- Fry quotes Tufte, stating, "graphical excellence consists of complex ideas communicated with clarity, precision, and efficiency,” to solidify the understanding of the role of graphic visualization as "a divergence from the expectation that somehow visual design serves to make data pretty or entertaining."
Has this rule changed now? Even if this is the purpose of the visualization, to give our mind a diving board to jump off of to "amplify cognition," isn't there some level of aesthetic pleasure involved? But does this aesthetic value also create an hindering or bias?
Visualization helps create clarity but when big data is presented, is it only valuable to see trends and correlations or can it be just as valuable to understand data sets individually?
There seems to be a separation between the people generating the data and those who are creating the visualizations for synthesis, how can we bring them together to create a interdisciplinary export of data?