BikeSharingViz

Hereby we are analysing the bike sharing data of Citi Bike in NYC (data of August 2019).

Link to Tableau Dashboard

Hot Locations - Where people will pick up a bike

1 chart in the module

This image shows where people would likely to use a shared bike.

Busy Circle

2 charts in the challenge

• The busy time for shared-bike's utility, by hourly per weekday, shows a circle in the heatmap. Which means in the weekdays, people use bikes to go to/ off from work; in weekends, people take bikes for casual activaties, mostly happens in the afternoon.

• If devided by gender, male and female use bikes in the busi circle. However, gender-undefined people would like to use bike more in the weekends.

Peak Hours

When to do the maintanance - 1 chart from the module

Do people love to subscribe?

1 chart from the challenge

• More male are likely to subscribe, and more gender-undefined people are taking a unsubscribed ride.

Do they ride far?

2 charts from the challenge

• most people drive for 5 minutes as an average

That make sense, because this situations is a standard Biosson distribution.

Link to Dashboard