electricsheepafrica/africa-ghana-road-user-class-by-casualty-severity-and-fatality-index-3cda480e

Road User Class by Casualty Severity and Fatality Index | Africa (Ghana Open Data)

124 rows - 1 Africa country/area - 2001-2011 - 4 indicators - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 124 rows from Ghana Open Data, covering Road User Class by Casualty Severity and Fatality Index. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Education datasets help analysts study access, participation, learning systems, infrastructure, and outcomes across places and periods.

Source-provided context: Road User Class by Casualty Severity and Fatality Index Upper West Region

How To Read This Dataset

• One row means: one indicator observation for one geography, time period, and optional source dimensions.
• Primary geography column: country_iso3.
• Best time column: year.
• Time coverage basis: year.
• Recommended join keys: country_iso3, year, indicator_id.

Coverage

Dimension	Value
Rows	124
Countries/areas	1
First period	2001
Last period	2011
Indicators	4
Columns	19
Source format	CSV

Geographic Coverage

Top areas shown below, sorted by row count when available:

Area	Rows	First year	Last year	Name
GHA	124	2001	2011	Ghana

Indicators, Variables, Or Resource Contents

• road-user-class-by-casualty-severity-and-fatality-index-unnamed-2-a7eacac8 - Road User Class by Casualty Severity and Fatality Index - unnamed 2(source_units_unspecified)
• road-user-class-by-casualty-severity-and-fatality-index-unnamed-3-2550d8cb - Road User Class by Casualty Severity and Fatality Index - unnamed 3(source_units_unspecified)
• road-user-class-by-casualty-severity-and-fatality-index-unnamed-4-d26a9b7b - Road User Class by Casualty Severity and Fatality Index - unnamed 4(source_units_unspecified)
• road-user-class-by-casualty-severity-and-fatality-index-unnamed-5-1c3b6458 - Road User Class by Casualty Severity and Fatality Index - unnamed 5(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	road-user-class-by-casualty-severity-and-fatality-index-unnamed-2-a7e...
indicator_name	string	Human-readable indicator name.	Road User Class by Casualty Severity and Fatality Index - unnamed 2
country_iso3	string	ISO3 country or area code.	GHA
country_name	string	Country or area name.	Ghana
year	int64	Observation year.	2011
value	double	Numeric observation value.	6.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_road_user_class_by_casualty_severity_and_fatal	string	Source dimension retained during long-form normalization.	Pedestrian
source_period_start_year	int64	Start year inferred from source metadata.	``
source_period_end_year	int64	End year inferred from source metadata.	``
source_period_label	string	Source column from the original resource.	``
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source dataset or package title.	Road User Class by Casualty Severity and Fatality Index
source_resource	string	Source resource title, table name, or file name.	Road User Class by Casualty Severity and Fatality Index Upper West Re...
source_package_id	string	Source package identifier.	285cfb0a-c6c9-495c-94a7-911ea577346a
source_resource_id	string	Source resource identifier.	67c232fd-ff8c-47bf-a290-ee19a7b7e857
source_url	string	Original source URL or download URL.	http://data.gov.gh/sites/default/files/Road%20User%20Class%20by%20Cas...
license_id	string	Source license identifier.	cc-by
retrieved_at	string	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-07-18T20:11:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ghana-road-user-class-by-casualty-severity-and-fatality-index-3cda480e")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "GHA"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

• Canonical time field: year.
• Missing values are preserved rather than silently imputed.
• Column names are standardized for machine use; source meanings are preserved where known.
• Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

• Source: Ghana Open Data
• Publisher: Ghana official open data portal
• Portal: http://data.gov.gh
• Resource: Road User Class by Casualty Severity and Fatality Index Upper West Region
• License: CC BY 4.0
• Retrieved/generated: 2026-07-18T20:15:33Z
• Hugging Face repo: electricsheepafrica/africa-ghana-road-user-class-by-casualty-severity-and-fatality-index-3cda480e

Transformations Applied

• Converted the source table to Parquet for efficient analytics and ML workflows.
• Added or preserved source provenance columns where available.
• Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
• Preserved source-reported values without analytical imputation.

Suggested Analyses

• Compare education indicators by geography
• Track participation or completion trends
• Join with population and poverty indicators
• Build time-series views and period-over-period comparisons
• Pivot to geography x period or indicator x period matrices
• Check missingness before modeling
• Use country_iso3 as the safest geography join key when present

Citation

@misc{electric_sheep_africa_africa_ghana_road_user_class_by_casualty_severity_and_fatality_index_3cda480e_2011,
  title        = {Road User Class by Casualty Severity and Fatality Index | Africa (Ghana Open Data)},
  author       = {Ghana official open data portal},
  year         = {2011},
  url          = {http://data.gov.gh/dataset/road-user-class-casualty-severity-and-fatality-index},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-road-user-class-by-casualty-severity-and-fatality-index-3cda480e}}
}

License

Released under CC BY 4.0.

Original data is published by Ghana official open data portal. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

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

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Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: http://data.gov.gh/dataset/road-user-class-casualty-severity-and-fatality-index