Downloads and extracts chronic absenteeism data from the SPR database. Chronic absenteeism is defined as missing 10
Value
Data frame with chronic absenteeism rates including:
end_year, county_id, county_name, district_id, district_name
school_id, school_name (for school-level data)
subgroup - Student group (total population, racial/ethnic groups, etc.)
chronically_absent_rate - Percentage chronically absent (0-100)
Aggregation flags (is_state, is_county, is_district, is_school, is_charter)
Examples
if (FALSE) { # \dontrun{
# Get school-level chronic absenteeism
ca <- fetch_chronic_absenteeism(2024)
# Get district-level data
ca_dist <- fetch_chronic_absenteeism(2024, level = "district")
# Filter for specific schools
newark_ca <- ca %>%
filter(district_id == "3570") %>%
filter(subgroup == "total population")
} # }