This project is created for CSCI2000 (Scientific Data Analysis) course
The project is analyzing TTC ridership data over the years, during certain time, and who are the riders.
Before running the project make sure you have jupyter notebook installed, if not you can install it by:
- Download Anaconda
- or run this command:
pip install jupyter
Other dependencies you might need to install if not yet:
- Python 3.6 (the version I use during this deployment)
- numpy:
pip install numpy - matplotlib:
pip install matplotlib - pandas:
pip install pandas - folium:
pip install folium - seaborn:
pip install seaborn
Then let's get started with the project
git clone https://github.com/jwdjj/TTC-Ridership-Analysis
cd TTC-Ridership-Analysis/workspace
jupyter notebook main.ipynb and then you can run and edit accordingly
Whole ouput can be viewed in project-executed.pdf
More details and conclusions of this project can be viewed in project-description-and-conclusion.pdf
Most data are taken from Toronto Open Data, because of data limit restriction the data folders are zipped.
If needed, unzip it but Pandas is supposed to be able to read it without unzipping.
Most data are taken from Toronto Open Data