electricsheepafrica/africa-somalia-somalia-districts-hit-by-2013-tropical-cyclone-3a-72a3b465
Somalia Districts Hit by 2013 Tropical Cyclone 3a | Africa (IGAD Climate Prediction and Applications Center (ICPAC)) 42 rows - 1 Africa country/area - 2017 - 6 indicators - Engineered by Electric Sheep Africa TL;DR This dataset contains 42 rows from IGAD Climate Prediction and Applications Center (ICPAC), covering Somalia Districts Hit by 2013 Tropical Cyclone 3a. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-somalia-somalia-districts-hit-by-2013-tropical-cyclone-3a-72a3b465.
Somalia Districts Hit by 2013 Tropical Cyclone 3a | Africa (IGAD Climate Prediction and Applications Center (ICPAC))
42 rows - 1 Africa country/area - 2017 - 6 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
TL;DR
This dataset contains 42 rows from IGAD Climate Prediction and Applications Center (ICPAC), covering Somalia Districts Hit by 2013 Tropical Cyclone 3a. 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: Excel file. This layer shows Somalia Disricts struck by 2013 TC3A. They include, Bossaso, Bandarbeyla, Caluula, Iskushuban, Qandala, Qardho, Garoowe and Eyl District. On 8 November 2013, TC3A formed off the north-east coast of Somalia across the Indian Ocean, moving directly towards the coast of the country during the following days. On November 11, 2013 TC3A struck near the border of the Nugal and Bari regions and caused severe flash flooding. The storm produced a maximum wind speed of 74kph(46mph) and (100-200)mm of rainfall.
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-districts-hit-by-2013-tropical-cyclone-3a-fid-2-b66a5e69- Somalia Districts hit by 2013 Tropical Cyclone 3A - fid 2(sourceunitsunspecified)somalia-districts-hit-by-2013-tropical-cyclone-3a-objectid-1-02969e2b- Somalia Districts hit by 2013 Tropical Cyclone 3A - objectid 1(sourceunitsunspecified)somalia-districts-hit-by-2013-tropical-cyclone-3a-shape-leng-55f27169- Somalia Districts hit by 2013 Tropical Cyclone 3A - shape leng(sourceunitsunspecified)somalia-districts-hit-by-2013-tropical-cyclone-3a-shape-area-2ab83cb3- Somalia Districts hit by 2013 Tropical Cyclone 3A - shape area(sourceunitsunspecified)somalia-districts-hit-by-2013-tropical-cyclone-3a-objectid-2-d5313506- Somalia Districts hit by 2013 Tropical Cyclone 3A - objectid 2(sourceunitsunspecified)somalia-districts-hit-by-2013-tropical-cyclone-3a-d-2013tc3aa-6201da97- Somalia Districts hit by 2013 Tropical Cyclone 3A - d 2013tc3aa(sourceunitsunspecified)
Schema
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-somalia-somalia-districts-hit-by-2013-tropical-cyclone-3a-72a3b465")
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: IGAD Climate Prediction and Applications Center (ICPAC)
- Publisher: IGAD Climate Prediction and Applications Center (ICPAC)
- Portal: https://data.humdata.org
- Resource: Somalia Districts hit by 2013 Tropical Cyclone 3A Excel
- License: CC BY 4.0
- Retrieved/generated:
2026-08-10T14:51:15Z - Hugging Face repo: electricsheepafrica/africa-somalia-somalia-districts-hit-by-2013-tropical-cyclone-3a-72a3b465
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_iso3as the safest geography join key when present
Citation
@misc{electric_sheep_africa_africa_somalia_somalia_districts_hit_by_2013_tropical_cyclone_3a_72a3b465_2017,
title = {Somalia Districts Hit by 2013 Tropical Cyclone 3a | Africa (IGAD Climate Prediction and Applications Center (ICPAC))},
author = {IGAD Climate Prediction and Applications Center (ICPAC)},
year = {2017},
url = {https://data.humdata.org/dataset/icpac-geonode-somalia-districts-hit-by-2013-tropical-cyclone-3a},
publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-somalia-somalia-districts-hit-by-2013-tropical-cyclone-3a-72a3b465}}
}License
Released under CC BY 4.0.
Original data is published by IGAD Climate Prediction and Applications Center (ICPAC). 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/icpac-geonode-somalia-districts-hit-by-2013-tropical-cyclone-3a
