Exploring Data Science with R and the Tidyverse: A Concise Introduction

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.

本書介紹了使用R和tidyverse進行數據科學的方法。讀者無需具備大學程式設計或數學（如微積分或統計學）的先備知識。本書是自包含的，讀者可以立即開始建立數據科學工作流程，而無需參考大量外部資源進行入門。內容針對本科生，但同樣適用於研究生及以上學生。本書使用許多實際例子來引發讀者的興趣。

在完成本書後，讀者將能夠：
- 熟練使用R編程
- 載入和操作數據框，並使用tidyverse工具對其進行整理
- 進行統計分析並從中得出有意義的推論
- 從數值和文本數據進行建模
- 使用ggplot2生成數值和空間數據的視覺化圖表，並理解其所代表的意義

附帶的R包'edsdata'包含了教科書中使用的合成和真實數據集，可供進一步練習使用。還提供了一套練習題，並設計為與教師使用的自動評分工具兼容。

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.

Jerry Bonnell是邁阿密大學計算機科學博士候選人，也是邁阿密大學的研究員。他的研究領域包括機器學習和自然語言處理。他的研究對象是數位人文領域的專家，並在《數位人文學術研究》、《數位人文季刊》以及ACL語言技術特別興趣小組（LaTeCH-CLfL）的出版物中有所展示。他還在邁阿密大學教授本科課程《面向全球的數據科學》。

Mitsunori Ogihara是佛羅里達州邁阿密大學計算機科學教授，也是該校數據科學碩士課程的主任。他在東京工業大學獲得了信息科學博士學位。他是四本書的作者/合著者/編輯者，並發表了200多篇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，其中包括Springer的《計算系統理論》期刊，他是該期刊的主編。