PROGRAM 2

Author

JAGADISH J M

Quarto

Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see https://quarto.org.

Running Code

When you click the Render button a document will be generated that includes both content and the output of embedded code. You can embed code like this:

1 + 1

[1] 2

You can add options to executable code like this

[1] 4

The echo: false option disables the printing of code (only output is displayed).

Step 1:Load necessary libraries

#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

names(data)

NULL

Step 2:Load the Dataset

Explanation:

#load the iris dataset
data <- iris
#display first few rows
head(data)

  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

Step 3:create a Scatter plot

# Load ggplot2
library(ggplot2)

# Example using the iris dataset
ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width, color = Species)) + 
  geom_point(size = 3, alpha = 0.7) +  # Increase point size & transparency
  labs(title = "Scatter plot of sepal dimensions",
       x = "Sepal Length",  # Label for x-axis
       y = "Sepal Width",   # Label for y-axis
       color = "Species") +  # Legend title
  theme_minimal() +  # Clean layout
  theme(legend.position = "top")  # Move legend to the top