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Interactive dashboard tracking NYC public transit recovery post-COVID. Built with Python and Dash, it visualizes recovery rates, trends, and KPIs using MTA data. Features dynamic filtering, responsive design, and actionable insights for transit analytics.

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MTA Recovery Dashboard

The MTA Recovery Dashboard is a data visualization project designed to analyze and showcase the recovery trends of New York City's public transit services after the COVID-19 pandemic. It provides users with interactive insights into metrics such as average daily recovery rates, days with 100% or more recovery, and trends over time across various transit services.

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Here is the link to the website: https://sajjadahmadi.pythonanywhere.com


Features

  • Interactive Sidebar:

    • Select a specific service to highlight in charts.
    • Filter data by year and adjust granularity (monthly, weekly, or quarterly).
    • Compare KPIs such as average daily recovery and days of full recovery.
  • Dynamic Visualizations:

    • Bar charts for yearly, monthly, and day-of-the-week recovery rates.
    • Line charts illustrating recovery trends over time.
    • Clear and visually appealing tooltips for better data understanding.
  • Responsive Design:

    • Sidebar adapts for smaller screens with scroll functionality.
    • Clean layout ensures seamless user experience across devices.

Technology Stack

  • Framework: Dash by Plotly
  • Visualization: Plotly for interactive graphs
  • Styling: Bootstrap (Slate Theme)
  • Language: Python
  • Data Source: MTA Public Dataset

About

Interactive dashboard tracking NYC public transit recovery post-COVID. Built with Python and Dash, it visualizes recovery rates, trends, and KPIs using MTA data. Features dynamic filtering, responsive design, and actionable insights for transit analytics.

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