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deaths

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This repository contains a simple (and brief) exploratory data analysis focused on the crisis of the COVID-19 coronavirus pandemic in Spain and its different provinces. The aim is to show the evolution of reported cases, deaths and recoveries using the new daily information of new cases, deaths or recoveries, their cumulative sum and their rate of variation (daily and cumulative). The data are automatically extracted from the official source (epdata.es).

  • Updated Feb 15, 2021
  • Python
Covid-19-Outcomes-in-Washington-State

Analyzed Covid-19 data from Washington State to understand the relationship between income, poverty, political affiliation, and age with three Covid-19 outcomes: cases, hospitalizations, deaths. Extracted data from the CDC, Census, and usa.com to assemble a dataset of over 50,000 cases. Linear regression, Chi-Square, outlier analysis, and visualizations conducted using Python, Pandas, Plotly, and Matplotlib

  • Updated Oct 16, 2020
  • Jupyter Notebook

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