customer_segment.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from tqdm import tqdm\n",
    "from src.hiveconnect import hiveapp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Education\\Uni\\BigData\\Final_Project\\Data-Mining-with-ApacheHive\\src\\hiveconnect\\hiveapp.py:182: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n",
      "  df = pd.read_sql(sqlstr, connection)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " converting the rows_data into python list of tuples \n",
      "\n",
      "converted suscessfully the rows_data into python list of tuples\n"
     ]
    }
   ],
   "source": [
    "# data = hiveapp.ExtractRows('select * from fact_segment','buidu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 16044/16044 [00:40<00:00, 395.66it/s]\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame(columns=['customer_id','city','country','active','full_name','rental_id','amount',\n",
    "                           'rental_date','first_date','recency','monetary','frequency'])\n",
    "\n",
    "for tup in tqdm(data):\n",
    "    df.loc[len(df)] = list(tup)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>city</th>\n",
       "      <th>country</th>\n",
       "      <th>active</th>\n",
       "      <th>full_name</th>\n",
       "      <th>rental_id</th>\n",
       "      <th>amount</th>\n",
       "      <th>rental_date</th>\n",
       "      <th>first_date</th>\n",
       "      <th>recency</th>\n",
       "      <th>monetary</th>\n",
       "      <th>frequency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>448</td>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1</td>\n",
       "      <td>MIGUEL BETANCOURT</td>\n",
       "      <td>13250</td>\n",
       "      <td>3.99</td>\n",
       "      <td>2005-08-19</td>\n",
       "      <td>2005-05-26</td>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448</td>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1</td>\n",
       "      <td>MIGUEL BETANCOURT</td>\n",
       "      <td>15358</td>\n",
       "      <td>9.99</td>\n",
       "      <td>2005-08-22</td>\n",
       "      <td>2005-05-26</td>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>448</td>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1</td>\n",
       "      <td>MIGUEL BETANCOURT</td>\n",
       "      <td>3992</td>\n",
       "      <td>6.99</td>\n",
       "      <td>2005-07-06</td>\n",
       "      <td>2005-05-26</td>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>448</td>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1</td>\n",
       "      <td>MIGUEL BETANCOURT</td>\n",
       "      <td>14711</td>\n",
       "      <td>2.99</td>\n",
       "      <td>2005-08-21</td>\n",
       "      <td>2005-05-26</td>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>448</td>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1</td>\n",
       "      <td>MIGUEL BETANCOURT</td>\n",
       "      <td>3347</td>\n",
       "      <td>5.99</td>\n",
       "      <td>2005-06-21</td>\n",
       "      <td>2005-05-26</td>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customer_id      city  country  active          full_name  rental_id  \\\n",
       "0          448  Erlangen  Germany       1  MIGUEL BETANCOURT      13250   \n",
       "1          448  Erlangen  Germany       1  MIGUEL BETANCOURT      15358   \n",
       "2          448  Erlangen  Germany       1  MIGUEL BETANCOURT       3992   \n",
       "3          448  Erlangen  Germany       1  MIGUEL BETANCOURT      14711   \n",
       "4          448  Erlangen  Germany       1  MIGUEL BETANCOURT       3347   \n",
       "\n",
       "   amount rental_date  first_date  recency   monetary  frequency  \n",
       "0    3.99  2005-08-19  2005-05-26      264  135.70999         29  \n",
       "1    9.99  2005-08-22  2005-05-26      264  135.70999         29  \n",
       "2    6.99  2005-07-06  2005-05-26      264  135.70999         29  \n",
       "3    2.99  2005-08-21  2005-05-26      264  135.70999         29  \n",
       "4    5.99  2005-06-21  2005-05-26      264  135.70999         29  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fact_segment = df.copy()\n",
    "fact_segment.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>city</th>\n",
       "      <th>country</th>\n",
       "      <th>active</th>\n",
       "      <th>full_name</th>\n",
       "      <th>rental_id</th>\n",
       "      <th>amount</th>\n",
       "      <th>rental_date</th>\n",
       "      <th>first_date</th>\n",
       "      <th>recency</th>\n",
       "      <th>monetary</th>\n",
       "      <th>frequency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>448</td>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1</td>\n",
       "      <td>MIGUEL BETANCOURT</td>\n",
       "      <td>13250</td>\n",
       "      <td>3.99</td>\n",
       "      <td>2005-08-19</td>\n",
