Data - Dean’s Dilemm
Prabha Shankar
December 9, 2017
Task 2B
setwd("C:/Users/Prabha Shankar/Desktop/Winter Internship/R file")
dd <- read.csv(paste("Data - Deans Dilemma.csv"))
View(dd)Task 2c
summary(dd)## SlNo Gender Gender.B Percent_SSC Board_SSC
## Min. : 1.0 F:127 Min. :0.0000 Min. :37.00 CBSE :113
## 1st Qu.: 98.5 M:264 1st Qu.:0.0000 1st Qu.:56.00 ICSE : 77
## Median :196.0 Median :0.0000 Median :64.50 Others:201
## Mean :196.0 Mean :0.3248 Mean :64.65
## 3rd Qu.:293.5 3rd Qu.:1.0000 3rd Qu.:74.00
## Max. :391.0 Max. :1.0000 Max. :87.20
##
## Board_CBSE Board_ICSE Percent_HSC Board_HSC
## Min. :0.000 Min. :0.0000 Min. :40.0 CBSE : 96
## 1st Qu.:0.000 1st Qu.:0.0000 1st Qu.:54.0 ISC : 48
## Median :0.000 Median :0.0000 Median :63.0 Others:247
## Mean :0.289 Mean :0.1969 Mean :63.8
## 3rd Qu.:1.000 3rd Qu.:0.0000 3rd Qu.:72.0
## Max. :1.000 Max. :1.0000 Max. :94.7
##
## Stream_HSC Percent_Degree Course_Degree
## Arts : 18 Min. :35.00 Arts : 13
## Commerce:222 1st Qu.:57.52 Commerce :117
## Science :151 Median :63.00 Computer Applications: 32
## Mean :62.98 Engineering : 37
## 3rd Qu.:69.00 Management :163
## Max. :89.00 Others : 5
## Science : 24
## Degree_Engg Experience_Yrs Entrance_Test S.TEST
## Min. :0.00000 Min. :0.0000 MAT :265 Min. :0.0000
## 1st Qu.:0.00000 1st Qu.:0.0000 None : 67 1st Qu.:1.0000
## Median :0.00000 Median :0.0000 K-MAT : 24 Median :1.0000
## Mean :0.09463 Mean :0.4783 CAT : 22 Mean :0.8286
## 3rd Qu.:0.00000 3rd Qu.:1.0000 PGCET : 8 3rd Qu.:1.0000
## Max. :1.00000 Max. :3.0000 GCET : 2 Max. :1.0000
## (Other): 3
## Percentile_ET S.TEST.SCORE Percent_MBA
## Min. : 0.00 Min. : 0.00 Min. :50.83
## 1st Qu.:41.19 1st Qu.:41.19 1st Qu.:57.20
## Median :62.00 Median :62.00 Median :61.01
## Mean :54.93 Mean :54.93 Mean :61.67
## 3rd Qu.:78.00 3rd Qu.:78.00 3rd Qu.:66.02
## Max. :98.69 Max. :98.69 Max. :77.89
##
## Specialization_MBA Marks_Communication Marks_Projectwork
## Marketing & Finance:222 Min. :50.00 Min. :50.00
## Marketing & HR :156 1st Qu.:53.00 1st Qu.:64.00
## Marketing & IB : 13 Median :58.00 Median :69.00
## Mean :60.54 Mean :68.36
## 3rd Qu.:67.00 3rd Qu.:74.00
## Max. :88.00 Max. :87.00
##
## Marks_BOCA Placement Placement_B Salary
## Min. :50.00 Not Placed: 79 Min. :0.000 Min. : 0
## 1st Qu.:57.00 Placed :312 1st Qu.:1.000 1st Qu.:172800
## Median :63.00 Median :1.000 Median :240000
## Mean :64.38 Mean :0.798 Mean :219078
## 3rd Qu.:72.50 3rd Qu.:1.000 3rd Qu.:300000
## Max. :96.00 Max. :1.000 Max. :940000
## Task 3a
median(dd$Salary)## [1] 240000Task 3b
percent <- prop.table(table(dd$Placement_B))*100
round(percent[2],digits =2)## 1
## 79.8Task 3c
placed <- dd[ which(dd$Placement=="Placed"),]Task 3d
median(placed$Salary)## [1] 260000Task 3e
aggregate(placed$Salary,by=list(gender=placed$Gender),mean)## gender x
## 1 F 253068.0
## 2 M 284241.9Task 3f
hist(placed$Percent_MBA , main = "MBA Performance of placed students" , xlab = "MBA Percentage" , ylab = "count", breaks= 5 ,col="gray")
## Task 3g
notplaced <- dd[which(dd$Placement== "Not Placed"),]Task 3h
par(mfrow=c(1,2))
with(placed, hist(placed$Percent_MBA, main = "Placed students", breaks = 2, xlab = "MBA percentage"))
with(notplaced, hist(notplaced$Percent_MBA, main = "Not placed", breaks = 2, xlab = "MBA percentage"))
## Task 3i
boxplot(placed$Salary ~ placed$Gender , xlab = "salary" , ylab = "Gender" ,main = "comparison of salaries of male and female", horizontal = TRUE)
## Task 3j
placedET <- dd[which(dd$Placement_B == "1" & dd$S.TEST == "1" ),]Task 3k
library(car)## Warning: package 'car' was built under R version 3.3.3scatterplotMatrix(formula = ~ Salary + Percent_MBA + Percentile_ET, data = placedET, main = "Scatter Plot Matrix")