diff --git a/0_2_Dataset_construction.py b/0_2_Dataset_construction.py
index a27b08b..1561efa 100644
--- a/0_2_Dataset_construction.py
+++ b/0_2_Dataset_construction.py
@@ -63,7 +63,7 @@ def df_coverage_modelization(sport, coverage_train = 0.7):
 def dataset_construction(min_date, end_features_date, max_date, directory_path):
     
     # Import customerplus
-    df_customerplus_clean = display_databases(directory_path, file_name = "customerplus_cleaned")
+    df_customerplus_clean_0 = display_databases(directory_path, file_name = "customerplus_cleaned")
     df_campaigns_information = display_databases(directory_path, file_name = "campaigns_information", datetime_col = ['opened_at', 'sent_at', 'campaign_sent_at'])
     df_products_purchased_reduced = display_databases(directory_path, file_name = "products_purchased_reduced", datetime_col = ['purchase_date'])
     
@@ -89,20 +89,9 @@ def dataset_construction(min_date, end_features_date, max_date, directory_path):
     # KPI sur le comportement d'achat
     df_tickets_kpi = tickets_kpi_function(tickets_information = df_products_purchased_reduced)
 
-    # KPI sur les données socio-demographique    
-
-    ## Le genre
-    df_customerplus_clean["gender_label"] = df_customerplus_clean["gender"].map({
-        0: 'female',
-        1: 'male',
-        2: 'other'
-    })
-    gender_dummies = pd.get_dummies(df_customerplus_clean["gender_label"], prefix='gender').astype(int)
-    df_customerplus_clean = pd.concat([df_customerplus_clean, gender_dummies], axis=1)
-
-    ## Indicatrice si individue vit en France
-    df_customerplus_clean["country_fr"] = df_customerplus_clean["country"].apply(lambda x : int(x=="fr") if pd.notna(x) else np.nan)
-
+    # KPI sur les données socio-démographiques
+    df_customerplus_clean = customerplus_kpi_function(customerplus_clean = df_customerplus_clean_0)
+    
     print("KPIs construction : SUCCESS")
     
     # Fusion avec KPI liés au customer
diff --git a/0_KPI_functions.py b/0_KPI_functions.py
index 6d0fcbb..fcdcbc6 100644
--- a/0_KPI_functions.py
+++ b/0_KPI_functions.py
@@ -93,5 +93,22 @@ def tickets_kpi_function(tickets_information = None):
 
     return tickets_kpi
 
+def customerplus_kpi_function(customerplus_clean = None):
+    # KPI sur les données socio-demographique    
+    ## Le genre
+    customerplus_clean["gender_label"] = customerplus_clean["gender"].map({
+        0: 'female',
+        1: 'male',
+        2: 'other'
+    })
+    gender_dummies = pd.get_dummies(customerplus_clean["gender_label"], prefix='gender').astype(int)
+    customerplus_clean = pd.concat([customerplus_clean, gender_dummies], axis=1)
 
+    ## Indicatrice si individue vit en France
+    customerplus_clean["country_fr"] = customerplus_clean["country"].apply(lambda x : int(x=="fr") if pd.notna(x) else np.nan)
+
+    # Dummy if the customer has a structure id (tags)
+    customerplus_clean['has_tags'] = customerplus_clean['structure_id'].apply(lambda x: 1 if not pd.isna(x) else 0)
+
+    return customerplus_clean
     
\ No newline at end of file
diff --git a/1_Descriptive_Statistics.ipynb b/1_Descriptive_Statistics.ipynb
index 24194cb..5c4d9eb 100644
--- a/1_Descriptive_Statistics.ipynb
+++ b/1_Descriptive_Statistics.ipynb
@@ -602,7 +602,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "id": "06137694-7f50-47ba-8749-68471ececc1e",
    "metadata": {},
    "outputs": [
@@ -610,9 +610,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_2168/3643128924.py:11: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
+      "/tmp/ipykernel_1235/3643128924.py:11: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
       "  purchases = pd.read_csv(file_in, sep=\",\", parse_dates = ['purchase_date'], date_parser=custom_date_parser)\n",
-      "/tmp/ipykernel_2168/3643128924.py:19: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
+      "/tmp/ipykernel_1235/3643128924.py:19: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
       "  campaigns = pd.read_csv(file_in, sep=\",\", parse_dates = ['sent_at'], date_parser=custom_date_parser)\n"
      ]
     }
@@ -641,7 +641,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "id": "e6b962d4-1a30-4133-ac0f-359f7afef42c",
    "metadata": {},
    "outputs": [],
@@ -668,7 +668,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 5,
    "id": "9c56e5ac-cbf4-4343-80ba-be2ab8b60eab",
    "metadata": {},
    "outputs": [],
@@ -689,13 +689,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 8,
    "id": "8c1aed44-03d3-49f9-b96c-b06a0df03dde",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -708,7 +708,7 @@
     "# Graphique en nombre de commande\n",
     "purchases_graph = nb_purchases_graph\n",
     "\n",
-    "purchases_graph_used = purchases_graph[purchases_graph[\"purchase_date_month\"] >= datetime(2021,4,1)]\n",
+    "purchases_graph_used = purchases_graph[purchases_graph[\"purchase_date_month\"] >= datetime(2021,3,1)]\n",
     "purchases_graph_used_0 = purchases_graph_used[purchases_graph_used[\"is_customer_known\"]==False]\n",
     "purchases_graph_used_1 = purchases_graph_used[purchases_graph_used[\"is_customer_known\"]==True]\n",
     "\n",
@@ -726,7 +726,7 @@
     "# Ajout de titres et d'étiquettes\n",
     "plt.xlabel('Mois')\n",
     "plt.ylabel(\"Nombre d'achats\")\n",
-    "plt.title(\"Nombre d'achats au cours de l'année 2023 pour l'offre 'muséale groupe'\")\n",
+    "plt.title(\"Nombre d'achats - MUCEM\")\n",
     "plt.legend()\n",
     "\n",
     "# Affichage du barplot\n",