       "      <td>2005-05-26</td>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448</td>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1</td>\n",
       "      <td>MIGUEL BETANCOURT</td>\n",
       "      <td>15358</td>\n",
       "      <td>9.99</td>\n",
       "      <td>2005-08-22</td>\n",
       "      <td>2005-05-26</td>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>448</td>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1</td>\n",
       "      <td>MIGUEL BETANCOURT</td>\n",
       "      <td>3992</td>\n",
       "      <td>6.99</td>\n",
       "      <td>2005-07-06</td>\n",
       "      <td>2005-05-26</td>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>448</td>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1</td>\n",
       "      <td>MIGUEL BETANCOURT</td>\n",
       "      <td>14711</td>\n",
       "      <td>2.99</td>\n",
       "      <td>2005-08-21</td>\n",
       "      <td>2005-05-26</td>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>448</td>\n",
       "      <td>Erlangen</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1</td>\n",
       "      <td>MIGUEL BETANCOURT</td>\n",
       "      <td>3347</td>\n",
       "      <td>5.99</td>\n",
       "      <td>2005-06-21</td>\n",
       "      <td>2005-05-26</td>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customer_id      city  country  active          full_name  rental_id  \\\n",
       "0          448  Erlangen  Germany       1  MIGUEL BETANCOURT      13250   \n",
       "1          448  Erlangen  Germany       1  MIGUEL BETANCOURT      15358   \n",
       "2          448  Erlangen  Germany       1  MIGUEL BETANCOURT       3992   \n",
       "3          448  Erlangen  Germany       1  MIGUEL BETANCOURT      14711   \n",
       "4          448  Erlangen  Germany       1  MIGUEL BETANCOURT       3347   \n",
       "\n",
       "   amount rental_date  first_date  recency   monetary  frequency  \n",
       "0    3.99  2005-08-19  2005-05-26      264  135.70999         29  \n",
       "1    9.99  2005-08-22  2005-05-26      264  135.70999         29  \n",
       "2    6.99  2005-07-06  2005-05-26      264  135.70999         29  \n",
       "3    2.99  2005-08-21  2005-05-26      264  135.70999         29  \n",
       "4    5.99  2005-06-21  2005-05-26      264  135.70999         29  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fact_segment.to_csv('./data/tables/factSegment.csv', index=False)\n",
    "\n",
    "fact_segment = pd.read_csv('./data/tables/factSegment.csv')\n",
    "fact_segment.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Khám phá dữ liệu được tổng hợp**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 16044 entries, 0 to 16043\n",
      "Data columns (total 12 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   customer_id  16044 non-null  int64  \n",
      " 1   city         16044 non-null  object \n",
      " 2   country      16044 non-null  object \n",
      " 3   active       16044 non-null  int64  \n",
      " 4   full_name    16044 non-null  object \n",
      " 5   rental_id    16044 non-null  int64  \n",
      " 6   amount       16044 non-null  float64\n",
      " 7   rental_date  16044 non-null  object \n",
      " 8   first_date   16044 non-null  object \n",
      " 9   recency      16044 non-null  int64  \n",
      " 10  monetary     16044 non-null  float64\n",
      " 11  frequency    16044 non-null  int64  \n",
      "dtypes: float64(2), int64(5), object(5)\n",
      "memory usage: 1.5+ MB\n"
     ]
    }
   ],
   "source": [
    "fact_segment.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fact_segment.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "customer_id    0\n",
       "city           0\n",
       "country        0\n",
       "active         0\n",
       "full_name      0\n",
       "rental_id      0\n",
       "amount         0\n",
       "rental_date    0\n",
       "first_date     0\n",
       "recency        0\n",
       "monetary       0\n",
       "frequency      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fact_segment.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 16044 entries, 0 to 16043\n",
      "Data columns (total 12 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   customer_id  16044 non-null  int64  \n",
      " 1   city         16044 non-null  object \n",
      " 2   country      16044 non-null  object \n",
      " 3   active       16044 non-null  int64  \n",
      " 4   full_name    16044 non-null  object \n",
      " 5   rental_id    16044 non-null  int64  \n",
      " 6   amount       16044 non-null  float64\n",
      " 7   rental_date  16044 non-null  object \n",
      " 8   first_date   16044 non-null  object \n",
      " 9   recency      16044 non-null  int64  \n",
      " 10  monetary     16044 non-null  float64\n",
      " 11  frequency    16044 non-null  int64  \n",
