Dataset preprocessing
iris = read.csv("iris.csv")
iris
## sepal.length sepal.width petal.length petal.width variety
## 1 5.1 3.5 1.4 0.2 Setosa
## 2 4.9 3.0 1.4 0.2 Setosa
## 3 4.7 3.2 1.3 0.2 Setosa
## 4 4.6 3.1 1.5 0.2 Setosa
## 5 5.0 3.6 1.4 0.2 Setosa
## 6 5.4 3.9 1.7 0.4 Setosa
## 7 4.6 3.4 1.4 0.3 Setosa
## 8 5.0 3.4 1.5 0.2 Setosa
## 9 4.4 2.9 1.4 0.2 Setosa
## 10 4.9 3.1 1.5 0.1 Setosa
## 11 5.4 3.7 1.5 0.2 Setosa
## 12 4.8 3.4 1.6 0.2 Setosa
## 13 4.8 3.0 1.4 0.1 Setosa
## 14 4.3 3.0 1.1 0.1 Setosa
## 15 5.8 4.0 1.2 0.2 Setosa
## 16 5.7 4.4 1.5 0.4 Setosa
## 17 5.4 3.9 1.3 0.4 Setosa
## 18 5.1 3.5 1.4 0.3 Setosa
## 19 5.7 3.8 1.7 0.3 Setosa
## 20 5.1 3.8 1.5 0.3 Setosa
## 21 5.4 3.4 1.7 0.2 Setosa
## 22 5.1 3.7 1.5 0.4 Setosa
## 23 4.6 3.6 1.0 0.2 Setosa
## 24 5.1 3.3 1.7 0.5 Setosa
## 25 4.8 3.4 1.9 0.2 Setosa
## 26 5.0 3.0 1.6 0.2 Setosa
## 27 5.0 3.4 1.6 0.4 Setosa
## 28 5.2 3.5 1.5 0.2 Setosa
## 29 5.2 3.4 1.4 0.2 Setosa
## 30 4.7 3.2 1.6 0.2 Setosa
## 31 4.8 3.1 1.6 0.2 Setosa
## 32 5.4 3.4 1.5 0.4 Setosa
## 33 5.2 4.1 1.5 0.1 Setosa
## 34 5.5 4.2 1.4 0.2 Setosa
## 35 4.9 3.1 1.5 0.2 Setosa
## 36 5.0 3.2 1.2 0.2 Setosa
## 37 5.5 3.5 1.3 0.2 Setosa
## 38 4.9 3.6 1.4 0.1 Setosa
## 39 4.4 3.0 1.3 0.2 Setosa
## 40 5.1 3.4 1.5 0.2 Setosa
## 41 5.0 3.5 1.3 0.3 Setosa
## 42 4.5 2.3 1.3 0.3 Setosa
## 43 4.4 3.2 1.3 0.2 Setosa
## 44 5.0 3.5 1.6 0.6 Setosa
## 45 5.1 3.8 1.9 0.4 Setosa
## 46 4.8 3.0 1.4 0.3 Setosa
## 47 5.1 3.8 1.6 0.2 Setosa
## 48 4.6 3.2 1.4 0.2 Setosa
## 49 5.3 3.7 1.5 0.2 Setosa
## 50 5.0 3.3 1.4 0.2 Setosa
## 51 7.0 3.2 4.7 1.4 Versicolor
## 52 6.4 3.2 4.5 1.5 Versicolor
## 53 6.9 3.1 4.9 1.5 Versicolor
## 54 5.5 2.3 4.0 1.3 Versicolor
## 55 6.5 2.8 4.6 1.5 Versicolor
## 56 5.7 2.8 4.5 1.3 Versicolor
## 57 6.3 3.3 4.7 1.6 Versicolor
## 58 4.9 2.4 3.3 1.0 Versicolor
## 59 6.6 2.9 4.6 1.3 Versicolor
## 60 5.2 2.7 3.9 1.4 Versicolor
## 61 5.0 2.0 3.5 1.0 Versicolor
## 62 5.9 3.0 4.2 1.5 Versicolor
## 63 6.0 2.2 4.0 1.0 Versicolor
## 64 6.1 2.9 4.7 1.4 Versicolor
## 65 5.6 2.9 3.6 1.3 Versicolor
## 66 6.7 3.1 4.4 1.4 Versicolor
## 67 5.6 3.0 4.5 1.5 Versicolor
## 68 5.8 2.7 4.1 1.0 Versicolor
## 69 6.2 2.2 4.5 1.5 Versicolor
## 70 5.6 2.5 3.9 1.1 