##UFO Sightings: Year
Created using data from the National UFO Reporting Center
Modified from an example made by Mike Bostock.
##UFO Sightings: Year
Created using data from the National UFO Reporting Center
Modified from an example made by Mike Bostock.
##UFO Sightings: Time of Day
Created using data from the National UFO Reporting Center
Modified from an example created by Mike Bostock.
##UFO Sightings: Time of Year
Created using data from the National UFO Reporting Center
##UFO Sightings: Time of Year II
Created using data from the National UFO Reporting Center
Modified from an example created by Mike Bostock that relies on the d3.svg.line.radial() path generator
Forked from Mike Bostock's Example. Displays common machine learning algorithms.
Not bad, apparently.
This chart plots the average emtional valence contained within Yelp reviews for coffee shops across 8 emotions, four positive emotions on the right, and four negative emotions on the left. Interestingly, Starbucks seems to provide a less emotionally rich experience than going to other coffee shops. Possibly, this is due to the fact that Starbucks customers dissproportionally dilute their coffee with cream and sugar, and thus dilute their coffee-drinking experience. The greatest joy seems to be coming from the Other category, possibly a testament to the romance often associated with Independent Coffee shops. Apparently, the most anticipated place is Krispy Kreme. It makes sense, people likely eat donuts much less than they drink coffee, so when they go, it's a specical event.
This chart is built using the the radar-chart-d3 plugin created Alvaro Graves. The emotional valence was estimated using the [syuzhet R package](