# Summary Statistics of Data Frame in R – Descriptive Stats Tutorial (2 Examples)

In this article, I’ll explain how to get descriptive statistics for the columns of a data frame in the R programming language.

## Example Data

 data(iris) # Example data 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

## Example 1: Get Summary Statistics Table for Data Frame

 summary(iris) # Computing a summary statistics table # 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 # # #

## Example 2: Get Summary Statistics by Group

 aggregate(Sepal.Length ~ Species, # Computing the mean by group iris, mean) # Species Sepal.Length # 1 setosa 5.006 # 2 versicolor 5.936 # 3 virginica 6.588

## Further Resources

Have a look at the following list of R programming language tutorials. They focus on topics such as variables and groups: