Adds aggregation identifier columns to assessment data.
Creates is_state, is_county, is_district, is_school logical columns.
Arguments
- data
Assessment data (processed or tidy format)
Value
Data with additional aggregation identifier columns
Details
Creates logical columns for easy filtering:
is_state: TRUE for state-level aggregations
is_county: TRUE for county-level aggregations
is_district: TRUE for district-level aggregations
is_school: TRUE for school-level aggregations
Also creates entity_name column based on aggregation level.
Examples
if (FALSE) { # \dontrun{
library(dplyr)
# Add aggregation identifiers
tidy <- tidy_assess(processed_data) %>%
id_assess_aggs()
# Filter to school-level data
schools <- tidy %>%
filter(is_school)
# Filter to state-level data
state <- tidy %>%
filter(is_state)
} # }