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Working with the American Community Survey in R: a guide to using the acs package

This book serves as a hands-on guide to the "acs" R package for demographers, planners, and other researchers who work with American Community Survey (ACS) data. It gathers the most common problems associated with using ACS data and implements functions as a package in the R statistical pr...

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Detalles Bibliográficos
Autor principal: Glenn, Ezra Haber
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-45772-7
http://cds.cern.ch/record/2229621
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author Glenn, Ezra Haber
author_facet Glenn, Ezra Haber
author_sort Glenn, Ezra Haber
collection CERN
description This book serves as a hands-on guide to the "acs" R package for demographers, planners, and other researchers who work with American Community Survey (ACS) data. It gathers the most common problems associated with using ACS data and implements functions as a package in the R statistical programming language. The package defines a new "acs" class object (containing estimates, standard errors, and metadata for tables from the ACS) with methods to deal appropriately with common tasks (e.g., creating and combining subgroups or geographies, automatic fetching of data via the Census API, mathematical operations on estimates, tests of significance, plots of confidence intervals).
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spelling cern-22296212021-04-21T19:28:32Zdoi:10.1007/978-3-319-45772-7http://cds.cern.ch/record/2229621engGlenn, Ezra HaberWorking with the American Community Survey in R: a guide to using the acs packageMathematical Physics and MathematicsThis book serves as a hands-on guide to the "acs" R package for demographers, planners, and other researchers who work with American Community Survey (ACS) data. It gathers the most common problems associated with using ACS data and implements functions as a package in the R statistical programming language. The package defines a new "acs" class object (containing estimates, standard errors, and metadata for tables from the ACS) with methods to deal appropriately with common tasks (e.g., creating and combining subgroups or geographies, automatic fetching of data via the Census API, mathematical operations on estimates, tests of significance, plots of confidence intervals).Springeroai:cds.cern.ch:22296212016
spellingShingle Mathematical Physics and Mathematics
Glenn, Ezra Haber
Working with the American Community Survey in R: a guide to using the acs package
title Working with the American Community Survey in R: a guide to using the acs package
title_full Working with the American Community Survey in R: a guide to using the acs package
title_fullStr Working with the American Community Survey in R: a guide to using the acs package
title_full_unstemmed Working with the American Community Survey in R: a guide to using the acs package
title_short Working with the American Community Survey in R: a guide to using the acs package
title_sort working with the american community survey in r: a guide to using the acs package
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-45772-7
http://cds.cern.ch/record/2229621
work_keys_str_mv AT glennezrahaber workingwiththeamericancommunitysurveyinraguidetousingtheacspackage