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

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

# Load the iris dataset
data <- iris

# display 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 

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",
       color = "Species") +
  theme_minimal()+
  theme (legend.position = "top")