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R Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages
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ISBN13: 9781484248935
Publisher: Apress
Published: Aug 8 2019
Pages: 246
Weight: 0.81
Height: 0.54 Width: 6.14 Depth: 9.21
Language: English
In this book, you'll learn about the following APIs and packages that deal specifically with data science applications: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.
- 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 ggplot2 and fit data to models using modelr
Who This Book Is For
Programmers new to R's data science, data mining, and analytics packages. Some prior coding experience with R in general is recommended.
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