Session: Common Data Visualization Mistakes
As data visualization tools become easier to use, our charts become more misleading. While we may not all be designing dashboards that will be seen by hundreds, there’s a high chance in our jobs we will create at least one or two charts. Perhaps we try to fit too much detail on the page, or maybe our aggregations don’t make sense for the audience. This talk will go over common data visualization mistakes, and how we can stop ourselves from making them.
- Mistakes to look out for when creating your data visualization.
- Ways data visualizations can be misleading.
- How to design charts that are easy to read.
Michelle Maraj is currently a Financial Systems Analyst at Lyft, where she is responsible for maintaining and developing Tableau dashboards for the Financial Planning & Analysis team. Prior to joining Lyft in May 2020, Michelle was a Senior Financial Crime Analytics Consultant at Crowe LLP. In addition to her role at Lyft, Michelle has built dashboards on Tableau Public, claiming a Tableau Viz of the Day. She also placed in the Top 5 of the Women in Analytics Data Visualization competition in 2018 and 2019 with her Tableau dashboards.