diff --git a/lab-dw-aggregating.ipynb b/lab-dw-aggregating.ipynb
index fadd718..304ad88 100644
--- a/lab-dw-aggregating.ipynb
+++ b/lab-dw-aggregating.ipynb
@@ -127,14 +127,1189 @@
     },
     {
       "cell_type": "code",
-      "execution_count": null,
+      "execution_count": 2,
+      "id": "c623d287",
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "(10910, 26)\n",
+            "(10910, 26)\n"
+          ]
+        },
+        {
+          "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>0</th>\n",
+              "      <td>0</td>\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>2/18/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>M</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</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>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1</td>\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>1/18/11</td>\n",
+              "      <td>Unemployed</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>Offer4</td>\n",
+              "      <td>Call Center</td>\n",
+              "      <td>744.924331</td>\n",
+              "      <td>Four-Door Car</td>\n",
+              "      <td>Medsize</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>2 rows × 26 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   unnamed:_0 customer       state  customer_lifetime_value response coverage  \\\n",
+              "0           0  DK49336     Arizona              4809.216960       No    Basic   \n",
+              "1           1  KX64629  California              2228.525238       No    Basic   \n",
+              "\n",
+              "  education effective_to_date employmentstatus gender  ...  \\\n",
+              "0   College           2/18/11         Employed      M  ...   \n",
+              "1   College           1/18/11       Unemployed      F  ...   \n",
+              "\n",
+              "   number_of_open_complaints number_of_policies     policy_type        policy  \\\n",
+              "0                        0.0                  9  Corporate Auto  Corporate L3   \n",
+              "1                        0.0                  1   Personal Auto   Personal L3   \n",
+              "\n",
+              "   renew_offer_type  sales_channel  total_claim_amount  vehicle_class  \\\n",
+              "0            Offer3          Agent          292.800000  Four-Door Car   \n",
+              "1            Offer4    Call Center          744.924331  Four-Door Car   \n",
+              "\n",
+              "  vehicle_size vehicle_type  \n",
+              "0      Medsize          NaN  \n",
+              "1      Medsize          NaN  \n",
+              "\n",
+              "[2 rows x 26 columns]"
+            ]
+          },
+          "execution_count": 2,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "\n",
+        "CSV_PATH = \"https://raw.githubusercontent.com/data-bootcamp-v4/data/main/marketing_customer_analysis.csv\"\n",
+        "df = pd.read_csv(CSV_PATH)\n",
+        "\n",
+        "# clean column names\n",
+        "df.columns = (df.columns.str.strip()\n",
+        "                        .str.lower()\n",
+        "                        .str.replace(\" \", \"_\")\n",
+        "                        .str.replace(\"-\", \"_\"))\n",
+        "print(df.shape)\n",
+        "df.head()\n",
+        "\n",
+        "df.columns = (df.columns.str.strip()\n",
+        "                        .str.lower()\n",
+        "                        .str.replace(\" \", \"_\")\n",
+        "                        .str.replace(\"-\", \"_\"))\n",
+        "\n",
+        "print(df.shape)\n",
+        "df.head(2)\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "id": "6840b954",
+      "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": [
+        "# customers with claim <1000 and responded Yes\n",
+        "low_claim_yes = df[(df[\"total_claim_amount\"] < 1000) & (df[\"response\"] == \"Yes\")]\n",
+        "low_claim_yes.head()\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 4,
+      "id": "ec5077d1",
+      "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",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>policy_type</th>\n",
+              "      <th>gender</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>91.384615</td>\n",
+              "      <td>7980.306825</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>94.764249</td>\n",
+              "      <td>7750.741082</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Personal Auto</th>\n",
+              "      <th>F</th>\n",
+              "      <td>93.153179</td>\n",
+              "      <td>8074.660516</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>93.301056</td>\n",
+              "      <td>7971.386285</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Special Auto</th>\n",
+              "      <th>F</th>\n",
+              "      <td>93.563025</td>\n",
+              "      <td>8460.398042</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>93.197044</td>\n",
+              "      <td>9010.601583</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                  91.384615              7980.306825\n",
+              "               M                  94.764249              7750.741082\n",
+              "Personal Auto  F                  93.153179              8074.660516\n",
+              "               M                  93.301056              7971.386285\n",
