Visualization for Social Data Science by Roger Beecham (.ePUB)+

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File Size: 74.58 MB

Visualization for Social Data Science by Roger Beecham
Requirements: .ePUB, .PDF reader, 74.58 MB
Overview: Visualization for Social Data Science provides end-to-end skills in visual data analysis. The book demonstrates how data graphics and modern statistics can be used in tandem to process, explore, model and communicate data-driven social science. It is packed with detailed data analysis examples, pushing you to do visual data analysis. As well as introducing, and demonstrating with code, a wide range of data visualizations for exploring patterns in data, Visualization for Social Data Science shows how models can be integrated with graphics to emphasise important structure and de-emphasise spurious structure and the role of data graphics in scientific communication — in building trust and integrity. Many of the book’s influences are from data journalism, as well as information visualization and cartography. Visualization toolkits such as ggplot2, vega-lite and Tableau have been designed to ease the process of generating data graphics for analysis. All data collection, analysis and reporting activity will be completed using the open source statistical programming environment R. Of particular importance is the Tidyverse. This is a set of packages for doing data science authored by the software development team at Posit. Tidyverse packages share a principled underlying philosophy, syntax and documentation. Contained within the tidyverse is its data visualization package, ggplot2. This package predates the tidyverse and is one of the most widely-used toolkits for generating data graphics.
Genre: Non-Fiction > Tech & Devices

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