Data-visualizations can be used for many purposes. But in general, they can help to get an overview of large data in many dimensions – and even over time, if they are animated. Like this example below, that shows the increase in the average, global temperature over the last 140 years.
The example below shows e how COVID-19 data can be displayed on an animated map istead of just in an ordinary graph. The example shows the development of confirmed COVID-19 cases per 100.000 inhabitants in the five Nordic contries in the period february to november 2020.
As I am rather new in the field of data-visualization, I try to improve my skills and knowledge – currently I am reading the book “Data visualisation” by Andy Kirk, which is very inspiring. He has a definition of the term as “the representation and presentation of data to fascilitate understanding”.
Below is a similar map, now just with all the European countries.
And below two maps of the COVID-19 pandemic in Denmark (2020) – in the different municipalities. The one to the left shows the absolute numbers of confirmed COVID-19 cases – and the one to the rigth shows the normalized numbers (thus per inhabitant). On these maps, I have also added “heatmap” colors to make it even more clear.
At last, here is an updated version of the European map – now only for the second wave in the fall 2020. I have added heat map colors and use a quadratic format instead, which makes it easier to see.
Data-visualizations do not need to be animated. Often a single image is more appropriate. Like this visualization of how all the countries of the world rates in a coordinate system showing CO2-emission per inhabitant plotted against percent forest area of the country. The size of the country bubbles represent the number of inhabitants in the country. Thus, a large bubble that is placed more to the rigth and bottom in the picture causes more stress to the Earth than smaller bubbles placed to the left and high (like Micronesia). I know, however, that the image is busy and it can be difficult to read all the names.