02 - preprocesado.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D6yIHHU2p-EF"
      },
      "source": [
        "# Carga del documento"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "b6oefQ2Ap-EL",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 78
        },
        "outputId": "87d7c424-e53c-4bd3-950d-4eca2f595703"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<meta name=\"google-signin-client_id\"\n",
              "      content=\"461673936472-kdjosv61up3ac1ajeuq6qqu72upilmls.apps.googleusercontent.com\"/>\n",
              "<script src=\"https://apis.google.com/js/client:platform.js?onload=google_button_start\"></script>\n",
              "    "
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          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<h3>See <a href='https://m5knaekxo6.execute-api.us-west-2.amazonaws.com/dev-v0001/rlxmooc/web/login' target='_blank'>my courses and progress</a></h2>"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "!wget --no-cache -O init.py -q https://raw.githubusercontent.com/rramosp/ai4eng.v1/main/content/init.py\n",
        "import init; init.init(force_download=False); init.get_weblink()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Descargar datos directamente desde Kaggle\n",
        "\n",
        "- Crear un archivo `kaggle.json` con su token de autenticación\n",
        "- Create a file `kaggle.json` with your authentication token (En kaggle $\\to$ haga clic en el icono de usuario en la parte superior derecha $\\to$ settings $\\to$ API create new token)\n",
        "- Subirlo a este espacio de trabajo portátil\n",
        "- Ejecutar la siguiente celda"
      ],
      "metadata": {
        "id": "CdkWz0856v-Z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "os.environ['KAGGLE_CONFIG_DIR'] = '.'\n",
        "!chmod 600 ./kaggle.json\n",
        "!kaggle competitions download -c udea-ai4eng-20242"
      ],
      "metadata": {
        "id": "HJ8jqq-FqPUB",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "80cf120c-e6c8-46fb-8bf1-d5aec462d87d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "udea-ai4eng-20242.zip: Skipping, found more recently modified local copy (use --force to force download)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Descomprimir e inspeccionar datos"
      ],
      "metadata": {
        "id": "_DFu9Pgx7n4V"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!unzip udea*.zip > /dev/null"
      ],
      "metadata": {
        "id": "WE2IYDHKqPYv",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d21d0642-50b6-485a-a38a-8326204e365c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "replace submission_example.csv? [y]es, [n]o, [A]ll, [N]one, [r]ename: N\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wc *.csv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3QtFhJ2S7sBC",
        "outputId": "e729dc39-ebf2-4bc7-c3fd-6fa22774c941"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "   296787    296787   4716673 submission_example.csv\n",
            "   296787   4565553  50135751 test.csv\n",
            "   692501  10666231 118025055 train.csv\n",
            "  1286075  15528571 172877479 total\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Cargar datos `train.csv` con pandas\n",
        "\n"
      ],
      "metadata": {
        "id": "vQacFVFN8Lok"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "z = pd.read_csv(\"train.csv\")\n",
        "print (\"shape of loaded dataframe\", z.shape)\n",
        "test = pd.read_csv(\"test.csv\")\n",
        "print (\"shape of loaded dataframe\", test.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9bitCKLB74cC",
        "outputId": "7e11b0da-b4af-4701-cec3-0ae4799e2e78"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "shape of loaded dataframe (692500, 12)\n",
            "shape of loaded dataframe (296786, 12)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "43IJ0U_J74gs",
        "outputId": "2522584a-dd70-47df-d81a-a25086623d38"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "       ID  PERIODO         ESTU_PRGM_ACADEMICO ESTU_PRGM_DEPARTAMENTO  \\\n",
              "0  904256    20212                  ENFERMERIA                 BOGOTÁ   \n",
              "1  645256    20212                     DERECHO              ATLANTICO   \n",
              "2  308367    20203       MERCADEO Y PUBLICIDAD                 BOGOTÁ   \n",
              "3  470353    20195  ADMINISTRACION DE EMPRESAS              SANTANDER   \n",
              "4  989032    20212                  PSICOLOGIA              ANTIOQUIA   \n",
              "\n",
              "             ESTU_VALORMATRICULAUNIVERSIDAD ESTU_HORASSEMANATRABAJA  \\\n",
              "0  Entre 5.5 millones y menos de 7 millones       Menos de 10 horas   \n",
              "1  Entre 2.5 millones y menos de 4 millones                       0   \n",
              "2  Entre 2.5 millones y menos de 4 millones         Más de 30 horas   \n",
              "3  Entre 4 millones y menos de 5.5 millones                       0   \n",
              "4  Entre 2.5 millones y menos de 4 millones     Entre 21 y 30 horas   \n",
              "\n",
              "  FAMI_ESTRATOVIVIENDA FAMI_TIENEINTERNET                 FAMI_EDUCACIONPADRE  \\\n",
              "0            Estrato 3                 Si    Técnica o tecnológica incompleta   \n",
              "1            Estrato 3                 No      Técnica o tecnológica completa   \n",
              "2            Estrato 3                 Si  Secundaria (Bachillerato) completa   \n",
              "3            Estrato 4                 Si                             No sabe   \n",
              "4            Estrato 3                 Si                   Primaria completa   \n",
              "\n",
              "                  FAMI_EDUCACIONMADRE ESTU_PAGOMATRICULAPROPIO  \\\n",
              "0                           Postgrado                       No   \n",
              "1    Técnica o tecnológica incompleta                       No   \n",
              "2  Secundaria (Bachillerato) completa                       No   \n",
              "3  Secundaria (Bachillerato) completa                       No   \n",
              "4                   Primaria completa                       No   \n",
              "\n",
              "  RENDIMIENTO_GLOBAL  \n",
              "0         medio-alto  \n",
              "1               bajo  \n",
              "2               bajo  \n",
              "3               alto  \n",
              "4         medio-bajo  "
            ],
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              "      <th>ID</th>\n",
              "      <th>PERIODO</th>\n",
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              "      <th>0</th>\n",
              "      <td>904256</td>\n",
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              "      <td>ENFERMERIA</td>\n",
              "      <td>BOGOTÁ</td>\n",
              "      <td>Entre 5.5 millones y menos de 7 millones</td>\n",
              "      <td>Menos de 10 horas</td>\n",
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              "      <td>20212</td>\n",
              "      <td>DERECHO</td>\n",
              "      <td>ATLANTICO</td>\n",
              "      <td>Entre 2.5 millones y menos de 4 millones</td>\n",
              "      <td>0</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>No</td>\n",
              "      <td>Técnica o tecnológica completa</td>\n",
              "      <td>Técnica o tecnológica incompleta</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>308367</td>\n",
              "      <td>20203</td>\n",
              "      <td>MERCADEO Y PUBLICIDAD</td>\n",
              "      <td>BOGOTÁ</td>\n",
              "      <td>Entre 2.5 millones y menos de 4 millones</td>\n",
              "      <td>Más de 30 horas</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>Si</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>470353</td>\n",
              "      <td>20195</td>\n",
              "      <td>ADMINISTRACION DE EMPRESAS</td>\n",
              "      <td>SANTANDER</td>\n",
              "      <td>Entre 4 millones y menos de 5.5 millones</td>\n",
              "      <td>0</td>\n",
              "      <td>Estrato 4</td>\n",
              "      <td>Si</td>\n",
              "      <td>No sabe</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
              "      <td>alto</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>989032</td>\n",
              "      <td>20212</td>\n",
              "      <td>PSICOLOGIA</td>\n",
              "      <td>ANTIOQUIA</td>\n",
              "      <td>Entre 2.5 millones y menos de 4 millones</td>\n",
              "      <td>Entre 21 y 30 horas</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>Si</td>\n",
              "      <td>Primaria completa</td>\n",
              "      <td>Primaria completa</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-bajo</td>\n",
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              "\n",
              "  <style>\n",
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              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
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              "\n",
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              "        document.querySelector('#df-0ee48f8e-55d4-4253-9e14-50c313209e03 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-0ee48f8e-55d4-4253-9e14-50c313209e03');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c08a7ce6-0a3f-496c-a66c-ab49a0e0e1a4 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Información general"
      ],
      "metadata": {
        "id": "IH2vFYu5qI1b"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "considering that we have in total 692K data items, we have realatively few missing values on each column"
      ],
      "metadata": {
        "id": "pGIjT0Si-4HA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 460
        },
        "id": "N2KHJwB7742V",
        "outputId": "d3006463-2099-4840-f6cd-7c68c24ac57f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ID                                    0\n",
              "PERIODO                               0\n",
              "ESTU_PRGM_ACADEMICO                   0\n",
              "ESTU_PRGM_DEPARTAMENTO                0\n",
              "ESTU_VALORMATRICULAUNIVERSIDAD     6287\n",
              "ESTU_HORASSEMANATRABAJA           30857\n",
              "FAMI_ESTRATOVIVIENDA              32137\n",
              "FAMI_TIENEINTERNET                26629\n",
              "FAMI_EDUCACIONPADRE               23178\n",
              "FAMI_EDUCACIONMADRE               23664\n",
              "ESTU_PAGOMATRICULAPROPIO           6498\n",
              "RENDIMIENTO_GLOBAL                    0\n",
              "dtype: int64"
            ],
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              "      <td>0</td>\n",
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              "      <th>ESTU_PRGM_DEPARTAMENTO</th>\n",
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              "      <td>6287</td>\n",
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              "      <th>ESTU_HORASSEMANATRABAJA</th>\n",
              "      <td>30857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>FAMI_ESTRATOVIVIENDA</th>\n",
              "      <td>32137</td>\n",
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              "      <th>FAMI_TIENEINTERNET</th>\n",
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              "      <td>23178</td>\n",
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              "      <th>FAMI_EDUCACIONMADRE</th>\n",
              "      <td>23664</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ESTU_PAGOMATRICULAPROPIO</th>\n",
              "      <td>6498</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RENDIMIENTO_GLOBAL</th>\n",
              "      <td>0</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 7
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 460
        },
        "id": "agAfsgyFlHXH",
        "outputId": "96750c93-180b-4b15-9d9e-446284b2e78e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ID                                 int64\n",
              "PERIODO                            int64\n",
              "ESTU_PRGM_ACADEMICO               object\n",
              "ESTU_PRGM_DEPARTAMENTO            object\n",
              "ESTU_VALORMATRICULAUNIVERSIDAD    object\n",
              "ESTU_HORASSEMANATRABAJA           object\n",
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              "</div><br><label><b>dtype:</b> object</label>"
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          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Revisión de columnas"
      ],
      "metadata": {
        "id": "jp_VU6AQb3xt"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Periodo"
      ],
      "metadata": {
        "id": "dJUKeTQwcj3K"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Posibilidades:\n",
        "\n",
        "* Se puede separar el año del periodo en dos columnas y trabajarlo en numeros(Recomendado por el Profe) o como etiquetas.\n",
        "* Trabajar los periodos como etiquetas o numeros.\n",
        "\n",
        "Nota: Trabarla como etiquetas no nos permitiria predecir cosas que esten por fuera de esos periodos. Puede ser util para que el modelo tenga más capacidad de predecir los valores del test(Y sacar un mejor Acurracy), pero podria generar un sobre ajuste."
      ],
      "metadata": {
        "id": "IDCgiWBnksZE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sorted(z.PERIODO.unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oDLaZQzRcCjw",
        "outputId": "4de09eb0-78d2-4238-a5df-a99b4a8f3560"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[20183, 20184, 20194, 20195, 20196, 20202, 20203, 20212, 20213]"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sorted(test.PERIODO.unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vZpA71j93N3V",
        "outputId": "f6317feb-893b-47a0-dd44-d6578f0b4041"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[20183, 20184, 20194, 20195, 20196, 20202, 20203, 20212, 20213]"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiendo de columna: Eliminación"
      ],
      "metadata": {
        "id": "eyse2wUNk8X2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z = z.drop(columns=['PERIODO'])"
      ],
      "metadata": {
        "id": "E1dQZCXLBkeh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "id": "M92xUyyM7nw7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "outputId": "03b43651-dacf-4cde-f48a-e9dc12c97f8b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID         ESTU_PRGM_ACADEMICO ESTU_PRGM_DEPARTAMENTO  \\\n",
              "0  904256                  ENFERMERIA                 BOGOTÁ   \n",
              "1  645256                     DERECHO              ATLANTICO   \n",
              "2  308367       MERCADEO Y PUBLICIDAD                 BOGOTÁ   \n",
              "3  470353  ADMINISTRACION DE EMPRESAS              SANTANDER   \n",
              "4  989032                  PSICOLOGIA              ANTIOQUIA   \n",
              "\n",
              "             ESTU_VALORMATRICULAUNIVERSIDAD ESTU_HORASSEMANATRABAJA  \\\n",
              "0  Entre 5.5 millones y menos de 7 millones       Menos de 10 horas   \n",
              "1  Entre 2.5 millones y menos de 4 millones                       0   \n",
              "2  Entre 2.5 millones y menos de 4 millones         Más de 30 horas   \n",
              "3  Entre 4 millones y menos de 5.5 millones                       0   \n",
              "4  Entre 2.5 millones y menos de 4 millones     Entre 21 y 30 horas   \n",
              "\n",
              "  FAMI_ESTRATOVIVIENDA FAMI_TIENEINTERNET                 FAMI_EDUCACIONPADRE  \\\n",
              "0            Estrato 3                 Si    Técnica o tecnológica incompleta   \n",
              "1            Estrato 3                 No      Técnica o tecnológica completa   \n",
              "2            Estrato 3                 Si  Secundaria (Bachillerato) completa   \n",
              "3            Estrato 4                 Si                             No sabe   \n",
              "4            Estrato 3                 Si                   Primaria completa   \n",
              "\n",
              "                  FAMI_EDUCACIONMADRE ESTU_PAGOMATRICULAPROPIO  \\\n",
              "0                           Postgrado                       No   \n",
              "1    Técnica o tecnológica incompleta                       No   \n",
              "2  Secundaria (Bachillerato) completa                       No   \n",
              "3  Secundaria (Bachillerato) completa                       No   \n",
              "4                   Primaria completa                       No   \n",
              "\n",
              "  RENDIMIENTO_GLOBAL  \n",
              "0         medio-alto  \n",
              "1               bajo  \n",
              "2               bajo  \n",
              "3               alto  \n",
              "4         medio-bajo  "
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-0de50ad0-2141-454d-aa17-41f7f6661f51');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-d1320b13-6c70-4bff-9698-038271230140\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d1320b13-6c70-4bff-9698-038271230140')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d1320b13-6c70-4bff-9698-038271230140 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Programa Academico"
      ],
      "metadata": {
        "id": "wYDXZYfycm1L"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Importante**: Una posible opción es clasificar las carreras como Ingenieria, Licenciatura, Ciencias Exactas, etc. Son muchas carreras para hacer onehot.\n",
        "\n",
        "\n",
        "\n",
        "*   El examen tiene areas como matematicas, Lectura Crítica, Sociales y Ciudadanas, ciencias naturales e ingles tal vez eso ayude a predecir.\n",
        "*   Buscar carreras con una distancia de edicion cortas como posibles carreras duplicadas.\n",
        "*   (¿Otras ideas?)\n",
        "\n"
      ],
      "metadata": {
        "id": "7vkkhXtAc99-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "len(sorted(z.ESTU_PRGM_ACADEMICO.unique()))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uDiKdH_FcrIK",
        "outputId": "3f76514b-c2d6-4959-c8bc-7990dc06ce8e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "948"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Nota: En este caso decidimos por organizar por tematica principal"
      ],
      "metadata": {
        "id": "7SY-_JHoMHIC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "len(z.ESTU_PRGM_ACADEMICO.unique())"
      ],
      "metadata": {
        "id": "ZkE2zpefVglG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "63724e02-e370-4f65-c93a-7ce2db94b6fa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "948"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de columna: Reducción de etiqueta, mapeo y variable nominal"
      ],
      "metadata": {
        "id": "Gd96mDrXlLwt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import re"
      ],
      "metadata": {
        "id": "jaQ3NgVq2jyp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to clean the data, removing accents and special characters and converting to lowercase\n",
        "def sanitize(text: str):\n",
        "    accentA = re.compile(r'[áàâãä]'), 'a'\n",
        "    accentE = re.compile(r'[éèêë]'), 'e'\n",
        "    accentI = re.compile(r'[íìîï]'), 'i'\n",
        "    accentO = re.compile(r'[óòôõö]'), 'o'\n",
        "    accentU = re.compile(r'[úùûü]'), 'u'\n",
        "    ampersand = re.compile(r'&'), 'y'\n",
        "\n",
        "    removeSimbols = lambda text: ''.join(re.split(r'[,.:;[\\]{}()?¿!¡°\\'\\\"\\n_-]', text))\n",
        "    removeNumbers = lambda text: re.sub(r'\\d', '', text)\n",
        "\n",
        "    removeDoubleSpaces = lambda text: re.sub(r'  ', ' ', text)\n",
        "    removeBeginSpaces = lambda text: re.sub(r'^\\s', '', text)\n",
        "    accentsToNormal = lambda accent, text: re.sub(accent[0], accent[1], text)\n",
        "    removeKeywords = lambda keywords, text: re.sub(r'|'.join(keywords), '', text)\n",
        "\n",
        "    text = text.lower()\n",
        "    text = removeSimbols(text)\n",
        "    text = removeNumbers(text)\n",
        "    text = accentsToNormal(accentA, text)\n",
        "    text = accentsToNormal(accentE, text)\n",
        "    text = accentsToNormal(accentI, text)\n",
        "    text = accentsToNormal(accentO, text)\n",
        "    text = accentsToNormal(accentU, text)\n",
        "    text = accentsToNormal(ampersand, text)\n",
        "    text = removeDoubleSpaces(text)\n",
        "    text = removeBeginSpaces(text)\n",
        "\n",
        "    text = removeDoubleSpaces(text)\n",
        "    text = removeBeginSpaces(text)\n",
        "\n",
        "    for _ in range(0, 5):\n",
        "        text = removeDoubleSpaces(text)\n",
        "\n",
        "    return text\n",
        "# Edit distance between 2 words\n",
        "def edit_dist(s1, s2, maxDist = None):\n",
        "    m, n = len(s1), len(s2)\n",
        "    prev = 0  # Stores dp[i-1][j-1]\n",
        "    curr = list(range(n + 1))  # Stores dp[i][j-1] and dp[i][j]\n",
        "\n",
        "    for i in range(1, m + 1):\n",
        "        prev = curr[0]\n",
        "        curr[0] = i\n",
        "\n",
        "        for j in range(1, n + 1):\n",
        "            temp = curr[j]\n",
        "            if s1[i - 1] == s2[j - 1]:\n",
        "                curr[j] = prev\n",
        "            else:\n",
        "                curr[j] = 1 + min(curr[j - 1], prev, curr[j])\n",
        "            prev = temp\n",
        "\n",
        "        if maxDist is not None and min(curr) > maxDist:\n",
        "            return maxDist + 1\n",
        "\n",
        "    return curr[n]\n",
        "# Tries to link words that might be the same idea\n",
        "def absorb(wordsDict, maxDistance):\n",
        "    words = wordsDict.copy()\n",
        "    keys = list(words.keys())\n",
        "    keyCount = len(keys)\n",
        "\n",
        "    for i in range(keyCount):\n",
        "        for j in range(i + 1, keyCount):\n",
        "            dist = edit_dist(keys[i], keys[j], maxDistance)\n",
        "\n",
        "            if dist <= maxDistance:\n",
        "                words[keys[i]]['similar'].append(keys[j])\n",
        "                continue\n",
        "\n",
        "    return words"
      ],
      "metadata": {
        "id": "mnDdHS1c-ns6"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Dict comprehension to create a dictionary with a unique id for each career and a json object with the career name\n",
        "data = sorted(z.ESTU_PRGM_ACADEMICO.unique())\n",
        "data = {i: {'name': career, 'sanitized': sanitize(career), 'same': []} for i, career in enumerate(data)}\n"
      ],
      "metadata": {
        "id": "iDaQLRSp_D1x"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# If the sanitized name is the same for two careers, the careers are the same, then we add the id of the career to the list of the first career with the same sanitized name\n",
        "for i, career in data.items():\n",
        "    for j in range(i + 1, len(data)):\n",
        "        if edit_dist(career['sanitized'], data[j]['sanitized'], 0) <= 0:\n",
        "            data[i]['same'] = data[i]['same'] + [j]\n"
