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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Detalles Bibliográficos
Otros Autores: Steif, Ken, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press 2021.
Edición:1st ed
Colección:Chapman & Hall/CRC data science series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009669528806719
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.
Notas:Includes index.
Descripción Física:1 online resource (229 pages)
ISBN:9781003054658
9781000401615
9781000401578