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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 Open In Colab
  2. data_preprocessing-EMS-population.ipynb Open In Colab
  3. data-visualization-seaborn.ipynb Open In Colab
  4. data-visualization-plotly.ipynb Open In Colab
  5. plotly_map_plot.ipynb Open In Colab

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


data_preprocessing.ipynb

Clean up the data and fill missing values.


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.


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.


data-visualization-plotly.ipynb

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


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.

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Data Visualization and Geospatial mapping of Allegheny County 911 EMS Dispatches data using plotly, seaborn, mapbox and pandas.

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