      ],
      "metadata": {
        "id": "tXIn5og2_hNn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def mergeSame(d):\n",
        "  toRemove = []\n",
        "\n",
        "  for i, career in d.items():\n",
        "      hasWork = len(career['same']) != 0\n",
        "      toUse = []\n",
        "\n",
        "      while hasWork:\n",
        "        hasWork = False\n",
        "        toUse = d[i]['same'][len(toUse) - 1:]\n",
        "\n",
        "        for rep in toUse:\n",
        "            if len(d[rep]['same']) != 0:\n",
        "              hasWork = True\n",
        "              d[i]['same'] += d[rep]['same']\n",
        "\n",
        "            toRemove.append(rep)\n",
        "\n",
        "  for e in toRemove:\n",
        "      if e in d:\n",
        "          del d[e]"
      ],
      "metadata": {
        "id": "x0-uV2XQs0JI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "mergeSame(data)\n",
        "print(len(data))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C_1I_0uzs26Z",
        "outputId": "dc7bb989-a0a2-4ba0-8dfc-0efe29ea3093"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "793\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "c = 0\n",
        "for i, career in data.items():\n",
        "    if len(career['same']) == 0:\n",
        "        continue\n",
        "\n",
        "    print(f\"{i}: {(career['same'])}\")\n",
        "    c += 1\n",
        "\n",
        "print(c)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "ACtw4x4jskTK",
        "outputId": "cb33ee35-1b9a-40ad-8169-488d65b16a1b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "4: [50, 97]\n",
            "11: [76]\n",
            "13: [79]\n",
            "14: [80]\n",
            "16: [82]\n",
            "17: [83]\n",
            "21: [84, 86]\n",
            "22: [23, 87]\n",
            "23: [87]\n",
            "34: [74, 90]\n",
            "35: [92]\n",
            "37: [38]\n",
            "48: [93]\n",
            "50: [97]\n",
            "54: [55]\n",
            "56: [100, 101]\n",
            "59: [102]\n",
            "61: [103]\n",
            "63: [104]\n",
            "64: [66, 105, 107]\n",
            "65: [106]\n",
            "66: [105, 107]\n",
            "70: [108]\n",
            "74: [90]\n",
            "84: [86]\n",
            "100: [101]\n",
            "105: [107]\n",
            "114: [115]\n",
            "126: [127]\n",
            "129: [132]\n",
            "131: [133]\n",
            "142: [143]\n",
            "144: [148]\n",
            "145: [149]\n",
            "154: [158]\n",
            "155: [159]\n",
            "174: [175]\n",
            "179: [180]\n",
            "188: [212]\n",
            "193: [216]\n",
            "194: [217]\n",
            "195: [200, 220]\n",
            "196: [197, 198, 199, 201, 218]\n",
            "197: [198, 199, 201, 218]\n",
            "198: [199, 201, 218]\n",
            "199: [201, 218]\n",
            "200: [220]\n",
            "201: [218]\n",
            "229: [233, 235, 236, 237]\n",
            "233: [235, 236, 237]\n",
            "235: [236, 237]\n",
            "236: [237]\n",
            "250: [251]\n",
            "277: [279, 280]\n",
            "279: [280]\n",
            "292: [294]\n",
            "295: [299]\n",
            "300: [301]\n",
            "304: [305]\n",
            "312: [313]\n",
            "317: [320]\n",
            "318: [321]\n",
            "327: [334]\n",
            "335: [337]\n",
            "342: [344]\n",
            "350: [355]\n",
            "364: [371]\n",
            "365: [376, 484]\n",
            "366: [384, 488]\n",
            "368: [477]\n",
            "369: [483]\n",
            "370: [478]\n",
            "372: [479]\n",
            "373: [374, 480, 481]\n",
            "374: [480, 481]\n",
            "375: [482]\n",
            "376: [484]\n",
            "378: [485]\n",
            "380: [381, 486]\n",
            "381: [486]\n",
            "384: [488]\n",
            "386: [489]\n",
            "391: [491]\n",
            "393: [492]\n",
            "395: [494]\n",
            "399: [495]\n",
            "402: [496]\n",
            "407: [408, 497]\n",
            "408: [497]\n",
            "410: [498]\n",
            "413: [499]\n",
            "416: [420, 503]\n",
            "417: [500]\n",
            "418: [501]\n",
            "419: [502]\n",
            "420: [503]\n",
            "421: [443]\n",
            "424: [504]\n",
            "429: [506]\n",
            "430: [507]\n",
            "431: [508]\n",
            "434: [509]\n",
            "441: [514]\n",
            "444: [516]\n",
            "449: [517]\n",
            "450: [518]\n",
            "451: [519]\n",
            "452: [520]\n",
            "453: [476, 521]\n",
            "455: [459, 524]\n",
            "456: [458, 522]\n",
            "458: [522]\n",
            "459: [524]\n",
            "461: [525]\n",
            "462: [526]\n",
            "465: [529]\n",
            "466: [530]\n",
            "468: [469]\n",
            "476: [521]\n",
            "480: [481]\n",
            "537: [538]\n",
            "545: [581]\n",
            "546: [732]\n",
            "547: [760, 766]\n",
            "549: [577, 578]\n",
            "550: [708, 717]\n",
            "552: [759]\n",
            "553: [763, 767]\n",
            "558: [561]\n",
            "568: [572]\n",
            "577: [578]\n",
            "589: [646, 650, 669, 692]\n",
            "591: [671]\n",
            "594: [672]\n",
            "595: [608]\n",
            "596: [617]\n",
            "597: [638, 675]\n",
            "598: [676]\n",
            "600: [677]\n",
            "606: [611, 680, 681, 682, 687]\n",
            "611: [680, 681, 682, 687]\n",
            "615: [683]\n",
            "619: [684]\n",
            "629: [634]\n",
            "632: [685]\n",
            "635: [673]\n",
            "638: [675]\n",
            "644: [688]\n",
            "646: [650, 669, 692]\n",
            "647: [691]\n",
            "649: [689]\n",
            "650: [669, 692]\n",
            "651: [670]\n",
            "655: [693]\n",
            "657: [695]\n",
            "659: [696]\n",
            "663: [697]\n",
            "669: [692]\n",
            "680: [681, 682, 687]\n",
            "681: [682, 687]\n",
            "682: [687]\n",
            "700: [701]\n",
            "708: [717]\n",
            "718: [719]\n",
            "730: [733]\n",
            "744: [745]\n",
            "746: [748, 798]\n",
            "748: [798]\n",
            "750: [751]\n",
            "760: [766]\n",
            "763: [767]\n",
            "768: [770]\n",
            "771: [773, 777]\n",
            "773: [777]\n",
            "787: [788]\n",
            "789: [790]\n",
            "799: [800]\n",
            "804: [808]\n",
            "822: [826]\n",
            "824: [827]\n",
            "825: [828]\n",
            "829: [833]\n",
            "839: [840, 841]\n",
            "840: [841]\n",
            "844: [845]\n",
            "846: [847]\n",
            "854: [876, 877]\n",
            "856: [860]\n",
            "857: [858]\n",
            "876: [877]\n",
            "883: [885]\n",
            "907: [908]\n",
            "915: [920, 922]\n",
            "917: [923]\n",
            "918: [924]\n",
            "920: [922]\n",
            "934: [935]\n",
            "937: [938]\n",
            "198\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# We generate a dict with each important words of the careers to describe them\n",
        "# The dict has the word as key and the values are the number of times the word appears in the careers and the number of times the word appears first in the careers\n",
        "words = {}\n",
        "meaningless = ['como', 'ocupacional', 'ciclo', 'ciclos', 'para', 'profesional', 'tecnico', 'tecnologo', 'tecnologia', 'tecnologias', 'tecnica', 'tecnologica', 'tecnologicas', 'tecnologicos', 'tecnologico', 'actividad']\n",
        "for i, career in data.items():\n",
        "    candidates = career['sanitized'].split(' ')\n",
        "\n",
        "    for candidate in candidates:\n",
        "        if candidate in meaningless or len(candidate) <= 3:\n",
        "            continue\n",
        "\n",
        "        isCandidateFirst = candidate == candidates[0]\n",
        "\n",
        "        if candidate not in words:\n",
        "            baseTotal = len(career['same']) + 1\n",
        "            baseFirst = baseTotal + 1 if isCandidateFirst else 0\n",
        "            words[candidate] = {'total': baseTotal, 'first': baseFirst, 'similar': []}\n",
        "\n",
        "        else:\n",
        "          words[candidate]['total'] += 1\n",
        "\n",
        "          if isCandidateFirst:\n",
        "              words[candidate]['first'] += 1\n"
      ],
      "metadata": {
        "id": "Vaz6PQFE_s9z"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Now we will look all the possible keys that a program can have and only keep the one that is the most popular\n",
        "# The popular keys will be stored in a separate array, so any key not present in the array will be discarted\n",
        "\n",
        "toKeep = []\n",
        "for i, career in data.items():\n",
        "    candidates = career['sanitized'].split(' ')\n",
        "    mostPopular = None\n",
        "\n",
        "    for candidate in candidates:\n",
        "        if candidate not in words:\n",
        "            continue\n",
        "\n",
        "        elif mostPopular is None:\n",
        "            mostPopular = candidate\n",
        "\n",
        "        elif words[candidate]['total'] > words[mostPopular]['total']:\n",
        "            mostPopular = candidate\n",
        "\n",
        "    toKeep.append(mostPopular)\n",
        "\n",
        "for key in list(words.keys()):\n",
        "    if key not in toKeep:\n",
        "        del words[key]\n"
      ],
      "metadata": {
        "id": "ngrX77xckkNP"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(words)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fN-YbwgZxPu2",
        "outputId": "e39c83e1-4d82-4a9f-ef8c-d6d25838385c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "132"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for candidate in words:\n",
        "    print(candidate)\n",
        "\n",
        "print(f\"El numero de candidatos son {len(words)}\")"
      ],
      "metadata": {
        "collapsed": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7PQHc5oNF_H0",
        "outputId": "4ffe4b89-5735-4dd7-94c0-ae9a7b38efe3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "negocios\n",
            "internacionales\n",
            "fisica\n",
            "deporte\n",
            "acuicultura\n",
            "administracion\n",
            "financiera\n",
            "servicio\n",
            "aeronautica\n",
            "agropecuaria\n",
            "ambiental\n",
            "recursos\n",
            "naturales\n",
            "bancaria\n",
            "comercial\n",
            "mercadeo\n",
            "comercio\n",
            "exterior\n",
            "empresas\n",
            "gestion\n",
            "agroindustriales\n",
            "agropecuarias\n",
            "comerciales\n",
            "telecomunicaciones\n",
            "turistica\n",
            "turisticas\n",
            "hoteleras\n",
            "finanzas\n",
            "gestisn\n",
            "humana\n",
            "hoteleria\n",
            "turismo\n",
            "instituciones\n",
            "calidad\n",
            "seguridad\n",
            "social\n",
            "salud\n",
            "logistica\n",
            "servicios\n",
            "sistemas\n",
            "informaticos\n",
            "internacional\n",
            "medio\n",
            "ambiente\n",
            "sostenible\n",
            "deportiva\n",
            "produccion\n",
            "enfasis\n",
            "sanitaria\n",
            "industrial\n",
            "informatica\n",
            "maritima\n",
            "fluvial\n",
            "portuaria\n",
            "policial\n",
            "publica\n",
            "territorial\n",
            "hotelera\n",
            "direccion\n",
            "administracin\n",
            "logstica\n",
            "pblica\n",
            "agroindustrial\n",
            "agronegocios\n",
            "trabajo\n",
            "obras\n",
            "arquitectura\n",
            "integral\n",
            "riesgos\n",
            "adminsitracion\n",
            "agronomia\n",
            "tropico\n",
            "humedo\n",
            "animacion\n",
            "antropologia\n",
            "archivistica\n",
            "arqueologia\n",
            "danzario\n",
            "dramatico\n",
            "artes\n",
            "audiovisuales\n",
            "culinarias\n",
            "gastronomia\n",
            "escena\n",
            "grabacion\n",
            "musical\n",
            "escenicas\n",
            "musicales\n",
            "plasticas\n",
            "procesos\n",
            "bidimensionales\n",
            "tridimensionales\n",
            "visuales\n",
            "astronomia\n",
            "bacteriologia\n",
            "laboratorio\n",
            "clinico\n",
            "banca\n",
            "bellas\n",
            "bibliotecologia\n",
            "bioingenieria\n",
            "biologia\n",
            "aplicada\n",
            "marina\n",
            "bioquimica\n",
            "biotecnologia\n",
            "ciencia\n",
            "informacion\n",
            "politica\n",
            "gobierno\n",
            "relaciones\n",
            "ciencias\n",
            "ambientales\n",
            "biblicas\n",
            "computacion\n",
            "inteligencia\n",
            "artificial\n",
            "documentacion\n",
            "recreacion\n",
            "educacion\n",
            "militares\n",
            "aeronauticas\n",
            "nauticas\n",
            "oficiales\n",
            "mercantes\n",
            "navales\n",
            "infanteria\n",
            "politicas\n",
            "comunicacion\n",
            "digital\n",
            "television\n",
            "cientifica\n",
            "audiovisual\n",
            "multimedial\n",
            "multimedios\n",
            "grafica\n",
            "publicitaria\n",
            "organizacional\n",
            "periodismo\n",
            "socialperiodismo\n",
            "socialy\n",
            "visual\n",
            "lenguajes\n",
            "corporativas\n",
            "comunicaciones\n",
            "comunicacin\n",
            "corporativa\n",
            "publicas\n",
            "medios\n",
            "digitales\n",
            "multimedia\n",
            "entretenimiento\n",
            "conservacion\n",
            "restauracion\n",
            "bienes\n",
            "muebles\n",
            "construccion\n",
            "ingenieria\n",
            "construcciones\n",
            "civiles\n",
            "contaduria\n",
            "economia\n",
            "solidaria\n",
            "creacion\n",
            "literaria\n",
            "criminalistica\n",
            "culinaria\n",
            "cultura\n",
            "danza\n",
            "coreografica\n",
            "actividada\n",
            "derecho\n",
            "sociales\n",
            "desarrollo\n",
            "familiar\n",
            "banda\n",
            "radio\n",
            "diseno\n",
            "grafico\n",
            "diseo\n",
            "crossmedia\n",
            "grfica\n",
            "diseño\n",
            "espacios\n",
            "escenario\n",
            "escenarios\n",
            "interactivos\n",
            "modas\n",
            "costura\n",
            "vestuario\n",
            "interactivo\n",
            "interior\n",
            "textil\n",
            "producto\n",
            "realizacion\n",
            "ecologia\n",
            "zonas\n",
            "costeras\n",
            "economa\n",
            "enfermeria\n",
            "entrenamiento\n",
            "deportivo\n",
            "español\n",
            "filologia\n",
            "clasica\n",
            "estadistica\n",
            "estudios\n",
            "liberales\n",
            "filosofia\n",
            "literarios\n",
            "edicion\n",
            "politicos\n",
            "resolucion\n",
            "conflictos\n",
            "cultural\n",
            "farmacia\n",
            "idiomas\n",
            "hispanica\n",
            "humanidades\n",
            "letras\n",
            "fisioterapia\n",
            "fonoaudiologia\n",
            "formacion\n",
            "fotografia\n",
            "cocina\n",
            "geociencias\n",
            "geografia\n",
            "organizacion\n",
            "espacio\n",
            "planificacion\n",
            "regional\n",
            "geologia\n",
            "geologa\n",
            "gerencia\n",
            "analisis\n",
            "socio\n",
            "politico\n",
            "gerontologia\n",
            "comunicativa\n",
            "empresarial\n",
            "urbanos\n",
            "gestin\n",
            "asuntos\n",
            "publicos\n",
            "historia\n",
            "patrimonio\n",
            "ecologico\n",
            "agroforestal\n",
            "civil\n",
            "administrativa\n",
            "agricola\n",
            "agroecologica\n",
            "agronomica\n",
            "saneamiento\n",
            "biologica\n",
            "biomedica\n",
            "biotecnologica\n",
            "catastral\n",
            "geodesia\n",
            "alimentos\n",
            "control\n",
            "mantenimiento\n",
            "materiales\n",
            "mercados\n",
            "minas\n",
            "metalurgia\n",
            "petroleos\n",
            "plasticos\n",
            "industriales\n",
            "productividad\n",
            "software\n",
            "sonido\n",
            "transporte\n",
            "electrica\n",
            "electromecanica\n",
            "electronica\n",
            "automatica\n",
            "automatizacion\n",
            "maquinas\n",
            "productos\n",
            "energia\n",
            "energias\n",
            "higiene\n",
            "instrumentacion\n",
            "mecatronica\n",
            "nanotecnologia\n",
            "acuicola\n",
            "telematica\n",
            "topografia\n",
            "forestal\n",
            "geografica\n",
            "geologica\n",
            "matematica\n",
            "mecanica\n",
            "mecatronico\n",
            "metalurgica\n",
            "naval\n",
            "pecuaria\n",
            "pesquera\n",
            "quimica\n",
            "topografica\n",
            "ingeniera\n",
            "elctrica\n",
            "petroleo\n",
            "operaciones\n",
            "universitario\n",
            "oceanografica\n",
            "petroquimica\n",
            "urbana\n",
            "ingeniieria\n",
            "quirurgica\n",
            "interpretacion\n",
            "intrumentacion\n",
            "investigacion\n",
            "criminal\n",
            "jurisprudencia\n",
            "socioculturales\n",
            "lenguas\n",
            "modernas\n",
            "licenciatura\n",
            "ingles\n",
            "frances\n",
            "matematicas\n",
            "pedagogia\n",
            "infantil\n",
            "religiosas\n",
            "literatura\n",
            "lengua\n",
            "castellana\n",
            "folklore\n",
            "teatro\n",
            "escnicas\n",
            "bilinguismo\n",
            "enseñanza\n",
            "basica\n",
            "local\n",
            "educativa\n",
            "deportes\n",
            "mecanicos\n",
            "artistica\n",
            "artisticamusica\n",
            "fisicarecreacion\n",
            "extranjeras\n",
            "humanidadeslengua\n",
            "humanidadesingles\n",
            "idioma\n",
            "extranjero\n",
            "primaria\n",
            "primariaenfasis\n",
            "bilingue\n",
            "bilingueespañolingles\n",
            "comunitaria\n",
            "derechos\n",
            "humanos\n",
            "especial\n",
            "rural\n",
            "inicial\n",
            "primera\n",
            "infancia\n",
            "popular\n",
            "preescolar\n",
            "religiosa\n",
            "biblia\n",
            "educacin\n",
            "artstica\n",
            "bsica\n",
            "nfasis\n",
            "fsica\n",
            "recreacin\n",
            "musica\n",
            "convivencia\n",
            "humano\n",
            "educacon\n",
            "etnoeducacion\n",
            "comunitario\n",
            "etica\n",
            "valores\n",
            "pensamiento\n",
            "economico\n",
            "filosofa\n",
            "extranjeros\n",
            "modernos\n",
            "extranjera\n",
            "inglesespañol\n",
            "castellanaingles\n",
            "inglesa\n",
            "ingls\n",
            "inglesfrances\n",
            "linguistica\n",
            "matemticas\n",
            "reeducativa\n",
            "pedagoga\n",
            "madre\n",
            "tierra\n",
            "rehabilitacion\n",
            "psicologia\n",
            "psicopedagogia\n",
            "asesoria\n",
            "teologia\n",
            "msica\n",
            "maestro\n",
            "marketing\n",
            "aplicadas\n",
            "medicina\n",
            "veterinaria\n",
            "zootecnia\n",
            "publicidad\n",
            "nacional\n",
            "ventas\n",
            "mercadologia\n",
            "microbiologia\n",
            "bioanalisis\n",
            "instrumental\n",
            "instrumento\n",
            "canto\n",
            "narrativas\n",
            "segundo\n",
            "nutricion\n",
            "dietetica\n",
            "oceanografia\n",
            "odontologia\n",
            "optometria\n",
            "opinion\n",
            "planeacion\n",
            "agroindustria\n",
            "gastronomicas\n",
            "interiores\n",
            "gastronoma\n",
            "laboral\n",
            "industria\n",
            "programa\n",
            "psicologa\n",
            "creativo\n",
            "farmaceutica\n",
            "qumica\n",
            "farmacutica\n",
            "economicas\n",
            "sociologia\n",
            "terapia\n",
            "cardiorrespiratoria\n",
            "respiratoria\n",
            "terapias\n",
            "psicosociales\n",
            "traduccion\n",
            "inglesfrancesespañol\n",
            "urbanismo\n",
            "El numero de candidatos son 446\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Now we compare the words with each other to see if they are similar (edit distance)\n",
        "# If the edit distance is less than 3, we consider the words similar and combine the results in a single word\n",
        "# Finally, the resulting dict will have a 3rd value with the similar words it absorbed\n",
        "# Final dict: {word: {total: int, first: int, similar: [word1, word2, ...]}}\n",
        "\n",
        "words = absorb(words, 4)\n",
        "\n",
        "# Sort the dict by the number of times the word appears first in the careers\n",
        "words = {k: v for k, v in sorted(words.items(), key=lambda item: item[1]['first'], reverse=False)}\n",
        "print(len(words))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hmzEhj0t_3m_",
