Exploratory Data Analysis: Descriptive Analysis, Visualization, and Dashboard Design (with Code Snippets in Python)
暫譯: 探索性資料分析:描述性分析、視覺化與儀表板設計(包含 Python 程式碼片段)
Nunes de Castro, Leandro
- 出版商: A K Peters
- 出版日期: 2025-11-07
- 售價: $2,540
- 貴賓價: 9.5 折 $2,413
- 語言: 英文
- 頁數: 322
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032939826
- ISBN-13: 9781032939827
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相關分類:
Python
海外代購書籍(需單獨結帳)
商品描述
This book is a comprehensive guide to exploratory data analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration. Throughout the seven main chapters, this book details various aspects of EDA, from data description and preprocessing to visualization, storytelling, and dashboard design. We will explore real-world datasets, uncovering hidden patterns and gaining insights along the way. This book is filled with illustrations using practical examples, Python codes, and different types of exercises designed to reinforce the concepts and processes discussed. Whether you are a student just starting out in the field of data science, a senior professional looking to improve your skills, or a curious individual interested in the power of data, this book is for you.
商品描述(中文翻譯)
這本書是一本全面的探索性資料分析(Exploratory Data Analysis, EDA)指南,為讀者提供進行有效且徹底的資料探索所需的工具、技術和知識。在七個主要章節中,本書詳細介紹了EDA的各個方面,從資料描述和預處理到視覺化、故事講述和儀表板設計。我們將探索真實世界的資料集,揭示隱藏的模式並獲得見解。本書充滿了使用實際範例、Python 代碼和各種設計用來加強所討論概念和過程的練習的插圖。無論您是剛開始接觸資料科學的學生、希望提升技能的資深專業人士,還是對資料的力量感到好奇的個人,這本書都適合您。
作者簡介
Leandro Nunes de Castro is an Electrical Engineer by the Federal University of Goiás (1996), holds a Master's degree in Electrical Engineering (1998) and a Ph.D. in Computer Engineering (2001), both from Unicamp, Brazil. He also has an MBA in Strategic Business Management from the Catholic University of Santos (2008). He was a Research Associate at the Computing Laboratory of the University of Kent in Canterbury from June 2001 to May 2002, a Visiting Professor at the Technological University of Malaysia in September 2005, a Visiting Specialist Professor at Unicamp between March and June 2012, and a Visiting Researcher at the University of Salamanca between January and July 2014. Leandro was a professor and researcher with the Master's Program in Informatics at Unisantos from 2003 to 2008, and a professor and researcher with the Graduate Program in Electrical Engineering and Computing at Mackenzie Presbyterian University from 2008 to 2022. His main lines of research are Natural Computing and Machine Learning, with applications in Intelligent Data Analysis and Optimization. Leandro N. de Castro is the main author of the book "Artificial Immune Systems: A New Computational Intelligence Approach" (Springer-Verlag, 2002); one of the organizers of "Recent Developments in Biologically Inspired Computing" (Idea Group Publishing, 2004); author of "Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications" (CRC Press, 2006), author of the book "Natural Computing: An Illustrated Journey" (Livraria da Física, 2010), organizer of the book "Nature-Inspired Computing Design, Development, and Application" (IGI-Global, 2012) and main author of the book "Introduction to Data Mining: Basic Concepts, Algorithms and Applications" (In Portuguese, Saraiva, 2016). He was the proponent and Editor-in-Chief of the International Journal of Natural Computing Research (IJNCR) between 2010 and 2015, published by IGI-Global. His research work has been recognized globally since 2020 as among the 2% most influential researchers in the world based on scientific impact indices monitored by PLoS Biology. Leandro has published over 250 papers in journals and conferences. His scholarly contributions also include founding two research laboratories and serving as Research Chair and as the Chief Innovation and Entrepreneurship Officer at Mackenzie. In addition to his academic achievements, Leandro is also a successful entrepreneur. He has participated in the founding of three Artificial Intelligence startups and invested, as an angel investor, in other three. Some of the notable startups he has been involved with include Tuilux, a company that offered intelligent recommendation services to e-commerce, and Somma.ai, a low/no code data science platform that allows the building of highly complex analytical applications without having to program. Currently, Leandro is a Full Professor at the Florida Gulf Coast University (FGCU) in the Department of Computing & Software Engineering, US, and the Director of DENDRITIC: A Human-Centered Artificial Intelligence and Data Science Institute at FGCU.
作者簡介(中文翻譯)
Leandro Nunes de Castro 是戈亞斯聯邦大學的電機工程師(1996年),擁有電機工程碩士學位(1998年)和計算機工程博士學位(2001年),兩者均來自巴西的坎皮納斯州立大學(Unicamp)。他還擁有聖塔卡塔利娜大學的戰略商業管理MBA(2008年)。他曾於2001年6月至2002年5月擔任肯特大學計算實驗室的研究助理,於2005年9月擔任馬來西亞科技大學的訪問教授,於2012年3月至6月擔任坎皮納斯州立大學的訪問專家教授,並於2014年1月至7月擔任薩拉曼卡大學的訪問研究員。Leandro曾於2003年至2008年擔任聖塔卡塔利娜大學資訊碩士課程的教授和研究員,並於2008年至2022年擔任麥肯錫基督教大學電機工程與計算研究生課程的教授和研究員。他的主要研究方向是自然計算和機器學習,應用於智能數據分析和優化。Leandro N. de Castro是《人工免疫系統:一種新的計算智能方法》(Springer-Verlag,2002年)的主要作者;《生物啟發計算的最新發展》(Idea Group Publishing,2004年)的組織者之一;《自然計算的基本原理:基本概念、算法和應用》(CRC Press,2006年)的作者;《自然計算:插圖之旅》(Livraria da Física,2010年)的作者;《自然啟發計算設計、開發與應用》(IGI-Global,2012年)的組織者;以及《數據挖掘導論:基本概念、算法和應用》(葡萄牙語,Saraiva,2016年)的主要作者。他是《國際自然計算研究期刊》(IJNCR)的倡導者和主編,該期刊於2010年至2015年由IGI-Global出版。自2020年以來,他的研究工作在全球範圍內被認可為科學影響指數中排名前2%的最具影響力研究人員之一,該指數由PLoS Biology監測。Leandro已在期刊和會議上發表了超過250篇論文。他的學術貢獻還包括創立兩個研究實驗室,並擔任麥肯錫的研究主席及首席創新與創業官。除了學術成就外,Leandro還是一位成功的企業家。他參與創立了三家人工智能初創公司,並作為天使投資者投資了另外三家。他參與的一些知名初創公司包括Tuilux,這是一家為電子商務提供智能推薦服務的公司,以及Somma.ai,這是一個低/無代碼數據科學平台,允許在不需要編程的情況下構建高度複雜的分析應用程序。目前,Leandro是美國佛羅里達州海灣海岸大學(FGCU)計算與軟體工程系的全職教授,並擔任FGCU人本人工智能與數據科學研究所DENDRITIC的主任。