We just learned a few ways in which we can create dataframes from various sources, but we still don't know what to do with them or how we should start our analysis. The first thing we should do when we read in our data is inspect it; we want to make sure that our dataframe isn't empty and that the rows look as we would expect. Our main goal is to verify that it was read in properly and that all of the data is there; however, this initial inspection will also give us ideas on where to direct our data wrangling efforts. In this section, we will explore ways in which we can inspect our dataframes in the 4-inspecting_dataframes.ipynb notebook.
Since this is a new notebook, we once again must handle our setup. This time, we need to import pandas and numpy, as well as read in the CSV file with the earthquake data:
>>> import numpy as...
