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
Автор: Carrie Wright, Shannon Ellis, Stephanie Hicks, Roger D. Peng
Издательство: Leanpub
Год: 2021-09-03
Страниц: 780
Язык: английский
Формат: pdf (true)
Размер: 30.3 MB
Develop insights from data with tidy tools. Import, wrangle, visualize, and model data with the Tidyverse R packages. 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. This course introduces a powerful set of Data Science tools known as the Tidyverse. The Tidyverse has revolutionized the way in which data scientists do almost every aspect of their job. We will cover the simple idea of “tidy data” and how this idea serves to organize data for analysis and modeling.