MTA Subway Origin-Destination Ridership Estimate for 2023.
-
Updated
Aug 14, 2024 - Jupyter Notebook
#
subway-ridership
Here are 3 public repositories matching this topic...
A comprehensive data analysis of the Buenos Aires subway system ridership using Python and Pandas. This project identifies peak-hour congestion patterns, explores hourly passenger distributions, and utilizes the 95th percentile to isolate extreme traffic conditions for urban mobility insights.
python pandas data-visualization statistical-analysis data-analysis matplotlib data-science-portfolio transit-data buenos-aires urban-mobility subway-ridership 95th-percentile
-
Updated
Mar 13, 2026 - Jupyter Notebook
EDA of the effects Major Incidents had on total citywide MTA Subway Ridership from 2020 to 2024
exploratory-data-analysis transportation jupyter-notebook eda mta new-york-city public-transport nyc-opendata 2020-2024 subway-ridership mta-subway
-
Updated
Apr 4, 2025 - Jupyter Notebook
Improve this page
Add a description, image, and links to the subway-ridership topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the subway-ridership topic, visit your repo's landing page and select "manage topics."