R for data science : import, tidy, transform, visualize, and model data /
"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"--
Guardado en:
| Autores Principales: | , |
|---|---|
| Formato: | Libro |
| Idioma: | English |
| Publicado: |
Sebastopol, CA :
O'Reilly,
2016.
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| Edición: | First edition. |
| Materias: | |
| Etiquetas: |
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Tabla de Contenidos:
- Part I. Explore. Data visualization with ggplot2
- Workflow: basics
- Data transformation with dplyr
- Workflow: scripts
- Exploratory data analysis
- Workflow: projects
- Part II. Wrangle. Tibbles with tibble
- Data import with readr
- Tidy data with tidyr
- Relational data with dplyr
- Strings with stringr
- Factors with forcats
- Dates and times with lubridate
- Part III. Program. Pipes with magrittr
- Functions
- Vectors
- Iteration with purrr
- Part IV. Model. Model basics with modelr
- Model building
- Many models with purrr and broom
- Part V. Communicate. R Markdown
- Graphics for communication with ggplot2
- R Markdown formats
- R Markdown workflow.