Jennifer Shin, Founder & Chief Data Scientist, 8 Path Solutions
Data visualization is an essential component of data science. However, there are a wide range of opinions on how best to structure visual information so that it supports effective decision making, avoiding conclusions that are not supported by the data. As theory and best practices continue to take shape, we can learn from common mistakes made by data scientists in visualizing data. This talk will present real-world pitfalls in data visualization from the perspective of a data scientist, investigate how and why each one occurred, and outline strategies for avoiding mistakes that can be applied to any visualization.