CoolFace
Datasetpublic

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.

sourceHugging Facecc-by-4.0updated 2mo agoView on Hugging Face
0likes18downloads
Dataset Card

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)

rows countries period indicators license

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_iso3 where available plus source-specific keys.

Coverage

DimensionValue
Rows76
Countries/areas1
First perioddetected
Last perioddetected
Indicators0
Columns35
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
SOM76detecteddetectedSomalia

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.130faaf5-64f7-44d3-9f2a-ccb383068bed:sheet1:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.SOM
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Somalia
source_sheetstringSource column from the original resource.Sheet1
statestringSource column from the original resource.SOMALILAND ADMINISTRATION
regionstringSource column from the original resource.Awdal
districtstringSource column from the original resource.Borama
district_pcode_do_not_change_pleasestringSource column from the original resource.SO1101
number_of_people_affected_only_ocha_inputsint64Source column from the original resource.0
number_of_people_affected_only_prmn_to_filldoubleSource column from the original resource.0.0
number_of_people_dsiplaced_filled_by_prmn_ocha_not_to_fidoubleSource column from the original resource.0.0
number_of_people_displaced_filled_by_ocha_prmn_not_to_fiint64Source column from the original resource.0
death_cases_caused_byfloodsint64Source column from the original resource.0
population_2014_unfpaint64Source column from the original resource.453434
typestringSource column from the original resource.``
people_reached_by_district_fsc_iasndoubleSource column from the original resource.``
people_reached_by_district_fsc_livelihood_seasonal_inputdoubleSource column from the original resource.``
people_reached_by_district_nutritiondoubleSource column from the original resource.``
people_reached_by_district_washdoubleSource column from the original resource.``
people_reached_by_district_healthdoubleSource column from the original resource.``
people_reached_by_district_educationdoubleSource column from the original resource.``
people_reached_by_district_cccmdoubleSource column from the original resource.``
people_reached_by_district_protectiondoubleSource column from the original resource.``
people_reached_by_district_shelterdoubleSource column from the original resource.``
source_period_start_yearint64Start year inferred from source metadata.``
source_period_end_yearint64End year inferred from source metadata.``
source_period_labelstringSource column from the original resource.``
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.OCHA Somalia
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Somalia Flood and Drought Dashboard
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.People affected-displaced matrix _Hagaa
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.b701b0bd-16b7-4d17-8723-77ac80abd4a4
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.130faaf5-64f7-44d3-9f2a-ccb383068bed
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.humdata.org/dataset/b701b0bd-16b7-4d17-8723-77ac80abd4a4...
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.2026-08-10T14:51:11Z

Usage

python
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

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

Filter By Geography

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

Time-Series Pattern

python
if "value" in df.columns and "source_period_start_year" in df.columns:
    trend = df.sort_values("source_period_start_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: 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

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_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