1 Setting Working Directory

getwd()
## [1] "D:/R Working Directory"
setwd("D:/R Working Directory")

2. Importing the Excel file data into ‘R’

Mooch_sales<-read.csv(file="Data_Analyst_Task.csv",stringsAsFactors=TRUE,header=TRUE)
print(Mooch_sales)
##         Item Quantity Cost.per.item Profit...per.item
## 1   Burger 1      100         £5.50              0.33
## 2   Burger 2      170         £5.50              0.41
## 3   Burger 3       33         £5.50              0.28
## 4   Burger 4       38         £5.50              0.19
## 5   Burger 5       39         £5.50              0.29
## 6   Burger 6       67         £5.50              0.19
## 7   Burger 7      171         £5.50              0.38
## 8   Burger 8       44         £4.50              0.29
## 9   Burger 9       30         £5.50              0.29
## 10 Burger 10       27         £5.50              0.47
## 11     Chips      100         £2.25              0.85
## 12   Lasagne       16         £5.50              0.69
##    Sales.per.market.segment.1 Sales.per.market.segment.2
## 1                        0.05                       0.06
## 2                        0.17                       0.20
## 3                        0.20                       0.01
## 4                        0.01                       0.04
## 5                        0.04                       0.08
## 6                        0.08                       0.11
## 7                        0.11                       0.10
## 8                        0.10                       0.24
## 9                        0.05                       0.16
## 10                       0.16                       0.16
## 11                       0.16                       0.16
## 12                       0.16                       0.17
##    Sales.per.market.segment.3 Sales.per.market.segment.4
## 1                        0.17                       0.11
## 2                        0.03                       0.01
## 3                        0.10                       0.22
## 4                        0.10                       0.14
## 5                        0.05                       0.20
## 6                        0.16                       0.05
## 7                        0.16                       0.18
## 8                        0.23                       0.08
## 9                        0.10                       0.11
## 10                       0.10                       0.10
## 11                       0.05                       0.05
## 12                       0.16                       0.16
##    Sales.per.market.segment.5 Sales.per.market.segment.6
## 1                        0.06                       0.22
## 2                        0.27                       0.01
## 3                        0.01                       0.22
## 4                        0.30                       0.14
## 5                        0.15                       0.03
## 6                        0.26                       0.10
## 7                        0.17                       0.10
## 8                        0.22                       0.05
## 9                        0.14                       0.16
## 10                       0.24                       0.01
## 11                       0.02                       0.20
## 12                       0.05                       0.14
##    Sales.per.market.segment.7 Sales.per.market.segment.8 Total.of.segments
## 1                        0.16                       0.17                 1
## 2                        0.18                       0.13                 1
## 3                        0.02                       0.22                 1
## 4                        0.13                       0.14                 1
## 5                        0.22                       0.23                 1
## 6                        0.14                       0.10                 1
## 7                        0.08                       0.10                 1
## 8                        0.03                       0.05                 1
## 9                        0.12                       0.16                 1
## 10                       0.22                       0.01                 1
## 11                       0.14                       0.22                 1
## 12                       0.02                       0.14                 1

