electricsheepafrica/africa-somalia-data-for-the-covid-19-data-explorer-9c79f397

Data for the Covid 19 Data Explorer | Africa (HDX)

2,598 rows - 1 Africa country/area - 2022-2023 - 89 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 2,598 rows from HDX, covering Data for the Covid 19 Data Explorer. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: National data that drives the Covid-19 Data Explorer

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

• —data-for-the-covid-19-data-explorer-population-252c2e5c - Data for the Covid-19 Data Explorer - population(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-cumulative-cases-1c6946b0 - Data for the Covid-19 Data Explorer - cumulative cases(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-cumulative-deaths-6b52e46d - Data for the Covid-19 Data Explorer - cumulative deaths(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-weekly-cum-cases-d96eb7fb - Data for the Covid-19 Data Explorer - weekly cum cases(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-weekly-cum-deaths-a4f0a24f - Data for the Covid-19 Data Explorer - weekly cum deaths(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-weekly-new-cases-9167b41d - Data for the Covid-19 Data Explorer - weekly new cases(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-weekly-new-deaths-0ebc3d77 - Data for the Covid-19 Data Explorer - weekly new deaths(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-weekly-new-cases-per-ht-3722617c - Data for the Covid-19 Data Explorer - weekly new cases per ht(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-weekly-new-deaths-per-ht-76aae444 - Data for the Covid-19 Data Explorer - weekly new deaths per ht(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-weekly-new-cases-change-cdc6c743 - Data for the Covid-19 Data Explorer - weekly new cases change(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-weekly-new-deaths-change-8446d585 - Data for the Covid-19 Data Explorer - weekly new deaths change(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-weekly-new-cases-pc-change-2cab72b6 - Data for the Covid-19 Data Explorer - weekly new cases pc change(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-weekly-new-deaths-pc-change-f34207bf - Data for the Covid-19 Data Explorer - weekly new deaths pc change(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-economicexposure-9f192502 - Data for the Covid-19 Data Explorer - economicexposure(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-malnutrition-estimate-4c748849 - Data for the Covid-19 Data Explorer - malnutrition estimate(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-peopleinneed-117dd1ba - Data for the Covid-19 Data Explorer - peopleinneed(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-totalidps-0350927f - Data for the Covid-19 Data Explorer - totalidps(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-cbpffunding-4f6f0dfa - Data for the Covid-19 Data Explorer - cbpffunding(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-cbpffundinggmempty-98b88897 - Data for the Covid-19 Data Explorer - cbpffundinggmempty(sourceunitsunspecified)
• —data-for-the-covid-19-data-explorer-cbpffundinggm0-ca917e3f - Data for the Covid-19 Data Explorer - cbpffundinggm0(sourceunitsunspecified)
• —... 69 more indicators

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-somalia-data-for-the-covid-19-data-explorer-9c79f397")
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: HDX
• —Publisher: HDX
• —Portal: https://data.humdata.org
• —Resource: Covid-19 Data Explorer - national data
• —License: CC BY 4.0
• —Retrieved/generated: 2026-08-10T15:56:12Z
• —Hugging Face repo: electricsheepafrica/africa-somalia-data-for-the-covid-19-data-explorer-9c79f397

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

• —Profile the distribution of values
• —Compare categories or geographies
• —Join with complementary public datasets
• —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_data_for_the_covid_19_data_explorer_9c79f397_2023,
  title        = {Data for the Covid 19 Data Explorer | Africa (HDX)},
  author       = {HDX},
  year         = {2023},
  url          = {https://data.humdata.org/dataset/covid-19-data-visual-inputs},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-somalia-data-for-the-covid-19-data-explorer-9c79f397}}
}

License

Released under CC BY 4.0.

Original data is published by HDX. 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/covid-19-data-visual-inputs