CoolFace
Datasetpublic

electricsheepafrica/africa-cote-d-ivoire-sites-de-vaccination-de-covid-19-dans-le-district-d-abidja-5bbc9c04

Sites De Vaccination De Covid 19 Dans Le District D Abidja | Africa (Cote d'Ivoire DataFair) 59 rows - 1 Africa country/area - 2021 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 59 rows from Cote d'Ivoire DataFair, covering Sites De Vaccination De Covid 19 Dans Le District D Abidja. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-sites-de-vaccination-de-covid-19-dans-le-district-d-abidja-5bbc9c04.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
0likes43downloads
Dataset Card

Sites De Vaccination De Covid 19 Dans Le District D Abidja | Africa (Cote d'Ivoire DataFair)

59 rows - 1 Africa country/area - 2021 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 59 rows from Cote d'Ivoire DataFair, covering Sites De Vaccination De Covid 19 Dans Le District D Abidja. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: Normalized CSV export exposed by the Data Fair API.

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
Rows59
Countries/areas1
First period2021
Last period2021
Indicators0
Columns24
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
CIV5920212021Côte d'Ivoire

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.sites-de-vaccination-de-covid-19-dans-le-district-d'abidjan:full:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.CIV
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Côte d'Ivoire
yearint64Observation year.2021
district_sanitairestringSource column from the original resource.Cocody
sites_de_vaccinationstringSource column from the original resource.Centre Hospitalier Universitaire (CHU) de Cocody
point_gpsstringSource column from the original resource.5.3420,-3.9936
telephonestringSource column from the original resource.27 22 48 10 00
emailstringSource column from the original resource.``
jours_d_ouverturestringSource column from the original resource.Lundi-Dimanche
horairesstringSource column from the original resource.24H/24
imagestringSource column from the original resource.http://www.atoo.ci/wp-content/uploads/2019/10/CHU_de_Cocody.jpg
infos_utilesstringSource column from the original resource.Le Centre hospitalier universitaire de Cocody, est un hôpital public ...
source_period_start_yearint64Start year inferred from source metadata.2021
source_period_end_yearint64End year inferred from source metadata.2021
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2021
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.http://www.inhp.info/actualite/covid-19-liste-des-sites-de-vaccination
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Sites de vaccination de Covid-19 dans le district d'Abidjan
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Sites de vaccination de Covid-19 dans le district d'Abidjan CSV export
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.sites-de-vaccination-de-covid-19-dans-le-district-d'abidjan
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.sites-de-vaccination-de-covid-19-dans-le-district-d'abidjan:full
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.gouv.ci/data-fair/api/v1/datasets/sites-de-vaccination-d...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.other-open
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-27T10:23:33Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-sites-de-vaccination-de-covid-19-dans-le-district-d-abidja-5bbc9c04")
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"] == "CIV"]

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

  • —Track mobility over time
  • —Compare routes or geographies
  • —Join with economic and population 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_cote_d_ivoire_sites_de_vaccination_de_covid_19_dans_le_district_d_abidja_2021,
  title        = {Sites De Vaccination De Covid 19 Dans Le District D Abidja | Africa (Cote d'Ivoire DataFair)},
  author       = {http://www.inhp.info/actualite/covid-19-liste-des-sites-de-vaccination},
  year         = {2021},
  url          = {https://data.gouv.ci/datasets/sites-de-vaccination-de-covid-19-dans-le-district-d'abidjan},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-sites-de-vaccination-de-covid-19-dans-le-district-d-abidja-5bbc9c04}}
}

License

Released under other-open.

Original data is published by http://www.inhp.info/actualite/covid-19-liste-des-sites-de-vaccination. 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.gouv.ci/datasets/sites-de-vaccination-de-covid-19-dans-le-district-d'abidjan