Analysis and Visualization of MTR Passenger Behavior During COVID-19

With the help of Professor Reynold Cheng we have acquired daily MTR transactions for the months January to August for 2019 and 2020. This data contains 6 columns including Passenger ID, Card type, Entry Station, Exit station, Entry Time and exit time. We aim to explore and analyse this data to find relation between COVID19 spread and public transport. We also aim to build a platform that would provide easy access to this data to the authorised users. Also provide a high level overview by using Visualisations. Finally, also conduct analysis like Someone like you.