diff --git "a/Dise\303\261oExperimentos/Proyecto_Final/Dise\303\261o_Trabajo_Final_NMM.ipynb" "b/Dise\303\261oExperimentos/Proyecto_Final/Dise\303\261o_Trabajo_Final_NMM.ipynb"
new file mode 100644
index 0000000000000000000000000000000000000000..bbec4f3ec0e1209937a91882748bbfa6ec0b4890
--- /dev/null
+++ "b/Dise\303\261oExperimentos/Proyecto_Final/Dise\303\261o_Trabajo_Final_NMM.ipynb"
@@ -0,0 +1,859 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Cáncer de cuello uterino en Colombia: Análisis Estadístico"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import PyPDF2\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf = open('Colombia_profile.pdf', 'rb')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdfReader = PyPDF2.PdfReader(pdf)\n",
+    "\n",
+    "bucaramanga = pdfReader.pages[5].extract_text()\n",
+    "cali = pdfReader.pages[13].extract_text()\n",
+    "manizales = pdfReader.pages[21].extract_text()\n",
+    "pasto = pdfReader.pages[29].extract_text()\n",
+    "COL = pdfReader.pages[37].extract_text()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pdf.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "col_data = COL.split('\\n')[30].split(\" \")\n",
+    "buc_data = bucaramanga.split('\\n')[30].split(\" \")\n",
+    "cal_data = cali.split('\\n')[30].split(\" \")\n",
+    "man_data = manizales.split('\\n')[31].split(\" \")\n",
+    "pas_data = pasto.split('\\n')[30].split(\" \")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "col_data = [float(i) for i in [col_data[0][5::]] + [col_data[1]] + col_data[7:19]]\n",
+    "buc_data = [float(i) for i in [buc_data[0][5::]] + [buc_data[1]] + buc_data[7:19]]\n",
+    "cal_data = [float(i) for i in [cal_data[0][5::]] + [cal_data[1]] + cal_data[7:19]]\n",
+    "man_data = [float(i) for i in [man_data[0][5::]] + [man_data[1]] + man_data[7:19]]\n",
+    "pas_data = [float(i) for i in [pas_data[0][5::]] + [pas_data[1]] + pas_data[7:19]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame({'Bucaramanga':buc_data,'Cali':cal_data,'Manizales':man_data,'Pasto':pas_data,\n",
+    "             'Colombia': col_data}, index=['Total','Desconocido','20-24',\n",
+    "                        '25-29',' 30-34',' 35-39', '40-44','45-49' ,'50-54', '55-59',\n",
+    "                        '60-64', '65-69', '70-74', '>75'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Incidencia por cada 100.000 mujeres**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "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>Bucaramanga</th>\n",
+       "      <th>Cali</th>\n",
+       "      <th>Manizales</th>\n",
+       "      <th>Pasto</th>\n",
+       "      <th>Colombia</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Total</th>\n",
+       "      <td>482.0</td>\n",
+       "      <td>1181.0</td>\n",
+       "      <td>225.0</td>\n",
+       "      <td>271.0</td>\n",
+       "      <td>2159.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Desconocido</th>\n",
+       "      <td>4.0</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20-24</th>\n",
+       "      <td>7.2</td>\n",
+       "      <td>8.1</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>8.2</td>\n",
+       "      <td>8.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25-29</th>\n",
+       "      <td>21.8</td>\n",
+       "      <td>20.3</td>\n",
+       "      <td>31.2</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>21.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30-34</th>\n",
+       "      <td>25.3</td>\n",
+       "      <td>29.9</td>\n",
+       "      <td>26.4</td>\n",
+       "      <td>34.9</td>\n",
+       "      <td>28.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35-39</th>\n",
+       "      <td>26.2</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>35.4</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>32.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40-44</th>\n",
+       "      <td>35.2</td>\n",
+       "      <td>49.1</td>\n",
+       "      <td>35.1</td>\n",
+       "      <td>71.2</td>\n",
+       "      <td>45.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45-49</th>\n",
+       "      <td>35.3</td>\n",
+       "      <td>49.4</td>\n",
+       "      <td>32.7</td>\n",
+       "      <td>69.6</td>\n",
+       "      <td>45.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50-54</th>\n",
+       "      <td>42.0</td>\n",
+       "      <td>48.3</td>\n",
+       "      <td>62.3</td>\n",
+       "      <td>71.9</td>\n",
+       "      <td>50.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55-59</th>\n",
+       "      <td>60.7</td>\n",
+       "      <td>50.3</td>\n",
+       "      <td>58.9</td>\n",
+       "      <td>77.7</td>\n",
+       "      <td>56.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60-64</th>\n",
+       "      <td>52.3</td>\n",
+       "      <td>75.5</td>\n",
+       "      <td>64.3</td>\n",
+       "      <td>110.1</td>\n",
+       "      <td>71.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65-69</th>\n",
+       "      <td>69.9</td>\n",
+       "      <td>61.4</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>101.9</td>\n",
+       "      <td>68.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70-74</th>\n",
+       "      <td>56.7</td>\n",
+       "      <td>66.2</td>\n",
+       "      <td>52.9</td>\n",
+       "      <td>94.8</td>\n",
+       "      <td>64.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>&gt;75</th>\n",
+       "      <td>18.1</td>\n",
+       "      <td>21.9</td>\n",
+       "      <td>22.7</td>\n",
+       "      <td>27.2</td>\n",
+       "      <td>21.5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Bucaramanga    Cali  Manizales  Pasto  Colombia\n",
+       "Total              482.0  1181.0      225.0  271.0    2159.0\n",
+       "Desconocido          4.0    30.0        0.0    0.0      34.0\n",
