R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Paperback)
暫譯: R 語言與資料科學:匯入、整理、轉換、視覺化與建模資料 (平裝本)

Hadley Wickham, Garrett Grolemund

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商品描述

Learn how to use R to turn raw data into insight, knowledge, and understanding. 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, R for Data Science is designed to get you doing data science as quickly as possible.

Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way.

You’ll learn how to:

  • Wrangle—transform your datasets into a form convenient for analysis
  • Program—learn powerful R tools for solving data problems with greater clarity and ease
  • Explore—examine your data, generate hypotheses, and quickly test them
  • Model—provide a low-dimensional summary that captures true "signals" in your dataset
  • Communicate—learn R Markdown for integrating prose, code, and results

商品描述(中文翻譯)

學習如何使用 R 將原始數據轉化為洞察、知識和理解。本書將介紹 R、RStudio 以及 tidyverse,這是一組設計為協同工作的 R 套件,旨在使數據科學變得快速、流暢且有趣。適合沒有任何程式設計經驗的讀者,《R for Data Science》旨在讓您儘快開始進行數據科學。

作者 Hadley Wickham 和 Garrett Grolemund 將指導您進行數據的導入、整理、探索和建模,並傳達結果。您將全面了解數據科學循環的全貌,以及管理細節所需的基本工具。本書的每個部分都配有練習,幫助您在學習過程中實踐所學。

您將學會如何:

- **整理** — 將數據集轉換為便於分析的形式
- **編程** — 學習強大的 R 工具,以更清晰和輕鬆的方式解決數據問題
- **探索** — 檢查您的數據,生成假設並快速測試
- **建模** — 提供一個低維度的摘要,捕捉數據集中真正的「信號」
- **傳達** — 學習 R Markdown,整合文本、代碼和結果