electricsheepafrica/africa-chad-chad-public-sector-eb62deb6

Chad Public Sector | Africa (World Bank Group)

900 rows - 1 Africa country/area - 1960-2025 - 1 indicator - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 900 rows from World Bank Group, covering Chad Public Sector. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.

Source-provided context: csv containing Public Sector indicators Indicators: Armed forces personnel, Arms exports, Arms imports, Battle-related deaths, CPIA building human resources rating, CPIA business regulatory environment rating, CPIA debt policy rating, CPIA economic management cluster average, CPIA efficiency of revenue mobilization rating, CPIA equity of public resource use rating, CPIA financial sector rating, CPIA fiscal policy rating, CPIA gender equality rating, CPIA macroeconomic management rating, CPIA policies for social inclusion/equity cluster average, CPIA policy and institutions for environmental sustainability rating, CPIA property rights and rule-based governance rating, CPIA public sector management and institutions cluster average, CPIA quality of budgetary and financial management rating, CPIA quality of public administration rating, CPIA social protection rating, CPIA structural policies cluster average, CPIA trade rating, CPIA transparency, Human Capital Index, IDA resource.

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	900
Countries/areas	1
First period	1960
Last period	2025
Indicators	1
Columns	22
Source format	CSV

Geographic Coverage

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

Area	Rows	First year	Last year	Name
TCD	900	1960	2025	Chad

Indicators, Variables, Or Resource Contents

• chad-public-sector-47c5462a - Chad - Public Sector(source_units_unspecified)

Schema

Column	Type	Description	Example
indicator_id	string	Stable source or Electric Sheep Africa indicator identifier.	chad-public-sector-47c5462a
indicator_name	string	Human-readable indicator name.	Chad - Public Sector
country_iso3	string	ISO3 country or area code.	TCD
country_name	string	Country or area name.	Chad
year	int64	Observation year.	2009
value	double	Numeric observation value.	168000.0
unit	string	Measurement unit, when supplied by the source.	source_units_unspecified
dimension_country_name	string	Source dimension retained during long-form normalization.	Chad
dimension_country_iso3	string	Source dimension retained during long-form normalization.	TCD
dimension_indicator_name	string	Source dimension retained during long-form normalization.	Internally displaced persons (number, high estimate)
dimension_indicator_code	string	Source dimension retained during long-form normalization.	VC.IDP.TOTL.HE
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	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	World Bank Group
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	Chad - Public Sector
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	Public Sector Indicators for Chad
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	194e658b-7dc9-4342-b5e4-87ed300496e8
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	9a2c12ee-2304-4a84-96a1-ac6c191a3290
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/194e658b-7dc9-4342-b5e4-87ed300496e8...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-10T22:51:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-chad-chad-public-sector-eb62deb6")
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"] == "TCD"]

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: World Bank Group
• Publisher: World Bank Group
• Portal: https://data.humdata.org
• Resource: Public Sector Indicators for Chad
• License: CC BY 4.0
• Retrieved/generated: 2026-08-10T23:30:23Z
• Hugging Face repo: electricsheepafrica/africa-chad-chad-public-sector-eb62deb6

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

• Profile the distribution of values
• Compare categories or geographies
• Join with complementary public datasets
• 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_chad_chad_public_sector_eb62deb6_2025,
  title        = {Chad Public Sector | Africa (World Bank Group)},
  author       = {World Bank Group},
  year         = {2025},
  url          = {https://data.humdata.org/dataset/world-bank-public-sector-indicators-for-chad},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-chad-public-sector-eb62deb6}}
}

License

Released under CC BY 4.0.

Original data is published by World Bank Group. 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: https://data.humdata.org/dataset/world-bank-public-sector-indicators-for-chad