Description edbuildr functions Author(s)
This package allows users to import EdBuild's 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 (CCD); the US Census, Small Area Income and Poverty Estimates (SAIPE); and the US Census, Education Demographic and Geographic Estimates (EDGE). We apply EdBuild's standard processing to the dataset and provide the option to select from four different exclusion criteria - see the masterpull help file for full 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's master data to analyze the difference between neighboring school districts and create formatted excel tables of school district data. For full details about EdBuild's data processing please see: EdBuild (2020) <http://data.edbuild.org/>.
The edbuildr functions are:
big_borders
Pools local revenue for school districts at either the county or state level to see the effects on individual districts.
f33pull
Pulls in the US Census's Annual Survey of School System Finances (F33) and processes according to EdBuild's adjustments. Available for 2006-2019.
f33pull_raw
Pulls in the the full US Census's Annual Survey of School System Finances (F33) with no EdBuild adjustments. Available for 1990-2019.
long_masterpull
Pulls in EdBuild's master dataset longitudinally for years 2013-2019.
Reads in a codebook for EdBuild's master data. The codebook tells the user what each variable name represents and the source of each variable.
masterpull
Pulls in EdBuild's master dataset which is a compilation of national level school district data from the Census's Annual Survey of School System Finances (F33) and Small Area Income and Poverty Estimates (SAIPE) and NCES's Common Core of Data (CCD) and Education Demographic and Geographic Estimates (EDGE). Cost adjustments were calculated using C2ER. Available for 2013-2019.
neigh_diff
Calculates the difference and national rank for a selected variable between all school district neighbors.
round2
Rounds 0.5 up.
sd_neighbor
Creates a dataframe of any school district and their neighbors with selected variables.
sd_neighbor_xlsx
Creates a formatted table (.xlsx) of any school district and their neighbors with selected variables.
sd_table_xlsx
Creates a formatted excel table (.xlsx) of school districts in a state or county with selected variables.
Megan Brodzik (meganbrodzik@gmail.com), maintainer
Cecilia Depman (cecilia.depman@gmail.com), author
Sara Hodges (sara.hodges@gmail.com), author
Kailey Spencer (kailey.spencer.depoe@gmail.com), contributor
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