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