datos/analisis_exploratorio.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "affae536",
   "metadata": {},
   "source": [
    "### 0. Importar las librerías"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4b89220c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a720f42",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "# 1. Cargar el dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a4ecaba7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AF365</th>\n",
       "      <th>AF450</th>\n",
       "      <th>35 deg</th>\n",
       "      <th>42 deg</th>\n",
       "      <th>Grupo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.320158</td>\n",
       "      <td>1.229614</td>\n",
       "      <td>13.01</td>\n",
       "      <td>19.39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.529274</td>\n",
       "      <td>0.616514</td>\n",
       "      <td>8.18</td>\n",
       "      <td>24.78</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.908257</td>\n",
       "      <td>0.955847</td>\n",
       "      <td>7.75</td>\n",
       "      <td>16.90</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.590625</td>\n",
       "      <td>1.018495</td>\n",
       "      <td>4.10</td>\n",
       "      <td>16.30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.617071</td>\n",
       "      <td>1.242961</td>\n",
       "      <td>5.76</td>\n",
       "      <td>21.05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>4.093525</td>\n",
       "      <td>3.037288</td>\n",
       "      <td>3.97</td>\n",
       "      <td>5.35</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>4.730000</td>\n",
       "      <td>3.040000</td>\n",
       "      <td>7.04</td>\n",
       "      <td>14.44</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>4.010000</td>\n",
       "      <td>4.110000</td>\n",
       "      <td>6.65</td>\n",
       "      <td>17.37</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>3.200000</td>\n",
       "      <td>2.360000</td>\n",
       "      <td>6.70</td>\n",
       "      <td>10.57</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>3.885714</td>\n",
       "      <td>2.403073</td>\n",
       "      <td>6.61</td>\n",
       "      <td>14.30</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>124 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        AF365     AF450  35 deg  42 deg  Grupo\n",
       "0    2.320158  1.229614   13.01   19.39      0\n",
       "1    1.529274  0.616514    8.18   24.78      0\n",
       "2    1.908257  0.955847    7.75   16.90      0\n",
       "3    1.590625  1.018495    4.10   16.30      0\n",
       "4    1.617071  1.242961    5.76   21.05      0\n",
       "..        ...       ...     ...     ...    ...\n",
       "119  4.093525  3.037288    3.97    5.35      2\n",
       "120  4.730000  3.040000    7.04   14.44      2\n",
       "121  4.010000  4.110000    6.65   17.37      2\n",
       "122  3.200000  2.360000    6.70   10.57      2\n",
       "123  3.885714  2.403073    6.61   14.30      2\n",
       "\n",
       "[124 rows x 5 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cargar el dataset\n",
    "datos = pd.read_csv('datos.csv')\n",
    "\n",
    "datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "32bf76f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    62\n",
       "0    48\n",
       "2    14\n",
       "Name: Grupo, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Contar el número de instancias de cada grupo\n",
    "datos['Grupo'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef91a620",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "# 2. Análisis exploratorio (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e6654584",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AF365</th>\n",
       "      <th>AF450</th>\n",
       "      <th>35 deg</th>\n",
       "      <th>42 deg</th>\n",
       "      <th>Grupo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>124.000000</td>\n",
       "      <td>124.000000</td>\n",
       "      <td>124.000000</td>\n",
       "      <td>124.000000</td>\n",
       "      <td>124.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.575719</td>\n",
       "      <td>1.683305</td>\n",
       "      <td>7.269597</td>\n",
       "      <td>14.861048</td>\n",
       "      <td>0.725806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.814076</td>\n",
       "      <td>0.731116</td>\n",
       "      <td>2.899653</td>\n",
       "      <td>5.746477</td>\n",
       "      <td>0.654425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.410494</td>\n",
       "      <td>0.270591</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.061781</td>\n",
       "      <td>1.292338</td>\n",
       "      <td>5.457500</td>\n",
       "      <td>10.552500</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.550161</td>\n",
