Chapter 14: Techniques for Detecting Fraud: Fraud Detection using Peer-Group Analysis

account_summary.csv, consists of transactional data across various accounts. The goal is to conduct a peer-group analysis to detect anomalies that may signify fraudulent transactions. You will focus on calculating statistical measures, such as the average transaction amount and standard deviation, and then use these to compute a 'distance' metric for each transaction. Transactions with a 'distance' exceeding a predetermined threshold will be flagged as potential fraud.