cases <- read.table("C:/Users/User/Desktop/Mahidol-Oxford Bangkok/maldata.csv",sep = ",", strip.white = T, header = T)
summary(cases)
## year new.case
## Min. :1991 Min. : 26891
## 1st Qu.:1996 1st Qu.: 53102
## Median :2003 Median : 59219
## Mean :2003 Mean : 66591
## 3rd Qu.:2008 3rd Qu.: 65748
## Max. :2014 Max. :150682
head(cases)
## year new.case
## 1 1991 62726
## 2 1992 114110
## 3 1993 123722
## 4 1994 150682
## 5 1995 98745
## 6 1996 67623
str(cases)
## 'data.frame': 23 obs. of 2 variables:
## $ year : int 1991 1992 1993 1994 1995 1996 1997 1998 1999 2001 ...
## $ new.case: int 62726 114110 123722 150682 98745 67623 59219 36246 54430 59325 ...
plot(cases$new.case ~cases$year, type ="l",
lwd=2, col="red", xlab="Time(year)", ylab="new.case",
main="Bangladesh Malaria incidence")
