Datasets:

electricsheepafrica
/

africa-open-data-barometer-2016

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2,013	Ethiopia	66	8.7	15	11	0	31	null	null	11	12	67	11.25	10	19	13.57	63	0	0	0	53	HDX	2026-04-27
2,015	Nigeria	67	14.13	29	13	3	null	26	26	36	38	65	10	35	11	18.67	65	10	0	0	61	HDX	2026-04-27
2,013	Zambia	75	4.23	12	5	0	24	null	null	16	6	71	5	7	13	8.57	73	0	0	0	53	HDX	2026-04-27
2,014	Nigeria	68	11.53	39	6	6	34	null	null	40	44	56	8	8	10	8.67	82	0	0	13	45	HDX	2026-04-27
2,013	Senegal	71	6.46	29	5	0	22	null	null	51	22	60	5	8	11	8.21	74	0	0	0	53	HDX	2026-04-27
2,014	Ethiopia	78	7.75	16	9	0	26	null	null	16	14	80	8	20	7	11.67	75	0	0	0	65	HDX	2026-04-27
2,016	Botswana	104	5.89	21	4	0	null	38	11	25	19	98	9	11	9	9.67	110	0	0	0	95	HDX	2026-04-27
2,014	Kenya	49	25.8	42	23	20	43	null	null	47	40	52	9	43	22	24.67	52	24	14	13	32	HDX	2026-04-27
2,016	Nigeria	70	20.97	31	7	41	null	25	27	40	37	81	13	11	11	11.67	102	19	45	31	25	HDX	2026-04-27
2,016	Kenya	35	40.42	57	22	58	null	52	57	54	59	37	15	37	21	24.33	67	63	45	31	18	HDX	2026-04-27
null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	HDX	2026-04-27
2,015	Senegal	70	10.33	22	12	0	null	23	11	43	26	73	18	22	11	17	71	0	0	0	84	HDX	2026-04-27
2,013	Botswana	55	16.08	12	22	0	24	null	null	13	9	70	8.75	25	34	23.57	49	0	0	0	53	HDX	2026-04-27
2,013	Tanzania	58	14.51	20	18	0	29	null	null	41	2	65	26.25	22	13	20	56	0	0	0	53	HDX	2026-04-27
null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	HDX	2026-04-27
2,015	Zambia	86	4.91	16	3	0	null	30	5	21	22	83	8	10	11	9.67	88	0	0	0	91	HDX	2026-04-27
2,014	Zambia	78	7.73	19	8	0	19	null	null	24	21	76	15	7	10	10.67	78	0	0	0	65	HDX	2026-04-27
null	Country	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	HDX	2026-04-27
2,016	Benin	103	7.32	13	13	0	null	12	2	37	15	108	19	20	11	16.67	84	0	0	0	93	HDX	2026-04-27
2,016	South Africa	46	34.43	51	28	29	null	24	50	74	57	46	30	24	36	30	59	19	30	20	32	HDX	2026-04-27
null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	HDX	2026-04-27
2,016	Senegal	98	8.74	24	9	0	null	31	15	35	21	92	18	11	11	13.33	96	0	0	0	109	HDX	2026-04-27
2,015	Botswana	78	6.51	18	5	0	null	27	19	20	22	79	10	13	11	11.33	82	0	0	0	69	HDX	2026-04-27
2,016	Ethiopia	81	16.14	47	9	0	null	47	47	49	46	51	9	22	9	13.33	95	0	0	0	98	HDX	2026-04-27
2,013	South Africa	52	19.2	35	18	10	27	null	null	46	40	54	30	9	25	20.71	53	16	12	0	40	HDX	2026-04-27
2,015	Benin	76	8.47	14	13	0	null	16	3	40	13	84	18	17	20	18.33	67	0	0	0	68	HDX	2026-04-27
2,014	Senegal	74	10.56	34	8	0	19	null	null	48	40	62	7	16	8	10.33	79	0	0	0	65	HDX	2026-04-27
2,014	Tanzania	68	11.69	17	15	3	21	null	null	21	15	79	9	27	14	16.67	66	0	0	6	51	HDX	2026-04-27
2,013	Kenya	22	43.06	50	46	22	53	null	null	47	51	34	50	48	40	45.71	17	25	12	23	27	HDX	2026-04-27
2,014	Botswana	78	8.39	26	7	0	29	null	null	27	27	69	8	11	10	9.67	80	0	0	0	65	HDX	2026-04-27
2,015	South Africa	47	26.77	41	20	24	null	17	35	66	52	50	38	13	23	24.67	54	0	43	26	31	HDX	2026-04-27
2,016	Tanzania	67	21.73	40	17	14	null	44	48	37	34	62	13	40	9	20.67	75	28	0	7	54	HDX	2026-04-27

Open Data Barometer 2016 | Africa (original)

Size category: n<1K - Formats: parquet - Sector: humanitarian_development - Engineered by Electric Sheep Africa

TL;DR

This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.