      "dtypes: float64(2), int64(5), object(5)\n",
      "memory usage: 1.5+ MB\n"
     ]
    }
   ],
   "source": [
    "fact_segment.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "revenue_date = fact_segment.groupby('rental_date')['amount'].sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "sns.lineplot(x=revenue_date['rental_date'], y=revenue_date['amount'])\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "sns.boxplot(data=fact_segment, y='monetary', x='country', legend=False)\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='frequency', ylabel='recency'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 3, figsize=(15, 5))\n",
    "sns.regplot(data=fact_segment, x='monetary', y='frequency', ax=ax[0])\n",
    "sns.regplot(data=fact_segment, x='monetary', y='recency', ax=ax[1])\n",
    "sns.regplot(data=fact_segment, x='frequency', y='recency', ax=ax[2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Phân cụm khách hàng**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>recency</th>\n",
       "      <th>monetary</th>\n",
       "      <th>frequency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.990868</td>\n",
       "      <td>0.497129</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.196347</td>\n",
       "      <td>0.292326</td>\n",
       "      <td>0.382353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.191781</td>\n",
       "      <td>0.134681</td>\n",
       "      <td>0.117647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.995434</td>\n",
       "      <td>0.532220</td>\n",
       "      <td>0.529412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.981735</td>\n",
       "      <td>0.291857</td>\n",
       "      <td>0.617647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>0.191781</td>\n",
       "      <td>0.461922</td>\n",
       "      <td>0.529412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>0.986301</td>\n",
       "      <td>0.654774</td>\n",
       "      <td>0.764706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>0.164384</td>\n",
       "      <td>0.198770</td>\n",
       "      <td>0.294118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>0.182648</td>\n",
       "      <td>0.251435</td>\n",
       "      <td>0.323529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>577</th>\n",
       "      <td>0.182648</td>\n",
       "      <td>0.175630</td>\n",
       "      <td>0.147059</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>578 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      recency  monetary  frequency\n",
       "0    0.990868  0.497129   0.500000\n",
       "1    0.196347  0.292326   0.382353\n",
       "2    0.191781  0.134681   0.117647\n",
       "3    0.995434  0.532220   0.529412\n",
       "4    0.981735  0.291857   0.617647\n",
       "..        ...       ...        ...\n",
       "573  0.191781  0.461922   0.529412\n",
       "574  0.986301  0.654774   0.764706\n",
       "575  0.164384  0.198770   0.294118\n",
       "576  0.182648  0.251435   0.323529\n",
       "577  0.182648  0.175630   0.147059\n",
       "\n",
       "[578 rows x 3 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_segment = fact_segment[['recency','monetary','frequency']]\n",
    "final_segment = final_segment.drop_duplicates().reset_index().drop(columns=['index'])\n",
    "\n",
    "scaler = MinMaxScaler().set_output(transform=\"pandas\")\n",
    "segment_scale = scaler.fit_transform(final_segment)\n",
    "segment_scale"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Tìm số cụm tối ưu cho mô hình Kmeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from clusteval import clusteval"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*1. Phương pháp ước lượng tỉ lệ từ điểm trong cụm chính nó cho đến các điểm khác*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[clusteval] >INFO> Saving data in memory.\n",
      "[clusteval] >INFO> Fit with method=[agglomerative], metric=[euclidean], linkage=[ward]\n",
      "[clusteval] >INFO> Evaluate using silhouette.\n",
      "[clusteval] >INFO:   0%|          | 0/9 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[clusteval] >INFO: 100%|██████████| 9/9 [00:00<00:00, 74.39it/s]\n",
      "[clusteval] >INFO> Compute dendrogram threshold.\n",
      "[clusteval] >INFO> Optimal number clusters detected: [2].\n",
      "[clusteval] >INFO> Fin.\n"
     ]
    }
   ],
   "source": [
    "# Set parameters, as an example dbscan\n",
    "ce = clusteval(evaluate='silhouette', max_clust=11)\n",
    "\n",
    "# Fit to find optimal number of clusters using dbscan\n",
    "results = ce.fit(segment_scale)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 1500x800 with 1 Axes>,\n",
