Step $1$ : Clean the data by

$*$ removing rows whose StockCode or Invoice values contain non$-$digit characters

$*$ removing rows whose Price values are less than $10$

$*$ removing rows whose country values are not equal to "United Kingdom", "Italy", "France", "Germany", "Norway", "Finland", "Austria", "Belgium", "European Community", "Cyprus", "Greece", "Iceland", "Malta", "Netherlands", "Portugal", "Spain", "Sweden", or "Switzerland".

$*$ removing rows whose quantity values are negative.

$*$ trimming the description using string.strip function

Step $2$: Find the frequent itemsets with min$\_$support $=0\mathrm{.}01$

Step $3$: Find the association rules with confidence greater than $10\%.$ Among them, which rule$($s$)$ has the highest value of lift?