electricsheepafrica/africa-somalia-somalia-flood-and-drought-dashboard-1d5a9619
Somalia Flood and Drought Dashboard | Africa (OCHA Somalia) 76 rows - 1 Africa country/area - detected - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 76 rows from OCHA Somalia, covering Somalia Flood and Drought Dashboard. 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-somalia-somalia-flood-and-drought-dashboard-1d5a9619.
Somalia Flood and Drought Dashboard | Africa (OCHA Somalia)
76 rows - 1 Africa country/area - detected - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
TL;DR
This dataset contains 76 rows from OCHA Somalia, covering Somalia Flood and Drought Dashboard. 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: Hagaa Season Floods - April to June
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:
source_period_start_year. - Time coverage basis: sourceperiodstart_year.
- Recommended join keys:
country_iso3where available plus source-specific keys.
Coverage
Geographic Coverage
Top areas shown below, sorted by row count when available:
Indicators, Variables, Or Resource Contents
- This repo preserves one source tabular resource with its usable columns kept together.
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-somalia-somalia-flood-and-drought-dashboard-1d5a9619")
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 "source_period_start_year" in df.columns:
trend = df.sort_values("source_period_start_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:
source_period_start_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: People affected-displaced matrix _Hagaa
- License: CC BY 4.0
- Retrieved/generated:
2026-08-10T16:22:00Z - Hugging Face repo: electricsheepafrica/africa-somalia-somalia-flood-and-drought-dashboard-1d5a9619
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_iso3as the safest geography join key when present
Citation
@misc{electric_sheep_africa_africa_somalia_somalia_flood_and_drought_dashboard_1d5a9619_2026,
title = {Somalia Flood and Drought Dashboard | Africa (OCHA Somalia)},
author = {OCHA Somalia},
year = {2026},
url = {https://data.humdata.org/dataset/somalia-drought-dashboard},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-somalia-somalia-flood-and-drought-dashboard-1d5a9619}}
}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-drought-dashboard
