Aspects of art and design have become increasingly important in the data science community. A 2018 article from Forbes, for example, explains the “art of data science” :
https://www.forbes.com/sites/forbestechcouncil/2018/04/03/the-art-of-data-science/#61d4168e1d45
It’s generally easy to tell when data is represented successfully and whether the conclusions to be drawn from it are appropriately highlighted in the graphs and charts.
Some interesting examples taken from the subreddit r/dataisbeautiful :
Especially now, I’m sure we’re all looking at graphs of coronavirus trends and heat maps of heavily-impacted regions. And as crucial as the numbers/statistics themselves are, it’s also important to remember and appreciate the design that goes into generating forms that the public can digest.
2020 Foundations 