if analysis_type == "numeric_mean":

    numeric_result = {}

    for col in available_target_columns:

        series = pd.to_numeric(filtered_df[col], errors="coerce")
        valid_count = int(series.notna().sum())

        numeric_result[col] = {
            "mean": float(series.mean()) if valid_count > 0 else None,
            "valid_count": valid_count
        }

    result["result"] = numeric_result