As well as creating visuals with similar colour palettes to tie in with each other, is it also important to create the same types of visualisation to create a continuity throughout a document?
Using an example of dataspheres, should these be mixed in with data blocks? It might be easier to read the data if the graphs are consistent, once you’ve mastered how to read one, it is easier to read the rest. Or does this make the reader bored? Would they prefer to see different types of visualisations in order to keep their attention?
It might possibly depend on the audience. For example if a business man is reading an report with data visualisations, I would imagine that it is easier if the diagrams only used a singular type of data, as it would save him time. Whereas maybe a publication such as a magazine can be more adventurous as people will be reading this during a relaxation period?
Taking the visual posted from Feltron’s annual report, he uses three types. The initial visualisation of a map would fall into the category of a datanet, and beneath he breaks this image down into more detail using data blocks and data spheres, alongside the use of typographic figures.However referring to the point above, this particular report by Feltron would be most likely read in a leisurely way as opposed to a corporate report.
Possible to do some experiments on this?