Claude got a new Skill - /dataviz
Introduction to slash datavis: A New Skill in Clod Co
Overview of slash datavis
- The new skill, slash datavis, is designed to fact-check chart colors using a script rather than relying on visual inspection.
- It emphasizes the importance of selecting chart forms before assigning colors based on their functional roles: identity, magnitude, or polarity.
Validation Process
- After color assignment, users must run a validator that assesses the color palette for contrast and color blindness compatibility.
- The validator provides a pass or fail result along with specific reasons for its assessment.
Real-world Application and Results
Example of Color Validation
- An example is provided where three colors (blue, violet, orange) were tested in light mode and passed but failed in dark mode due to issues for red-green color blind viewers.
- The initial failure was attributed to insufficient color distance; swapping violet for aqua resolved the issue, leading to successful validation in both modes.
Impact on Releases
- The validated colors are used consistently across all Clod Co releases over the past three months, ensuring accessibility for all users regardless of visual impairments.
- This approach contrasts with traditional methods where personal taste may lead to charts that appear fine but are not universally accessible.
Conclusion and Call to Action
Engaging the Audience
- A question is posed regarding whether viewers check their charts for color blindness or rely solely on visual judgment.
- Viewers are encouraged to engage with the content by commenting and exploring more about AI through the dynamist.ai community.