+              "Special Auto   F                  93.563025              8460.398042\n",
+              "               M                  93.197044              9010.601583"
+            ]
+          },
+          "execution_count": 4,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "# group by policy_type + gender and take mean\n",
+        "analysis = df.groupby([\"policy_type\", \"gender\"])[[\"monthly_premium_auto\", \"customer_lifetime_value\"]].mean()\n",
+        "analysis\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 5,
+      "id": "90e9ac6d",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "state\n",
+              "California    3552\n",
+              "Oregon        2909\n",
+              "Arizona       1937\n",
+              "Nevada         993\n",
+              "Washington     888\n",
+              "Name: count, dtype: int64"
+            ]
+          },
+          "execution_count": 5,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "# count customers per state\n",
+        "state_counts = df[\"state\"].value_counts()\n",
+        "big_states = state_counts[state_counts > 500]\n",
+        "big_states\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "id": "e73095c5",
+      "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>max</th>\n",
+              "      <th>min</th>\n",
+              "      <th>median</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>education</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\">Bachelor</th>\n",
+              "      <th>F</th>\n",
+              "      <td>73225.95652</td>\n",
+              "      <td>1904.000852</td>\n",
+              "      <td>5640.505303</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>67907.27050</td>\n",
+              "      <td>1898.007675</td>\n",
+              "      <td>5548.031892</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">College</th>\n",
+              "      <th>F</th>\n",
+              "      <td>61850.18803</td>\n",
+              "      <td>1898.683686</td>\n",
+              "      <td>5623.611187</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>61134.68307</td>\n",
+              "      <td>1918.119700</td>\n",
+              "      <td>6005.847375</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Doctor</th>\n",
+              "      <th>F</th>\n",
+              "      <td>44856.11397</td>\n",
+              "      <td>2395.570000</td>\n",
+              "      <td>5332.462694</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>32677.34284</td>\n",
+              "      <td>2267.604038</td>\n",
+              "      <td>5577.669457</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">High School or Below</th>\n",
+              "      <th>F</th>\n",
+              "      <td>55277.44589</td>\n",
+              "      <td>2144.921535</td>\n",
+              "      <td>6039.553187</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>83325.38119</td>\n",
+              "      <td>1940.981221</td>\n",
+              "      <td>6286.731006</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Master</th>\n",
+              "      <th>F</th>\n",
+              "      <td>51016.06704</td>\n",
+              "      <td>2417.777032</td>\n",
+              "      <td>5729.855012</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>50568.25912</td>\n",
+              "      <td>2272.307310</td>\n",
+              "      <td>5579.099207</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                                     max          min       median\n",
+              "education            gender                                       \n",
+              "Bachelor             F       73225.95652  1904.000852  5640.505303\n",
+              "                     M       67907.27050  1898.007675  5548.031892\n",
+              "College              F       61850.18803  1898.683686  5623.611187\n",
+              "                     M       61134.68307  1918.119700  6005.847375\n",
+              "Doctor               F       44856.11397  2395.570000  5332.462694\n",
+              "                     M       32677.34284  2267.604038  5577.669457\n",
+              "High School or Below F       55277.44589  2144.921535  6039.553187\n",
+              "                     M       83325.38119  1940.981221  6286.731006\n",
+              "Master               F       51016.06704  2417.777032  5729.855012\n",
+              "                     M       50568.25912  2272.307310  5579.099207"
+            ]
+          },
+          "execution_count": 6,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "# max, min, median CLV grouped by education + gender\n",
+        "clv_stats = df.groupby([\"education\", \"gender\"])[\"customer_lifetime_value\"].agg([\"max\", \"min\", \"median\"])\n",
+        "clv_stats\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 7,
+      "id": "d68d573b",
+      "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>effective_to_date</th>\n",
+              "      <th>1/1/11</th>\n",
+              "      <th>1/10/11</th>\n",
+              "      <th>1/11/11</th>\n",
+              "      <th>1/12/11</th>\n",
+              "      <th>1/13/11</th>\n",
+              "      <th>1/14/11</th>\n",
+              "      <th>1/15/11</th>\n",
+              "      <th>1/16/11</th>\n",
