Last week, I spoke at Women in Data Science Blacksburg. This event allowed those in the Virginia Tech and Blacksburg community to network and build data science skills. It was filled with talks, a career panel, small group discussions, and my talk on Common Data Visualization Mistakes.
We covered a wide variety of topics over the course of an hour, including:
- Chart Types: Understand how chart type can persuade the view.
- Conclusions: Correlation does not equal causation.
- Aggregations: If the data was aggregated differently, would the story change?
- Color Design: Consider how color impacts your visual.
- Uncertainty: Learn how the data was collected.
- Data Quality: Question who the author is. Volunteer details on how you created your visual ahead of time.
We also followed up with some time for questions, where we discussed additional data visualization strategies. It is always a great experience talking to students and faculty, and overall an excellent event.
