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Step 1. In RStudio, import the dataset from the CSV source fil
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Step 1. In RStudio, import the dataset from the CSV source file into a data frame called ch5Exercise.

  1. Next, using the appropriate R commands for each step
  2. :Step 2. Create a new data frame called ProductCategories that excludes the ReceiptID.
  3. Step 3. Replace all values of zero (0) in the ProductCategories data frame with missing values.
  4. Step 4. Load the 'arules' library and create an association rules data model in an R object called ProductRules. Require at least one premise and one conclusion. Set a strict support percent cutoff of 15%. Set a strict confidence percent cutoff of 50%.
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Step 1. In RStudio, import the dataset from the CSV source file into a data frame called ch5Exercise.
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Question Text
Step 1. In RStudio, import the dataset from the CSV source file into a data frame called ch5Exercise.
TopicAll Topics
SubjectStatistics
ClassClass 11