Praveen Kumar P
10th April 2019
jubi533155 <- read.csv("C:/Users/prave/OneDrive/bigdata/R/project/bse/jubi533155.csv")
J<-data.frame(jubi533155)
View(J)
# Select required coloumns
JB<- subset(J,select =c(Date,Open.Price,Low.Price,High.Price,Close.Price))
View(JB)
x<-JB
View(x)
# Selecting the top 50 Rows
x<-head(JB,n=20L)
View(x)
summary(cars)
speed dist
Min. : 4.0 Min. : 2.00
1st Qu.:12.0 1st Qu.: 26.00
Median :15.0 Median : 36.00
Mean :15.4 Mean : 42.98
3rd Qu.:19.0 3rd Qu.: 56.00
Max. :25.0 Max. :120.00