        "outputId": "ca95886c-6df0-4f2e-e065-decb340d7228"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "132\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "c = 0\n",
        "for candidate, info in words.items():\n",
        "    if len(info['similar']) == 0:\n",
        "        continue\n",
        "\n",
        "    print(f'{candidate}: {info}')\n",
        "    c += 1\n",
        "\n",
        "print(c)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "0ge5ebTv2ICI",
        "outputId": "5b9a5db0-b228-42d7-ee4c-bf29a57f97a8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "internacionales: {'total': 32, 'first': 0, 'similar': ['internacional']}\n",
            "turistica: {'total': 6, 'first': 0, 'similar': ['turismo', 'logistica', 'estadistica', 'quimica', 'musica']}\n",
            "social: {'total': 17, 'first': 0, 'similar': ['musical', 'cine', 'visual']}\n",
            "publica: {'total': 11, 'first': 0, 'similar': ['musical', 'quimica', 'musica', 'publicidad', 'qumica']}\n",
            "musical: {'total': 4, 'first': 0, 'similar': ['visual', 'quimica', 'musica', 'qumica']}\n",
            "educacion: {'total': 107, 'first': 0, 'similar': ['creacion', 'traduccion']}\n",
            "visual: {'total': 8, 'first': 0, 'similar': ['diseo', 'diseño']}\n",
            "medios: {'total': 7, 'first': 0, 'similar': ['estudios', 'musica', 'medicina']}\n",
            "fisica: {'total': 33, 'first': 1, 'similar': ['turistica', 'logistica', 'publica', 'musical', 'ciencia', 'visual', 'diseo', 'diseño', 'quimica', 'musica', 'qumica']}\n",
            "turismo: {'total': 7, 'first': 1, 'similar': ['diseo', 'urbanismo']}\n",
            "salud: {'total': 18, 'first': 1, 'similar': ['arte', 'danza']}\n",
            "produccion: {'total': 12, 'first': 1, 'similar': ['educacion', 'traduccion']}\n",
            "computacion: {'total': 6, 'first': 1, 'similar': ['comunicacion']}\n",
            "recreacion: {'total': 16, 'first': 1, 'similar': ['educacion', 'creacion', 'realizacion']}\n",
            "matematica: {'total': 3, 'first': 1, 'similar': ['matematicas']}\n",
            "pedagogia: {'total': 9, 'first': 1, 'similar': ['teologia']}\n",
            "teatro: {'total': 4, 'first': 1, 'similar': ['terapia']}\n",
            "psicologia: {'total': 3, 'first': 1, 'similar': ['teologia', 'psicologa', 'sociologia']}\n",
            "teologia: {'total': 3, 'first': 1, 'similar': ['sociologia', 'terapia']}\n",
            "logistica: {'total': 9, 'first': 2, 'similar': ['linguistica']}\n",
            "animacion: {'total': 2, 'first': 2, 'similar': ['informacion', 'educacion', 'creacion', 'realizacion']}\n",
            "arqueologia: {'total': 1, 'first': 2, 'similar': ['geologia', 'teologia']}\n",
            "gastronomia: {'total': 8, 'first': 2, 'similar': ['astronomia', 'gastronoma']}\n",
            "astronomia: {'total': 1, 'first': 2, 'similar': ['economia', 'gastronoma']}\n",
            "bibliotecologia: {'total': 4, 'first': 2, 'similar': ['biotecnologia']}\n",
            "bioquimica: {'total': 2, 'first': 2, 'similar': ['quimica', 'qumica']}\n",
            "comunicaciones: {'total': 3, 'first': 2, 'similar': ['comunicacin']}\n",
            "conservacion: {'total': 1, 'first': 2, 'similar': ['construccion']}\n",
            "economa: {'total': 1, 'first': 2, 'similar': ['geologa']}\n",
            "filologia: {'total': 5, 'first': 2, 'similar': ['filosofia', 'geologia', 'geologa', 'psicologia', 'teologia', 'psicologa', 'sociologia']}\n",
            "farmacia: {'total': 2, 'first': 2, 'similar': ['terapia']}\n",
            "geologa: {'total': 1, 'first': 2, 'similar': ['teologia', 'psicologa']}\n",
            "gerontologia: {'total': 1, 'first': 2, 'similar': ['mercadologia', 'odontologia']}\n",
            "psicologa: {'total': 1, 'first': 2, 'similar': ['sociologia']}\n",
            "agronomia: {'total': 2, 'first': 3, 'similar': ['gastronomia', 'astronomia', 'economia', 'economa', 'geologia', 'gastronoma']}\n",
            "bacteriologia: {'total': 2, 'first': 3, 'similar': ['biotecnologia']}\n",
            "bioingenieria: {'total': 2, 'first': 3, 'similar': ['ingenieria', 'ingeniera']}\n",
            "economia: {'total': 4, 'first': 3, 'similar': ['ecologia', 'economa', 'geologia', 'teologia']}\n",
            "danza: {'total': 6, 'first': 3, 'similar': ['diseo']}\n",
            "fotografia: {'total': 3, 'first': 3, 'similar': ['geografia']}\n",
            "geologia: {'total': 2, 'first': 3, 'similar': ['geologa', 'gerontologia', 'pedagogia', 'psicologia', 'teologia', 'sociologia']}\n",
            "odontologia: {'total': 2, 'first': 3, 'similar': ['sociologia']}\n",
            "negocios: {'total': 21, 'first': 4, 'similar': ['agronegocios', 'medios']}\n",
            "deporte: {'total': 27, 'first': 4, 'similar': ['deportiva', 'arte']}\n",
            "direccion: {'total': 7, 'first': 4, 'similar': ['recreacion', 'creacion', 'derecho']}\n",
            "arte: {'total': 7, 'first': 4, 'similar': ['artes', 'cine', 'danza', 'diseo']}\n",
            "construccion: {'total': 3, 'first': 4, 'similar': ['construcciones']}\n",
            "derecho: {'total': 3, 'first': 4, 'similar': ['diseo', 'diseño']}\n",
            "diseo: {'total': 3, 'first': 4, 'similar': ['diseño']}\n",
            "ecologia: {'total': 4, 'first': 4, 'similar': ['economa', 'filologia', 'geologia', 'geologa', 'pedagogia', 'psicologia', 'teologia', 'mercadologia', 'psicologa', 'sociologia']}\n",
            "geografia: {'total': 3, 'first': 4, 'similar': ['geologia', 'oceanografia', 'terapia']}\n",
            "musica: {'total': 8, 'first': 4, 'similar': ['medicina', 'qumica']}\n",
            "terapia: {'total': 3, 'first': 4, 'similar': ['terapias']}\n",
            "comercio: {'total': 10, 'first': 5, 'similar': ['ciencia', 'creacion']}\n",
            "finanzas: {'total': 17, 'first': 5, 'similar': ['danza']}\n",
            "cine: {'total': 6, 'first': 5, 'similar': ['danza', 'diseo', 'diseño']}\n",
            "gestion: {'total': 18, 'first': 6, 'similar': ['medios', 'creacion', 'estudios', 'teatro']}\n",
            "biologia: {'total': 10, 'first': 6, 'similar': ['economia', 'ecologia', 'filologia', 'filosofia', 'geologia', 'geologa', 'historia', 'psicologia', 'teologia', 'psicologa', 'sociologia']}\n",
            "quimica: {'total': 12, 'first': 6, 'similar': ['quirurgica', 'musica', 'qumica']}\n",
            "ciencia: {'total': 6, 'first': 7, 'similar': ['ciencias', 'cine', 'creacion', 'geociencias']}\n",
            "artes: {'total': 23, 'first': 11, 'similar': ['cine', 'diseo']}\n",
            "ciencias: {'total': 42, 'first': 16, 'similar': ['creacion', 'geociencias', 'lenguas']}\n",
            "comunicacion: {'total': 35, 'first': 27, 'similar': ['comunicaciones', 'comunicacin']}\n",
            "administracion: {'total': 84, 'first': 84, 'similar': ['administracin']}\n",
            "ingenieria: {'total': 121, 'first': 120, 'similar': ['enfermeria', 'ingeniera']}\n",
            "licenciatura: {'total': 209, 'first': 210, 'similar': ['literatura']}\n",
            "66\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Now iterate over the words showing the results of only the main words with similar words, present the option to accept or reject the merge of the words\n",
        "# If the merge is rejected, the word will be removed from the list of similar words of the main word\n",
        "# If the merge is accepted, the similar word will be removed from the list of words and the main word will have the total and first values updated\n",
        "# If the merge is accepted, the similar words of the similar word will be added to the main word and the similar word will be removed from the list of words\n",
        "\n",
        "print(\"Want to merge all without review? (y/n)\")\n",
        "option = input(\"> \")\n",
        "\n",
        "toRemove = []\n",
        "\n",
        "copy = words.copy()\n",
        "\n",
        "if option == 'y':\n",
        "    for candidate, info in words.items():\n",
        "        for similar in info['similar']:\n",
        "            words[candidate]['total'] += words[similar]['total']\n",
        "            words[candidate]['first'] += words[similar]['first']\n",
        "            words[candidate]['similar'] += words[similar]['similar']\n",
        "            toRemove.append(similar)\n",
        "\n",
        "    for e in toRemove:\n",
        "      if e in words:\n",
        "          del words[e]\n",
        "\n",
        "else:\n",
        "  for candidate, info in words.items():\n",
        "      option = \"\"\n",
        "\n",
        "      if len(info['similar']) == 0:\n",
        "          continue\n",
        "\n",
        "      elif len(info['similar']) == 1:\n",
        "        option = \"s\"\n",
        "\n",
        "      else:\n",
        "        print(f'{candidate}: {info[\"similar\"]}')\n",
        "        print('Review Type? (a)ll | (s)eparate | (p)artial')\n",
        "        option = input(\"> \")\n",
        "\n",
        "        while option not in ['a', 's', 'p']:\n",
        "              print(f'{candidate}: {info[\"similar\"]}')\n",
        "              print(\"Invalid option, choose again\")\n",
        "              print('Review Type? (a)ll | (s)eparate | (p)artial')\n",
        "              option = input(\"> \")\n",
        "\n",
        "      if option == 'a':\n",
        "          print('Discard all or merge all? (d)iscard | (m)erge)')\n",
        "          option = input(\"> \")\n",
        "\n",
        "          while option not in ['d', 'm']:\n",
        "              print(f'{candidate}: {info[\"similar\"]}')\n",
        "              print(\"Invalid option, choose again\")\n",
        "              print('Discard all or merge all? (d)iscard | (m)erge)')\n",
        "              option = input(\"> \")\n",
        "\n",
        "          if option == 'd':\n",
        "              words[candidate]['similar'] = []\n",
        "\n",
        "          elif option == 'm':\n",
        "              toRemove += info['similar']\n",
        "\n",
        "              for similar in info['similar']:\n",
        "                  words[candidate]['total'] += words[similar]['total']\n",
        "                  words[candidate]['first'] += words[similar]['first']\n",
        "                  words[candidate]['similar'] += words[similar]['similar']\n",
        "\n",
        "\n",
        "      elif option == 'p':\n",
        "          print('Discard or merge selection? (d)iscard | (m)erge)')\n",
        "          option = input(\"> \")\n",
        "\n",
        "          while option not in ['d', 'm']:\n",
        "              print(f'{candidate}: {info[\"similar\"]}')\n",
        "              print(\"Invalid option, choose again\")\n",
        "              print('Discard all or merge all? (d)iscard | (m)erge)')\n",
        "              option = input(\"> \")\n",
        "\n",
        "          toUse = []\n",
        "          newWord = \"\"\n",
        "\n",
        "          while newWord != 'done':\n",
        "            texts = {'d': 'discard', 'm': 'merge'}\n",
        "            print(f\"Enter a word to {texts[option]} or 'done' to finish\")\n",
        "            newWord = input(\"> \")\n",
        "\n",
        "            if newWord in info[\"similar\"]:\n",
        "              toUse.append(newWord)\n",
        "\n",
        "          if option == 'd':\n",
        "              for similar in toUse:\n",
        "                  words[candidate]['similar'].remove(similar)\n",
        "\n",
        "          if option == 'm':\n",
        "              for similar in toUse:\n",
        "                  words[candidate]['total'] += words[similar]['total']\n",
        "                  words[candidate]['first'] += words[similar]['first']\n",
        "                  words[candidate]['similar'] += words[similar]['similar']\n",
        "                  toRemove.append(similar)\n",
        "\n",
        "      elif option == 's':\n",
        "        dropPending = []\n",
        "\n",
        "        for i in range(len(info['similar'])):\n",
        "            size = len(info['similar'])\n",
        "            similar d= info['similar'][i]\n",
        "            print(f'{i}|{size} - {candidate}: {similar}')\n",
        "            drop = input('Drop? (y/n): ')\n",
        "\n",
        "            if drop == 'y':\n",
        "                dropPending.append(similar)\n",
        "\n",
        "            else:\n",
        "                words[candidate]['total'] += words[similar]['total']\n",
        "                words[candidate]['first'] += words[similar]['first']\n",
        "                words[candidate]['similar'] += words[similar]['similar']\n",
        "                toRemove.append(similar)\n",
        "\n",
        "        for w in dropPending:\n",
        "            words[candidate]['similar'].remove(w)\n",
        "\n",
        "for e in toRemove:\n",
        "    if e in words:\n",
        "        del words[e]\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wnpp8xOfDp3H",
        "outputId": "90121931-23f0-4eb6-895b-204f5ecc7453"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Want to merge all without review? (y/n)\n",
            "> n\n",
            "0|1 - internacionales: internacional\n",
            "Drop? (y/n): n\n",
            "turistica: ['turismo', 'logistica', 'estadistica', 'quimica', 'musica']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> p\n",
            "Discard or merge selection? (d)iscard | (m)erge)\n",
            "> m\n",
            "Enter a word to merge or 'done' to finish\n",
            "> turismo\n",
            "Enter a word to merge or 'done' to finish\n",
            "> done\n",
            "social: ['musical', 'cine', 'visual']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "publica: ['musical', 'quimica', 'musica', 'publicidad', 'qumica']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "musical: ['visual', 'quimica', 'musica', 'qumica']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> p\n",
            "Discard or merge selection? (d)iscard | (m)erge)\n",
            "> m\n",
            "Enter a word to merge or 'done' to finish\n",
            "> musica\n",
            "Enter a word to merge or 'done' to finish\n",
            "> done\n",
            "educacion: ['creacion', 'traduccion']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "visual: ['diseo', 'diseño']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "medios: ['estudios', 'musica', 'medicina']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "fisica: ['turistica', 'logistica', 'publica', 'musical', 'ciencia', 'visual', 'diseo', 'diseño', 'quimica', 'musica', 'qumica']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "turismo: ['diseo', 'urbanismo']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "salud: ['arte', 'danza']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "produccion: ['educacion', 'traduccion']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "0|1 - computacion: comunicacion\n",
            "Drop? (y/n): y\n",
            "recreacion: ['educacion', 'creacion', 'realizacion']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "0|1 - matematica: matematicas\n",
            "Drop? (y/n): n\n",
            "0|1 - pedagogia: teologia\n",
            "Drop? (y/n): y\n",
            "0|1 - teatro: terapia\n",
            "Drop? (y/n): y\n",
            "psicologia: ['teologia', 'psicologa', 'sociologia']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> p\n",
            "Discard or merge selection? (d)iscard | (m)erge)\n",
            "> m\n",
            "Enter a word to merge or 'done' to finish\n",
            "> psicologa\n",
            "Enter a word to merge or 'done' to finish\n",
            "> done\n",
            "teologia: ['sociologia', 'terapia']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "0|1 - logistica: linguistica\n",
            "Drop? (y/n): y\n",
            "animacion: ['informacion', 'educacion', 'creacion', 'realizacion']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "arqueologia: ['geologia', 'teologia']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "gastronomia: ['astronomia', 'gastronoma']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> p\n",
            "Discard or merge selection? (d)iscard | (m)erge)\n",
            "> m\n",
            "Enter a word to merge or 'done' to finish\n",
            "> gastronoma\n",
            "Enter a word to merge or 'done' to finish\n",
            "> done\n",
            "astronomia: ['economia', 'gastronoma']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "0|1 - bibliotecologia: biotecnologia\n",
            "Drop? (y/n): y\n",
            "bioquimica: ['quimica', 'qumica']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> m\n",
            "0|1 - comunicaciones: comunicacin\n",
            "Drop? (y/n): n\n",
            "0|1 - conservacion: construccion\n",
            "Drop? (y/n): y\n",
            "0|1 - economa: geologa\n",
            "Drop? (y/n): y\n",
            "filologia: ['filosofia', 'geologia', 'geologa', 'psicologia', 'teologia', 'psicologa', 'sociologia']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "0|1 - farmacia: terapia\n",
            "Drop? (y/n): n\n",
            "geologa: ['teologia', 'psicologa']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "gerontologia: ['mercadologia', 'odontologia']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "0|1 - psicologa: sociologia\n",
            "Drop? (y/n): n\n",
            "agronomia: ['gastronomia', 'astronomia', 'economia', 'economa', 'geologia', 'gastronoma']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "0|1 - bacteriologia: biotecnologia\n",
            "Drop? (y/n): y\n",
            "bioingenieria: ['ingenieria', 'ingeniera']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> m\n",
            "economia: ['ecologia', 'economa', 'geologia', 'teologia']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> p\n",
            "Discard or merge selection? (d)iscard | (m)erge)\n",
            "> m\n",
            "Enter a word to merge or 'done' to finish\n",
            "> economa\n",
            "Enter a word to merge or 'done' to finish\n",
            "> done\n",
            "0|1 - danza: diseo\n",
            "Drop? (y/n): y\n",
            "0|1 - fotografia: geografia\n",
            "Drop? (y/n): y\n",
            "geologia: ['geologa', 'gerontologia', 'pedagogia', 'psicologia', 'teologia', 'sociologia']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> p\n",
            "Discard or merge selection? (d)iscard | (m)erge)\n",
            "> m\n",
            "Enter a word to merge or 'done' to finish\n",
            "> geologa\n",
            "Enter a word to merge or 'done' to finish\n",
            "> done\n",
            "0|1 - odontologia: sociologia\n",
            "Drop? (y/n): y\n",
            "negocios: ['agronegocios', 'medios']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> p\n",
            "Discard or merge selection? (d)iscard | (m)erge)\n",
            "> d\n",
            "Enter a word to discard or 'done' to finish\n",
            "> medios\n",
            "Enter a word to discard or 'done' to finish\n",
            "> done\n",
            "deporte: ['deportiva', 'arte']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> p\n",
            "Discard or merge selection? (d)iscard | (m)erge)\n",
            "> d\n",
            "Enter a word to discard or 'done' to finish\n",
            "> arte\n",
            "Enter a word to discard or 'done' to finish\n",
            "> done\n",
            "direccion: ['recreacion', 'creacion', 'derecho']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "arte: ['artes', 'cine', 'danza', 'diseo']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> m\n",
            "0|1 - construccion: construcciones\n",
            "Drop? (y/n): n\n",
            "derecho: ['diseo', 'diseño']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "0|1 - diseo: diseño\n",
            "Drop? (y/n): n\n",
            "ecologia: ['economa', 'filologia', 'geologia', 'geologa', 'pedagogia', 'psicologia', 'teologia', 'mercadologia', 'psicologa', 'sociologia']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "geografia: ['geologia', 'oceanografia', 'terapia']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "musica: ['medicina', 'qumica']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "0|1 - terapia: terapias\n",
            "Drop? (y/n): n\n",
            "comercio: ['ciencia', 'creacion']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "0|1 - finanzas: danza\n",
            "Drop? (y/n): y\n",
            "cine: ['danza', 'diseo', 'diseño']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> m\n",
            "gestion: ['medios', 'creacion', 'estudios', 'teatro']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "biologia: ['economia', 'ecologia', 'filologia', 'filosofia', 'geologia', 'geologa', 'historia', 'psicologia', 'teologia', 'psicologa', 'sociologia']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> d\n",
            "quimica: ['quirurgica', 'musica', 'qumica']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> p\n",
            "Discard or merge selection? (d)iscard | (m)erge)\n",
            "> m\n",
            "Enter a word to merge or 'done' to finish\n",
            "> qumica\n",
            "Enter a word to merge or 'done' to finish\n",
            "> done\n",
            "ciencia: ['ciencias', 'cine', 'creacion', 'geociencias']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> s\n",
            "0|4 - ciencia: ciencias\n",
            "Drop? (y/n): n\n",
            "1|7 - ciencia: cine\n",
            "Drop? (y/n): y\n",
            "2|7 - ciencia: creacion\n",
            "Drop? (y/n): y\n",
            "3|7 - ciencia: geociencias\n",
            "Drop? (y/n): n\n",
            "artes: ['cine', 'diseo']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> m\n",
            "ciencias: ['creacion', 'geociencias', 'lenguas']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> p\n",
            "Discard or merge selection? (d)iscard | (m)erge)\n",
            "> m\n",
            "Enter a word to merge or 'done' to finish\n",
            "> geociencias\n",
            "Enter a word to merge or 'done' to finish\n",
            "> done\n",
            "comunicacion: ['comunicaciones', 'comunicacin']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> a\n",
            "Discard all or merge all? (d)iscard | (m)erge)\n",
            "> m\n",
            "0|1 - administracion: administracin\n",
            "Drop? (y/n): n\n",
            "ingenieria: ['enfermeria', 'ingeniera']\n",
            "Review Type? (a)ll | (s)eparate | (p)artial\n",
            "> s\n",
            "0|2 - ingenieria: enfermeria\n",
            "Drop? (y/n): y\n",
            "1|2 - ingenieria: ingeniera\n",
            "Drop? (y/n): n\n",
            "0|1 - licenciatura: literatura\n",
            "Drop? (y/n): n\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Print results\n",
        "for candidate, info in words.items():\n",
        "    print(f'{candidate}: {info}')\n",
        "\n",
        "print(len(words))"
      ],
      "metadata": {
        "id": "ccyoJegVEejo",
        "collapsed": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "803d259f-3114-421a-d7f2-5923d76c2128"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "internacionales: {'total': 41, 'first': 0, 'similar': ['internacional']}\n",
            "ambiental: {'total': 25, 'first': 0, 'similar': []}\n",
