diff --git a/lab-dw-aggregating.ipynb b/lab-dw-aggregating.ipynb
index fadd718..de0ed24 100644
--- a/lab-dw-aggregating.ipynb
+++ b/lab-dw-aggregating.ipynb
@@ -24,6 +24,243 @@
         "This dataset contains information such as customer demographics, policy details, vehicle information, and the customer's response to the last marketing campaign. Our goal is to explore and analyze this data by first performing data cleaning, formatting, and structuring."
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "id": "a34717ca",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>customer</th>\n",
+              "      <th>state</th>\n",
+              "      <th>customer_lifetime_value</th>\n",
+              "      <th>response</th>\n",
+              "      <th>coverage</th>\n",
+              "      <th>education</th>\n",
+              "      <th>effective_to_date</th>\n",
+              "      <th>employmentstatus</th>\n",
+              "      <th>gender</th>\n",
+              "      <th>income</th>\n",
+              "      <th>...</th>\n",
+              "      <th>number_of_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>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>48029</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>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>0</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",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>LZ68649</td>\n",
+              "      <td>Washington</td>\n",
+              "      <td>14947.917300</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Basic</td>\n",
+              "      <td>Bachelor</td>\n",
+              "      <td>2/10/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>M</td>\n",
+              "      <td>22139</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>Personal Auto</td>\n",
+              "      <td>Personal L3</td>\n",
+              "      <td>Offer3</td>\n",
+              "      <td>Call Center</td>\n",
+              "      <td>480.000000</td>\n",
+              "      <td>SUV</td>\n",
+              "      <td>Medsize</td>\n",
+              "      <td>A</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>XL78013</td>\n",
+              "      <td>Oregon</td>\n",
+              "      <td>22332.439460</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Extended</td>\n",
+              "      <td>College</td>\n",
+              "      <td>1/11/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>M</td>\n",
+              "      <td>49078</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>4</th>\n",
+              "      <td>QA50777</td>\n",
+              "      <td>Oregon</td>\n",
+              "      <td>9025.067525</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Premium</td>\n",
+              "      <td>Bachelor</td>\n",
+              "      <td>1/17/11</td>\n",
+              "      <td>Medical Leave</td>\n",
+              "      <td>F</td>\n",
+              "      <td>23675</td>\n",
+              "      <td>...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>7</td>\n",
+              "      <td>Personal Auto</td>\n",
+              "      <td>Personal L2</td>\n",
+              "      <td>Offer1</td>\n",
+              "      <td>Branch</td>\n",
+              "      <td>707.925645</td>\n",
+              "      <td>Four-Door Car</td>\n",
+              "      <td>Medsize</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>5 rows × 25 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "  customer       state  customer_lifetime_value response  coverage education  \\\n",
+              "0  DK49336     Arizona              4809.216960       No     Basic   College   \n",
+              "1  KX64629  California              2228.525238       No     Basic   College   \n",
+              "2  LZ68649  Washington             14947.917300       No     Basic  Bachelor   \n",
+              "3  XL78013      Oregon             22332.439460      Yes  Extended   College   \n",
+              "4  QA50777      Oregon              9025.067525       No   Premium  Bachelor   \n",
+              "\n",
+              "  effective_to_date employmentstatus gender  income  ...  \\\n",
+              "0           2/18/11         Employed      M   48029  ...   \n",
+              "1           1/18/11       Unemployed      F       0  ...   \n",
+              "2           2/10/11         Employed      M   22139  ...   \n",
+              "3           1/11/11         Employed      M   49078  ...   \n",
+              "4           1/17/11    Medical Leave      F   23675  ...   \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",
+              "2                       0.0                  2   Personal Auto   Personal L3   \n",
+              "3                       0.0                  2  Corporate Auto  Corporate L3   \n",
+              "4                       NaN                  7   Personal Auto   Personal L2   \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",
+              "2            Offer3    Call Center          480.000000            SUV   \n",
+              "3            Offer2         Branch          484.013411  Four-Door Car   \n",
+              "4            Offer1         Branch          707.925645  Four-Door Car   \n",
+              "\n",
+              "  vehicle_size vehicle_type  \n",
+              "0      Medsize          NaN  \n",
+              "1      Medsize          NaN  \n",
+              "2      Medsize            A  \n",
+              "3      Medsize            A  \n",
+              "4      Medsize          NaN  \n",
+              "\n",
+              "[5 rows x 25 columns]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "import numpy as np\n",
+        "import pandas as pd\n",
+        "\n",
+        "df_marketing = pd.read_csv(\"https://raw.githubusercontent.com/data-bootcamp-v4/data/main/marketing_customer_analysis.csv\")\n",
+        "df_marketing.columns = (\n",
+        "    df_marketing.columns\n",
+        "    .str.strip()       # elimina espacios alrededor\n",
+        "    .str.lower()       # convierte a minúsculas\n",
+        "    .str.replace(\" \", \"_\")\n",
+        "    \n",
+        ")\n",
+        "\n",
+        "df_marketing = df_marketing.drop(columns=[\"unnamed:_0\"])\n",
+        "\n",
+        "display(df_marketing.head())"
+      ]
+    },
     {
       "cell_type": "markdown",
       "id": "9c98ddc5-b041-4c94-ada1-4dfee5c98e50",
@@ -36,6 +273,405 @@
         "   - have a response \"Yes\" to the last marketing campaign."
