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
numpy exploratory-data-analysis decision-making pandas data-visualization seaborn scipy data-analysis matplotlib cluster-analysis resource-allocation heatmaps emergency-services emergency-calls patterns-and-trends
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Updated
Jun 12, 2023 - Jupyter Notebook