Use the following code to generate the dataset: python import numpy as np import ... "amount": np.random.randint(10, 100, size=100) df.head() Extracting Data by Year, Month, and Quarter To extract ...

When the vendors issued statements on Tuesday that their customers were hit, they stressed that it was a third-party that was ...