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Working with the American Community Survey in R: A Guide to Using the acs Package de Ezra Haber Glenn

Working with the American Community Survey in R: A Guide to Using the acs Package: SpringerBriefs in Statistics

Autor Ezra Haber Glenn
en Limba Engleză Paperback – 13 oct 2016
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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Specificații

ISBN-13: 9783319457710
ISBN-10: 3319457713
Pagini: 50
Ilustrații: VIII, 53 p.
Dimensiuni: 155 x 235 x 3 mm
Greutate: 0.1 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Statistics

Locul publicării:Cham, Switzerland

Cuprins

Purpose.- The Dawn of the ACS; the Natur of Estimates.- Census Data and the R Project.- Getting Started in R.- Working with the New Functions.- Exporting Data.- Additional Resources.- Appendix A.

Notă biografică

Ezra Haber Glenn, AICP, is Lecturer in the Housing, Community, and Economic Development Group of MIT's Department of Urban Studies and Planning, where he teaches on both community development practice and quantitative methods for planning. He has taught urban planning, politics, and GIS mapping as well at Tufts University and the University of Massachusetts at Lowell. Ezra is also the developer and maintainer of the "acs" package in the R Statistical Language, which helps users download and work with data from the American Community Survey in R.

Caracteristici

Serves as a hands-on guide to using the "acs" package in R, with worked examples Demonstrates the power of geographical output (visual displays of data via maps) Deals with real details about ACS data and sampling structure