Tidyverse Skills for Data Science in R
Minimum price
Suggested price

Tidyverse Skills for Data Science in R

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.

About the Authors

Carrie Wright
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

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

Roger D. Peng
Roger D. Peng

Roger D. Peng is a Professor of Statistics and Data Sciences at the University of Texas, Austin. Previously, he was Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. His research focuses on the development of statistical methods for addressing environmental health problems and on developing tools for doing better data analysis. He is the author of the popular book R Programming for Data Science and 10 other books on data science and statistics. He is also the co-creator of the Johns Hopkins Data Science Specialization, the Simply Statistics blog where he writes about statistics for the public, the Not So Standard Deviations podcast with Hilary Parker, and The Effort Report podcast with Elizabeth Matsui. 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. He can be found on Twitter and GitHub at @rdpeng.

Table of Contents

  • 1. Introduction to the Tidyverse
    • About This Course
    • Tidy Data
    • From Non-Tidy –> Tidy
    • The Data Science Life Cycle
    • The Tidyverse Ecosystem
    • Data Science Project Organization
    • Data Science Workflows
    • Case Studies
  • 2. Importing Data in the Tidyverse
    • About This Course
    • Tibbles
    • Spreadsheets
    • CSVs
    • TSVs
    • Delimited Files
    • Exporting Data from R
    • JSON
    • XML
    • Databases
    • Web Scraping
    • APIs
    • Foreign Formats
    • Images
    • googledrive
    • Case Studies
  • 3. Wrangling Data in the Tidyverse
    • About This Course
    • Tidy Data Review
    • Reshaping Data
    • Data Wrangling
    • Working With Factors
    • Working With Dates and Times
    • Working With Strings
    • Working With Text
    • Functional Programming
    • Exploratory Data Analysis
    • Case Studies
  • 4. Visualizing Data in the Tidyverse
    • About This Course
    • Data Visualization Background
    • Plot Types
    • Making Good Plots
    • Plot Generation Process
    • ggplot2: Basics
    • ggplot2: Customization
    • Tables
    • ggplot2: Extensions
    • Case Studies
  • 5. Modeling Data in the Tidyverse
    • About This Course
    • The Purpose of Data Science
    • Types of Data Science Questions
    • Data Needs
    • Descriptive and Exploratory Analysis
    • Inference
    • Linear Modeling
    • Multiple Linear Regression
    • Beyond Linear Regression
    • More Statistical Tests
    • Hypothesis Testing
    • Prediction Modeling
    • The tidymodels Ecosystem
    • Case Studies
    • Summary of tidymodels
  • About 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.

Now, this is technically risky for us, since you'll have the book or course files either way. But we're so confident in our products and services, and in our authors and readers, that we're happy to offer a full money back guarantee for everything we sell.

You can only find out how good something is by trying it, and because of our 100% money back guarantee there's literally no risk to do so!

So, there's no reason not to click the Add to Cart button, is there?

See full terms...

80% Royalties. Earn $16 on a $20 book.

We pay 80% royalties. That's not a typo: you earn $16 on a $20 sale. If we sell 5000 non-refunded copies of your book or course for $20, you'll earn $80,000.

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

In fact, authors have earnedover $13 millionwriting, 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