diff --git a/funct.py b/funct.py
new file mode 100644
index 0000000..c07eb82
--- /dev/null
+++ b/funct.py
@@ -0,0 +1,15 @@
+def cleaning_data (dataf: pd.Series) -> pd.Series:
+    dataf.columns = [(column.lower()).replace(" ","_") for column in dataf.columns]
+    dataf = dataf.rename(columns={"st": "state"})
+    return dataf
+
+
+def renaming_categorial_values (dataf: pd.Series, old_list: list, new_list: list) -> pd.Series:
+    dataf = dataf.astype(str)
+    dataf = dataf.replace(old_list, new_list)
+    return dataf
+
+
+def gender_column_cleaning (dataf: pd.Series) -> pd.Series:
+    dataf = dataf.str.upper().str.strip().str[0]
+    return dataf
\ No newline at end of file
diff --git a/lab-dw-data-structuring-and-combining.ipynb b/lab-dw-data-structuring-and-combining.ipynb
index ec4e3f9..78d1e25 100644
--- a/lab-dw-data-structuring-and-combining.ipynb
+++ b/lab-dw-data-structuring-and-combining.ipynb
@@ -36,14 +36,1719 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "492d06e3-92c7-4105-ac72-536db98d3244",
    "metadata": {
     "id": "492d06e3-92c7-4105-ac72-536db98d3244"
    },
    "outputs": [],
    "source": [
-    "# Your code goes here"
+    "# Your code goes here\n",
+    "import pandas as pd\n",
+    "import funct as f\n",
+    "\n",
+    "url_1 = 'https://raw.githubusercontent.com/data-bootcamp-v4/data/main/file2.csv'\n",
+    "url_2 = 'https://raw.githubusercontent.com/data-bootcamp-v4/data/main/file3.csv'\n",
+    "df_1 = pd.read_csv(url_1)\n",
+    "df_2 = pd.read_csv(url_2)\n",
+    "df_3 = pd.read_csv('new_file.csv')\n",
+    "\n",
+    "#df_cleaned = pd.read_csv(\"cleaned_csv\") - save cleaned and read here"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f736f139-d56e-414b-b1cb-746315093c91",
+   "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>Customer</th>\n",
+       "      <th>ST</th>\n",
+       "      <th>GENDER</th>\n",
+       "      <th>Education</th>\n",
+       "      <th>Customer Lifetime Value</th>\n",
+       "      <th>Income</th>\n",
+       "      <th>Monthly Premium Auto</th>\n",
+       "      <th>Number of Open Complaints</th>\n",
+       "      <th>Total Claim Amount</th>\n",
+       "      <th>Policy Type</th>\n",
+       "      <th>Vehicle Class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>GS98873</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>323912.47%</td>\n",
+       "      <td>16061</td>\n",
+       "      <td>88</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>633.6</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>CW49887</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>462680.11%</td>\n",
+       "      <td>79487</td>\n",
+       "      <td>114</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>547.2</td>\n",
+       "      <td>Special Auto</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>MY31220</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>899704.02%</td>\n",
+       "      <td>54230</td>\n",
+       "      <td>112</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>537.6</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>UH35128</td>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2580706.30%</td>\n",
+       "      <td>71210</td>\n",
+       "      <td>214</td>\n",
+       "      <td>1/1/00</td>\n",
+       "      <td>1027.2</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Luxury Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>WH52799</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>380812.21%</td>\n",
+       "      <td>94903</td>\n",
+       "      <td>94</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>451.2</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Customer          ST GENDER Education Customer Lifetime Value  Income  \\\n",
+       "0  GS98873     Arizona      F  Bachelor              323912.47%   16061   \n",
+       "1  CW49887  California      F    Master              462680.11%   79487   \n",
+       "2  MY31220  California      F   College              899704.02%   54230   \n",
+       "3  UH35128      Oregon      F   College             2580706.30%   71210   \n",
+       "4  WH52799     Arizona      F   College              380812.21%   94903   \n",
+       "\n",
+       "   Monthly Premium Auto Number of Open Complaints  Total Claim Amount  \\\n",
+       "0                    88                    1/0/00               633.6   \n",
+       "1                   114                    1/0/00               547.2   \n",
+       "2                   112                    1/0/00               537.6   \n",
+       "3                   214                    1/1/00              1027.2   \n",
+       "4                    94                    1/0/00               451.2   \n",
+       "\n",
+       "      Policy Type  Vehicle Class  \n",
+       "0   Personal Auto  Four-Door Car  \n",
+       "1    Special Auto            SUV  \n",
+       "2   Personal Auto   Two-Door Car  \n",
+       "3   Personal Auto     Luxury Car  \n",
+       "4  Corporate Auto   Two-Door Car  "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_1.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "38036b51-daa5-4fda-99aa-8c604daa6452",
+   "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>customer</th>\n",
+       "      <th>state</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>education</th>\n",
+       "      <th>customer_lifetime_value</th>\n",
+       "      <th>income</th>\n",
+       "      <th>monthly_premium_auto</th>\n",
+       "      <th>number_of_open_complaints</th>\n",
+       "      <th>total_claim_amount</th>\n",
+       "      <th>policy_type</th>\n",
+       "      <th>vehicle_class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>GS98873</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>323912.47%</td>\n",
+       "      <td>16061</td>\n",
+       "      <td>88</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>633.600000</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>CW49887</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>462680.11%</td>\n",
+       "      <td>79487</td>\n",
+       "      <td>114</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>547.200000</td>\n",
+       "      <td>Special Auto</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>MY31220</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>899704.02%</td>\n",
+       "      <td>54230</td>\n",
+       "      <td>112</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>537.600000</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>UH35128</td>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2580706.30%</td>\n",
+       "      <td>71210</td>\n",
+       "      <td>214</td>\n",
+       "      <td>1/1/00</td>\n",
+       "      <td>1027.200000</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Luxury Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>WH52799</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>380812.21%</td>\n",
+       "      <td>94903</td>\n",
+       "      <td>94</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>451.200000</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>991</th>\n",
+       "      <td>HV85198</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>847141.75%</td>\n",
+       "      <td>63513</td>\n",
+       "      <td>70</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>185.667213</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>992</th>\n",
+       "      <td>BS91566</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>543121.91%</td>\n",
+       "      <td>58161</td>\n",
+       "      <td>68</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>140.747286</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>993</th>\n",
+       "      <td>IL40123</td>\n",
+       "      <td>Nevada</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>568964.41%</td>\n",
