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Titlebook: Data Visualisation with R; 111 Examples Thomas Rahlf Book 2019Latest edition Springer Nature Switzerland AG 2019 Statistical Software.Visua

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書(shū)目名稱(chēng)Data Visualisation with R
副標(biāo)題111 Examples
編輯Thomas Rahlf
視頻videohttp://file.papertrans.cn/264/263181/263181.mp4
概述Offers a comprehensive introduction to creating presentation graphics with R.Presents the complete code of 111 examples from various fields.Includes step-by-step explanations of the programming of fig
圖書(shū)封面Titlebook: Data Visualisation with R; 111 Examples Thomas Rahlf Book 2019Latest edition Springer Nature Switzerland AG 2019 Statistical Software.Visua
描述.This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming.?This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript..The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 14000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields..This book is intended for all kinds of R users, ranging from experts, for w
出版日期Book 2019Latest edition
關(guān)鍵詞Statistical Software; Visualization Application Domains; Visualisation Toolkits; Data Visualisation; R(L
版次2
doihttps://doi.org/10.1007/978-3-030-28444-2
isbn_softcover978-3-030-28446-6
isbn_ebook978-3-030-28444-2
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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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..In this book, we will use a very specific selection
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Regarding the Exampless with two or three “components” and differentiated non-quantitative and quantitative “problems” for each of these, in addition to “problems that contain more than three components”. William S. Cleveland does not base his semiology on the presentation, but on the data, and differentiates between uni
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Categorical Datased visualisations. Therefore, this is where we want to start. Sometimes though, one might want to also plot parameters that are located on a scale between two statements. In such cases, the use of a profile plot makes sense. If there are a lot of attributes in a bar chart and/or you want to plot se
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Mapshan 100 packages for processing of geo data. After introductory examples,we first distinguish between thosemaps that visualise points, icons or entire diagrams in maps, and finally so-called choroplethmaps, in which the areas within the maps illustrate the information. Finally, we consider two relev
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