Rolling or moving averages are a way to reduce noise and smooth time series data. During the Covid-19 pandemic, rolling averages have been used by researchers and journalists around the world to understand and visualize cases and deaths. This post will cover how to compute and visualize rolling averages for the new confirmed cases and […]
This post is an update from the previous post, “How to geocode a CSV of addresses in R”. We will be using the ggmap package again, and be sure to investigate the usage and billing policy for Google’s Geocoding API. Read full post here.
This is a quick introduction on how to get and visualize Google search data with both time and geographical components using the R packages gtrendsR, maps and ggplot2. In this example, we will look at search interest for named hurricanes that hit the U.S. mainland and then plot how often different states search for “guns.” […]
From the post: Have you ever come across a resource that you didn’t know existed, but once you find it you wonder how you ever got along without it? I had this feeling earlier this week when I came across the New York Times API. That’s right, the paper of record allows you–with a little […]
