Data Exploration: Monthly Revenue Analysis
Explore techniques to analyze monthly revenue and transaction data from an online retail dataset. Learn data processing and visualization methods to support Customer Lifetime Value prediction using machine learning.
We'll cover the following...
We'll cover the following...
In this lesson, we’ll work with an online Compact Disk (CD) selling dataset that contains customer transaction records. Later, we’ll learn the techniques to calculate CLV using machine learning.
Here is some basic information about the dataset.
Feature Details
Feature | Data Type | Details |
customer_id | Integer | Unique identifier of a customer |
date | String | Date and time of the transaction |
quantity | String | Quantity sold in a transaction |
price | Integer | Total sale amount |