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Formatting the code and tidying up!!!

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LinlyBoi
2021-12-19 22:01:48 +02:00
parent 900eeb3ce1
commit 7089866dc9
1 changed files with 17 additions and 11 deletions
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28
Data.R
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@@ -1,23 +1,29 @@
# Installing Packages
install.packages("ClusterR")
#install.packages("ClusterR")
install.packages("cluster")
# Loading package
library(ClusterR)
#library(ClusterR)
library(cluster)
#Read spreadsheet file
grocery_entries <- read.csv(file.choose())
#grocery_entries <- read_excel("~/College/Data Science/Project/grc.xlsx")
cash_credit <- cbind(grocery_entries[3], grocery_entries[8])
#
#sum_cash <-sum(cash_credit[which(cash_credit$paymentType=='Cash'),1])
#sum_credit <-sum(cash_credit[which(cash_credit$paymentType=='Credit'),1])
#CompCashCredit <- c(sum_cash,sum_credit)
#Compare cash and credit totals
cash_credit <- cbind(grocery_entries[3], grocery_entries[8])
sum_cash <-sum(cash_credit[which(cash_credit$paymentType=='Cash'),1])
sum_credit <-sum(cash_credit[which(cash_credit$paymentType=='Credit'),1])
CompCashCredit <- c(sum_cash,sum_credit)
barplot(CompCashCredit,names.arg = c('Cash','Credit'),horiz = FALSE,col = ((0,100,0),(100,0,0)))
#please visualise the data I am lazy - Sewelam
#Compare between ages and their total spent
ages <- cbind(grocery_entries[6] , grocery_entries[3])
sum_ages <- aggregate(total ~ age,ages,sum)
plot(sum_ages)
#First Github Commitment! 23
#Don't be lazy swelam --Yousri
table()