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R for data science : import, tidy, transform, visualize, and model data /
Autor principal: | |
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Otros Autores: | |
Formato: | Libro |
Lenguaje: | English |
Publicado: |
Sebastopol, CA :
O'Reilly,
2016.
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Edición: | First edition. |
Materias: |
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.