In the world of data visualization explored in Calling Bullshit by Bergstrom and West, Glass Slippers represent a specific pitfall, where data is conveyed using an illustration that is familiar to the viewer but misrepresents the information.
Glass Slippers refer to squeezing data that doesn’t belong into a particular visualization format. These formats might be beautiful and well-suited for specific data sets, but using them for the wrong data creates a misleading picture.
Examples of Glass Slipper visualizations:
- A Periodic Table of Data Science: The classic periodic table showcases the elements based on their atomic properties. Cramming data science concepts like “courses” and “bootcamps” into this format creates a visually appealing but nonsensical image.
- Subway Map of Corporate Acquisitions: Subway maps excel at depicting interconnected stations. Using this format to show complex relationships between companies being acquired becomes confusing and doesn’t reveal the true nature of the acquisitions.
Choosing the Right Tool
The key takeaway from Glass Slippers is using the right data visualization tool for the job. Different formats serve different purposes:
- Bar Charts: Effective for comparing categories.
- Line Charts: Great for showing trends over time.
- Scatter Plots: Useful for identifying correlations between variables.
Avoid Misleading Viewers
- Match the format to the data: Choose a visualization that accurately reflects the relationships within the data.
- Focus on clarity over aesthetics: Don’t prioritize visual appeal over clear communication of the data’s message.
- Use context: Provide context and labels to ensure viewers understand the information being presented.
Avoid the Glass Slipper trap for clear and honest communication.