Clean Student/Child Detail Data — student

Transforms raw student data into analysis-ready format by renaming columns, standardizing demographics, parsing income, cleaning attendance data, processing assessment scores (GOLD, PPVT, eDECA, ASQ), deriving indicators (age, IEP2, binary dummies), and optionally removing PII fields.

Usage

student_clean(raw_obj, include_pii = FALSE)

Arguments

raw_obj: An alprek_student_raw object from student_read().
include_pii: Logical. If FALSE (default), removes personally identifiable information (child names, guardian info, state/student IDs). DOB and derived variables (age, birth_year) are always retained.

Value

An alprek_student_clean S3 object (list) with elements:

data: Cleaned tibble of student data.
meta: list of metadata.
cleaning_log: list of cleaning statistics.

Examples

if (FALSE) { # \dontrun{
raw <- student_read("FCPK Student Details 21-22.xlsx", "2021-2022")
clean <- student_clean(raw)
clean <- student_clean(raw, include_pii = TRUE)
} # }