masterpull

Four digit year of master data to pull in. Options include
2013- 2019. Defaults to 2019.

data_year

Type of master data to pull in<ul>
<li><code>geo</code>
pulls in all school districts that have physical school district
boundaries. To be used for map-based analysis and other analyses that
pertain to school districts with geographic boundaries. For instance, an
analysis using median owner-occupied property value would use the geography
exclusion.</li>
<li><code>fin</code> pulls in all school districts that meet
EdBuild&lt;U+2019&gt;s criteria for financial analysis. To be used for finance analysis.</li>
<li><code>gen</code> pulls in all school districts that meet enrollment and
district type requirements. To be used for all other, non-finance analysis.</li>
<li><code>full</code> pulls in all school districts in the given year. To be
used with great care, or to find a district that does not appear in any
other exclusion, for example charter school districts.</li>
</ul>Defaults to
<code>gen</code>

data_type

For the full, general, and finance exclusions in 2019,
users have the option to view disaggregated Vermont school district data
without EdBuild's aggregation processing.

disaggregated

This function allows you to read in EdBuild's master dataset for the years
2013- 2019. The master dataset is a compilation of national level school
district data from the US Census Annual Survey of School System Finances
(F33); US Census Small Area Income and Poverty Estimates (SAIPE); National
Center for Education Statistics (NCES) Common Core of Data (CCD); and
Education Demographic and Geographic Estimates (EDGE). Cost adjustments were
calculated using C2ER.

data

edge

master

EdBuild

SAIPE

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>.

Megan Brodzik

edbuildr

Automated School District Data Download and Processing

Cecilia Depman

Sara Hodges

Kailey Spencer

masterpull function

A data frame with 42 variables. To view descriptions of variable
 names and sources for each use <code>master_codebook()</code>

masterpull: A function to import EdBuild's master dataset

Description

Usage

Arguments

Value

Format

See Also

Examples