Scatter Plot

Definition

Scatter Plot is a visualization tool that represents the relationship between two variables as points using a Cartesian coordinate system. Each data point's position is determined by its X and Y axis values, allowing intuitive understanding of correlations and trends through the distribution pattern of points.

Applications in Manufacturing

Quality Control and Process Analysis

• Process Variable-Quality Characteristic Relationship: Visualize relationships like temperature-hardness, pressure-dimension to derive optimal process conditions
• Defect Root Cause Analysis: Identify defect occurrence patterns through variable distribution differences between defective and normal products
• Correlation Verification: Confirm associations between input material properties and final product quality

AI Modeling-Based Tasks

• Feature Selection: Verify inter-variable correlations through scatter plots to select valid variables for predictive models
• Anomaly Detection: Visually identify data points outside normal ranges
• Cluster Analysis: Classify process states and recognize patterns through data grouping

Key Points

Practical Application Examples

• Monitor process stability using scatter plots of injection pressure (X-axis) vs. product weight (Y-axis) in injection molding
• Set optimal welding conditions through welding current-strength scatter plots
• Express three-dimensional information by color-coding different lots

In manufacturing, scatter plots enable quick understanding of data relationships without complex statistical analysis, making them an essential tool for Exploratory Data Analysis (EDA) before AI model development.