The 911 Call Analysis project is an exploration and visualization of emergency call data to gain insights into patterns, trends, and important metrics related to emergency incidents.
The project utilizes a dataset containing information about emergency calls, including the reason for the call, timestamp, and other relevant details.
The project involves the following analysis and visualization tasks:
- Data preparation, including cleaning and extracting relevant information.
- Exploratory Data Analysis (EDA) to understand the distribution of emergency calls.
- Visualizing call volume over time.
- Analyzing call reasons.
- Heatmap and Clustermap visualizations.
To use this project:
- Obtain the emergency call dataset in a tabular format.
- Load the dataset into a suitable environment or programming language.
- Run the provided code or adapt it to your specific dataset and analysis requirements.
- Explore the visualizations generated to gain insights into the emergency call data.
- Further customize the code or visualizations as needed.
The project requires the following libraries:
- Pandas
- NumPy
- Matplotlib
- Seaborn
- SciPy
This project was developed by Nafisa Lawal Idris. Contributions and feedback are welcome.
The 911 Call Analysis project provides a comprehensive analysis of emergency call data, enabling insights that can inform decision-making and improve emergency services.