diff --git a/lab-dw-aggregating.ipynb b/lab-dw-aggregating.ipynb
index fadd718..37dc389 100644
--- a/lab-dw-aggregating.ipynb
+++ b/lab-dw-aggregating.ipynb
@@ -127,14 +127,1208 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 2,
       "id": "449513f4-0459-46a0-a18d-9398d974c9ad",
       "metadata": {
         "id": "449513f4-0459-46a0-a18d-9398d974c9ad"
       },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "Index(['Unnamed: 0', 'Customer', 'State', 'Customer Lifetime Value',\n",
+              "       'Response', 'Coverage', 'Education', 'Effective To Date',\n",
+              "       'EmploymentStatus', 'Gender', 'Income', 'Location Code',\n",
+              "       'Marital Status', 'Monthly Premium Auto', 'Months Since Last Claim',\n",
+              "       'Months Since Policy Inception', 'Number of Open Complaints',\n",
+              "       'Number of Policies', 'Policy Type', 'Policy', 'Renew Offer Type',\n",
+              "       'Sales Channel', 'Total Claim Amount', 'Vehicle Class', 'Vehicle Size',\n",
+              "       'Vehicle Type'],\n",
+              "      dtype='object')"
+            ]
+          },
+          "execution_count": 2,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "import pandas as pd\n",
+        "df=pd.read_csv(\"https://raw.githubusercontent.com/data-bootcamp-v4/data/main/marketing_customer_analysis.csv\")\n",
+        "df.columns"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "id": "3ca20992",
+      "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>Unnamed: 0</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>...</th>\n",
+              "      <th>Number of Open Complaints</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",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>3</td>\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>1/11/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>M</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</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",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>8</td>\n",
+              "      <td>FM55990</td>\n",
+              "      <td>California</td>\n",
+              "      <td>5989.773931</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Premium</td>\n",
+              "      <td>College</td>\n",
+              "      <td>1/19/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>M</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>Personal Auto</td>\n",
+              "      <td>Personal L1</td>\n",
+              "      <td>Offer2</td>\n",
+              "      <td>Branch</td>\n",
+              "      <td>739.200000</td>\n",
+              "      <td>Sports Car</td>\n",
+              "      <td>Medsize</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>15</td>\n",
+              "      <td>CW49887</td>\n",
+              "      <td>California</td>\n",
+              "      <td>4626.801093</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Basic</td>\n",
+              "      <td>Master</td>\n",
+              "      <td>1/16/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>F</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>Special Auto</td>\n",
+              "      <td>Special L1</td>\n",
+              "      <td>Offer2</td>\n",
+              "      <td>Branch</td>\n",
+              "      <td>547.200000</td>\n",
+              "      <td>SUV</td>\n",
+              "      <td>Medsize</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>19</td>\n",
+              "      <td>NJ54277</td>\n",
+              "      <td>California</td>\n",
+              "      <td>3746.751625</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Extended</td>\n",
+              "      <td>College</td>\n",
+              "      <td>2/26/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>F</td>\n",
+              "      <td>...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>Personal Auto</td>\n",
+              "      <td>Personal L2</td>\n",
+              "      <td>Offer2</td>\n",
+              "      <td>Call Center</td>\n",
+              "      <td>19.575683</td>\n",
+              "      <td>Two-Door Car</td>\n",
+              "      <td>Large</td>\n",
+              "      <td>A</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>27</th>\n",
+              "      <td>27</td>\n",
+              "      <td>MQ68407</td>\n",
+              "      <td>Oregon</td>\n",
+              "      <td>4376.363592</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Premium</td>\n",
+              "      <td>Bachelor</td>\n",
+              "      <td>2/28/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>F</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>Personal Auto</td>\n",
+              "      <td>Personal L3</td>\n",
+              "      <td>Offer2</td>\n",
+              "      <td>Agent</td>\n",
+              "      <td>60.036683</td>\n",
+              "      <td>Four-Door Car</td>\n",
+              "      <td>Medsize</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>5 rows × 26 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "    Unnamed: 0 Customer       State  Customer Lifetime Value Response  \\\n",
+              "3            3  XL78013      Oregon             22332.439460      Yes   \n",
+              "8            8  FM55990  California              5989.773931      Yes   \n",
+              "15          15  CW49887  California              4626.801093      Yes   \n",
+              "19          19  NJ54277  California              3746.751625      Yes   \n",
+              "27          27  MQ68407      Oregon              4376.363592      Yes   \n",
+              "\n",
