diff --git a/load_dataset.py b/load_dataset.py
index 2e43808..ba9521f 100644
--- a/load_dataset.py
+++ b/load_dataset.py
@@ -25,6 +25,7 @@ def analisis_univariado(dfi, target=None, continuas=[], discretas=[]):
     if len(groups) != 2:
         raise ValueError("Target variable must have exactly two unique values")
 
+    print (f"groups: {groups}")
     group1, group2 = groups
     data_group1 = dfi[dfi[target] == group1][label_columns]
     data_group2 = dfi[dfi[target] == group2][label_columns]
@@ -47,7 +48,7 @@ def analisis_univariado(dfi, target=None, continuas=[], discretas=[]):
             mean2, std2 = group2_values.mean(), group2_values.std()
             t_stat, t_pval = ttest_ind(group1_values, group2_values, equal_var=False)
             results.append([
-                var, "Continua", "Normal",
+                var, "Continua", f"Normal  (p={p:.4f})",
                 f"Media: {mean1:.2f} (Grupo 1), {mean2:.2f} (Grupo 2)",
                 f"Desviación Est.: {std1:.2f} (Grupo 1), {std2:.2f} (Grupo 2)",
                 f"Test t: p={t_pval:.3f}"
@@ -58,7 +59,7 @@ def analisis_univariado(dfi, target=None, continuas=[], discretas=[]):
             median2, iqr2 = group2_values.median(), group2_values.quantile(0.75) - group2_values.quantile(0.25)
             mw_stat, mw_pval = mannwhitneyu(group1_values, group2_values)
             results.append([
-                var, "Continua", "No Normal",
+                var, "Continua", f"No Normal (p={p:.4f})",
                 f"Mediana: {median1:.2f} (Grupo 1), {median2:.2f} (Grupo 2)",
                 f"RIC: {iqr1:.2f} (Grupo 1), {iqr2:.2f} (Grupo 2)",
                 f"Mann-Whitney: p={mw_pval:.3f}"
@@ -73,7 +74,7 @@ def analisis_univariado(dfi, target=None, continuas=[], discretas=[]):
         if freq_table.shape[1] == 2:
             # Test exacto de Fisher
             _, fisher_pval = fisher_exact(freq_table.values)
-            test_result = f"Fisher Exact: p={fisher_pval:.3f}"
+            test_result = f"Fisher Exact: p={fisher_pval:.5f}"
         else:
             # Test Chi cuadrado
             chi2_stat, chi2_pval, _, _ = chi2_contingency(freq_table)