       "      <td>1.633922</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>14.675000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.051504</td>\n",
       "      <td>1.942651</td>\n",
       "      <td>8.630000</td>\n",
       "      <td>18.592500</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.855556</td>\n",
       "      <td>6.458824</td>\n",
       "      <td>17.290000</td>\n",
       "      <td>32.480000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            AF365       AF450      35 deg      42 deg       Grupo\n",
       "count  124.000000  124.000000  124.000000  124.000000  124.000000\n",
       "mean     2.575719    1.683305    7.269597   14.861048    0.725806\n",
       "std      0.814076    0.731116    2.899653    5.746477    0.654425\n",
       "min      0.410494    0.270591    2.100000    3.700000    0.000000\n",
       "25%      2.061781    1.292338    5.457500   10.552500    0.000000\n",
       "50%      2.550161    1.633922    6.700000   14.675000    1.000000\n",
       "75%      3.051504    1.942651    8.630000   18.592500    1.000000\n",
       "max      4.855556    6.458824   17.290000   32.480000    2.000000"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dataset completo\n",
    "datos.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e96f6e9e",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AF365</th>\n",
       "      <th>AF450</th>\n",
       "      <th>35 deg</th>\n",
       "      <th>42 deg</th>\n",
       "      <th>Grupo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>48.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.102746</td>\n",
       "      <td>1.236893</td>\n",
       "      <td>8.748333</td>\n",
       "      <td>19.910833</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.679359</td>\n",
       "      <td>0.442148</td>\n",
       "      <td>3.088467</td>\n",
       "      <td>4.551754</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.410494</td>\n",
       "      <td>0.270591</td>\n",
       "      <td>3.320000</td>\n",
       "      <td>11.860000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.681601</td>\n",
       "      <td>0.972846</td>\n",
       "      <td>6.617500</td>\n",
       "      <td>16.635000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.109467</td>\n",
       "      <td>1.233760</td>\n",
       "      <td>8.585000</td>\n",
       "      <td>19.415000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.515000</td>\n",
       "      <td>1.434447</td>\n",
       "      <td>10.497500</td>\n",
       "      <td>22.087500</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.747126</td>\n",
       "      <td>2.417640</td>\n",
       "      <td>17.290000</td>\n",
       "      <td>32.480000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           AF365      AF450     35 deg     42 deg  Grupo\n",
       "count  48.000000  48.000000  48.000000  48.000000   48.0\n",
       "mean    2.102746   1.236893   8.748333  19.910833    0.0\n",
       "std     0.679359   0.442148   3.088467   4.551754    0.0\n",
       "min     0.410494   0.270591   3.320000  11.860000    0.0\n",
       "25%     1.681601   0.972846   6.617500  16.635000    0.0\n",
       "50%     2.109467   1.233760   8.585000  19.415000    0.0\n",
       "75%     2.515000   1.434447  10.497500  22.087500    0.0\n",
       "max     3.747126   2.417640  17.290000  32.480000    0.0"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grupo de control\n",
    "datos[datos['Grupo'] == 0].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c82858bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AF365</th>\n",
       "      <th>AF450</th>\n",
       "      <th>35 deg</th>\n",
       "      <th>42 deg</th>\n",
       "      <th>Grupo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>62.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.667647</td>\n",
       "      <td>1.839578</td>\n",
       "      <td>6.640484</td>\n",
       "      <td>12.238065</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.604757</td>\n",
       "      <td>0.703512</td>\n",
       "      <td>2.417891</td>\n",
       "      <td>3.501105</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.710280</td>\n",
       "      <td>0.530769</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>4.110000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.315432</td>\n",
       "      <td>1.567677</td>\n",
       "      <td>5.452500</td>\n",
       "      <td>10.060000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.692400</td>\n",
       "      <td>1.748737</td>\n",
       "      <td>6.260000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.045000</td>\n",
       "      <td>1.939375</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>14.717500</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.076923</td>\n",
       "      <td>6.458824</td>\n",
       "      <td>13.610000</td>\n",
