DataFile for this project is downloaded from here, and it has 8 attributes:

https://archive.ics.uci.edu/ml/machine-learning-databases/00352/

Attribute Information:

-InvoiceNo: Invoice number. Nominal, a 6-digit integral number uniquely assigned to each transaction. If this code starts with letter 'c', it indicates a cancellation.

-StockCode: Product (item) code. Nominal, a 5-digit integral number uniquely assigned to each distinct product.

-Description: Product (item) name. Nominal.

-Quantity: The quantities of each product (item) per transaction. Numeric.

-InvoiceDate: Invice Date and time. Numeric, the day and time when each transaction was generated.

-UnitPrice: Unit price. Numeric, Product price per unit in sterling.

-CustomerID: Customer number. Nominal, a 5-digit integral number uniquely assigned to each customer.

-Country: Country name. Nominal, the name of the country where each customer resides.:

I wrote a series of functions using Python and Pandas that I used to extract certain data from this database.