R for Political Data Science

Francisco Urdinez

ISBN 10: 0367818892 / ISBN 13: 9780367818890

Edité par CRC Press Nov 2020, 2020

A propos de cet article

This item is printed on demand - it takes 3-4 days longer - Neuware -R for Political Data Science: A Practical Guide 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.Key features:Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in RMakes extensive use of the Tidyverse, the group of packages that has revolutionized the use of RProvides a step-by-step guide that you can replicate using your own dataIncludes exercises in every chapter for course use or self-studyFocuses on practical-based approaches to statistical inference rather than mathematical formulaeSupplemented by an R package, including all dataAs the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions. 460 pp. Englisch.

N° de réf. du vendeur 9780367818890

Détails bibliographiques

• Titre: R for Political Data Science
• Éditeur: CRC Press Nov 2020
• Date de parution: 2020
• Langue: anglais
• ISBN à 10 chiffres: 0367818892
• ISBN à 13 chiffres: 9780367818890
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 254 L x 178 H x 25 P (en millimètres) 254 millimètres de largeur par 178 millimètres de hauteur par 25 millimètres de profondeur
• Poids: 1007 grammes

A propos de ce titre

Synopsis

This book 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.

À propos de l?auteur

This book is edited by Francisco Urdinez, Assistant Professor at the Institute of Political Science of the Pontifical Catholic University of Chile, and Andrés Cruz, Adjunct Instructor at the same institution. Most of the authors who contributed with chapters to this volume are political scientists affiliated to the Institute of Political Science of the Pontifical Catholic University of Chile, and many are researchers and collaborators of the Millennium Data Foundation Institute, an institution that aims at gathering, cleaning and analyzing public data to support public policy. Andrew Heiss is affiliated to Georgia State University Andrew Young School of Policy Studies and he joined this project contributing with a chapter on causal inference. Above all, all the authors are keen users of R.