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

Описание: In *“R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (2nd Edition)”* by *Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund**, you’ll learn how to turn raw data into meaningful insights using **R* and **RStudio**. This hands-on guide introduces you to the **tidyverse**—a powerful collection of R packages that make data science efficient, intuitive, and enjoyable.

Even if you’re new to programming, this updated edition walks you step-by-step through the data science workflow: from *importing and cleaning data**, to **transforming and visualizing it**, and finally **communicating your results* effectively. You’ll explore how to pull data from spreadsheets, databases, and even websites, and apply best practices for modern data analysis.

Through practical examples and exercises, you’ll master key skills to:

*Visualize* data with clear, informative plots
*Transform* and clean data for analysis
*Import* data from multiple sources
*Program* efficiently with R to solve real-world problems
*Communicate* insights seamlessly with Quarto

This book is your essential guide to becoming fluent in R and understanding the full data science cycle—from raw data to clear, impactful communication.


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