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Titlebook: Working with the American Community Survey in R; A Guide to Using the Ezra Haber Glenn Book 2016 The Author(s) 2016 American Community Surv

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發(fā)表于 2025-3-21 16:07:29 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Working with the American Community Survey in R
副標(biāo)題A Guide to Using the
編輯Ezra Haber Glenn
視頻videohttp://file.papertrans.cn/1032/1031025/1031025.mp4
概述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
叢書名稱SpringerBriefs in Statistics
圖書封面Titlebook: Working with the American Community Survey in R; A Guide to Using the Ezra Haber Glenn Book 2016 The Author(s) 2016 American Community Surv
描述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)..
出版日期Book 2016
關(guān)鍵詞American Community Survey; R package; census data; US Census Bureau; urban studies; estimates; acs; acs; R; g
版次1
doihttps://doi.org/10.1007/978-3-319-45772-7
isbn_softcover978-3-319-45771-0
isbn_ebook978-3-319-45772-7Series ISSN 2191-544X Series E-ISSN 2191-5458
issn_series 2191-544X
copyrightThe Author(s) 2016
The information of publication is updating

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發(fā)表于 2025-3-21 23:36:38 | 只看該作者
Exporting Data,ver, users wishing to export data for use in spreadsheets or other program can make use of the existing export functions, such as ., along with the package’s ., ., and . functions. Thus, to save the estimates, standard errors, and a 90?% confidence interval as three different . spreadsheets:
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發(fā)表于 2025-3-22 02:30:38 | 只看該作者
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發(fā)表于 2025-3-22 12:03:12 | 只看該作者
Additional Resources,The . package is hosted on the . repository, where updates will appear from time to time. For additional guidance and examples, users are advised to review the complete documentation at (.), which can also be accessed in an . session via the . function.
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發(fā)表于 2025-3-22 14:33:30 | 只看該作者
Ezra Haber GlennServes 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
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發(fā)表于 2025-3-22 21:00:55 | 只看該作者
SpringerBriefs in Statisticshttp://image.papertrans.cn/w/image/1031025.jpg
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發(fā)表于 2025-3-23 01:08:03 | 只看該作者
https://doi.org/10.1007/978-3-319-45772-7American Community Survey; R package; census data; US Census Bureau; urban studies; estimates; acs; acs; R; g
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發(fā)表于 2025-3-23 07:46:39 | 只看該作者
Getting Started in ,,elds—notably biological modeling and econometrics—R is becoming more widely used than commercial competitors, due in large part to the open source development model which allows researchers to collaboratively design custom-built packages for niche applications. Unfortunately, one area of application
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