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R for Data Science

Import, Tidy, Transform, Visualize, and Model Data

Paperback Engels 2017 9781491910399
Verkooppositie 5025
Op voorraad | Vandaag voor 21:00 uur besteld, morgen in huis


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.

You’ll learn how to:
- Wrangle—transform your datasets into a form convenient for analysis
- Program—learn powerful R tools for solving data problems with greater clarity and ease
- Explore—examine your data, generate hypotheses, and quickly test them
- Model—provide a low-dimensional summary that captures true "signals" in your dataset
- Communicate—learn R Markdown for integrating prose, code, and results


Aantal pagina's:494
Hoofdrubriek:IT-management / ICT


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Over Hadley Wickham

Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: elegant graphics for data analysis.

Andere boeken door Hadley Wickham

Over Garrett Grolemund

Garrett Grolemund is a statistician, teacher and R developer who currently works for RStudio. He sees data analysis as a largely untapped fountain of value for both industry and science. Garrett received his Ph.D at Rice University in Hadley Wickham's lab, where his research traced the origins of data analysis as a cognitive process and identified how attentional and epistemological concerns guide every data analysis. Garrett is passionate about helping people avoid the frustration and unnecessary learning he went through while mastering data analysis. Even before he finished his dissertation, he started teaching corporate training in R and data analysis for Revolutions Analytics. He's taught at Google, eBay, Axciom and many other companies, and is currently developing a training curriculum for RStudio that will make useful know-how even more accessible. Outside of teaching, Garrett spends time doing clinical trials research, legal research, and financial analysis. He also develops R software, he's co-authored the lubridate R package--which provides methods to parse, manipulate, and do arithmetic with date-times--and wrote the ggsubplot package, which extends the ggplot2 package.

Andere boeken door Garrett Grolemund



Part 1: Explore
1. Data Visualization with ggplot2
2. Workflow: Basics
3. Data Transformation with dplyr
4. Workflow: Scripts
5. Exploratory Data Analysis
6. Workflow: Projects

Part 2: Wrangle
7. Tibbles with tibble
8. Data Import with readr
9. Tidy Data with tidyr
10. Relational Data with dplyr
11. Strings with stringr
12. Factors with forcats
13. Dates and Times with lubridate

Part 3: Program
14. Pipes with magrittr
15. Functions
16. Vectors
17. Iteration with purrr

Part IV: Model
18. Model Basics with modelr
19. Model Building
20. Many Models with purrr and broom

Part V: Communicate
21. R Markdown
22. Graphics for Communication with ggplot2
23. R Markdown Formats
24. R Markdown Workflow


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