Larger datasets can be difficult to get an overview of. Especially with data that vary also in time. With an 3D-animation, more dimensions can be included than in traditional graphs. I can use any kind of data (e.g. csv or json) and can show them in many different ways. Below are some examples of how animated (or non-animated) data-visualization with 3D graphics can look.
Below is an animated bar chart showing the most common names for girls in Denmark in the period 1985 to 2022. The animation is made by using both Blender 3D software and Python programming for data entry.
COVID-19 infection numbers in Danish municipalities 2020
During the COVID-19 pandemic, there have been many numbers of infected, hospitalized, deaths and so on. The example below shows how infection numbers in the Danish ‘kommuner’ (municipalities) change over time, which gives a much more general picture of the development of the pandemic. Here, the heigth of the municipality (and the heat color) is used as an indicator of the relative level of COVID-19 infected. The data are from Statens Serum Insititut.
Global Warming from 1880 to 2020
Another way to show data is to use animated bars. In this data visualization, the average temperature is indicated by the heigth of the bar as well as its color. At the end, the global sea level is shown in the same graph as the camera turns. The data are from the World Bank.
Spreading of Omicron variant in US regions
In this animated map of the 10 US regions it is shown how fast the Omicron variant of concern (of coronavirus) spread in the period from November 2021 to January 2022. using a color grade. Data from CDC.