Public policy analytics code and context for data science in government

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 ind...

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Bibliographic Details
Main Author: Steif, Ken
Format: eBook
Language:English
Published: Boca Raton CRC Press 2021
Series:Chapman & Hall/CRC data science series
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:1 online resource illustrations
ISBN:9781000401578
100305465X
9781003054658
100040157X
9781000401615
1000401618