The dataset used for this project will be loaded and saved to a data frame automatically. By running the project, you'll be able to see different frequent itemsets. For generating rules I used one of the association rule mining algorithms called apriori algorithm.
Also check apyori documentation for more information.

Due to resources limitation, I had to limit some components of this algorithm. Feel free to change them for more convenient results.

After rules being generated and finding different frequent itemsets, you'll see graph objects for the first five itemsets.