+              "    Coverage Education Effective To Date EmploymentStatus Gender  ...  \\\n",
+              "3   Extended   College           1/11/11         Employed      M  ...   \n",
+              "8    Premium   College           1/19/11         Employed      M  ...   \n",
+              "15     Basic    Master           1/16/11         Employed      F  ...   \n",
+              "19  Extended   College           2/26/11         Employed      F  ...   \n",
+              "27   Premium  Bachelor           2/28/11         Employed      F  ...   \n",
+              "\n",
+              "    Number of Open Complaints Number of Policies     Policy Type  \\\n",
+              "3                         0.0                  2  Corporate Auto   \n",
+              "8                         0.0                  1   Personal Auto   \n",
+              "15                        0.0                  1    Special Auto   \n",
+              "19                        1.0                  1   Personal Auto   \n",
+              "27                        0.0                  1   Personal Auto   \n",
+              "\n",
+              "          Policy  Renew Offer Type  Sales Channel  Total Claim Amount  \\\n",
+              "3   Corporate L3            Offer2         Branch          484.013411   \n",
+              "8    Personal L1            Offer2         Branch          739.200000   \n",
+              "15    Special L1            Offer2         Branch          547.200000   \n",
+              "19   Personal L2            Offer2    Call Center           19.575683   \n",
+              "27   Personal L3            Offer2          Agent           60.036683   \n",
+              "\n",
+              "    Vehicle Class Vehicle Size Vehicle Type  \n",
+              "3   Four-Door Car      Medsize            A  \n",
+              "8      Sports Car      Medsize          NaN  \n",
+              "15            SUV      Medsize          NaN  \n",
+              "19   Two-Door Car        Large            A  \n",
+              "27  Four-Door Car      Medsize          NaN  \n",
+              "\n",
+              "[5 rows x 26 columns]"
+            ]
+          },
+          "execution_count": 3,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "filtered_df = df[(df['Total Claim Amount'] < 1000) & (df['Response'] == 'Yes')]\n",
+        "filtered_df.head()\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 4,
+      "id": "49d44665",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "yes_df = df[df['Response'] == 'Yes']\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 5,
+      "id": "8c13375a",
+      "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></th>\n",
+              "      <th>Monthly Premium Auto</th>\n",
+              "      <th>Customer Lifetime Value</th>\n",
+              "      <th>Total Claim Amount</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Policy Type</th>\n",
+              "      <th>Gender</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Corporate Auto</th>\n",
+              "      <th>F</th>\n",
+              "      <td>94.30</td>\n",
+              "      <td>7712.63</td>\n",
+              "      <td>433.74</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>92.19</td>\n",
+              "      <td>7944.47</td>\n",
+              "      <td>408.58</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Personal Auto</th>\n",
+              "      <th>F</th>\n",
+              "      <td>99.00</td>\n",
+              "      <td>8339.79</td>\n",
+              "      <td>452.97</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>91.09</td>\n",
+              "      <td>7448.38</td>\n",
+              "      <td>457.01</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Special Auto</th>\n",
+              "      <th>F</th>\n",
+              "      <td>92.31</td>\n",
+              "      <td>7691.58</td>\n",
+              "      <td>453.28</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>86.34</td>\n",
+              "      <td>8247.09</td>\n",
+              "      <td>429.53</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                       Monthly Premium Auto  Customer Lifetime Value  \\\n",
+              "Policy Type    Gender                                                  \n",
+              "Corporate Auto F                      94.30                  7712.63   \n",
+              "               M                      92.19                  7944.47   \n",
+              "Personal Auto  F                      99.00                  8339.79   \n",
+              "               M                      91.09                  7448.38   \n",
+              "Special Auto   F                      92.31                  7691.58   \n",
+              "               M                      86.34                  8247.09   \n",
+              "\n",
+              "                       Total Claim Amount  \n",
+              "Policy Type    Gender                      \n",
+              "Corporate Auto F                   433.74  \n",
+              "               M                   408.58  \n",
+              "Personal Auto  F                   452.97  \n",
+              "               M                   457.01  \n",
+              "Special Auto   F                   453.28  \n",
+              "               M                   429.53  "
+            ]
+          },
+          "execution_count": 5,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "summary = yes_df.groupby(['Policy Type', 'Gender'])[\n",
+        "    ['Monthly Premium Auto', 'Customer Lifetime Value', 'Total Claim Amount']\n",
+        "].mean().round(2)\n",
+        "\n",
