Ask yourself: What is the purpose of the visualization? What is the claim?
Ask yourself: What wasn't measured that could impact how the data is represented?
Ask yourself: How may the creator be biased? Can you find more about who did the primary research? Do they have authority and experience in this area? How big was the sample size and how inclusive was it?
Ask yourself: what is the takeaway from the visualization? After evaluating the visualization, did your understanding of its claim change at all?
What other information can you infer based on your interpretation of the visualization?
It's just as important to evaluate the underlying data and statistics being represented in the visualization. Statistics can be easily manipulated or shared out of context in all types of media.