edbuildr: Automated School District Data Download and Processing

Import the 'EdBuild' master dataset of school district finance, student demographics, and community economic indicators for every school district in the United States. The master dataset is built from the US Census, Annual Survey of School System Finances (F33) and joins data from the National Center for Education Statistics, Common Core of Data; the US Census, Small Area Income and Poverty Estimates; and the US Census, Education Demographic and Geographic Estimates. We apply 'EdBuild' standard processing to the dataset and provide the option to select from four different exclusion criteria - see the masterpull() help file for more details. The master dataset is available for any school year from 2013 to 2019 or longitudinally for all years 2013-2019. School year is identified by the end year. For example, the 2018-19 school year is 2019. Additional functions in the package use 'EdBuild' master data to analyze the difference between neighboring school districts and create formatted excel tables of school district data. For full details about 'EdBuild' data processing please see 'EdBuild' (2020) <http://data.edbuild.org>.

Getting started

Package details

AuthorMegan Brodzik [cre, aut], Cecilia Depman [aut], Sara Hodges [aut], Kailey Spencer [ctb]
MaintainerMegan Brodzik <meganbrodzik@gmail.com>
LicenseCC0
Version0.3.0
URL https://github.com/EdBuild/edbuildr http://viz.edbuild.org/workshops/edbuildr/ http://viz.edbuild.org/workshops/data-overview/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("edbuildr")

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edbuildr documentation built on June 2, 2021, 5:07 p.m.