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Titlebook: Data and Process Visualisation for Graphic Communication; A Hands-on Approach Francesco Bianconi Book 2024 The Editor(s) (if applicable) a

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書目名稱Data and Process Visualisation for Graphic Communication
副標(biāo)題A Hands-on Approach
編輯Francesco Bianconi
視頻videohttp://file.papertrans.cn/264/263255/263255.mp4
概述Guides the reader through the process of graphic communication with a focus on representing data and processes.Provides numerous example implementations based on Python with a particular focus on Matp
圖書封面Titlebook: Data and Process Visualisation for Graphic Communication; A Hands-on Approach Francesco Bianconi Book 2024 The Editor(s) (if applicable) a
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
出版日期Book 2024
關(guān)鍵詞Data Visualization; Graphic Communication; Python Programming; Process Visualization; Matplotlib; Seaborn
版次1
doihttps://doi.org/10.1007/978-3-031-57051-3
isbn_softcover978-3-031-57050-6
isbn_ebook978-3-031-57051-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Hierarchical I3D for?Sign Spottingdistribution of all the observations in a quantitative dataset is essential to gain a better understanding of its shape, center, and spread. This chapter presents different approaches for visualizing frequency distributions: histogram plots, dot diagrams, pyramid plots, and area charts.
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Ryan Wong,Necati Cihan Camg?z,Richard Bowdenow from one class/entity to another. In this type of chart there is one measure (the amount of flow between the classes/entities) and one or more dimensions that define the classes. This chapter introduces two specific tools for representing relations: . and ..
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Girish Kumar Solanki,Anastasios Roussosace-typically country, region, province, and/or other boundaries-but in some cases also cities, rivers, and other such landmarks. The chapter introduces and discusses four tools for representing geospatial data: ., ., ., and ..
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One Variable as a Function of the Othere on the .-axis of the chart and the dependent one on the .-axis. The function . can be given as an algebraic expression or, more commonly, as a list of (., .) pairs. The chapter presents two different tools for visualizing one variable as a function of the other: line charts and slope charts.
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