The following table shows sales of different items (A, B, C,....,G) at a grocery. Write R-codes possibly using"for" loops to calculate the Jaccard distance in order to compute similarities between all shopping basket pairs. Ex:The Jaccard distance for shopping baskets CA and CB is defined by

Shopping baskets	A	B	C	D	E	F	G
CA	5	0	0	0	2	1	2
CB	2	1	2	0	0	0	0
CC	0	0	1	4	0	0	1
CD	0	0	2	0	1	1	2
CE	6	2	2	0	1	1	2
CF	4	0	0	2	0	0	2

I have got the following nice R-codes from sombody for the problem but mistakenly programmed for jaccard distance between shopping items instead of shopping baskets. Please fix that problem in the program below.

# reading the data from csv groccery

#getting all column nameexcpet first one b

#creating a list to store jacard distance for all pair l

for(x in b){ for(y in b){ if(x!=y){ num

#printing jacard distacne for each paire for(x in names(l)){ print(paste(x,l[[x]],sep = " "),quote=FALSE) cat(" ") }

CA n CB CA U CB