+       "      <td>83640</td>\n",
+       "      <td>70</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>471.050488</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>994</th>\n",
+       "      <td>MY32149</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>368672.38%</td>\n",
+       "      <td>0</td>\n",
+       "      <td>96</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>28.460568</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>SA91515</td>\n",
+       "      <td>California</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>399258.39%</td>\n",
+       "      <td>0</td>\n",
+       "      <td>111</td>\n",
+       "      <td>1/0/00</td>\n",
+       "      <td>700.349052</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>996 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    customer       state gender education customer_lifetime_value  income  \\\n",
+       "0    GS98873     Arizona      F  Bachelor              323912.47%   16061   \n",
+       "1    CW49887  California      F    Master              462680.11%   79487   \n",
+       "2    MY31220  California      F   College              899704.02%   54230   \n",
+       "3    UH35128      Oregon      F   College             2580706.30%   71210   \n",
+       "4    WH52799     Arizona      F   College              380812.21%   94903   \n",
+       "..       ...         ...    ...       ...                     ...     ...   \n",
+       "991  HV85198     Arizona      M    Master              847141.75%   63513   \n",
+       "992  BS91566     Arizona      F   College              543121.91%   58161   \n",
+       "993  IL40123      Nevada      F   College              568964.41%   83640   \n",
+       "994  MY32149  California      F    Master              368672.38%       0   \n",
+       "995  SA91515  California      M  Bachelor              399258.39%       0   \n",
+       "\n",
+       "     monthly_premium_auto number_of_open_complaints  total_claim_amount  \\\n",
+       "0                      88                    1/0/00          633.600000   \n",
+       "1                     114                    1/0/00          547.200000   \n",
+       "2                     112                    1/0/00          537.600000   \n",
+       "3                     214                    1/1/00         1027.200000   \n",
+       "4                      94                    1/0/00          451.200000   \n",
+       "..                    ...                       ...                 ...   \n",
+       "991                    70                    1/0/00          185.667213   \n",
+       "992                    68                    1/0/00          140.747286   \n",
+       "993                    70                    1/0/00          471.050488   \n",
+       "994                    96                    1/0/00           28.460568   \n",
+       "995                   111                    1/0/00          700.349052   \n",
+       "\n",
+       "        policy_type  vehicle_class  \n",
+       "0     Personal Auto  Four-Door Car  \n",
+       "1      Special Auto            SUV  \n",
+       "2     Personal Auto   Two-Door Car  \n",
+       "3     Personal Auto     Luxury Car  \n",
+       "4    Corporate Auto   Two-Door Car  \n",
+       "..              ...            ...  \n",
+       "991   Personal Auto  Four-Door Car  \n",
+       "992  Corporate Auto  Four-Door Car  \n",
+       "993  Corporate Auto   Two-Door Car  \n",
+       "994   Personal Auto   Two-Door Car  \n",
+       "995   Personal Auto            SUV  \n",
+       "\n",
+       "[996 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "copy_df1 = df_1.copy()\n",
+    "copy_df1 = f.cleaning_data(copy_df1)\n",
+    "old_name_list = ['AZ', 'WA']\n",
+    "new_name_list = ['Arizona', 'Washington']\n",
+    "copy_df1[\"state\"] = f.renaming_categorial_values(copy_df1[\"state\"], old_name_list, new_name_list)\n",
+    "copy_df1[\"gender\"] = f.gender_column_cleaning(copy_df1[\"gender\"])\n",
+    "old_list = ['Bachelors']\n",
+    "new_list = ['Bachelor']\n",
+    "copy_df1[\"education\"] = f.renaming_categorial_values(copy_df1[\"education\"], old_list, new_list)\n",
+    "\n",
+    "copy_df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "18bc31b5-ace9-43ee-9d3d-8eb553162b53",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#old_l = ['Sports Car', 'Luxury SUV', 'Luxury SUV']\n",
+    "#new_l = ['Luxury']\n",
+    "#copy_df1[\"vehicle_class\"] = f.renaming_categorial_values(copy_df1[\"vehicle_class\"], old_l, new_l)\n",
+    "copy_df1[\"customer_lifetime_value\"] = copy_df1[\"customer_lifetime_value\"].str.replace(\"%\", \"\")\n",
+    "copy_df1[\"customer_lifetime_value\"] = copy_df1[\"customer_lifetime_value\"].map(float)\n",
+    "copy_df1[\"number_of_open_complaints\"] = copy_df1[\"number_of_open_complaints\"].str[2]\n",
+    "copy_df1[\"number_of_open_complaints\"] = copy_df1[\"number_of_open_complaints\"].fillna(0).map(int)\n",
+    "copy_df1 = copy_df1.dropna(subset=[\"customer\"])\n",
+    "copy_df1[\"customer_lifetime_value\"] = copy_df1[\"customer_lifetime_value\"].fillna(0).map(int)\n",
+    "copy_df1['income'] = copy_df1['income'].map(int)\n",
+    "copy_df1['monthly_premium_auto'] = copy_df1['monthly_premium_auto'].map(int)\n",
+    "copy_df1['total_claim_amount'] = copy_df1['total_claim_amount'].map(int)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "c41d02e9-8d12-4532-9954-e1d13c54be86",
+   "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>customer</th>\n",
+       "      <th>state</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>education</th>\n",
+       "      <th>customer_lifetime_value</th>\n",
+       "      <th>income</th>\n",
+       "      <th>monthly_premium_auto</th>\n",
+       "      <th>number_of_open_complaints</th>\n",
+       "      <th>total_claim_amount</th>\n",
+       "      <th>policy_type</th>\n",
+       "      <th>vehicle_class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>GS98873</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>323912</td>\n",
+       "      <td>16061</td>\n",
+       "      <td>88</td>\n",
+       "      <td>0</td>\n",
+       "      <td>633</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>CW49887</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>462680</td>\n",
+       "      <td>79487</td>\n",
+       "      <td>114</td>\n",
+       "      <td>0</td>\n",
+       "      <td>547</td>\n",
+       "      <td>Special Auto</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>MY31220</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>899704</td>\n",
+       "      <td>54230</td>\n",
+       "      <td>112</td>\n",
+       "      <td>0</td>\n",
+       "      <td>537</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>UH35128</td>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2580706</td>\n",
+       "      <td>71210</td>\n",
+       "      <td>214</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1027</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Luxury Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>WH52799</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>380812</td>\n",
+       "      <td>94903</td>\n",
+       "      <td>94</td>\n",
+       "      <td>0</td>\n",
+       "      <td>451</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>991</th>\n",
+       "      <td>HV85198</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>847141</td>\n",
+       "      <td>63513</td>\n",
+       "      <td>70</td>\n",
+       "      <td>0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>992</th>\n",
+       "      <td>BS91566</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>543121</td>\n",
+       "      <td>58161</td>\n",
