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covid-19-data-visualization

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Covid-19-Data-Analysis-Visualization

The first project of our data visualization studies is the COVID-19 data analysis project. In this project, we analyzed the data of the COVID-19 pandemic, which started in the first month of 2020 and still continues to affect the world, on the basis of countries. You can find the brief details of the project we realized in 3 stages in the readme…

  • Updated Jan 30, 2022
  • Jupyter Notebook

The model classifies the population into four mutually exclusive groups: susceptible (at risk of contracting the disease), exposed (infected but not yet infectious), infectious (capable of transmitting the disease), and removed (those who recover or die from the disease). A susceptible individual can become exposed only through contact with some…

  • Updated Apr 28, 2022
  • Jupyter Notebook

Database, python code for database treatment and creation of the datasets, html, javascript and css files to present a datavizualisation made thanks to D3js. The aim of this datavizualization is to compare the evolution of the pandemic of COVID-19 in the world when vaccination begins, from January 2021 to May 2021.

  • Updated Jun 18, 2021
  • JavaScript

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