A correlation matrix is a table or matrix that shows the correlation coefficients between a set of variables. The correlation coefficient is a measure of how closely two variables are related. Each element in the matrix represents the correlation between two variables. For example, if we have three variables, X, Y, and Z, a correlation matrix would show the correlations between each pair of variables, such as the correlation between X and Y, X and Z, and Y and Z. Correlation matrices are commonly used in statistics and data analysis to identify patterns and relationships between variables.
Correlation analysis is a powerful tool in financial market analysis, helping investors to better understand the interdependence of different assets. But what happens when an unprecedented global pandemic like COVID-19 shakes up the market? In this tutorial, we will show you how to create a correlation matrix in Python that will help you visualize the … Read more
