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analyzing Google's Mobility data to gain insights during the 2020 Pandemic shutdown

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Mobility

analyzing Google's Mobility data to gain insights during the 2020 Pandemic shutdown

Team 63 Project : Kymberly

created 12/22/2020

Data Files Used:

  • Complete_SEDS_update.csv
  • CC-EST2019-ALLDATA-48.csv
  • Counties.csv

Jupyter Notebook Files

  • EDA_Demographics.ipynb : Race, Gender Population Demographic analysis of Texas Counties
  • EDA_PetroleumGas.ipynb : Weekly Supply, Stock and Production numbers in Texas.

Notes/Comments:

  • still working on looking for socioeconomic data to support demographics

Requirements:

Use the requirements.txt file to run

  • matplotlib
  • numpy
  • pandas
  • scipy
  • seaborn

Data Files Used: Information

  • Complete_SEDS_update: (Link) State Energy Data Systems: 1960-2019 : Comprehensive state-level estimates of energy production, consumption, prices, and expenditures by source and sector from 1960-2019

  • CC-EST2019-ALLDATA-48: (Link) Texas annual County Resident Population Estimates by Age, Sex, Race, and Hispanic Origin from 2010 to 2019

  • Counties : (Link) Texas Education Agency Open Data: to find the names associated with the counties in the above data set.

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analyzing Google's Mobility data to gain insights during the 2020 Pandemic shutdown

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