            "empresas: {'total': 20, 'first': 0, 'similar': []}\n",
            "turistica: {'total': 13, 'first': 1, 'similar': ['turismo', 'logistica', 'estadistica', 'quimica', 'musica', 'diseo', 'urbanismo']}\n",
            "social: {'total': 17, 'first': 0, 'similar': []}\n",
            "deportiva: {'total': 2, 'first': 0, 'similar': []}\n",
            "enfasis: {'total': 70, 'first': 0, 'similar': []}\n",
            "industrial: {'total': 15, 'first': 0, 'similar': []}\n",
            "publica: {'total': 11, 'first': 0, 'similar': []}\n",
            "agronegocios: {'total': 2, 'first': 0, 'similar': []}\n",
            "musical: {'total': 12, 'first': 4, 'similar': ['visual', 'quimica', 'musica', 'qumica', 'medicina', 'qumica']}\n",
            "informacion: {'total': 10, 'first': 0, 'similar': []}\n",
            "educacion: {'total': 107, 'first': 0, 'similar': []}\n",
            "visual: {'total': 8, 'first': 0, 'similar': []}\n",
            "medios: {'total': 7, 'first': 0, 'similar': []}\n",
            "digitales: {'total': 4, 'first': 0, 'similar': []}\n",
            "grafico: {'total': 7, 'first': 0, 'similar': []}\n",
            "humanidades: {'total': 20, 'first': 0, 'similar': []}\n",
            "software: {'total': 6, 'first': 0, 'similar': []}\n",
            "quirurgica: {'total': 3, 'first': 0, 'similar': []}\n",
            "agroindustria: {'total': 2, 'first': 0, 'similar': []}\n",
            "fisica: {'total': 33, 'first': 1, 'similar': []}\n",
            "seguridad: {'total': 14, 'first': 1, 'similar': []}\n",
            "salud: {'total': 18, 'first': 1, 'similar': []}\n",
            "produccion: {'total': 12, 'first': 1, 'similar': []}\n",
            "arquitectura: {'total': 4, 'first': 1, 'similar': []}\n",
            "computacion: {'total': 6, 'first': 1, 'similar': []}\n",
            "recreacion: {'total': 16, 'first': 1, 'similar': []}\n",
            "realizacion: {'total': 2, 'first': 1, 'similar': []}\n",
            "matematica: {'total': 18, 'first': 5, 'similar': ['matematicas']}\n",
            "pedagogia: {'total': 9, 'first': 1, 'similar': []}\n",
            "teatro: {'total': 4, 'first': 1, 'similar': []}\n",
            "psicologia: {'total': 4, 'first': 3, 'similar': ['teologia', 'psicologa', 'sociologia', 'sociologia']}\n",
            "teologia: {'total': 3, 'first': 1, 'similar': []}\n",
            "zootecnia: {'total': 2, 'first': 1, 'similar': []}\n",
            "acuicultura: {'total': 1, 'first': 2, 'similar': []}\n",
            "logistica: {'total': 9, 'first': 2, 'similar': []}\n",
            "sistemas: {'total': 18, 'first': 2, 'similar': []}\n",
            "animacion: {'total': 2, 'first': 2, 'similar': []}\n",
            "archivistica: {'total': 3, 'first': 2, 'similar': []}\n",
            "arqueologia: {'total': 1, 'first': 2, 'similar': []}\n",
            "gastronomia: {'total': 9, 'first': 2, 'similar': ['astronomia', 'gastronoma']}\n",
            "astronomia: {'total': 1, 'first': 2, 'similar': []}\n",
            "bibliotecologia: {'total': 4, 'first': 2, 'similar': []}\n",
            "bioquimica: {'total': 31, 'first': 22, 'similar': ['quimica', 'qumica', 'quirurgica', 'musica', 'qumica', 'medicina', 'qumica']}\n",
            "biotecnologia: {'total': 1, 'first': 2, 'similar': []}\n",
            "gobierno: {'total': 5, 'first': 2, 'similar': []}\n",
            "periodismo: {'total': 15, 'first': 2, 'similar': []}\n",
            "conservacion: {'total': 1, 'first': 2, 'similar': []}\n",
            "creacion: {'total': 1, 'first': 2, 'similar': []}\n",
            "criminalistica: {'total': 2, 'first': 2, 'similar': []}\n",
            "entrenamiento: {'total': 2, 'first': 2, 'similar': []}\n",
            "español: {'total': 11, 'first': 2, 'similar': []}\n",
            "filologia: {'total': 5, 'first': 2, 'similar': []}\n",
            "farmacia: {'total': 5, 'first': 6, 'similar': ['terapia', 'terapias']}\n",
            "fisioterapia: {'total': 1, 'first': 2, 'similar': []}\n",
            "fonoaudiologia: {'total': 1, 'first': 2, 'similar': []}\n",
            "gerontologia: {'total': 1, 'first': 2, 'similar': []}\n",
            "instrumentacion: {'total': 3, 'first': 2, 'similar': []}\n",
            "jurisprudencia: {'total': 1, 'first': 2, 'similar': []}\n",
            "linguistica: {'total': 3, 'first': 2, 'similar': []}\n",
            "mercadologia: {'total': 1, 'first': 2, 'similar': []}\n",
            "traduccion: {'total': 1, 'first': 2, 'similar': []}\n",
            "urbanismo: {'total': 1, 'first': 2, 'similar': []}\n",
            "agronomia: {'total': 2, 'first': 3, 'similar': []}\n",
            "antropologia: {'total': 2, 'first': 3, 'similar': []}\n",
            "bacteriologia: {'total': 2, 'first': 3, 'similar': []}\n",
            "bioingenieria: {'total': 133, 'first': 136, 'similar': ['ingenieria', 'ingeniera', 'enfermeria', 'ingeniera']}\n",
            "economia: {'total': 5, 'first': 5, 'similar': ['ecologia', 'economa', 'geologia', 'teologia']}\n",
            "desarrollo: {'total': 8, 'first': 3, 'similar': []}\n",
            "enfermeria: {'total': 2, 'first': 3, 'similar': []}\n",
            "estadistica: {'total': 4, 'first': 3, 'similar': []}\n",
            "filosofia: {'total': 15, 'first': 3, 'similar': []}\n",
            "fotografia: {'total': 3, 'first': 3, 'similar': []}\n",
            "geologia: {'total': 3, 'first': 5, 'similar': ['geologa', 'gerontologia', 'pedagogia', 'psicologia', 'teologia', 'sociologia']}\n",
            "investigacion: {'total': 3, 'first': 3, 'similar': []}\n",
            "oceanografia: {'total': 2, 'first': 3, 'similar': []}\n",
            "odontologia: {'total': 2, 'first': 3, 'similar': []}\n",
            "optometria: {'total': 2, 'first': 3, 'similar': []}\n",
            "negocios: {'total': 21, 'first': 4, 'similar': ['agronegocios']}\n",
            "deporte: {'total': 27, 'first': 4, 'similar': ['deportiva']}\n",
            "direccion: {'total': 7, 'first': 4, 'similar': []}\n",
            "arte: {'total': 342, 'first': 224, 'similar': ['artes', 'cine', 'danza', 'diseo', 'cine', 'diseo', 'danza', 'diseo', 'diseño', 'diseño', 'danza', 'diseo', 'diseño', 'diseño', 'diseño', 'diseño']}\n",
            "construccion: {'total': 4, 'first': 6, 'similar': ['construcciones']}\n",
            "derecho: {'total': 3, 'first': 4, 'similar': []}\n",
            "ecologia: {'total': 4, 'first': 4, 'similar': []}\n",
            "geografia: {'total': 3, 'first': 4, 'similar': []}\n",
            "lenguas: {'total': 21, 'first': 4, 'similar': []}\n",
            "marketing: {'total': 7, 'first': 4, 'similar': []}\n",
            "medicina: {'total': 3, 'first': 4, 'similar': []}\n",
            "comercio: {'total': 10, 'first': 5, 'similar': []}\n",
            "finanzas: {'total': 17, 'first': 5, 'similar': []}\n",
            "historia: {'total': 6, 'first': 5, 'similar': []}\n",
            "publicidad: {'total': 10, 'first': 5, 'similar': []}\n",
            "nutricion: {'total': 4, 'first': 5, 'similar': []}\n",
            "gestion: {'total': 18, 'first': 6, 'similar': []}\n",
            "biologia: {'total': 10, 'first': 6, 'similar': []}\n",
            "microbiologia: {'total': 5, 'first': 6, 'similar': []}\n",
            "ciencia: {'total': 49, 'first': 25, 'similar': ['ciencias', 'geociencias', 'creacion', 'geociencias', 'lenguas']}\n",
            "mercadeo: {'total': 18, 'first': 8, 'similar': []}\n",
            "estudios: {'total': 9, 'first': 8, 'similar': []}\n",
            "contaduria: {'total': 10, 'first': 10, 'similar': []}\n",
            "comunicacion: {'total': 50, 'first': 41, 'similar': ['comunicaciones', 'comunicacin', 'comunicacin']}\n",
            "administracion: {'total': 88, 'first': 88, 'similar': ['administracin']}\n",
            "licenciatura: {'total': 217, 'first': 211, 'similar': ['literatura']}\n",
            "105\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Now, we will generate a dict with the words as keys and the values as the id of the careers that use the word as key\n",
        "# The careers will generate a key with the sanitized name of the career, then split the sanitized name and see the words that are in the words dict\n",
        "# The word selected will be the one with the highest number in 'first' or if 'first' is 80% of another word 'first' value and wins in 'total' by at least 20%\n",
        "# The word selected can be the key of the words dict or a similar word\n",
        "grouped = {}\n",
        "parentOf = lambda key: key if key in words else next((k for k, v in words.items() if key in v['similar']), 'none')\n",
        "validKey = lambda key: parentOf(key) != 'none'\n",
        "unsafePointsOf = lambda word, pointType: words[word][pointType] if word in words else words[parentOf(word)][pointType]\n",
        "pointsOf = lambda word, pointType: words[word][pointType] if word in words else words[parentOf(word)][pointType] if parentOf(word) != 'none' else 0\n",
        "\n",
        "for i, career in data.items():\n",
        "    candidates = career['sanitized'].split(' ')\n",
        "    selected = None\n",
        "\n",
        "    for candidate in candidates:\n",
        "        if validKey(candidate):\n",
        "            if selected is None:\n",
        "                selected = candidate\n",
        "            else:\n",
        "                hasMoreFirst = unsafePointsOf(candidate, 'first') > unsafePointsOf(selected, 'first')\n",
        "                isCloseToFirst = unsafePointsOf(candidate, 'first') >= unsafePointsOf(selected, 'first') * 0.8\n",
        "                isMorePopular = unsafePointsOf(candidate, 'total') >= unsafePointsOf(selected, 'total') * 1.2\n",
        "\n",
        "                if hasMoreFirst or (isCloseToFirst and isMorePopular):\n",
        "                    selected = candidate\n",
        "\n",
        "    if selected is not None:\n",
        "        grouped[selected] = grouped.get(selected, []) + [i]\n",
        "        continue\n",
        "\n",
        "    else:\n",
        "        print(f'No word selected for {career[\"name\"]}')\n",
        "        grouped['none'] = grouped.get('none', []) + [i]\n",
        "\n",
        "print(len(grouped.get('none', [])))"
      ],
      "metadata": {
        "id": "pZnoo7CDENDD",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "78be5372-6db5-4871-a627-84b076989feb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Print the groups formed\n",
        "for name, group in grouped.items():\n",
        "    print(f\"{name}: {group}\")\n",
        "\n",
        "print(len(grouped))"
      ],
      "metadata": {
        "id": "_QSkXVSFEhZ3",
        "collapsed": true,
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "abf854e2-d901-48a0-e300-3ba1782b11c9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "negocios: [0, 185, 297, 325, 803, 835, 836, 838, 882, 892, 897]\n",
            "deporte: [1, 241, 242, 245, 246, 247, 248, 331, 857, 869]\n",
            "acuicultura: [2]\n",
            "administracion: [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 74, 75, 77, 78, 81, 84, 85, 88, 89, 91, 94, 95, 96, 98, 99, 100, 105, 859]\n",
            "administracin: [71, 72, 73, 261]\n",
            "turistica: [109]\n",
            "empresas: [110]\n",
            "agronomia: [111, 112]\n",
            "animacion: [113, 925]\n",
            "antropologia: [114]\n",
            "archivistica: [116]\n",
            "arqueologia: [117]\n",
            "arquitectura: [118]\n",
            "arte: [119, 120, 121, 359, 554, 555, 556]\n",
            "artes: [122, 123, 124, 125, 126, 128, 129, 130, 131, 134, 140, 306, 490, 557, 558, 559, 560, 562, 563, 564, 593, 663, 862]\n",
            "astronomia: [135]\n",
            "bacteriologia: [136, 137]\n",
            "finanzas: [138, 139, 183, 184, 296, 322, 323, 324, 326, 837, 863]\n",
            "bibliotecologia: [141]\n",
            "bioingenieria: [142]\n",
            "biologia: [144, 145, 146, 147]\n",
            "bioquimica: [150]\n",
            "biotecnologia: [151]\n",
            "ciencia: [152, 153, 154, 155, 156, 157]\n",
            "ciencias: [160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 250, 252, 809, 864]\n",
            "cine: [176, 177, 178, 179, 256, 865]\n",
            "comercio: [181, 182]\n",
            "computacion: [186]\n",
            "comunicacion: [187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 213, 214, 215, 219, 221, 222, 333, 866]\n",
            "comunicaciones: [208]\n",
            "comunicacin: [209, 210, 211, 262]\n",
            "conservacion: [223]\n",
            "construccion: [224]\n",
            "ingenieria: [225, 364, 365, 366, 367, 368, 369, 370, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 470, 471, 476, 480, 487, 493, 510, 511, 512, 513, 515, 523, 527, 528, 531]\n",
            "gestion: [226, 348, 349, 350, 351, 353, 354, 888]\n",
            "construcciones: [227]\n",
            "contaduria: [228, 229, 230, 231, 232, 233, 234, 235, 236, 867]\n",
            "creacion: [238]\n",
            "criminalistica: [239, 868]\n",
            "gastronomia: [240, 335, 336, 855, 883, 886, 901]\n",
            "danza: [243, 244, 586, 592, 628, 769]\n",
            "derecho: [249]\n",
            "desarrollo: [253, 254, 851]\n",
            "direccion: [255, 257, 258, 870]\n",
            "grafico: [259]\n",
            "diseo: [260]\n",
            "diseño: [263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 388, 428, 429, 505, 588, 854, 871, 872, 873, 874, 875, 876, 878, 879, 887, 903, 904]\n",
            "ecologia: [292, 293]\n",
            "economia: [295]\n",
            "economa: [298]\n",
            "enfermeria: [300]\n",
            "entrenamiento: [302, 880]\n",
            "español: [303]\n",
            "estadistica: [304]\n",
            "estudios: [307, 308, 309, 310, 311, 312, 540, 929]\n",
            "farmacia: [314, 919]\n",
            "filologia: [315, 316, 544]\n",
            "filosofia: [317, 318, 319, 881]\n",
            "fisica: [327]\n",
            "fisioterapia: [328]\n",
            "fonoaudiologia: [329]\n",
            "musical: [330, 535, 936]\n",
            "fotografia: [332, 905]\n",
            "geociencias: [338]\n",
            "geografia: [339, 340, 341]\n",
            "geologia: [342]\n",
            "geologa: [343]\n",
            "seguridad: [345]\n",
            "sistemas: [346, 932, 933]\n",
            "gerontologia: [347]\n",
            "deportiva: [352]\n",
            "gobierno: [356, 357]\n",
            "historia: [358, 360, 361]\n",
            "turismo: [362, 363, 945]\n",
            "ingeniera: [472, 473, 474, 475]\n",
            "software: [532]\n",
            "instrumentacion: [533, 534]\n",
            "quirurgica: [536]\n",
            "investigacion: [537, 889]\n",
            "jurisprudencia: [539]\n",
            "lenguas: [541, 542, 543, 890, 906]\n",
            "licenciatura: [545, 546, 547, 548, 549, 550, 551, 552, 553, 565, 566, 567, 568, 569, 570, 571, 573, 574, 575, 576, 577, 579, 580, 582, 583, 584, 585, 587, 589, 590, 591, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 609, 610, 611, 612, 613, 614, 615, 616, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 629, 630, 631, 632, 633, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 664, 665, 666, 667, 668, 669, 674, 678, 679, 680, 681, 682, 686, 690, 694, 698, 699, 700, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 718, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 746, 747, 748, 749, 750, 752, 753, 754, 755, 756, 757, 758, 760, 761, 762, 763, 764, 765, 768, 771, 772, 773, 774, 775, 776, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 789, 791, 792]\n",
            "linguistica: [793]\n",
            "literatura: [794, 795]\n",
            "logistica: [796]\n",
            "mercadeo: [797, 813, 814, 815, 816, 817, 818, 819, 820, 894, 895, 896, 899, 914]\n",
            "musica: [799, 829, 830, 831, 832]\n",
            "marketing: [801, 802, 891]\n",
            "matematicas: [804, 805, 806]\n",
            "matematica: [807]\n",
            "medicina: [810, 811, 812]\n",
            "mercadologia: [821]\n",
            "microbiologia: [822, 823, 824, 825]\n",
            "digitales: [834]\n",
            "nutricion: [839, 840]\n",
            "oceanografia: [842, 843]\n",
            "odontologia: [844]\n",
            "optometria: [846]\n",
            "pedagogia: [848]\n",
            "periodismo: [849, 850]\n",
            "internacionales: [852, 927, 928]\n",
            "produccion: [853]\n",
            "agroindustria: [856]\n",
            "agronegocios: [861]\n",
            "gastronoma: [884]\n",
            "medios: [893]\n",
            "psicologia: [898, 907]\n",
            "social: [900, 943]\n",
            "salud: [902, 930, 931]\n",
            "psicologa: [909]\n",
            "publicidad: [910, 911, 912, 913]\n",
            "quimica: [915, 916, 917, 918, 920]\n",
            "qumica: [921]\n",
            "recreacion: [926]\n",
            "sociologia: [934]\n",
            "teologia: [937]\n",
            "terapia: [939, 940, 941]\n",
            "terapias: [942]\n",
            "traduccion: [944]\n",
            "urbanismo: [946]\n",
            "zootecnia: [947]\n",
            "121\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Finally, it's time to replace the old academic program with the new one\n",
        "# Here, we will look for the id given to the program\n",
        "# Then, using the sanitized version, search in which group the id landed, for that we are using binary search\n",
        "# since, as a side effect of our data processing, all ids are in increasing order, so we are taking advantage of that\n",
        "# For the look-up, we are creating a generator comprehention, so when we call our search, we only call it the minimun number of times\n",
        "# until it finds the first match (and only one) and return the result (the name of the new program name as the key)\n",
        "\n",
        "def binary_search(arr, x):\n",
        "    low = 0\n",
        "    high = len(arr) - 1\n",
        "    mid = 0\n",
        "\n",
        "    while low <= high:\n",
        "\n",
        "        mid = (high + low) // 2\n",
        "\n",
        "        # If x is greater, ignore left half\n",
        "        if arr[mid] < x:\n",
        "            low = mid + 1\n",
        "\n",
        "        # If x is smaller, ignore right half\n",
        "        elif arr[mid] > x:\n",
        "            high = mid - 1\n",
        "\n",
        "        # means x is present at mid\n",
        "        else:\n",
        "            return mid\n",
        "\n",
        "    # If we reach here, then the element was not present\n",
        "    return -1\n",
        "\n",
        "mappings = {}\n",
        "\n",
        "for program in z.ESTU_PRGM_ACADEMICO:\n",
        "    programId = next((id for id, names in data.items() if names['name'] == program), None)\n",
        "\n",
        "    if programId is not None:\n",
        "      posibleKeys = [k for k in data[programId]['sanitized'].split(' ') if k in grouped]\n",
        "      newKey = next(key for key in posibleKeys if binary_search(grouped[key], programId) != -1)\n",
        "      mappings[program] = newKey\n",
        "\n",
        "print(len(mappings))"
      ],
      "metadata": {
        "id": "wMMTN6HpEqjv",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d1a0458b-d953-4bc7-d519-2dab0b7755b1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "793\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for key, value in mappings.items():\n",
        "    print(f\"{key}: {value}\")"
      ],
      "metadata": {
        "collapsed": true,
        "id": "ecxy5-eYD_kp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "598e2055-dcb9-4281-8381-cc53ed4ea93a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ENFERMERIA: enfermeria\n",
            "DERECHO: derecho\n",
            "MERCADEO Y PUBLICIDAD: mercadeo\n",
            "ADMINISTRACION DE EMPRESAS: administracion\n",
            "PSICOLOGIA: psicologia\n",
            "MEDICINA VETERINARIA: medicina\n",
            "INGENIERIA MECANICA: ingenieria\n",
            "ADMINISTRACIÓN EN SALUD OCUPACIONAL: administracion\n",
            "INGENIERIA INDUSTRIAL: ingenieria\n",
            "HOTELERIA Y TURISMO: turismo\n",
            "LICENCIATURA EN PEDAGOGIA INFANTIL: licenciatura\n",
            "COMUNICACION SOCIAL: comunicacion\n",
            "CIENCIA POLITICA: ciencia\n",
            "PROFESIONAL EN GESTIÓN DE LA SEGURIDAD Y LA SALUD LABORAL: gestion\n",
            "INGENIERIA MECATRONICA: ingenieria\n",
            "TRABAJO SOCIAL: social\n",
            "LICENCIATURA EN BIOLOGIA Y EDUCACION AMBIENTAL: licenciatura\n",
            "INGENIERIA CIVIL: ingenieria\n",
            "CONTADURIA PÚBLICA: contaduria\n",
            "ADMINISTRACION EN SALUD: administracion\n",
            "ESTADISTICA: estadistica\n",
            "LICENCIATURA EN BIOLOGIA: licenciatura\n",
            "INGENIERIA AGROINDUSTRIAL: ingenieria\n",
            "ZOOTECNIA: zootecnia\n",
            "COMUNICACION AUDIOVISUAL: comunicacion\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES-INGLES: licenciatura\n",
            "COMUNICACION SOCIAL  - PERIODISMO: comunicacion\n",
            "SEGURIDAD Y SALUD EN EL TRABAJO: salud\n",
            "MEDICINA: medicina\n",
            "ADMINISTRACION DE LA SEGURIDAD SOCIAL: administracion\n",
            "CONTADURIA PUBLICA: contaduria\n",
            "ODONTOLOGIA: odontologia\n",
            "DISEÑO INDUSTRIAL: diseño\n",
            "ECONOMIA: economia\n",
            "INGENIERIA DE PROCESOS INDUSTRIALES: ingenieria\n",
            "CONTADURÍA PÚBLICA: contaduria\n",
            "INGENIERIA DE SISTEMAS: ingenieria\n",
            "ARQUITECTURA: arquitectura\n",
            "ADMINISTRACION FINANCIERA: administracion\n",
            "ADMINISTRACION AMBIENTAL: administracion\n",
            "INGENIERIA ELECTRONICA: ingenieria\n",
            "INGENIERIA BIOMEDICA: ingenieria\n",
            "ADMINISTRACION Y DIRECCION DE EMPRESAS: administracion\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN CIENCIAS NATURALES Y EDUCACION AMBIENTAL: licenciatura\n",
            "LICENCIATURA EN EDUCACION BÁSICA CON ÉNFASIS EN CIENCIAS NATURALES Y EDUCACIÓN AMBIENTAL: licenciatura\n",
            "INGENIERIA AMBIENTAL: ingenieria\n",
            "NEGOCIOS INTERNACIONALES: negocios\n",
            "INGENIERIA  CIVIL: ingenieria\n",
            "MEDICINA VETERINARIA Y ZOOTECNIA: medicina\n",
            "DISEÑO GRAFICO: diseño\n",
            "QUIMICA FARMACEUTICA: quimica\n",
            "LICENCIATURA EN BILINGÜISMO CON ÉNFASIS EN INGLÉS: licenciatura\n",
            "ADMINISTRACIÓN EN SEGURIDAD Y SALUD EN EL TRABAJO: administracion\n",
            "FINANZAS Y COMERCIO INTERNACIONAL: finanzas\n",
            "LICENCIATURA EN EDUCACION PREESCOLAR: licenciatura\n",
            "LICENCIATURA EN PSICOLOGIA Y PEDAGOGIA: licenciatura\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES E IDIOMAS: licenciatura\n",
            "INGENIERIA DE CONTROL: ingenieria\n",
            "RELACIONES INTERNACIONALES: internacionales\n",
            "INGENIERIA DE TELECOMUNICACIONES: ingenieria\n",
            "INSTRUMENTACION QUIRURGICA: instrumentacion\n",
            "PROFESIONAL EN FINANZAS Y NEGOCIOS INTERNACIONALES: negocios\n",
            "DISEÑO VISUAL: diseño\n",
            "LICENCIATURA EN LENGUA CASTELLANA,INGLES Y FRANCES: licenciatura\n",
            "FISIOTERAPIA: fisioterapia\n",
