This Jupyter Notebook provides an analysis of COVID effects on the Gross Domestic Product (GDP) of the 50 states and Washington, D.C..
Specifically, it provides:
- An analysis of US State GDP data, including an interactive plot of GDP for each state in the US for the timeframe of Q1 2005 through Q1 2021.
- An analysis of US COVID data, including interactive plots for total US cases and cases by each state for the timeframe of January 2020 to July 2021.
- A combined analysis including an overlay plot and map visualizations of US State GDP and COVID data.
- COVID dataset - CDC
- GPD dataset - Bureau of Economic Analysis
This analysis is a Jupyter Notebook that makes use of the following Python libraries:
- Bokeh
- Pandas
- Pathlib
- PyViz - hvPlot library
- PyViz - Plotly Express library
- PyViz - Plotly Graph Objects library
To use this notebook:
- Install Jupyter Lab Version 2.3.1 and Python 3.7.
- Install PyViz visualization package.
- Install Plotly Express version 4.13.0.
- Install hvPlot version 0.7.0 or later.
- Install NodeJS version 12 or later.
- Bokeh, Pandas, and Pathlib should already be included by the previous dependencies. If not, install them.
Open the notebook in Jupyter Lab and you can rerun the analysis.
Here are examples of the interactive plots in this notebook:
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Allen Wong
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Christine Guo
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LaNaya Johnson
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Michael Danenberg
MIT