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Visually Exploring NYC Subway Journeys

Python 2.67% Jupyter Notebook 84.99% CSS 3.34% JavaScript 9.00%

data_viz_project's Introduction

Visually Exploring NYC Subway Journeys

CUSP Data Visualization Project (Group 7) Demo Will only be functioning for a few months.

Authors: Assel Dmitriyeva, Rachel Xin Rong Lim, Ben Steers

NYC Subways Banner Image

Description: Exploring NYC subway journeys across all lines in the city using MTA GTFS Data Feed from one day in November 2017. We present a visual analytics system for detection, inspection and comparison of spatio-temporal patterns across subways lines. Users can interact with subway map to better understand subway schedules and station information.

The project aims to provide a beautiful and enjoyable way to explore schedule densities between different lines. With this, you can look at a subway line and see what times it is running and what times it isn't. You can also compare the running times between lines to see at what times a train would be available. The Marey Diagram was chosen for it's intuitive display of the subway schedule.

The dataset used was a sample GTFS Subway feed provided by Google Transit API. The data is of Saturday 11/05/2017.

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