Summary
In times of crisis, such as the COVID-19 pandemic, data is critical to understanding the issues. But simply collecting data is not enough. In order to make use of data we need to be able to communicate it effectively and efficiently to a broad audience. Data visualization helps us to quickly grasp and disseminate complex information.
In this webinar, Stanford Associate Professor Kristin Sainani introduces basic concepts in data visualization, including how to graph different types of data, principles of effective data visualization, and how graphs can mislead. Dr. Sainani will also show how different visual representations of the same data can convey very different messages.
You Will Learn:
- Principles of effective data visualization
- How different visualizations shape our understanding of the Covid-19 pandemic
- How graphs can inform or mislead
- How to choose the right type of graph for your data
Presented By
Stanford Online Medical Statistics Program
Questions?
Contact us at [email protected] or 650-204-3984
