ggplot

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# Load the ggplot2 library
library(ggplot2)

# Aggregate the count of each species
species_count <- table(iris$Species)

# Convert the table to a data frame
species_df <- as.data.frame(species_count)
species_df$Species <- rownames(species_df)

# Create a bar graph
ggplot(species_df, aes(x = Species, y = Freq)) +
  geom_bar(stat = "identity", fill = "skyblue") +
  labs(title = "Bar Graph of Iris Species Counts", x = "Species", y = "Count")

# Load the ggplot2 library
library(ggplot2)

# Count the number of each species
species_count <- table(iris$Species)

# Create a pie chart
ggplot(data = as.data.frame(species_count), aes(x = "", y = Freq, fill = Var1)) +
  geom_bar(stat = "identity") +
  coord_polar(theta = "y") +
  labs(title = "Pie Chart of Iris Species Proportions", fill = "Species") +
  scale_fill_manual(values = c("setosa" = "red", "versicolor" = "green", "virginica" = "blue"))

# Load the ggplot2 library
library(ggplot2)

# Create a scatterplot for the Iris dataset
ggplot(iris, aes(x = Sepal.Length, y = Sepal.Width, color = Species)) +
  geom_point() +
  labs(title = "Scatterplot of Sepal Length vs. Sepal Width", x = "Sepal Length", y = "Sepal Width")

# Load the ggplot2 library
library(ggplot2)

# Create a box plot for the Iris dataset
ggplot(iris, aes(x = Species, y = Sepal.Length, fill = Species)) +
  geom_boxplot() +
  labs(title = "Box Plot of Sepal Length by Species", x = "Species", y = "Sepal Length")

summary(iris)

##   Sepal.Length    Sepal.Width     Petal.Length    Petal.Width   
##  Min.   :4.300   Min.   :2.000   Min.   :1.000   Min.   :0.100  
##  1st Qu.:5.100   1st Qu.:2.800   1st Qu.:1.600   1st Qu.:0.300  
##  Median :5.800   Median :3.000   Median :4.350   Median :1.300  
##  Mean   :5.843   Mean   :3.057   Mean   :3.758   Mean   :1.199  
##  3rd Qu.:6.400   3rd Qu.:3.300   3rd Qu.:5.100   3rd Qu.:1.800  
##  Max.   :7.900   Max.   :4.400   Max.   :6.900   Max.   :2.500  
##        Species  
##  setosa    :50  
##  versicolor:50  
##  virginica :50  
##                 
##                 
## 

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