prog13

Program 13

Write an R program to create multiple dot plot for grouped data, comparing the distribution of variable across different categories using ggplot2

Step 1:Load Required library

library(ggplot2)

Step 2:Load dataset

data(iris)
head(iris)

  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

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 ...
 $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...

Step 3:Creating dotplot

ggplot(iris, aes(x = Species, y = Sepal.Length, fill = Species)) +
  geom_dotplot(
    binaxis = "y", 
    stackdir = "center",
    dotsize = 0.7,
    alpha = 0.6, 
    color = "black"
  ) +
  labs(
    title = "Distribution of Sepal Length by Iris Species",
    x = "Species",
    y = "Sepal Length"
  ) +
  theme_minimal(base_size = 14)

Bin width defaults to 1/30 of the range of the data. Pick better value with
`binwidth`.