The project is to create a shiny app either based on your COVID-19 work or on your research or interests that performs a prediction algorithm. The prediction algorithm can be based on any model (though should be more complex than straight arithmetic, like a BMI calculator). In addition, your readme.md file in your github repo should be a brief writeup of your project (no more than a page if your print it up).
The project will include 3 files. First, the necessary files for your shiny app to run, posted to your github repo. In the readme, include a live link to the shiny app and a live link to the hosted video. The video can be hosted on a video hosting service or a file hosting service (Gdrive, onedrive, box, dropbox, ...).
Project grading rubric
Shiny app details [0, 1]
- Does the shiny app run?
- Does the shiny app take data input?
- Does the shiny run calculations and put out data output?
- Is the app documented so that users know how to use the app?
- Is their a live link to the app?
Project details [0, 1]
- Does the algorithm do some non-trivial data processing or analysis?
- Does the algorthm have some display, graphics or output depending on the input?
Quality details (fraction of [0 - 1] scale)
- Novelty
- Quality of underlying algorithm or method
- Quality of implementation
- Quality of output
- Ease of use
- Documentation
Presentation [0, 1], 5 minute video
- Clarity of presentation
- Stayed within the time limit
- Described the scientific background?
- Described the functioning of the app
Github submission [0, 1]
- Does the github submission have a readme describing the app?
- Does the readme accurately describe the app and link to the documentation (may be in the app itself)?
- Does the readme link to the live app?
- Is the code for the app included?
- Is there an example to run the app?
- Does the app run locally?
- Does the readme accurately describe the system / library requirements of the app?