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electricsheepafrica/africa-cote-d-ivoire-productions-importations-et-exportations-de-poisson-et-de-8dcb485c

Productions Importations Et Exportations De Poisson Et De | Africa (Cote d'Ivoire DataFair) 1,080 rows - 1 Africa country/area - 1999-2014 - 1 indicator - Engineered by Electric Sheep Africa TL;DR This dataset contains 1,080 rows from Cote d'Ivoire DataFair, covering Productions Importations Et Exportations De Poisson Et De. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-productions-importations-et-exportations-de-poisson-et-de-8dcb485c.

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Dataset Card

Productions Importations Et Exportations De Poisson Et De | Africa (Cote d'Ivoire DataFair)

1,080 rows - 1 Africa country/area - 1999-2014 - 1 indicator - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 1,080 rows from Cote d'Ivoire DataFair, covering Productions Importations Et Exportations De Poisson Et De. 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: Normalized CSV export exposed by the Data Fair API.

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

DimensionValue
Rows1,080
Countries/areas1
First period1999
Last period2014
Indicators1
Columns22
Source formatCSV

Geographic Coverage

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

AreaRowsFirst yearLast yearName
CIV1,08019992014Côte d'Ivoire

Indicators, Variables, Or Resource Contents

  • —productions-importations-et-exportations-de-poisson-et-de-viande-de-2003-d79208d8 - Productions, importations et exportations de poisson et de viande de 2003 à 2012(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.productions-importations-et-exportations-de-poisson-et-de-viande-de-2...
indicator_namestringHuman-readable indicator name.Productions, importations et exportations de poisson et de viande de ...
country_iso3stringISO3 country or area code.CIV
country_namestringCountry or area name.Côte d'Ivoire
yearint64Observation year.2003
valuedoubleNumeric observation value.156762.08
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_categoriestringSource dimension retained during long-form normalization.Importation
dimension_sous_categoriestringSource dimension retained during long-form normalization.Poissons congelés des dix dernières années
dimension_typestringSource dimension retained during long-form normalization.Poissons congélés
dimension_statutstringSource dimension retained during long-form normalization.Quantité ( en tonnes)
source_period_start_yearint64Start year inferred from source metadata.2003
source_period_end_yearint64End year inferred from source metadata.2012
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2003-2012
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.MIRAH/DAP
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.Productions, importations et exportations de poisson et de viande de ...
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.Productions, importations et exportations de poisson et de viande de ...
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.chiffres-sur-la-production-les-importations-et-exportations-de-poisso...
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.chiffres-sur-la-production-les-importations-et-exportations-de-poisso...
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.gouv.ci/data-fair/api/v1/datasets/chiffres-sur-la-produc...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.other-open
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-27T10:23:33Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-cote-d-ivoire-productions-importations-et-exportations-de-poisson-et-de-8dcb485c")
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"] == "CIV"]

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
  • —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

bibtex
@misc{electric_sheep_africa_africa_cote_d_ivoire_productions_importations_et_exportations_de_poisson_et_de_8_2014,
  title        = {Productions Importations Et Exportations De Poisson Et De | Africa (Cote d'Ivoire DataFair)},
  author       = {MIRAH/DAP},
  year         = {2014},
  url          = {https://data.gouv.ci/datasets/chiffres-sur-la-production-les-importations-et-exportations-de-poissons-et-de-viande},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-cote-d-ivoire-productions-importations-et-exportations-de-poisson-et-de-8dcb485c}}
}

License

Released under other-open.

Original data is published by MIRAH/DAP. 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.gouv.ci/datasets/chiffres-sur-la-production-les-importations-et-exportations-de-poissons-et-de-viande