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.
Meer over de auteursR for Data Science
Import, Tidy, Transform, Visualize, and Model Data
Samenvatting
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
Specificaties
Over Garrett Grolemund
Inhoudsopgave
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
Index
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