electricsheepafrica/africa-somalia-somalia-districts-hit-by-2015-tropical-cyclone-megh-09aa90c6

Somalia Districts Hit by 2015 Tropical Cyclone Megh | Africa (IGAD Climate Prediction and Applications Center (ICPAC))

12 rows - 1 Africa country/area - 2017 - 6 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 12 rows from IGAD Climate Prediction and Applications Center (ICPAC), covering Somalia Districts Hit by 2015 Tropical Cyclone Megh. 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: CSV file. 2015 TC Megh struck Berbera and Bossaso Districts in Somalia. The storm orignated from the Arabian Sea causing even more rains in parts of Bari region in Puntland and Somaliland. On November 9, 2015 just days after TC Chapala, TC Megh passed 57 km (36 mi) north of Cape Guardafui, Somalia, where it dropped heavy rainfall 300% of the annual average. Eyl reported 160 mm (6.3 in) of rainfall over 24 hours. The villages hitted in the two districts included, Af Kalahay, Alula, Bareda, BiyoCade, Boolimoog, Dhurbo, Fagoora, Geesalay, Murcanyo, Sayn Weyn, Sayn Yar, Toxin, Xaabo, Baargaal, Bander, Bareeda, Butiyaal, Caluula, Murcanyo, Qandalla, Xaabo and some parts of Xaafun, Biyacad, Bulahar, Ceelsheik and Shacable

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-2015-tropical-cyclone-megh-fid-2-b8885dff - Somalia Districts hit by 2015 Tropical Cyclone Megh - fid 2(sourceunitsunspecified)
• —somalia-districts-hit-by-2015-tropical-cyclone-megh-objectid-1-addebcb7 - Somalia Districts hit by 2015 Tropical Cyclone Megh - objectid 1(sourceunitsunspecified)
• —somalia-districts-hit-by-2015-tropical-cyclone-megh-shape-leng-833e4c35 - Somalia Districts hit by 2015 Tropical Cyclone Megh - shape leng(sourceunitsunspecified)
• —somalia-districts-hit-by-2015-tropical-cyclone-megh-shape-area-ab46b788 - Somalia Districts hit by 2015 Tropical Cyclone Megh - shape area(sourceunitsunspecified)
• —somalia-districts-hit-by-2015-tropical-cyclone-megh-objectid-2-e3d4f3ee - Somalia Districts hit by 2015 Tropical Cyclone Megh - objectid 2(sourceunitsunspecified)
• —somalia-districts-hit-by-2015-tropical-cyclone-megh-d-2015megha-7d828157 - Somalia Districts hit by 2015 Tropical Cyclone Megh - d 2015megha(sourceunitsunspecified)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-somalia-somalia-districts-hit-by-2015-tropical-cyclone-megh-09aa90c6")
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 2015 Tropical Cyclone Megh CSV
• —License: CC BY 4.0
• —Retrieved/generated: 2026-08-10T14:51:34Z
• —Hugging Face repo: electricsheepafrica/africa-somalia-somalia-districts-hit-by-2015-tropical-cyclone-megh-09aa90c6

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_somalia_districts_hit_by_2015_tropical_cyclone_megh_09aa90c6_2017,
  title        = {Somalia Districts Hit by 2015 Tropical Cyclone Megh | 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-2015-tropical-cyclone-megh},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-somalia-somalia-districts-hit-by-2015-tropical-cyclone-megh-09aa90c6}}
}

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-2015-tropical-cyclone-megh