Dockerized Covid Dash in R

Getting Started

This repo contains 3 builds of a Plotly app in R for quantifying covid-related mortality.

It also contains a Dockerfile for deploying local and remote environments.

sample.R displays weekly mortality by for one cause, state, and year
sample_withloop.R -- by multiple years for one cause and state
sample_loop_plus_selector.R -- by multiple years with state, cause, & count type selectors

Clone the fork locally. Substitute your GitHub username.

git clone https://github.com/<username>/plotly_visualization_workshop
cd plotly_visualization_workshop

Build the Plotly Docker image.

docker build -t workshop .

Use a container to test the default sample.R script.

docker run --rm -p 8050:8050 workshop

View running apps by opening a browser window and visiting http://0.0.0.0:8050/. Stop and remove containers by hitting ctrl-c on the command line.

Use containers to test the additional R scripts.

docker run --rm -p 8050:8050 workshop sample_withloop.R
docker run --rm -p 8050:8050 workshop sample_loop_plus_selector.R

Create a new app in Heroku. Substitute a unique string in the app name.

heroku create --stack container viz-workshop-<unique>

Push the code to the Heroku app and deploy.

git push heroku main

After making code changes, test the app locally by following the "Local Deployment" section above.

When ready, commit and push the changes to your GitHub fork.

git add .
git commit -m "<description of changes>"
git push

Deploy the new code to your Heroku app.

git push heroku main

Remove the local Docker image.

docker image rm workshop

Remove the Heroku app.

heroku apps:destroy viz-workshop-<unique>