Dataset Viewer
Auto-converted to Parquet Duplicate
source_record_id
stringclasses
1 value
country_iso3
stringclasses
1 value
country_name
stringclasses
1 value
source_sheet
stringclasses
1 value
methodedecollecteenquetera
stringclasses
1 value
frequencedeproductionirregul
stringclasses
1 value
delaidediffusion
stringclasses
1 value
lindicateurestildiffusepre
stringclasses
1 value
niveaudedesagregationagese
stringclasses
1 value
statutdelindicateurdefiniti
stringclasses
1 value
uniteechellemilliermi
stringclasses
1 value
source
stringclasses
1 value
methodedacces
stringclasses
1 value
source_period_start_year
int64
source_period_end_year
int64
source_period_label
stringclasses
0 values
source_provider
stringclasses
1 value
source_dataset
stringclasses
1 value
source_resource
stringclasses
1 value
source_package_id
stringclasses
1 value
source_resource_id
stringclasses
1 value
source_url
stringclasses
1 value
license_id
stringclasses
1 value
retrieved_at
stringclasses
1 value
1a1ecff4-a1b1-4a93-b7b9-fb54e70cb083:odd-1521-progres:0
SEN
Senegal
ODD 1521_Progrès
cartographie/rapports/missions
quinquennale
quinquennale
non
région
Définitif
%
comité FRA
Rapport de performance du METE
null
null
null
DPVE
Proportion de terres dégradées
META DATA
b859fc48-cb4b-42c3-9a83-2e050d878415
1a1ecff4-a1b1-4a93-b7b9-fb54e70cb083
https://agridata.ansd.sn/dataset/b859fc48-cb4b-42c3-9a83-2e050d878415/resource/1a1ecff4-a1b1-4a93-b7b9-fb54e70cb083/download/dpve_ind8.xlsx
cc-by
2026-07-27T11:04:43Z

Proportion De Terres Degradees | Africa (DPVE)

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

rows countries period indicators license

TL;DR

This dataset contains 1 rows from DPVE, covering Proportion De Terres Degradees. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Transport datasets help analysts examine mobility, infrastructure, passenger movement, logistics, and access to services.

Source-provided context: Proportion de terres dégradées

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: source_period_start_year.
  • Time coverage basis: source_period_start_year.
  • Recommended join keys: country_iso3 where available plus source-specific keys.

Coverage

Dimension Value
Rows 1
Countries/areas 1
First period detected
Last period detected
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
SEN 1 detected detected Senegal

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. 1a1ecff4-a1b1-4a93-b7b9-fb54e70cb083:odd-1521-progres:0
country_iso3 dictionary<values=string, indices=int8, ordered=0> ISO3 country or area code. SEN
country_name dictionary<values=string, indices=int8, ordered=0> Country or area name. Senegal
source_sheet string Source column from the original resource. ODD 1521_Progrès
methodedecollecteenquetera string Source column from the original resource. cartographie/rapports/missions
frequencedeproductionirregul string Source column from the original resource. quinquennale
delaidediffusion string Source column from the original resource. quinquennale
lindicateurestildiffusepre string Source column from the original resource. non
niveaudedesagregationagese string Source column from the original resource. région
statutdelindicateurdefiniti string Source column from the original resource. Définitif
uniteechellemilliermi string Source column from the original resource. %
source string Source column from the original resource. comité FRA
methodedacces string Source column from the original resource. Rapport de performance du METE
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. DPVE
source_dataset dictionary<values=string, indices=int8, ordered=0> Source dataset or package title. Proportion de terres dégradées
source_resource dictionary<values=string, indices=int8, ordered=0> Source resource title, table name, or file name. META DATA
source_package_id dictionary<values=string, indices=int8, ordered=0> Source package identifier. b859fc48-cb4b-42c3-9a83-2e050d878415
source_resource_id dictionary<values=string, indices=int8, ordered=0> Source resource identifier. 1a1ecff4-a1b1-4a93-b7b9-fb54e70cb083
source_url dictionary<values=string, indices=int8, ordered=0> Original source URL or download URL. https://agridata.ansd.sn/dataset/b859fc48-cb4b-42c3-9a83-2e050d878415...
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. 2026-07-27T11:04:43Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-senegal-proportion-de-terres-degradees-e0b211d4")
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 "source_period_start_year" in df.columns:
    trend = df.sort_values("source_period_start_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: source_period_start_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

  • Track mobility over time
  • Compare routes or geographies
  • Join with economic and population 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_senegal_proportion_de_terres_degradees_e0b211d4_2026,
  title        = {Proportion De Terres Degradees | Africa (DPVE)},
  author       = {DPVE},
  year         = {2026},
  url          = {https://agridata.ansd.sn/dataset/proportiondeterresdegradees},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-senegal-proportion-de-terres-degradees-e0b211d4}}
}

License

Released under CC BY 4.0.

Original data is published by DPVE. 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/proportiondeterresdegradees

Downloads last month
19

Collection including electricsheepafrica/africa-senegal-proportion-de-terres-degradees-e0b211d4