Statistical Data Analysis in Python

Data should be cleaned of erroneous values
Then you need to do a statistical analysis of the variables.
To begin with, descriptive statistics: calculation of the average value, errors, excess, asymmetry, minimum-maximum, median, fashion, expectation.
Then conduct cluster analysis, regression analysis and
Discriminant analysis is possible. Forecast.
In the process, it is desirable to output graphs, tables, anything that visualizes the results.