Motivation is hard to measure.
It's one of those intangible skills that everyone wants in a friend, coworker, or subordinate. `Data Junkie` is your window into the topics and personal projects that motivate me every single day. Welcome to my journey to become an expert in data science. I am fueled by an unending motivation to work in the field I love.
Google and YouTube are my instructors. Python and R are my preferred tools. Time is my only limitation.
Blog Posts and Projects
Terror on the Strip: Building Event Timelines with Python and GDELT
It all started a few minutes after 10 pm on October 1st. The gunshots sounded like firecrackers at first. People in the crowd didn't understand what was happening when the band stopped playing and Jason Aldean hustled off stage. "That's gunshots," a man said on a cellphone video in the nearly half-minute of silence and confusion that followed. Then the pop-pop-pop noise resumed. And pure terror set in.
Adding Spatial Context Using Local or Web-based Shapefiles
In the world of data science, we embrace the concept of spatial awareness and knowing where the data are (or datum is). In the same way that geospatial grounding (i.e. georeferenced data) brings clarity to a lost traveler, spatial context can bring clarity to a data set. Moreover, this “where” does not always have to apply to a location on the earth’s surface . Spatial context (i.e. analytic geometry), or understanding data in the context of geometric space, is just as enlightening.