electricsheepafrica/africa-national-registered-deaths-by-major-causes-2010-2013

---
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
- fatalities
- health
- ken
pretty_name: "National Registered Deaths by Major Causes: 2010 – 2013"
dataset_info:
splits:
- name: train
num_examples: 8
- name: test
num_examples: 2
---

# National Registered Deaths by Major Causes: 2010 – 2013

**Publisher:** Kenya National Bureau of Statistics (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/national-registered-deaths-by-major-causes-2010-2013) · **License:** `other-pd-nr` · **Updated:** 2025-02-06

---

## Abstract

The dataset shows the Nationally Registered Deaths by Major Causes: 2010 – 2013 in kenya 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** | 7 (4 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** — `esa_source` (HDX), `esa_processed` (2026-04-07).

**Other** — `cause` (AIDS, Anaemia, Cancer), `2010` (range 3757.0–70389.0), `2011` (range 4382.0–73425.0), `2012` (range 4480.0–79228.0), `2013` (range 4265.0–84539.0).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-national-registered-deaths-by-major-causes-2010-2013")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `cause` | object | 0.0% | AIDS, Anaemia, Cancer |
| `2010` | int64 | 0.0% | 3757.0 – 70389.0 (mean 16827.2727) |
| `2011` | int64 | 0.0% | 4382.0 – 73425.0 (mean 16604.7273) |
| `2012` | int64 | 0.0% | 4480.0 – 79228.0 (mean 17073.7273) |
| `2013` | int64 | 0.0% | 4265.0 – 84539.0 (mean 17666.5455) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-07 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `2010` | 3757.0 | 70389.0 | 16827.2727 | 11712.0 |
| `2011` | 4382.0 | 73425.0 | 16604.7273 | 11149.0 |
| `2012` | 4480.0 | 79228.0 | 17073.7273 | 10611.0 |
| `2013` | 4265.0 | 84539.0 | 17666.5455 | 11186.0 |

---

## 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-registered-deaths-by-major-causes-2010-2013) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_national_registered_deaths_by_major_causes_2010_2013,
title = {National Registered Deaths by Major Causes: 2010 – 2013},
author = {Kenya National Bureau of Statistics (inactive)},
year = {2025},
url = {https://data.humdata.org/dataset/national-registered-deaths-by-major-causes-2010-2013},
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.*