Iris_Statistics.R

# Load the dataset
data(iris)

# Summary statistics
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  
##                 
##                 
## 

# Histogram of each variable
hist(iris$Sepal.Length, main="Sepal Length Distribution", xlab="Sepal Length", col="blue")

# Scatter plot between Sepal Length and Petal Length
plot(iris$Sepal.Length, iris$Petal.Length, main="Sepal vs Petal Length", xlab="Sepal Length", ylab="Petal Length", col="red")

# Correlation matrix and heatmap
cor_matrix <- cor(iris[,1:4])
heatmap(cor_matrix)