Exercise

# Describe time series data with boxplots

You should always explore the distribution of the variables, and because you are working with time series, you will explore their properties using boxplots and numerical summaries. As a reminder, you can plot data in a DataFrame as boxplots with the command:

```
df.boxplot(fontsize=6, vert=False)
```

Notice the introduction of the new parameter `vert`

, which specifies whether to plot the boxplots horizontally or vertically.

Instructions

**100 XP**

- Generate a boxplot of all the time series in
`jobs`

. - Print out a numerical statistical summary of all the time series in
`jobs`

. - Review the resuts and print the name of the time series with the highest mean value and with the most variability (i.e. with the highest standard deviation).