Big data also needs to be visualized! Big data visualizations are somewhat rare; in part because they are hard to do, but also because they are hard to interpret and communicate insights. A big data visualization is usually either a network, a map, or a mapping (similarity-based, computed 2- or 3-dimensional distributions). They are usually astonishing and complex! In fact, a few early inventors of big data visualizations, such as Eric Fisher, became famous for their work with big data.
As we mentioned, big data visualizations are generally hard due to the mere size of the dataset. Standard tools won't work— for matplotlib, even with a raster engine, it will take hours to plot millions of points, and Altair won't do it at all. For a long time, there wasn't an easy solution to this problem. This changed with the announcement...