+       "      <td>68</td>\n",
+       "      <td>0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>993</th>\n",
+       "      <td>IL40123</td>\n",
+       "      <td>Nevada</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>568964</td>\n",
+       "      <td>83640</td>\n",
+       "      <td>70</td>\n",
+       "      <td>0</td>\n",
+       "      <td>471</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>994</th>\n",
+       "      <td>MY32149</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>368672</td>\n",
+       "      <td>0</td>\n",
+       "      <td>96</td>\n",
+       "      <td>0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>SA91515</td>\n",
+       "      <td>California</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>399258</td>\n",
+       "      <td>0</td>\n",
+       "      <td>111</td>\n",
+       "      <td>0</td>\n",
+       "      <td>700</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>996 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    customer       state gender education  customer_lifetime_value  income  \\\n",
+       "0    GS98873     Arizona      F  Bachelor                   323912   16061   \n",
+       "1    CW49887  California      F    Master                   462680   79487   \n",
+       "2    MY31220  California      F   College                   899704   54230   \n",
+       "3    UH35128      Oregon      F   College                  2580706   71210   \n",
+       "4    WH52799     Arizona      F   College                   380812   94903   \n",
+       "..       ...         ...    ...       ...                      ...     ...   \n",
+       "991  HV85198     Arizona      M    Master                   847141   63513   \n",
+       "992  BS91566     Arizona      F   College                   543121   58161   \n",
+       "993  IL40123      Nevada      F   College                   568964   83640   \n",
+       "994  MY32149  California      F    Master                   368672       0   \n",
+       "995  SA91515  California      M  Bachelor                   399258       0   \n",
+       "\n",
+       "     monthly_premium_auto  number_of_open_complaints  total_claim_amount  \\\n",
+       "0                      88                          0                 633   \n",
+       "1                     114                          0                 547   \n",
+       "2                     112                          0                 537   \n",
+       "3                     214                          1                1027   \n",
+       "4                      94                          0                 451   \n",
+       "..                    ...                        ...                 ...   \n",
+       "991                    70                          0                 185   \n",
+       "992                    68                          0                 140   \n",
+       "993                    70                          0                 471   \n",
+       "994                    96                          0                  28   \n",
+       "995                   111                          0                 700   \n",
+       "\n",
+       "        policy_type  vehicle_class  \n",
+       "0     Personal Auto  Four-Door Car  \n",
+       "1      Special Auto            SUV  \n",
+       "2     Personal Auto   Two-Door Car  \n",
+       "3     Personal Auto     Luxury Car  \n",
+       "4    Corporate Auto   Two-Door Car  \n",
+       "..              ...            ...  \n",
+       "991   Personal Auto  Four-Door Car  \n",
+       "992  Corporate Auto  Four-Door Car  \n",
+       "993  Corporate Auto   Two-Door Car  \n",
+       "994   Personal Auto   Two-Door Car  \n",
+       "995   Personal Auto            SUV  \n",
+       "\n",
+       "[996 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "copy_df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c119e77e-bbe0-4c2c-8073-56a6fcb65eeb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_1 = copy_df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "2107fe52-3cda-4850-ae45-52bdfa01d750",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Customer</th>\n",
+       "      <th>State</th>\n",
+       "      <th>Customer Lifetime Value</th>\n",
+       "      <th>Education</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Income</th>\n",
+       "      <th>Monthly Premium Auto</th>\n",
+       "      <th>Number of Open Complaints</th>\n",
+       "      <th>Policy Type</th>\n",
+       "      <th>Total Claim Amount</th>\n",
+       "      <th>Vehicle Class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SA25987</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>3479.137523</td>\n",
+       "      <td>High School or Below</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>104</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>499.200000</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>TB86706</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>2502.637401</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>66</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>3.468912</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ZL73902</td>\n",
+       "      <td>Nevada</td>\n",
+       "      <td>3265.156348</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>F</td>\n",
+       "      <td>25820</td>\n",
+       "      <td>82</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>393.600000</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>KX23516</td>\n",
+       "      <td>California</td>\n",
+       "      <td>4455.843406</td>\n",
+       "      <td>High School or Below</td>\n",
+       "      <td>F</td>\n",
+       "      <td>0</td>\n",
+       "      <td>121</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>699.615192</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>FN77294</td>\n",
+       "      <td>California</td>\n",
+       "      <td>7704.958480</td>\n",
+       "      <td>High School or Below</td>\n",
+       "      <td>M</td>\n",
+       "      <td>30366</td>\n",
+       "      <td>101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>484.800000</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Customer       State  Customer Lifetime Value             Education Gender  \\\n",
+       "0  SA25987  Washington              3479.137523  High School or Below      M   \n",
+       "1  TB86706     Arizona              2502.637401                Master      M   \n",
+       "2  ZL73902      Nevada              3265.156348              Bachelor      F   \n",
+       "3  KX23516  California              4455.843406  High School or Below      F   \n",
+       "4  FN77294  California              7704.958480  High School or Below      M   \n",
+       "\n",
+       "   Income  Monthly Premium Auto  Number of Open Complaints    Policy Type  \\\n",
+       "0       0                   104                          0  Personal Auto   \n",
+       "1       0                    66                          0  Personal Auto   \n",
+       "2   25820                    82                          0  Personal Auto   \n",
+       "3       0                   121                          0  Personal Auto   \n",
+       "4   30366                   101                          2  Personal Auto   \n",
+       "\n",
+       "   Total Claim Amount  Vehicle Class  \n",
+       "0          499.200000   Two-Door Car  \n",
+       "1            3.468912   Two-Door Car  \n",
+       "2          393.600000  Four-Door Car  \n",
+       "3          699.615192            SUV  \n",
+       "4          484.800000            SUV  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_2.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "27711428-37d4-41be-a3d8-bcc71f0dbbd8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer</th>\n",
