Explanation of Column Names in the Bank Customers Dataset

• CLIENTNUM: A unique identifier for each customer.
• Attrition_Flag: Indicates whether the customer has churned (closed their account) or not.
• Customer_Age: The age of the customer.
• Gender: The gender of the customer.
• Dependent_count: The number of dependents the customer has.
• Education_Level: The highest level of education attained by the customer.
• Marital_Status: The marital status of the customer.
• Income_Category: The income bracket of the customer.
• Card_Category: The type of credit card the customer holds.
• Months_on_book: The number of months the customer has been with the bank.
• Total_Relationship_Count: The total number of products the customer has with the bank.
• Months_Inactive_12_mon: The number of months in the last 12 months the customer has been inactive.
• Contacts_Count_12_mon: The number of contacts the customer has made with the bank in the last 12 months.
• Credit_Limit: The credit limit of the customer’s credit card.
• Total_Revolving_Bal: The total balance revolving on the customer’s credit card.
• Avg_Open_To_Buy: The average amount available to spend.
• Total_Amt_Chng_Q4_Q1: The change in total transaction amount from Q4 to Q1.
• Total_Trans_Amt: The total transaction amount over a period (usually a year).
• Total_Trans_Ct: The total number of transactions over a period (usually a year).
• Total_Ct_Chng_Q4_Q1: The change in total transaction count from Q4 to Q1.
• Avg_Utilization_Ratio: The average utilization ratio of the customer’s credit card.