+       "20-24                7.2     8.1       11.0    8.2       8.2\n",
+       "25-29               21.8    20.3       31.2   20.5      21.7\n",
+       " 30-34              25.3    29.9       26.4   34.9      28.9\n",
+       " 35-39              26.2    33.0       35.4   39.6      32.1\n",
+       "40-44               35.2    49.1       35.1   71.2      45.9\n",
+       "45-49               35.3    49.4       32.7   69.6      45.7\n",
+       "50-54               42.0    48.3       62.3   71.9      50.5\n",
+       "55-59               60.7    50.3       58.9   77.7      56.6\n",
+       "60-64               52.3    75.5       64.3  110.1      71.4\n",
+       "65-69               69.9    61.4       67.0  101.9      68.1\n",
+       "70-74               56.7    66.2       52.9   94.8      64.6\n",
+       ">75                 18.1    21.9       22.7   27.2      21.5"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Ciudad</th>\n",
+       "      <th>Edades</th>\n",
+       "      <th>Incidencia</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>20-24</td>\n",
+       "      <td>7.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>25-29</td>\n",
+       "      <td>21.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>30-34</td>\n",
+       "      <td>25.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>35-39</td>\n",
+       "      <td>26.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>40-44</td>\n",
+       "      <td>35.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>45-49</td>\n",
+       "      <td>35.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>50-54</td>\n",
+       "      <td>42.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>55-59</td>\n",
+       "      <td>60.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>60-64</td>\n",
+       "      <td>52.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>65-69</td>\n",
+       "      <td>69.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>70-74</td>\n",
+       "      <td>56.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>Bucaramanga</td>\n",
+       "      <td>&gt;75</td>\n",
+       "      <td>18.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>20-24</td>\n",
+       "      <td>8.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>25-29</td>\n",
+       "      <td>20.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>30-34</td>\n",
+       "      <td>29.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>35-39</td>\n",
+       "      <td>33.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>40-44</td>\n",
+       "      <td>49.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>45-49</td>\n",
+       "      <td>49.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>50-54</td>\n",
+       "      <td>48.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>55-59</td>\n",
+       "      <td>50.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>60-64</td>\n",
+       "      <td>75.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>65-69</td>\n",
+       "      <td>61.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>70-74</td>\n",
+       "      <td>66.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>Cali</td>\n",
+       "      <td>&gt;75</td>\n",
+       "      <td>21.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>20-24</td>\n",
+       "      <td>11.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>25-29</td>\n",
+       "      <td>31.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>30-34</td>\n",
+       "      <td>26.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>35-39</td>\n",
+       "      <td>35.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>40-44</td>\n",
+       "      <td>35.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>45-49</td>\n",
+       "      <td>32.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>50-54</td>\n",
+       "      <td>62.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>55-59</td>\n",
+       "      <td>58.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>32</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>60-64</td>\n",
+       "      <td>64.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>65-69</td>\n",
+       "      <td>67.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>70-74</td>\n",
+       "      <td>52.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>Manizales</td>\n",
+       "      <td>&gt;75</td>\n",
+       "      <td>22.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>36</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>20-24</td>\n",
+       "      <td>8.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>25-29</td>\n",
+       "      <td>20.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>30-34</td>\n",
+       "      <td>34.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>35-39</td>\n",
+       "      <td>39.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>40-44</td>\n",
+       "      <td>71.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>45-49</td>\n",
+       "      <td>69.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>50-54</td>\n",
+       "      <td>71.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>55-59</td>\n",
+       "      <td>77.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>60-64</td>\n",
+       "      <td>110.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>65-69</td>\n",
+       "      <td>101.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>46</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>70-74</td>\n",
+       "      <td>94.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>Pasto</td>\n",
+       "      <td>&gt;75</td>\n",
+       "      <td>27.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>20-24</td>\n",
+       "      <td>8.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>25-29</td>\n",
