Course Topics - Association Rules The Institute for Statistics Education at Statistics.com offers online courses in statistics and analytics, and is seeking information that will help in packaging and sequencing courses. Consider the data in the file Course-Topics.csv. These data are for purchases of online statistics courses at Statistics.com. Each row represents the courses attended by a single customer. The firm wishes to assess alternative sequencings and bundling of courses. Use association rules to analyze these data, and interpret the resulting rules. Intro Data Mining Survey CatData Regression Forecast DOE SW 1 1 0 0 0 0 1 0 0 0 1 0 1 1 0 0 0 1 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 1 0 O 0 0 0 0 0 1 0 0 0 0 O 0 1 0 0 0 0 0 0 0 Use the RStudio desktop and dataset files available in Blackboard to complete the homework and address the following questions: 1) Get the top rules based on the lift ratio and interpret the top 2 rules 2) Specify a concise rule with max. length (maxlen) of 4, and interpret the top 2 rules 3) Get the top rules based on the lift ratio and interpret the top 2 rules 4) Targetting rule - Identity the courses that needs to be taken before DataMining is taken. 5) What is common in terms of all the rules