Week 2: Challenge

data("iris") # load the iris data set
head(iris, 5) # view the first 5 rows of the iris data

summary(iris) # summarize data using min., 1st quantile, median, mean, etc.

##   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  
##                 
##                 
## 

petal_width_mean <- mean(iris$Petal.Width) # calculate the mean of the petal width data.
print(paste("The mean petal width in the Iris dataset is", petal_width_mean))

## [1] "The mean petal width in the Iris dataset is 1.19933333333333"

petal_width_median <- median(iris$Petal.Length) # calculate the median of the petal length data.
print(paste("The median petal length in the Iris dataset is", petal_width_median))

## [1] "The median petal length in the Iris dataset is 4.35"