Use the market.csv and create a list of rules then:

a$)$ Read the dataset $.$ What is the type of this dataset?

b$)$ Prepare the dataset for applying the algorithm.

c$)$ Apply the algorithm with no parameter specified. Interpret the results

d$)$ Apply the algorithm with the following parameters

$($List support $=0\mathrm{.}006,$ confidence $=0\mathrm{.}25,$ minlen $=2)$

and prepare a summary of result.

e$)$ Visualization of the rules. Interpret the visualization.

f$)$ Find subsets of rules containing any berry items

g$)$ Visualization of the berry rules. Interpret the visualization

h$)$ Inspect the lift values.

i$)$ writing the rules to a CSV file. Call this file $$basketrules$.$csv$$

j$)$ Use basketrules.csv file to create a visualization in Tableau. Interpret the visualization.

Notes:

The groceries.csv is in pure text format and data separated by column you should use the

following R code to read this dataset:

basket$<-$read.transactions$($market$.$csv$,$ sep $=,)$

The resulting data in R is in form of a matrix and not a data frame

Required Packages:

$$ Apriori

$$ arulesViz

$$ plotly