Uganda Private Secondary Schools Dataset 2022
# UG-PRIV-SEC-SCH-DS-2022 — Dataset-focused README
This README focuses on the dataset(s) used in this repository and how to safely inspect, use, and extend them. It replaces the previous repository README.
File path: README.md (repository root) — full-file replacement of the current README.md
What was removed: The previous README.md (all lines). If you want a diff I can provide unified diff showing old vs new.
IMPORTANT: Do NOT store personally identifiable information (PII) or raw student-level data in this repository. Always keep raw sensitive data in secure storage and commit only safe, synthetic, or aggregated datasets.
Table of contents
- Dataset overview
- Where the data lives in this repo (paths)
- Data files and expected formats
- Data dictionary / schema
- Data quality checks and recommended preprocessing
- Privacy-preserving guidance (anonymization & aggregation)
- How to load the data (examples)
- Example analyses and quick commands
- Provenance, licensing & citation
- Adding or updating dataset files (exact paths to place files)
- Next steps & how I updated the repo
Dataset overview
This repository documents and (optionally) contains a dataset describing Uganda private secondary schools (2022). The dataset is intended to capture school-level attributes (not individual student PII) such as school name, location (district), ownership type, enrollment counts by level, staff counts, pass rates, fees, facilities, and other school-level metadata.
Primary goals for the dataset section of this repo:
- Provide a clear data dictionary so others can understand and reuse the data safely.
- Provide recommended preprocessing and quality checks for reproducible analysis.
- Provide privacy guidance and how to create safe synthetic or aggregated derivatives for sharing.
Where the data lives in this repo (paths)
- data/raw/ — raw ingested files (DO NOT commit real PII here if it contains sensitive records)
- Example filename: data/raw/ug_private_schools_2022.csv
- …