       " <Axes: xlabel='Nr. clusters', ylabel='Score'>)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ce.plot(verbose=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*2. Phương pháp tính trung bình khoãng cách của 1 điểm đến cụm chính nó*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Run the Kmeans algorithm and get the index of data points clusters\n",
    "sse = []\n",
    "list_k = list(range(1, 10))\n",
    "\n",
    "for k in list_k:\n",
    "    km = KMeans(n_clusters=k)\n",
    "    km.fit(segment_scale)\n",
    "    sse.append(km.inertia_)\n",
    "\n",
    "# Plot sse against k\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(list_k, sse, '-o')\n",
    "plt.xlabel(r'Number of clusters *k*')\n",
    "plt.ylabel('Sum of squared distance');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Thực hiện phân cụm theo k cụm thích hợp, chọn k = 4 vì tại đây độ đo có dấu hiệu giảm đáng kể tạo thành hình khủy tay (elbow)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "kmeans = KMeans(n_clusters=4, verbose=0).fit(segment_scale)\n",
    "segmentation = kmeans.predict(segment_scale)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.17853881, 0.54168772, 0.6157754 ],\n",
       "       [0.97428503, 0.36601302, 0.46130031],\n",
       "       [0.1647403 , 0.19702009, 0.25344669],\n",
       "       [0.1714029 , 0.36284075, 0.43022528]])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kmeans.cluster_centers_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>recency</th>\n",
       "      <th>monetary</th>\n",
       "      <th>frequency</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>264</td>\n",
       "      <td>135.70999</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>90</td>\n",
       "      <td>100.75000</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>89</td>\n",
       "      <td>73.84000</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>265</td>\n",
       "      <td>141.70000</td>\n",
       "      <td>30</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>262</td>\n",
       "      <td>100.67000</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   recency   monetary  frequency  cluster\n",
       "0      264  135.70999         29        1\n",
       "1       90  100.75000         25        3\n",
       "2       89   73.84000         16        2\n",
       "3      265  141.70000         30        1\n",
       "4      262  100.67000         33        1"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_segment['cluster'] = segmentation\n",
    "final_segment.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[clusteval] >INFO> Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[clusteval] >INFO> Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[clusteval] >INFO> Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "[clusteval] >INFO> Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[clusteval] >INFO> Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
      "[clusteval] >INFO> Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "customer_clusters = final_segment.groupby(['cluster'], as_index=False).mean()\n",
    "\n",
    "cols = ['recency','frequency','monetary']\n",
    "\n",
    "for i in cols:\n",
    "    sns.barplot(data=customer_clusters, x='cluster', y=i)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cluster_scatterplot(data, centers):\n",
    "    twodim = PCA().fit_transform(data)[:,:2]\n",
    "    plt.figure(figsize=(7,7))\n",
    "    plt.scatter(twodim[:,0], twodim[:,1], edgecolors='k', c='#5DADE2')\n",
    "    \n",
    "    twodim = PCA().fit_transform(centers)[:,:2]\n",
    "    for i,j in twodim:\n",
    "        plt.scatter(i, j, s=100, c='r', marker='+')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cluster_scatterplot(segment_scale, kmeans.cluster_centers_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Chia thành 4 nhóm khách hàng:\n",
    "\n",
    "`Recency thấp - Frequency trung bình - Monetary trung bình:` \n",
    "+ Là nhóm khách hàng từng rất tiềm năng nhưng dạo gần đây đã mất hứng thú với doanh nghiệp\n",
    "+ Cần các chiến dịch marketing để thu hút họ trở lại\n",
    "\n",
    "`Recency cao - Frequency trung bình - Monetary trung bình:` \n",
    "+ Là nhóm khách hàng tiềm năng để chuyển đổi thành khách hàng trung thành\n",
    "+ Doanh nghiệp cần triển khai các chiến lược marketing phù hợp để thu hút và giữ chân nhóm khách hàng này\n",
    "\n",
    "`Recency thấp - Frequency cao - Monetary cao:`\n",
    "+ Là nhóm khách hàng tiềm năng có giá trị cao cho doanh nghiệp trong quá khứ\n",
    "+ Việc triển khai các chiến lược marketing phù hợp sẽ giúp thu hút họ trở lại và gia tăng doanh thu từ nhóm khách hàng này\n",
    "\n",
    "`Recency thấp - Frequency thấp - Monetary thấp:` \n",
    "+ Là nhóm khách hàng có giá trị thấp cho doanh nghiệp\n",
    "+ Doanh nghiệp cần cân nhắc việc đầu tư thời gian và nguồn lực vào nhóm khách hàng này"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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