Intentional visualizations help untangle complex data
Applying Racial Equity Awareness in Data Visualization
“In our efforts to open minds, shape decisions and offer solutions, we as people analyzing data, communicating data, visualizing data, need to think intentionally how we can learn from and speak to audiences that reflect the rich diversity of America’s communities.”
— PolicyViz founder Jon Schwabish
Schwabish explains a few of the things we should consider when communicating about race, gender and underrepresented groups in our analyses and data visualizations, so that we can offer inclusive insights that shape decision making.
Watch to learn about ways we can approach data visualization with more racial equity awareness, such as:
- Using people-first language.
- Ordering labels in a purposeful way.
- Considering missing groups.
- Understanding how colors communicate sentiment.
- Thinking about how audiences encode icons and shapes.
- Demonstrating empathy.
- Reflecting on lived experiences of the people our data visualizations represent.
From policy to sports to environmental investigations — data visualization leads to insights
Good data visualizations, backed by statistics and best practices, are a powerful way to explore data, find new analyses to pursue and transcend communication barriers with a nontechnical audience.
This panel conversation uncovers what we need to know about good visual design, ethical considerations for communicating with data and the tradeoffs we make when creating graphs. Experts from a variety of fields tell stories about how they’ve successfully used data visualization to understand complex data and gain momentum for ideas.
You’ll hear from:
- Jonathan Schwabish, Founder, PolicyViz
- Tim Chartier, Applied Mathematician and Sports Analytics Expert, Davidson College
- Court Sandau, Expert Chemist, Chemistry Matters