Healy and Moody talk about how audiences of data viz are usually well versed in the information being presented, which gives them a context and background knowledge to be able to view the visualization with far more comprehension than the average viewer but how do we incorporate these nuances to make the dv more accessible to audiences without this knowledge while still maintain the impact of the visualization and the data?
Why are some graphs/charts/designs more intuitive than others? Is it because we already have visual cues that inform us or is it because it is an inherent nature?
When is it appropriate to be interactive in dv? Is it more important to use aesthetically pleasing design or more displaying the data in the most impactful way that may downplay the physical numbers?