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> Is this because such visualizations are useless clutter or because film makers have better tools for creating them than actual programmers do?

Another reason is that real visualisations are hard. You have to faithfully represent some actual data, and make it ‘usable’ in the sense of well designed keys/labelling etc, and choose a chart type that is appropriate for the data and the point you are making, plus you somehow have to make it pretty and not overwhelming. These constraints all fight each other, you go round and round in circles and eventually you have something passable. It’s a professional field at the intersection of data science and design, it’s not like there is some magic ‘tooling’ that solves it for you.

Fake visualisations are very easy to make pretty - you can just generate data that looks nice, the design doesn’t have to have any real utility or even make sense, etc. It just has to look like a data visualisation.