Upload 2 files

utils.py

@@ -167,25 +167,51 @@ def calculer_benford_stats_et_graphique(data_a_tester, colonne_nom, N, html_outp
         html_output += "</div>"
     
     # Interprétation MAD compacte
-    html_output += "<h3>📈 Qualité (MAD)</h3>"
-    
+    # html_output += "<h3>📈 Qualité (MAD)</h3>"
+    
+    # if mad_value < 0.006:
+    #     badge_style = "background: linear-gradient(135deg, #10b981, #059669); color: white;"
+    #     mad_text = "EXCELLENTE"
+    # elif mad_value < 0.012:
+    #     badge_style = "background: linear-gradient(135deg, #22c55e, #16a34a); color: white;"
+    #     mad_text = "ACCEPTABLE"
+    # elif mad_value < 0.015:
+    #     badge_style = "background: linear-gradient(135deg, #f59e0b, #d97706); color: white;"
+    #     mad_text = "MARGINALE"
+    # elif mad_value < 0.020:
+    #     badge_style = "background: linear-gradient(135deg, #f97316, #ea580c); color: white;"
+    #     mad_text = "MODÉRÉE"
+    # else:
+    #     badge_style = "background: linear-gradient(135deg, #ef4444, #dc2626); color: white;"
+    #     mad_text = "FORTE"
+    
+    # html_output += f"<span class='mad-badge' style='{badge_style}'>{mad_text}</span>"
+
+
+    html_output += "<h3>🎯 Conformité MAD (Écart Absolu Moyen)</h3>"
+    html_output += "<p style='font-size: 0.9em; color: #555;'>Le MAD mesure l'écart moyen entre les fréquences observées et les fréquences théoriques de Benford. Plus le MAD est **petit**, plus la conformité est **forte**.</p>"
+
+    # Mise à jour des libellés pour indiquer la CONFORMITÉ (Inversé par rapport à la déviation)
     if mad_value < 0.006:
         badge_style = "background: linear-gradient(135deg, #10b981, #059669); color: white;"
-        mad_text = "EXCELLENTE"
+        mad_text = "EXCELLENTE CONFORMITÉ"
     elif mad_value < 0.012:
         badge_style = "background: linear-gradient(135deg, #22c55e, #16a34a); color: white;"
-        mad_text = "ACCEPTABLE"
+        mad_text = "BONNE CONFORMITÉ"
     elif mad_value < 0.015:
         badge_style = "background: linear-gradient(135deg, #f59e0b, #d97706); color: white;"
-        mad_text = "MARGINALE"
+        mad_text = "CONFORMITÉ MARGINALE"
     elif mad_value < 0.020:
         badge_style = "background: linear-gradient(135deg, #f97316, #ea580c); color: white;"
-        mad_text = "MODÉRÉE"
+        mad_text = "FAIBLE CONFORMITÉ"
     else:
+        # Si le MAD est ≥ 0.020, la déviation est forte, donc la conformité est très faible/absente.
         badge_style = "background: linear-gradient(135deg, #ef4444, #dc2626); color: white;"
-        mad_text = "FORTE"
-    
-    html_output += f"<span class='mad-badge' style='{badge_style}'>{mad_text}</span>"
+        mad_text = "TRÈS FAIBLE CONFORMITÉ"
+
+    html_output += f"<div style='margin-top: 10px; font-size: 1.1em; font-weight: bold; padding: 10px; text-align: center; {badge_style}'>"
+    html_output += mad_text
+    html_output += "</div>"
     
     # Guide ultra-compact
     #html_output += "<div style='background: #f9fafb; padding: 10px; border-radius: 6px; margin-top: 10px; font-size: 12px;'>"