P1 regression EDA crashes on skew/kurtosis if nan present in outcome_label mixed-type outcomes (e.g. NaN etc.) #9

P1 regression EDA crashes on skew/kurtosis if nan present in outcome_label mixed-type outcomes

Problem:

Phase 1 could crash during initial EDA for regression/continuous outcomes when the outcome column contained mixed types, missing values, infinities, or non-numeric strings.

TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule "safe"

Cause:

scipy.stats.skew() and scipy.stats.kurtosis() were being called directly on the outcome column. When the column had object/mixed dtype, SciPy’s NaN handling could fail before the values were safely converted to numeric form.

Fix:

The regression EDA skew/kurtosis calculation now cleans the outcome values before calling SciPy. It coerces the outcome column to numeric, replaces infinities with missing values, drops missing/non-numeric values, and computes skewness/kurtosis only when valid numeric values remain. If no numeric values remain, STREAMLINE logs that skewness/kurtosis are unavailable.

Result:

P1 now continues gracefully for regression datasets with mixed-type outcome columns instead of crashing during initial EDA.