The candidate is the main focus of the election campaign, where marketing is carried out by introducing his/herself, and his/her electoral program to the electorate.
Imagine that he/she could reach the largest possible number of residents and convey to them his/her ideas and proposals for the development of the country! This will definitely help in increasing the number of votes for him/her.
In this project, we aim to locate the busiest stations in New York City and targeting it for the compaign.
Given a sample of MTA turnstile data, we are challenged to determine the busiest station districts in New York City.
The data to be tested in this project is a sample of Turnstile data set. And since the majority of election campaigns happen at the end of the year, the sample to be selected will be between September 2018 to December 2018.
Source: http://web.mta.info/developers/turnstile.html
- Software Platform: Jupyter Notebook
- Programming Language: Python
- Libraries:
- Data manipulation libraries:
- Pandas
- Numpy
- Visualization libraries
- Matplotlib
- Seaborn
- Storage libraries
- Sqlalchemy
- Data manipulation libraries: