Motor Vehicle Collisions Dashboard for New York City

This repository contains code for a Streamlit application that serves as a dashboard for analyzing motor vehicle collisions in New York City.

Installation

To run the application locally, follow these steps:

1. Clone this repository to your local machine.

   git clone https://github.com/Antisource/MVC.git

2. Install the required dependencies using pip:

   pip install streamlit pandas numpy pydeck plotly

3. Navigate to the directory containing the code.

4. Run the Streamlit application:

   streamlit run app.py

Data Source

The data used in this application is sourced from the Motor Vehicle Collisions - Crashes dataset provided by the City of New York. The dataset is included in the repository as Motor_Vehicle_Collisions_-_Crashes.csv.

Functionality

The dashboard provides the following functionality:

1. Where are the most people injured in NYC?

   • Use the slider to select the number of persons injured in vehicle collisions.
   • The map will display locations where the number of injured persons meets or exceeds the selected threshold.

2. How many collisions occur during a given time of day?

   • Use the slider to select the hour of the day.
   • Displays a heatmap of collisions occurring during the selected hour.

3. Breakdown by minute between selected hours

   • Provides a breakdown of collisions by minute within the selected hour range.

4. Top 5 dangerous streets by affected type

   • Select a type of affected people (Pedestrians, Cyclists, or Motorists) from the dropdown menu.
   • Displays the top 5 dangerous streets based on the selected affected type.

5. Show Raw Data

   • Checkbox option to display the raw data used for analysis.

Acknowledgements

• Data Source: NYC OpenData
• Built with Streamlit
• Visualization with Pydeck and Plotly Express