Distribution
Seasonal and monthly variability
Monthly distribution (Tukey boxplot)
Bivariate relations
Monthly means of the daily values.
Drag across the chart to zoom, double-click to reset.
For each month, over 5 years: median, low and high years (P10 to P90) and extreme values.
Mean of each complete year, as a gap to the period mean (0.533 dimensionless).
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 0.600 | 0.573 | 0.548 | 0.531 | 0.540 | 0.496 | 0.443 | 0.419 | 0.483 | 0.558 | 0.565 | 0.591 | 0.529 |
| 2024 | 0.642 | 0.600 | 0.534 | 0.560 | 0.515 | 0.463 | 0.437 | 0.417 | 0.463 | 0.502 | 0.649 | 0.655 | 0.536 |
| 2023 | 0.631 | 0.554 | 0.542 | 0.556 | 0.508 | 0.466 | 0.472 | 0.455 | 0.513 | 0.502 | 0.559 | 0.648 | 0.534 |
| 2022 | 0.651 | 0.596 | 0.520 | 0.541 | 0.509 | 0.491 | 0.447 | 0.420 | 0.452 | 0.517 | 0.593 | 0.609 | 0.529 |
| 2021 | 0.643 | 0.567 | 0.519 | 0.530 | 0.528 | 0.516 | 0.428 | 0.451 | 0.490 | 0.547 | 0.612 | 0.618 | 0.537 |
| Median | 0.642 | 0.573 | 0.534 | 0.541 | 0.515 | 0.491 | 0.443 | 0.420 | 0.483 | 0.517 | 0.593 | 0.618 | |
| P10 | 0.613 | 0.559 | 0.519 | 0.530 | 0.508 | 0.464 | 0.432 | 0.418 | 0.456 | 0.502 | 0.561 | 0.598 | |
| P90 | 0.648 | 0.598 | 0.546 | 0.558 | 0.535 | 0.508 | 0.462 | 0.454 | 0.504 | 0.554 | 0.634 | 0.652 | |
| Min. | 0.600 | 0.554 | 0.519 | 0.530 | 0.508 | 0.463 | 0.428 | 0.417 | 0.452 | 0.502 | 0.559 | 0.591 | |
| Max. | 0.651 | 0.600 | 0.548 | 0.560 | 0.540 | 0.516 | 0.472 | 0.455 | 0.513 | 0.558 | 0.649 | 0.655 |
1,826 rows, 45 KB. Columns: period, value, unit, confidence level, status.
date,valeur,unite,niveau_confiance,statut 2021-01-01,0.68,1,B,brut 2021-01-02,0.64,1,B,brut 2021-01-03,0.59,1,B,brutDownload the CSV
The same series, versioned, with a free key.
curl -H "Authorization: Bearer kuma_votre_cle" \ "https://api.kumascience.com/v1/series/gin_beyla_kt_nasa_power_2021_2025?format=csv"
Read the published file directly with pandas.
import pandas as pd url = "https://kumascience.com/data/guinee/beyla/kt_nasa_power_journalier_2411.csv" df = pd.read_csv(url) df.head()
2 series published for this variable in Beyla. The gap compares period means, which do not always cover the same years.
| Source | Period | Step | Mean (dimensionless) | Gap | 0.5310.533 |
|---|---|---|---|---|---|
| NASA POWER | 2001-2020 | monthly | 0.531 | −0.4 % | |
| NASA POWER this record | 2021-2025 | daily | 0.533 | reference |
Distribution
Bivariate relations
Kuma Science (2026). Clearness index, Beyla (Guinea), 2021-2025. NASA POWER series, Guinea national energy data reference. DOI 10.5281/zenodo.21051755. https://kumascience.com/en/donnees/gin_beyla_kt_nasa_power_2021_2025
@misc{kuma_gin_beyla_kt_nasa_power_2021_2025,
author = {{Kuma Science}},
title = {Clearness index, Beyla (Guinea), 2021-2025},
year = {2026},
howpublished = {NASA POWER series},
doi = {10.5281/zenodo.21051755},
url = {https://kumascience.com/en/donnees/gin_beyla_kt_nasa_power_2021_2025},
note = {License CC-BY 4.0}
}TY - DATA AU - Kuma Science TI - Clearness index, Beyla (Guinea), 2021-2025 PY - 2026 PB - Kuma Science DO - 10.5281/zenodo.21051755 UR - https://kumascience.com/en/donnees/gin_beyla_kt_nasa_power_2021_2025 N1 - NASA POWER ER -
Also cite the primary source, whose licence applies to the published values.
Astuce pratique · Pour citer cette fiche dans un rapport BE ou un livrable client, sélectionnez le bloc ci-dessus puis copiez-collez. Le slug de la série (le code présent dans l'URL) garantit la reproductibilité : la même URL pointera vers la même série, même après mises à jour des données amont (l'historique versionné côté Data Core est préservé).
Besoin d'aller plus loin sur cette série ? Le cabinet Kuma accompagne bureaux d'études, bailleurs et porteurs de projet sur l'ingénierie énergétique appliquée · audit, dimensionnement PV, conseil stratégique.