Dear Ahmed Hossain association rules have an antecedent and consequent. R indicates with the left-hand side of a rule as LHS, while the right-hand side of the same rule is indicated as RHS. For example, A implies B, it could be A (antecedent) -> B (consequent).

Here you have a tutorial linking R, apriori algorithm, and PostgreSQL (https://www.garysieling.com/blog/mining-association-rules-r/).

I hope that it be useful for you! Regards,

Dear Ahmed Hossain to extract association rules, you must first prepare and pre-process the data. There are several ways to do this. One of the most common methods is to build binary data. For example, for retail basket data, you can create a table that has transactions in its rows and all the items in its columns. In each row, give 1 to the items belonging to the transaction and 0 to the rest. Of course, depending on the type of data you use (text, numeric or ...), the conditions for building this data set may change slightly.