electricsheepafrica/africa-somalia-somalia-coronavirus-covid-19-subnational-cases-b7c42d95

Somalia Coronavirus Covid 19 Subnational Cases | Africa (OCHA Somalia)

2,992 rows - 1 Africa country/area - 2020-2021 - 4 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 2,992 rows from OCHA Somalia, covering Somalia Coronavirus Covid 19 Subnational Cases. 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: Since May 19, the source and the format of the data has changed. New source: https://bmgf.maps.arcgis.com/apps/opsdashboard/index.html#/d0d9a939c5fa401caa3a7447e72b2017

How To Read This Dataset

• —One row means: one indicator observation for one geography, time period, and optional source dimensions.
• —Primary geography column: country_iso3.
• —Best time column: year.
• —Time coverage basis: year.
• —Recommended join keys: country_iso3, year, indicator_id.

Coverage

Geographic Coverage

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

Indicators, Variables, Or Resource Contents

• —somalia-coronavirus-covid-19-subnational-cases-confirmed-ecea18be - Somalia: Coronavirus (COVID-19) Subnational Cases - confirmed(sourceunitsunspecified)
• —somalia-coronavirus-covid-19-subnational-cases-dead-54574bae - Somalia: Coronavirus (COVID-19) Subnational Cases - dead(sourceunitsunspecified)
• —somalia-coronavirus-covid-19-subnational-cases-recovered-0086f9c3 - Somalia: Coronavirus (COVID-19) Subnational Cases - recovered(sourceunitsunspecified)
• —somalia-coronavirus-covid-19-subnational-cases-active-0cd0dff0 - Somalia: Coronavirus (COVID-19) Subnational Cases - active(sourceunitsunspecified)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-somalia-somalia-coronavirus-covid-19-subnational-cases-b7c42d95")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

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

Filter By Geography

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

Time-Series Pattern

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

Pivot For Analysis

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

• —Source: OCHA Somalia
• —Publisher: OCHA Somalia
• —Portal: https://data.humdata.org
• —Resource: Somalia COVID-19 cases by location
• —License: CC BY 4.0
• —Retrieved/generated: 2026-08-10T15:56:15Z
• —Hugging Face repo: electricsheepafrica/africa-somalia-somalia-coronavirus-covid-19-subnational-cases-b7c42d95

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
• —Pivot to geography x period or indicator x period matrices
• —Check missingness before modeling
• —Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_somalia_somalia_coronavirus_covid_19_subnational_cases_b7c42d95_2021,
  title        = {Somalia Coronavirus Covid 19 Subnational Cases | Africa (OCHA Somalia)},
  author       = {OCHA Somalia},
  year         = {2021},
  url          = {https://data.humdata.org/dataset/somalia-coronavirus-covid-19-subnational-cases},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-somalia-somalia-coronavirus-covid-19-subnational-cases-b7c42d95}}
}

License

Released under CC BY 4.0.

Original data is published by OCHA Somalia. 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 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/somalia-coronavirus-covid-19-subnational-cases