+        "summary\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "id": "c80b6891",
+      "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>State</th>\n",
+              "      <th>Customer_Count</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>California</td>\n",
+              "      <td>3552</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Oregon</td>\n",
+              "      <td>2909</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Arizona</td>\n",
+              "      <td>1937</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Nevada</td>\n",
+              "      <td>993</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Washington</td>\n",
+              "      <td>888</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "        State  Customer_Count\n",
+              "0  California            3552\n",
+              "1      Oregon            2909\n",
+              "2     Arizona            1937\n",
+              "3      Nevada             993\n",
+              "4  Washington             888"
+            ]
+          },
+          "execution_count": 6,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "state_counts = df['State'].value_counts().reset_index()\n",
+        "state_counts.columns = ['State', 'Customer_Count']\n",
+        "state_counts.head()\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 7,
+      "id": "5ab6a288",
+      "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>State</th>\n",
+              "      <th>Customer_Count</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>California</td>\n",
+              "      <td>3552</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Oregon</td>\n",
+              "      <td>2909</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Arizona</td>\n",
+              "      <td>1937</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Nevada</td>\n",
+              "      <td>993</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Washington</td>\n",
+              "      <td>888</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "        State  Customer_Count\n",
+              "0  California            3552\n",
+              "1      Oregon            2909\n",
+              "2     Arizona            1937\n",
+              "3      Nevada             993\n",
+              "4  Washington             888"
+            ]
+          },
+          "execution_count": 7,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "large_states = state_counts[state_counts['Customer_Count'] > 500]\n",
+        "large_states\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 8,
+      "id": "e1e85e0f",
+      "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>Education</th>\n",
+              "      <th>Gender</th>\n",
+              "      <th>min</th>\n",
+              "      <th>median</th>\n",
+              "      <th>max</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Bachelor</td>\n",
+              "      <td>F</td>\n",
+              "      <td>1904.00</td>\n",
+              "      <td>5640.51</td>\n",
+              "      <td>73225.96</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Bachelor</td>\n",
+              "      <td>M</td>\n",
+              "      <td>1898.01</td>\n",
+              "      <td>5548.03</td>\n",
+              "      <td>67907.27</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>College</td>\n",
+              "      <td>F</td>\n",
+              "      <td>1898.68</td>\n",
+              "      <td>5623.61</td>\n",
+              "      <td>61850.19</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>College</td>\n",
+              "      <td>M</td>\n",
+              "      <td>1918.12</td>\n",
+              "      <td>6005.85</td>\n",
+              "      <td>61134.68</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Doctor</td>\n",
+              "      <td>F</td>\n",
+              "      <td>2395.57</td>\n",
+              "      <td>5332.46</td>\n",
+              "      <td>44856.11</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>Doctor</td>\n",
+              "      <td>M</td>\n",
+              "      <td>2267.60</td>\n",
+              "      <td>5577.67</td>\n",
+              "      <td>32677.34</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>High School or Below</td>\n",
+              "      <td>F</td>\n",
+              "      <td>2144.92</td>\n",
+              "      <td>6039.55</td>\n",
+              "      <td>55277.45</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>High School or Below</td>\n",
+              "      <td>M</td>\n",
+              "      <td>1940.98</td>\n",
+              "      <td>6286.73</td>\n",
+              "      <td>83325.38</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>Master</td>\n",
+              "      <td>F</td>\n",
+              "      <td>2417.78</td>\n",
+              "      <td>5729.86</td>\n",
+              "      <td>51016.07</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>Master</td>\n",
+              "      <td>M</td>\n",
+              "      <td>2272.31</td>\n",
+              "      <td>5579.10</td>\n",
+              "      <td>50568.26</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "              Education Gender      min   median       max\n",
+              "0              Bachelor      F  1904.00  5640.51  73225.96\n",
+              "1              Bachelor      M  1898.01  5548.03  67907.27\n",
+              "2               College      F  1898.68  5623.61  61850.19\n",
+              "3               College      M  1918.12  6005.85  61134.68\n",
+              "4                Doctor      F  2395.57  5332.46  44856.11\n",
