Datasets:
Tasks:
Tabular Classification
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
africa
humanitarian
hdx
electric-sheep-africa
epidemics-outbreaks
governance-and-civil-society
License:
| annotations_creators: | |
| - no-annotation | |
| language_creators: | |
| - found | |
| language: | |
| - en | |
| license: other | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - n<1K | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - tabular-classification | |
| task_ids: [] | |
| tags: | |
| - africa | |
| - humanitarian | |
| - hdx | |
| - electric-sheep-africa | |
| - epidemics-outbreaks | |
| - governance-and-civil-society | |
| - health | |
| - ken | |
| pretty_name: "National Top 10 Incidences of Diseases: 2009 to 2013" | |
| dataset_info: | |
| splits: | |
| - name: train | |
| num_examples: 8 | |
| - name: test | |
| num_examples: 2 | |
| # National Top 10 Incidences of Diseases: 2009 to 2013 | |
| **Publisher:** Kenya National Bureau of Statistics (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/national-top-10-incidences-of-diseases-2009-to-2013) · **License:** `other-pd-nr` · **Updated:** 2025-02-06 | |
| --- | |
| ## Abstract | |
| This dataset shows the National Top 10 Incidences of Diseases in kenya for the period of : 2009 to 2013 as reported by the Kenya National Bureau of statistics | |
| Each row in this dataset represents tabular records. Data was last updated on HDX on 2025-02-06. Geographic scope: **KEN**. | |
| *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).* | |
| --- | |
| ## Dataset Characteristics | |
| | | | | |
| |---|---| | |
| | **Domain** | Public health | | |
| | **Unit of observation** | Tabular records | | |
| | **Rows (total)** | 11 | | |
| | **Columns** | 8 (5 numeric, 3 categorical, 0 datetime) | | |
| | **Train split** | 8 rows | | |
| | **Test split** | 2 rows | | |
| | **Geographic scope** | KEN | | |
| | **Publisher** | Kenya National Bureau of Statistics (inactive) | | |
| | **HDX last updated** | 2025-02-06 | | |
| --- | |
| ## Variables | |
| **Identifier / Metadata** — `disease_name` (Accidents (incl. fractures, burns etc), All Other Diseases, Diarrhoea Diseases), `esa_source` (HDX), `esa_processed` (2026-04-07). | |
| **Other** — `2009` (range 387066.0–9833701.0), `2010` (range 419298.0–11371889.0), `2011` (range 374886.0–11150223.0), `2012` (range 357844.0–12215993.0), `2013` (range 349632.0–14823864.0). | |
| --- | |
| ## Quick Start | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("electricsheepafrica/africa-national-top-10-incidences-of-diseases-2009-to-2013") | |
| train = ds["train"].to_pandas() | |
| test = ds["test"].to_pandas() | |
| print(train.shape) | |
| train.head() | |
| ``` | |
| --- | |
| ## Schema | |
| | Column | Type | Null % | Range / Sample Values | | |
| |---|---|---|---| | |
| | `disease_name` | object | 0.0% | Accidents (incl. fractures, burns etc), All Other Diseases, Diarrhoea Diseases | | |
| | `2009` | int64 | 0.0% | 387066.0 – 9833701.0 (mean 2905534.2727) | | |
| | `2010` | int64 | 0.0% | 419298.0 – 11371889.0 (mean 3478372.4545) | | |
| | `2011` | int64 | 0.0% | 374886.0 – 11150223.0 (mean 3484770.6364) | | |
| | `2012` | int64 | 0.0% | 357844.0 – 12215993.0 (mean 3580971.3636) | | |
| | `2013` | int64 | 0.0% | 349632.0 – 14823864.0 (mean 3966956.0909) | | |
| | `esa_source` | object | 0.0% | HDX | | |
| | `esa_processed` | object | 0.0% | 2026-04-07 | | |
| --- | |
| ## Numeric Summary | |
| | Column | Min | Max | Mean | Median | | |
| |---|---|---|---|---| | |
| | `2009` | 387066.0 | 9833701.0 | 2905534.2727 | 1018151.0 | | |
| | `2010` | 419298.0 | 11371889.0 | 3478372.4545 | 1081317.0 | | |
| | `2011` | 374886.0 | 11150223.0 | 3484770.6364 | 1100997.0 | | |
| | `2012` | 357844.0 | 12215993.0 | 3580971.3636 | 1135046.0 | | |
| | `2013` | 349632.0 | 14823864.0 | 3966956.0909 | 1282996.0 | | |
| --- | |
| ## 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`. 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 Kenya National Bureau of Statistics (inactive) 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](https://data.humdata.org/dataset/national-top-10-incidences-of-diseases-2009-to-2013) for the publisher's own methodology notes and caveats. | |
| --- | |
| ## Citation | |
| ```bibtex | |
| @dataset{hdx_africa_national_top_10_incidences_of_diseases_2009_to_2013, | |
| title = {National Top 10 Incidences of Diseases: 2009 to 2013}, | |
| author = {Kenya National Bureau of Statistics (inactive)}, | |
| year = {2025}, | |
| url = {https://data.humdata.org/dataset/national-top-10-incidences-of-diseases-2009-to-2013}, | |
| note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)} | |
| } | |
| ``` | |
| --- | |
| *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.* |