3. Data Manipulation

Renaming the Column names(variables Names) in Structure Format

str(Mooch_sales)
## 'data.frame':    12 obs. of  13 variables:
##  $ Item                      : Factor w/ 12 levels "Burger 1","Burger 10",..: 1 3 4 5 6 7 8 9 10 2 ...
##  $ Quantity                  : int  100 170 33 38 39 67 171 44 30 27 ...
##  $ Cost.per.item             : Factor w/ 3 levels "£2.25","£4.50",..: 3 3 3 3 3 3 3 2 3 3 ...
##  $ Profit...per.item         : num  0.33 0.41 0.28 0.19 0.29 0.19 0.38 0.29 0.29 0.47 ...
##  $ Sales.per.market.segment.1: num  0.05 0.17 0.2 0.01 0.04 0.08 0.11 0.1 0.05 0.16 ...
##  $ Sales.per.market.segment.2: num  0.06 0.2 0.01 0.04 0.08 0.11 0.1 0.24 0.16 0.16 ...
##  $ Sales.per.market.segment.3: num  0.17 0.03 0.1 0.1 0.05 0.16 0.16 0.23 0.1 0.1 ...
##  $ Sales.per.market.segment.4: num  0.11 0.01 0.22 0.14 0.2 0.05 0.18 0.08 0.11 0.1 ...
##  $ Sales.per.market.segment.5: num  0.06 0.27 0.01 0.3 0.15 0.26 0.17 0.22 0.14 0.24 ...
##  $ Sales.per.market.segment.6: num  0.22 0.01 0.22 0.14 0.03 0.1 0.1 0.05 0.16 0.01 ...
##  $ Sales.per.market.segment.7: num  0.16 0.18 0.02 0.13 0.22 0.14 0.08 0.03 0.12 0.22 ...
##  $ Sales.per.market.segment.8: num  0.17 0.13 0.22 0.14 0.23 0.1 0.1 0.05 0.16 0.01 ...
##  $ Total.of.segments         : int  1 1 1 1 1 1 1 1 1 1 ...
colnames(Mooch_sales)[c(1,2,3,4,5,6,7,8,9,10,11,12,13)]<-c("Item","Quantity","Cost_per_item","Profit_per_item","Sales_per_market_segment_1","Sales_per_market_segment_2","Sales_per_market_segment_3","Sales_per_market_segment_4","Sales_per_market_segment_5","Sales_per_market_segment_6","Sales_per_market_segment_7","Sales_per_market_segment_8","Total_of_segments")
Sales per market segment 1

The Histogram is effective graphical technique for showing the both SKEWNESS and KUrtosis of Mooch_sales datset

# the density Function is also showing plot the graph. but in this graph we are not able to reconize well, to find out what is the exact distrubtion of data,histogram is the extract distribution density is showed you the distribution of the line

skewness is the measure of symmentry in the distrubution of data sets

its a distibution which checks skewness how the data is distibuted is a negative(-ve) skewness or Positive(+ve) skewness

Kurtosis is a measure of the Peakness of probability distribution of a real valued random Variable

Kurtosis is a measure of wheather the data is Flat (or) Peaked

hist(Mooch_sales$Sales_per_market_segment_1,main="Students' Union's Mooch bar", xlab="Sales per market segment 1",border="lightcoral",col="darkseagreen2",las=2)

# the Sales per market segment Certainly tells that there is a long tail left hand side,there is a some kind of Skewness which we  can obviously look this  data 
hist(log(Mooch_sales$Sales_per_market_segment_1),main="Students' Union's Mooch bar", xlab="Sales per market segment 1",border="lightcoral",col="darkseagreen2",las=2)

# # Doing a kind of transformation here in a logarithmic  scale for the value of Sales per market segment 1
plot(density(Mooch_sales$Sales_per_market_segment_1),col="Blue")

hist(Mooch_sales$Sales_per_market_segment_1,prob=TRUE,col="grey") 
lines(density(Mooch_sales$Sales_per_market_segment_1),col="blue",lwd=2) 
lines(density(Mooch_sales$Sales_per_market_segment_1,adjust=2),lty="dotted",col="RED",lwd=2)

##############################
########## skewness ##########
##############################


# here  the  points  is moved to  the  left that is "-0.05820875" _ve skewness 

##############################
########## Kurtosis ##########
##############################


# in the give Data the Sales_per_market_segment_1 is Platykurtic because  the  Value  is      "-1.615413" Negative
Sales per market segment 2
hist(Mooch_sales$Sales_per_market_segment_2,main="Students' Union's Mooch bar", xlab="Sales per market segment 1",border="lightcoral",col="darkseagreen2",las=2)

# the Sales per market segment Certainly tells that there is a long tail left hand side,there is a some kind of Skewness which we  can obviously look this  data 
hist(log(Mooch_sales$Sales_per_market_segment_1),main="Students' Union's Mooch bar", xlab="Sales per market segment 2",border="lightcoral",col="darkseagreen2",las=2)

# # Doing a kind of transformation here in a logarithmic  scale for the value of Sales per market segment 2
plot(density(Mooch_sales$Sales_per_market_segment_2),col="Blue")

hist(Mooch_sales$Sales_per_market_segment_2,prob=TRUE,col="grey") 
lines(density(Mooch_sales$Sales_per_market_segment_2),col="blue",lwd=2) 
lines(density(Mooch_sales$Sales_per_market_segment_2,adjust=2),lty="dotted",col="RED",lwd=2)

##############################
########## skewness ##########
##############################