+              "      <th>1/17/11</th>\n",
+              "      <th>1/18/11</th>\n",
+              "      <th>...</th>\n",
+              "      <th>2/26/11</th>\n",
+              "      <th>2/27/11</th>\n",
+              "      <th>2/28/11</th>\n",
+              "      <th>2/3/11</th>\n",
+              "      <th>2/4/11</th>\n",
+              "      <th>2/5/11</th>\n",
+              "      <th>2/6/11</th>\n",
+              "      <th>2/7/11</th>\n",
+              "      <th>2/8/11</th>\n",
+              "      <th>2/9/11</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",
+              "      <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>35</td>\n",
+              "      <td>34</td>\n",
+              "      <td>35</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>36</td>\n",
+              "      <td>29</td>\n",
+              "      <td>33</td>\n",
+              "      <td>35</td>\n",
+              "      <td>37</td>\n",
+              "      <td>...</td>\n",
+              "      <td>40</td>\n",
+              "      <td>40</td>\n",
+              "      <td>29</td>\n",
+              "      <td>49</td>\n",
+              "      <td>48</td>\n",
+              "      <td>42</td>\n",
+              "      <td>23</td>\n",
+              "      <td>30</td>\n",
+              "      <td>41</td>\n",
+              "      <td>37</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>California</th>\n",
+              "      <td>56</td>\n",
+              "      <td>72</td>\n",
+              "      <td>81</td>\n",
+              "      <td>49</td>\n",
+              "      <td>55</td>\n",
+              "      <td>57</td>\n",
+              "      <td>54</td>\n",
+              "      <td>66</td>\n",
+              "      <td>60</td>\n",
+              "      <td>59</td>\n",
+              "      <td>...</td>\n",
+              "      <td>61</td>\n",
+              "      <td>64</td>\n",
+              "      <td>49</td>\n",
+              "      <td>62</td>\n",
+              "      <td>57</td>\n",
+              "      <td>55</td>\n",
+              "      <td>62</td>\n",
+              "      <td>76</td>\n",
+              "      <td>39</td>\n",
+              "      <td>59</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Nevada</th>\n",
+              "      <td>13</td>\n",
+              "      <td>25</td>\n",
+              "      <td>19</td>\n",
+              "      <td>12</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>18</td>\n",
+              "      <td>10</td>\n",
+              "      <td>14</td>\n",
+              "      <td>18</td>\n",
+              "      <td>...</td>\n",
+              "      <td>11</td>\n",
+              "      <td>20</td>\n",
+              "      <td>19</td>\n",
+              "      <td>23</td>\n",
+              "      <td>17</td>\n",
+              "      <td>5</td>\n",
+              "      <td>15</td>\n",
+              "      <td>11</td>\n",
+              "      <td>18</td>\n",
+              "      <td>14</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Oregon</th>\n",
+              "      <td>42</td>\n",
+              "      <td>70</td>\n",
+              "      <td>41</td>\n",
+              "      <td>36</td>\n",
+              "      <td>39</td>\n",
+              "      <td>54</td>\n",
+              "      <td>51</td>\n",
+              "      <td>44</td>\n",
+              "      <td>77</td>\n",
+              "      <td>45</td>\n",
+              "      <td>...</td>\n",
+              "      <td>59</td>\n",
+              "      <td>55</td>\n",
+              "      <td>64</td>\n",
+              "      <td>37</td>\n",
+              "      <td>54</td>\n",
+              "      <td>47</td>\n",
+              "      <td>43</td>\n",
+              "      <td>55</td>\n",
+              "      <td>35</td>\n",
+              "      <td>34</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Washington</th>\n",
+              "      <td>18</td>\n",
+              "      <td>21</td>\n",
+              "      <td>9</td>\n",
+              "      <td>12</td>\n",
+              "      <td>13</td>\n",
+              "      <td>11</td>\n",
+              "      <td>15</td>\n",
+              "      <td>11</td>\n",
+              "      <td>23</td>\n",
+              "      <td>13</td>\n",
+              "      <td>...</td>\n",
+              "      <td>15</td>\n",
+              "      <td>15</td>\n",
+              "      <td>17</td>\n",
+              "      <td>12</td>\n",
+              "      <td>11</td>\n",
+              "      <td>18</td>\n",
+              "      <td>21</td>\n",
+              "      <td>10</td>\n",
+              "      <td>14</td>\n",
+              "      <td>16</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>5 rows × 59 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "effective_to_date  1/1/11  1/10/11  1/11/11  1/12/11  1/13/11  1/14/11  \\\n",
+              "state                                                                    \n",
+              "Arizona                35       34       35       32       35       36   \n",
+              "California             56       72       81       49       55       57   \n",
+              "Nevada                 13       25       19       12       20       10   \n",
+              "Oregon                 42       70       41       36       39       54   \n",