       "      <td>20.890000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           AF365      AF450     35 deg     42 deg  Grupo\n",
       "count  62.000000  62.000000  62.000000  62.000000   62.0\n",
       "mean    2.667647   1.839578   6.640484  12.238065    1.0\n",
       "std     0.604757   0.703512   2.417891   3.501105    0.0\n",
       "min     0.710280   0.530769   2.100000   4.110000    1.0\n",
       "25%     2.315432   1.567677   5.452500  10.060000    1.0\n",
       "50%     2.692400   1.748737   6.260000  12.000000    1.0\n",
       "75%     3.045000   1.939375   7.600000  14.717500    1.0\n",
       "max     4.076923   6.458824  13.610000  20.890000    1.0"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grupo de diabéticos 1\n",
    "datos[datos['Grupo'] == 1].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "5e8d0fed",
   "metadata": {},
   "outputs": [
    {
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       "    }\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>AF365</th>\n",
       "      <th>AF450</th>\n",
       "      <th>35 deg</th>\n",
       "      <th>42 deg</th>\n",
       "      <th>Grupo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>14.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.790233</td>\n",
       "      <td>2.521793</td>\n",
       "      <td>4.985714</td>\n",
       "      <td>9.163571</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.656367</td>\n",
       "      <td>0.647222</td>\n",
       "      <td>1.433788</td>\n",
       "      <td>4.253322</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.980000</td>\n",
       "      <td>1.835308</td>\n",
       "      <td>2.330000</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.202500</td>\n",
       "      <td>2.072500</td>\n",
       "      <td>3.982500</td>\n",
       "      <td>5.725000</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.827857</td>\n",
       "      <td>2.381537</td>\n",
       "      <td>4.685000</td>\n",
       "      <td>8.775000</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.072644</td>\n",
       "      <td>2.887966</td>\n",
       "      <td>6.417500</td>\n",
       "      <td>12.265000</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.855556</td>\n",
       "      <td>4.110000</td>\n",
       "      <td>7.040000</td>\n",
       "      <td>17.370000</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           AF365      AF450     35 deg     42 deg  Grupo\n",
       "count  14.000000  14.000000  14.000000  14.000000   14.0\n",
       "mean    3.790233   2.521793   4.985714   9.163571    2.0\n",
       "std     0.656367   0.647222   1.433788   4.253322    0.0\n",
       "min     2.980000   1.835308   2.330000   3.700000    2.0\n",
       "25%     3.202500   2.072500   3.982500   5.725000    2.0\n",
       "50%     3.827857   2.381537   4.685000   8.775000    2.0\n",
       "75%     4.072644   2.887966   6.417500  12.265000    2.0\n",
       "max     4.855556   4.110000   7.040000  17.370000    2.0"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grupo de diabéticos 2\n",
    "datos[datos['Grupo'] == 2].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9425fceb",
   "metadata": {},
   "source": [
    "## Matriz de correlación\n",
    "\n",
    "Se va a estudiar la correlación para entender las variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "29caa894",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calcula coeficiente de correlación de Pearson\n",
    "corr = datos.corr(method ='pearson')\n",
    "\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "\n",
    "# HeatMap con tamaño ampliado, cuadrado, divergencia con colores y con anotaciones de 2 decimales\n",
    "ax = sns.heatmap(\n",
    "    corr,\n",
    "    vmin=-1, vmax=1, center=0,\n",
    "    cmap='RdBu',\n",
    "    square=True, annot=True, fmt=\".2f\"\n",
    ")\n",
    "\n",
    "'''# Rota las etiquetas del eje horizontal\n",
    "ax.set_xticklabels(\n",
    "    ax.get_xticklabels(),\n",
    "    rotation=45,\n",
    "    horizontalalignment='right'\n",
    ")'''\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# Guardar imagen\n",
    "#plt.savefig(\"imagenes/matriz_correlacion.png\", dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ba5370d",
   "metadata": {},
   "source": [
    "## Distribución de los datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "10246764",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Se crea la figura de 2x2\n",
    "figure, axes = plt.subplots(nrows=2, ncols=2, figsize=(12,8))\n",
    "\n",
    "# Se crean los subgráficos\n",
    "sns.distplot(datos['AF365'], ax=axes[0, 0])\n",
    "sns.distplot(datos['AF450'], ax=axes[0, 1])\n",
    "sns.distplot(datos['35 deg'], ax=axes[1, 0])\n",
    "sns.distplot(datos['42 deg'], ax=axes[1, 1])\n",
    "\n",
    "'''# Añadir título a los subgráficos\n",
    "axes[0, 0].set(title='AF365')\n",