            "FARMACIA: farmacia\n",
            "LICENCIATURA EN IDIOMAS EXTRANJEROS: licenciatura\n",
            "COMUNICACION Y LENGUAJES AUDIOVISUALES: comunicacion\n",
            "INGENIERIA DE DISEÑO DE PRODUCTO: diseño\n",
            "ARTE DANZARIO: arte\n",
            "COMUNICACION SOCIAL-PERIODISMO: comunicacion\n",
            "FINANZAS Y NEGOCIOS INTERNACIONALES: negocios\n",
            "INGENIERIA QUIMICA: ingenieria\n",
            "ADMINISTRACION DEL MEDIO AMBIENTE: administracion\n",
            "OPTOMETRIA: optometria\n",
            "COMUNICACION SOCIAL- PERIODISMO: comunicacion\n",
            "INGENIERIA FINANCIERA: ingenieria\n",
            "JURISPRUDENCIA: jurisprudencia\n",
            "INGENIERIA DE ALIMENTOS: ingenieria\n",
            "LICENCIATURA EN MATEMATICAS: licenciatura\n",
            "SOCIOLOGIA: sociologia\n",
            "INGENIERIA DE SISTEMAS Y COMPUTACION: ingenieria\n",
            "PROFESIONAL EN DEPORTE: deporte\n",
            "ESTUDIOS LITERARIOS: estudios\n",
            "INGENIERIA AGRONOMICA: ingenieria\n",
            "LICENCIATURA EN LENGUAS MODERNAS CON ENFASIS EN INGLES Y FRANCES: licenciatura\n",
            "ADMINISTRACION DE EMPRESAS TURISTICAS: administracion\n",
            "PROFESIONAL EN CINE Y TELEVISION: cine\n",
            "NUTRICION Y DIETETICA: nutricion\n",
            "TERAPIA RESPIRATORIA: terapia\n",
            "FILOSOFIA: filosofia\n",
            "LICENCIATURA EN INGLES: licenciatura\n",
            "INGENIERIA DE PRODUCCION: ingenieria\n",
            "ADMINISTRACION DE NEGOCIOS INTERNACIONALES: administracion\n",
            "PROFESIONAL EN DISEÑO GRAFICO: diseño\n",
            "LICENCIATURA EN FILOSOFIA Y EDUCACION RELIGIOSA: licenciatura\n",
            "LICENCIATURA EN BIOLOGIA Y QUIMICA: licenciatura\n",
            "INGENIERIA ELECTRICA: ingenieria\n",
            "INGENIERIA ELECTRONICA Y TELECOMUNICACIONES: ingenieria\n",
            "LICENCIATURA EN TEOLOGIA: licenciatura\n",
            "INGENIERIA AGROPECUARIA: ingenieria\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN EDUCACION FISICA, RECREACION Y DEPORTES: licenciatura\n",
            "TERAPIA OCUPACIONAL: terapia\n",
            "NEGOCIOS INTERNACIONALES SEGUNDO CICLO: negocios\n",
            "ADMINISTRACION AMBIENTAL Y DE LOS RECURSOS NATURALES: administracion\n",
            "INGENIERIA ADMINISTRATIVA: ingenieria\n",
            "ADMINISTRACION DE LA CALIDAD: administracion\n",
            "ADMINISTRACION MARITIMA Y FLUVIAL: administracion\n",
            "NEGOCIOS Y RELACIONES INTERNACIONALES: negocios\n",
            "FILOLOGIA E IDIOMAS: filologia\n",
            "GERENCIA EN SISTEMAS DE INFORMACION EN SALUD: sistemas\n",
            "LICENCIATURA EN ETNOEDUCACION: licenciatura\n",
            "LICENCIATURA EN LENGUA CASTELLANA E INGLES: licenciatura\n",
            "TRADUCCION INGLES-FRANCES-ESPAÑOL: traduccion\n",
            "INGENIERIA DE MATERIALES: ingenieria\n",
            "LICENCIATURA EN EDUCACION ARTISTICA: licenciatura\n",
            "INTRUMENTACION QUIRURGICA: quirurgica\n",
            "PLANEACION Y DESARROLLO SOCIAL: desarrollo\n",
            "LICENCIATURA EN ARTES: artes\n",
            "INGENIERIA EN MULTIMEDIA: ingenieria\n",
            "PROFESIONAL EN CRIMINALISTICA: criminalistica\n",
            "LICENCIATURA EN EDUCACION PARA LA PRIMERA INFANCIA: licenciatura\n",
            "ENTRENAMIENTO DEPORTIVO: entrenamiento\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN MATEMATICAS: licenciatura\n",
            "LICENCIATURA EN CIENCIAS NATURALES Y EDUCACION AMBIENTAL: licenciatura\n",
            "INGENIERIA DE PETROLEOS: ingenieria\n",
            "CIENCIAS DEL DEPORTE Y DE LA EDUCACION FISICA: ciencias\n",
            "BIOLOGIA: biologia\n",
            "INGENIERIA MULTIMEDIA: ingenieria\n",
            "LICENCIATURA EN EDUCACION FISICA, DEPORTES Y RECREACION: licenciatura\n",
            "INGENIERIA ELECTROMECANICA: ingenieria\n",
            "LICENCIATURA EN CIENCIAS DEL DEPORTE: licenciatura\n",
            "COMUNICACION SOCIAL Y PERIODISMO: comunicacion\n",
            "MERCADEO Y NEGOCIOS INTERNACIONALES: mercadeo\n",
            "ADMINISTRACION PUBLICA TERRITORIAL: administracion\n",
            "ADMINISTRACIÓN INTEGRAL DE RIESGOS DE SEGURIDAD Y SALUD EN EL TRABAJO: administracion\n",
            "ADMINISTRACION & SERVICIO: administracion\n",
            "LICENCIATURA EN LENGUA CASTELLANA Y COMUNICACION: licenciatura\n",
            "CIENCIAS DE LA INFORMACION Y LA DOCUMENTACION: ciencias\n",
            "COMUNICACION SOCIAL - PERIODISMO: comunicacion\n",
            "CIENCIAS MILITARES: ciencias\n",
            "LICENCIATURA EN EDUCACION FISICA Y DEPORTES: licenciatura\n",
            "CIENCIAS NAVALES PARA OFICIALES DE INFANTERIA DE MARINA: ciencias\n",
            "INGENIERIA DE SONIDO: ingenieria\n",
            "LICENCIATURA EN ETNOEDUCACION CON ENFASIS EN CIENCIAS SOCIALES: licenciatura\n",
            "INGENIERIA EN HIGIENE Y SEGURIDAD OCUPACIONAL: ingenieria\n",
            "ADMINISTRACION DE LA SEGURIDAD Y SALUD OCUPACIONAL: administracion\n",
            "ECONOMIA Y FINANZAS INTERNACIONALES: finanzas\n",
            "BACTERIOLOGIA: bacteriologia\n",
            "COMUNICACION AUDIOVISUAL Y MULTIMEDIOS: comunicacion\n",
            "MERCADEO: mercadeo\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN LENGUA CASTELLANA: licenciatura\n",
            "ECONOMIA Y NEGOCIOS INTERNACIONALES: negocios\n",
            "PROFESIONAL EN LENGUAS MODERNAS: lenguas\n",
            "INGENIERIA SANITARIA Y AMBIENTAL: ingenieria\n",
            "LICENCIATURA EN EDUCACION INFANTIL: licenciatura\n",
            "PERIODISMO: periodismo\n",
            "PROFESIONAL EN CONTADURIA PUBLICA: contaduria\n",
            "LINGUISTICA Y LITERATURA: literatura\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN MATEMATICA HUMANIDADES Y LENGUA CASTELLANA: licenciatura\n",
            "PROFESIONAL EN ADMINISTRACIÓN DE EMPRESAS: administracion\n",
            "ANTROPOLOGIA: antropologia\n",
            "AGRONOMIA: agronomia\n",
            "ADMINISTRACION DE NEGOCIOS: administracion\n",
            "BACTERIOLOGIA Y LABORATORIO CLINICO: bacteriologia\n",
            "FONOAUDIOLOGIA: fonoaudiologia\n",
            "LICENCIATURA EN  CIENCIAS NATURALES Y EDUCACION AMBIENTAL: licenciatura\n",
            "ADMINISTRACION Y GESTION AMBIENTAL: administracion\n",
            "LICENCIATURA EN ESPAÑOL Y LITERATURA: licenciatura\n",
            "PROFESIONAL EN AGRONEGOCIOS: agronegocios\n",
            "LINGUISTICA: linguistica\n",
            "INGENIERIA DE PRODUCTIVIDAD Y CALIDAD: ingenieria\n",
            "LICENCIATURA EN LENGUAS MODERNAS: licenciatura\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN EDUCACION FISICA,RECREACION Y DEPORTES: licenciatura\n",
            "INGENIERIA AMBIENTAL Y SANITARIA: ingenieria\n",
            "LICENCIATURA EN PEDAGOGIA  INFANTIL: licenciatura\n",
            "ADMINISTRACION PUBLICA: administracion\n",
            "RELACIONES ECONOMICAS INTERNACIONALES: internacionales\n",
            "ADMINISTRACION DE EMPRESAS COMERCIALES: administracion\n",
            "LENGUAS MODERNAS: lenguas\n",
            "INGENIERIA EN TOPOGRAFIA: ingenieria\n",
            "CIENCIAS BIBLICAS: ciencias\n",
            "LICENCIATURA EN ESPAÑOL Y LENGUAS EXTRANJERAS: licenciatura\n",
            "INGENIER¿A EN SOFTWARE: ingeniera\n",
            "DISEÑO Y PRODUCCION DE MODA: diseño\n",
            "INGENIERIA DE MERCADOS: ingenieria\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN LENGUAS EXTRANJERAS: licenciatura\n",
            "ARTES PLASTICAS: artes\n",
            "ADMINISTRACION BANCARIA Y FINANCIERA: administracion\n",
            "ADMINISTRACION DE SISTEMAS INFORMATICOS: administracion\n",
            "INGENIERIA PESQUERA: ingenieria\n",
            "DISEÑO DE MODAS: diseño\n",
            "LICENCIATURA EN COMUNICACION E INFORMATICA EDUCATIVA: licenciatura\n",
            "LICENCIATURA EN EDUCACION FISICA: licenciatura\n",
            "GEOLOGIA: geologia\n",
            "ADMINISTRACION TURISTICA Y HOTELERA: administracion\n",
            "LICENCIATURA EN EDUCACION CON ENFASIS EN EDUCACION ESPECIAL: licenciatura\n",
            "QUIMICA: quimica\n",
            "PROFESIONAL EN ACTIVIDAD FISICA Y DEPORTE: deporte\n",
            "HISTORIA: historia\n",
            "MICROBIOLOGIA Y BIOANALISIS: microbiologia\n",
            "ADMINISTRACION DE MERCADEO: administracion\n",
            "LICENCIATURA EN LENGUAS MODERNAS INGLES-FRANCES: licenciatura\n",
            "SALUD OCUPACIONAL: salud\n",
            "ECOLOGIA DE ZONAS COSTERAS: ecologia\n",
            "PROFESIONAL EN TRABAJO SOCIAL: social\n",
            "INGENIERIA AMBIENTAL Y DE SANEAMIENTO: ingenieria\n",
            "LICENCIATURA EN CIENCIAS NATURALES: licenciatura\n",
            "CONSTRUCCION: construccion\n",
            "ADMINISTRACION DE EMPRESAS TURÍSTICAS Y HOTELERAS: administracion\n",
            "LICENCIATURA EN INGLÉS-ESPAÑOL: licenciatura\n",
            "ADMINISTRACION INDUSTRIAL: administracion\n",
            "LICENCIATURA EN ARTES ESCENICAS CON ENFASIS EN TEATRO: artes\n",
            "TEOLOGIA: teologia\n",
            "COMERCIO Y NEGOCIOS INTERNACIONALES: negocios\n",
            "PUBLICIDAD: publicidad\n",
            "INGENIERIA EN AUTOMATIZACIÓN: ingenieria\n",
            "INGENIERIA FISICA: ingenieria\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN CIENCIAS SOCIALES: licenciatura\n",
            "LICENCIATURA EN EDUCACION  FISICA RECREACION  Y  DEPORTE: licenciatura\n",
            "CIENCIA POLITICA Y GOBIERNO: ciencia\n",
            "LICENCIATURA EN PEDAGOGÍA SOCIAL PARA LA REHABILITACIÓN: licenciatura\n",
            "PROFESIONAL EN ENTRENAMIENTO DEPORTIVO: entrenamiento\n",
            "CONSTRUCCION Y GESTION EN ARQUITECTURA: gestion\n",
            "INGENIERIA FORESTAL: ingenieria\n",
            "FINANZAS Y COMERCIO EXTERIOR: finanzas\n",
            "PROFESIONAL  EN DISEÑO GRAFICO: diseño\n",
            "ADMINISTRACION: administracion\n",
            "COMERCIO EXTERIOR: comercio\n",
            "NEGOCIOS Y FINANZAS INTERNACIONALES: finanzas\n",
            "LICENCIATURA EN LENGUA EXTRANJERA INGLES: licenciatura\n",
            "LICENCIATURA EN EDUCACION BASICA ENFASIS EN EDUCACION FISICA, RECREACION Y DEPORTE: licenciatura\n",
            "INGENIERIA GEOLOGICA: ingenieria\n",
            "INGENIERIA EN SEGURIDAD INDUSTRIAL E HIGIENE OCUPACIONAL: ingenieria\n",
            "COMERCIO INTERNACIONAL Y FINANZAS: finanzas\n",
            "FINANZAS Y RELACIONES INTERNACIONALES: finanzas\n",
            "ADMINISTRACION COMERCIAL Y DE MERCADEO: administracion\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES -  LENGUA CASTELLANA: licenciatura\n",
            "LETRAS - FILOLOGIA HISPANICA: filologia\n",
            "LICENCIATURA EN MATEMATICAS Y ESTADISTICA: licenciatura\n",
            "CINE: cine\n",
            "INGENIERIA INFORMATICA: ingenieria\n",
            "INGENIERIA DE MINAS Y METALURGIA: ingenieria\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN INGLES: licenciatura\n",
            "ADMINISTRACION POLICIAL: administracion\n",
            "ADMINISTRACION DE SERVICIOS DE SALUD: administracion\n",
            "PROFESIONAL EN MARKETING Y NEGOCIOS INTERNACIONALES: negocios\n",
            "LICENCIATURA EN ARTES PLASTICAS: artes\n",
            "ADMINISTRACION DEPORTIVA: administracion\n",
            "COMUNICACION SOCIAL -  PERIODISMO: comunicacion\n",
            "ADMINISTRACION EN FINANZAS Y NEGOCIOS INTERNACIONALES: administracion\n",
            "INGENIERIA AGROECOLOGICA: ingenieria\n",
            "INGENIERIA GEOGRAFICA Y AMBIENTAL: ingenieria\n",
            "LICENCIATURA EN EDUCACION FISICA,RECREACION Y DEPORTES: licenciatura\n",
            "LICENCIATURA EN INFORMATICA Y MEDIOS AUDIOVISUALES: licenciatura\n",
            "LICENCIATURA EN EDUCACION FISICA RECREACION Y DEPORTE: licenciatura\n",
            "DERECHO Y CIENCIAS POLITICAS: ciencias\n",
            "INGENIERIA DE TRANSPORTE Y VIAS: ingenieria\n",
            "DEPORTE Y ACTIVIDAD FISICA: deporte\n",
            "CULINARIA Y GASTRONOMÍA: gastronomia\n",
            "INGENIERIA DE SISTEMAS E INFORMATICA: ingenieria\n",
            "LICENCIATURA  PEDAGOGIA INFANTIL: licenciatura\n",
            "PROFESIONAL EN MERCADEO Y PUBLICIDAD: mercadeo\n",
            "BIOINGENIERIA: bioingenieria\n",
            "LICENCIATURA EN IDIOMAS MODERNOS ESPAÑOL- INGLES: licenciatura\n",
            "COMUNICACION SOCIALY PERIODISMO: comunicacion\n",
            "ARQUEOLOGIA: arqueologia\n",
            "ADMINISTRACION HUMANA: administracion\n",
            "CRIMINALISTICA: criminalistica\n",
            "DISEÑO: diseño\n",
            "GESTION EMPRESARIAL: gestion\n",
            "DANZA: danza\n",
            "LICENCIATURA EN LENGUA CASTELLANA Y LITERATURA: licenciatura\n",
            "LICENCIATURA EN ARTES ESCENICAS: artes\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN EDUCACION FISICA,RECREACION Y DEPORTE: licenciatura\n",
            "LICENCIATURA EN ARTES VISUALES: artes\n",
            "ARCHIVISTICA: archivistica\n",
            "DEPORTE: deporte\n",
            "ADMINISTRACION DE EMPRESAS  Y  GESTION AMBIENTAL: administracion\n",
            "LICENCIATURA EN PREESCOLAR: licenciatura\n",
            "INGENIERIA DE SISTEMAS Y TELECOMUNICACIONES: ingenieria\n",
            "CULTURA FISICA, DEPORTE Y RECREACION: deporte\n",
            "HISTORIA Y ARCHIVISTICA: historia\n",
            "LICENCIATURA EN INFORMATICA: licenciatura\n",
            "GESTION Y DESARROLLO URBANOS: gestion\n",
            "LICENCIATURA EN CULTURA, FISICA, RECREACION Y DEPORTES: licenciatura\n",
            "CONSTRUCCIONES CIVILES: construcciones\n",
            "GASTRONOMIA: gastronomia\n",
            "MATEMATICAS: matematicas\n",
            "COMUNICACION GRAFICA PUBLICITARIA: comunicacion\n",
            "LICENCIATURA EN FISICA: licenciatura\n",
            "INGENIERIA EN HIGIENE Y SEGURIDAD INDUSTRIAL: ingenieria\n",
            "COMUNICACIÓN Y ENTRETENIMIENTO DIGITAL: comunicacion\n",
            "INGENIERIA EN SOFTWARE: ingenieria\n",
            "LICENCIATURA EN MATEMATICAS Y FISICA: licenciatura\n",
            "LICENCIATURA EN DISEÑO TECNOLOGICO CON ENFASIS EN SISTEMAS MECANICOS: diseño\n",
            "PROGRAMA PROFESIONAL UNIVERSITARIO EN LENGUAS EXTRANJERAS: lenguas\n",
            "ADMINISTRACI¿N LOG¿STICA: administracin\n",
            "SISTEMAS DE INFORMACION Y DOCUMENTACION: sistemas\n",
            "DISEÑO DE LA COMUNICACION GRAFICA: diseño\n",
            "FILOSOFIA Y LETRAS: filosofia\n",
            "LICENCIATURA EN LENGUAS EXTRANJERAS INGLES-FRANCES: licenciatura\n",
            "DISEÑO VISUAL DIGITAL: diseño\n",
            "INGENIERIA DE MINAS: ingenieria\n",
            "CULTURA FISICA Y DEPORTE: deporte\n",
            "LICENCIATURA EN EDUCACION ARTISTICA CON ENFASIS EN DANZA Y TEATRO: danza\n",
            "LICENCIATURA EN LENGUAS EXTRANJERAS CON ÉNFASIS EN INGLÉS: licenciatura\n",
            "INGENIERIA AERONAUTICA: ingenieria\n",
            "INGENIERIA EN ENERGIA: ingenieria\n",
            "INGENIERIA AGRICOLA: ingenieria\n",
            "ESPAÑOL Y FILOLOGIA CLASICA: español\n",
            "ARTES VISUALES: artes\n",
            "ADMINISTRACION EN SALUD: ENFASIS EN GESTION DE SERVICIOS DE SALUD Y  ENFASIS EN GESTION SANITARIA Y AMBIENTAL: administracion\n",
            "LICENCIATURA EN EDUCACI¿N ART¿STICA: licenciatura\n",
            "LICENCIATURA EN EDUCACIÓN BÁSICA CON ÉNFASIS EN HUMANIDADES- LENGUA CASTELLANA: licenciatura\n",
            "FORMACION MUSICAL: musical\n",
            "LICENCIATURA EN EDUCACIÓN BÁSICA CON ÉNFASIS EN HUMANIDADES, LENGUA CASTELLANA: licenciatura\n",
            "DIRECCION Y PRODUCCION DE MEDIOS AUDIOVISUALES: direccion\n",
            "PROFESIONAL EN NEGOCIOS INTERNACIONALES: negocios\n",
            "DISEÑO DIGITAL Y MULTIMEDIA: diseño\n",
            "GEOGRAFIA APLICADA A LA ORGANIZACION DEL ESPACIO Y PLANIFICACION REGIONAL: geografia\n",
            "INGENIERIA EN MECATRONICA: ingenieria\n",
            "INGENIERÍA EN DISEÑO DE ENTRETENIMIENTO DIGITAL: diseño\n",
            "FISICA: fisica\n",
            "INGENIERIA EN TELEMATICA: ingenieria\n",
            "LICENCIATURA EN MUSICA: licenciatura\n",
            "INGENIERIA FINANCIERA Y DE NEGOCIOS: ingenieria\n",
            "MICROBIOLOGIA: microbiologia\n",
            "PROFESIONAL EN PSICOLOGÍA: psicologia\n",
            "DISEÑO DE COMUNICACION VISUAL: diseño\n",
            "ADMINISTRACION AGROPECUARIA: administracion\n",
            "ADMINISTRACIÓN LOGISTICA: administracion\n",
            "LICENCIATURA EN LENGUA CASTELLANA: licenciatura\n",
            "INGENIERÌA INFORMÀTICA: ingenieria\n",
            "INGENIERIA DE LA CALIDAD: ingenieria\n",
            "COMERCIO INTERNACIONAL: comercio\n",
            "LICENCIATURA EN EDUCACION FISICA, RECREACION Y DEPORTES: licenciatura\n",
            "LICENCIATURA EN HUMANIDADES Y LENGUA CASTELLANA: licenciatura\n",
            "ADMINISTRACION AERONAUTICA: administracion\n",
            "TURISMO: turismo\n",
            "CIENCIAS MILITARES AERONÁUTICAS: ciencias\n",
            "CIENCIAS DEL DEPORTE: ciencias\n",
            "LICENCIATURA EN PEDAGOG¿A INFANTIL: licenciatura\n",
            "MERCADEO NACIONAL E INTERNACIONAL: mercadeo\n",
            "QUIMICA INDUSTRIAL: quimica\n",
            "RELACIONES INTERNACIONALES Y ESTUDIOS POLITICOS: estudios\n",
            "LICENCIATURA EN EDUCACION ESPECIAL: licenciatura\n",
            "LICENCIATURA EN EDUCACION POPULAR: licenciatura\n",
            "PROFESIONAL EN DISEÑO INDUSTRIAL: diseño\n",
            "COMUNICACION Y PERIODISMO: comunicacion\n",
            "BIBLIOTECOLOGIA: bibliotecologia\n",
            "3°  CICLO PROFESIONAL NEGOCIOS INTERNACIONALES: negocios\n",
            "LICENCIATURA EN CIENCIAS RELIGIOSAS: licenciatura\n",
            "INGENIERIA DE SOFTWARE: ingenieria\n",
            "LICENCIATURA EN HUMANIDADES, LENGUA CASTELLANA E INGLES: licenciatura\n",
            "ADMINISTRACION DE EMPRESAS AGROPECUARIAS: administracion\n",
            "PRODUCCION AGROINDUSTRIAL: produccion\n",
            "DISEÑO DE MEDIOS  INTERACTIVOS: diseño\n",
            "CIENCIA DE LA INFORMACION Y BIBLIOTECOLOGIA: ciencia\n",
            "LICENCIATURA EN PEDAGOGIA DE LA PRIMERA INFANCIA: licenciatura\n",
            "LICENCIATURA EN EDUCACION AMBIENTAL: licenciatura\n",
            "INGENIERIA EN SEGURIDAD Y SALUD PARA EL TRABAJO: ingenieria\n",
            "LICENCIATURA EN LENGUAS  EXTRANJERAS: licenciatura\n",
            "LICENCIATURA EN EDUCACION RELIGIOSA: licenciatura\n",
            "INGENIERÍA BIOQUÍMICA: ingenieria\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN INFORMATICA: licenciatura\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES, ESPAÑOL Y LENGUAS EXTRANJERAS: licenciatura\n",
            "LICENCIATURA EN TECNOLOGIA E INFORMATICA: licenciatura\n",
            "ESTUDIOS MUSICALES: estudios\n",
            "INGENIERIA DE PROCESOS: ingenieria\n",
            "MATEMÁTICA APLICADA: matematica\n",
            "LICENCIATURA EN BIOLOGIA CON ENFASIS EN EDUCACION AMBIENTAL: licenciatura\n",
            "DISE¿¿O DE COMUNICACI¿¿N GR¿¿FICA: comunicacin\n",
            "ADMINISTRACION DE EMPRESAS TURISTICAS Y HOTELERAS: administracion\n",
            "LICENCIATURA EN FILOSOFIA Y LENGUA CASTELLANA: licenciatura\n",
            "MUSICA: musica\n",
            "ADMINISTRACION DE INSTITUCIONES DE SERVICIO: administracion\n",
            "PUBLICIDAD Y MERCADEO: mercadeo\n",
            "ARTES DE LA ESCENA: artes\n",
            "DISEÑO INTERIOR: diseño\n",
            "CONSTRUCCION EN ARQUITECTURA E INGENIERIA: ingenieria\n",
            "CINE Y COMUNICACIÓN DIGITAL: cine\n",
            "LICENCIATURA  EN MATEMATICAS: licenciatura\n",
            "LICENCIATURA EN EDUCACION FISICA,RECREACION Y DEPORTE: licenciatura\n",
            "HISTORIA Y PATRIMONIO: historia\n",
            "LITERATURA: literatura\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN EDUCACION ARTISTICA: licenciatura\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES,LENGUA CASTELLANA E INGLES: licenciatura\n",
            "GEOGRAFIA: geografia\n",
            "BIOLOGIA APLICADA: biologia\n",
            "GERENCIA DE LA SEGURIDAD Y ANALISIS SOCIO POLITICO: seguridad\n",
            "LICENCIATURA EN INGLÉS COMO LENGUA EXTRANJERA: licenciatura\n",
            "LICENCIATURA EN EDUCACION ARTISTICA Y ARTES ESCENICAS: artes\n",
            "INGENIERIA METALURGICA: ingenieria\n",
            "LICENCIATURA EN FILOSOFIA: licenciatura\n",
            "CINE Y TELEVISION: cine\n",
            "INGENIERIA SANITARIA: ingenieria\n",
            "LICENCIATURA EN INGLES - ESPAÑOL: licenciatura\n",
            "INGENIERIA EN CONTROL: ingenieria\n",
            "COMUNICACION AUDIOVISUAL Y MULTIMEDIAL: comunicacion\n",
            "FINANZAS: finanzas\n",
            "ARTES DE LA GRABACION Y PRODUCCION MUSICAL: artes\n",
            "LICENCIATURA EN LINGUISTICA Y LITERATURA: licenciatura\n",
            "LICENCIATURA EN EDUCACION ARTISTICA Y CULTURAL: licenciatura\n",
            "INGENIERÍA DE LAS ARTES DIGITALES: artes\n",
            "PROFESIONAL UNIVERSITARIO EN FOTOGRAFÍA PARA MEDIOS: fotografia\n",
            "COMUNICACION PUBLICITARIA: comunicacion\n",
            "CIENCIAS DE LA COMPUTACIÓN E INTELIGENCIA ARTIFICIAL: ciencias\n",
            "COMUNICACION SOCIAL     Y     PERIODISMO: comunicacion\n",
            "LICENCIATURA EN EDUCACION BASICA  CON ENFASIS EN HUMANIDADES Y LENGUA CASTELLANA: licenciatura\n",
            "ECOLOGIA: ecologia\n",
            "ADMINISTRACIÓN DE LA SALUD OCUPACIONAL: administracion\n",
            "LICENCIATURA EN INGLÉS Y BILINGÜISMO: licenciatura\n",
            "CIENCIAS POLITICAS: ciencias\n",
            "GOBIERNO Y RELACIONES INTERNACIONALES: gobierno\n",
            "ADMINISTRACIÓN DE EMPRESAS TURISTICAS: administracion\n",
            "DIRECCION Y PRODUCCION DE CINE Y TELEVISION: cine\n",
            "ADMINISTRACION EN MERCADEO Y LOGISTICA INTERNACIONALES: administracion\n",
            "MICROBIOLOGIA INDUSTRIAL Y AMBIENTAL: microbiologia\n",
            "GEOCIENCIAS: geociencias\n",
            "ARTES MUSICALES: artes\n",
            "GEOLOG¿A: geologa\n",
            "INGENIERIA BIOTECNOLOGICA: ingenieria\n",
            "CIENCIAS NAUTICAS PARA OFICIALES MERCANTES: ciencias\n",
            "INGENIERÍA MECATRÓNICA - CICLO PROFESIONAL UNIVERSITARIO: ingenieria\n",
            "CONTADURIA PUBLICA Y FINANZAS INTERNACIONALES: contaduria\n",
            "INGENIERIA COMERCIAL: ingenieria\n",
            "CIENCIAS NAVALES PARA OFICIALES NAVALES: ciencias\n",
            "ADMINISTRACION Y FINANZAS: administracion\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES, LENGUA CASTELLANA: licenciatura\n",
            "HOTELERIA Y TURISMO ECOLOGICO: turismo\n",
            "INGENIERIA TOPOGRAFICA: ingenieria\n",
            "PROFESIONAL EN DISEÑO DE INTERIORES: diseño\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN LENGUA CASTELLANA E INGLES: licenciatura\n",
            "INGENIERIA EN  TELECOMUNICACIONES: ingenieria\n",
            "FOTOGRAFÍA Y COMUNICACIÓN VISUAL: comunicacion\n",
            "ARTE DRAMATICO: arte\n",
            "ADMINISTRACIÓN TURÍSTICA: administracion\n",
            "MARKETING Y NEGOCIOS INTERNACIONALES: negocios\n",
            "LICENCIATURA EN ETNOEDUCACION Y DESARROLLO COMUNITARIO: licenciatura\n",
            "LICENCIATURA EN EDUCACION INDUSTRIAL: licenciatura\n",
            "LICENCIATURA EN ARTE Y FOLKLORE Y CULTURA: arte\n",
            "ARTES CULINARIAS Y GASTRONOMÍA: artes\n",
