For this project, I have used the NYC citi bike dataset from the year 07/13 to 02/14, The dataset consists of following attributes:
1). Demographics of user( user type, birth year and gender)
2). Trip data (including start station and end station name along with latitude and longitude)
3). Trip duration
The motivation to work on NYC citibike data was to understand the public bike sharing system. The questions which arised in my mind were:
1).How many people use the Citi-bike system?
2).How many trips occur from one station to another?
3). What is the effect on the system usage by users in a longer run?
To answer these questions, I decided to work on making chord diagram using D3.js. The graph’s arc has the street names and the links between them are the trips from one station to another and the thickness of the links corresponds to the number of trips occurring from that location.