+       "      <th>state</th>\n",
+       "      <th>customer_lifetime_value</th>\n",
+       "      <th>education</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>income</th>\n",
+       "      <th>monthly_premium_auto</th>\n",
+       "      <th>number_of_open_complaints</th>\n",
+       "      <th>policy_type</th>\n",
+       "      <th>total_claim_amount</th>\n",
+       "      <th>vehicle_class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SA25987</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>3479.137523</td>\n",
+       "      <td>High School or Below</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>104</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>499.200000</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>TB86706</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>2502.637401</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>66</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>3.468912</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ZL73902</td>\n",
+       "      <td>Nevada</td>\n",
+       "      <td>3265.156348</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>F</td>\n",
+       "      <td>25820</td>\n",
+       "      <td>82</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>393.600000</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>KX23516</td>\n",
+       "      <td>California</td>\n",
+       "      <td>4455.843406</td>\n",
+       "      <td>High School or Below</td>\n",
+       "      <td>F</td>\n",
+       "      <td>0</td>\n",
+       "      <td>121</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>699.615192</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>FN77294</td>\n",
+       "      <td>California</td>\n",
+       "      <td>7704.958480</td>\n",
+       "      <td>High School or Below</td>\n",
+       "      <td>M</td>\n",
+       "      <td>30366</td>\n",
+       "      <td>101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>484.800000</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7065</th>\n",
+       "      <td>LA72316</td>\n",
+       "      <td>California</td>\n",
+       "      <td>23405.987980</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>M</td>\n",
+       "      <td>71941</td>\n",
+       "      <td>73</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>198.234764</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7066</th>\n",
+       "      <td>PK87824</td>\n",
+       "      <td>California</td>\n",
+       "      <td>3096.511217</td>\n",
+       "      <td>College</td>\n",
+       "      <td>F</td>\n",
+       "      <td>21604</td>\n",
+       "      <td>79</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>379.200000</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7067</th>\n",
+       "      <td>TD14365</td>\n",
+       "      <td>California</td>\n",
+       "      <td>8163.890428</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>85</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>790.784983</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7068</th>\n",
+       "      <td>UP19263</td>\n",
+       "      <td>California</td>\n",
+       "      <td>7524.442436</td>\n",
+       "      <td>College</td>\n",
+       "      <td>M</td>\n",
+       "      <td>21941</td>\n",
+       "      <td>96</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>691.200000</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7069</th>\n",
+       "      <td>Y167826</td>\n",
+       "      <td>California</td>\n",
+       "      <td>2611.836866</td>\n",
+       "      <td>College</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>77</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>369.600000</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>7070 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer       state  customer_lifetime_value             education  \\\n",
+       "0     SA25987  Washington              3479.137523  High School or Below   \n",
+       "1     TB86706     Arizona              2502.637401                Master   \n",
+       "2     ZL73902      Nevada              3265.156348              Bachelor   \n",
+       "3     KX23516  California              4455.843406  High School or Below   \n",
+       "4     FN77294  California              7704.958480  High School or Below   \n",
+       "...       ...         ...                      ...                   ...   \n",
+       "7065  LA72316  California             23405.987980              Bachelor   \n",
+       "7066  PK87824  California              3096.511217               College   \n",
+       "7067  TD14365  California              8163.890428              Bachelor   \n",
+       "7068  UP19263  California              7524.442436               College   \n",
+       "7069  Y167826  California              2611.836866               College   \n",
+       "\n",
+       "     gender  income  monthly_premium_auto  number_of_open_complaints  \\\n",
+       "0         M       0                   104                          0   \n",
+       "1         M       0                    66                          0   \n",
+       "2         F   25820                    82                          0   \n",
+       "3         F       0                   121                          0   \n",
+       "4         M   30366                   101                          2   \n",
+       "...     ...     ...                   ...                        ...   \n",
+       "7065      M   71941                    73                          0   \n",
+       "7066      F   21604                    79                          0   \n",
+       "7067      M       0                    85                          3   \n",
+       "7068      M   21941                    96                          0   \n",
+       "7069      M       0                    77                          0   \n",
+       "\n",
+       "         policy_type  total_claim_amount  vehicle_class  \n",
+       "0      Personal Auto          499.200000   Two-Door Car  \n",
+       "1      Personal Auto            3.468912   Two-Door Car  \n",
+       "2      Personal Auto          393.600000  Four-Door Car  \n",
+       "3      Personal Auto          699.615192            SUV  \n",
+       "4      Personal Auto          484.800000            SUV  \n",
+       "...              ...                 ...            ...  \n",
+       "7065   Personal Auto          198.234764  Four-Door Car  \n",
+       "7066  Corporate Auto          379.200000  Four-Door Car  \n",
+       "7067  Corporate Auto          790.784983  Four-Door Car  \n",
+       "7068   Personal Auto          691.200000  Four-Door Car  \n",
+       "7069  Corporate Auto          369.600000   Two-Door Car  \n",
+       "\n",
+       "[7070 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "copy_df1 = df_2.copy()\n",
+    "copy_df1 = f.cleaning_data(copy_df1)\n",
+    "old_name_list = ['AZ', 'WA']\n",
+    "new_name_list = ['Arizona', 'Washington']\n",
+    "copy_df1[\"state\"] = f.renaming_categorial_values(copy_df1[\"state\"], old_name_list, new_name_list)\n",
+    "copy_df1[\"gender\"] = f.gender_column_cleaning(copy_df1[\"gender\"])\n",
+    "old_list = ['Bachelors']\n",
+    "new_list = ['Bachelor']\n",
+    "copy_df1[\"education\"] = f.renaming_categorial_values(copy_df1[\"education\"], old_list, new_list)\n",
+    "\n",
+    "copy_df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "840cf2c8-6abf-4a14-84eb-5b6e01808f1a",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "#old_l = ['Sports Car', 'Luxury SUV', 'Luxury SUV']\n",
+    "#new_l = ['Luxury']\n",
+    "#copy_df1[\"vehicle_class\"] = f.renaming_categorial_values(copy_df1[\"vehicle_class\"], old_l, new_l)\n",