            "MARKETING Y LOGISTICA: marketing\n",
            "INGENIERIA CATASTRAL Y GEODESIA: ingenieria\n",
            "DIRECCION Y PRODUCCION DE RADIO Y TELEVISION: direccion\n",
            "LICENCIATURA EN INFORMATICA EDUCATIVA: licenciatura\n",
            "MUSICA INSTRUMENTAL: musica\n",
            "MERCADEO PUBLICIDAD Y VENTAS: mercadeo\n",
            "DISEÑO DE ESPACIOS: diseño\n",
            "DISEÑO DE ESPACIOS - ESCENARIO: diseño\n",
            "CONTADURIA: contaduria\n",
            "ADMINISTRACION EN LOGISTICA Y PRODUCCION: administracion\n",
            "INGENIERIA MECATRONICO: ingenieria\n",
            "CIENCIA DE LA INFORMACION - BIBLIOTECOLOGIA: ciencia\n",
            "INGENIERIA  AGROFORESTAL: ingenieria\n",
            "MERCADOLOGIA: mercadologia\n",
            "LICENCIATURA EN DEPORTE: licenciatura\n",
            "LOGISTICA EMPRESARIAL: logistica\n",
            "LICENCIATURA EN LENGUAS EXTRANJERAS INGLES - FRANCES: licenciatura\n",
            "PROFESIONAL EN BANCA Y FINANZAS: finanzas\n",
            "DISEÑO DE VESTUARIO: diseño\n",
            "PROFESIONAL EN MEDIOS AUDIOVISUALES: medios\n",
            "ADMINISTRACIÓN COMERCIAL Y FINANCIERA: administracion\n",
            "PUBLICIDAD Y MARKETING CREATIVO: publicidad\n",
            "LICENCIATURA EN QUIMICA: licenciatura\n",
            "GESTION CULTURAL Y COMUNICATIVA: gestion\n",
            "INGENIERIA EN INSTRUMENTACION Y CONTROL: ingenieria\n",
            "GASTRONOMIA Y COCINA PROFESIONAL: gastronomia\n",
            "CIENCIA POLITICA Y RELACIONES INTERNACIONALES: ciencia\n",
            "DESARROLLO FAMILIAR: desarrollo\n",
            "LICENCIATURA EN LENGUAS EXTRANJERAS CON ENFASIS EN INGLES: licenciatura\n",
            "LENGUAS Y CULTURA: lenguas\n",
            "INGENIERIA AGRONÓMICA: ingenieria\n",
            "ADMINISTRACIÓN DE EMPRESAS - CICLO PROFESIONAL: administracion\n",
            "LICENCIATURA EN LITERATURA: licenciatura\n",
            "CONTADURÍA INTERNACIONAL: contaduria\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN TECNOLOGIA E INFORMATICA: licenciatura\n",
            "CIENCIAS DEL DEPORTE Y  LA RECREACION: ciencias\n",
            "LICENCIATURA EN EDUCACION BILINGUE: licenciatura\n",
            "DISEÑO GRÀFICO: diseño\n",
            "ADMINISTRACIÓN DE LA SEGURIDAD Y SALUD   EN EL TRABAJO: administracion\n",
            "ARTES ESCENICAS: artes\n",
            "ADMINISTRACI¿N DE EMPRESAS: administracin\n",
            "LICENCIATURA EN HISTORIA: licenciatura\n",
            "LICENCIATURA EN CIENCIAS DEL DEPORTE Y LA EDUCACION FISICA: licenciatura\n",
            "COMUNICACION VISUAL: comunicacion\n",
            "LICENCIATURA EN EDUCACION BASICA ENFASIS EN CIENCIAS NATURALES Y EDUCACION AMBIENTAL: licenciatura\n",
            "POLITICA Y RELACIONES INTERNACIONALES: internacionales\n",
            "INGENIER¿A DE SISTEMAS: ingeniera\n",
            "COMUNICACION Y RELACIONES CORPORATIVAS: comunicacion\n",
            "INGENIERIA DE SISTEMAS CON ENFASIS EN TELECOMUNICACIONES: ingenieria\n",
            "TERAPIA CARDIORRESPIRATORIA: terapia\n",
            "DERECHO Y CIENCIAS SOCIALES: ciencias\n",
            "ADMINISTRACIÓN DE AGRONEGOCIOS: administracion\n",
            "LICENCIATURA EN EDUCACION BASICA EN CIENCIAS NATURALES Y EDUCACION AMBIENTAL: licenciatura\n",
            "PUBLICIDAD INTERNACIONAL: publicidad\n",
            "BIOTECNOLOGIA: biotecnologia\n",
            "QUIMICA.: quimica\n",
            "ADMINISTRACIÒN DE NEGOCIOS INTERNACIONALES: administracion\n",
            "LICENCIATURA EN EDUCACION FISICA, RECREACION Y DEPORTE: licenciatura\n",
            "LICENCIATURA EN FILOSOFIA E HISTORIA: licenciatura\n",
            "LICENCIATURA EN ELECTRONICA: licenciatura\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES: ESPAÑOL E INGLES: licenciatura\n",
            "INGENIERIA DE SISTEMAS Y  COMPUTACION: ingenieria\n",
            "DEPORTE Y CULTURA FISICA: deporte\n",
            "INGENIERIA  AMBIENTAL: ingenieria\n",
            "PROFESIONAL EN MERCADEO: mercadeo\n",
            "LICENCIATURA EN LENGUA INGLESA: licenciatura\n",
            "LICENCIATURA EN EDUCACION BILINGUE CON ENFASIS EN LA ENSEÑANZA DEL INGLES: licenciatura\n",
            "LICENCIATURA EN EDUCACIÓN BÁSICA CON ÉNFASIS EN HUMANIDADES LENGUA CASTELLANA: licenciatura\n",
            "LICENCIATURA EN ARTE DRAMATICO: arte\n",
            "LICENCIATURA EN EDUCACION CON ENFASIS EN INGLES: licenciatura\n",
            "CONTADURÍA PUBLICA: contaduria\n",
            "MATEMATICAS CON ENFASIS EN ESTADISTICA: matematicas\n",
            "ARTES AUDIOVISUALES: artes\n",
            "ADMINSITRACIÓN DE EMPRESAS: empresas\n",
            "ADMINISTRACION DE HOTELERIA Y TURISMO: administracion\n",
            "ADMINISTRACION DE EMPRESAS Y FINANZAS: administracion\n",
            "GOBIERNO Y ASUNTOS PUBLICOS: gobierno\n",
            "NUTRICIÓN Y DIETETICA: nutricion\n",
            "ADMINISTRACION LOGISTICA: administracion\n",
            "LICENCIATURA EN PRODUCCION AGROPECUARIA: licenciatura\n",
            "INGENIERÍA EN PROCESOS AGROINDUSTRIALES: ingenieria\n",
            "INSTRUMENTACION QUIRURGICA PROFESIONAL: instrumentacion\n",
            "INGENIERIA DE TELECOMUNICACIONES E INFORMATICA: ingenieria\n",
            "ESTUDIOS EN FILOSOFIA: estudios\n",
            "LICENCIATURA EN CIENCIAS SOCIALES Y DESARROLLO LOCAL: licenciatura\n",
            "INGENIERIA NAVAL: ingenieria\n",
            "PERIODISMO Y OPINION PUBLICA: periodismo\n",
            "LICENCIATURA EN RECREACION: licenciatura\n",
            "AGRONOMIA DEL TROPICO HUMEDO: agronomia\n",
            "INGENIERIA BIOLOGICA: ingenieria\n",
            "LICENCIATURA EN CIENCIAS SOCIALES CON ÉNFASIS EN EDUCACIÓN BÁSICA: licenciatura\n",
            "ACTIVIDAD FISICA Y DEPORTE: deporte\n",
            "LICENCIATURA EN MATEMATICAS Y TECNOLOGIAS DE LA INFORMACION: licenciatura\n",
            "ARTE: arte\n",
            "INGENIERIA BIOMÉDICA: ingenieria\n",
            "BANCA Y FINANZAS: finanzas\n",
            "INGENIERIA PECUARIA: ingenieria\n",
            "LICENCIATURA EN EDUCACIÓN FÍSICA Y DEPORTE: licenciatura\n",
            "LICENCIATURA EN FILOSOFIA, PENSAMIENTO POLITICO Y ECONOMICO: licenciatura\n",
            "ADMINISTRACION DE EMPRESAS EN TELECOMUNICACIONES: administracion\n",
            "BIOLOGIA MARINA: biologia\n",
            "LICENCIATURA EN EDUCACI¿N B¿SICA PRIMARIA: licenciatura\n",
            "LICENCIATURA EN IDIOMA EXTRANJERO - INGLÉS: licenciatura\n",
            "ADMINISTRACION COMERCIAL: administracion\n",
            "PROFESIONAL  EN GASTRONOMÍA Y  ALTA COCINA: gastronomia\n",
            "ADMINISTRACION Y NEGOCIOS INTERNACIONALES: administracion\n",
            "PROFESIONAL SEGURIDAD Y SALUD EN EL TRABAJO: salud\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN EDUCACION ARTISTICA-MUSICA: licenciatura\n",
            "CINE Y AUDIOVISUALES: cine\n",
            "COMUNICACION SOCIAL PERIODISMO: comunicacion\n",
            "INGENIIERIA DE SOFTWARE: software\n",
            "PROFESIONAL EN MERCADEO EMPRESARIAL: mercadeo\n",
            "OCEANOGRAFIA FISICA: oceanografia\n",
            "ARTES PLASTICAS Y VISUALES: artes\n",
            "PROFESIONAL EN GASTRONOM¿A: gastronoma\n",
            "FILOLOGIA HISPANICA: filologia\n",
            "PROFESIONAL EN GASTRONOMÍA Y CULINARIA: gastronomia\n",
            "ADMINISTRACION DE GESTISN HUMANA: administracion\n",
            "ADMINISTRACION FINANCIERA Y DE SISTEMAS: administracion\n",
            "MERCADEO AGROINDUSTRIAL: mercadeo\n",
            "REALIZACIÓN EN ANIMACIÓN: animacion\n",
            "LICENCIATURA EN EDUCACION: ARTES PLASTICAS: artes\n",
            "LICENCIATURA EN  LITERATURA Y LENGUA CASTELLANA: licenciatura\n",
            "PROFESIONAL EN GASTRONOMIA: gastronomia\n",
            "INGENIERIA DE SOFTWARE Y COMUNICACIONES: ingenieria\n",
            "PROFESIONAL EN GESTION DEL DISEÑO: diseño\n",
            "ADMINISTRACION DEL TURISMO SOSTENIBLE: administracion\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN  HUMANIDADES, LENGUA CASTELLANA E INGLES: licenciatura\n",
            "ADMINISTRACION DEL COMERCIO INTERNACIONAL: administracion\n",
            "ADMINISTRACION TURÍSTICA: administracion\n",
            "INGENIERIA EN DISEÑO DE MAQUINAS Y PRODUCTOS INDUSTRIALES: diseño\n",
            "LICENCIATURA EN FILOSOFIA Y LETRAS: licenciatura\n",
            "ADMINISTRACION  FINANCIERA: administracion\n",
            "LICENCIATURA EN EDUCACIÓN PARA LA CONVIVENCIA Y EL DESARROLLO HUMANO: licenciatura\n",
            "MUSICA INSTRUMENTO: musica\n",
            "ECONOM¿A: economa\n",
            "LICENCIATURA EN ESPAÑOL E INGLES: licenciatura\n",
            "COMUNICACI¿N SOCIAL Y PERIODISMO: comunicacin\n",
            "LICENCIATURA EN BILINGÜISMO CON ENFASIS EN LA ENSEÑANZA DEL INGLÉS: licenciatura\n",
            "ADMINISTRACION MARITIMA Y PORTUARIA: administracion\n",
            "INGENIERIA DE SISTEMAS DE INFORMACION: ingenieria\n",
            "DESARROLLO TERRITORIAL: desarrollo\n",
            "LICENCIATURA EN PSICOPEDAGOGIA CON ENFASIS EN ASESORIA EDUCATIVA: licenciatura\n",
            "LICENCIATURA EN TEATRO: licenciatura\n",
            "LICENCIATURA EN EDUCACION BILINGUE-ESPAÑOL-INGLES: licenciatura\n",
            "GEOGRAFIA DEL DESARROLLO REGIONAL Y AMBIENTAL: geografia\n",
            "DISEÑO DE ESPACIOS Y ESCENARIOS: diseño\n",
            "MERCADEO INTERNACIONAL Y PUBLICIDAD: mercadeo\n",
            "LICENCIATURA EN EDUCACION BASICA EN DANZA: danza\n",
            "CIENCIAS DEL DEPORTE Y LA ACTIVIDAD FISICA: ciencias\n",
            "CONTADURIA P¿BLICA: contaduria\n",
            "PROFESIONAL EN DISEÑO VISUAL: diseño\n",
            "INGENIERIA EN INFORMATICA: ingenieria\n",
            "ADMINISTRACION DE EMPRESAS AGROINDUSTRIALES: administracion\n",
            "ACUICULTURA: acuicultura\n",
            "LICENCIATURA EN EDUCACION COMUNITARIA CON ENFASIS EN DERECHOS HUMANOS: licenciatura\n",
            "LICENCIATURA EN EDUCACI¿N CON ¿NFASIS EN CIENCIAS SOCIALES Y AMBIENTALES: licenciatura\n",
            "INVESTIGACION CRIMINAL: investigacion\n",
            "LOGISTICA Y MERCADEO ORGANIZACIONAL: mercadeo\n",
            "MAESTRO EN MUSICA: musica\n",
            "INGENIERIA EN PRODUCCION ACUICOLA: ingenieria\n",
            "ASTRONOMIA: astronomia\n",
            "DISEÑO INTERACTIVO: diseño\n",
            "LICENCIATURA EN DANZA CLASICA: danza\n",
            "LICENCIATURA EN MATEMATICAS E INFORMATICA: licenciatura\n",
            "DISEÑO CROSSMEDIA: diseño\n",
            "LICENCIATURA M¿SICA: licenciatura\n",
            "CONTADURIA PUBLICA ENFASIS EN SISTEMAS Y ECONOMIA SOLIDARIA: contaduria\n",
            "LICENCIATURA EN BILINGUISMO CON ENFASIS EN ESPAÑOL E INGLES: licenciatura\n",
            "GESTI¿N DEPORTIVA: deportiva\n",
            "ADMINISTRACION EMPRESAS AGROINDUSTRIALES: administracion\n",
            "LICENCIATURA EN LENGUAS EXTRANJERAS CON ¿NFASIS EN INGL¿S: licenciatura\n",
            "DISEÑO DE MODA: diseño\n",
            "INGENIERÍA EN TECNOLOGÍAS DE LA INFORMACIÓN Y LAS COMUNICACIONES: ingenieria\n",
            "LICENCIATURA EN MUSICA Y DANZA: danza\n",
            "LICENCIATURA  EN INGLES Y FRANCES: licenciatura\n",
            "CIENCIA POLITICA, GOBIERNO Y RELACIONES INTERNACIONALES: ciencia\n",
            "PUBLICIDAD Y MARKETING DIGITAL: publicidad\n",
            "DISEÑO Y GESTIÓN DE LA MODA Y EL TEXTIL: diseño\n",
            "CREACION LITERARIA: creacion\n",
            "COMUNICACION: comunicacion\n",
            "PROFESIONAL EN DISEÑO DE ALTA COSTURA: diseño\n",
            "LICENCIATURA EN ARTES PLASTICAS Y VISUALES: artes\n",
            "GERONTOLOGIA: gerontologia\n",
            "INGENIERIA TELEMATICA: ingenieria\n",
            "PROFESIONAL UNIVERSITARIO DISEÑO GRÁFICO DIGITAL: diseño\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES,LENGUA CASTELLANA: licenciatura\n",
            "INGENIERÍA EN PROCESOS INDUSTRIALES: ingenieria\n",
            "CONSERVACION Y RESTAURACION DE BIENES MUEBLES: conservacion\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES Y LENGUAS: licenciatura\n",
            "INGENIERÍA DE PETRÓLEO Y GAS: ingenieria\n",
            "ADMINISTRACIÓN HOTELERA Y DE SERVICIOS: administracion\n",
            "LICENCIATURA EN LENGUAS MODERNAS, INGLES Y FRANCES: licenciatura\n",
            "LICENCIATURA EN  MATEMATICAS Y FISICA: licenciatura\n",
            "MATEMÁTICAS APLICADAS Y CIENCIAS DE LA COMPUTACIÓN: ciencias\n",
            "COMUNICACIONES: comunicaciones\n",
            "DISEÑO Y GESTIÓN DE LA MODA: diseño\n",
            "LICENCIATURA EN EDUCACIÓN BÁSICA CON ÉNFASIS EN EDUCACIÓN ARTÍSTICA Y CULTURAL: MÚSICA: licenciatura\n",
            "RECREACION: recreacion\n",
            "LICENCIATURA EN  FILOSOFIA Y CIENCIAS RELIGIOSAS: licenciatura\n",
            "MICROBIOLOGIA INDUSTRIAL: microbiologia\n",
            "INGENIERIA DE MANTENIMIENTO: ingenieria\n",
            "LICENCIATURA EN LENGUAS MODERNAS CON ÉNFASIS EN INGLÉS: licenciatura\n",
            "PSICÓLOGA: psicologa\n",
            "DISE¿O Y ADMINISTRACI¿N DE NEGOCIOS DE LA MODA: administracin\n",
            "MUSICA- CANTO: musica\n",
            "LICENCIATURA EN EDUCACI¿N INFANTIL: licenciatura\n",
            "INGENIERÍA AGRONOMICA: ingenieria\n",
            "LICENCIATURA EN EDUCACION BASICA PRIMARIA: licenciatura\n",
            "CIENCIAS AMBIENTALES: ciencias\n",
            "COMUNICACI¿N SOCIAL: comunicacin\n",
            "MARKETING: marketing\n",
            "FILOSOFIA Y HUMANIDADES: filosofia\n",
            "ESTUDIOS DE ARTES LIBERALES EN CIENCIAS SOCIALES: artes\n",
            "INGENIERIA EN ENERGIAS: ingenieria\n",
            "BIOQUIMICA: bioquimica\n",
            "ADMINSITRACION TURISTICA Y HOTELERA: turistica\n",
            "ADMINISTRACION DE EMPRESAS TURISTICA: administracion\n",
            "COMUNICACIÓN SOCIAL Y MEDIOS DIGITALES: comunicacion\n",
            "PROFESIONAL EN COMUNICACION SOCIAL - PERIODISMO: comunicacion\n",
            "QUIMICA AMBIENTAL: quimica\n",
            "COMUNICACIÓN CORPORATIVA Y RELACIONES PÚBLICAS: comunicacion\n",
            "TERAPIAS PSICOSOCIALES: terapias\n",
            "LICENCIATURA EN EDUCACIÓN  FÍSICA, RECREACIÓN Y DEPORTE: licenciatura\n",
            "COMUNICACION ORGANIZACIONAL: comunicacion\n",
            "ADMINISTRACI¿N P¿BLICA: administracin\n",
            "QU¿MICA FARMAC¿UTICA: qumica\n",
            "PROFESIONAL EN TURISMO Y GASTRONOMÍA: gastronomia\n",
            "INGENIERIA DE PLASTICOS: ingenieria\n",
            "FOTOGRAFÍA: fotografia\n",
            "INTERPRETACION MUSICAL: musical\n",
            "ARTES PLASTICAS CON ENFASIS EN PROCESOS BIDIMENSIONALES Y TRIDIMENSIONALES: artes\n",
            "HISTORIA DEL ARTE: arte\n",
            "DANZA Y DIRECCIÓN COREOGRÁFICA: danza\n",
            "ADMINISTRACION MARITIMA: administracion\n",
            "INGENIERIA TEXTIL: ingenieria\n",
            "URBANISMO: urbanismo\n",
            "DISEÑO DE COMUNICACIÓN: diseño\n",
            "DISEÑO Y GESTIÓN DEL PRODUCTO: diseño\n",
            "COMUNICACIÓN AUDIOVISUAL Y DIGITAL: comunicacion\n",
            "INGENIER¿A EL¿CTRICA: ingeniera\n",
            "GESTION EN ECOLOGIA Y TURISMO: gestion\n",
            "INGENIERIA EN AUTOMATICA INDUSTRIAL: ingenieria\n",
            "LICENCIATURA EN EDUCACION PREESCOLAR CON ENFASIS EN INGLES: licenciatura\n",
            "PROFESIONAL EN MARKETING INTERNACIONAL: marketing\n",
            "PROFESIONAL EN FILOSOFIA: filosofia\n",
            "LENGUAJES Y ESTUDIOS SOCIOCULTURALES: estudios\n",
            "INGENIERIA ELÉCTRICA: ingenieria\n",
            "NARRATIVAS DIGITALES: digitales\n",
            "LICENCIATURA EN PEDAGOGÍA DE LA MADRE TIERRA: licenciatura\n",
            "BIOLOGIA AMBIENTAL: biologia\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN MATEMATICAS E INFORMATICA: licenciatura\n",
            "LICENCIATURA EN  FILOSOFIA: licenciatura\n",
            "LICENCIATURA EN EDUCACION RELIGIOSA CON ENFASIS EN BIBLIA: licenciatura\n",
            "INGENIERIA DE PRODUCCION AGROINDUSTRIAL: ingenieria\n",
            "INGENIERÍA EN LOGISTICA Y OPERACIONES: ingenieria\n",
            "INGENIERIA DE SISTEMAS INFORMÁTICOS: ingenieria\n",
            "PROFESIONAL EN DIRECCIÓN Y PRODUCCIÓN DE RADIO Y TELEVISIÓN: direccion\n",
            "INGENIERIA EN NANOTECNOLOGIA: ingenieria\n",
            "PROFESIONAL EN DISEÑO DE ESPACIOS: diseño\n",
            "INGENIERIA MECÁNICA: ingenieria\n",
            "COMUNICACI¿N VISUAL: comunicacin\n",
            "LICENCIATURA EN FILOSOFIA Y HUMANIDADES: licenciatura\n",
            "INGENIERIA MATEMATICA: ingenieria\n",
            "ADMINISTRACION DE MERCADEO Y LOGISTICA INTERNACIONALES: administracion\n",
            "PEDAGOGÍA: pedagogia\n",
            "INGENIERIA EN CONTROL Y AUTOMATIZACIÓN: ingenieria\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES: LENGUA CASTELLANA E IDIOMA EXTRANJERO: INGLES: licenciatura\n",
            "ESTUDIOS Y GESTION CULTURAL: estudios\n",
            "ADMINISTRACIÓN DE OBRAS DE ARQUITECTURA: administracion\n",
            "ADMINISTRACIÓN EN SERVICIOS DE SALUD: administracion\n",
            "PROFESIONAL EN CIENCIAS DEL DEPORTE Y LA EDUCACION FISICA: ciencias\n",
            "LICENCIATURA EN FILOSOFIA, ETICA Y VALORES HUMANOS: licenciatura\n",
            "LICENCIATURA LENGUAS EXTRANJERAS CON ENFASIS EN INGLES: licenciatura\n",
            "ESTUDIOS POLITICOS Y RESOLUCION DE CONFLICTOS: estudios\n",
            "INGENIERÍA PETROQUÍMICA: ingenieria\n",
            "LICENCIATURA EN EDUCACIÓN BILINGÜE- ESPAÑOL E INGLES: licenciatura\n",
            "MERCADEO Y VENTAS: mercadeo\n",
            "ADMINISTRACION DE SISTEMAS: administracion\n",
            "COMUNICACIÓN CORPORATIVA: comunicacion\n",
            "INGENIERÍA URBANA: ingenieria\n",
            "INGENIER¿A INDUSTRIAL: ingeniera\n",
            "DISE¿O CROSSMEDIA: diseo\n",
            "ESTUDIOS LITERARIOS Y EDICION: estudios\n",
            "DISEÑO Y GESTIÓN DE ESPACIOS: diseño\n",
            "INGENIERÍA OCEANOGRÁFICA: ingenieria\n",
            "DIRECCION DE BANDA: direccion\n",
            "TEATRO MUSICAL: musical\n",
            "SISTEMAS DE INFORMACIÓN, BIBLIOTECOLOGÍA Y ARCHIVÍSTICA: sistemas\n",
            "LICENCIATURA EN EDUCACIÓN BÁSICA CON ÉNFASIS EN EDUCACIÓN ARTÍSTICA Y CULTURAL: licenciatura\n",
            "DISEÑO Y REALIZACIÓN DE MEDIOS DIGITALES: diseño\n",
            "ANIMACIÓN: animacion\n",
            "PROFESIONAL EN DISEÑO DE VESTUARIO: diseño\n",
            "COMUNICACIÓN VISUAL Y MULTIMEDIA: comunicacion\n",
            "INGENIERIA EN CONTROL Y AUTOMATIZACION INDUSTRIAL: ingenieria\n",
            "CIENCIAS DE LA COMPUTACION: ciencias\n",
            "LICENCIATURA EN FILOSOF¿A Y HUMANIDADES: licenciatura\n",
            "LICENCIATURA EN CIENCIAS NATURALES: FÍSICA QUÍMICA Y BIOLOGÍA: licenciatura\n",
            "MATEMATICAS APLICADAS: matematicas\n",
            "ADMINISTRACIÓN AGROINDUSTRIAL: administracion\n",
            "INGENIERIA EN DISEÑO INDUSTRIAL: diseño\n",
            "LICENCIATURA EN HUMANIDADES: licenciatura\n",
            "ADMINISTRACION INFORMATICA: administracion\n",
            "OCEANOGRAFÍA: oceanografia\n",
            "COMERCIO Y FINANZAS INTERNACIONALES: finanzas\n",
            "LICENCIATURA EN ARTE Y FOLKLORE: arte\n",
            "FORMACION PROFESIONAL EN DEPORTE: deporte\n",
            "INGENIERIA MECATRÓNICA: ingenieria\n",
            "LICENCIATURA EN ESPAÑOL Y FILOLOGÍA: licenciatura\n",
            "ADMINISTRACION EN NEGOCIOS INTERNACIONALES: administracion\n",
            "PROFESIONAL EN ARTES GASTRONOMICAS: artes\n",
            "COMPUTACIÓN CIENTÍFICA: computacion\n",
            "PROFESIONAL EN DISEÑO DE MODAS: diseño\n",
            "ADMINISTRACION DE COMERCIO EXTERIOR: administracion\n",
            "ADMINISTRACION TURISTICA: administracion\n",
            "LICENCIATURA EN PEDAGOGIA REEDUCATIVA: licenciatura\n",
            "PROFESIONAL EN PUBLICIDAD Y MERCADEO: mercadeo\n",
            "INGENIERIA EN AUTOMATIZACION INDUSTRIAL: ingenieria\n",
            "DEPORTE Y ACTIVIDADA FISICA: deporte\n",
            "LICENCIATURA EN EDUCACION INICIAL: licenciatura\n",
            "LICENCIATURA  EN  CIENCIAS  SOCIALES: licenciatura\n",
            "LICENCIATURA EN MATEM¿TICAS: licenciatura\n",
            "LENGUAS MODERNAS Y CULTURA: lenguas\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN EDUCACION  FISICA, DEPORTES Y RECREACION: licenciatura\n",
            "BELLAS ARTES: artes\n",
            "LICENCIATURA EN EDUCACI¿N F¿SICA RECREACI¿N Y DEPORTES: licenciatura\n",
            "LICENCIATURA EN QUIMICA Y EDUCACION AMBIENTAL: licenciatura\n",
            "BANCA Y FINANZAS INTERNACIONALES: finanzas\n",
            "DISENO GRAFICO: grafico\n",
            "LICENCIATURA EN EDUCACION BASICA ENFASIS EN CIENCIAS SOCIALES: licenciatura\n",
            "DISEÑO GRAFICO Y MULTIMEDIAL: diseño\n",
            "LICENCIATURA EN EDUCACION ENFASIS EN INFORMATICA: licenciatura\n",
            "LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN EL AREA DE TECNOLOGIA E INFORMATICA: licenciatura\n",
            "ADMINISTRACION TECNOLOGICA: administracion\n",
            "LICENCIATURA EN EDUCACIÓN BÁSICA PRIMARIA CON ÉNFASIS EN INGLÉS Y EN FRANCÉS: licenciatura\n",
            "PROFESIONAL EN  AGROINDUSTRIA: agroindustria\n",
            "LICENCIATURA EN ARTES ESC¿NICAS: artes\n",
            "GESTIÓN CULTURAL: gestion\n",
            "INGENIERÍA EN SEGURIDAD Y SALUD EN EL TRABAJO: ingenieria\n",
            "GESTIÓN  DE SISTEMAS DE INFORMACIÓN: gestion\n",
            "DISEÑO DE MODAS Y ALTA COSTURA: diseño\n",
            "LICENCIATURA EN EDUCACION ENFASIS EN CIENCIAS SOCIALES: licenciatura\n",
            "LICENCIATURA EN EDUCACION FISICA, DEPORTE Y RECREACION ENFASIS RURAL: licenciatura\n",
            "LICENCIATURA EN EDUCACION BASICA PRIMARIA:ENFASIS EN CIENCIAS SOCIALES: licenciatura\n",
            "LICENCIATURA EN CIENCIAS DE LA EDUCACION: licenciatura\n",
            "ADMINISTRACIÓN DE EMPRESAS TURISTICAS POR CICLOS - CICLO PROFESIONAL: administracion\n",
            "PROFESIONAL UNIVERSITARIO EN DISEÑO TEXTIL PARA LA INDUSTRIA: diseño\n",
            "QUIMICA Y FARMACIA: farmacia\n",
            "LICENCIATURA EN EDUCACON FISICA, RECREACION Y DEPORTES: licenciatura\n",
            "PROFESIONAL EN INVESTIGACIÓN CRIMINAL: investigacion\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z['ESTU_PRGM_ACADEMICO'] = z['ESTU_PRGM_ACADEMICO'].replace(mappings)"
      ],
      "metadata": {
        "id": "kSA9rH6mEEza"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(z.ESTU_PRGM_ACADEMICO.unique())"
      ],
      "metadata": {
        "id": "HGNy2-fiqWs7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dfc11003-d169-42c6-e73d-0661f5610a07"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "276"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sorted(z.ESTU_PRGM_ACADEMICO.unique())"
      ],
      "metadata": {
        "collapsed": true,
        "id": "dyHUFHSzqL8_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a14331b5-daaf-486e-f147-f94db96d4d80"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['ADMINISTRACION DE SISTEMAS INFORMÁTICOS',\n",
              " 'ADMINISTRACION INFORMÁTICA',\n",
              " 'ADMINISTRACIÓN COMERCIAL',\n",
              " 'ADMINISTRACIÓN DE COMERCIO EXTERIOR',\n",
              " 'ADMINISTRACIÓN DE EMPRESAS',\n",
              " 'ADMINISTRACIÓN DE EMPRESAS AGROINDUSTRIALES',\n",
              " 'ADMINISTRACIÓN DE EMPRESAS AGROPECUARIAS',\n",
              " 'ADMINISTRACIÓN DE EMPRESAS TURÍSTICAS',\n",
              " 'ADMINISTRACIÓN DE EMPRESAS TURÍSTICAS Y HOTELERAS',\n",
