This project was focused on illustrating different indicators that shed light on the scale of the pandemic

• QGIS was the software used for this task
  
• Spatial and relational joins were the main tools in processing and merging the data
• Absolute values transformed to ratios and rates to make better sense
• data from https://www.naturalearthdata.com/ and https://data.humdata.org/ are the main source for the analysis

Possible ways for improvement:

• Considering colorblind-friendly gradient or patterned choropleth instead of the red gradient
• Including in the legends a descriptor for the change of the bubble sizes that are present in the map - they represent total deaths.