Over the last month or so, I’ve been working a lot with Plotly to visualize data for my World Regional Geography course. Plotly is a web-based service that allows for the creation of interactive, D3-based visualizations that can be easily shared. Visualizations are deployed and hosted on Plotly’s servers, so the service requires a connection to the internet to work. One of the great things about Plotly is that it has APIs for popular data programming languages like R, Python, and Julia.
Welcome! This is the first post of my effort to document my foray into developing interactive data visualizations for use in my teaching. Hopefully these examples will be of use to some readers who are interested in creating their own visualizations. I’ll first provide a bit of background. I’m a geography professor at Texas Christian University in Fort Worth, and started getting interested in data visualization when putting together materials for a course I taught in population geography last spring.