The COVID-19 pandemic is currently bringing unprecedented impacts to every aspect of human life. Your challenge is to better understand societal trends in response to COVID-19 through the analysis of remote sensing data and products.
Our project aims to address the challenge of visualizing the impacts of Covid-19 on the world's economy by compiling sets of important data addressing the issue. Our project visually display the impacts of the coronavirus in regards to GDP, GDP growth, and unemployment rates on a website.
At its core, our project is a website on which we have compiled a number of graphs and datasets regarding the economic crisis caused by the pandemic. We think it is important that this information be compiled and easily accessable to anyone searching. We hope to provide the upper mentioned data in a simple, easy to digest way for anyone interested.
We were inspired by the lack of widely accessable public data.We decided to make a simple website displaying a number of graphs that show how trends changed in certain areas.The project is written in python,html and css. We used the python web development library flask, a data visualisation library matplotlib and to connect to our sql server we used the pyodbc library.The main problem we struggled with is that we didn't have much python programming experience so we had to learn a lot of the things on the go in a very short time.
As our goal was to compile and visualize data, we used many different sources including some of the ones provided by NASA, ESA and JAXA. We mainly used the data available at datacommons.org.
https://docs.google.com/presentation/d/125ja5AHAvcfeTZzeD1MzUcwOAIov-oif6MB3RCqEPiA/edit?usp=sharing
https://www.bls.gov
https://ycharts.com
https://datacommons.org
https://fred.stlouisfed.org
(as well as other statistic websites)
As our goal was to compile and visualize data, we used many different sources including some of the ones provided by NASA, ESA and JAXA.
This project has been submitted for consideration during the Judging process.