c(
person("Megan", "Brodzik", email = "meganbrodzik@gmail.com", role = c("cre", "aut")),
person("Cecilia", "Depman", email = "cecilia.depman@gmail.com", role = "aut"),
person("Sara", "Hodges", email = "sara.hodges@gmail.com", role = "aut"),
person("Kailey", "Spencer", email = "kailey.spencer.depoe@gmail.com", role = "ctb"))
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 2018 or longitudinally for all years 2013-2018.
School year is identified by the end year. For example, the 2017-18 school year is 2018.
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) <https://data.edbuild.org>.

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 2018 or longitudinally for all years 2013-2018.
School year is identified by the end year. For example, the 2017-18 school year is 2018.
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>.