electricsheepafrica/africa-senegal-variation-des-anomalies-des-temperatures-dans-la-region-de-8e1dc6ad

Variation Des Anomalies Des Temperatures Dans La Region De | Africa (ANACIM)

3,545 rows - 1 Africa country/area - 1900-1991 - 5 indicators - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

TL;DR

This dataset contains 3,545 rows from ANACIM, covering Variation Des Anomalies Des Temperatures Dans La Region De. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Climate and environment datasets help analysts study exposure, resource conditions, environmental pressure, and climate-related trends.

Source-provided context: Ce jeu de données est relatif à l'evolution des temeperatures dans la region de sedhiou de 1999 à 2023.

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

Geographic Coverage

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

Indicators, Variables, Or Resource Contents

• —variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-annee-01935c0d - Variation des anomalies des temperatures dans la region de sedhiou - annee(sourceunitsunspecified)
• —variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-anoma-23e0f3b6 - Variation des anomalies des temperatures dans la region de sedhiou - anomalies dd en jours(sourceunitsunspecified)
• —variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-anoma-e46ee4c6 - Variation des anomalies des temperatures dans la region de sedhiou - anomalies df en jours(sourceunitsunspecified)
• —variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-longu-cbbf7aaf - Variation des anomalies des temperatures dans la region de sedhiou - longueurs en jours(sourceunitsunspecified)
• —variation-des-anomalies-des-temperatures-dans-la-region-de-sedhiou-8e1dc6ad - Variation des anomalies des temperatures dans la region de sedhiou(sourceunitsunspecified)

Schema

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-senegal-variation-des-anomalies-des-temperatures-dans-la-region-de-8e1dc6ad")
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"] == "SEN"]

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: ANACIM
• —Publisher: ANACIM
• —Portal: https://agridata.ansd.sn
• —Resource: Annomalies des temperatures version 1
• —License: Open Data Commons Attribution License
• —Retrieved/generated: 2026-07-27T11:04:51Z
• —Hugging Face repo: electricsheepafrica/africa-senegal-variation-des-anomalies-des-temperatures-dans-la-region-de-8e1dc6ad

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

• —Analyze seasonal or annual patterns
• —Join with agriculture or health data
• —Map geographic exposure
• —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_senegal_variation_des_anomalies_des_temperatures_dans_la_region_de_8e1dc6_1991,
  title        = {Variation Des Anomalies Des Temperatures Dans La Region De | Africa (ANACIM)},
  author       = {ANACIM},
  year         = {1991},
  url          = {https://agridata.ansd.sn/dataset/variationdestemperaturessedhiou},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-variation-des-anomalies-des-temperatures-dans-la-region-de-8e1dc6ad}}
}

License

Released under Open Data Commons Attribution License.

Original data is published by ANACIM. 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 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://agridata.ansd.sn/dataset/variationdestemperaturessedhiou