This has been a wandering and hopefully fun trip through the UFO sightings dataset. We've learned something about the language used in describing close encounters, and we've learned about how to use visualizations, exploratory data analysis, and Naïve Bayesian classification to learn more about the data.
But the primary impression I have of this is the feedback analysis, visualization, and exploration. The visualization led us to topic modeling, and something we discovered there led us to Bayesian classification. This is typical of data analysis, where one thing we learn informs and motivates the next stage in the analysis. Each answer can raise further questions and drive us back into the data.
