EMS-Dispatches-Pittsburgh

This repository contains jupyter notebooks which explore Allegheny County 911 EMS Dispatches data using Plotly, seaborn and Mapbox.

There are four jupyter notebooks:

1. data_preprocessing.ipynb
2. data_preprocessing-EMS-population.ipynb
3. data-visualization-seaborn.ipynb
4. data-visualization-plotly.ipynb
5. plotly_map_plot.ipynb

All of these notebooks can be opened and run at Google Colaboratory .

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data_preprocessing.ipynb

Clean up the data and fill missing values.

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data_preprocessing-EMS-population.ipynb

EMS-dispatches data only contains such as city name and GEOID but does not include the population. Therefore, the population for each sub-counties of Allegheny is extracted from US Census.

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data-visualization-seaborn.ipynb

This notebook is a walk-through tutorial on an exploratory analysis of EMS dispatches data using Pandas and visualizing with seaborn.

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data-visualization-plotly.ipynb

This notebook takes advantages of Plotly for its interacitve and publication-quality graphs to visualize EMS dispatches data.

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plotly_map_plot.ipynb

A tutorial on how to use Plotly to plot an interactive choropleth map by layering with Mapbox. To use Mapbox, a free regestration is required to obtain a token.