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Titlebook: Data Visualisation with R; 100 Examples Thomas Rahlf Book 20171st edition Springer International Publishing AG 2017 Statistical Software.Vi

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楼主: Carter
发表于 2025-3-23 09:48:44 | 显示全部楼层
Includes step-by-step explanations of the programming of fig.This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time
发表于 2025-3-23 14:27:36 | 显示全部楼层
Computer Communications and Networksre diagrams in maps, and finally so-called choropleth maps, in which the areas within the maps illustrate the information. Finally, we consider two relevant examples that cannot be assigned to the above-mentioned categories.
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https://doi.org/10.1007/978-3-319-49751-8Statistical Software; Visualization Application Domains; Visualisation Toolkits; Data Visualisation; R(L
发表于 2025-3-24 01:50:12 | 显示全部楼层
Springer International Publishing AG 2017
发表于 2025-3-24 04:55:24 | 显示全部楼层
Swagata Roy,Nirupam ChakrabortiR provides comprehensive ways for the design of statistical illustrations. However, it is sometimes still sensible to use two additional programs to complement processing of the figures: LaTeX and Inkscape. Both programs are freely available under open-source licences.
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发表于 2025-3-24 12:25:25 | 显示全部楼层
Beyond RR provides comprehensive ways for the design of statistical illustrations. However, it is sometimes still sensible to use two additional programs to complement processing of the figures: LaTeX and Inkscape. Both programs are freely available under open-source licences.
发表于 2025-3-24 18:46:14 | 显示全部楼层
发表于 2025-3-24 22:58:56 | 显示全部楼层
Structure and Technical Requirementserception of graphics will be followed by a definition of graphic elements using schematic overviews that we call the “styling pattern”, based on the term used in graphic design. Then follow explanations of important “ancillary elements” for figures, the used typefaces and symbols, as well as colour.
发表于 2025-3-25 02:12:29 | 显示全部楼层
Implementation in R Some packages offer more than a thousand functions. Some functions, such as the par() function so important for our topic, can receive more than 80 arguments. At the beginning, a system like this appears as hard to negotiate as a jungle or a maze.
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