Data Science Project

Dataset used: Iris

library(ggplot2)
iris <- read.csv("iris.csv")
iris

Explaining the datasheet:

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" ...

print("Target variable:")

[1] "Target variable:"

iris[,5]

  [1] "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"    
  [8] "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"    
 [15] "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"    
 [22] "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"    
 [29] "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"    
 [36] "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"    
 [43] "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"     "Setosa"    
 [50] "Setosa"     "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor"
 [57] "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor"
 [64] "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor"
 [71] "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor"
 [78] "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor"
 [85] "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor"
 [92] "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor" "Versicolor"
 [99] "Versicolor" "Versicolor" "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica" 
[106] "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica" 
[113] "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica" 
[120] "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica" 
[127] "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica" 
[134] "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica" 
[141] "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica"  "Virginica" 
[148] "Virginica"  "Virginica"  "Virginica" 

Removing catagorial columns:

There are no catergorial columns in this dataset.

Scatterplot:

scatter_plot <- ggplot(iris, aes(x = sepal.length, y = sepal.width, color = variety)) + geom_point() + labs(title = "Scatter Plot of Sepal Length vs. Sepal Width by Species")

scatter_plot

Boxplot:

ggplot(iris, aes(y = sepal.length, x = variety, fill = variety)) +
  geom_boxplot()

Violinplot:

ggplot(iris, aes(y = sepal.length, x = variety, fill = variety)) +
  geom_violin()