Exploring Data Science with R and the Tidyverse: A Concise Introduction
暫譯: 使用 R 和 Tidyverse 探索資料科學：簡明介紹
Bonnell, Jerry, Ogihara, Mitsunori
- 出版商: CRC
- 出版日期: 2023-08-14
- 售價: $3,580
- 貴賓價: 9.5 折 $3,401
- 語言: 英文
- 頁數: 476
- 裝訂: Quality Paper - also called trade paper
- ISBN: 103234170X
- ISBN-13: 9781032341705
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相關分類:
R 語言、Data Science
海外代購書籍(需單獨結帳)
商品描述
This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows without needing to reference extensive amounts of external resources for onboarding. The contents are targeted for undergraduate students but are equally applicable to students at the graduate level and beyond. The book develops concepts using many real-world examples to motivate the reader.
Upon completion of the text, the reader will be able to:
- Gain proficiency in R programming
- Load and manipulate data frames, and "tidy" them using tidyverse tools
- Conduct statistical analyses and draw meaningful inferences from them
- Perform modeling from numerical and textual data
- Generate data visualizations (numerical and spatial) using ggplot2 and understand what is being represented
An accompanying R package "edsdata" contains synthetic and real datasets used by the textbook and is meant to be used for further practice. An exercise set is made available and designed for compatibility with automated grading tools for instructor use.
商品描述(中文翻譯)
這本書介紹了如何使用 R 和 tidyverse 進行資料科學。讀者不需要具備大學程度的程式設計或數學（例如，微積分或統計學）的先備知識。這本書是自成一體的，因此讀者可以立即開始建立資料科學工作流程，而無需參考大量外部資源進行入門。內容主要針對大學本科生，但同樣適用於研究生及以上的學生。書中使用許多真實世界的範例來發展概念，以激勵讀者。
完成本書後，讀者將能夠：
- 精通 R 程式設計
- 載入和操作資料框，並使用 tidyverse 工具進行「整理」
- 進行統計分析並從中得出有意義的推論
- 從數值和文本資料中進行建模
- 使用 ggplot2 生成資料視覺化（數值和空間），並理解所表示的內容
隨書附帶的 R 套件 'edsdata' 包含了教科書中使用的合成和真實數據集，旨在用於進一步的練習。還提供了一組練習題，設計上與自動評分工具兼容，供教師使用。
作者簡介
Jerry Bonnell is a Ph.D. candidate in Computer Science at the University of Miami, and a University of Miami Fellow. His research areas include Machine Learning and Natural Language Processing. His research targets domain experts in Digital Humanities (DH) and is shown in publications in Digital Scholarship in the Humanities, Digital Humanities Quarterly, and the ACL Special Interest Group on Language Technologies for the Socio-Economic Sciences and Humanities (LaTeCH-CLfL). He also teaches the undergraduate-level course "Data Science for the World" at the University of Miami.
Mitsunori Ogihara is a Professor of Computer Science at the University of Miami, Coral Gables, Florida, USA, and is the Director of its Master of Science in Data Science program. He received his Ph.D. in Information Sciences from Tokyo Institute of Technology, Tokyo, Japan. He is an author/co-author/co-editor of four books and has published more than 200 peer-reviewed journals and conference papers. He serves on the editorial board for a few academic journals, including Theory of Computing Systems, Springer, for which he is the Editor-in-Chief.
作者簡介(中文翻譯)
Jerry Bonnell 是邁阿密大學計算機科學的博士候選人，也是邁阿密大學的研究員。他的研究領域包括機器學習（Machine Learning）和自然語言處理（Natural Language Processing）。他的研究針對數位人文（Digital Humanities, DH）領域的專家，並已在《數位人文學術》（Digital Scholarship in the Humanities）、《數位人文季刊》（Digital Humanities Quarterly）以及 ACL 社會經濟科學與人文學科語言技術特別興趣小組（Language Technologies for the Socio-Economic Sciences and Humanities, LaTeCH-CLfL）等出版物中發表。他還在邁阿密大學教授本科課程「世界數據科學」（Data Science for the World）。
Mitsunori Ogihara 是邁阿密大學（美國佛羅里達州科勒蓋布爾）的計算機科學教授，並擔任其數據科學碩士課程的主任。他在日本東京工業大學獲得信息科學博士學位。他是四本書籍的作者/合著者/編輯，並已發表超過200篇經過同行評審的期刊和會議論文。他還擔任幾本學術期刊的編輯委員會成員，包括《計算系統理論》（Theory of Computing Systems），並擔任該期刊的主編。