    "axes[0, 1].set(title='AF450')\n",
    "axes[1, 0].set(title='35ºC')\n",
    "axes[1, 1].set(title='42ºC')'''\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba797474",
   "metadata": {},
   "source": [
    "Las datos presentan una distribución aproximada a la normal por lo que se puede afirmar que el 99,7% de todos ellos se encuentran dentro de tres desviaciones estándar de la media. Por esto mismo, el umbral se fijará con este valor y, si algún dato se encuentra a una distancia mayor, será considerado como una anomalía\n",
    "\n",
    "`35 deg` y `42 deg` presentan cierta asimetría y `AF450` tiene valores muy dispersos, por lo que se procederá a estudiar la presencia de outliers."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "273a0fdb",
   "metadata": {},
   "source": [
    "## Búsqueda de datos anómalos (outliers)\n",
    "\n",
    "Se van a buscar los datos que se encuentren a una distancia mayor de 3 desviaciones de la media para considerarlos como anomalías y eliminarlos. Con esto se consigue reducir el ruido en el clasificador."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "547b429f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Función de detección de outliers con el método de la desviación estándar\n",
    "def detectar_outliers(df, columna):\n",
    "    # Variables para almacenar los límites inferior y superior\n",
    "    limite_inf = 0\n",
    "    limite_sup = 0\n",
    "\n",
    "    # Se calcula la media y la desviación estándar de la columna especificada\n",
    "    media, desviacion = df[columna].mean(), df[columna].std()\n",
    "    \n",
    "    # Se calcula el valor de los límites inferior y superior\n",
    "    limite_inf = media - (desviacion * 3)\n",
    "    limite_sup = media + (desviacion * 3)\n",
    "    print('El límite inferior es:', limite_inf)\n",
    "    print('El limite superior es:', limite_sup)\n",
    "    \n",
    "    # Se calcula el número de instancias que están fuera de los límtes\n",
    "    df1 = df[df[columna] > limite_sup]\n",
    "    df2 = df[df[columna] < limite_inf]\n",
    "    \n",
    "    outliers = df1.shape[0] + df2.shape[0]\n",
    "    \n",
    "    print('---------------------------------------------')\n",
    "    print('Número total de outliers:', outliers)\n",
    "    \n",
    "    if outliers > 0:\n",
    "        print('---------------------------------------------')\n",
    "        print('Instancias anómalas:')\n",
    "        \n",
    "        if len(df1) != 0:\n",
    "            print(df1)\n",
    "        if len(df2) != 0:\n",
    "            print(df2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1a6c2c76",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "El límite inferior es: 0.13349195588684815\n",
      "El limite superior es: 5.0179465925647655\n",
      "---------------------------------------------\n",
      "Número total de outliers: 0\n"
     ]
    }
   ],
   "source": [
    "detectar_outliers(datos, 'AF365')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "cab90956",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "El límite inferior es: -0.5100419407327681\n",
      "El limite superior es: 3.8766515696521227\n",
      "---------------------------------------------\n",
      "Número total de outliers: 2\n",
      "---------------------------------------------\n",
      "Instancias anómalas:\n",
      "        AF365     AF450  35 deg  42 deg  Grupo\n",
      "104  2.074074  6.458824    7.41   13.98      1\n",
      "121  4.010000  4.110000    6.65   17.37      2\n"
     ]
    }
   ],
   "source": [
    "detectar_outliers(datos, 'AF450')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "d8020cbf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "El límite inferior es: -1.4293622881705268\n",
      "El limite superior es: 15.968555836557623\n",
      "---------------------------------------------\n",
      "Número total de outliers: 1\n",
      "---------------------------------------------\n",
      "Instancias anómalas:\n",
      "       AF365     AF450  35 deg  42 deg  Grupo\n",
      "21  2.603687  1.554795   17.29   29.27      0\n"
     ]
    }
   ],
   "source": [
    "detectar_outliers(datos, '35 deg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "afb5a19e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "El límite inferior es: -2.3783813832878913\n",
      "El limite superior es: 32.10047815748145\n",
      "---------------------------------------------\n",
      "Número total de outliers: 1\n",
      "---------------------------------------------\n",
      "Instancias anómalas:\n",
      "       AF365     AF450  35 deg  42 deg  Grupo\n",
      "13  2.818713  1.271639   15.13   32.48      0\n"
     ]
    }
   ],
   "source": [
    "detectar_outliers(datos, '42 deg')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "886db4ea",
   "metadata": {},
   "source": [
