Q1 Data Exploration (9 points) Use the dataset “fraud_detection” for this question. a.(3 points) What is the overall proportion of fraudulent vs. non-fraudulent transactions? Is the dataset imbalanced? b. (3 points) Compare the percentage of fraud cases with respect to the type of device used for transaction? Use also a visual approach to compare the percentage values. Which devices are more vulnerable? c. (3 points) If we group transactions by Transaction_Hour, can we identify fraud-prone time windows? Also use a visual apporach for your analysis.
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