What This Dataset Covers

Public datasets help analysts inspect structured evidence, build reproducible workflows, and compare patterns across domains.

Dataset context from the existing Hugging Face card: Open Data Barometer 2016 Publisher: World Wide Web Foundation · Source: OpenAfrica · License: cc-by · Updated: 2023-04-13 Abstract A global measure of how governments are publishing and using open data for accountability, innovation and social impact. Each row in this dataset represents tabular records. Data was last updated on OpenAfrica on 2023-04-13. Geographic scope: BENIN, BOTSWANA, CAPE-VERDE, ETHIOPIA, KENYA, SENEGAL, SOUTH-AFRICA, TANZANIA, and 2 others. Curated… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-open-data-barometer-2016.

Dataset Profile

Field	Value
Hugging Face repo	`electricsheepafrica/africa-open-data-barometer-2016`
Sector	humanitarian_development
Topic tags	humanitarian, hdx, electric-sheep-africa, accountability, data, democratic-culture, dialogue, governments, innovation, open, social-impact, benin
Modalities	`tabular`, `text`
Formats	`parquet`
Size category	`n<1K`
Countries	Benin, Botswana, Cabo Verde, Ethiopia, Kenya
ISO3 coverage	`BEN`, `BWA`, `CPV`, `ETH`, `KEN`
Last modified on HF	`2026-04-27 22:44:14+00:00`
Inventory snapshot	`2026-07-16T16:00:34Z`

How To Read This Dataset

Start from the repository files and the dataset viewer when available.
Treat the README context as a fast orientation layer; confirm variable definitions and units in the data files before modeling.
Use explicit country columns when present. When geography is only implied by the title or source metadata, document that assumption in downstream analysis.
Preserve missing values until you have a defensible imputation rule.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-open-data-barometer-2016")
print(ds)

split_name = next(iter(ds))
table = ds[split_name]
print(table.features)
print(table[:3])

Convert To Pandas When Tabular

from datasets import Dataset

first_split = ds[next(iter(ds))]
if isinstance(first_split, Dataset):
    df = first_split.to_pandas()
    print(df.head())

Data Quality Notes

This card was standardized from the Electric Sheep Africa Hugging Face metadata inventory.
Exact schema, row counts, and source files should be inspected in the repository data files.
Metadata gaps from the inventory: upstream_publisher.
Do not infer policy meaning from labels alone; confirm definitions, units, and methods in the source material.

Source And Provenance

Source context: original
Publisher/source attribution: original
License: CC BY 4.0
Hugging Face URL: https://huggingface.co/datasets/electricsheepafrica/africa-open-data-barometer-2016
Inventory retrieved at: 2026-07-16T16:00:34Z

Suggested Analyses

Inspect schema and missingness before modeling.
Profile variables by geography, time, and subgroup columns where present.
Join with other Electric Sheep Africa datasets using explicit country, year, and indicator fields when available.
Build reproducible notebooks that cite both the original source context and the Electric Sheep Africa Hugging Face repo.

Citation

@misc{electric_sheep_africa_africa_open_data_barometer_2016_2026,
  title        = {Open Data Barometer 2016 | Africa (original)},
  author       = {original},
  year         = {2026},
  url          = {https://huggingface.co/datasets/electricsheepafrica/africa-open-data-barometer-2016},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-open-data-barometer-2016}}
}

License

Released under CC BY 4.0.

Original source rights remain with the original publisher or data provider. Electric Sheep Africa engineering standardizes discovery metadata, documentation, and usage guidance for analysis on Hugging Face.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.

Provenance: metadata-backed README standardized 2026-08-12 by the Electric Sheep Africa README system. Inventory source: catalog/esa_metadata_inventory/master_metadata.jsonl.

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