    "Si se visualizan los gráficos de bigotes, se aprecian mejor estos outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "42d31135",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Se crea la figura de 2x2\n",
    "figure, axes = plt.subplots(nrows=2, ncols=2, figsize=(10,10))\n",
    "\n",
    "# Se crean los subgráficos\n",
    "sns.boxplot(x=datos['Grupo'], y=datos['AF365'], data=datos, ax=axes[0, 0])\n",
    "sns.boxplot(x=datos['Grupo'], y=datos['AF450'], data=datos, ax=axes[0, 1])\n",
    "sns.boxplot(x=datos['Grupo'], y=datos['35 deg'], data=datos, ax=axes[1, 0])\n",
    "sns.boxplot(x=datos['Grupo'], y=datos['42 deg'], data=datos, ax=axes[1, 1])\n",
    "\n",
    "'''# Añadir título a los subgráficos\n",
    "axes[0, 0].set(title='AF365')\n",
    "axes[0, 1].set(title='AF450')\n",
    "axes[1, 0].set(title='35ºC')\n",
    "axes[1, 1].set(title='42ºC')'''\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe413010",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Diagramas de dispersión"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "33b0a40c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set()\n",
    "cols = ['Grupo', 'AF365', 'AF450', '35 deg', '42 deg']\n",
    "sns.pairplot(datos[cols], size = 2.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9e68511",
   "metadata": {},
   "source": [
    "# 3. Eliminar datos anómalos y guardar dataset filtrado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "a91c7f96",
   "metadata": {},
   "outputs": [],
   "source": [
    "datos_filtrados = datos.drop([13, 21, 104, 121])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "6163f03c",
   "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>AF365</th>\n",
       "      <th>AF450</th>\n",
       "      <th>35 deg</th>\n",
       "      <th>42 deg</th>\n",
       "      <th>Grupo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.320158</td>\n",
       "      <td>1.229614</td>\n",
       "      <td>13.01</td>\n",
       "      <td>19.39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.529274</td>\n",
       "      <td>0.616514</td>\n",
       "      <td>8.18</td>\n",
       "      <td>24.78</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.908257</td>\n",
       "      <td>0.955847</td>\n",
       "      <td>7.75</td>\n",
       "      <td>16.90</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.590625</td>\n",
       "      <td>1.018495</td>\n",
       "      <td>4.10</td>\n",
       "      <td>16.30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.617071</td>\n",
       "      <td>1.242961</td>\n",
       "      <td>5.76</td>\n",
       "      <td>21.05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>3.034884</td>\n",
       "      <td>2.051768</td>\n",
       "      <td>4.55</td>\n",
       "      <td>8.50</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>4.093525</td>\n",
       "      <td>3.037288</td>\n",
       "      <td>3.97</td>\n",
       "      <td>5.35</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>4.730000</td>\n",
       "      <td>3.040000</td>\n",
       "      <td>7.04</td>\n",
       "      <td>14.44</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>3.200000</td>\n",
       "      <td>2.360000</td>\n",
       "      <td>6.70</td>\n",
       "      <td>10.57</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>3.885714</td>\n",
       "      <td>2.403073</td>\n",
       "      <td>6.61</td>\n",
       "      <td>14.30</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        AF365     AF450  35 deg  42 deg  Grupo\n",
       "0    2.320158  1.229614   13.01   19.39      0\n",
       "1    1.529274  0.616514    8.18   24.78      0\n",
       "2    1.908257  0.955847    7.75   16.90      0\n",
       "3    1.590625  1.018495    4.10   16.30      0\n",
       "4    1.617071  1.242961    5.76   21.05      0\n",
       "..        ...       ...     ...     ...    ...\n",
       "118  3.034884  2.051768    4.55    8.50      2\n",
       "119  4.093525  3.037288    3.97    5.35      2\n",
       "120  4.730000  3.040000    7.04   14.44      2\n",
       "122  3.200000  2.360000    6.70   10.57      2\n",
       "123  3.885714  2.403073    6.61   14.30      2\n",
       "\n",
       "[120 rows x 5 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datos_filtrados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "0b47aeef",
   "metadata": {},
   "outputs": [],
   "source": [
    "datos_filtrados = datos_filtrados.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "2e18c5b3",
   "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>AF365</th>\n",
       "      <th>AF450</th>\n",
       "      <th>35 deg</th>\n",
       "      <th>42 deg</th>\n",
       "      <th>Grupo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.320158</td>\n",
       "      <td>1.229614</td>\n",
       "      <td>13.01</td>\n",
       "      <td>19.39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.529274</td>\n",
