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electricsheepafrica/africa-mauritius-quarterly-export-price-index-by-sitc-a90c4108

Quarterly Export Price Index by Sitc | Africa (MDPA) 17 rows - 1 Africa country/area - 2022 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 17 rows from MDPA, covering Quarterly Export Price Index by Sitc. 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… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-quarterly-export-price-index-by-sitc-a90c4108.

sourceHugging Facecc-by-sa-4.0updated 2mo agoView on Hugging Face
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Quarterly Export Price Index by Sitc | Africa (MDPA)

17 rows - 1 Africa country/area - 2022 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 17 rows from MDPA, covering Quarterly Export Price Index by Sitc. 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: The data shows Quarterly Export Price Index by Standard International Trade Classification upto year 2022.

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

DimensionValue
Rows17
Countries/areas1
First period2022
Last period2022
Indicators0
Columns29
Source formatXLSX

Geographic Coverage

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

AreaRowsFirst yearLast yearName
MU1720222022Mauritius

Indicators, Variables, Or Resource Contents

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

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.3677b3df-fc59-4591-8081-f5aedb1626f8:table-1:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.MU
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.Mauritius
source_sheetstringSource column from the original resource.Table-1
yearint64Observation year.2022
section_0stringSource column from the original resource.Div 00
food_and_live_animalsstringSource column from the original resource.Live animals
d_4055doubleSource column from the original resource.124.0
d_113_7doubleSource column from the original resource.139.1
d_116_8doubleSource column from the original resource.144.9
d_121_8doubleSource column from the original resource.151.7
d_121_4doubleSource column from the original resource.151.0
d_118_4doubleSource column from the original resource.146.7
d_121_5doubleSource column from the original resource.169.1
d_118_8doubleSource column from the original resource.176.4
d_126_9doubleSource column from the original resource.174.6
d_131_9doubleSource column from the original resource.172.3
d_124_8doubleSource column from the original resource.173.1
source_period_start_yearint64Start year inferred from source metadata.2022
source_period_end_yearint64End year inferred from source metadata.2022
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2022
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.MDPA
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Quarterly Export Price Index by SITC
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.EPI_IPI_4Qtr22_240323_1Source_file.xlsx
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.ab7379c1-1398-4d44-971f-563b42eb48c7
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.3677b3df-fc59-4591-8081-f5aedb1626f8
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.govmu.org/dataset/ab7379c1-1398-4d44-971f-563b42eb48c7/r...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.CC-BY-SA-4.0
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-08T16:26:20Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mauritius-quarterly-export-price-index-by-sitc-a90c4108")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

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

Filter By Geography

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

Time-Series Pattern

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

Pivot For Analysis

python
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

bibtex
@misc{electric_sheep_africa_africa_mauritius_quarterly_export_price_index_by_sitc_a90c4108_2022,
  title        = {Quarterly Export Price Index by Sitc | Africa (MDPA)},
  author       = {MDPA},
  year         = {2022},
  url          = {https://data.govmu.org/dataset/quarterly-export-price-index-sitc},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-mauritius-quarterly-export-price-index-by-sitc-a90c4108}}
}

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/quarterly-export-price-index-sitc