17 filters in Data Frame R Language Telugu

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wbvlr<-read.csv("gd.csv")
wbvlr
nrow(wbvlr)
ncol(wbvlr)
head(wbvlr)
tail(wbvlr)
head(wbvlr,n=10)
tail(wbvlr,n=1)
?str()
#Interview
str(wbvlr)
summary(wbvlr)
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head(wbvlr)
wbvlr[1,3]
wbvlr[,3]
wbvlr[2,]
wbvlr[c(1,2,9),]
wbvlr[2,"Income.Group"]
wbvlr[,3]
wbvlr$
  wbvlr$Income.Group
wbvlr$Country.Name
wbvlr$Country.Name[3]
wbvlr$Income.Group

levels(wbvlr$Income.Group)
levels(wbvlr$Country.Name)
levels(wbvlr$Internet.users)
head(wbvlr)
# ------------
wbvlr[1:10,]
wbvlr[1:10,]
wbvlr[c(1,4),]
wbvlr[1,]
is.data.frame(wbvlr[1,])
wbvlr[,1]
is.data.frame(wbvlr[,1])
wbvlr[,1,drop=F]
#--
wbvlr$Birth.rate * wbvlr$Internet.users
wbvlr$Birth.rate*wbvlr$Internet.users
#extra column
head(wbvlr)
wbvlr$bi
wbvlr$a<- wbvlr$Birth.rate * wbvlr$Internet.users
wbvlr$bi<-  wbvlr$Birth.rate * wbvlr$Internet.users
wbvlr$bi<-NULL
wbvlr$a
wbvlr
wbvlr$b<-c(1:3)
head(wbvlr)
wbvlr$d<-c(1:4)
wbvlr$ramesh<-c(1:4)
wbvlr
#remove cou
wbvlr$ramesh<-NULL
# filter ing data
head(wbvlr)
wbvlr$b<-NULL
wbvlr$c<-NULL
wbvlr$Internet.users<2
wbvlr$Internet.users<2

les2<-wbvlr$Internet.users<2
wbvlr[les2,]
wbvlr[wbvlr$Birth.rate>40,]
str(wbvlr[wbvlr$Birth.rate>40,])
wbvlr[wbvlr$Birth.rate>40 & les2,]
wbvlr[wbvlr$Income.Group == "Low income",]

wbvlr[wbvlr$Income.Group == "Low income",]