Data Visualization Pitfalls: How to Avoid Being Led Astray By Your Data

Data visualization is growing in popularity, but there is a wide range of opinions on the requirements for creating data visualization. As the theory and best practices continues to take shape, we can learn from pitfalls that occur in the real data set. 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 present strategies for avoiding them that can be applied to any visualization.