program_2

Write an R script to create a scatter plot, incorporating categorical analysis through color-coded data points representing different groups, using ggplot2.

Step-1:Load Necessary Libraries

# Load the necesssary library
library(ggplot2)
library(dplyr)

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Step-2: Load the Dataset

Explanation:

• The iris dataset contains 150 samples of iris flowers categorized into 3 species

• Each sample has the Sepal and the petal measurements.

• head(data) displays the first few rows.

# load the iris dataset
data<- iris
#display the first few rows
head(data , n=10)

   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
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

table(data$Species)

    setosa versicolor  virginica 
        50         50         50 

Step-3: Create a Scatter Plot

ggplot(data, aes(x = Sepal.Length, y= Sepal.Width, color = Species))+
  geom_point(size=3,alpha = 0.7)+
  labs(title = "Scatter Plot of Sepal Dimensions",
       x= "Sepal length",
       y = "Sepal Width",# legend title
       theme_minimal() + # clean layout
       theme(legend.position = "top")) # move legend to top