electricsheepafrica/africa-aviation-mauritania

Airports in Mauritania

Publisher: OurAirports · Source: HDX · License: Public Domain · Updated: 2026-04-09

---

Abstract

List of airports in Mauritania, with latitude and longitude. Unverified community data from http://ourairports.com/countries/MR/

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-04-09. Geographic scope: MRT.

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

---

Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	First-level administrative unit observations
Rows (total)	35
Columns	24 (7 numeric, 16 categorical, 0 datetime)
Train split	28 rows
Test split	7 rows
Geographic scope	MRT
Publisher	OurAirports
HDX last updated	2026-04-09

---

Variables

Geographic — type (small_airport, closed, heliport), latitude_deg (range 15.1797–25.3658), longitude_deg (range -17.0302–-5.5197), country_name (Mauritania, #country +name), iso_country (MR, #country +code +iso2) and 5 others.

Temporal — last_updated.

Outcome / Measurement — score (range 0.0–1000.0).

Identifier / Metadata — id (range 3130.0–513281.0), ident (#meta +code, MR-0004, GQNL), name (#loc +airport +name, Twajeel Airport, Letfotar Airport), gps_code (#loc +airport +code +gps, GQNO, GQNH), icao_code and 3 others.

Other — elevation_ft (range 9.0–1775.0), continent (AF, #region +continent +code), scheduled_service (range 0.0–1.0), wikipedia_link.

---

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-aviation-mauritania")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

---

Schema

Column	Type	Null %	Range / Sample Values
id	float64	2.9%	3130.0 – 513281.0 (mean 160140.5882)
ident	object	0.0%	#meta +code, MR-0004, GQNL
type	object	0.0%	small_airport, closed, heliport
name	object	0.0%	#loc +airport +name, Twajeel Airport, Letfotar Airport
latitude_deg	float64	2.9%	15.1797 – 25.3658 (mean 18.7463)
longitude_deg	float64	2.9%	-17.0302 – -5.5197 (mean -11.5492)
elevation_ft	float64	8.6%	9.0 – 1775.0 (mean 657.5)
continent	object	0.0%	AF, #region +continent +code
country_name	object	0.0%	Mauritania, #country +name
iso_country	object	0.0%	MR, #country +code +iso2
region_name	object	0.0%	Hodh ech Chargui Region, Tiris Zemmour Region, Adrar Region
iso_region	object	0.0%	MR-01, MR-11, MR-07
local_region	float64	8.6%	1.0 – 12.0 (mean 6.0938)
municipality	object	0.0%	Bir Moghrein, Néma, Nouakchott
scheduled_service	float64	2.9%	0.0 – 1.0 (mean 0.0882)
gps_code	object	37.1%	#loc +airport +code +gps, GQNO, GQNH
icao_code	object	40.0%
iata_code	object	45.7%
wikipedia_link	object	37.1%
keywords	object	74.3%
score	float64	2.9%	0.0 – 1000.0 (mean 148.5294)
last_updated	datetime64[ns, UTC]	2.9%
esa_source	object	0.0%
esa_processed	object	0.0%

---

Numeric Summary

Column	Min	Max	Mean	Median
id	3130.0	513281.0	160140.5882	32289.5
latitude_deg	15.1797	25.3658	18.7463	17.6392
longitude_deg	-17.0302	-5.5197	-11.5492	-12.3026
elevation_ft	9.0	1775.0	657.5	707.0
local_region	1.0	12.0	6.0938	6.0
scheduled_service	0.0	1.0	0.0882	0.0
score	0.0	1000.0	148.5294	50.0

---

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. 2 column(s) with >80% missing values were removed: local_code, home_link. 8 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

---

Limitations

• Data originates from OurAirports and has not been independently validated by ESA.
• Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
• The following columns have >20% missing values and should be treated with caution in modelling: gps_code, icao_code, iata_code, wikipedia_link, keywords.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

---

Citation

@dataset{hdx_africa_aviation_mauritania,
  title     = {Airports in Mauritania},
  author    = {OurAirports},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/ourairports-mrt},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

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