This project addresses the challenge by finding an innovative way of presenting and analyzing integrated data about environmental and social factors affecting the spread of COVID-19. By gathering and merging data into a single API, we make this information more accessible and straightforward to use; therefore, it presents the data in a different and new way that allows users to get and analyze it. The solution is usable by anyone since we developed a technical API and an open website. With both of them, it's possible to merge, integrate, and examine potential links between human health factors.
We developed our project in three stages:
1 - Collect and classify data: we went through all the links available in all challenges classifying them in Geographical, Health, or Social/Economics, checking their formats and gathering downloadable pages.
2 - Developing the API: we created an open-source python library named pyspace-api that requests and downloads the datasets, create some statistics and analysis. The library is available at https://pypi.org/project/pyspace-api/, and the code is available at https://github.com/lusmoura/Nasa-space-apps.
3 - Developing the website: using our API, HTML, CSS, and javascript, we developed a website to show graphs, data, and information about the team and the project. The site is available at http://spaceapi.co/.
https://drive.google.com/file/d/1YSkyYfFypy5FoaqQCcEnsgo9EZYiwQzD/view?usp=sharing
Since the goal is to gather information and make access more convenient, we used datasets from Nasa, Jaxa, and ESA. The initial version counts with the following resources, but the idea is to improve the API and the website, so they contain even more data: