prg 2

Author

likhitha

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 necessary libraries
library(ggplot2)

Warning: package 'ggplot2' was built under R version 4.4.3

library(dplyr)

Warning: package 'dplyr' was built under R version 4.4.3


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 150 samples of iris flowers categorized

#Load the 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)

< table of extent 0 >

Step 3: Create a scatter plot using ggplot2

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