How old do users look?

Let's revisit the age variable with a to compare the age distribution with the histogram from the previous exercise.

For hours since last login, recall that the mode and 2nd quartile were similar, yet the other descriptive statistics were much larger. In contrast, the age variable's descriptive stats are closer together. How do you think this will change the way a histogram of age will look?

As a business analyst with a strong foundation in statistics, you know the age data should look more "normal". A normal distribution will have a symmetric and "bell-shaped" silouette. There shouldn't be outliers or a skew like you saw in the last exercise. Let's check it out.