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TDerig23
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Oct 14, 2022
| predictors_type = {"continuous": [], "categorical": []} | ||
| continuous = df.select_dtypes(include=["float"]) | ||
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| for i in predictors: |
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Bita your code logic is good. I think what you need to do now write a function so that professor can input any dataset into it, and then the function can call your logic so that it can separate out the categorical and continuous columns and then run them from those functions that the professor previously made on the graphs.
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also remove the n = 200 from your code as well from the functions that make the graphs. They don't mean anything.
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