Description: Humans have always been visual creatures, it's in our nature. People most easily absorb information when it's presented graphically; visuals elude to words and statistics, and are excellent storytellers, especially when the story is complicated (as it tends to be in this data-driven climate).

Visualising data gives most insights into the underlying structure of the data that you wouldn't normally obtain from merely watching a dataset or calculating statistics. However, many experts don't take as much care with their visualisations as they do with data engineering and data management.

In this PyDataTT we will take a look into data visualisation and its many facets, and explore some of the best libraries and software for making stunning visuals.