{"product_id":"visualization-for-social-data-science-paperback","title":"Visualization for Social Data Science - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRoger Beecham\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003e\u003cb\u003e\"This is an important book on an important topic. I particularly like the examples showing different visualizations of the same data and the parallel presentation of graphics and code. And I absolutely love the chapter on visual storytelling. I can't wait to use this book in my classes.\"\u003c\/b\u003e\u003c\/i\u003e- Andrew Gelman, Department of Statistics and Department of Political Science, Columbia University, New York\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003e\"A book that gives learners the inspiration, knowledge and worked examples to create cutting edge visualisations of their own.\"\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e- \u003c\/i\u003eJames Cheshire, Professor of Geographic Information and Cartography, University College London\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVisualization for Social Data Science\u003c\/b\u003e 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, this book 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.\u003c\/p\u003e\u003cp\u003e Each chapter introduces statistical and graphical ideas for analysis, underpinned by real social science datasets. Those ideas are then implemented via principled, step-by-step, workflows in the programming environment R.\u003c\/p\u003e\u003cp\u003eKey features include: \u003c\/p\u003e\u003cp\u003e- Extensive real-world data sets and data analysis scenarios in Geography, Public Health, Transportation, Political Science;\u003c\/p\u003e\u003cp\u003e- Code examples fully-integrated into main text, with code that builds in complexity and sophistication;\u003c\/p\u003e\u003cp\u003e- Quarto template files for each chapter to support literate programming practices;\u003c\/p\u003e\u003cp\u003e- Functional programming examples, using tidyverse, for generating empirical statistics (bootstrap resamples, permutation tests) and working programmatically over model outputs;\u003c\/p\u003e\u003cp\u003e- Unusual but important programming tricks for generating sophisticated data graphics such as network visualizations, dot-density maps, OD maps, glyphmaps, icon arrays, hypothetical outcome plots and graphical line-ups plots. Every data graphic in the book is implemented via ggplot2.\u003c\/p\u003e\u003cp\u003e- Chapters on uncertainty visualization and data storytelling that are uniquely accompanied with detailed, worked examples.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRoger Beecham\u003c\/b\u003e is Associate Professor of Visual Data Science at University of Leeds School of Geography and Director of Research \u0026amp; Innovation at Leeds Institute for Data Analytics. He has published award-winning methodological work in data visualization, statistical practice and applied social science. He has taught visual data analysis for many years - to undergraduate and postgraduate students, experienced academics and data analysis professionals.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 206\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.46 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 05, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":67687997276262,"sku":"9781032259710","price":138.39,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0599\/7255\/0758\/files\/QNOW2yXR8L9781032259710.webp?v=1791759150","url":"https:\/\/infinitylightwa.com\/products\/visualization-for-social-data-science-paperback","provider":"Infinity Light","version":"1.0","type":"link"}