wrangling
  5. Working With Factors
  6. Working With Dates and Times
  7. Working With Strings
  8. Working With Text
  9. Functional Programming
  10. Exploratory Data Analysis
  11. Case Studies

4.Visualizing Data in the Tidyverse

  1. About This Course
  2. Data Visualization Background
  3. Plot Types
  4. Making Good Plots
  5. Plot Generation Process
  6. ggplot2: Basics
  7. ggplot2: Customization
  8. Tables
  9. ggplot2: Extensions
  10. Case Studies

5.Modeling Data in the Tidyverse

  1. About This Course
  2. The Purpose of Data Science
  3. Types of Data Science Questions
  4. Data Needs
  5. Descriptive and Exploratory Analysis
  6. Inference
  7. Linear Modeling
  8. Multiple Linear Regression
  9. Beyond Linear Regression
  10. More Statistical Tests
  11. Hypothesis Testing
  12. Prediction Modeling
  13. The tidymodels Ecosystem
  14. Case Studies
  15. Summary of tidymodels

About the Authors

Also by the Authors

Also by the Authors

The Leanpub 60 Day 100% Happiness Guarantee

Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.

See full terms...

Earn 8ドル on a 10ドル Purchase, and 16ドル on a 20ドル Purchase

We pay 80% royalties on purchases of 7ドル.99 or more, and 80% royalties minus a 50 cent flat fee on purchases between 0ドル.99 and 7ドル.98. You earn 8ドル on a 10ドル sale, and 16ドル on a 20ドル sale. So, if we sell 5000 non-refunded copies of your book for 20ドル, you'll earn 80,000ドル.

(Yes, some authors have already earned much more than that on Leanpub.)

In fact, authors have earned over 15ドル million writing, publishing and selling on Leanpub.

Learn more about writing on Leanpub

Free Updates. DRM Free.

If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).

Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.

Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.

Learn more about Leanpub's ebook formats and where to read them

Write and Publish on Leanpub

You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!

Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks.

Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. (Or, if you are producing your ebook your own way, you can even upload your own PDF and/or EPUB files and then publish with one click!) It really is that easy.

Learn more about writing on Leanpub

AltStyle によって変換されたページ (->オリジナル) /