How to Avoid Common Data Visualization Pitfalls and Being Led Astray by Your Data

June 21, 2017
Speaker: Jennifer Shin, Founder & Chief Data Scientist, 8 Path Solutions Level: 100 (Beginner) Track: Data Analytics 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. What You Will Learn: - How to identify potential pitfalls when planning a data visualization project. - How to evaluate and determine the source of incorrect conclusions drawn from data visualizations. - Strategies for avoiding data visualization pitfalls.
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