+              "5                Doctor      M  2267.60  5577.67  32677.34\n",
+              "6  High School or Below      F  2144.92  6039.55  55277.45\n",
+              "7  High School or Below      M  1940.98  6286.73  83325.38\n",
+              "8                Master      F  2417.78  5729.86  51016.07\n",
+              "9                Master      M  2272.31  5579.10  50568.26"
+            ]
+          },
+          "execution_count": 8,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "clv_stats = (\n",
+        "    df.groupby(['Education', 'Gender'])['Customer Lifetime Value']\n",
+        "    .agg(['min', 'median', 'max'])\n",
+        "    .round(2)\n",
+        "    .reset_index()\n",
+        ")\n",
+        "\n",
+        "clv_stats\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 9,
+      "id": "3efed35c",
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "C:\\Users\\prodd\\AppData\\Local\\Temp\\ipykernel_19776\\1059259904.py:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
+            "  df['Effective To Date'] = pd.to_datetime(df['Effective To Date'])\n"
+          ]
+        }
+      ],
+      "source": [
+        "df['Effective To Date'] = pd.to_datetime(df['Effective To Date'])\n",
+        "df['Month'] = df['Effective To Date'].dt.month_name()\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 10,
+      "id": "fcbd5908",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "policy_table = pd.pivot_table(\n",
+        "    df,\n",
+        "    values='Customer Lifetime Value',   # any column works, we just need a count\n",
+        "    index='State',\n",
+        "    columns='Month',\n",
+        "    aggfunc='count',\n",
+        "    fill_value=0\n",
+        ")\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 11,
+      "id": "6b96b7a6",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "month_order = [\n",
+        "    'January', 'February', 'March', 'April', 'May', 'June',\n",
+        "    'July', 'August', 'September', 'October', 'November', 'December'\n",
+        "]\n",
+        "policy_table = policy_table.reindex(columns=month_order)\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 12,
+      "id": "0b736494",
+      "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>Month</th>\n",
+              "      <th>January</th>\n",
+              "      <th>February</th>\n",
+              "      <th>March</th>\n",
+              "      <th>April</th>\n",
+              "      <th>May</th>\n",
+              "      <th>June</th>\n",
+              "      <th>July</th>\n",
+              "      <th>August</th>\n",
+              "      <th>September</th>\n",
+              "      <th>October</th>\n",
+              "      <th>November</th>\n",
+              "      <th>December</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>State</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>Arizona</th>\n",
+              "      <td>1008</td>\n",
+              "      <td>929</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>California</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>1634</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Nevada</th>\n",
+              "      <td>551</td>\n",
+              "      <td>442</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Oregon</th>\n",
+              "      <td>1565</td>\n",
+              "      <td>1344</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Washington</th>\n",
+              "      <td>463</td>\n",
+              "      <td>425</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "Month       January  February  March  April  May  June  July  August  \\\n",
+              "State                                                                  \n",
+              "Arizona        1008       929    NaN    NaN  NaN   NaN   NaN     NaN   \n",
+              "California     1918      1634    NaN    NaN  NaN   NaN   NaN     NaN   \n",
+              "Nevada          551       442    NaN    NaN  NaN   NaN   NaN     NaN   \n",
+              "Oregon         1565      1344    NaN    NaN  NaN   NaN   NaN     NaN   \n",
+              "Washington      463       425    NaN    NaN  NaN   NaN   NaN     NaN   \n",
+              "\n",
+              "Month       September  October  November  December  \n",
+              "State                                               \n",
+              "Arizona           NaN      NaN       NaN       NaN  \n",
+              "California        NaN      NaN       NaN       NaN  \n",
+              "Nevada            NaN      NaN       NaN       NaN  \n",
+              "Oregon            NaN      NaN       NaN       NaN  \n",
+              "Washington        NaN      NaN       NaN       NaN  "
+            ]
+          },
+          "execution_count": 12,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "policy_table.head()\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 13,
+      "id": "c779a9ac",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "state_month = (\n",
+        "    df.groupby(['State', 'Month'])\n",
+        "    .size()\n",
+        "    .reset_index(name='Policies_Sold')\n",
+        ")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 14,
+      "id": "84095fc2",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "top_states = (\n",
+        "    df['State']\n",
+        "    .value_counts()\n",
+        "    .head(3)\n",
+        "    .index\n",
+        ")\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 15,
+      "id": "b0efa08d",
+      "metadata": {},
       "outputs": [],
       "source": [
-        "# your code goes here"
