Please provide the R-code and explanations

Question 1: Association Rules: Identifying Course Combinations (17 points) The Institute for Statistics Education at Statistics.com offers online course in statistics and analytics, and is seeking information that will help in packaging and sequencing courses. Consider the data in the file Coursetopics.csv, the first few rows of which are shown in the following. These data are for purchases of online statistics courses at Ststistics.com. Each row represents the courses attended by a single customer. The firm wishes to assess alternative sequencings and bundling of courses. (Each column represents one statistics course; 1: attended; 0: no attended) Data Mining Survey Cat Data Regression Forecast Time_Series Prediction Intro 0 1 0 0 0 OOO 1 0 1 0 1 1 0 1 0 1 0 0 1 1 0 1 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1 1 OOOOO OOOO 0 OOOOOOOOOOOOO 0 0 0 1 1 0 1 1.1 Convert to a transaction database format and display this transaction database format in a readable form (2 points) 1.2 Draw an item frequency plot and answer which statistics course was the most popular course (3 points) 1.3 Build an association rule model and set the support value as 0.01 and the confidence value as 0.5. Based on your association rule results, show the first ten rules and sort by their lift values. Ensure to interpret your rule results, discuss which rules are the strong rules, and why (6 point) 1.4 Build an association rule model and set the support value as 0.05 and the confidence value as 0.3. Based on your association rule results, show the rules and sort by their lift values. Also compare your rules from 1.3 and rules from 1.4 and discuss why you get the different rules if applicable (6 point) Question 1: Association Rules: Identifying Course Combinations (17 points) The Institute for Statistics Education at Statistics.com offers online course in statistics and analytics, and is seeking information that will help in packaging and sequencing courses. Consider the data in the file Coursetopics.csv, the first few rows of which are shown in the following. These data are for purchases of online statistics courses at Ststistics.com. Each row represents the courses attended by a single customer. The firm wishes to assess alternative sequencings and bundling of courses. (Each column represents one statistics course; 1: attended; 0: no attended) Data Mining Survey Cat Data Regression Forecast Time_Series Prediction Intro 0 1 0 0 0 OOO 1 0 1 0 1 1 0 1 0 1 0 0 1 1 0 1 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1 1 OOOOO OOOO 0 OOOOOOOOOOOOO 0 0 0 1 1 0 1 1.1 Convert to a transaction database format and display this transaction database format in a readable form (2 points) 1.2 Draw an item frequency plot and answer which statistics course was the most popular course (3 points) 1.3 Build an association rule model and set the support value as 0.01 and the confidence value as 0.5. Based on your association rule results, show the first ten rules and sort by their lift values. Ensure to interpret your rule results, discuss which rules are the strong rules, and why (6 point) 1.4 Build an association rule model and set the support value as 0.05 and the confidence value as 0.3. Based on your association rule results, show the rules and sort by their lift values. Also compare your rules from 1.3 and rules from 1.4 and discuss why you get the different rules if applicable (6 point)