Modern Data Visualization with R
暫譯: 使用 R 進行現代數據視覺化
Kabacoff, Robert
- 出版商: CRC
- 出版日期: 2024-03-29
- 售價: $6,710
- 貴賓價: 9.5 折 $6,375
- 語言: 英文
- 頁數: 256
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 103228949X
- ISBN-13: 9781032289496
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相關分類:
Data-visualization
海外代購書籍(需單獨結帳)
相關主題
商品描述
Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It starts with basic graphs such as bar charts, scatter plots, and line charts, but progresses to less well-known visualizations such as tree maps, alluvial plots, radar charts, mosaic plots, effects plots, correlation plots, biplots, and the mapping of geographic data. Both static and interactive graphics are described and the use of color, shape, shading, grouping, annotation, and animations are covered in detail. The book moves from a default look and feel for graphs, to graphs with customized colors, fonts, legends, annotations, and organizational themes.
Features:
- Contains a wide breadth of graph types including newer and less well-known approaches
- Connects each graph type to the characteristics of the data and the goals of the analysis
- Moves the reader from simple graphs, describing one variable, to building visualizations that describe complex relationships among many variables
- Newer approaches to creating interactive web graphics via JavaScript libraries
- Details how to customize each graph type to meet users' needs and those of their audiences
- Gives methods for creating visualizations that are publication ready for print (in color or black and white) and the web
- Suggests best practices
- Offers examples from a wide variety of fields
It is written for those new to data analysis as well as the seasoned data scientist. It can be used for both teaching and research. It will particularly appeal to anyone who needs to describe data visually and wants to find and emulate the most appropriate method quickly. The reader should have some basic coding experience, but expertise in R is not required. Some of the later chapters (e.g., visualizing statistical models) assume exposure to statistical inference at the level of analysis of variance and regression.
商品描述(中文翻譯)
《現代數據視覺化與 R》描述了將原始數據和摘要數據轉換為能夠傳達有意義見解的視覺化的多種方法。書中從基本圖形開始，例如條形圖、散佈圖和折線圖，但逐漸進入較不為人知的視覺化方法，如樹狀圖、漸進圖、雷達圖、馬賽克圖、效果圖、相關圖、雙變量圖以及地理數據的映射。書中詳細描述了靜態和互動圖形，並深入探討了顏色、形狀、陰影、分組、註解和動畫的使用。這本書從圖形的預設外觀和感覺開始，逐步過渡到具有自定義顏色、字體、圖例、註解和組織主題的圖形。
特點：
- 包含各種圖形類型，包括較新和不太知名的方法
- 將每種圖形類型與數據的特徵和分析的目標相連接
- 引導讀者從描述單一變量的簡單圖形，進而建立描述多個變量之間複雜關係的視覺化
- 介紹通過 JavaScript 庫創建互動式網頁圖形的新方法
- 詳細說明如何自定義每種圖形類型以滿足用戶及其受眾的需求
- 提供創建適合出版的視覺化方法（彩色或黑白）以及網頁的建議
- 建議最佳實踐
- 提供來自各個領域的範例
本書適合數據分析新手以及經驗豐富的數據科學家。它可用於教學和研究，特別適合需要以視覺方式描述數據並希望快速找到和模仿最合適方法的讀者。讀者應具備一些基本的編碼經驗，但不需要精通 R 語言。某些後面的章節（例如，視覺化統計模型）假設讀者對統計推斷有一定的了解，至少達到變異數分析和回歸的水平。
作者簡介
Robert Kabacoff is a data scientist with more than 30 years of experience in multivariate statistical methods, data visualization, predictive analytics, and psychometrics. A widely recognized expert in statistical programming, he is the author of R in Action: Data Analysis and Graphics with R (3rd ed.), and the popular Quick-R (www.statmethods.net) website. Dr. Kabacoff is also the co-author of Evaluating Research Articles from Start to Finish (3rd ed.), a textbook that uses a case-study approach to help students learn to read and evaluate empirical research.
Dr. Kabacoff earned his BA in psychology from the University of Connecticut and his PhD in clinical psychology from the University of Missouri-St. Louis. Following a postdoctoral fellowship in family research at Brown University, he joined the faculty at the Center for Psychological Studies at Nova Southeastern University, achieving the position of full professor in 1997. For 19 years, Dr. Kabacoff held the position of Vice President of Research for a global organizational development firm, providing research and consultation to academic, government, corporate, and humanitarian institutions in North America, Western Europe, Africa, and Asia. He is currently a professor of the practice in quantitative analysis at the Hazel Quantitative Analysis Center at Wesleyan University, teaching courses in exploratory data analysis, machine learning, and statistical software development.
作者簡介(中文翻譯)
羅伯特·卡巴科夫是一位數據科學家，擁有超過30年的多變量統計方法、數據可視化、預測分析和心理測量的經驗。作為統計編程的廣泛認可專家，他是R in Action: Data Analysis and Graphics with R (第3版)的作者，以及受歡迎的Quick-R（www.statmethods.net）網站的創建者。卡巴科夫博士也是Evaluating Research Articles from Start to Finish (第3版)的共同作者，這本教科書採用案例研究的方法，幫助學生學習閱讀和評估實證研究。
卡巴科夫博士在康涅狄格大學獲得心理學學士學位，並在密蘇里州聖路易斯大學獲得臨床心理學博士學位。在布朗大學完成家庭研究的博士後研究後，他加入了新南方大學心理學研究中心的教職，並於1997年晉升為正教授。在19年間，卡巴科夫博士擔任一家全球組織發展公司的研究副總裁，為北美、西歐、非洲和亞洲的學術、政府、企業和人道主義機構提供研究和諮詢服務。目前，他是衛斯理大學哈澤量化分析中心的量化分析實踐教授，教授探索性數據分析、機器學習和統計軟體開發等課程。
