R Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages
暫譯: R 數據科學快速參考：API、函式庫與套件的口袋指南

Mailund, Thomas

R Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages
  • 出版商: Apress
  • 出版日期: 2019-08-08
  • 售價: $1,760
  • 貴賓價: 9.5 折 $1,672
  • 語言: 英文
  • 頁數: 140
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484248937
  • ISBN-13: 9781484248935
  • 相關分類: R 語言、Data Science

    • 已過版

相關主題

商品描述

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, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, 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.

What You Will Learn

  •  
  • 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.

商品描述(中文翻譯)

在這本實用的書中，您將簡明扼要地涵蓋每個概念，並提供許多示例。您將接觸到幾個 R 數據科學套件，並學習如何使用它們的示例。
在本書中，您將了解以下專門處理數據科學應用的 API 和套件：readr、forcats、forecasts、lubridate、stringr、tidyr、magrittr、dplyr、purrr、ggplot2、modelr 等等。
使用這本便捷的快速參考指南後，您將擁有在 R 程式語言中編寫基於數據科學的應用程式所需的代碼、API 和見解。您還將能夠進行數據分析。

**您將學到什麼**

- 使用 readr 匯入數據
- 使用 forcats 處理類別，使用 lubridate 處理時間和日期，使用 stringr 處理字串
- 使用 tidyr 格式化數據，然後使用 magrittr 和 dplyr 轉換該數據
- 使用 R 編寫數據科學、數據挖掘和分析應用的函數
- 使用 ggplot2 可視化數據，並使用 modelr 將數據擬合到模型中

**本書適合誰閱讀**
本書適合對 R 的數據科學、數據挖掘和分析套件感興趣的程式設計師。建議具備一些 R 的基本編碼經驗。

作者簡介

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.

作者簡介(中文翻譯)

托馬斯·梅倫（Thomas Mailund）是丹麥奧胡斯大學（Aarhus University）的副教授。他擁有數學和計算機科學的背景。在過去十年中，他的主要研究重點是遺傳學和進化研究，特別是比較基因組學、物種形成以及新興物種之間的基因流動。他與Apress出版了《Beginning Data Science in R》、《Functional Programming in R》和《Metaprogramming in R》等書籍，以及其他書籍。

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