In this hypothetical study, I searched for the best hours to place ads for Korea's Seoul Bicycle Rental Scene. I cleaned the data by removing outliers, duplicates, and any missing data. I than took python and coded various iterations of what the data could tell me about Seoul's Bike Rental population and then added Tableau Charts to get Seasonal and daily rentals that can then be correlated to weather and other occasions such as holiday and travel.
My analysis has led me to believe that the best hours to advertise and get partnerships are during the evening where there are more rentals than the morning.
This presentation is a consumable presentation of the data that I found.
This notebook is what I used to develop my Report.