Pearson correlation is a measure of the linear relationship between two variables. It ranges from -1 to 1, where -1 indicates a strong negative relationship, 0 indicates no relationship, and 1 indicates a strong positive relationship. To calculate Pearson correlation, you first need to determine the mean and standard deviation of each variable, and then calculate the covariance between the two variables. This can then be used to calculate the Pearson correlation coefficient. This measure is commonly used in statistics and data analysis to assess the strength of the relationship between two 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
