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Data analysis covering the spread of COVID-19 in relation to demographic factors as well as death rates in the United States.

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jakebyford/covid19-project

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Python Version 3.76

RUN INSTRUCTIONS

Step 1: Installation

To install, use 'pip' or 'easy_install'

$ pip install us
$ pip install uszipcode
$ pip install census
$ pip install ipynb
$ pip install matplotlib
$ pip install pandas
$ pip install numpy
$ pip install pprint
$ pip install scipy

Step 2: Obtain required API Keys in config.py

Step 3: Run the application

Clone the project to local computer/device

Step 4: Execute programs in this order

List notebooks

  • CensusData
  • Deaths By Age
  • CasesAndDeaths
  • Cases_PD
  • Cases_PopDensity
  • CasesVsWealth
  • AllByState
  • IncomePopByState
  • Deaths_Median_Income_Scatter
  • Deaths_Per_Cap_Scatter
  • top_5_per_cap_deaths

ETL Documentation

This file shows how we extracted, transformed, and loaded our data sources for plotting: ETL-Documentation.docx

Data source API's to explore

List our data source API's that we're exploring here.

From the project proposal:

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Data analysis covering the spread of COVID-19 in relation to demographic factors as well as death rates in the United States.

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