Over the last 2-3 months I’ve been playing with hops data from the Beer Maverick website, where they have profiles of hundreds of hops based on aroma/flavor data. This type of data is a natural for a network graph, where we can see the relationships between hops and the aroma characteristics; hops with similar profiles…
Tag: data visualization
Hop Network, Part 2
I recently posted about developing a hop network using data from the Beer Maverick site. As I slowly add data the network graph can be refreshed and tweaked; eventually I’ll land on a combination of styles, colors, and sizes that optimize the graph for interactive exploration. For the latest rendition, we’re up to 10 hops,…
Top 500 Beers Mapping Project
My latest idea is to attempt to map top rated beers, based on the average rating given by users at RateBeer.com. Using the GraphiQL interface, I can create a query that pulls these beers (100 at a time) into a .json format that can then be copied into any code editing software. The ultimate goal…
Exploratory Shout-Out
In previous posts, I used Exploratory, the powerful front end for R, to start analyzing beer data from the RateBeer API. This week’s Exploratory newsletter links to my two recent posts, which was really nice to see. Future posts will continue to use Exploratory to dive into the data; it’s a great tool already, and…
Brewery Charts Using Exploratory
As I continue to explore the RateBeer API data, I’m playing with different software tools that will help me create some compelling data visualizations. I’ve already considered the likes of Gephi, sigma.js, and Mapbox for network and geographic visuals. None of these tools can be used to create more conventional charts, however. For this capability,…