911 Call Analysis

Project Description

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.

Dataset

The project utilizes a dataset containing information about emergency calls, including the reason for the call, timestamp, and other relevant details.

Analysis and Visualization

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.

Usage

To use this project:

1. Obtain the emergency call dataset in a tabular format.
2. Load the dataset into a suitable environment or programming language.
3. Run the provided code or adapt it to your specific dataset and analysis requirements.
4. Explore the visualizations generated to gain insights into the emergency call data.
5. Further customize the code or visualizations as needed.

Requirements

The project requires the following libraries:

• Pandas
• NumPy
• Matplotlib
• Seaborn
• SciPy

Contributors

This project was developed by Nafisa Lawal Idris. Contributions and feedback are welcome.

Conclusion

The 911 Call Analysis project provides a comprehensive analysis of emergency call data, enabling insights that can inform decision-making and improve emergency services.