Daily ground measurements of GHI and DNI in Kankan, 2021-2023 (ESMAP / WAPP)

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Full dataset

This is the Parquet file the table reads. It opens in pandas, R, DuckDB or QGIS.

Read the file

The Parquet file can be read straight from its URL, without downloading it first.

import pandas as pd

df = pd.read_parquet("https://kumascience.com/data/jeux/terrain-kankan-journalier.parquet")
df.groupby("localite_nom")["ghi"].mean().sort_values()

library(arrow)

df <- read_parquet("https://kumascience.com/data/jeux/terrain-kankan-journalier.parquet")
head(df)

INSTALL httpfs; LOAD httpfs;

SELECT *
FROM read_parquet('https://kumascience.com/data/jeux/terrain-kankan-journalier.parquet')
LIMIT 10;

Original files

The CSV files published in the RDS Guinea repository, archived under a DOI: the reference to cite.

DOI 10.5281/zenodo.21051754

Cite this dataset

CC BY 4.0. World Bank / ESMAP / WAPP, Solar resource measurement campaign in West Africa (CC BY 4.0).