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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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Steif, Ken (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, 2021.
Colección:Chapman & Hall/CRC data science series
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Descripción Física:1 online resource illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:1000401618
9781003054658
100305465X
9781000401578
100040157X
9781000401615