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Descriptive Data Analysis of Credit Card Transactions

Neha Shivkumar Gamanagatti1, Vaishnavi R2, Manohar R 3

1,2BE Information Science Students,3Assistant Professor

Department Information science and engineering, Sir M Visvesvaraya Institute of University

Abstract— In the previous decades there was a lot of usage of cash and that was the only way in which people could buy and sell things then came the system of Bank Accounts , Debit Cards and Credit Cards and people got adapted to this new system in this paper we will analyze what difference did  the Credit Cards bring in the lives of people and how the usage of credit cards is in different parts of India we will analyze the data to understand the customer spending patterns for promotional campaigns, such as during festivals or holidays, in order to better target customer segments according to city and gender-based spending habits. Analyzes consumer trends and interests by looking at the type of purchases people make based on their gender and city. Detects potential credit card fraud or malicious activity, such as by analysing changes in spending habits or unusual purchases, by city and gender. Allows you to identify the top merchants based on the number of transactions and the value of the transactions

Keywords— Data Analysis, Spending patterns, Credit Card Transactions, Supervised Machine Learning ,Consumer behaviour.