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electricsheepafrica
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africa-mauritius-budget-data-ministry-of-technology-communication-and-innov-6866de02

Tasks:
Tabular Classification
Tabular Regression
Modalities:
Tabular
Text
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parquet
Languages:
English
Size:
< 1K
Tags:
tabular
africa
open-data
official-statistics
mauritius
mdpa
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africa-mauritius-budget-data-ministry-of-technology-communication-and-innov-6866de02 / README.md
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metadata 
license: cc-by-sa-4.0
language:
  - en
task_categories:
  - tabular-classification
  - tabular-regression
multilinguality: multilingual
size_categories:
  - n<1K
tags:
  - tabular
  - africa
  - open-data
  - official-statistics
  - mauritius
  - mdpa
  - economics
  - finance-and-trade
  - budget
  - cib
  - cisd
  - mtci
  - itsu
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-00000-of-00001.parquet
pretty_name: Budget Data Ministry of Technology Communication and Innov | Africa (MDPA)

Budget Data Ministry of Technology Communication and Innov | Africa (MDPA)

236 rows - 1 Africa country/area - 2017 - source table - Engineered by Electric Sheep Africa

rows countries period indicators license

TL;DR

This dataset contains 236 rows from MDPA, covering Budget Data Ministry of Technology Communication and Innov. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Economic datasets help analysts examine production, prices, public finance, trade flows, market conditions, and macroeconomic change.

Source-provided context: Budget Data for years 2016-2017, 2017-2018, 2018-2019 for MTCI, CISD, CIB and ITSU

How To Read This Dataset

  • One row means: one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available.
  • Primary geography column: country_iso3.
  • Best time column: year.
  • Time coverage basis: year.
  • Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension Value
Rows 236
Countries/areas 1
First period 2017
Last period 2017
Indicators 0
Columns 24
Source format XLSX

Geographic Coverage

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

Area Rows First year Last year Name
MU 236 2017 2017 Mauritius

Indicators, Variables, Or Resource Contents

  • This repo preserves one source tabular resource with its usable columns kept together.

Schema

Column Type Description Example
source_record_id string Stable row identifier assigned during Electric Sheep Africa engineering. d333faef-d9ab-40c6-bab7-ff26c8fa49eb:sheet1:0
country_iso3 dictionary<values=string, indices=int8, ordered=0> ISO3 country or area code. MU
country_name dictionary<values=string, indices=int8, ordered=0> Country or area name. Mauritius
source_sheet string Source column from the original resource. Sheet1
year int64 Observation year. 2017
d_21110 double Source column from the original resource. 0.001
personal_emoluments string Source column from the original resource. Basic Salary
in_post_mar_17 double Source column from the original resource. ``
funded_2017_18 double Source column from the original resource. ``
d_56940000 double Source column from the original resource. 44960000.0
d_55930000 double Source column from the original resource. 45440000.0
d_61735000 double Source column from the original resource. 50935000.0
d_62935000 double Source column from the original resource. 51935000.0
source_period_start_year int64 Start year inferred from source metadata. 2017
source_period_end_year int64 End year inferred from source metadata. 2017
source_period_label dictionary<values=string, indices=int8, ordered=0> Source column from the original resource. 2017
source_provider dictionary<values=string, indices=int8, ordered=0> Publishing organization. MDPA
source_dataset dictionary<values=string, indices=int8, ordered=0> Source dataset or package title. Budget Data Ministry of Technology, Communication and Innovation
source_resource dictionary<values=string, indices=int8, ordered=0> Source resource title, table name, or file name. SOURCE_Budget_Data_MTCI_2017_18_0.xlsx
source_package_id dictionary<values=string, indices=int8, ordered=0> Source package identifier. 15b1c856-4065-4d61-a838-2bbc4e03c2b7
source_resource_id dictionary<values=string, indices=int8, ordered=0> Source resource identifier. d333faef-d9ab-40c6-bab7-ff26c8fa49eb
source_url dictionary<values=string, indices=int8, ordered=0> Original source URL or download URL. https://data.govmu.org/dataset/15b1c856-4065-4d61-a838-2bbc4e03c2b7/r...
license_id dictionary<values=string, indices=int8, ordered=0> Source license identifier. CC-BY-SA-4.0
retrieved_at dictionary<values=string, indices=int8, ordered=0> UTC source retrieval timestamp from the Electric Sheep Africa pipeline. 2026-08-08T16:26:20Z

Usage 

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-budget-data-ministry-of-technology-communication-and-innov-6866de02")
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"] == "MU"]

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

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

  • Build time-series dashboards
  • Compare economic indicators
  • Join with population or sector data
  • Build time-series views and period-over-period comparisons
  • Check missingness before modeling
  • Use country_iso3 as the safest geography join key when present

Citation 

@misc{electric_sheep_africa_africa_mauritius_budget_data_ministry_of_technology_communication_and_innov_6866_2017,
  title        = {Budget Data Ministry of Technology Communication and Innov | Africa (MDPA)},
  author       = {MDPA},
  year         = {2017},
  url          = {https://data.govmu.org/dataset/budget-data-ministry-technology-communication-and-innovation},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-budget-data-ministry-of-technology-communication-and-innov-6866de02}}
}

License

Released under CC BY-SA 4.0.

Original data is published by MDPA. 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.

Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.govmu.org/dataset/budget-data-ministry-technology-communication-and-innovation