CoolFace
Datasetpublic

electricsheepafrica/africa-chad-chad-list-of-health-facilities-and-health-districts-10b3bb3b

Chad List of Health Facilities and Health Districts | Africa (OCHA Chad) 1,985 rows - 1 Africa country/area - 2020 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 1,985 rows from OCHA Chad, covering Chad List of Health Facilities and Health Districts. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. What This Dataset Measures… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-chad-chad-list-of-health-facilities-and-health-districts-10b3bb3b.

sourceHugging Facecc-by-4.0updated 2mo agoView on Hugging Face
0likes20downloads
Dataset Card

Chad List of Health Facilities and Health Districts | Africa (OCHA Chad)

1,985 rows - 1 Africa country/area - 2020 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 1,985 rows from OCHA Chad, covering Chad List of Health Facilities and Health Districts. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Health datasets help analysts monitor disease burden, service delivery, population health outcomes, and public-health program performance.

Source-provided context: Liste des centres de santé et hopitaux par district et province sanitaire

How To Read This Dataset

  • —One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows1,985
Countries/areas1
First period2020
Last period2020
Indicators0
Columns27
Source formatXLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
TCD1,98520202020Chad

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.00e4eedd-7e43-416d-937b-a04f6e133a10:feuil2:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.TCD
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Chad
source_sheetstringSource column from the original resource.Feuil2
yearint64Observation year.2020
code_cs_mspint64Source column from the original resource.50135
nomstringSource column from the original resource.Biligoni
typesstringSource column from the original resource.Centre de santé
affiliationstringSource column from the original resource.Publique
fonctionnalitestringSource column from the original resource.Fonctionnelle
longitudedoubleSource column from the original resource.15.94
latitudedoubleSource column from the original resource.13.4554
nomdistrictstringSource column from the original resource.Chaddra
pcodedistrictstringSource column from the original resource.TDDS20191901
nomprovincestringSource column from the original resource.Bahr El Ghazal
pcodeprovincesanitairestringSource column from the original resource.TDDSR201919
source_period_start_yearint64Start year inferred from source metadata.2020
source_period_end_yearint64End year inferred from source metadata.2020
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2020
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.OCHA Chad
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Chad - List of health facilities and health districts
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.TCD_data_ListeCdsDistrictsSanitaires_MSP_2020.xlsx
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.b3f2757f-cdd6-498a-a63d-8a8a6b49689b
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.00e4eedd-7e43-416d-937b-a04f6e133a10
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.humdata.org/dataset/b3f2757f-cdd6-498a-a63d-8a8a6b49689b...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-10T22:51:43Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-chad-chad-list-of-health-facilities-and-health-districts-10b3bb3b")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "TCD"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • —Canonical time field: year.
  • —Missing values are preserved rather than silently imputed.
  • —Column names are standardized for machine use; source meanings are preserved where known.
  • —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • —Converted the source table to Parquet for efficient analytics and ML workflows.
  • —Added or preserved source provenance columns where available.
  • —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • —Preserved source-reported values without analytical imputation.

Suggested Analyses

  • —Compare health outcomes across geographies
  • —Track changes over time
  • —Join with population or facility data
  • —Build time-series views and period-over-period comparisons
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_chad_chad_list_of_health_facilities_and_health_districts_10b3bb3b_2020,
  title        = {Chad List of Health Facilities and Health Districts | Africa (OCHA Chad)},
  author       = {OCHA Chad},
  year         = {2020},
  url          = {https://data.humdata.org/dataset/chad-list-of-health-facilities-and-health-districts},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-chad-list-of-health-facilities-and-health-districts-10b3bb3b}}
}

License

Released under CC BY 4.0.

Original data is published by OCHA Chad. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/chad-list-of-health-facilities-and-health-districts