Versicolor
## 71 5.9 3.2 4.8 1.8 Versicolor
## 72 6.1 2.8 4.0 1.3 Versicolor
## 73 6.3 2.5 4.9 1.5 Versicolor
## 74 6.1 2.8 4.7 1.2 Versicolor
## 75 6.4 2.9 4.3 1.3 Versicolor
## 76 6.6 3.0 4.4 1.4 Versicolor
## 77 6.8 2.8 4.8 1.4 Versicolor
## 78 6.7 3.0 5.0 1.7 Versicolor
## 79 6.0 2.9 4.5 1.5 Versicolor
## 80 5.7 2.6 3.5 1.0 Versicolor
## 81 5.5 2.4 3.8 1.1 Versicolor
## 82 5.5 2.4 3.7 1.0 Versicolor
## 83 5.8 2.7 3.9 1.2 Versicolor
## 84 6.0 2.7 5.1 1.6 Versicolor
## 85 5.4 3.0 4.5 1.5 Versicolor
## 86 6.0 3.4 4.5 1.6 Versicolor
## 87 6.7 3.1 4.7 1.5 Versicolor
## 88 6.3 2.3 4.4 1.3 Versicolor
## 89 5.6 3.0 4.1 1.3 Versicolor
## 90 5.5 2.5 4.0 1.3 Versicolor
## 91 5.5 2.6 4.4 1.2 Versicolor
## 92 6.1 3.0 4.6 1.4 Versicolor
## 93 5.8 2.6 4.0 1.2 Versicolor
## 94 5.0 2.3 3.3 1.0 Versicolor
## 95 5.6 2.7 4.2 1.3 Versicolor
## 96 5.7 3.0 4.2 1.2 Versicolor
## 97 5.7 2.9 4.2 1.3 Versicolor
## 98 6.2 2.9 4.3 1.3 Versicolor
## 99 5.1 2.5 3.0 1.1 Versicolor
## 100 5.7 2.8 4.1 1.3 Versicolor
## 101 6.3 3.3 6.0 2.5 Virginica
## 102 5.8 2.7 5.1 1.9 Virginica
## 103 7.1 3.0 5.9 2.1 Virginica
## 104 6.3 2.9 5.6 1.8 Virginica
## 105 6.5 3.0 5.8 2.2 Virginica
## 106 7.6 3.0 6.6 2.1 Virginica
## 107 4.9 2.5 4.5 1.7 Virginica
## 108 7.3 2.9 6.3 1.8 Virginica
## 109 6.7 2.5 5.8 1.8 Virginica
## 110 7.2 3.6 6.1 2.5 Virginica
## 111 6.5 3.2 5.1 2.0 Virginica
## 112 6.4 2.7 5.3 1.9 Virginica
## 113 6.8 3.0 5.5 2.1 Virginica
## 114 5.7 2.5 5.0 2.0 Virginica
## 115 5.8 2.8 5.1 2.4 Virginica
## 116 6.4 3.2 5.3 2.3 Virginica
## 117 6.5 3.0 5.5 1.8 Virginica
## 118 7.7 3.8 6.7 2.2 Virginica
## 119 7.7 2.6 6.9 2.3 Virginica
## 120 6.0 2.2 5.0 1.5 Virginica
## 121 6.9 3.2 5.7 2.3 Virginica
## 122 5.6 2.8 4.9 2.0 Virginica
## 123 7.7 2.8 6.7 2.0 Virginica
## 124 6.3 2.7 4.9 1.8 Virginica
## 125 6.7 3.3 5.7 2.1 Virginica
## 126 7.2 3.2 6.0 1.8 Virginica
## 127 6.2 2.8 4.8 1.8 Virginica
## 128 6.1 3.0 4.9 1.8 Virginica
## 129 6.4 2.8 5.6 2.1 Virginica
## 130 7.2 3.0 5.8 1.6 Virginica
## 131 7.4 2.8 6.1 1.9 Virginica
## 132 7.9 3.8 6.4 2.0 Virginica
## 133 6.4 2.8 5.6 2.2 Virginica
## 134 6.3 2.8 5.1 1.5 Virginica
## 135 6.1 2.6 5.6 1.4 Virginica
## 136 7.7 3.0 6.1 2.3 Virginica
## 137 6.3 3.4 