A scatter chart plots two variables against each other, with each data point representing a specific observation. It reveals correlations, clusters, and outliers that might indicate cause-and-effect relationships.
It is essential for correlation analysis, quality control, and process optimization. It answers: "How do these two variables relate to each other?"
Advanced Features: Embedded Ellipse
Embedding an ellipse to a scatter chart transforms it from a simple data plot into a powerful Statistical Process Control (SPC) tool.
- Defining the "Normal" Operating Zone: The ellipse acts as a visual boundary for "Standard Operating Conditions." If 95% of your high-quality production runs fall inside the ellipse, any point appearing outside it is an immediate signal of a process deviation.
- Early Detection of Outliers: In a crowded chart with thousands of data points, it is hard to spot a single bad batch. An ellipse makes outliers "pop" visually, allowing for faster root-cause analysis (e.g., "Why was the kiln oxygen so high for this specific clinker batch?").