Research Question:
“How has the outbreak of COVID-19 affected the amount of food measured in LBs distributed by the San Diego Food Bank, and has distribution increased particularly among communities of color and those of limited financial means?”​​​​​​​
My team and I proposed a plan to use Data Science and statistical analysis to investigate the effects of      COVID-19 on San Diego based food bank distribution centers.
Organized and directed dataset cleaning, wrangling, bootstrapping, and analysis of distributed data with the use of Python and Python generated statistical models, charts, and bootstrapping in Jupyterhub. Helped generate heatmaps of population data to distinguish communities most affected and found correlation between variables. Organized and structured overall report on GitHub.
Below is the full detailed report of my team's research report which was also published on Github.
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