Data analysis in test automation

Victor will talk about non-standard autotests for a common class of testing tasks with relatively big data, for which the classical approach does not work. A basic knowledge of probability theory and data analysis can help here. 

The talk will present a challenging path from test data generation to analysis of the results and a way to visualize them. Victor will also describe the problems and challenges he faced and how he solved them. 

All the examples and solutions will be in Python.