Description Usage Arguments Format Value Note Source See Also Examples
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.
1 2 | masterpull(data_year = "2019", data_type = "gen", disaggregated =
FALSE)
|
data_year |
Four digit year of master data to pull in. Options include 2013- 2019. Defaults to 2019. |
data_type |
Type of master data to pull in
Defaults to
|
disaggregated |
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. |
A data frame with 42 variables. To view descriptions of variable
names and sources for each use master_codebook()
A dataframe where each observation is a school district.
There are three types of exclusions that can be applied to the master dataset:
1. Geography based:
Excludes districts that do not have physical school district boundaries and thus are not included in the US Census, EDGE shapefile.
2. Finance based:
Excludes districts that are of types 5 (vocational or special education), 6 (non-operating) or 7 (educational service agency) in the F33 data.
If F33 school type is missing, excludes districts that are of types 4 (regional education service agency), 5 (state agency), 6 (federal agency), 7 (charter agency) or 8 (other education agency) based on CCD.
Excludes districts that zero missing or total enrollments.
Excludes districts that have missing or zero operational schools.
Excludes districts that have missing revenues.
Excludes districts that have very low revenues (<$500).
Excludes districts that have very high revenues (>$100,000 in inflation-adjusted 2017 dollars).
Excludes districts from the US territories.
3. General:
Excludes districts that are of types 5 (vocational or special education), 6 (nonoperating) or 7 (educational service agency) in the F33 data.
If F33 school type is missing, excludes districts that are of types 4 (regional education service agency), 5 (state agency), 6 (federal agency), 7 (charter agency) or 8 (other education agency) based on CCD.
Excludes districts that have missing or zero total enrollments.
Excludes districts from the US territories.
master_codebook
, long_masterpull
1 | master19_geo <- masterpull("2019", data_type = "geo")
|
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