Working with the American Community Survey in R

A Guide to Using the acs Package

Ezra Haber Glenn (Autor)

Buch | Softcover

VIII, 53 Seiten

2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-45771-0 (ISBN)

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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).

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.

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.

Erscheinungsdatum	25.10.2016
Reihe/Serie	SpringerBriefs in Statistics
Zusatzinfo	VIII, 53 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	ACS • acs.R • American Community Survey • Big Data/Analytics • Business mathematics and systems • Census Data • Computer programming / software engineering • data structure • Demography • Estimates • geographic output • margin of error • mathematics and statistics • Population and demography • probability and statistics • Programming Techniques • random sample • Random Sampling • R package • sampling structure • Social research and statistics • Sociology • statistical graphing • Statistical Theory and Methods • Statistics for Social Science, Behavorial Science, • Urban communities • urban studies • Urban Studies/Sociology • US Census Bureau • weighting
ISBN-10	3-319-45771-3 / 3319457713
ISBN-13	978-3-319-45771-0 / 9783319457710
Zustand	Neuware