       "      <td>0.616514</td>\n",
       "      <td>8.18</td>\n",
       "      <td>24.78</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.908257</td>\n",
       "      <td>0.955847</td>\n",
       "      <td>7.75</td>\n",
       "      <td>16.90</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.590625</td>\n",
       "      <td>1.018495</td>\n",
       "      <td>4.10</td>\n",
       "      <td>16.30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.617071</td>\n",
       "      <td>1.242961</td>\n",
       "      <td>5.76</td>\n",
       "      <td>21.05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>3.034884</td>\n",
       "      <td>2.051768</td>\n",
       "      <td>4.55</td>\n",
       "      <td>8.50</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>4.093525</td>\n",
       "      <td>3.037288</td>\n",
       "      <td>3.97</td>\n",
       "      <td>5.35</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>4.730000</td>\n",
       "      <td>3.040000</td>\n",
       "      <td>7.04</td>\n",
       "      <td>14.44</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>3.200000</td>\n",
       "      <td>2.360000</td>\n",
       "      <td>6.70</td>\n",
       "      <td>10.57</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>3.885714</td>\n",
       "      <td>2.403073</td>\n",
       "      <td>6.61</td>\n",
       "      <td>14.30</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        AF365     AF450  35 deg  42 deg  Grupo\n",
       "0    2.320158  1.229614   13.01   19.39      0\n",
       "1    1.529274  0.616514    8.18   24.78      0\n",
       "2    1.908257  0.955847    7.75   16.90      0\n",
       "3    1.590625  1.018495    4.10   16.30      0\n",
       "4    1.617071  1.242961    5.76   21.05      0\n",
       "..        ...       ...     ...     ...    ...\n",
       "115  3.034884  2.051768    4.55    8.50      2\n",
       "116  4.093525  3.037288    3.97    5.35      2\n",
       "117  4.730000  3.040000    7.04   14.44      2\n",
       "118  3.200000  2.360000    6.70   10.57      2\n",
       "119  3.885714  2.403073    6.61   14.30      2\n",
       "\n",
       "[120 rows x 5 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datos_filtrados"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1cc06739",
   "metadata": {},
   "source": [
    "## Distribución de los datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "01d4880b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Se crea la figura de 2x2\n",
    "figure, axes = plt.subplots(nrows=2, ncols=2, figsize=(12,8)) # 2rows 2columns\n",
    "\n",
    "# Se crean los subgráficos\n",
    "sns.distplot(datos_filtrados['AF365'], ax=axes[0, 0])\n",
    "sns.distplot(datos_filtrados['AF450'], ax=axes[0, 1])\n",
    "sns.distplot(datos_filtrados['35 deg'], ax=axes[1, 0])\n",
    "sns.distplot(datos_filtrados['42 deg'], ax=axes[1, 1])\n",
    "\n",
    "'''# Añadir título a los subgráficos\n",
    "axes[0, 0].set(title='AF365')\n",
    "axes[0, 1].set(title='AF450')\n",
    "axes[1, 0].set(title='35ºC')\n",
    "axes[1, 1].set(title='42ºC')'''\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "def080ec",
   "metadata": {},
   "source": [
    "La distribución de los datos para cada variables ha mejorado y se asemeja más a una distribución normal."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cdba6624",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "## Distribución de los datos separados por grupos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "e24338fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(12,8))\n",
    "\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==0]['AF365'], ax=ax[0][0])\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==1]['AF365'], ax=ax[0][0])\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==2]['AF365'], ax=ax[0][0])\n",
    "ax[0][0].legend(['Control','Diabetes 1', 'Diabetes 2'])\n",
    "#ax[0][0].set_title('AF365')\n",
    "\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==0]['AF450'], ax=ax[0][1])\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==1]['AF450'], ax=ax[0][1])\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==2]['AF450'], ax=ax[0][1])\n",
    "ax[0][1].legend(['Control','Diabetes 1', 'Diabetes 2'])\n",
    "#ax[0][1].set_title('AF450')\n",
    "\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==0]['35 deg'], ax=ax[1][0])\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==1]['35 deg'], ax=ax[1][0])\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==2]['35 deg'], ax=ax[1][0])\n",
    "ax[1][0].legend(['Control','Diabetes 1', 'Diabetes 2'])\n",
    "#ax[1][0].set_title('35 deg')\n",
    "\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==0]['42 deg'], ax=ax[1][1])\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==1]['42 deg'], ax=ax[1][1])\n",