+              "Washington             18       21        9       12       13       11   \n",
+              "\n",
+              "effective_to_date  1/15/11  1/16/11  1/17/11  1/18/11  ...  2/26/11  2/27/11  \\\n",
+              "state                                                  ...                     \n",
+              "Arizona                 29       33       35       37  ...       40       40   \n",
+              "California              54       66       60       59  ...       61       64   \n",
+              "Nevada                  18       10       14       18  ...       11       20   \n",
+              "Oregon                  51       44       77       45  ...       59       55   \n",
+              "Washington              15       11       23       13  ...       15       15   \n",
+              "\n",
+              "effective_to_date  2/28/11  2/3/11  2/4/11  2/5/11  2/6/11  2/7/11  2/8/11  \\\n",
+              "state                                                                        \n",
+              "Arizona                 29      49      48      42      23      30      41   \n",
+              "California              49      62      57      55      62      76      39   \n",
+              "Nevada                  19      23      17       5      15      11      18   \n",
+              "Oregon                  64      37      54      47      43      55      35   \n",
+              "Washington              17      12      11      18      21      10      14   \n",
+              "\n",
+              "effective_to_date  2/9/11  \n",
+              "state                      \n",
+              "Arizona                37  \n",
+              "California             59  \n",
+              "Nevada                 14  \n",
+              "Oregon                 34  \n",
+              "Washington             16  \n",
+              "\n",
+              "[5 rows x 59 columns]"
+            ]
+          },
+          "execution_count": 7,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "# group by state + month (effective_to_date), pivot table\n",
+        "policies_by_state_month = df.groupby([\"state\", \"effective_to_date\"]).size().unstack(fill_value=0)\n",
+        "policies_by_state_month.head()\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 8,
+      "id": "752f7ee1",
+      "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>effective_to_date</th>\n",
+              "      <th>1/1/11</th>\n",
+              "      <th>1/10/11</th>\n",
+              "      <th>1/11/11</th>\n",
+              "      <th>1/12/11</th>\n",
+              "      <th>1/13/11</th>\n",
+              "      <th>1/14/11</th>\n",
+              "      <th>1/15/11</th>\n",
+              "      <th>1/16/11</th>\n",
+              "      <th>1/17/11</th>\n",
+              "      <th>1/18/11</th>\n",
+              "      <th>...</th>\n",
+              "      <th>2/26/11</th>\n",
+              "      <th>2/27/11</th>\n",
+              "      <th>2/28/11</th>\n",
+              "      <th>2/3/11</th>\n",
+              "      <th>2/4/11</th>\n",
+              "      <th>2/5/11</th>\n",
+              "      <th>2/6/11</th>\n",
+              "      <th>2/7/11</th>\n",
+              "      <th>2/8/11</th>\n",
+              "      <th>2/9/11</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",
+              "      <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>35</td>\n",
+              "      <td>34</td>\n",
+              "      <td>35</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>36</td>\n",
+              "      <td>29</td>\n",
+              "      <td>33</td>\n",
+              "      <td>35</td>\n",
+              "      <td>37</td>\n",
+              "      <td>...</td>\n",
+              "      <td>40</td>\n",
+              "      <td>40</td>\n",
+              "      <td>29</td>\n",
+              "      <td>49</td>\n",
+              "      <td>48</td>\n",
+              "      <td>42</td>\n",
+              "      <td>23</td>\n",
+              "      <td>30</td>\n",
+              "      <td>41</td>\n",
+              "      <td>37</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>California</th>\n",
+              "      <td>56</td>\n",
+              "      <td>72</td>\n",
+              "      <td>81</td>\n",
+              "      <td>49</td>\n",
+              "      <td>55</td>\n",
+              "      <td>57</td>\n",
+              "      <td>54</td>\n",
+              "      <td>66</td>\n",
+              "      <td>60</td>\n",
+              "      <td>59</td>\n",
+              "      <td>...</td>\n",
+              "      <td>61</td>\n",
+              "      <td>64</td>\n",
+              "      <td>49</td>\n",
+              "      <td>62</td>\n",
+              "      <td>57</td>\n",
+              "      <td>55</td>\n",
+              "      <td>62</td>\n",
+              "      <td>76</td>\n",
+              "      <td>39</td>\n",
+              "      <td>59</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Oregon</th>\n",
+              "      <td>42</td>\n",
+              "      <td>70</td>\n",
+              "      <td>41</td>\n",
+              "      <td>36</td>\n",
+              "      <td>39</td>\n",
+              "      <td>54</td>\n",
+              "      <td>51</td>\n",
+              "      <td>44</td>\n",
