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https://github.com/nafisalawalidris/911-call-analysis

The 911 Call Analysis project explores and visualises emergency call data to uncover patterns and trends. It includes data preparation, exploratory analysis, visualizing call volume and reasons and generating heatmaps. Users can customize the code for their dataset. The project relies on libraries like Pandas, NumPy, Matplotlib, Seaborn, and SciPy
https://github.com/nafisalawalidris/911-call-analysis

cluster-analysis data-analysis data-visualization decision-making emergency-calls emergency-services exploratory-data-analysis heatmaps matplotlib numpy pandas patterns-and-trends resource-allocation scipy seaborn

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The 911 Call Analysis project explores and visualises emergency call data to uncover patterns and trends. It includes data preparation, exploratory analysis, visualizing call volume and reasons and generating heatmaps. Users can customize the code for their dataset. The project relies on libraries like Pandas, NumPy, Matplotlib, Seaborn, and SciPy

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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.