  This paper explores the application of Exploratory Data Analytics (EDA) in
the banking and finance domain, focusing on credit card usage and customer
churning. It presents a step-by-step analysis using EDA techniques such as
descriptive statistics, data visualization, and correlation analysis. The study
examines transaction patterns, credit limits, and usage across merchant
categories, providing insights into consumer behavior. It also considers
demographic factors like age, gender, and income on usage patterns.
Additionally, the report addresses customer churning, analyzing churn rates and
factors such as demographics, transaction history, and satisfaction levels.
These insights help banking professionals make data-driven decisions, improve
marketing strategies, and enhance customer retention, ultimately contributing
to profitability.
