Center Point: The starting point of all axes, from which all variables extend outward.
Axes: Radiating from the center point at equal angles, each axis represents an independent variable.
Data Points: Specific positions on the axes corresponding to the values of variables in specific dimensions.
Connecting Lines: Connecting data points of the same dataset on each axis in sequence, forming a closed polygon.
Data Area: The closed area enclosed by connecting lines, whose shape and area visually display the balance or skewness of data across dimensions.
Labels: Clearly indicate the variable name corresponding to each axis.
Legend: Distinguishes different datasets by color or symbol.

Business Decision-making: Through radar charts, companies can quickly understand market trends, strengths and weaknesses of competitors, and their own brand performance, providing strong support for formulating marketing strategies and product planning.
Employee Performance Evaluation: Radar charts can be used to assess employee performance across multiple capability indicators (such as professional skills, communication ability, teamwork, leadership), facilitating managers in performance analysis and improvement.
Financial Health Diagnosis: Radar charts can be used for comprehensive analysis of a company's financial indicators (such as solvency, profitability, operational efficiency, cash flow status) balance, helping companies diagnose financial health status.

Multi-dimensional Integration: Display multi-variable data in a single chart, avoiding information fragmentation.
Intuitive Comparison: Quickly identify data differences through polygon shapes and areas.
Balance Analysis: Visually reflects the balance or skewness of data across dimensions.

The core value of radar charts lies in multi-dimensional comparison, so it is necessary to first clarify the analysis goal, whether it is individual comparison, self-assessment, or trend analysis;

Select analysis dimensions, dimensions need to be independent of each other, if the measurement standards of each dimension are different, a unified scale is needed (such as converting to a percentage scale);

Conduct shape analysis, area comparison, and pay attention to extreme points on the radar chart.