# here  the  points  is moved to  the  left that is "-0.05805075" _ve skewness 

##############################
########## Kurtosis ##########
##############################

 
# in the give Data the Sales_per_market_segment_2 is Platykurtic because  the  Value  is      "-1.277058" Negative
Sales per market segment 3
hist(Mooch_sales$Sales_per_market_segment_3,main="Students' Union's Mooch bar", xlab="Sales per market segment 3",border="lightcoral",col="darkseagreen2",las=2)

# the Sales per market segment Certainly tells that there is a long tail left hand side,there is a some kind of Skewness which we  can obviously look this  data 
hist(log(Mooch_sales$Sales_per_market_segment_3),main="Students' Union's Mooch bar", xlab="Sales per market segment 3",border="lightcoral",col="darkseagreen2",las=2)

# # Doing a kind of transformation here in a logarithmic  scale for the value of Sales per market segment 3
plot(density(Mooch_sales$Sales_per_market_segment_3),col="Blue")

hist(Mooch_sales$Sales_per_market_segment_3,prob=TRUE,col="grey") 
lines(density(Mooch_sales$Sales_per_market_segment_3),col="blue",lwd=2) 
lines(density(Mooch_sales$Sales_per_market_segment_3,adjust=2),lty="dotted",col="RED",lwd=2)

##############################
########## skewness ##########
##############################


# here  the  points  is moved to  the  Right that is "0.1956756" +ve skewness 

##############################
########## Kurtosis ##########
##############################


# in the give Data the Sales_per_market_segment_3 is Platykurtic because  the  Value  is      "-1.139855" Negative
Sales per market segment 4
hist(Mooch_sales$Sales_per_market_segment_4,main="Students' Union's Mooch bar", xlab="Sales per market segment 4",border="lightcoral",col="darkseagreen2",las=2)

# the Sales per market segment Certainly tells that there is a long tail right hand side,there is a some kind of Skewness which we  can obviously look this  data 
hist(log(Mooch_sales$Sales_per_market_segment_4),main="Students' Union's Mooch bar", xlab="Sales per market segment 4",border="lightcoral",col="darkseagreen2",las=2)

# # Doing a kind of transformation here in a logarithmic  scale for the value of Sales per market segment 4
plot(density(Mooch_sales$Sales_per_market_segment_4),col="Blue")

hist(Mooch_sales$Sales_per_market_segment_4,prob=TRUE,col="grey") 
lines(density(Mooch_sales$Sales_per_market_segment_4),col="blue",lwd=2) 
lines(density(Mooch_sales$Sales_per_market_segment_4,adjust=2),lty="dotted",col="RED",lwd=2)

##############################
########## skewness ##########
##############################

# here  the  points  is moved to  the  Right that is "0.01674235" +ve skewness 

##############################
########## Kurtosis ##########
##############################


# in the give Data the Sales_per_market_segment_4 is Platykurtic because  the  Value  is      "-1.321457" Negative
Sales per market segment 5
hist(Mooch_sales$Sales_per_market_segment_5,main="Students' Union's Mooch bar", xlab="Sales per market segment 5",border="lightcoral",col="darkseagreen2",las=2)

# the Sales per market segment Certainly tells that there is a long tail left hand side,there is a some kind of Skewness which we  can obviously look this  data 
hist(log(Mooch_sales$Sales_per_market_segment_5),main="Students' Union's Mooch bar", xlab="Sales per market segment 5",border="lightcoral",col="darkseagreen2",las=2)

# # Doing a kind of transformation here in a logarithmic  scale for the value of Sales per market segment 5
plot(density(Mooch_sales$Sales_per_market_segment_5),col="Blue")

hist(Mooch_sales$Sales_per_market_segment_5,prob=TRUE,col="grey") 
lines(density(Mooch_sales$Sales_per_market_segment_5),col="blue",lwd=2) 
lines(density(Mooch_sales$Sales_per_market_segment_5,adjust=2),lty="dotted",col="RED",lwd=2)

##############################
########## skewness ##########
##############################


# here  the  points  is moved to  the  left that is "-0.1363499" -ve skewness 

##############################
########## Kurtosis ##########
##############################

# in the give Data the Sales_per_market_segment_5 is Platykurtic because  the  Value  is      "-1.661504" Negative
Sales per market segment 6
hist(Mooch_sales$Sales_per_market_segment_6,main="Students' Union's Mooch bar", xlab="Sales per market segment 6",border="lightcoral",col="darkseagreen2",las=2)

