Public policy analytics : code and context for data science in government
- Boca Raton : CRC Press 2022
- xxi, 206 p.; ill. 24 cm
- Data science series .
Includes bibliographical references and index.
Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand 'spatial process' and develop spatial analytics; how to develop 'useful' predictive analytics; how to convey these outputs to non-technical decision-makers through the medium of data visualization; and why, ultimately, data science and 'Planning' are one and the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data analytics and public policy, as well as readers who wish to understand how algorithms will affect the future of government
9780367507619
United States Politics and government--Data processing Political planning--Data processing Data visualization Human-computer interaction Machine theory Bid-rent model Centroids Confusion matrix Cross-validation Explotory analysis Facet -map Goodness of fit Hedonic model Kernel density Bid-rent model Urban growth area Monte Carlo method No-churn Palette5 Plot theme Regression Risk terrain modeling Scale-fill-manual Tidy census Tidyverse Spatial thinking