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Sinopsis
1. Introduction
2. Importing Data: readr
3. Representing Tables: tibble
4. Reformatting Tables: tidyr
5. Pipelines: magrittr
6. Functional Programming: purrr
7. Manipulating Data Frames: dplyr
8. Working with Strings: stringr
9. Working with Factors: forcats
10. Working with Dates: lubridate
11. Working with Models: broom and modelr
12. Plotting: ggplot2
13. Conclusions
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Thomas Mailund is an associate professor at Aarhus University, Denmark. He has a background in math and computer science. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species. He has published Beginning Data Science in R, Functional Programming in R, and Metaprogramming in R with Apress as well as other books.
De la contraportada
In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them.
In this book, you'll learn about the following APIs and packages that deal specifically with data science applications: readr, tibble, forcates, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, broom, knitr, shiny, and more.
After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis.
You will:
- Get started with RMarkdown and notebooks
- Import data with readr
- Work with categories using forcats, time and dates with lubridate, and strings with stringr
- Format data using tidyr and then transform that data using magrittr and dplyr
- Write functions with R for data science, data mining, and analytics-based applications
- Visualize data with ggplot 2 and data fit for models using modelr and broom
- Report results with markdown, knitr, shiny, and more
"Sobre este título" puede pertenecer a otra edición de este libro.
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R Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
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R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
Librería: SN Books Ltd, Thetford, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
paperback. Condición: Very Good. Orders shipped daily from the UK. Professional seller. Nº de ref. del artículo: mon0000473023
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R Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 246 pages. 9.50x6.50x0.75 inches. In Stock. Nº de ref. del artículo: __1484248937
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R Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 246 pages. 9.50x6.50x0.75 inches. In Stock. Nº de ref. del artículo: zk1484248937
Cantidad disponible: 1 disponibles