Credit Card Fraud Detection (kaggle.com)

Credit_Risk_Analysis (kaggle.com)

use these two datasets

Before choosing any analytical approaches, you will always observe your datasets and attempt to identify interesting patterns with visualizations. Such observations are based on the data summary in Milestone 2, but you will go one step further. For example, you can select interesting attributes in your datasets and plot histograms to show their distributions. You can also use plot bar/line charts, graphs, heat maps, tree maps, geo-spatial maps, word clouds, etc., as appropriate. 2 For each dataset, you are required at least 2 visualizations, describe the patterns in the visualizations, and discuss why the patterns you have identified are interesting in the context of CTI. All visualizations must be professional, clear, and descriptive.