              " 'ADMINISTRACIÓN DE NEGOCIOS INTERNACIONALES',\n",
              " 'ADMINISTRACIÓN DE SERVICIOS DE SALUD',\n",
              " 'ADMINISTRACIÓN EN SALUD',\n",
              " 'ADMINISTRACIÓN FINANCIERA',\n",
              " 'ADMINISTRACIÓN LOGÍSTICA',\n",
              " 'ADMINISTRACIÓN MARITIMA Y PORTUARIA',\n",
              " 'ADMINISTRACIÓN PÚBLICA',\n",
              " 'ADMINISTRACIÓN TECNÓLOGICA',\n",
              " 'ADMINISTRACIÓN TURÍSTICA Y HOTELERA',\n",
              " 'ADMINISTRACIÓN TÚRÍSTICA',\n",
              " 'ADMINISTRACIÓN Y NEGOCIOS INTERNACIONALES',\n",
              " 'ANTROPOLOGÍA',\n",
              " 'ARTES ESCÉNICAS',\n",
              " 'ARTES PLÁSTICAS',\n",
              " 'ARTES PLÁSTICAS Y VISUALES',\n",
              " 'BIOINGENIERÍA',\n",
              " 'BIOLOGÍA',\n",
              " 'BIOLOGÍA AMBIENTAL',\n",
              " 'CIENCIA POLÍTICA',\n",
              " 'CIENCIA POLÍTICA Y GOBIERNO',\n",
              " 'CIENCIAS POLÍTICAS',\n",
              " 'CINE Y TELEVISIÓN',\n",
              " 'COMUNICACIÓN AUDIOVISUAL',\n",
              " 'COMUNICACIÓN PUBLICITARIA',\n",
              " 'COMUNICACIÓN SOCIAL',\n",
              " 'COMUNICACIÓN SOCIAL - PERIODISMO',\n",
              " 'COMUNICACIÓN SOCIAL Y PERIODISMO',\n",
              " 'CONTADURÍA PÚBLICA.',\n",
              " 'DERECHO Y CIENCIAS POLÍTICAS',\n",
              " 'DISEÑO GRÁFICO',\n",
              " 'ECOLOGÍA',\n",
              " 'ECONOMÍA',\n",
              " 'ENFERMERÍA',\n",
              " 'ESTADÍSTICA',\n",
              " 'ESTUDIOS Y GESTIÓN CULTURAL',\n",
              " 'FILOSOFÍA',\n",
              " 'FILOSOFÍA Y HUMANIDADES',\n",
              " 'FÍSICA',\n",
              " 'GASTRONOMÍA',\n",
              " 'GEOLOGÍA',\n",
              " 'GESTIÓN EN ECOLOGÍA Y TURISMO',\n",
              " 'INGENIERIA AGROFORESTAL',\n",
              " 'INGENIERIA EN TELECOMUNICACIONES',\n",
              " 'INGENIERIA TELEMÁTICA',\n",
              " 'INGENIERÍA AERONÁUTICA',\n",
              " 'INGENIERÍA AGROECOLÓGICA',\n",
              " 'INGENIERÍA AGROINDUSTRIAL',\n",
              " 'INGENIERÍA AGRONÓMICA',\n",
              " 'INGENIERÍA AGROPECUARIA',\n",
              " 'INGENIERÍA AGRÍCOLA',\n",
              " 'INGENIERÍA AMBIENTAL',\n",
              " 'INGENIERÍA AMBIENTAL Y SANITARIA',\n",
              " 'INGENIERÍA BIOMÉDICA',\n",
              " 'INGENIERÍA CIVIL',\n",
              " 'INGENIERÍA DE ALIMENTOS',\n",
              " 'INGENIERÍA DE MATERIALES',\n",
              " 'INGENIERÍA DE MINAS',\n",
              " 'INGENIERÍA DE PETRÓLEOS',\n",
              " 'INGENIERÍA DE PRODUCCIÓN',\n",
              " 'INGENIERÍA DE SISTEMAS',\n",
              " 'INGENIERÍA DE SISTEMAS Y COMPUTACIÓN',\n",
              " 'INGENIERÍA DE SOFTWARE',\n",
              " 'INGENIERÍA DE TELECOMUNICACIONES',\n",
              " 'INGENIERÍA ELECTROMECÁNICA',\n",
              " 'INGENIERÍA ELECTRÓNICA',\n",
              " 'INGENIERÍA ELECTRÓNICA Y TELECOMUNICACIONES',\n",
              " 'INGENIERÍA ELÉCTRICA',\n",
              " 'INGENIERÍA EN AUTOMATIZACIÓN',\n",
              " 'INGENIERÍA EN DISEÑO INDUSTRIAL',\n",
              " 'INGENIERÍA EN ENERGÍA',\n",
              " 'INGENIERÍA EN ENERGÍAS',\n",
              " 'INGENIERÍA EN INFORMÁTICA',\n",
              " 'INGENIERÍA EN SEGURIDAD Y SALUD PARA EL TRABAJO',\n",
              " 'INGENIERÍA EN TELEMÁTICA',\n",
              " 'INGENIERÍA FORESTAL',\n",
              " 'INGENIERÍA GEOGRÁFICA Y AMBIENTAL',\n",
              " 'INGENIERÍA GEOLÓGICA',\n",
              " 'INGENIERÍA INDUSTRIAL',\n",
              " 'INGENIERÍA INFORMÁTICA',\n",
              " 'INGENIERÍA MECATRÓNICA',\n",
              " 'INGENIERÍA MECÁNICA',\n",
              " 'INGENIERÍA MULTIMEDIA',\n",
              " 'INGENIERÍA NAVAL',\n",
              " 'INGENIERÍA QUÍMICA',\n",
              " 'INGENIERÍA SANITARIA',\n",
              " 'INVESTIGACIÓN CRIMINAL',\n",
              " 'LICENCIATURA EN ARTES ESCÉNICAS',\n",
              " 'LICENCIATURA EN BIOLOGÍA',\n",
              " 'LICENCIATURA EN CIENCIAS NATURALES Y EDUCACIÓN AMBIENTAL',\n",
              " 'LICENCIATURA EN CIENCIAS SOCIALES',\n",
              " 'LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES Y LENGUA CASTELLANA',\n",
              " 'LICENCIATURA EN EDUCACION BASICA CON ENFASIS EN HUMANIDADES: LENGUA CASTELLANA E INGLES',\n",
              " 'LICENCIATURA EN EDUCACION BASICA, ENFASIS EN CIENCIAS NATURALES Y EDUCACION AMBIENTAL',\n",
              " 'LICENCIATURA EN EDUCACIÓN  FÍSICA, RECREACIÓN Y DEPORTES',\n",
              " 'LICENCIATURA EN EDUCACIÓN ARTÍSTICA',\n",
              " 'LICENCIATURA EN EDUCACIÓN ARTÍSTICA Y CULTURAL',\n",
              " 'LICENCIATURA EN EDUCACIÓN BILINGUE',\n",
              " 'LICENCIATURA EN EDUCACIÓN BÁSICA CON ÉNFASIS EN CIENCIAS NATURALES Y EDUCACIÓN AMBIENTAL',\n",
              " 'LICENCIATURA EN EDUCACIÓN BÁSICA CON ÉNFASIS EN CIENCIAS SOCIALES',\n",
              " 'LICENCIATURA EN EDUCACIÓN BÁSICA CON ÉNFASIS EN EDUCACIÓN ARTÍSTICA',\n",
              " 'LICENCIATURA EN EDUCACIÓN BÁSICA CON ÉNFASIS EN HUMANIDADES: ESPAÑOL E INGLÉS',\n",
              " 'LICENCIATURA EN EDUCACIÓN BÁSICA CON ÉNFASIS EN INGLÉS',\n",
              " 'LICENCIATURA EN EDUCACIÓN BÁSICA PRIMARIA',\n",
              " 'LICENCIATURA EN EDUCACIÓN BÁSICA, CON ÉNFASIS EN HUMANIDADES, LENGUA CASTELLANA',\n",
              " 'LICENCIATURA EN EDUCACIÓN ESPECIAL',\n",
              " 'LICENCIATURA EN EDUCACIÓN FÍSICA DEPORTES Y RECREACIÓN',\n",
              " 'LICENCIATURA EN EDUCACIÓN FÍSICA Y DEPORTES',\n",
              " 'LICENCIATURA EN EDUCACIÓN FÍSICA, RECREACIÓN Y DEPORTE',\n",
              " 'LICENCIATURA EN EDUCACIÓN INFANTIL',\n",
              " 'LICENCIATURA EN EDUCACIÓN PARA LA PRIMERA INFANCIA',\n",
              " 'LICENCIATURA EN EDUCACIÓN PREESCOLAR',\n",
              " 'LICENCIATURA EN EDUCACIÓN: ARTES PLÁSTICAS',\n",
              " 'LICENCIATURA EN ESPAÑOL E INGLÉS',\n",
              " 'LICENCIATURA EN FILOSOFÍA',\n",
              " 'LICENCIATURA EN FÍSICA',\n",
              " 'LICENCIATURA EN INGLES Y FRANCES',\n",
              " 'LICENCIATURA EN INGLÉS',\n",
              " 'LICENCIATURA EN LENGUAS EXTRANJERAS',\n",
              " 'LICENCIATURA EN LENGUAS EXTRANJERAS: INGLES-FRANCES',\n",
              " 'LICENCIATURA EN LITERATURA Y LENGUA CASTELLANA',\n",
              " 'LICENCIATURA EN MATEMÁTICAS',\n",
              " 'LICENCIATURA EN MATEMÁTICAS Y FÍSICA',\n",
              " 'LICENCIATURA EN MÚSICA',\n",
              " 'LICENCIATURA EN PEDAGOGÍA INFANTIL',\n",
              " 'LICENCIATURA EN TECNOLOGÍA E INFORMÁTICA',\n",
              " 'LICENCIATURA EN TEOLOGÍA',\n",
              " 'Licenciatura en Lenguas Extranjeras con Énfasis en Inglés',\n",
              " 'MAESTRO EN MÚSICA',\n",
              " 'MATEMÁTICAS',\n",
              " 'MICROBIOLOGÍA',\n",
              " 'MICROBIOLOGÍA INDUSTRIAL Y AMBIENTAL',\n",
              " 'MICROBIOLOGÍA Y BIOANÁLISIS',\n",
              " 'MÚSICA',\n",
              " 'NUTRICIÓN Y DIETÉTICA',\n",
              " 'ODONTOLOGÍA',\n",
              " 'OPTOMETRÍA',\n",
              " 'PROFESIONAL EN ACTIVIDAD FÍSICA Y DEPORTE',\n",
              " 'PROFESIONAL EN AGROINDUSTRIA',\n",
              " 'PROFESIONAL EN DISEÑO GRÁFICO',\n",
              " 'PROFESIONAL EN GASTRONOMÍA',\n",
              " 'PSICOLOGÍA',\n",
              " 'QUÍMICA',\n",
              " 'QUÍMICA FARMACÉUTICA',\n",
              " 'QUÍMICA INDUSTRIAL',\n",
              " 'SOCIOLOGÍA',\n",
              " 'TEOLOGÍA',\n",
              " 'acuicultura',\n",
              " 'administracin',\n",
              " 'administracion',\n",
              " 'agroindustria',\n",
              " 'agronegocios',\n",
              " 'agronomia',\n",
              " 'animacion',\n",
              " 'antropologia',\n",
              " 'archivistica',\n",
              " 'arqueologia',\n",
              " 'arquitectura',\n",
              " 'arte',\n",
              " 'artes',\n",
              " 'astronomia',\n",
              " 'bacteriologia',\n",
              " 'bibliotecologia',\n",
              " 'bioingenieria',\n",
              " 'biologia',\n",
              " 'bioquimica',\n",
              " 'biotecnologia',\n",
              " 'ciencia',\n",
              " 'ciencias',\n",
              " 'cine',\n",
              " 'comercio',\n",
              " 'computacion',\n",
              " 'comunicacin',\n",
              " 'comunicacion',\n",
              " 'comunicaciones',\n",
              " 'conservacion',\n",
              " 'construccion',\n",
              " 'construcciones',\n",
              " 'contaduria',\n",
              " 'creacion',\n",
              " 'criminalistica',\n",
              " 'danza',\n",
              " 'deporte',\n",
              " 'deportiva',\n",
              " 'derecho',\n",
              " 'desarrollo',\n",
              " 'digitales',\n",
              " 'direccion',\n",
              " 'diseo',\n",
              " 'diseño',\n",
              " 'ecologia',\n",
              " 'economa',\n",
              " 'economia',\n",
              " 'empresas',\n",
              " 'enfermeria',\n",
              " 'entrenamiento',\n",
              " 'español',\n",
              " 'estadistica',\n",
              " 'estudios',\n",
              " 'farmacia',\n",
              " 'filologia',\n",
              " 'filosofia',\n",
              " 'finanzas',\n",
              " 'fisica',\n",
              " 'fisioterapia',\n",
              " 'fonoaudiologia',\n",
              " 'fotografia',\n",
              " 'gastronoma',\n",
              " 'gastronomia',\n",
              " 'geociencias',\n",
              " 'geografia',\n",
              " 'geologa',\n",
              " 'geologia',\n",
              " 'gerontologia',\n",
              " 'gestion',\n",
              " 'gobierno',\n",
              " 'grafico',\n",
              " 'historia',\n",
              " 'ingeniera',\n",
              " 'ingenieria',\n",
              " 'instrumentacion',\n",
              " 'internacionales',\n",
              " 'investigacion',\n",
              " 'jurisprudencia',\n",
              " 'lenguas',\n",
              " 'licenciatura',\n",
              " 'linguistica',\n",
              " 'literatura',\n",
              " 'logistica',\n",
              " 'marketing',\n",
              " 'matematica',\n",
              " 'matematicas',\n",
              " 'medicina',\n",
              " 'medios',\n",
              " 'mercadeo',\n",
              " 'mercadologia',\n",
              " 'microbiologia',\n",
              " 'musica',\n",
              " 'musical',\n",
              " 'negocios',\n",
              " 'nutricion',\n",
              " 'oceanografia',\n",
              " 'odontologia',\n",
              " 'optometria',\n",
              " 'pedagogia',\n",
              " 'periodismo',\n",
              " 'produccion',\n",
              " 'psicologa',\n",
              " 'psicologia',\n",
              " 'publicidad',\n",
              " 'quimica',\n",
              " 'quirurgica',\n",
              " 'qumica',\n",
              " 'recreacion',\n",
              " 'salud',\n",
              " 'seguridad',\n",
              " 'sistemas',\n",
              " 'social',\n",
              " 'sociologia',\n",
              " 'software',\n",
              " 'teologia',\n",
              " 'terapia',\n",
              " 'terapias',\n",
              " 'traduccion',\n",
              " 'turismo',\n",
              " 'turistica',\n",
              " 'urbanismo',\n",
              " 'zootecnia']"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.ESTU_PRGM_ACADEMICO"
      ],
      "metadata": {
        "id": "YTwXoopdFDtx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 479
        },
        "outputId": "bca14c43-d60f-4547-faf2-e7ba45754095"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0             enfermeria\n",
              "1                derecho\n",
              "2               mercadeo\n",
              "3         administracion\n",
              "4             psicologia\n",
              "               ...      \n",
              "692495          biologia\n",
              "692496        psicologia\n",
              "692497    administracion\n",
              "692498        psicologia\n",
              "692499        psicologia\n",
              "Name: ESTU_PRGM_ACADEMICO, Length: 692500, dtype: object"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\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>ESTU_PRGM_ACADEMICO</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>enfermeria</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>derecho</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>mercadeo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>administracion</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>psicologia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>692495</th>\n",
              "      <td>biologia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>692496</th>\n",
              "      <td>psicologia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>692497</th>\n",
              "      <td>administracion</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>692498</th>\n",
              "      <td>psicologia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>692499</th>\n",
              "      <td>psicologia</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>692500 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> object</label>"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### OneHot"
      ],
      "metadata": {
        "id": "zLQAVSkgzOm3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_onehot = pd.get_dummies(z['ESTU_PRGM_ACADEMICO'], prefix='PRGA')\n",
        "z = pd.concat([z, df_onehot], axis=1)"
      ],
      "metadata": {
        "id": "PeXuJrsnzaoQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "id": "rqI3Vv9gzaoS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.drop(columns=['ESTU_PRGM_ACADEMICO'], inplace=True)"
      ],
      "metadata": {
        "id": "RkfI_GJxzaoS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "id": "NmrFueqezaoT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Departamento"
      ],
      "metadata": {
        "id": "bWBtc2Tsj8Qu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "len(z.ESTU_PRGM_DEPARTAMENTO.unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A1CSoEVN3ikx",
        "outputId": "a757ff0d-cbec-4ab0-ba79-02e8b44ac280"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "31"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(sorted(z.ESTU_PRGM_DEPARTAMENTO.unique()))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ua7o3dMzj-Qm",
        "outputId": "49873f2e-fefa-43e5-b94e-0f2975b1b0f3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "31"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiendo de columna: Variable nominal"
      ],
      "metadata": {
        "id": "3AUxlEXjmUpz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Se eliminan los espacios para poder acceder a la variables asi: z.EL_DEPARTAMENTO\n",
        "z['ESTU_PRGM_DEPARTAMENTO'] = z['ESTU_PRGM_DEPARTAMENTO'].str.replace(' ', '_')\n",
        "sorted(z.ESTU_PRGM_DEPARTAMENTO.unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aCE20JYa2FnH",
        "outputId": "d72e6c40-7c75-4705-aa97-140393a4d4b5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['AMAZONAS',\n",
              " 'ANTIOQUIA',\n",
              " 'ARAUCA',\n",
              " 'ATLANTICO',\n",
              " 'BOGOTÁ',\n",
              " 'BOLIVAR',\n",
              " 'BOYACA',\n",
              " 'CALDAS',\n",
              " 'CAQUETA',\n",
              " 'CASANARE',\n",
              " 'CAUCA',\n",
              " 'CESAR',\n",
              " 'CHOCO',\n",
              " 'CORDOBA',\n",
              " 'CUNDINAMARCA',\n",
              " 'GUAVIARE',\n",
              " 'HUILA',\n",
              " 'LA_GUAJIRA',\n",
              " 'MAGDALENA',\n",
              " 'META',\n",
              " 'NARIÑO',\n",
              " 'NORTE_SANTANDER',\n",
              " 'PUTUMAYO',\n",
              " 'QUINDIO',\n",
              " 'RISARALDA',\n",
              " 'SANTANDER',\n",
              " 'SAN_ANDRES',\n",
              " 'SUCRE',\n",
              " 'TOLIMA',\n",
              " 'VALLE',\n",
              " 'VAUPES']"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### OneHot"
      ],
      "metadata": {
        "id": "eiVyqHbtodaf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_onehot = pd.get_dummies(z['ESTU_PRGM_DEPARTAMENTO'], prefix='DEP')\n",
        "z = pd.concat([z, df_onehot], axis=1)"
      ],
      "metadata": {
        "id": "2rtNy85P25Ux"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 342
        },
        "id": "ParS0atn0TAY",
        "outputId": "8aceee78-ece1-49e6-99f5-c49801d338e8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID ESTU_PRGM_DEPARTAMENTO            ESTU_VALORMATRICULAUNIVERSIDAD  \\\n",
              "0  904256                 BOGOTÁ  Entre 5.5 millones y menos de 7 millones   \n",
              "1  645256              ATLANTICO  Entre 2.5 millones y menos de 4 millones   \n",
              "2  308367                 BOGOTÁ  Entre 2.5 millones y menos de 4 millones   \n",
              "3  470353              SANTANDER  Entre 4 millones y menos de 5.5 millones   \n",
              "4  989032              ANTIOQUIA  Entre 2.5 millones y menos de 4 millones   \n",
              "\n",
              "  ESTU_HORASSEMANATRABAJA FAMI_ESTRATOVIVIENDA FAMI_TIENEINTERNET  \\\n",
              "0       Menos de 10 horas            Estrato 3                 Si   \n",
              "1                       0            Estrato 3                 No   \n",
              "2         Más de 30 horas            Estrato 3                 Si   \n",
              "3                       0            Estrato 4                 Si   \n",
              "4     Entre 21 y 30 horas            Estrato 3                 Si   \n",
              "\n",
              "                  FAMI_EDUCACIONPADRE                 FAMI_EDUCACIONMADRE  \\\n",
              "0    Técnica o tecnológica incompleta                           Postgrado   \n",
              "1      Técnica o tecnológica completa    Técnica o tecnológica incompleta   \n",
              "2  Secundaria (Bachillerato) completa  Secundaria (Bachillerato) completa   \n",
              "3                             No sabe  Secundaria (Bachillerato) completa   \n",
              "4                   Primaria completa                   Primaria completa   \n",
              "\n",
              "  ESTU_PAGOMATRICULAPROPIO RENDIMIENTO_GLOBAL  ...  DEP_NORTE_SANTANDER  \\\n",
              "0                       No         medio-alto  ...                False   \n",
              "1                       No               bajo  ...                False   \n",
              "2                       No               bajo  ...                False   \n",
              "3                       No               alto  ...                False   \n",
              "4                       No         medio-bajo  ...                False   \n",
              "\n",
              "   DEP_PUTUMAYO  DEP_QUINDIO  DEP_RISARALDA  DEP_SANTANDER  DEP_SAN_ANDRES  \\\n",
              "0         False        False          False          False           False   \n",
              "1         False        False          False          False           False   \n",
              "2         False        False          False          False           False   \n",
              "3         False        False          False           True           False   \n",
              "4         False        False          False          False           False   \n",
              "\n",
              "   DEP_SUCRE  DEP_TOLIMA  DEP_VALLE  DEP_VAUPES  \n",
              "0      False       False      False       False  \n",
              "1      False       False      False       False  \n",
              "2      False       False      False       False  \n",
              "3      False       False      False       False  \n",
              "4      False       False      False       False  \n",
              "\n",
              "[5 rows x 167 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-724986e5-f9bf-4e3e-a5dc-75428053f27e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "        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>ID</th>\n",
              "      <th>ESTU_PRGM_DEPARTAMENTO</th>\n",
              "      <th>ESTU_VALORMATRICULAUNIVERSIDAD</th>\n",
              "      <th>ESTU_HORASSEMANATRABAJA</th>\n",
              "      <th>FAMI_ESTRATOVIVIENDA</th>\n",
              "      <th>FAMI_TIENEINTERNET</th>\n",
              "      <th>FAMI_EDUCACIONPADRE</th>\n",
              "      <th>FAMI_EDUCACIONMADRE</th>\n",
              "      <th>ESTU_PAGOMATRICULAPROPIO</th>\n",
              "      <th>RENDIMIENTO_GLOBAL</th>\n",
              "      <th>...</th>\n",
              "      <th>DEP_NORTE_SANTANDER</th>\n",
              "      <th>DEP_PUTUMAYO</th>\n",
              "      <th>DEP_QUINDIO</th>\n",
              "      <th>DEP_RISARALDA</th>\n",
              "      <th>DEP_SANTANDER</th>\n",
              "      <th>DEP_SAN_ANDRES</th>\n",
              "      <th>DEP_SUCRE</th>\n",
              "      <th>DEP_TOLIMA</th>\n",
              "      <th>DEP_VALLE</th>\n",
              "      <th>DEP_VAUPES</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>904256</td>\n",
              "      <td>BOGOTÁ</td>\n",
              "      <td>Entre 5.5 millones y menos de 7 millones</td>\n",
              "      <td>Menos de 10 horas</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>Si</td>\n",
              "      <td>Técnica o tecnológica incompleta</td>\n",
              "      <td>Postgrado</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-alto</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>645256</td>\n",
              "      <td>ATLANTICO</td>\n",
              "      <td>Entre 2.5 millones y menos de 4 millones</td>\n",
              "      <td>0</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>No</td>\n",
              "      <td>Técnica o tecnológica completa</td>\n",
              "      <td>Técnica o tecnológica incompleta</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>308367</td>\n",
              "      <td>BOGOTÁ</td>\n",
              "      <td>Entre 2.5 millones y menos de 4 millones</td>\n",
              "      <td>Más de 30 horas</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>Si</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
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              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>470353</td>\n",
              "      <td>SANTANDER</td>\n",
              "      <td>Entre 4 millones y menos de 5.5 millones</td>\n",
              "      <td>0</td>\n",
              "      <td>Estrato 4</td>\n",
              "      <td>Si</td>\n",
              "      <td>No sabe</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
              "      <td>alto</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>989032</td>\n",
              "      <td>ANTIOQUIA</td>\n",
              "      <td>Entre 2.5 millones y menos de 4 millones</td>\n",
              "      <td>Entre 21 y 30 horas</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>Si</td>\n",
