The purpose of this challenge was to create visualizations in Tableau to present to investors regarding a bikesharing business. These visualizations show the length of time that bikes are checked out for all riders and genders, the number of bike trips for all riders and genders for each hour of each day of the week, and the number of bike trips for each type of user and gender for each day of the week.
The above visualization shows that the vast majority of bike rides are between 5 and 10 minutes long.
This visualization shows how male dominant the checkout times are.
This heatmap shows that 5 and 6 pm are the most popular times for bike trips.
It also shows that Monday, Tuesday, and Thursday are the most popular days.
This visualization reiterates that the bike clientel is male heavy and that the most popular times for a ride are 5 and 6 pm.
This visualization shows that the vast majority of users are subscribers, as opposed to customers.
This is a pie chart that shows the gender breakdown. You can hover over the sections to see detailed information.
This map shows the top ending locations for bike trips in NYC.
The density of trips is represented by the size and color of the circles.
The results show that there is a large percentage of male riders. It also revealed that most people use the service on a subscriber basis. Additionally, the analysis showed that the most popular times to ride are when people are typically getting off work, around 5 or 6 pm. For another visualization, I would look to gain insight on the kinds of transport women use. Gaining more female customers could potentially benefit business greatly. Lastly, I would look to create a visualization that shows how popular biking is during the winter months. This would help give a better idea as to whether this could be a year round business.