Exploratory Data Analysis

Get familiar with EDA, statistical properties, and visualizing underlying data relationships.

In this lesson, we’ll perform our EDA on a recency, frequency, and monetary (RFM) value dataset. These are three key metrics used to analyze customer behavior and segment customers based on their purchasing patterns. The RFM dataset is a collection of customer data and their purchasing history commonly used in marketing and retail analytics.

Import libraries and load data

We’re going to import the necessary libraries (pandas, NumPy, and Matplotlib) to help us get familiar with the data. The dataset is preloaded in the course content, and we’ll use it throughout the course.

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