Suppose you work with the city planners in Chicago as a data scientist

Suppose you work with the city planners in Chicago as a data scientist. Advise on whether they need to install more bike docks at certain bike stations. Their requests are:

1. Identify the stations where they need to install more bike docks (‘dpcapacity’ is the column

for bike docks in the dataset). Provide a brief rationale for your suggestion.

2. Bonus question: identify which stations have more than enough bike docks. Provide a brief

rationale for your suggestion.

Instructions

1. Download the public bikeshare dataset named ‘Divvy_Stations_Trips_2014_Q3Q4’ from

this link. https://divvy-tripdata.s3.amazonaws.com/Divvy_Stations_Trips_2014_Q3Q4.zip

2. Use Python to analyze this dataset.

3. Use either the Q3 or Q4 data or both.

4. Make sure your code is easy to read.

5. Deliverables

a. Write a quick summary of your findings in plain English (no more than 200 words).

b. Share your code.