Motivation Presenting information to client or colleagues, specifically those unfamiliar with the data, can be a complex task. Maintaining viewer attention, creating relatable information and conveying meaning are all important goals when presenting data. How can we reach those goals? Project Let’s learn how to visualize the frequency of UFO sighting in…

Inspiration From 2009 to 2016, NASA’s Kepler Mission set out to study the probability that objects of interest revolving around candidate stars could be classified as exoplanets. I had been interested in this mission years ago, going so far as helping out with the Planet Hunters project. Years later, while poking…

(Part Three) Recap In the previous two posts we imported a corpus of QAnon drops, split it and extracted a vector-space embedding of the individual words. What Happens Now In this part we will take our newly vectorized data and pass it into a k-means classifier. Our hope here is to split each word…

(Part Two) Recap To catch up, we are discovering sentiment in QAnon drops using an unsupervised (k-means clustering) approach. In my previous post we imported our data into a pandas dataframe and did some initial data cleaning. What happens now In this article we take our logical next step, translating the QAnon drops into…