Specification for the Python tasks:

1. Import data from the two files station_information.csv and station_status.csv into Python Pandas. (10 points)
2. Make a histogram of the capacity of all Citibike stations. (10 points)
3. Make a scatterplot using the longitude and latitude coordinates of the stations in a map. (20 points)
4. Make a variable which shows the percentage of available bikes (all kinds) in comparison to the capacity of bikes in each station. Then use this variable to control the size of the data point (dot) in the scatterplot to visualize the current availability of each station. (30 points)
5. What is a Python function that uses the latitude and longitude of a potential biker (input) to locate the closest station with an available bike. (30 points)