Inspiration
Lack of intuitive presentation of coronavirus information
What it does
Interactive and intuitive visualisation of real-time coronavirus data and headlines
How I built it
Python + Streamlit framework
Challenges I ran into
Streamlit's markdown + variable presentation. We finally figured out use quotation marks to separate the markdown signs, such as ** xxxxx** and the variables.
Accomplishments that I'm proud of
Shows nearly everything people across the world want to know about their own country and the globe.
What's next for Coronavirus Visualisation and Headlines
Present more information and try to optimise the performance of graph generation.
Built With
- amazon-web-services
- ec2
- newsapi
- pandas
- plotly
- python
- streamlit


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