+    "#copy_df1[\"customer_lifetime_value\"] = copy_df1[\"customer_lifetime_value\"].str.replace(\"%\", \"\")\n",
+    "copy_df1[\"customer_lifetime_value\"] = copy_df1[\"customer_lifetime_value\"].map(float)\n",
+    "#copy_df1[\"number_of_open_complaints\"] = copy_df1[\"number_of_open_complaints\"].str[2]\n",
+    "copy_df1[\"number_of_open_complaints\"] = copy_df1[\"number_of_open_complaints\"].fillna(0).map(int)\n",
+    "copy_df1 = copy_df1.dropna(subset=[\"customer\"])\n",
+    "copy_df1[\"customer_lifetime_value\"] = copy_df1[\"customer_lifetime_value\"].fillna(0).map(int)\n",
+    "copy_df1['income'] = copy_df1['income'].map(int)\n",
+    "copy_df1['monthly_premium_auto'] = copy_df1['monthly_premium_auto'].map(int)\n",
+    "copy_df1['total_claim_amount'] = copy_df1['total_claim_amount'].map(int)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "ea6e8362-846a-4072-8a3b-b78e57555d5d",
+   "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>customer</th>\n",
+       "      <th>state</th>\n",
+       "      <th>customer_lifetime_value</th>\n",
+       "      <th>education</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>income</th>\n",
+       "      <th>monthly_premium_auto</th>\n",
+       "      <th>number_of_open_complaints</th>\n",
+       "      <th>policy_type</th>\n",
+       "      <th>total_claim_amount</th>\n",
+       "      <th>vehicle_class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SA25987</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>3479</td>\n",
+       "      <td>High School or Below</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>104</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>499</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>TB86706</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>2502</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>66</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>ZL73902</td>\n",
+       "      <td>Nevada</td>\n",
+       "      <td>3265</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>F</td>\n",
+       "      <td>25820</td>\n",
+       "      <td>82</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>393</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>KX23516</td>\n",
+       "      <td>California</td>\n",
+       "      <td>4455</td>\n",
+       "      <td>High School or Below</td>\n",
+       "      <td>F</td>\n",
+       "      <td>0</td>\n",
+       "      <td>121</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>699</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>FN77294</td>\n",
+       "      <td>California</td>\n",
+       "      <td>7704</td>\n",
+       "      <td>High School or Below</td>\n",
+       "      <td>M</td>\n",
+       "      <td>30366</td>\n",
+       "      <td>101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>484</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7065</th>\n",
+       "      <td>LA72316</td>\n",
+       "      <td>California</td>\n",
+       "      <td>23405</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>M</td>\n",
+       "      <td>71941</td>\n",
+       "      <td>73</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>198</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7066</th>\n",
+       "      <td>PK87824</td>\n",
+       "      <td>California</td>\n",
+       "      <td>3096</td>\n",
+       "      <td>College</td>\n",
+       "      <td>F</td>\n",
+       "      <td>21604</td>\n",
+       "      <td>79</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>379</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7067</th>\n",
+       "      <td>TD14365</td>\n",
+       "      <td>California</td>\n",
+       "      <td>8163</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>85</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>790</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7068</th>\n",
+       "      <td>UP19263</td>\n",
+       "      <td>California</td>\n",
+       "      <td>7524</td>\n",
+       "      <td>College</td>\n",
+       "      <td>M</td>\n",
+       "      <td>21941</td>\n",
+       "      <td>96</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>691</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7069</th>\n",
+       "      <td>Y167826</td>\n",
+       "      <td>California</td>\n",
+       "      <td>2611</td>\n",
+       "      <td>College</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>77</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>369</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>7070 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer       state  customer_lifetime_value             education  \\\n",
+       "0     SA25987  Washington                     3479  High School or Below   \n",
+       "1     TB86706     Arizona                     2502                Master   \n",
+       "2     ZL73902      Nevada                     3265              Bachelor   \n",
+       "3     KX23516  California                     4455  High School or Below   \n",
+       "4     FN77294  California                     7704  High School or Below   \n",
+       "...       ...         ...                      ...                   ...   \n",
+       "7065  LA72316  California                    23405              Bachelor   \n",
+       "7066  PK87824  California                     3096               College   \n",
+       "7067  TD14365  California                     8163              Bachelor   \n",
+       "7068  UP19263  California                     7524               College   \n",
+       "7069  Y167826  California                     2611               College   \n",
+       "\n",
+       "     gender  income  monthly_premium_auto  number_of_open_complaints  \\\n",
+       "0         M       0                   104                          0   \n",
+       "1         M       0                    66                          0   \n",
+       "2         F   25820                    82                          0   \n",
+       "3         F       0                   121                          0   \n",
+       "4         M   30366                   101                          2   \n",
+       "...     ...     ...                   ...                        ...   \n",
+       "7065      M   71941                    73                          0   \n",
+       "7066      F   21604                    79                          0   \n",
+       "7067      M       0                    85                          3   \n",
+       "7068      M   21941                    96                          0   \n",
+       "7069      M       0                    77                          0   \n",
+       "\n",
+       "         policy_type  total_claim_amount  vehicle_class  \n",
+       "0      Personal Auto                 499   Two-Door Car  \n",
+       "1      Personal Auto                   3   Two-Door Car  \n",
+       "2      Personal Auto                 393  Four-Door Car  \n",
+       "3      Personal Auto                 699            SUV  \n",
+       "4      Personal Auto                 484            SUV  \n",
+       "...              ...                 ...            ...  \n",
+       "7065   Personal Auto                 198  Four-Door Car  \n",
+       "7066  Corporate Auto                 379  Four-Door Car  \n",
+       "7067  Corporate Auto                 790  Four-Door Car  \n",
+       "7068   Personal Auto                 691  Four-Door Car  \n",
+       "7069  Corporate Auto                 369   Two-Door Car  \n",
+       "\n",
+       "[7070 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "copy_df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "e7609468-e2c7-42ee-a157-dc99359e5a65",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_2 = copy_df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "88de64a4-9842-4be2-98d8-67e26046d62f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The dimension of dataset is:\n",