+        "top_state_data = state_month[state_month['State'].isin(top_states)]\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 19,
+      "id": "429ab106",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "top_state_pivot = top_state_data.pivot_table(\n",
+        "    index='State',\n",
+        "    columns='Month',\n",
+        "    values='Policies_Sold',\n",
+        "    fill_value=0\n",
+        ")\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 20,
+      "id": "b66865e7",
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "month_order = [\n",
+        "    'January', 'February', 'March', 'April', 'May', 'June',\n",
+        "    'July', 'August', 'September', 'October', 'November', 'December'\n",
+        "]\n",
+        "top_state_pivot = top_state_pivot.reindex(columns=month_order)\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 21,
+      "id": "148e5b3a",
+      "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>Month</th>\n",
+              "      <th>January</th>\n",
+              "      <th>February</th>\n",
+              "      <th>March</th>\n",
+              "      <th>April</th>\n",
+              "      <th>May</th>\n",
+              "      <th>June</th>\n",
+              "      <th>July</th>\n",
+              "      <th>August</th>\n",
+              "      <th>September</th>\n",
+              "      <th>October</th>\n",
+              "      <th>November</th>\n",
+              "      <th>December</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>State</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>Arizona</th>\n",
+              "      <td>1008.0</td>\n",
+              "      <td>929.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>California</th>\n",
+              "      <td>1918.0</td>\n",
+              "      <td>1634.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Oregon</th>\n",
+              "      <td>1565.0</td>\n",
+              "      <td>1344.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "Month       January  February  March  April  May  June  July  August  \\\n",
+              "State                                                                  \n",
+              "Arizona      1008.0     929.0    NaN    NaN  NaN   NaN   NaN     NaN   \n",
+              "California   1918.0    1634.0    NaN    NaN  NaN   NaN   NaN     NaN   \n",
+              "Oregon       1565.0    1344.0    NaN    NaN  NaN   NaN   NaN     NaN   \n",
+              "\n",
+              "Month       September  October  November  December  \n",
+              "State                                               \n",
+              "Arizona           NaN      NaN       NaN       NaN  \n",
+              "California        NaN      NaN       NaN       NaN  \n",
+              "Oregon            NaN      NaN       NaN       NaN  "
+            ]
+          },
+          "execution_count": 21,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "top_state_pivot\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 22,
+      "id": "3ec448c2",
+      "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>Response</th>\n",
+              "      <th>Sales Channel</th>\n",
+              "      <th>No</th>\n",
+              "      <th>Yes</th>\n",
+              "      <th>Total_Customers</th>\n",
+              "      <th>Response_Rate_%</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Agent</td>\n",
+              "      <td>3148</td>\n",
+              "      <td>742</td>\n",
+              "      <td>3890</td>\n",
+              "      <td>19.07</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Web</td>\n",
+              "      <td>1334</td>\n",
+              "      <td>177</td>\n",
+              "      <td>1511</td>\n",
+              "      <td>11.71</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Branch</td>\n",
+              "      <td>2539</td>\n",
+              "      <td>326</td>\n",
+              "      <td>2865</td>\n",
+              "      <td>11.38</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Call Center</td>\n",
+              "      <td>1792</td>\n",
+              "      <td>221</td>\n",
+              "      <td>2013</td>\n",
+              "      <td>10.98</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "Response Sales Channel    No  Yes  Total_Customers  Response_Rate_%\n",
+              "0                Agent  3148  742             3890            19.07\n",
+              "3                  Web  1334  177             1511            11.71\n",
+              "1               Branch  2539  326             2865            11.38\n",
+              "2          Call Center  1792  221             2013            10.98"
+            ]
+          },
+          "execution_count": 22,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "response_by_channel = (\n",
+        "    df.groupby('Sales Channel')['Response']\n",
+        "    .value_counts()\n",
+        "    .unstack(fill_value=0)\n",
+        "    .reset_index()\n",
+        ")\n",
+        "\n",
+        "response_by_channel['Total_Customers'] = response_by_channel['Yes'] + response_by_channel['No']\n",
+        "response_by_channel['Response_Rate_%'] = (\n",
+        "    response_by_channel['Yes'] / response_by_channel['Total_Customers'] * 100\n",
+        ").round(2)\n",
+        "\n",
+        "response_by_channel.sort_values('Response_Rate_%', ascending=False)\n"
       ]
     }
   ],
@@ -143,7 +1337,7 @@
       "provenance": []
     },
     "kernelspec": {
-      "display_name": "Python 3 (ipykernel)",
+      "display_name": "base",
       "language": "python",
       "name": "python3"
     },
@@ -157,7 +1351,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.13.5"
     }
   },
   "nbformat": 4,