
Gisaïa édite la solution open source ARLAS d’exploration et d’analyses Géo Big Data,. ARLAS permet d’accéder rapidement et simplement à de gigantesques volumes de données. Rapide à mettre en place, modulable et efficace, elle s’adapte à tout système d’information déjà en place et au volume de…
Chaque jour, le John Hopkins CSSE publie quotidiennement les données des cas confirmés, guéris et décédés dans le monde, sur le dépôt Github .
Gisaïa réutilise ces données pour son affichage dans ARLAS Exploration .
Terms of Use from the Johns Hopkins CSSE: This GitHub repo and its contents herein, including all data, mapping, and analysis, copyright 2020 Johns Hopkins University, all rights reserved, is provided to the public strictly for educational and academic research purposes. The Website relies upon publicly available data from multiple sources, that do not always agree. The Johns Hopkins University hereby disclaims any and all representations and warranties with respect to the Website, including accuracy, fitness for use, and merchantability. Reliance on the Website for medical guidance or use of the Website in commerce is strictly prohibited.
You have built a more comprehensive database than those presented here? This is the time to share it!
Explore the reuses of this dataset.
Did you use this data ? Reference your work and increase your visibility.
Application
Published on April 20, 2020 by Mohamed Naji
Discussion between the organization and the community about this dataset.