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": 4,
+      "id": "144f1fb5",
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>customer</th>\n",
+              "      <th>state</th>\n",
+              "      <th>customer_lifetime_value</th>\n",
+              "      <th>response</th>\n",
+              "      <th>coverage</th>\n",
+              "      <th>education</th>\n",
+              "      <th>effective_to_date</th>\n",
+              "      <th>employmentstatus</th>\n",
+              "      <th>gender</th>\n",
+              "      <th>income</th>\n",
+              "      <th>...</th>\n",
+              "      <th>number_of_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>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>49078</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>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>66839</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>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>79487</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>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>41479</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>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>63774</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",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10844</th>\n",
+              "      <td>FM31768</td>\n",
+              "      <td>Arizona</td>\n",
+              "      <td>5979.724161</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Extended</td>\n",
+              "      <td>High School or Below</td>\n",
+              "      <td>2/7/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>F</td>\n",
+              "      <td>57693</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>Personal Auto</td>\n",
+              "      <td>Personal L1</td>\n",
+              "      <td>Offer2</td>\n",
+              "      <td>Agent</td>\n",
+              "      <td>547.200000</td>\n",
+              "      <td>Four-Door Car</td>\n",
+              "      <td>Medsize</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10852</th>\n",
+              "      <td>KZ80424</td>\n",
+              "      <td>Washington</td>\n",
+              "      <td>8382.478392</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Basic</td>\n",
+              "      <td>Bachelor</td>\n",
+              "      <td>1/27/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>M</td>\n",
+              "      <td>25998</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>Personal Auto</td>\n",
+              "      <td>Personal L2</td>\n",
+              "      <td>Offer2</td>\n",
+              "      <td>Call Center</td>\n",
+              "      <td>791.878042</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>A</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10872</th>\n",
+              "      <td>XT67997</td>\n",
+              "      <td>California</td>\n",
+              "      <td>5979.724161</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Extended</td>\n",
+              "      <td>High School or Below</td>\n",
+              "      <td>2/7/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>F</td>\n",
+              "      <td>57693</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>Personal Auto</td>\n",
+              "      <td>Personal L3</td>\n",
+              "      <td>Offer2</td>\n",
+              "      <td>Agent</td>\n",
+              "      <td>547.200000</td>\n",
+              "      <td>Four-Door Car</td>\n",
+              "      <td>Medsize</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10887</th>\n",
+              "      <td>BY78730</td>\n",
+              "      <td>Oregon</td>\n",
+              "      <td>8879.790017</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Basic</td>\n",
+              "      <td>High School or Below</td>\n",
+              "      <td>2/3/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>F</td>\n",
+              "      <td>52583</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7</td>\n",
+              "      <td>Special Auto</td>\n",
+              "      <td>Special L2</td>\n",
+              "      <td>Offer1</td>\n",
+              "      <td>Agent</td>\n",
+              "      <td>528.200860</td>\n",
+              "      <td>SUV</td>\n",
+              "      <td>Small</td>\n",
+              "      <td>A</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10897</th>\n",
+              "      <td>MM70762</td>\n",
+              "      <td>Arizona</td>\n",
+              "      <td>9075.768214</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Basic</td>\n",
+              "      <td>Master</td>\n",
+              "      <td>1/26/11</td>\n",
+              "      <td>Employed</td>\n",
+              "      <td>M</td>\n",
+              "      <td>37722</td>\n",
+              "      <td>...</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>Personal Auto</td>\n",
+              "      <td>Personal L1</td>\n",
+              "      <td>Offer1</td>\n",
+              "      <td>Agent</td>\n",
+              "      <td>158.077504</td>\n",
+              "      <td>Sports Car</td>\n",
+              "      <td>Medsize</td>\n",
+              "      <td>A</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>1399 rows × 25 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "      customer       state  customer_lifetime_value response  coverage  \\\n",
+              "3      XL78013      Oregon             22332.439460      Yes  Extended   \n",
+              "8      FM55990  California              5989.773931      Yes   Premium   \n",
+              "15     CW49887  California              4626.801093      Yes     Basic   \n",
+              "19     NJ54277  California              3746.751625      Yes  Extended   \n",
+              "27     MQ68407      Oregon              4376.363592      Yes   Premium   \n",
+              "...        ...         ...                      ...      ...       ...   \n",
+              "10844  FM31768     Arizona              5979.724161      Yes  Extended   \n",
+              "10852  KZ80424  Washington              8382.478392      Yes     Basic   \n",
