Visualizing messy data

Let's take a look at a new dataset - this one is a bit less-clean than what you've seen before.

As always, you'll first start by visualizing the raw data. Take a close look and try to find datapoints that could be problematic for fitting models.

The data has been loaded into a DataFrame called prices.

100 XP

Visualize the time series data using Pandas.
Calculate the number of missing values in each time series. Note any irregularities that you can see. What do you think they are?