Tidyverse Skills for Data Science in R
Overview & Synopsis
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.
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Document Information
| Document Title | Tidyverse Skills for Data Science in R |
|---|---|
| Author / Organization | Carrie Wright, Shannon E. Ellis, Stephanie C. Hicks, and Roger D. Peng |
| Subject & Discipline | R Programming, Data Science and Data Engineering, Data Analysis and Data Mining, Information Retrieval (IR) and Search Engines |
| Categories | R Programming |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-91309 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |