#RWEKA INSTALL R STUDIO HOW TO#

Now, we have to convert the dataframe into transactions format such that we have all the items bought at the same time in one row. Learn more about vectors, matrices and data frames in R, or check those videos. df_sorted <- df_groceriesĭf_sorted$Member_number <- as.numeric(df_sorted$Member_number) Lets first make sure that the Member numbers are of numeric data type and then sort the dataframe based on the Member_number.

Since the structure of the data is not in the format necessary to find association rules, we have to perform some data manipulations before finding the relationships. However, the data we have is something like this: Member number The second columns consists of the items bought in that transaction, separated by spaces or commas or some other separator.

The basket format must have first column as a unique identifier of each transaction, something like a unique receipt number. The data required for Apriori must be in the following basket format: Step 2: Data cleaning and manipulations using R ItemDescription: The description of the actual item that was bought. Member_number: An ID that can help distinguish different purchases by different customers. df_groceries <- read.csv('groceries.csv') I spent quite some time converting the data into the required format to be able to find the association rules. However, when I was working on the same, I hit a roadblock since the data was neither in single format, nor in basket(Step 2 explains what a basket format is).

#RWEKA INSTALL R STUDIO HOW TO#

There are a bunch of blogs out there posted that show how to implement apriori algorithm in R.

Rweka install r studio