Presenting the data and results of analytics is certainly not an easy task and it definitely depends on who is the audience. So, yeah, I agree with you about th

Presenting the data and results of analytics is certainly not an easy task and it definitely depends on who is the audience. So, yeah, I agree with you about that. Regarding graph representation, I talked with a bunch of people on the conferences regarding this, and they liked the form of a graph, because that's how they are thinking about the problem from the start. If they want to put it on a paper, they are actually drawing graphs, and that's why it's intuitive to them. It's important to make it simple, to make node size fit the results properly, and I would say, not to exaggerate with the colors :') Charts are out there for a long time, so I think that sometimes a combination of graphs and charts can be useful, depending on the solution you are trying to present.