Tableau Advanced Use Cases & Features
Conditional Mark Labels
by Data Boutiq
Conditional mark labels help reduce "visual noise" in visualizations. The criteria for labeling can vary widely. For instance, you might label only unique values, every third mark, or only those bars that have a specific dimension division, and so on.
How do conditional mark labels help?
- Conditional mark labels are a powerful tool in data visualization, enabling users to quickly and easily understand the significance of each mark on a chart or graph.
- These labels allow data points to be identified without the need for lengthy text descriptions or complex charts. This simplification makes data more accessible and helps users identify trends and patterns swiftly. For instance, in a scatter plot, conditional mark labels can differentiate points by color, size, or shape, making it easier to spot data patterns, clusters, and trends.
- Moreover, conditional mark labels enhance data accessibility and comprehension for a wider audience. By labeling each mark, users can quickly recognize which data point they are examining, making the information more approachable even for those unfamiliar with the dataset.
How to implement conditional mark labels
How to implement conditional mark labels
For step-by-step instructions, check the Tableau Public workbook.
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