Bengal Season Data Simulation: BoxPlot and DotPlot Visualization

This example demonstrates how to use GeoGebra to simulate and visualize seasonal data distributions. It uses BoxPlot and DotPlot to display data distribution characteristics, combined with commands like Shuffle for random permutation, Take for element extraction, and CountIf for conditional counting. Core mathematical concepts include geometric mean, correlation analysis, and piecewise functions. Construction key points: Use BoxPlot command to draw box plots showing data distribution, use DotPlot to present specific values, use TableText to display data in tabular form, and use Segment to draw key line segments. Suitable for high school and above students for statistical learning, demonstrating data visualization methods, understanding statistical chart meanings, and practicing data processing commands.