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# R boxplot() Function - Drawing Box Plots [ R Language Examples](https://example.com/r/r-examples.html) The R boxplot() function is used to draw box plots, displaying the distribution characteristics and outliers of data. A box plot displays the five-number summary of the data (minimum, Q1, median, Q3, maximum) as well as outliers. The syntax format for the boxplot() function is as follows: boxplot(x, horizontal = FALSE, col = NULL, main = "", xlab = "", ylab = "") **Parameter Description:** * **x** Numeric vector or formula (e.g., numeric ~ group). ## Example # Score data for multiple classes class_a <-c(78, 82, 85, 88, 90, 75, 80, 86, 92, 84) class_b <-c(72, 75, 78, 76, 80, 70, 74, 77, 79, 73) class_c <-c(85, 88, 90, 92, 95, 80, 87, 89, 91, 86) # Draw box plot boxplot(class_a, class_b, class_c, names=c("Class A", "Class B", "Class C"), main ="Score Distribution Comparison by Class", xlab ="Class", ylab ="Score", col=c("skyblue", "lightgreen", "coral")) Executing the above code will display a box plot comparison of scores for the three classes. The boxplot() function is more friendly to grouped data using the formula form: ## Example # Using formula form scores <-c(class_a, class_b, class_c) groups <-rep(c("Class A", "Class B", "Class C"), each =10) boxplot(scores ~ groups,