    "sns.distplot(datos_filtrados[datos_filtrados['Grupo']==2]['42 deg'], ax=ax[1][1])\n",
    "ax[1][1].legend(['Control','Diabetes 1', 'Diabetes 2'])\n",
    "#ax[1][1].set_title('42 deg')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15f1454c",
   "metadata": {},
   "source": [
    "### Guardar dataset filtrado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "cdd44c2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(120, 5)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datos_filtrados.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a3977967",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 120 entries, 0 to 119\n",
      "Data columns (total 5 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   AF365   120 non-null    float64\n",
      " 1   AF450   120 non-null    float64\n",
      " 2   35 deg  120 non-null    float64\n",
      " 3   42 deg  120 non-null    float64\n",
      " 4   Grupo   120 non-null    int64  \n",
      "dtypes: float64(4), int64(1)\n",
      "memory usage: 4.8 KB\n"
     ]
    }
   ],
   "source": [
    "datos_filtrados.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5405d6a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Guardar dataframe\n",
    "datos_filtrados.to_csv('datos_filtrados.csv', header=True, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "825f7bdb",
   "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>AF365</th>\n",
       "      <th>AF450</th>\n",
       "      <th>35 deg</th>\n",
       "      <th>42 deg</th>\n",
       "      <th>Grupo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.320158</td>\n",
       "      <td>1.229614</td>\n",
       "      <td>13.01</td>\n",
       "      <td>19.39</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.529274</td>\n",
       "      <td>0.616514</td>\n",
       "      <td>8.18</td>\n",
       "      <td>24.78</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.908257</td>\n",
       "      <td>0.955847</td>\n",
       "      <td>7.75</td>\n",
       "      <td>16.90</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.590625</td>\n",
       "      <td>1.018495</td>\n",
       "      <td>4.10</td>\n",
       "      <td>16.30</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.617071</td>\n",
       "      <td>1.242961</td>\n",
       "      <td>5.76</td>\n",
       "      <td>21.05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>3.034884</td>\n",
       "      <td>2.051768</td>\n",
       "      <td>4.55</td>\n",
       "      <td>8.50</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>4.093525</td>\n",
       "      <td>3.037288</td>\n",
       "      <td>3.97</td>\n",
       "      <td>5.35</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>4.730000</td>\n",
       "      <td>3.040000</td>\n",
       "      <td>7.04</td>\n",
       "      <td>14.44</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>3.200000</td>\n",
       "      <td>2.360000</td>\n",
       "      <td>6.70</td>\n",
       "      <td>10.57</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>3.885714</td>\n",
       "      <td>2.403073</td>\n",
       "      <td>6.61</td>\n",
       "      <td>14.30</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        AF365     AF450  35 deg  42 deg  Grupo\n",
       "0    2.320158  1.229614   13.01   19.39      0\n",
       "1    1.529274  0.616514    8.18   24.78      0\n",
       "2    1.908257  0.955847    7.75   16.90      0\n",
       "3    1.590625  1.018495    4.10   16.30      0\n",
       "4    1.617071  1.242961    5.76   21.05      0\n",
       "..        ...       ...     ...     ...    ...\n",
       "115  3.034884  2.051768    4.55    8.50      2\n",
       "116  4.093525  3.037288    3.97    5.35      2\n",
       "117  4.730000  3.040000    7.04   14.44      2\n",
       "118  3.200000  2.360000    6.70   10.57      2\n",
       "119  3.885714  2.403073    6.61   14.30      2\n",
       "\n",
       "[120 rows x 5 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Comprobación\n",
    "df_comprobar = pd.read_csv('datos_filtrados.csv')\n",
    "df_comprobar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f08d0010",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(120, 5)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_comprobar.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1bd97fab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 120 entries, 0 to 119\n",
      "Data columns (total 5 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   AF365   120 non-null    float64\n",
      " 1   AF450   120 non-null    float64\n",
      " 2   35 deg  120 non-null    float64\n",
      " 3   42 deg  120 non-null    float64\n",
      " 4   Grupo   120 non-null    int64  \n",
      "dtypes: float64(4), int64(1)\n",
      "memory usage: 4.8 KB\n"
     ]
    }
   ],
   "source": [
    "df_comprobar.info()"
   ]
  }
 ],
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