+              "10872  XT67997  California              5979.724161      Yes  Extended   \n",
+              "10887  BY78730      Oregon              8879.790017      Yes     Basic   \n",
+              "10897  MM70762     Arizona              9075.768214      Yes     Basic   \n",
+              "\n",
+              "                  education effective_to_date employmentstatus gender  income  \\\n",
+              "3                   College           1/11/11         Employed      M   49078   \n",
+              "8                   College           1/19/11         Employed      M   66839   \n",
+              "15                   Master           1/16/11         Employed      F   79487   \n",
+              "19                  College           2/26/11         Employed      F   41479   \n",
+              "27                 Bachelor           2/28/11         Employed      F   63774   \n",
+              "...                     ...               ...              ...    ...     ...   \n",
+              "10844  High School or Below            2/7/11         Employed      F   57693   \n",
+              "10852              Bachelor           1/27/11         Employed      M   25998   \n",
+              "10872  High School or Below            2/7/11         Employed      F   57693   \n",
+              "10887  High School or Below            2/3/11         Employed      F   52583   \n",
+              "10897                Master           1/26/11         Employed      M   37722   \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",
+              "10844  ...                       0.0                  3   Personal Auto   \n",
+              "10852  ...                       0.0                  2   Personal Auto   \n",
+              "10872  ...                       0.0                  3   Personal Auto   \n",
+              "10887  ...                       0.0                  7    Special Auto   \n",
+              "10897  ...                       0.0                  8   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",
+              "10844   Personal L1            Offer2          Agent          547.200000   \n",
+              "10852   Personal L2            Offer2    Call Center          791.878042   \n",
+              "10872   Personal L3            Offer2          Agent          547.200000   \n",
+              "10887    Special L2            Offer1          Agent          528.200860   \n",
+              "10897   Personal L1            Offer1          Agent          158.077504   \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",
+              "10844  Four-Door Car      Medsize          NaN  \n",
+              "10852            NaN          NaN            A  \n",
+              "10872  Four-Door Car      Medsize          NaN  \n",
+              "10887            SUV        Small            A  \n",
+              "10897     Sports Car      Medsize            A  \n",
+              "\n",
+              "[1399 rows x 25 columns]"
+            ]
+          },
+          "execution_count": 4,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "df_low = df_marketing [(df_marketing[\"total_claim_amount\"] < 1000) & (df_marketing[\"response\"] == \"Yes\")]\n",
+        "df_low"
+      ]
+    },
     {
       "cell_type": "markdown",
       "id": "b9be383e-5165-436e-80c8-57d4c757c8c3",
@@ -48,6 +684,115 @@
         "   - compare these insights to `total_claim_amount` patterns, and discuss which segments appear most profitable or low-risk for the company."
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": 8,
+      "id": "19783d79",
+      "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>customer_lifetime_value</th>\n",
+              "      <th>monthly_premium_auto</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>7712.63</td>\n",
+              "      <td>94.30</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>7944.47</td>\n",
+              "      <td>92.19</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Personal Auto</th>\n",
+              "      <th>F</th>\n",
+              "      <td>8339.79</td>\n",
+              "      <td>99.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>7448.38</td>\n",
+              "      <td>91.09</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Special Auto</th>\n",
+              "      <th>F</th>\n",
+              "      <td>7691.58</td>\n",
+              "      <td>92.31</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>8247.09</td>\n",
+              "      <td>86.34</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                       customer_lifetime_value  monthly_premium_auto\n",
+              "policy_type    gender                                               \n",
+              "Corporate Auto F                       7712.63                 94.30\n",
+              "               M                       7944.47                 92.19\n",
+              "Personal Auto  F                       8339.79                 99.00\n",
+              "               M                       7448.38                 91.09\n",
+              "Special Auto   F                       7691.58                 92.31\n",
+              "               M                       8247.09                 86.34"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "\n",
+        "\n",
+        "# Filtrar solo clientes que respondieron \"Yes\"\n",
+        "df_yes = df_marketing[df_marketing[\"response\"] == \"Yes\"]\n",
+        "\n",
+        "# Agrupar por policy_type y gender\n",
+        "pivot_result = (\n",
+        "    df_yes\n",
+        "    .groupby([\"policy_type\", \"gender\"])\n",
+        "    [[\"customer_lifetime_value\", \"monthly_premium_auto\"]]   # usa el nombre real de tu columna premium\n",
+        "    .mean()\n",
+        "    .round(2)\n",
+        ")\n",
+        "\n",
+        "display(pivot_result)\n"
+      ]
+    },
     {
       "cell_type": "markdown",
       "id": "7050f4ac-53c5-4193-a3c0-8699b87196f0",
@@ -58,6 +803,38 @@
         "3. Analyze the total number of customers who have policies in each state, and then filter the results to only include states where there are more than 500 customers."
