electricsheepafrica/africa-united-republic-of-tanzania-cyclone-1001060

United Republic of Tanzania: Cyclone - Tropical storm - May 2024

Publisher: WFP Advanced Disaster Analysis & Mapping · Source: HDX · License: cc-by-sa · Updated: 2025-11-24

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Abstract

ADAM ID: 1001060_10 Cyclone (tropical storm) during the period May 01 2024-May 04 2024 in Tanzania, Seychelles, Comoros. It impacted 8846 people.

Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-11-24. Geographic scope: TZA.

Curated into ML-ready Parquet format by Electric Sheep Africa.

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Dataset Characteristics

Domain	Demographics and population
Unit of observation	Tabular records
Rows (total)	37
Columns	9 (4 numeric, 5 categorical, 0 datetime)
Train split	29 rows
Test split	7 rows
Geographic scope	TZA
Publisher	WFP Advanced Disaster Analysis & Mapping
HDX last updated	2025-11-24

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Variables

Demographic — pop_60_kmh (range 0.0–313305.0), pop_90_kmh (range 0.0–2688883.0), pop_120_kmh (range 0.0–8846.0).

Identifier / Metadata — unnamed_0 (range 0.0–48.0), adm0_name (United Republic of Tanzania, Comoros, Seychelles), adm1_name (Pwani, Tanga, Grande Comore), adm2_name (Lunga Lunga, Hamahamet-Mboinkou, Mkuranga), esa_source (HDX) and 1 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-united-republic-of-tanzania-cyclone-1001060")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

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Schema

Column	Type	Null %	Range / Sample Values
unnamed_0	int64	0.0%	0.0 – 48.0 (mean 25.6216)
adm0_name	object	0.0%	United Republic of Tanzania, Comoros, Seychelles
adm1_name	object	0.0%	Pwani, Tanga, Grande Comore
adm2_name	object	0.0%	Lunga Lunga, Hamahamet-Mboinkou, Mkuranga
pop_60_kmh	int64	0.0%	0.0 – 313305.0 (mean 73757.3784)
pop_90_kmh	int64	0.0%	0.0 – 2688883.0 (mean 246008.5135)
pop_120_kmh	int64	0.0%	0.0 – 8846.0 (mean 239.0811)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-12

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Numeric Summary

Column	Min	Max	Mean	Median
unnamed_0	0.0	48.0	25.6216	27.0
pop_60_kmh	0.0	313305.0	73757.3784	45578.0
pop_90_kmh	0.0	2688883.0	246008.5135	0.0
pop_120_kmh	0.0	8846.0	239.0811	0.0

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Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

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Limitations

• Data originates from WFP Advanced Disaster Analysis & Mapping and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_united_republic_of_tanzania_cyclone_1001060,
  title     = {United Republic of Tanzania: Cyclone - Tropical storm - May 2024},
  author    = {WFP Advanced Disaster Analysis & Mapping},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/united-republic-of-tanzania-cyclone-1001060},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

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Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.