+      "Number of rows: 996\n",
+      "Number of columns: 11\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"The dimension of dataset is:\")\n",
+    "print(\"Number of rows:\",df_1.shape[0])\n",
+    "print(\"Number of columns:\",df_1.shape[1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "3a0809bc-8321-46d5-9fee-448e65aa871a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The dimension of dataset is:\n",
+      "Number of rows: 7070\n",
+      "Number of columns: 11\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"The dimension of dataset is:\")\n",
+    "print(\"Number of rows:\",df_2.shape[0])\n",
+    "print(\"Number of columns:\",df_2.shape[1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "620ef147-d41f-4e36-812e-4f3761da79bf",
+   "metadata": {
+    "scrolled": true
+   },
+   "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>customer</th>\n",
+       "      <th>state</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>education</th>\n",
+       "      <th>customer_lifetime_value</th>\n",
+       "      <th>income</th>\n",
+       "      <th>monthly_premium_auto</th>\n",
+       "      <th>number_of_open_complaints</th>\n",
+       "      <th>total_claim_amount</th>\n",
+       "      <th>policy_type</th>\n",
+       "      <th>vehicle_class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>GS98873</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>323912</td>\n",
+       "      <td>16061</td>\n",
+       "      <td>88</td>\n",
+       "      <td>0</td>\n",
+       "      <td>633</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>CW49887</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>Master</td>\n",
+       "      <td>462680</td>\n",
+       "      <td>79487</td>\n",
+       "      <td>114</td>\n",
+       "      <td>0</td>\n",
+       "      <td>547</td>\n",
+       "      <td>Special Auto</td>\n",
+       "      <td>SUV</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>MY31220</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>899704</td>\n",
+       "      <td>54230</td>\n",
+       "      <td>112</td>\n",
+       "      <td>0</td>\n",
+       "      <td>537</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>UH35128</td>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2580706</td>\n",
+       "      <td>71210</td>\n",
+       "      <td>214</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1027</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Luxury Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>WH52799</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>380812</td>\n",
+       "      <td>94903</td>\n",
+       "      <td>94</td>\n",
+       "      <td>0</td>\n",
+       "      <td>451</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8061</th>\n",
+       "      <td>LA72316</td>\n",
+       "      <td>California</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>23405</td>\n",
+       "      <td>71941</td>\n",
+       "      <td>73</td>\n",
+       "      <td>0</td>\n",
+       "      <td>198</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8062</th>\n",
+       "      <td>PK87824</td>\n",
+       "      <td>California</td>\n",
+       "      <td>F</td>\n",
+       "      <td>College</td>\n",
+       "      <td>3096</td>\n",
+       "      <td>21604</td>\n",
+       "      <td>79</td>\n",
+       "      <td>0</td>\n",
+       "      <td>379</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8063</th>\n",
+       "      <td>TD14365</td>\n",
+       "      <td>California</td>\n",
+       "      <td>M</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>8163</td>\n",
+       "      <td>0</td>\n",
+       "      <td>85</td>\n",
+       "      <td>3</td>\n",
+       "      <td>790</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8064</th>\n",
+       "      <td>UP19263</td>\n",
+       "      <td>California</td>\n",
+       "      <td>M</td>\n",
+       "      <td>College</td>\n",
+       "      <td>7524</td>\n",
+       "      <td>21941</td>\n",
+       "      <td>96</td>\n",
+       "      <td>0</td>\n",
+       "      <td>691</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8065</th>\n",
+       "      <td>Y167826</td>\n",
+       "      <td>California</td>\n",
+       "      <td>M</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2611</td>\n",
+       "      <td>0</td>\n",
+       "      <td>77</td>\n",
+       "      <td>0</td>\n",
+       "      <td>369</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Two-Door Car</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8066 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer       state gender education  customer_lifetime_value  income  \\\n",
+       "0     GS98873     Arizona      F  Bachelor                   323912   16061   \n",
+       "1     CW49887  California      F    Master                   462680   79487   \n",
+       "2     MY31220  California      F   College                   899704   54230   \n",
+       "3     UH35128      Oregon      F   College                  2580706   71210   \n",
+       "4     WH52799     Arizona      F   College                   380812   94903   \n",
+       "...       ...         ...    ...       ...                      ...     ...   \n",
+       "8061  LA72316  California      M  Bachelor                    23405   71941   \n",
+       "8062  PK87824  California      F   College                     3096   21604   \n",
+       "8063  TD14365  California      M  Bachelor                     8163       0   \n",
+       "8064  UP19263  California      M   College                     7524   21941   \n",
+       "8065  Y167826  California      M   College                     2611       0   \n",
+       "\n",
+       "      monthly_premium_auto  number_of_open_complaints  total_claim_amount  \\\n",
+       "0                       88                          0                 633   \n",
+       "1                      114                          0                 547   \n",
+       "2                      112                          0                 537   \n",
+       "3                      214                          1                1027   \n",
+       "4                       94                          0                 451   \n",
+       "...                    ...                        ...                 ...   \n",
+       "8061                    73                          0                 198   \n",
+       "8062                    79                          0                 379   \n",
+       "8063                    85                          3                 790   \n",
+       "8064                    96                          0                 691   \n",
+       "8065                    77                          0                 369   \n",
+       "\n",
+       "         policy_type  vehicle_class  \n",
+       "0      Personal Auto  Four-Door Car  \n",
+       "1       Special Auto            SUV  \n",
+       "2      Personal Auto   Two-Door Car  \n",
+       "3      Personal Auto     Luxury Car  \n",
+       "4     Corporate Auto   Two-Door Car  \n",
+       "...              ...            ...  \n",
+       "8061   Personal Auto  Four-Door Car  \n",
+       "8062  Corporate Auto  Four-Door Car  \n",
+       "8063  Corporate Auto  Four-Door Car  \n",
+       "8064   Personal Auto  Four-Door Car  \n",
+       "8065  Corporate Auto   Two-Door Car  \n",
+       "\n",
+       "[8066 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_concat = pd.concat([df_1, df_2], axis=0).reset_index(drop=True)\n",
