From the columns choosen, that they are trip distance, passenger count, fare amount and payment type. With support of 0.4 and confidence of 0.5, we can get a rules based on customer trends.
The above visualization shows the top rules in the form a graph/network. One can pick and play for getting a better understanding of the rules.
The above visualization is a scatter plot which plots the top rules based on their confidence and support. This gives a user a high overview of what are the best confidence and support in his rules.
This is another type of interactive graph visualization of the rules. But in this type of visualization, a user can select the top 10 rules and transaction type for highlighting the rule.