Data Classification: Classify data by two dimensions, clearly distinguishing different groups or characteristics, such as categorizing customer types by purchase frequency and amount.
Relationship Presentation: Visually display the correlation between two variables, such as whether advertising investment and sales are positively correlated or dispersed.
Trend Prediction: Observe data changes in quadrants to predict development directions, such as transitions in product lifecycle stages.
Decision Support: Provide a basis for resource allocation and strategy formulation, such as using the Boston Matrix to guide business decisions.

1. Determine the Axes
Identify the two key variables to be analyzed, serving as the horizontal axis (X-axis) and vertical axis (Y-axis). For instance, when analyzing student learning, academic performance can be chosen as the horizontal axis and learning attitude as the vertical axis.
2. Divide the Axis Scale
Divide the scale based on the nature of the variables and data range. If the variable is numerical, like scores (0 - 100 points), divide at regular intervals; if qualitative, like learning attitudes categorized as "positive, average, negative," assign corresponding values for division.
3. Determine the Division Lines
Usually, the midpoint or target value of the horizontal and vertical axes is used as the division line. For example, use 60 points (passing line) and 85 points (excellent line) as boundaries on the performance axis, and the boundary values between positive and average, average and negative on the learning attitude axis. The intersection of the two lines forms a cross, dividing the plane into four quadrants.

1. Clearly define the analysis purpose and select two key variables with strong correlation that can effectively reflect the issue as the horizontal and vertical axes, such as choosing market growth rate and market share when analyzing products.
2. Divide the quadrants based on data distribution or target values. If data is evenly distributed, use the median; if there is a clear target, such as a passing line or excellent line, use it as the boundary to ensure scientific division.
3. Name the quadrants, summarizing their characteristics with concise language, like "Star Business" or "Problem Business." Also, label the meaning, units, and data sources of the axes to enhance chart credibility.
4. Avoid excessive elements that interfere, keeping the chart simple. Use different colors to distinguish quadrants, but avoid too many colors to ensure visual clarity, allowing readers to quickly understand the information conveyed by the chart.

The S&P Family Asset Quadrant Chart is proposed by the globally authoritative credit rating agency Standard & Poor's, achieving steady growth and risk isolation through scientific family asset allocation.
The S&P Chart achieves a balance of short-term liquidity, risk protection, income growth, and long-term stability through "four accounts," recognized as the golden rule of family financial management.

The Four Quadrants of Wealth (ESBI Model) is proposed by Robert Kiyosaki in "Rich Dad Poor Dad," dividing personal income sources into four quadrants, revealing the impact of different income models on wealth accumulation.
The four quadrants are: E Quadrant (Employee), S Quadrant (Self-employed/Freelancer), B Quadrant (Business Owner/System Owner), and I Quadrant (Investor).
The ESBI Model emphasizes the transition from "active income" to "passive income," achieving wealth transformation through system building or investment.