5.6 2.4 Virginica
## 138 6.4 3.1 5.5 1.8 Virginica
## 139 6.0 3.0 4.8 1.8 Virginica
## 140 6.9 3.1 5.4 2.1 Virginica
## 141 6.7 3.1 5.6 2.4 Virginica
## 142 6.9 3.1 5.1 2.3 Virginica
## 143 5.8 2.7 5.1 1.9 Virginica
## 144 6.8 3.2 5.9 2.3 Virginica
## 145 6.7 3.3 5.7 2.5 Virginica
## 146 6.7 3.0 5.2 2.3 Virginica
## 147 6.3 2.5 5.0 1.9 Virginica
## 148 6.5 3.0 5.2 2.0 Virginica
## 149 6.2 3.4 5.4 2.3 Virginica
## 150 5.9 3.0 5.1 1.8 Virginica
str(iris)
## 'data.frame': 150 obs. of 5 variables:
## $ sepal.length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
## $ sepal.width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
## $ petal.length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
## $ petal.width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
## $ variety : chr "Setosa" "Setosa" "Setosa" "Setosa" ...
# select row for setosa.
setosa = iris[iris$variety == "Setosa" , ]
head(setosa)
## sepal.length sepal.width petal.length petal.width variety
## 1 5.1 3.5 1.4 0.2 Setosa
## 2 4.9 3.0 1.4 0.2 Setosa
## 3 4.7 3.2 1.3 0.2 Setosa
## 4 4.6 3.1 1.5 0.2 Setosa
## 5 5.0 3.6 1.4 0.2 Setosa
## 6 5.4 3.9 1.7 0.4 Setosa
# sepal length > 5.843
se= setosa[setosa$sepal.length > 5.843, ]
se
## [1] sepal.length sepal.width petal.length petal.width variety
## <0 rows> (or 0-length row.names)
head(iris[iris$sepal.length > 5.843, ])
## sepal.length sepal.width petal.length petal.width variety
## 51 7.0 3.2 4.7 1.4 Versicolor
## 52 6.4 3.2 4.5 1.5 Versicolor
## 53 6.9 3.1 4.9 1.5 Versicolor
## 55 6.5 2.8 4.6 1.5 Versicolor
## 57 6.3 3.3 4.7 1.6 Versicolor
## 59 6.6 2.9 4.6 1.3 Versicolor
library(ggplot2)
## Warning: package 'ggplot2' was built under R version 4.3.3
ggplot(iris,aes(x=variety,y=sepal.length,fill=variety))+ geom_boxplot()
task work
col_names = names(iris)
for(c in col_names){
print(c)
}
## [1] "sepal.length"
## [1] "sepal.width"
## [1] "petal.length"
## [1] "petal.width"
## [1] "variety"
library(ggplot2)
ggplot(iris,aes(x=variety,y=sepal.width,fill=variety))+ geom_boxplot()
library(ggplot2)
ggplot(iris,aes(x=variety,y=petal.length,fill=variety))+ geom_boxplot()
library(ggplot2)
ggplot(iris,aes(x=variety,y=petal.width,fill=variety))+ geom_boxplot()
