Việc 4. Thông tin về dữ liệu ob

ob = read.csv("D:\\HUYEN\\DAU\\Tap huan R\\Obesity data.csv")
dim(ob)
## [1] 1217   13
head(ob)
tail(ob)
summary(ob)
##        id            gender              height          weight     
##  Min.   :   1.0   Length:1217        Min.   :136.0   Min.   :34.00  
##  1st Qu.: 309.0   Class :character   1st Qu.:151.0   1st Qu.:49.00  
##  Median : 615.0   Mode  :character   Median :155.0   Median :54.00  
##  Mean   : 614.5                      Mean   :156.7   Mean   :55.14  
##  3rd Qu.: 921.0                      3rd Qu.:162.0   3rd Qu.:61.00  
##  Max.   :1227.0                      Max.   :185.0   Max.   :95.00  
##       bmi            age            WBBMC          wbbmd            fat       
##  Min.   :14.5   Min.   :13.00   Min.   : 695   Min.   :0.650   Min.   : 4277  
##  1st Qu.:20.2   1st Qu.:35.00   1st Qu.:1481   1st Qu.:0.930   1st Qu.:13768  
##  Median :22.2   Median :48.00   Median :1707   Median :1.010   Median :16955  
##  Mean   :22.4   Mean   :47.15   Mean   :1725   Mean   :1.009   Mean   :17288  
##  3rd Qu.:24.3   3rd Qu.:58.00   3rd Qu.:1945   3rd Qu.:1.090   3rd Qu.:20325  
##  Max.   :37.1   Max.   :88.00   Max.   :3040   Max.   :1.350   Max.   :40825  
##       lean           pcfat       hypertension      diabetes     
##  Min.   :19136   Min.   : 9.2   Min.   :0.000   Min.   :0.0000  
##  1st Qu.:30325   1st Qu.:27.0   1st Qu.:0.000   1st Qu.:0.0000  
##  Median :33577   Median :32.4   Median :1.000   Median :0.0000  
##  Mean   :35463   Mean   :31.6   Mean   :0.507   Mean   :0.1109  
##  3rd Qu.:39761   3rd Qu.:36.8   3rd Qu.:1.000   3rd Qu.:0.0000  
##  Max.   :63059   Max.   :48.4   Max.   :1.000   Max.   :1.0000

Việc 5. Biên tập dữ liệu

##5.1 Mã hóa giới tính

ob$sex[ob$gender == "F"] = 1
ob$sex[ob$gender == "M"] = 0
table(ob$sex, ob$gender)
##    
##       F   M
##   0   0 355
##   1 862   0
ob$sex.b = ifelse(ob$gender== "F", 1, 0)
table(ob$sex.b, ob$gender)
##    
##       F   M
##   0   0 355
##   1 862   0
head(ob)
ob$obese[ob$bmi< 18.5] = "Underweight"
ob$obese[ob$bmi>= 18.5 & ob$bmi< 25] = "Normal"
ob$obese[ob$bmi>= 25 & ob$bmi< 30] = "Overweight"
ob$obese[ob$bmi>= 30] = "Obese"
ob$lean.kg = ob$lean/1000
ob$fat.kg = ob$fat/1000
men.overweight = subset(ob, gender == "M" & bmi>= 25)
dim(men.overweight)
## [1] 85 18
table(men.overweight$obese)
## 
##      Obese Overweight 
##          4         81
Demo = subset(ob, select = c(id, age, gender, weight, height, pcfat))
dim(Demo)
## [1] 1217    6
head(Demo)
Demo.2 = ob[, c("id", "age", "gender", "weight", "height", "pcfat")]
head(Demo.2)