In this notebook we will build and visualise Pascal's Triangle with networkx and pydot

We will use the stationary distribution of an absorbing markov chain to simulate a Galton board.

Continuing short series on data analysis applied to finance, this article is a step further into exploring Python’s many functionalities towards stock market diagnosis.

In this notebook we will use the data-set, International football results from 1872 to 2019. We will try ANOVA hypothesis testing technique.