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For the generation and plotting of bivariate Gaussian distribution data, we have developed a set of functions that can be used for data simulation and analysis. These functions are specifically designed to capture the unique properties of bivariate data, including its distribution, mean, and covariance. With this tool, researchers and analysts can gain a deeper understanding of how bivariate data behaves and can use this information to make more informed decisions. Additionally, these functions can be used to create custom simulations that can test different scenarios and help identify potential areas of interest. By providing this comprehensive toolset, we hope to empower researchers and analysts to make more accurate and meaningful conclusions based on their data analysis.