Correlation Scatter
Correlation Scatter — generic visualization template with synthetic sample data. Replace with your own data via dynamic data binding.
Template details
- template
- demo
- correlation-scatter
When to use this template
This visualization helps identify the relationship between two quantitative variables. An analyst would reach for it to quickly assess the strength, direction, and form (linear, non-linear) of a potential correlation, as well as to spot outliers or clusters that might warrant further investigation into specific data points.
- Two primary quantitative variables for comparison.
- Individual data points, not aggregated summaries.
- Datasets where correlation or lack thereof is a key insight.
- Moderate to large number of observations (hundreds to thousands).
- Variables with continuous or interval scale measurements.
- Data where outliers or distinct clusters are expected.