electricsheepafrica/africa-kenya-health-infrastructure-in-kisumu-county

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- health
- health-facilities
- ken
pretty_name: "Kenya - health infrastructure in Kisumu county"
dataset_info:
splits:
- name: train
num_examples: 25
- name: test
num_examples: 6
---

# Kenya - health infrastructure in Kisumu county

**Publisher:** Kenya Open Data Initiative (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/kenya-health-infrastructure-in-kisumu-county) · **License:** `cc-by` · **Updated:** 2023-09-28

---

## Abstract

The dataset shows the health infrastructure in Kisumu county as per October 2016

Each row in this dataset represents time-series observations. Temporal coverage is indicated by the `date` column(s). 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** | Time-series observations |
| **Rows (total)** | 32 |
| **Columns** | 7 (1 numeric, 5 categorical, 1 datetime) |
| **Train split** | 25 rows |
| **Test split** | 6 rows |
| **Geographic scope** | KEN |
| **Publisher** | Kenya Open Data Initiative (inactive) |
| **HDX last updated** | 2023-09-28 |

---

## Variables

**Geographic** — `type_of_infrastructure` (Facilities, Beds, Functional Community Units).

**Temporal** — `date`.

**Outcome / Measurement** — `number_of_functional_infrastructure` (range 0.0–1313.0).

**Identifier / Metadata** — `provider` (Public, Faith Based Organization, Non-Government Organization), `esa_source` (HDX), `esa_processed` (2026-04-09).

**Other** — `tier_of_care` (Primary Care facilities, Referral Facilities).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-kenya-health-infrastructure-in-kisumu-county")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `tier_of_care` | object | 0.0% | Primary Care facilities, Referral Facilities |
| `type_of_infrastructure` | object | 0.0% | Facilities, Beds, Functional Community Units |
| `provider` | object | 0.0% | Public, Faith Based Organization, Non-Government Organization |
| `number_of_functional_infrastructure` | int64 | 0.0% | 0.0 – 1313.0 (mean 104.625) |
| `date` | datetime64[ns] | 0.0% | |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-09 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `number_of_functional_infrastructure` | 0.0 | 1313.0 | 104.625 | 9.5 |

---

## 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`. 1 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 Kenya Open Data Initiative (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/kenya-health-infrastructure-in-kisumu-county) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_kenya_health_infrastructure_in_kisumu_county,
title = {Kenya - health infrastructure in Kisumu county},
author = {Kenya Open Data Initiative (inactive)},
year = {2023},
url = {https://data.humdata.org/dataset/kenya-health-infrastructure-in-kisumu-county},
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.*