Python Tutorial: Learn Statistical in Pandas-Percentage Change, Covariance, Correlation in 7 Minutes
Pandas is mainly used for machine learning in the form of dataframes. Once we use panda functions to extract data from our text file or binary file, the data will be formed as a dataframe. And Pandas further allows us to perform various data manipulation operations.
Apart from the descriptive statistics, such as count(), sum(), mean(), there are some other statistical functions, which we can apply on Pandas dataframe objects, that include percentage change, covariance and correlation.
