diff --git a/load_dataset.py b/load_dataset.py
index 8913595..bc9acc0 100644
--- a/load_dataset.py
+++ b/load_dataset.py
@@ -48,7 +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", f"Normal  (p={p:.4f})",
+                var, "Continua", f"Normal  (p={p:.7f})",
                 f"Media: {mean1:.2f} ({glabel[group1]}), {mean2:.2f} ({glabel[group2]})",
                 f"Desviación Est.: {std1:.2f} ({glabel[group1]}), {std2:.2f} ({glabel[group2]})",
                 f"Test t: p={t_pval:.3f}"
@@ -59,7 +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", f"No Normal (p={p:.4f})",
+                var, "Continua", f"No Normal (p={p:.7f})",
                 f"Mediana: {median1:.2f} ({glabel[group1]}), {median2:.2f} ({glabel[group2]})",
                 f"RIC: {iqr1:.2f} ({glabel[group1]}), {iqr2:.2f} ({glabel[group2]})",
                 f"Mann-Whitney: p={mw_pval:.3f}"