Author: Tricia Bisoux
Publisher: AACSB
Publication Year: 2019
Summary: The following article discusses how graphs can be highly misleading. As an ethical data scientist, it is important to both create visuals that convey the accurate information and not be a part of misinformation and also know how to interpret visuals well. It is important to be aware of biases when making graphs and to know when reading them, that they are not flawless- an image is not always worth more than other points of data. I also liked the statement that in ethics, the intention is not always as important as the outcomes. Making sure the outcome (what is easiest to see from your visual) is ethical in its main message is important. The author also does not like dual axes charts.