electricsheepafrica/africa-chad-lake-chad-basin-dashboard-9842b57f

Lake Chad Basin Dashboard | Africa (Chad official open data)

278 rows - 1 Africa country - 2019 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official XLSX resource from Chad as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Lake Chad Basin Dashboard
• Publisher: OCHA West and Central Africa (ROWCA)
• Resource: lcb_dashboard_data_July2019.xlsx
• Format: XLSX
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
TCD	278	2019	2019	Chad

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	12d37440-7dcc-43fd-86f6-73ce07d22f89:key-figures:0
country_iso3	category	ISO3 country code.	TCD
country_name	category	Country name.	Chad
source_sheet	string	Workbook sheet name, when the source is a spreadsheet.	Key_figures
classification	string	Source column.	people living in affected areas
country	string	Source column.	TCD
date	string	Observation date.	2019-07-10 00:00:00
titles	string	Source column.	people living in affected areas
nombre_d_enregistrements	float64	Source column.	1.0
order	float64	Source column.	1.0
value	float64	Numeric observation value.	616984.0
sources	string	Source column.	HNO/HRP
source_period_start_year	Int64	First year inferred from source resource metadata.	2019
source_period_end_year	Int64	Last year inferred from source resource metadata.	2019
source_period_label	category	Human-readable period inferred from source resource metadata.	2019
source_provider	category	Publishing organization.	OCHA West and Central Africa (ROWCA)
source_dataset	category	Source package title.	Lake Chad Basin Dashboard
source_resource	category	Source resource title.	lcb_dashboard_data_July2019.xlsx
source_package_id	category	CKAN package UUID.	2edb49da-9dd2-4ae1-99f3-485e68256e19
source_resource_id	category	CKAN resource UUID.	12d37440-7dcc-43fd-86f6-73ce07d22f89
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/2edb49da-9dd2-4ae1-99f3-485e68256e19/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-10T22:51:43Z
region	string	Source column.	``
admin2	string	Source column.	``
idps	float64	Source column.	``
refugees	float64	Source column.	``
pcode	string	Source column.	``
pcode2	string	Source column.	``
departement	string	Source column.	``
phase_3	float64	Source column.	``
type	string	Source column.	``
validity	string	Source column.	``
year_of_plan	float64	Source column.	``
montant	float64	Source column.	``
source	string	Source column.	``
year	Int64	Observation year.	``
objectid_1	float64	Source column.	``
objectid	float64	Source column.	``
admin0name	string	Source column.	``
admin0pcod	string	Source column.	``
admin1name	string	Source column.	``
admin2name	string	Source column.	``
admin1pcod	string	Source column.	``
admin2pcod	string	Source column.	``
shape_leng	float64	Source column.	``
shape_area	float64	Source column.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-chad-lake-chad-basin-dashboard-9842b57f")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "TCD"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_chad_lake_chad_basin_dashboard_9842b57f_2019,
  title        = {Lake Chad Basin Dashboard | Africa (Chad official open data)},
  author       = {OCHA West and Central Africa (ROWCA)},
  year         = {2019},
  url          = {https://data.humdata.org/dataset/lake-chad-basin-dashboard},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-lake-chad-basin-dashboard-9842b57f}}
}

License

Released under CC BY 4.0.

Original data (c) OCHA West and Central Africa (ROWCA). When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-08-11 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/2edb49da-9dd2-4ae1-99f3-485e68256e19/resource/12d37440-7dcc-43fd-86f6-73ce07d22f89/download/lcb_dashboard_data_july2019.xlsx