Unidentified Flying Objects (UFOs) have long captured our collective imagination, inspiring countless stories, debates, and questions about the unknown. In this era of data-driven exploration, we have a unique opportunity to delve into the world of UFO sightings using a comprehensive dataset. The UFO sightings Dataset was taken from the TidyTuesday project. This dataset compiles a treasure trove of reports, encompassing not just descriptions of UFO encounters, but also their temporal, spatial, and qualitative dimensions. Our journey through this dataset begins with an exploration of its provenance and dimensions, setting the stage for a systematic analysis aimed at unraveling the mysteries of UFO sightings. Through this report, we embark on an intellectual adventure to reveal the temporal and spatial patterns, examine correlations, and open the door to a world where the unexplained meets data-driven discovery.
View the complete project here
This project was developed by DataInk Drinkers For INFO 526 - Data Analysis and Visualization at the University of Arizona, taught by Dr. Greg Chism. The team is comprised of the following team members.
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Partha Koundinya P : Graduate Student majoring in Data Science
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Swati Das : Graduate Student majoring in Data Science
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Tejashwini K : Graduate Student majoring in Data Science
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Chethana T S K : Graduate Student majoring in Data Science
TidyTuesday Data - UFO Sightings Data
Derived from the original course by Mine Çetinkaya-Rundel @ Duke University