{"product_id":"r-for-political-data-science-9780367818838","title":"R for Political Data Science","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eR for Political Data Science: A Practical Guide\u003c\/strong\u003e is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis.\u003c\/p\u003e\u003cb\u003e\u003c\/b\u003e\u003cp\u003eKey features:\u003c\/p\u003e\u003cul\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eEach chapter has the most up-to-date and simple option available for each task, assuming minima\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"Urdinez and Cruz provide a thorough and pedagogically sound introduction to working with political science data in R, complete with modern R code to reproduce every figure and analysis presented. The breadth of statistics and data science methods presented in the book is impressive. The datasets used in examples are real, contemporary, and engaging, which makes the book accessible to anyone interested in quantitative approaches in political science.\" \u003cbr\u003e- \u003cb\u003eMine Çetinkaya-Rundel\u003c\/b\u003e, \u003ci\u003eUniversity of Edinburgh, Duke University, and RStudio.\u003c\/i\u003e\u003c\/p\u003e\n\u003cp\u003e\"This book is a great resource for students learning methods as well as for researchers migrating to R. The volume introduces a wide range of topics, including foundations of R, conventional statistical models, text analysis, networks, maps, and web mining. And there is more! The examples based on Latin America make the book substantively interesting and enjoyable.\"\u003cbr\u003e- \u003cstrong\u003eAníbal Pérez-Liñán\u003c\/strong\u003e, \u003cem\u003eUniversity of Notre Dame\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\"As others who lacked the capacity to work in R, I was lagging behind regarding my capacity to produce cutting edge empirical analyses for my research. This textbook and its applied pedagogy and examples, significantly reduced the costs of catching up. I highly recommend it, both as a textbook and as a guideline for anyone interested in learning R on their own.\"\u003cbr\u003e- \u003cstrong\u003eJuan Pablo Luna\u003c\/strong\u003e, \u003cem\u003ePontificia Universidad Católica de Chile\u003c\/em\u003e\"With its tutorial approach\u003ci\u003e, R for Political Data Science\u003c\/i\u003e builds readers’ R literacy without assuming any prior experience with the language. By the end, your practical political data science toolkit will be well-stocked, you will be more motivated to take the next step and study the mathematical underpinnings of the methods discussed throughout, and using R professionally will no longer feel like a pipe dream (pun intended!).\"\u003cbr\u003e- \u003cstrong\u003eSantiago Olivella\u003c\/strong\u003e,\u003cem\u003e University of North Carolina – Chapel Hill\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e\"If you have a background in Political Science, this is THE BOOK you need to start your journey into R. Using up-to-date tools, this book guides you step-by-step through the process of translating data analysis into political questions. \u003ci\u003eR for Political Data Science \u003c\/i\u003enot only covers a wide range of techniques and R packages, but also uses Latin American datasets that make the topics covered interesting for a broader audience.\"\u003cbr\u003e- \u003cb\u003eRiva Quiroga\u003c\/b\u003e, co-founder of R-Ladies Santiago and R-Ladies Valparaíso, editor of \u003cem\u003eThe Programming Historian\u003c\/em\u003e and chair of the Latin-R Conference\u003c\/p\u003e\n\u003cp\u003e\"The monograph belongs to The R Series, and presents a reference textbook on R language with a semester course on statistics with application to estimations on real political data...Each chapter suggests references on the recent sources, exercises, and links to numerous websites with data, packages and other R facilities. The book is convenient as a textbook for students, and is equally helpful for researcher and practitioners. The main material in the book consists of R codes, that supplies the readers with amazingly useful tools of modeling not only in political but in a wider area of applied social and other sciences, wherever the statistical analysis is required.\"\u003cbr\u003e- \u003cstrong\u003eStan Lipovetsky\u003c\/strong\u003e, \u003cem\u003eTechnometrics\u003c\/em\u003e, April 2021\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eI Introduction to R\u003cbr\u003e1. Basic R\u003cbr\u003e2. Data Management\u003cbr\u003e3. Data Visualization\u003cbr\u003e4. Data Loading\u003c\/p\u003e\n\u003cp\u003eII Models\u003cbr\u003e5. Linear Models\u003cbr\u003e6. Case Selection Based on Regressions\u003cbr\u003e7. Panel Data\u003cbr\u003e8. Logistic Models\u003cbr\u003e9. Survival Models\u003cbr\u003e10. Causal Inference\u003c\/p\u003e\n\u003cp\u003eIII Applications\u003cbr\u003e11. Advanced Political Data Management\u003cbr\u003e12. Web Mining\u003cbr\u003e13. Quantitative Analysis of Political Texts\u003cbr\u003e14. Networks\u003cbr\u003e15. Principal Component Analysis\u003cbr\u003e16. Maps and Spatial Data\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":51018077045079,"sku":"9780367818838","price":45.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780367818838.jpg?v=1750775558","url":"https:\/\/bookcurl.com\/products\/r-for-political-data-science-9780367818838","provider":"Book Curl","version":"1.0","type":"link"}