pandas | Topic | Ecosyste.ms: Repos

Topic: "pandas"

matchID-project/backend

Backend (Docker & API) for matchID project

Language: Python - Size: 9.98 MB - Last synced at: 5 days ago - Pushed at: 9 days ago - Stars: 11 - Forks: 14

etalab/dashboard-aides-entreprises

Données et dashboard des aides publiques aux entreprises françaises durant la crise COVID-19

Language: JavaScript - Size: 234 MB - Last synced at: 5 days ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 15

entrepreneur-interet-general/solidata_backend

first draft for solidata_backend API

Language: Jupyter Notebook - Size: 47.8 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 1

healthdatahub/applications-du-hdh/cartographie-ecosysteme-snds

The main database of the French National Health Data System (SNDS) contains data from Health Insurance reimbursements, hospital treatment and medical causes of death. In order to characterise its use for health research and innovation, an interactive cartography has been produced to understand the framework of its use and to identify the stakeholders of the SNDS ecosystem. A bibliographic search via PubMed (available here), LiSSa, HAL was conducted to identify scientific articles published starting January 2007 on studies using SNDS data. The list of authors, their affiliations, keywords, the number of citations and much more were collected. A descriptive analysis was carried out in order to assess temporal and geographical trends in the use of SNDS main database. The graphs where generated with networkx, a python package used for the creation manipulation and study of complex networks. To generate the Author/Affiliations graphs we first create the adjacency matrix between the Authors/Affiliations and the article PMIDs. We then use the networkx.Graph class to create the needed undirected graphs, using the adjacency matrices as the data to intialize the graphs.

Last synced at: 4 days ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0