Covid-19 Spread Worldwide

Mapping and visualizing Covid-19 spread using Python, Jupyter Notebook and Tableau.

Published on March 10, 2021 by Claudia Chajon

data analysis data visualization python

1 min READ

Covid-19 Spread by country in 2020

See the code Check out my Tableau dashboard

I placed Guatemala into the bar chart and it immediately was surpassed by the other countries, so much so that the graph kicked it out.

Using data from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University.

Cases of Covid-19 in Guatemala

I chose Guatemala specifically to look at because my grandparents are all from Guatemala and it typically does not get much media coverage.

Guatemala has a population of 16.6 million people. As of January 2021, Guatemala has 140k+ cases of Covid-19, which is 1/3 of the population. ![guate](/assets/images/blog_post_images/guate.png)

Cases in Mexico, the US, Germany and New Zealand

**Population of** - Mexico 127.6 million - United States 328.2 million - Germany 83.02 million - New Zealand 4.917 million ![countries](/assets/images/blog_post_images/us_germ_nz.png) Regardless of population size, a majority of countries saw a spike in confirmed cases during the month of June.

Choropleth Map of Confirmed Cases

Choropleth Map of Recovered Cases Worldwide

A choropleth map is a great tool for visualizing spatial variations of quantity.