Toronto Transit Heat Map

This repository contains the code for my data visualization project. Feel free to fork this code to modify the data visualization for Toronto, or use the code as an inspiration to do the same visualization for other cities.

Example Results

How to Run

Data Gathering

I have already provided some data in the form of JSON files under the data directory. However, you can also use the get_data.py script to gather your own data. You will require a Google Maps API key with the Directions API enabled. You'd want to add this to a .env file like this:

GOOGLE_MAPS_API_KEY=YOUR_API_KEY_HERE

You can also tweak the gap parameter of the create_grid function if you wish to have more precision in your data. Note: This will increase the amount of Google Maps API calls and thus the cost. You can change the destination parameter of the calculate_time_to_travel function to gather data about different destinations. You can also change the departure time by tweaking the departure_time parameter.

Data Visualizing

You can use the visualize.py script to visualize your data. The data must be in JSON format similar to the get_data.py output. There are three parameters of the create_interpolated_heatmap function that you can tweak. The resolution parameter controls how smooth the heatmap will be. The a_min and a_max parameters can be used to set a minimum and maximum travel time displayed on the heatmap respectively. This allows you to minimize the effects of outliers. Remember to change the destination parameter of plot_heatmap function to plot the correct destination marker on the final heatmap.