Covid-19 had changed our personal lives dramatically. One of the significant changes within the lifestyle is the way of how we keep ourselves safe. The Centers for Disease Control and Prevention - CDC had released plenty of hygiene guidelines people should follow to be safe.It also declared that wearing a cloth mask helps decrease the infection chances in the closed areas. Additionally, it said that people with underlying medical complications or fall into specific age categories would be at high risk of contracting the virus. A lot of data was released per state per zip code areas, counting the number of cases per age category. To keep track of the cases, I decided to create an interactive dashboard tracking the number of cases in the US per zip code.
It is hard to navigate to any public news website to know the latest number of confirmed cases in a specif state. For that purpose, an interactive dashboard would be a good alternative, where it is easy to read without reading in long articles.
To design a well communicative dashboard, we need to identify the major features we may include. Some of the preliminary features would be:
For this project, I would rely on the data that most news used from the Johns Hopkins University Center for Systems Science and Engineering. I intend to use the COVIDTracking repository, where it has the features I need to build the dashboard.
To accomplish the project’s goals, I would prefer to use Python as a back-end language to clean up and prepare the visualization data. I would use the Flask/Dash-render combined with some react components to make the rendering quick. I would also make use of MongoDB to manage the back-end when hosted to Heroku.