diff --git a/clustering-customer-personality-analysis(1).ipynb b/clustering-customer-personality-analysis(1).ipynb
index 98a447f..32e0c1b 100644
--- a/clustering-customer-personality-analysis(1).ipynb
+++ b/clustering-customer-personality-analysis(1).ipynb
@@ -2,80 +2,10 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "b9181d5d",
-   "metadata": {
-    "papermill": {
-     "duration": 0.022276,
-     "end_time": "2022-08-28T13:50:03.958617",
-     "exception": false,
-     "start_time": "2022-08-28T13:50:03.936341",
-     "status": "completed"
-    },
-    "tags": []
-   },
+   "id": "1da8b92c",
+   "metadata": {},
    "source": [
-    "# Section of the Notebook"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "72dd993b",
-   "metadata": {
-    "papermill": {
-     "duration": 0.021173,
-     "end_time": "2022-08-28T13:50:04.002367",
-     "exception": false,
-     "start_time": "2022-08-28T13:50:03.981194",
-     "status": "completed"
-    },
-    "tags": []
-   },
-   "source": [
-    "1) **Choice of Metrics**  \n",
-    "2) **Library import & Dataset**  \n",
-    "3.1) **Feature generation**  \n",
-    "3.2) **Data cleaning**              \n",
-    "3.3) **Data scaling (Normalization | Standardization)**  \n",
-    "4) **Dimensionality reduction**  \n",
-    "5) **Clustering**  \n",
-    "6) **Business Recommendations**  "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "25ec315a",
-   "metadata": {
-    "papermill": {
-     "duration": 0.021734,
-     "end_time": "2022-08-28T13:50:04.045639",
-     "exception": false,
-     "start_time": "2022-08-28T13:50:04.023905",
-     "status": "completed"
-    },
-    "tags": []
-   },
-   "source": [
-    "## Selection of Metrics"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "99948a3c",
-   "metadata": {
-    "papermill": {
-     "duration": 0.021363,
-     "end_time": "2022-08-28T13:50:04.088385",
-     "exception": false,
-     "start_time": "2022-08-28T13:50:04.067022",
-     "status": "completed"
-    },
-    "tags": []
-   },
-   "source": [
-    "There are various metrics for clustering, for example:\n",
-    "* Silhouette coefficient  \n",
-    "* Calinski-Harabasz Index \n",
-    "* Davies-Bouldin Index"
+    "# Performing Psychographic Segmentation Based on Customer Behaviour"
    ]
   },
   {
@@ -1589,7 +1519,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "dd44db07",
+   "id": "2d151e22",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2257,7 +2187,7 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "id": "55e547b9",
+   "id": "592dfdb1",
    "metadata": {},
    "outputs": [
     {
@@ -2469,23 +2399,6 @@
     "graph_builder()"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "bae4e70e",
-   "metadata": {
-    "papermill": {
-     "duration": 0.068264,
-     "end_time": "2022-08-28T13:52:44.191676",
-     "exception": false,
-     "start_time": "2022-08-28T13:52:44.123412",
-     "status": "completed"
-    },
-    "tags": []
-   },
-   "source": [
-    "## 6) Business Recommendations"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "3804fd18",