electricsheepafrica/africa-madagascar-cyclone-1001040

Madagascar: Cyclone - Tropical storm - Jan 2024

Publisher: WFP Advanced Disaster Analysis & Mapping · Source: HDX · License: cc-by-sa · Updated: 2024-07-24

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Abstract

ADAM ID: 1001040_10 Cyclone (tropical storm) during the period Dec 31 2023-Jan 03 2024 in Madagascar. It impacted 0 people.

Each row in this dataset represents tabular records. Data was last updated on HDX on 2024-07-24. Geographic scope: MDG.

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)	39
Columns	8 (3 numeric, 5 categorical, 0 datetime)
Train split	31 rows
Test split	7 rows
Geographic scope	MDG
Publisher	WFP Advanced Disaster Analysis & Mapping
HDX last updated	2024-07-24

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Variables

Demographic — pop_60_kmh (range 0.0–531057.0), pop_90_kmh (range 0.0–194265.0).

Identifier / Metadata — unnamed_0 (range 0.0–47.0), adm0_name (Madagascar, Bassas da India), adm1_name (Atsimo Andrefana, Haute Matsiatra, Menabe), adm2_name (---, Ihosy, Ambohimahasoa), esa_source (HDX) and 1 others.

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-madagascar-cyclone-1001040")
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 – 47.0 (mean 23.7436)
adm0_name	object	0.0%	Madagascar, Bassas da India
adm1_name	object	0.0%	Atsimo Andrefana, Haute Matsiatra, Menabe
adm2_name	object	0.0%	---, Ihosy, Ambohimahasoa
pop_60_kmh	int64	0.0%	0.0 – 531057.0 (mean 134779.9744)
pop_90_kmh	int64	0.0%	0.0 – 194265.0 (mean 20849.6923)
esa_source	object	0.0%	HDX
esa_processed	object	0.0%	2026-04-06

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Numeric Summary

Column	Min	Max	Mean	Median
unnamed_0	0.0	47.0	23.7436	24.0
pop_60_kmh	0.0	531057.0	134779.9744	60149.0
pop_90_kmh	0.0	194265.0	20849.6923	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_madagascar_cyclone_1001040,
  title     = {Madagascar: Cyclone - Tropical storm - Jan 2024},
  author    = {WFP Advanced Disaster Analysis & Mapping},
  year      = {2024},
  url       = {https://data.humdata.org/dataset/madagascar-cyclone-1001040},
  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.