Data and Process Visualisation for Graphic Communication: A Hands-On Approach with Python
Bianconi, Francesco
相關主題
商品描述
This book guides the reader through the process of graphic communication with a particular focus on representing data and processes. It considers a variety of common graphic communication scenarios among those that arise most frequently in practical applications.
The book is organized in two parts: representing data (Part I) and representing processes (Part II). The first part deals with the graphical representation of data. It starts with an introductory chapter on the types of variables, then guides the reader through the most common data visualization scenarios - i.e.: representing magnitudes, proportions, one variable as a function of the other, groups, relations, bivariate, trivariate and geospatial data. The second part covers various tools for the visual representation of processes; these include timelines, flow-charts, Gantt charts and PERT diagrams. In addition, the book also features four appendices which cover cross-chapter topics: mathematics and statistics review, Matplotlib primer, color representation and usage, and representation of geospatial data.
Aimed at junior and senior undergraduate students in various technical, scientific, and economic fields, this book is also a valuable aid for researchers and practitioners in data science, marketing, entertainment, media and other fields.
商品描述(中文翻譯)
本書引導讀者通過圖形溝通的過程，特別關注數據和過程的表示。它考慮了各種常見的圖形溝通場景，其中包括在實際應用中最常出現的場景。
本書分為兩部分：數據表示（第一部分）和過程表示（第二部分）。第一部分涉及數據的圖形表示。它從介紹變量類型的章節開始，然後引導讀者通過最常見的數據可視化場景，例如表示大小、比例、一個變量作為另一個變量的函數、組、關係、雙變量、三變量和地理空間數據。第二部分介紹了各種用於過程可視化的工具，包括時間軸、流程圖、甘特圖和PERT圖。此外，本書還包括四個附錄，涵蓋跨章節的主題：數學和統計復習、Matplotlib入門、顏色表示和使用以及地理空間數據的表示。
本書針對各種技術、科學和經濟領域的大學三年級和四年級本科生，同時也是數據科學、市場營銷、娛樂、媒體和其他領域的研究人員和從業人員的寶貴輔助工具。
作者簡介
Francesco Bianconi is Associate Professor of Design Tools and Methods in Industrial Engineering in the Department of Engineering at the University of Perugia, Italy. He has held visiting positions at the University of Vigo (Spain), the University of East Anglia (UK), Queen Mary University of London (UK) and City University of London (UK). He conducts research on computer vision, image processing and pattern recognition with a particular focus on texture and color analysis for industrial and biomedical applications. Francesco is an IEEE senior member, chartered Engineer and court-appointed expert.
作者簡介(中文翻譯)
Francesco Bianconi是義大利佩魯賈大學工程學系的設計工具和方法副教授。他曾在西班牙的維戈大學、英國的東安格利亞大學、倫敦玛丽女王大学和倫敦城市大學擔任訪問學者。他的研究領域包括計算機視覺、圖像處理和模式識別，尤其關注工業和生物醫學應用中的紋理和顏色分析。Francesco是IEEE高級會員、特許工程師和法庭指定專家。
