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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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton :
CRC Press
2021.
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| Edition: | 1st ed |
| Series: | Chapman & Hall/CRC data science series.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009669528806719 |
| 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. |
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| Item Description: | Includes index. |
| Physical Description: | 1 online resource (229 pages) |
| ISBN: | 9781003054658 9781000401615 9781000401578 |
