Unique data visualizations are more memorable, and add variety for the audience — even the most clear and straightforward visualization types lose their appeal when repeated over and over again. As visual literacy increases in the general population, data visualization designers will need to continually extend their knowledge of and proficiency across a widening range of visualization approaches to grow their skills alongside audience familiarity and expectations. Even more importantly, broad visualization know-how is essential for matching the data visualization type to the data available, the story to be told, and the question being answered.
In this article, I review 7 less-common (though certainly not unheard-of) yet very useful data visualization approaches:
Via Seth Dixon