Check the head of the DataFrame

1. How many rows and columns are there?
2. What is the average Purchase Price?
3. What were the highest and lowest purchase prices?

1. How many people have English 'en' as their Language of choice on the website?
2. How many people have the job title of "Lawyer" ?

1. How many people made the purchase during the AM and how many people made the purchase during PM ?
2. What are the 5 most common Job Titles?
3. Someone made a purchase that came from Lot: "90 WT" , what was the Purchase Price for this transaction?
4. What is the email of the person with the following Credit Card Number: 4926535242672853

1. How many people have American Express as their Credit Card Provider and made a purchase above $95 ?
2. Hard: How many people have a credit card that expires in 2025?

Hard: What are the top 5 most popular email providers/hosts (e.g. gmail.com, yahoo.com, etc...)