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项目作者： thoo

项目描述 ：
Data Visualization and Geospatial mapping of Allegheny County 911 EMS Dispatches data using plotly, seaborn, mapbox and pandas.
高级语言： Jupyter Notebook
项目地址: git://github.com/thoo/EMS-Dispatches-Pittsburgh.git
创建时间： 2019-02-16T22:43:14Z
项目社区：https://github.com/thoo/EMS-Dispatches-Pittsburgh
开源协议：
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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.