electricsheepafrica/africa-north-east-nigeria-nutrition-sector-capacity-partner-mapping-as-of-june-2019

North East Nigeria Nutrition Sector Partner Capacity Mapping as of June 2019

Publisher: iMMAP Inc. · Source: HDX · License: cc-by · Updated: 2025-04-25

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Abstract

The zipped dataset contains a CSV file detailing capacity mapping in the Nutrition Sector in all three crisis-affected states of Borno, Adamawa and Yobe in north east Nigeria. The dataset constitutes a comprehensive mapping of organizations responding on nutrition interventions, implementation capacity, staff in need of nutrition-related training, staff with the capacity to facilitate a training and overall supply (of nutrition commodities to treat SAM, nutrition commodities to treat and prevent MAM, micronutrient supplements, routine medication, infant and young child feeding supplies, as well as assessment items).

Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-04-25. Geographic scope: NGA.

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

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Dataset Characteristics

Domain	Humanitarian and development data
Unit of observation	Tabular records
Rows (total)	28
Columns	4 (0 numeric, 4 categorical, 0 datetime)
Train split	22 rows
Test split	5 rows
Geographic scope	NGA
Publisher	iMMAP Inc.
HDX last updated	2025-04-25

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Variables

Geographic — ix_1_c_4_8å_ói_ò_ìæ4_ð_þ_ð_ð_è_òïß½_xbâ_òy_áïòµ_t_úùý_id (d‰¿Þhw£”%³xVÓ²xä¦;8龡 ÚNúf<Ñdٕ<;ï’?þúgkFඑúü)—ñ”üòe}” ÒĊ7ÊfYå
ˆšÛ´E£Ü§ùßåÆÀ°FÇÔ»Xþ›V‰šhšñ?Ž"ÝwÙé€K…[ÉõAœú³û, Êf4ññÙ´™, ΢Iñ?òÕ-}ŸGʧäÃârùƒe‹Ü™Ýû ýücTŒÐ•¢²‡1ž«ég).

Identifier / Metadata — esa_source (HDX), esa_processed (2026-04-12).

Other — pk (·Ã`©4ÒÛW "Åáø¢, ¤Žxï.BÈÔËon­¾±„y_~ »|t{ÇeéMzóŸ]O¸¨sÑíu¤cg¶²£ø-Ú$lïw:¥Þ6DwpÑé—AµÈ, b´áÈ#ǧ/þ6¸6&€y!f «ùt)MN˜Êªï˜).

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Quick Start

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/africa-north-east-nigeria-nutrition-sector-capacity-partner-mapping-as-of-june-2019")
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
pk	object	0.0%	·Ã`©4ÒÛW "Åáø¢, ¤Žxï.BÈÔËon­¾±„y_~ »
ix_1_c_4_8å_ói_ò_ìæ4_ð_þ_ð_ð_è_òïß½_xbâ_òy_áïòµ_t_úùý_id	object	67.9%	d‰¿Þhw£”%³xVÓ²xä¦;8龡 ÚNúf<Ñdٕ<;ï’?þúgkFඑúü)—ñ”üòe}” ÒĊ7ÊfYå ˆšÛ´E£Ü§ùßåÆÀ°FÇÔ»Xþ›V‰šhšñ?Ž"ÝwÙé€K [ÉõAœú³û, Êf4ññÙ´™, ΢Iñ?òÕ-}ŸGʧäÃârùƒe‹Ü™Ýû ýücTŒÐ•¢²‡1ž«ég
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
No numeric columns.

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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. 6 column(s) with >80% missing values were removed: äÿô_³_æê5m, e_2ë_âg4y_mühê_4ºgiíõá8a, â_üºb, ihàý_ointçå_ký8_sÿ_e¹_ã_p2_ï_q_iaü_p_ôú_ä_ÿ_q_sfâ_ô²_õù_èz13_hèàâ_wâ_â_ìm_g4hïèé_ïm_f_ß77ÿ_s_¹3_cnñgò½9_ûtzxð_ÿ_3_ä_gñ_þm_bþ_0ïoï_nçü_ç_g_ô_ç_g_ùy6à_þæõã_p_ç_êòd_vaw_³_fæ_4_i_dkî½á_nâ_v_à_ä, âìëø_m_ò_nùg_ìñ6n_æ_û, xaycpîü_êýq_d_ùmq. 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 iMMAP Inc. 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: ix_1_c_4_8å_ói_ò_ìæ4_ð_þ_ð_ð_è_òïß½_xbâ_òy_áïòµ_t_úùý_id.
• Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

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Citation

@dataset{hdx_africa_north_east_nigeria_nutrition_sector_capacity_partner_mapping_as_of_june_2019,
  title     = {North East Nigeria Nutrition Sector Partner Capacity Mapping as of June 2019},
  author    = {iMMAP Inc.},
  year      = {2025},
  url       = {https://data.humdata.org/dataset/north-east-nigeria-nutrition-sector-capacity-partner-mapping-as-of-june-2019},
  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.