Prerequisites:
R, Python3, Plotly Dash packages, a GitHub account, and a Heroku account. Participants will be sent installation instructions prior to the class!
Learn how to create lightweight, interactive data visualization apps for medium-sized datasets. This will be useful for introducing students and researchers to basic exploratory data analysis. We will begin with a basic introduction to data frames in Python and R using a basic dataset; then we will see how to render that data as an interactive dashboard in Python and R; finally, we will deploy see what deploying your app to a free public web server in Heroku looks like!
A working example of a web-deployed data visualization app here: GitHub - JohnMulligan/plotly_visualization_workshop
Location
Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.