In your Jupyter Notebook, go ahead and display summary statistics for your liquidity data. The data frame contains 802 observations. For each observation, you're given the target variable and seven input features. Don't worry, this dataset has already been scrubbed, so you don't need to worry about correcting any errors.

To do that, I'm going to call the describe function, and when I execute that cell, I'll get my summary statistics right here.