electricsheepafrica/africa-3w-operational-presence-december-2017

3W Operational Presence December 2017

Publisher: OCHA Ethiopia · Source: HDX · License: other-pd-nr · Updated: 2024-09-13

---

Abstract

The Who Does What Where is a core humanitarian dataset for coordination. This data contains operational presence of humanitarian partners in Ethiopia at admin3 level by cluster.

Each row in this dataset represents subnational administrative unit observations. Data was last updated on HDX on 2024-09-13. Geographic scope: ETH.

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

---

Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Subnational administrative unit observations
Rows (total)	4,847
Columns	12 (0 numeric, 12 categorical, 0 datetime)
Train split	3,877 rows
Test split	969 rows
Geographic scope	ETH
Publisher	OCHA Ethiopia
HDX last updated	2024-09-13

---

Variables

Geographic — organization_type (International NGO, UN Agency, Governement), region (Somali, Oromia, SNNP), zone (Borena, East Harerge, Bale), woreda (Moyale, Babile, Gursum), woreda_code (ET050201, ET041216, ET041210).

Identifier / Metadata — esa_source, esa_processed.

Other — organization (UNICEF, SCI, NDRMC), sector (WASH, Food, Agriculture), activities (Water, Hygiene, Sanitation), project_status (Completed, Ongoing, Planned), implementing_partner_s (RWB, DPPB, SCI).

---

Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-3w-operational-presence-december-2017")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

---

Schema

Column	Type	Null %	Range / Sample Values
organization	object	0.0%	UNICEF, SCI, NDRMC
organization_type	object	0.0%	International NGO, UN Agency, Governement
region	object	0.0%	Somali, Oromia, SNNP
zone	object	0.1%	Borena, East Harerge, Bale
woreda	object	1.2%	Moyale, Babile, Gursum
woreda_code	object	2.2%	ET050201, ET041216, ET041210
sector	object	0.0%	WASH, Food, Agriculture
activities	object	25.0%	Water, Hygiene, Sanitation
project_status	object	1.7%	Completed, Ongoing, Planned
implementing_partner_s	object	0.0%	RWB, DPPB, SCI
esa_source	object	0.0%
esa_processed	object	0.0%

---

Numeric Summary

Column	Min	Max	Mean	Median
No numeric columns.

---

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. 11,441 exact duplicate rows were removed. 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 OCHA Ethiopia 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: activities.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

---

Citation

@dataset{hdx_africa_3w_operational_presence_december_2017,
  title     = {3W Operational Presence December 2017},
  author    = {OCHA Ethiopia},
  year      = {2024},
  url       = {https://data.humdata.org/dataset/3w-operational-presence-december-2017},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

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