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": 12,
+      "id": "2f5f7b1b",
+      "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"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "# Contar clientes por estado\n",
+        "state_counts = df_marketing[\"state\"].value_counts()\n",
+        "\n",
+        "# Filtrar solo los que tienen más de 500\n",
+        "state_counts_filtered = state_counts[state_counts > 500]\n",
+        "\n",
+        "display(state_counts_filtered)\n"
+      ]
+    },
     {
       "cell_type": "markdown",
       "id": "b60a4443-a1a7-4bbf-b78e-9ccdf9895e0d",
@@ -68,6 +845,143 @@
         "4. Find the maximum, minimum, and median customer lifetime value by education level and gender. Write your conclusions."
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": 15,
+      "id": "b6ee2716",
+      "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>73225.96</td>\n",
+              "      <td>1904.00</td>\n",
+              "      <td>5640.51</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>67907.27</td>\n",
+              "      <td>1898.01</td>\n",
+              "      <td>5548.03</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">College</th>\n",
+              "      <th>F</th>\n",
+              "      <td>61850.19</td>\n",
+              "      <td>1898.68</td>\n",
+              "      <td>5623.61</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>61134.68</td>\n",
+              "      <td>1918.12</td>\n",
+              "      <td>6005.85</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Doctor</th>\n",
+              "      <th>F</th>\n",
+              "      <td>44856.11</td>\n",
+              "      <td>2395.57</td>\n",
+              "      <td>5332.46</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>32677.34</td>\n",
+              "      <td>2267.60</td>\n",
+              "      <td>5577.67</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">High School or Below</th>\n",
+              "      <th>F</th>\n",
+              "      <td>55277.45</td>\n",
+              "      <td>2144.92</td>\n",
+              "      <td>6039.55</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>83325.38</td>\n",
+              "      <td>1940.98</td>\n",
+              "      <td>6286.73</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">Master</th>\n",
+              "      <th>F</th>\n",
+              "      <td>51016.07</td>\n",
+              "      <td>2417.78</td>\n",
+              "      <td>5729.86</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>M</th>\n",
+              "      <td>50568.26</td>\n",
+              "      <td>2272.31</td>\n",
+              "      <td>5579.10</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                                  max      min   median\n",
+              "education            gender                            \n",
+              "Bachelor             F       73225.96  1904.00  5640.51\n",
+              "                     M       67907.27  1898.01  5548.03\n",
+              "College              F       61850.19  1898.68  5623.61\n",
+              "                     M       61134.68  1918.12  6005.85\n",
+              "Doctor               F       44856.11  2395.57  5332.46\n",
+              "                     M       32677.34  2267.60  5577.67\n",
+              "High School or Below F       55277.45  2144.92  6039.55\n",
+              "                     M       83325.38  1940.98  6286.73\n",
+              "Master               F       51016.07  2417.78  5729.86\n",
+              "                     M       50568.26  2272.31  5579.10"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "clv_stats = (\n",
+        "    df_marketing.groupby([\"education\", \"gender\"])[\"customer_lifetime_value\"].agg([\"max\", \"min\", \"median\"]).round(2)\n",
+        ")\n",
+        "\n",
+        "display(clv_stats)\n"
+      ]
+    },
     {
       "cell_type": "markdown",
       "id": "b42999f9-311f-481e-ae63-40a5577072c5",
@@ -143,7 +1057,7 @@
       "provenance": []
     },
     "kernelspec": {
-      "display_name": "Python 3 (ipykernel)",
+      "display_name": "Python 3",
       "language": "python",
       "name": "python3"
     },
@@ -157,7 +1071,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.9.13"
+      "version": "3.13.7"
     }
   },
   "nbformat": 4,