+    "df_concat"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "a67606b1-bedf-4268-8685-4cd66c8134d1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_3 = df_3.drop([\"Unnamed: 0\"], axis=1)"
    ]
   },
   {
@@ -72,14 +1777,435 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "id": "aa10d9b0-1c27-4d3f-a8e4-db6ab73bfd26",
    "metadata": {
     "id": "aa10d9b0-1c27-4d3f-a8e4-db6ab73bfd26"
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['customer', 'state', 'customer_lifetime_value', 'response', 'coverage',\n",
+       "       'education', 'effective_to_date', 'employmentstatus', 'gender',\n",
+       "       'income', 'location_code', 'marital_status', 'monthly_premium_auto',\n",
+       "       'months_since_last_claim', 'months_since_policy_inception',\n",
+       "       'number_of_open_complaints', 'number_of_policies', 'policy_type',\n",
+       "       'policy', 'renew_offer_type', 'sales_channel', 'total_claim_amount',\n",
+       "       'vehicle_class', 'vehicle_size', 'vehicle_type', 'month'],\n",
+       "      dtype='str')"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code goes here"
+    "# Your code goes here\n",
+    "import pandas as pd\n",
+    "url = 'https://raw.githubusercontent.com/data-bootcamp-v4/data/main/marketing_customer_analysis_clean.csv'\n",
+    "df = pd.read_csv(url)\n",
+    "df = df.drop([\"unnamed:_0\"], axis=1)\n",
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "0aed66ce-cb56-4cba-b2d9-6ff3ca325e29",
+   "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>customer</th>\n",
+       "      <th>state</th>\n",
+       "      <th>customer_lifetime_value</th>\n",
+       "      <th>response</th>\n",
+       "      <th>coverage</th>\n",
+       "      <th>education</th>\n",
+       "      <th>effective_to_date</th>\n",
+       "      <th>employmentstatus</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>income</th>\n",
+       "      <th>...</th>\n",
+       "      <th>number_of_policies</th>\n",
+       "      <th>policy_type</th>\n",
+       "      <th>policy</th>\n",
+       "      <th>renew_offer_type</th>\n",
+       "      <th>sales_channel</th>\n",
+       "      <th>total_claim_amount</th>\n",
+       "      <th>vehicle_class</th>\n",
+       "      <th>vehicle_size</th>\n",
+       "      <th>vehicle_type</th>\n",
+       "      <th>month</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>DK49336</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>4809.216960</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2011-02-18</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>48029</td>\n",
+       "      <td>...</td>\n",
+       "      <td>9</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer3</td>\n",
+       "      <td>Agent</td>\n",
+       "      <td>292.800000</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "      <td>A</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>KX64629</td>\n",
+       "      <td>California</td>\n",
+       "      <td>2228.525238</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2011-01-18</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L3</td>\n",
+       "      <td>Offer4</td>\n",
+       "      <td>Call Center</td>\n",
+       "      <td>744.924331</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "      <td>A</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>LZ68649</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>14947.917300</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2011-02-10</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>22139</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L3</td>\n",
+       "      <td>Offer3</td>\n",
+       "      <td>Call Center</td>\n",
+       "      <td>480.000000</td>\n",
+       "      <td>SUV</td>\n",
+       "      <td>Medsize</td>\n",
+       "      <td>A</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>XL78013</td>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>22332.439460</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2011-01-11</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>49078</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer2</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>484.013411</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "      <td>A</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>QA50777</td>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>9025.067525</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Premium</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2011-01-17</td>\n",
+       "      <td>Medical Leave</td>\n",
+       "      <td>F</td>\n",
+       "      <td>23675</td>\n",
+       "      <td>...</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L2</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>707.925645</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "      <td>A</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10905</th>\n",
+       "      <td>FE99816</td>\n",
+       "      <td>Nevada</td>\n",
+       "      <td>15563.369440</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Premium</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2011-01-19</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L1</td>\n",
+       "      <td>Offer3</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>1214.400000</td>\n",
+       "      <td>Luxury Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "      <td>A</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10906</th>\n",
+       "      <td>KX53892</td>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>5259.444853</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2011-01-06</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>61146</td>\n",
+       "      <td>...</td>\n",
+       "      <td>6</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L3</td>\n",
+       "      <td>Offer2</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>273.018929</td>\n",
+       "      <td>Four-Door Car</td>\n",
+       "      <td>Medsize</td>\n",
+       "      <td>A</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10907</th>\n",
+       "      <td>TL39050</td>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>23893.304100</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Extended</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2011-02-06</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>39837</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Corporate Auto</td>\n",
+       "      <td>Corporate L3</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>381.306996</td>\n",
+       "      <td>Luxury SUV</td>\n",
+       "      <td>Medsize</td>\n",
+       "      <td>A</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10908</th>\n",
+       "      <td>WA60547</td>\n",
+       "      <td>California</td>\n",
+       "      <td>11971.977650</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Premium</td>\n",
+       "      <td>College</td>\n",
+       "      <td>2011-02-13</td>\n",
+       "      <td>Employed</td>\n",
+       "      <td>F</td>\n",
+       "      <td>64195</td>\n",
+       "      <td>...</td>\n",
+       "      <td>6</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L1</td>\n",
+       "      <td>Offer1</td>\n",
+       "      <td>Branch</td>\n",
+       "      <td>618.288849</td>\n",
+       "      <td>SUV</td>\n",
+       "      <td>Medsize</td>\n",
+       "      <td>A</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10909</th>\n",
+       "      <td>IV32877</td>\n",
+       "      <td>California</td>\n",
+       "      <td>6857.519928</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Basic</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2011-01-08</td>\n",
+       "      <td>Unemployed</td>\n",
+       "      <td>M</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Personal Auto</td>\n",
