## With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

No credit card required

# Histograms and bar plots

Roulette is a fascinating example of a betting game using random outcomes. In order to explore some properties of roulette spins, let's visualize some randomly drawn numbers in the range of those in an European roulette game (0 to 36). Histograms allow the graphic representation of the distribution of variables. Let's have a look at it! Type in the following code:

```1  set.seed(1)
2  drawn = sample(0:36, 100, replace = T)
3  hist(drawn, main = "Frequency of numbers drawn",
4     xlab = "Numbers drawn", breaks=37)```

Here we first set the seed number to `1` (see line 1). For reproducibility reasons, computer generated random numbers are generally not really random (they are in fact called pseudo-random). Exceptions exist, such as numbers ...

## With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

No credit card required