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Returns a data frame mapping end_year to RIDE Data Center file IDs. These IDs are stable — RIDE assigns them when files are uploaded and they don't change. The catalog is hardcoded rather than scraped for reliability.

Usage

ride_get_file_catalog()

Value

Data frame with columns: end_year, fileid, description

Examples

ride_get_file_catalog()
#>    end_year fileid                                              description
#> 1      2026   1125 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 2      2025   1127 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 3      2024   1025 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 4      2023    977 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 5      2022    964 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 6      2021    944 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 7      2020    922 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 8      2019    882 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 9      2018    847 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 10     2017    805 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 11     2016    750 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 12     2015    704 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 13     2014    663 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 14     2013    612 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 15     2012    563 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 16     2011    497 Oct 1st Enrollment by Grade, Race, Gender, FRL, LEP, IEP
#> 17       NA   1115          Oct 1st Headcount 2010-2026 (LEA/school totals)
#> 18       NA   1114         Oct 1st Headcount 2010-2025 (State demographics)
#>          type
#> 1    per_year
#> 2    per_year
#> 3    per_year
#> 4    per_year
#> 5    per_year
#> 6    per_year
#> 7    per_year
#> 8    per_year
#> 9    per_year
#> 10   per_year
#> 11   per_year
#> 12   per_year
#> 13   per_year
#> 14   per_year
#> 15   per_year
#> 16   per_year
#> 17 multi_year
#> 18 multi_year