R for data science: Import, tidy, transform, visualize, and model data
Wickham, H.; Grolemund, G. (2017). R for data science: Import, tidy, transform, visualize, and model data. O'Reilly Media: Sebastopol. ISBN 978-1-491-91039-9. 492 pp.
Related to:Grolemund, G. (2014). Hands-on programming with R: Write your own functions and simulations. O'Reilly Media: Sebastopol. ISBN 978-1-449-35901-0. 232 pp., more
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| Available in | Authors |
- VLIZ: Modelling, programming and statistics [106694]
- VLIZ: Modelling, programming and statistics [106695]
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| Authors | | Top |
- Wickham, H.
- Grolemund, G.
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| Abstract |
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 for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. |
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