# the Sales per market segment Certainly tells that there is a long tail left hand side,there is a some kind of Skewness which we  can obviously look this  data 
hist(log(Mooch_sales$Sales_per_market_segment_6),main="Students' Union's Mooch bar", xlab="Sales per market segment 6",border="lightcoral",col="darkseagreen2",las=2)

# # Doing a kind of transformation here in a logarithmic  scale for the value of Sales per market segment 6
plot(density(Mooch_sales$Sales_per_market_segment_6),col="Blue")

hist(Mooch_sales$Sales_per_market_segment_6,prob=TRUE,col="grey") 
lines(density(Mooch_sales$Sales_per_market_segment_6),col="blue",lwd=2) 
lines(density(Mooch_sales$Sales_per_market_segment_6,adjust=2),lty="dotted",col="RED",lwd=2)

##############################
########## skewness ##########
##############################


# here  the  points  is moved to  the  left that is "-0.02818853" -ve skewness 

##############################
########## Kurtosis ##########
##############################


# in the give Data the Sales_per_market_segment_6 is Platykurtic because  the  Value  is      "-1.601279" Negative
Sales per market segment 7
hist(Mooch_sales$Sales_per_market_segment_7,main="Students' Union's Mooch bar", xlab="Sales per market segment 7",border="lightcoral",col="darkseagreen2",las=2)

# the Sales per market segment Certainly tells that there is a long tail left hand side,there is a some kind of Skewness which we  can obviously look this  data 
hist(log(Mooch_sales$Sales_per_market_segment_7),main="Students' Union's Mooch bar", xlab="Sales per market segment 7",border="lightcoral",col="darkseagreen2",las=2)

# # Doing a kind of transformation here in a logarithmic  scale for the value of Sales per market segment 7

66

plot(density(Mooch_sales$Sales_per_market_segment_7),col="Blue")

hist(Mooch_sales$Sales_per_market_segment_7,prob=TRUE,col="grey") 
lines(density(Mooch_sales$Sales_per_market_segment_7),col="blue",lwd=2) 
lines(density(Mooch_sales$Sales_per_market_segment_7,adjust=2),lty="dotted",col="RED",lwd=2)

##############################
########## skewness ##########
##############################


# here  the  points  is moved to  the  left that is "-0.1788896" -ve skewness 

##############################
########## Kurtosis ##########
##############################

# in the give Data the Sales_per_market_segment_7 is Platykurtic because  the  Value  is      "-1.416921" Negative
Sales per market segment 8
hist(Mooch_sales$Sales_per_market_segment_8,main="Students' Union's Mooch bar", xlab="Sales per market segment 8",border="lightcoral",col="darkseagreen2",las=2)

# the Sales per market segment Certainly tells that there is a long tail left hand side,there is a some kind of Skewness which we  can obviously look this  data 
hist(log(Mooch_sales$Sales_per_market_segment_8),main="Students' Union's Mooch bar", xlab="Sales per market segment 8",border="lightcoral",col="darkseagreen2",las=2)

# # Doing a kind of transformation here in a logarithmic  scale for the value of Sales per market segment 8
plot(density(Mooch_sales$Sales_per_market_segment_8),col="Blue")

hist(Mooch_sales$Sales_per_market_segment_8,prob=TRUE,col="grey") 
lines(density(Mooch_sales$Sales_per_market_segment_8),col="blue",lwd=2) 
lines(density(Mooch_sales$Sales_per_market_segment_8,adjust=2),lty="dotted",col="RED",lwd=2)

##############################
########## skewness ##########
##############################


# here  the  points  is moved to  the  left that is "-0.3056849" -ve skewness 

##############################
########## Kurtosis ##########
##############################


# in the give Data the Sales_per_market_segment_8 is Platykurtic because  the  Value  is      "-1.019106" Negative

I would like to recommend targeting with incentive vouchers to boost profit within the Students’ Union’s Mooch bar there Sales per market segment 3 and 4 beacuse the data points moved to right then we say that Positive Symentric in Sales per market segment 3(0.1956756) and Sales per market segment 4(0.01674235)

first preference Sales per market segment 3(0.1956756)

Second preference Sales per market segment 4(0.01674235)