data2<-read.csv(“~/sorghum1.csv”)
head(data2) tail(data2) str(data2)
sorghum1<-data2$sorghum
any(is.na(sorghum1)) sum(is.na( sorghum1))
is.ts(sorghum1) class(sorghum1)
converting time series
sorghum1ts<-ts(sorghum1, start = 1961, end = 2023, frequency = 1) is.ts(sorghum1ts) class(sorghum1ts)
start(sorghum1ts) end(sorghum1ts)
plotting
plot.ts(sorghum1ts)
Editin plot
plot.ts(sorghum1ts, xlab=“time”, ylab=“sorghum yeild”, main=“sorghum yeild in somalia 1961 - 2023”, col=“blue”)
data("AirPassengers")
summary(AirPassengers)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 104.0 180.0 265.5 280.3 360.5 622.0
hist(AirPassengers)
boxplot(AirPassengers)
plot(density(AirPassengers))