+       "      <td>Personal L1</td>\n",
+       "      <td>Offer4</td>\n",
+       "      <td>Web</td>\n",
+       "      <td>1021.719397</td>\n",
+       "      <td>SUV</td>\n",
+       "      <td>Medsize</td>\n",
+       "      <td>A</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10910 rows × 26 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      customer       state  customer_lifetime_value response  coverage  \\\n",
+       "0      DK49336     Arizona              4809.216960       No     Basic   \n",
+       "1      KX64629  California              2228.525238       No     Basic   \n",
+       "2      LZ68649  Washington             14947.917300       No     Basic   \n",
+       "3      XL78013      Oregon             22332.439460      Yes  Extended   \n",
+       "4      QA50777      Oregon              9025.067525       No   Premium   \n",
+       "...        ...         ...                      ...      ...       ...   \n",
+       "10905  FE99816      Nevada             15563.369440       No   Premium   \n",
+       "10906  KX53892      Oregon              5259.444853       No     Basic   \n",
+       "10907  TL39050     Arizona             23893.304100       No  Extended   \n",
+       "10908  WA60547  California             11971.977650       No   Premium   \n",
+       "10909  IV32877  California              6857.519928       No     Basic   \n",
+       "\n",
+       "      education effective_to_date employmentstatus gender  income  ...  \\\n",
+       "0       College        2011-02-18         Employed      M   48029  ...   \n",
+       "1       College        2011-01-18       Unemployed      F       0  ...   \n",
+       "2      Bachelor        2011-02-10         Employed      M   22139  ...   \n",
+       "3       College        2011-01-11         Employed      M   49078  ...   \n",
+       "4      Bachelor        2011-01-17    Medical Leave      F   23675  ...   \n",
+       "...         ...               ...              ...    ...     ...  ...   \n",
+       "10905  Bachelor        2011-01-19       Unemployed      F       0  ...   \n",
+       "10906   College        2011-01-06         Employed      F   61146  ...   \n",
+       "10907  Bachelor        2011-02-06         Employed      F   39837  ...   \n",
+       "10908   College        2011-02-13         Employed      F   64195  ...   \n",
+       "10909  Bachelor        2011-01-08       Unemployed      M       0  ...   \n",
+       "\n",
+       "      number_of_policies     policy_type        policy  renew_offer_type  \\\n",
+       "0                      9  Corporate Auto  Corporate L3            Offer3   \n",
+       "1                      1   Personal Auto   Personal L3            Offer4   \n",
+       "2                      2   Personal Auto   Personal L3            Offer3   \n",
+       "3                      2  Corporate Auto  Corporate L3            Offer2   \n",
+       "4                      7   Personal Auto   Personal L2            Offer1   \n",
+       "...                  ...             ...           ...               ...   \n",
+       "10905                  7   Personal Auto   Personal L1            Offer3   \n",
+       "10906                  6   Personal Auto   Personal L3            Offer2   \n",
+       "10907                  2  Corporate Auto  Corporate L3            Offer1   \n",
+       "10908                  6   Personal Auto   Personal L1            Offer1   \n",
+       "10909                  3   Personal Auto   Personal L1            Offer4   \n",
+       "\n",
+       "       sales_channel  total_claim_amount  vehicle_class vehicle_size  \\\n",
+       "0              Agent          292.800000  Four-Door Car      Medsize   \n",
+       "1        Call Center          744.924331  Four-Door Car      Medsize   \n",
+       "2        Call Center          480.000000            SUV      Medsize   \n",
+       "3             Branch          484.013411  Four-Door Car      Medsize   \n",
+       "4             Branch          707.925645  Four-Door Car      Medsize   \n",
+       "...              ...                 ...            ...          ...   \n",
+       "10905            Web         1214.400000     Luxury Car      Medsize   \n",
+       "10906         Branch          273.018929  Four-Door Car      Medsize   \n",
+       "10907            Web          381.306996     Luxury SUV      Medsize   \n",
+       "10908         Branch          618.288849            SUV      Medsize   \n",
+       "10909            Web         1021.719397            SUV      Medsize   \n",
+       "\n",
+       "      vehicle_type month  \n",
+       "0                A     2  \n",
+       "1                A     1  \n",
+       "2                A     2  \n",
+       "3                A     1  \n",
+       "4                A     1  \n",
+       "...            ...   ...  \n",
+       "10905            A     1  \n",
+       "10906            A     1  \n",
+       "10907            A     2  \n",
+       "10908            A     2  \n",
+       "10909            A     1  \n",
+       "\n",
+       "[10910 rows x 26 columns]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
    ]
   },
   {
@@ -93,6 +2219,79 @@
     "Round the total revenue to 2 decimal points.  Analyze the resulting table to draw insights."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "7d349941-9c8c-4571-9aad-741ae89163ff",
+   "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>total_claim_amount</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sales_channel</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Agent</th>\n",
+       "      <td>1810226.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Branch</th>\n",
+       "      <td>1301204.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Call Center</th>\n",
+       "      <td>926600.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Web</th>\n",
+       "      <td>706600.04</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               total_claim_amount\n",
+       "sales_channel                    \n",
+       "Agent                  1810226.82\n",
+       "Branch                 1301204.00\n",
+       "Call Center             926600.82\n",
+       "Web                     706600.04"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.pivot_table(index='sales_channel', values='total_claim_amount', aggfunc='sum').round(2)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "640993b2-a291-436c-a34d-a551144f8196",
@@ -103,6 +2302,69 @@
     "2. Create a pivot table that shows the average customer lifetime value per gender and education level. Analyze the resulting table to draw insights."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "16d4cfbd-4b50-46a7-b086-a22c4cf36d03",
+   "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>customer_lifetime_value</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>gender</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>F</th>\n",
+       "      <td>8071.11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>M</th>\n",
+       "      <td>7963.04</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        customer_lifetime_value\n",
+       "gender                         \n",
+       "F                       8071.11\n",
+       "M                       7963.04"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.pivot_table(index='gender', values='customer_lifetime_value', aggfunc='mean').round(2)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "32c7f2e5-3d90-43e5-be33-9781b6069198",
@@ -137,7 +2399,7 @@
    },
    "outputs": [],
    "source": [
-    "# Your code goes here"
+    "# Your code goes here\n"
    ]
   }
  ],
@@ -160,7 +2422,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.13"
+   "version": "3.14.6"
   }
  },
  "nbformat": 4,