I'm using german credit data which contains 7 numerical and 13 categorical variables for classifying as good or bad applicant. By taking only 2 numerical independent variables, I can visualize them by using any classification model. However, I need to know about how to use these multiple independent variables in a classification model for visualization? plz..
You need to create these plots for bad and for good applicants:
1) boxplots and dotplots for numeric variables
2) barcharts for categorical variables
This will allow a visual comparison of the distribution of variables within each group of applicants.
P.S. Here's an example of Microsoft implementation for your task:
https://www.sqlshack.com/microsoft-clustering-in-sql-server/
And if you want to use the solution based on dotplots (I described earlier), you can use this poster for choosing colors and markers:
Poster A Visual Framework for Longitudinal and Panel Studies (with ...
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