+       "      <td>21.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>30-34</td>\n",
+       "      <td>28.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>35-39</td>\n",
+       "      <td>32.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>52</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>40-44</td>\n",
+       "      <td>45.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>45-49</td>\n",
+       "      <td>45.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>50-54</td>\n",
+       "      <td>50.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>55-59</td>\n",
+       "      <td>56.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>56</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>60-64</td>\n",
+       "      <td>71.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>65-69</td>\n",
+       "      <td>68.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>58</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>70-74</td>\n",
+       "      <td>64.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>59</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>&gt;75</td>\n",
+       "      <td>21.5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Ciudad  Edades  Incidencia\n",
+       "0   Bucaramanga   20-24         7.2\n",
+       "1   Bucaramanga   25-29        21.8\n",
+       "2   Bucaramanga   30-34        25.3\n",
+       "3   Bucaramanga   35-39        26.2\n",
+       "4   Bucaramanga   40-44        35.2\n",
+       "5   Bucaramanga   45-49        35.3\n",
+       "6   Bucaramanga   50-54        42.0\n",
+       "7   Bucaramanga   55-59        60.7\n",
+       "8   Bucaramanga   60-64        52.3\n",
+       "9   Bucaramanga   65-69        69.9\n",
+       "10  Bucaramanga   70-74        56.7\n",
+       "11  Bucaramanga     >75        18.1\n",
+       "12         Cali   20-24         8.1\n",
+       "13         Cali   25-29        20.3\n",
+       "14         Cali   30-34        29.9\n",
+       "15         Cali   35-39        33.0\n",
+       "16         Cali   40-44        49.1\n",
+       "17         Cali   45-49        49.4\n",
+       "18         Cali   50-54        48.3\n",
+       "19         Cali   55-59        50.3\n",
+       "20         Cali   60-64        75.5\n",
+       "21         Cali   65-69        61.4\n",
+       "22         Cali   70-74        66.2\n",
+       "23         Cali     >75        21.9\n",
+       "24    Manizales   20-24        11.0\n",
+       "25    Manizales   25-29        31.2\n",
+       "26    Manizales   30-34        26.4\n",
+       "27    Manizales   35-39        35.4\n",
+       "28    Manizales   40-44        35.1\n",
+       "29    Manizales   45-49        32.7\n",
+       "30    Manizales   50-54        62.3\n",
+       "31    Manizales   55-59        58.9\n",
+       "32    Manizales   60-64        64.3\n",
+       "33    Manizales   65-69        67.0\n",
+       "34    Manizales   70-74        52.9\n",
+       "35    Manizales     >75        22.7\n",
+       "36        Pasto   20-24         8.2\n",
+       "37        Pasto   25-29        20.5\n",
+       "38        Pasto   30-34        34.9\n",
+       "39        Pasto   35-39        39.6\n",
+       "40        Pasto   40-44        71.2\n",
+       "41        Pasto   45-49        69.6\n",
+       "42        Pasto   50-54        71.9\n",
+       "43        Pasto   55-59        77.7\n",
+       "44        Pasto   60-64       110.1\n",
+       "45        Pasto   65-69       101.9\n",
+       "46        Pasto   70-74        94.8\n",
+       "47        Pasto     >75        27.2\n",
+       "48     Colombia   20-24         8.2\n",
+       "49     Colombia   25-29        21.7\n",
+       "50     Colombia   30-34        28.9\n",
+       "51     Colombia   35-39        32.1\n",
+       "52     Colombia   40-44        45.9\n",
+       "53     Colombia   45-49        45.7\n",
+       "54     Colombia   50-54        50.5\n",
+       "55     Colombia   55-59        56.6\n",
+       "56     Colombia   60-64        71.4\n",
+       "57     Colombia   65-69        68.1\n",
+       "58     Colombia   70-74        64.6\n",
+       "59     Colombia     >75        21.5"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "factors = pd.DataFrame({'Ciudad':(['Bucaramanga']*12 +['Cali']*12 + ['Manizales']*12 + ['Pasto']*12 + ['Colombia']*12), \n",
+    "                        'Edades':('20-24',\n",
+    "                        '25-29',' 30-34',' 35-39', '40-44','45-49' ,'50-54', '55-59',\n",
+    "                        '60-64', '65-69', '70-74', '>75')*5, 'Incidencia':\n",
+    "                       buc_data[2:] + cal_data[2:] + man_data[2:] + pas_data[2:] + col_data[2:]})\n",
+    "factors"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: title={'center': 'Edad vs Incidencia'}, xlabel='Edades', ylabel='Incidencia'>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x2000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axs = plt.subplots(2, 1, figsize=(20, 20))\n",
+    "axs[0].set_title('Región vs Incidencia',fontsize=15)\n",
+    "sns.boxplot(x=\"Incidencia\", y=\"Ciudad\", data=factors, ax=axs[0])\n",
+    "sns.swarmplot(x=\"Incidencia\", y=\"Ciudad\", data=factors, color='black',\n",
+    "              alpha = 0.5, ax=axs[0])\n",
+    "\n",
+    "axs[1].set_title('Edad vs Incidencia')\n",
+    "sns.boxplot(x=\"Edades\", y=\"Incidencia\", data=factors, ax=axs[1])\n",
+    "sns.swarmplot(x=\"Edades\", y=\"Incidencia\", data=factors, color='black',alpha = 0.5, ax=axs[1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x1aab9853640>"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1000x800 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 8))\n",
+    "sns.displot(data=factors, bins=10, x=\"Incidencia\", col=\"Ciudad\", col_wrap=2, kde=True, hue=\"Ciudad\",\n",
+    "            palette=\"dark\", legend=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}