+              "      <td>77</td>\n",
+              "      <td>45</td>\n",
+              "      <td>...</td>\n",
+              "      <td>59</td>\n",
+              "      <td>55</td>\n",
+              "      <td>64</td>\n",
+              "      <td>37</td>\n",
+              "      <td>54</td>\n",
+              "      <td>47</td>\n",
+              "      <td>43</td>\n",
+              "      <td>55</td>\n",
+              "      <td>35</td>\n",
+              "      <td>34</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>3 rows × 59 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "effective_to_date  1/1/11  1/10/11  1/11/11  1/12/11  1/13/11  1/14/11  \\\n",
+              "state                                                                    \n",
+              "Arizona                35       34       35       32       35       36   \n",
+              "California             56       72       81       49       55       57   \n",
+              "Oregon                 42       70       41       36       39       54   \n",
+              "\n",
+              "effective_to_date  1/15/11  1/16/11  1/17/11  1/18/11  ...  2/26/11  2/27/11  \\\n",
+              "state                                                  ...                     \n",
+              "Arizona                 29       33       35       37  ...       40       40   \n",
+              "California              54       66       60       59  ...       61       64   \n",
+              "Oregon                  51       44       77       45  ...       59       55   \n",
+              "\n",
+              "effective_to_date  2/28/11  2/3/11  2/4/11  2/5/11  2/6/11  2/7/11  2/8/11  \\\n",
+              "state                                                                        \n",
+              "Arizona                 29      49      48      42      23      30      41   \n",
+              "California              49      62      57      55      62      76      39   \n",
+              "Oregon                  64      37      54      47      43      55      35   \n",
+              "\n",
+              "effective_to_date  2/9/11  \n",
+              "state                      \n",
+              "Arizona                37  \n",
+              "California             59  \n",
+              "Oregon                 34  \n",
+              "\n",
+              "[3 rows x 59 columns]"
+            ]
+          },
+          "execution_count": 8,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "# find top 3 states with most policies\n",
+        "top_states = df[\"state\"].value_counts().head(3).index\n",
+        "top3 = df[df[\"state\"].isin(top_states)]\n",
+        "top3_table = top3.groupby([\"state\", \"effective_to_date\"]).size().unstack(fill_value=0)\n",
+        "top3_table\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 9,
       "id": "449513f4-0459-46a0-a18d-9398d974c9ad",
       "metadata": {
         "id": "449513f4-0459-46a0-a18d-9398d974c9ad"
       },
-      "outputs": [],
+      "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>vehicle_class</th>\n",
+              "      <th>Four-Door Car</th>\n",
+              "      <th>Luxury Car</th>\n",
+              "      <th>Luxury SUV</th>\n",
+              "      <th>SUV</th>\n",
+              "      <th>Sports Car</th>\n",
+              "      <th>Two-Door Car</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>response</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>No</th>\n",
+              "      <td>0.865757</td>\n",
+              "      <td>0.931429</td>\n",
+              "      <td>0.836735</td>\n",
+              "      <td>0.838676</td>\n",
+              "      <td>0.815739</td>\n",
+              "      <td>0.861895</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Yes</th>\n",
+              "      <td>0.134243</td>\n",
+              "      <td>0.068571</td>\n",
+              "      <td>0.163265</td>\n",
+              "      <td>0.161324</td>\n",
+              "      <td>0.184261</td>\n",
+              "      <td>0.138105</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "vehicle_class  Four-Door Car  Luxury Car  Luxury SUV       SUV  Sports Car  \\\n",
+              "response                                                                     \n",
+              "No                  0.865757    0.931429    0.836735  0.838676    0.815739   \n",
+              "Yes                 0.134243    0.068571    0.163265  0.161324    0.184261   \n",
+              "\n",
+              "vehicle_class  Two-Door Car  \n",
+              "response                     \n",
+              "No                 0.861895  \n",
+              "Yes                0.138105  "
+            ]
+          },
+          "execution_count": 9,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
       "source": [
-        "# your code goes here"
+        "# response rate by channel\n",
+        "channel_response = pd.crosstab(df[\"response\"], df[\"vehicle_class\"], normalize=\"columns\")\n",
+        "channel_response\n"
       ]
     }
   ],
@@ -143,7 +1318,7 @@
       "provenance": []
     },
     "kernelspec": {
-      "display_name": "Python 3 (ipykernel)",
+      "display_name": "Python 3",
       "language": "python",
       "name": "python3"
     },
@@ -157,7 +1332,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.11.3"
     }
   },
   "nbformat": 4,