R for Data Science

By Hadley Wickham, Garrett Grolemund,

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

Book description

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R…

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Why read it?

1 author picked R for Data Science as one of their favorite books. Why do they recommend it?

For those intending to use R with an eye on the popular 'Tidyverse' suite of packages – which facilitate the handling, manipulation, and visualisation of data setsit's hard to go past this book. From the founding contributors of the RStudio/Tidyverse worlds, this is a great way to learn about this dialect of R against the overarching backdrop of statistical data analysis and data science.

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