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              "      <td>Primaria completa</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-bajo</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 167 columns</p>\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.drop(columns=['ESTU_PRGM_DEPARTAMENTO'], inplace=True)"
      ],
      "metadata": {
        "id": "UPnFFo527Y9K"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 342
        },
        "id": "qPA_9j187gJi",
        "outputId": "fbe33181-ed94-49dc-fbe9-e90c9bf18c4d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID            ESTU_VALORMATRICULAUNIVERSIDAD ESTU_HORASSEMANATRABAJA  \\\n",
              "0  904256  Entre 5.5 millones y menos de 7 millones       Menos de 10 horas   \n",
              "1  645256  Entre 2.5 millones y menos de 4 millones                       0   \n",
              "2  308367  Entre 2.5 millones y menos de 4 millones         Más de 30 horas   \n",
              "3  470353  Entre 4 millones y menos de 5.5 millones                       0   \n",
              "4  989032  Entre 2.5 millones y menos de 4 millones     Entre 21 y 30 horas   \n",
              "\n",
              "  FAMI_ESTRATOVIVIENDA FAMI_TIENEINTERNET                 FAMI_EDUCACIONPADRE  \\\n",
              "0            Estrato 3                 Si    Técnica o tecnológica incompleta   \n",
              "1            Estrato 3                 No      Técnica o tecnológica completa   \n",
              "2            Estrato 3                 Si  Secundaria (Bachillerato) completa   \n",
              "3            Estrato 4                 Si                             No sabe   \n",
              "4            Estrato 3                 Si                   Primaria completa   \n",
              "\n",
              "                  FAMI_EDUCACIONMADRE ESTU_PAGOMATRICULAPROPIO  \\\n",
              "0                           Postgrado                       No   \n",
              "1    Técnica o tecnológica incompleta                       No   \n",
              "2  Secundaria (Bachillerato) completa                       No   \n",
              "3  Secundaria (Bachillerato) completa                       No   \n",
              "4                   Primaria completa                       No   \n",
              "\n",
              "  RENDIMIENTO_GLOBAL  PRGA_acuicultura  ...  DEP_NORTE_SANTANDER  \\\n",
              "0         medio-alto             False  ...                False   \n",
              "1               bajo             False  ...                False   \n",
              "2               bajo             False  ...                False   \n",
              "3               alto             False  ...                False   \n",
              "4         medio-bajo             False  ...                False   \n",
              "\n",
              "   DEP_PUTUMAYO  DEP_QUINDIO  DEP_RISARALDA  DEP_SANTANDER  DEP_SAN_ANDRES  \\\n",
              "0         False        False          False          False           False   \n",
              "1         False        False          False          False           False   \n",
              "2         False        False          False          False           False   \n",
              "3         False        False          False           True           False   \n",
              "4         False        False          False          False           False   \n",
              "\n",
              "   DEP_SUCRE  DEP_TOLIMA  DEP_VALLE  DEP_VAUPES  \n",
              "0      False       False      False       False  \n",
              "1      False       False      False       False  \n",
              "2      False       False      False       False  \n",
              "3      False       False      False       False  \n",
              "4      False       False      False       False  \n",
              "\n",
              "[5 rows x 166 columns]"
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              "      <td>False</td>\n",
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              "      <td>Estrato 3</td>\n",
              "      <td>Si</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
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              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>989032</td>\n",
              "      <td>Entre 2.5 millones y menos de 4 millones</td>\n",
              "      <td>Entre 21 y 30 horas</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>Si</td>\n",
              "      <td>Primaria completa</td>\n",
              "      <td>Primaria completa</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 166 columns</p>\n",
              "</div>\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-e9776a08-ea10-41b2-a260-35c74ac544a7');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    30% {\n",
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              "    40% {\n",
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              "      border-top-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7ed054d7-efae-405a-839c-7a34f6ce889d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Decisiones de las columnas con NAN"
      ],
      "metadata": {
        "id": "9wI4XLK8_NsA"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Con el precio de la matricula"
      ],
      "metadata": {
        "id": "AlaynB4zap4d"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Posibildades de preprocesamiento:\n",
        "\n",
        "\n",
        "*   Agrupar en clases y trabajarlo como variables ordinales. Ejemplo : No pago matricula: 0, Menos de 500 mil: 1, ...\n",
        "*   Promedio de los valores.\n",
        "*  Agarrar el inferior o el  superior.\n",
        "*  Trabajarlo como etiquetas (OneHot)\n"
      ],
      "metadata": {
        "id": "ZKu-TdZ5G_Yk"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Posibiliades para la valores nulos:\n",
        "\n",
        "*   Media\n",
        "*   Moda\n",
        "*   Mediana\n",
        "*   Descartarlos\n",
        "*   Por un valor particular\n",
        "*   Cosiderar que no pagaron nada"
      ],
      "metadata": {
        "id": "GC2o3gXwIJ6X"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.ESTU_VALORMATRICULAUNIVERSIDAD.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qps7jdplatWt",
        "outputId": "d91e8f3b-2a30-42f1-c5ef-4719c5c631aa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Entre 5.5 millones y menos de 7 millones',\n",
              "       'Entre 2.5 millones y menos de 4 millones',\n",
              "       'Entre 4 millones y menos de 5.5 millones', 'Más de 7 millones',\n",
              "       'Entre 1 millón y menos de 2.5 millones',\n",
              "       'Entre 500 mil y menos de 1 millón', 'Menos de 500 mil',\n",
              "       'No pagó matrícula', nan], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "(z.shape[0], z.ESTU_VALORMATRICULAUNIVERSIDAD.isna().sum(), z.ESTU_VALORMATRICULAUNIVERSIDAD.isna().sum()/z.shape[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M1DTQQh9IrmI",
        "outputId": "54bda09b-fe1b-4c61-b028-2b0f1fab048c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(692500, 6287, 0.009078700361010831)"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de la columna: Variable ordinal"
      ],
      "metadata": {
        "id": "K8JWNa2aKCE3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.ESTU_VALORMATRICULAUNIVERSIDAD"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "XB67iFwcKdCy",
        "outputId": "630d3a36-68cf-4ac2-fed8-c2e56f52d181"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         Entre 5.5 millones y menos de 7 millones\n",
              "1         Entre 2.5 millones y menos de 4 millones\n",
              "2         Entre 2.5 millones y menos de 4 millones\n",
              "3         Entre 4 millones y menos de 5.5 millones\n",
              "4         Entre 2.5 millones y menos de 4 millones\n",
              "                            ...                   \n",
              "692495           Entre 500 mil y menos de 1 millón\n",
              "692496    Entre 2.5 millones y menos de 4 millones\n",
              "692497      Entre 1 millón y menos de 2.5 millones\n",
              "692498    Entre 2.5 millones y menos de 4 millones\n",
              "692499    Entre 5.5 millones y menos de 7 millones\n",
              "Name: ESTU_VALORMATRICULAUNIVERSIDAD, Length: 692500, dtype: object"
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              "<p>692500 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> object</label>"
            ]
          },
          "metadata": {},
          "execution_count": 46
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    {
      "cell_type": "code",
      "source": [
        "cmap = {'No pagó matrícula': 0,\n",
        "        'Menos de 500 mil': 1,\n",
        "        'Entre 500 mil y menos de 1 millón': 2,\n",
        "        'Entre 1 millón y menos de 2.5 millones': 3,\n",
        "        'Entre 2.5 millones y menos de 4 millones': 4,\n",
        "        'Entre 4 millones y menos de 5.5 millones': 5,\n",
        "        'Entre 5.5 millones y menos de 7 millones': 6,\n",
        "        'Más de 7 millones': 7}\n",
        "\n",
        "z['ESTU_VALORMATRICULAUNIVERSIDAD'] = z['ESTU_VALORMATRICULAUNIVERSIDAD'].replace(cmap)\n",
        "\n",
        "z.ESTU_VALORMATRICULAUNIVERSIDAD.value_counts()\n",
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 325
        },
        "id": "V4_DTr_975D2",
        "outputId": "a9f78513-0020-420f-f90f-6e979aacb4ec"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID  ESTU_VALORMATRICULAUNIVERSIDAD ESTU_HORASSEMANATRABAJA  \\\n",
              "0  904256                             6.0       Menos de 10 horas   \n",
              "1  645256                             4.0                       0   \n",
              "2  308367                             4.0         Más de 30 horas   \n",
              "3  470353                             5.0                       0   \n",
              "4  989032                             4.0     Entre 21 y 30 horas   \n",
              "\n",
              "  FAMI_ESTRATOVIVIENDA FAMI_TIENEINTERNET                 FAMI_EDUCACIONPADRE  \\\n",
              "0            Estrato 3                 Si    Técnica o tecnológica incompleta   \n",
              "1            Estrato 3                 No      Técnica o tecnológica completa   \n",
              "2            Estrato 3                 Si  Secundaria (Bachillerato) completa   \n",
              "3            Estrato 4                 Si                             No sabe   \n",
              "4            Estrato 3                 Si                   Primaria completa   \n",
              "\n",
              "                  FAMI_EDUCACIONMADRE ESTU_PAGOMATRICULAPROPIO  \\\n",
              "0                           Postgrado                       No   \n",
              "1    Técnica o tecnológica incompleta                       No   \n",
              "2  Secundaria (Bachillerato) completa                       No   \n",
              "3  Secundaria (Bachillerato) completa                       No   \n",
              "4                   Primaria completa                       No   \n",
              "\n",
              "  RENDIMIENTO_GLOBAL  PRGA_acuicultura  ...  DEP_NORTE_SANTANDER  \\\n",
              "0         medio-alto             False  ...                False   \n",
              "1               bajo             False  ...                False   \n",
              "2               bajo             False  ...                False   \n",
              "3               alto             False  ...                False   \n",
              "4         medio-bajo             False  ...                False   \n",
              "\n",
              "   DEP_PUTUMAYO  DEP_QUINDIO  DEP_RISARALDA  DEP_SANTANDER  DEP_SAN_ANDRES  \\\n",
              "0         False        False          False          False           False   \n",
              "1         False        False          False          False           False   \n",
              "2         False        False          False          False           False   \n",
              "3         False        False          False           True           False   \n",
              "4         False        False          False          False           False   \n",
              "\n",
              "   DEP_SUCRE  DEP_TOLIMA  DEP_VALLE  DEP_VAUPES  \n",
              "0      False       False      False       False  \n",
              "1      False       False      False       False  \n",
              "2      False       False      False       False  \n",
              "3      False       False      False       False  \n",
              "4      False       False      False       False  \n",
              "\n",
              "[5 rows x 166 columns]"
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              "        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>ID</th>\n",
              "      <th>ESTU_VALORMATRICULAUNIVERSIDAD</th>\n",
              "      <th>ESTU_HORASSEMANATRABAJA</th>\n",
              "      <th>FAMI_ESTRATOVIVIENDA</th>\n",
              "      <th>FAMI_TIENEINTERNET</th>\n",
              "      <th>FAMI_EDUCACIONPADRE</th>\n",
              "      <th>FAMI_EDUCACIONMADRE</th>\n",
              "      <th>ESTU_PAGOMATRICULAPROPIO</th>\n",
              "      <th>RENDIMIENTO_GLOBAL</th>\n",
              "      <th>PRGA_acuicultura</th>\n",
              "      <th>...</th>\n",
              "      <th>DEP_NORTE_SANTANDER</th>\n",
              "      <th>DEP_PUTUMAYO</th>\n",
              "      <th>DEP_QUINDIO</th>\n",
              "      <th>DEP_RISARALDA</th>\n",
              "      <th>DEP_SANTANDER</th>\n",
              "      <th>DEP_SAN_ANDRES</th>\n",
              "      <th>DEP_SUCRE</th>\n",
              "      <th>DEP_TOLIMA</th>\n",
              "      <th>DEP_VALLE</th>\n",
              "      <th>DEP_VAUPES</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>904256</td>\n",
              "      <td>6.0</td>\n",
              "      <td>Menos de 10 horas</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>Si</td>\n",
              "      <td>Técnica o tecnológica incompleta</td>\n",
              "      <td>Postgrado</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-alto</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>645256</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>No</td>\n",
              "      <td>Técnica o tecnológica completa</td>\n",
              "      <td>Técnica o tecnológica incompleta</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>308367</td>\n",
              "      <td>4.0</td>\n",
              "      <td>Más de 30 horas</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>Si</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>470353</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>Estrato 4</td>\n",
              "      <td>Si</td>\n",
              "      <td>No sabe</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
              "      <td>alto</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>989032</td>\n",
              "      <td>4.0</td>\n",
              "      <td>Entre 21 y 30 horas</td>\n",
              "      <td>Estrato 3</td>\n",
              "      <td>Si</td>\n",
              "      <td>Primaria completa</td>\n",
              "      <td>Primaria completa</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 166 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2ec1a0d7-96e2-4a49-99e4-33d4255ef45d')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-2ec1a0d7-96e2-4a49-99e4-33d4255ef45d button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-2ec1a0d7-96e2-4a49-99e4-33d4255ef45d');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-abcaab6e-9d8b-4595-8efb-a13b08caf5ed\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-abcaab6e-9d8b-4595-8efb-a13b08caf5ed')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-abcaab6e-9d8b-4595-8efb-a13b08caf5ed button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de los NaN: Eliminación"
      ],
      "metadata": {
        "id": "fBEmmDRu0UKn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.dropna(subset=['ESTU_VALORMATRICULAUNIVERSIDAD'], inplace=True)\n"
      ],
      "metadata": {
        "id": "dVWDLSEUKI4j"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "(z.shape[0], z.ESTU_VALORMATRICULAUNIVERSIDAD.isna().sum(), z.ESTU_VALORMATRICULAUNIVERSIDAD.isna().sum()/z.shape[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-YqjhnwCKUa5",
        "outputId": "18916eff-6c40-4af1-950f-b46959e16897"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(686213, 0, 0.0)"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Con las horas semanales trabajadas por los estudiantes\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "G-OmRSB3atxb"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Para la columna:\n",
        "\n",
        "* Valores cualitavos(Etiquetas) nominales\n",
        "* Valores cualitavos ordinales\n",
        "  *   Introducir la parte superior\n",
        "  *   Introducir la parte inferior\n",
        "  *   \"0\":0, 'Menos de 10 horas':1, ...\n",
        "* Valores cuantitavos\n",
        "  *   Promedio aritmetico o geometrico\n",
        "\n",
        "Con los NA:\n",
        "\n",
        "* Cualitativa:\n",
        "  *   Eliminar\n",
        "  *   **Moda**\n",
        "  *   Convertir en 0\n",
        "  *   Convertir en -1\n",
        "  *   Hacer imputacion con inferencia de otras columnas\n",
        "\n",
        "* Cuantitativa:\n",
        "  *   Media\n",
        "  *   Mediana\n",
        "\n"
      ],
      "metadata": {
        "id": "ANI6Jdw2mVoI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.ESTU_HORASSEMANATRABAJA.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JEGZtQZ0a5ot",
        "outputId": "641b6a06-5d29-42c9-da6c-4c3823e501b6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Menos de 10 horas', '0', 'Más de 30 horas', 'Entre 21 y 30 horas',\n",
              "       'Entre 11 y 20 horas', nan], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.ESTU_HORASSEMANATRABAJA.isna().sum()/z.shape[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TUrZMMa8mIfG",
        "outputId": "214e5fb0-70d6-4fad-f7ce-3d70b71878d1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.04243143164003014"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de la columna: Variable ordinal"
      ],
      "metadata": {
        "id": "fUkFyJt6KUOa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Defino el orden para los valores ordinales\n",
        "horas_trabajo_mapping = {\n",
        "        '0': 0,\n",
        "        'Menos de 10 horas': 1,\n",
        "        'Entre 11 y 20 horas': 2,\n",
        "        'Entre 21 y 30 horas': 3,\n",
        "        'Más de 30 horas': 4\n",
        "    }\n",
        "\n",
        "# Convierto la columna en tipo categórico ordinal\n",
        "z['ESTU_HORASSEMANATRABAJA'] = z['ESTU_HORASSEMANATRABAJA'].replace(horas_trabajo_mapping)\n",
        "z.ESTU_HORASSEMANATRABAJA.value_counts()\n",
        "\n",
        "# Verifico los cambios\n",
        "print(z['ESTU_HORASSEMANATRABAJA'].value_counts())\n",
        "z.ESTU_HORASSEMANATRABAJA.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zm4Od7VSIk7f",
        "outputId": "0a4b9219-872b-4fda-972b-bcaf578195a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ESTU_HORASSEMANATRABAJA\n",
            "4.0    247759\n",
            "0.0    115572\n",
            "2.0    115079\n",
            "3.0     92015\n",
            "1.0     86671\n",
            "Name: count, dtype: int64\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 1.,  0.,  4.,  3.,  2., nan])"
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de los NaN: Moda"
      ],
      "metadata": {
        "id": "GTdl_oK71Fn-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Reemplazo los valores NaN con la moda\n",
        "moda = z['ESTU_HORASSEMANATRABAJA'].mode()[0]\n",
        "z['ESTU_HORASSEMANATRABAJA'].fillna(moda, inplace=True)\n",
        "print(moda)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X5taJQu-XqD3",
        "outputId": "26e45ecb-9a27-42a7-ef92-5e69b8eb7351"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "4.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.ESTU_HORASSEMANATRABAJA.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "id": "_rUJJ5EWJY63",
        "outputId": "bf5b8a8f-c81b-400d-db51-9c6d9ed3db4c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    1.0\n",
              "1    0.0\n",
              "2    4.0\n",
              "3    0.0\n",
              "4    3.0\n",
              "Name: ESTU_HORASSEMANATRABAJA, dtype: float64"
            ],
            "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>ESTU_HORASSEMANATRABAJA</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Con el estrato de vivienda"
      ],
      "metadata": {
        "id": "_ERsra7Aa6GN"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Para la columna:\n",
        "\n",
        "* Valores cualitavos(Etiquetas) nominales\n",
        "* Valores cualitavos ordinales\n",
        "  *   \"Sin Estrato\":0, \"Estrato 1\":1, 'Estrato 2':2, ...\n",
        "  *   \"Sin Estrato\":1, \"Estrato 1\":2, 'Estrato 2':3, ...\n",
        "\n",
        "Los NA:\n",
        "\n",
        "*   Eliminarlos\n",
        "*   Convertirlos sin estrato.\n",
        "*   ¿Los sin estrato son otro na?\n",
        "*   Hacer imputacion con inferencia de otras columnas"
      ],
      "metadata": {
        "id": "mGK7Z889sdHK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_ESTRATOVIVIENDA.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7RT93LvfbG8X",
        "outputId": "8e6db2f6-5fc1-406d-cdbd-10577c3ebb7b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Estrato 3', 'Estrato 4', 'Estrato 5', 'Estrato 2', 'Estrato 1',\n",
              "       nan, 'Estrato 6', 'Sin Estrato'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_ESTRATOVIVIENDA.isna().sum(),z.FAMI_ESTRATOVIVIENDA.isna().sum()/z.shape[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0mAbR-qItG7D",
        "outputId": "3541e489-d6c7-449a-d91e-40404510348c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(30406, 0.044309857143481686)"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z[z.FAMI_ESTRATOVIVIENDA == \"Sin Estrato\"].shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ak6Iwu3Ft02D",
        "outputId": "4f62a938-d831-491d-a8aa-165484f24ba1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3126, 166)"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_ESTRATOVIVIENDA.isna().sum()+z[z.FAMI_ESTRATOVIVIENDA == \"Sin Estrato\"].shape[0], (z.FAMI_ESTRATOVIVIENDA.isna().sum()+z[z.FAMI_ESTRATOVIVIENDA == \"Sin Estrato\"].shape[0])/z.shape[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LYweKJMjuaCj",
        "outputId": "a0f7786a-f3a9-4a3a-c8c4-9308d105e913"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(33532, 0.048865294012209036)"
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de la columna: Variable ordinal"
      ],
      "metadata": {
        "id": "qPXkaJYaZ7Z6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "estrato_mapping = {\n",
        "    'Estrato 1': 1,\n",
        "    'Estrato 2': 2,\n",
        "    'Estrato 3': 3,\n",
        "    'Estrato 4': 4,\n",
        "    'Estrato 5': 5,\n",
        "    'Estrato 6': 6\n",
        "}\n",
        "\n",
        "# Reemplazamos los valores categóricos por los numéricos\n",
        "z['FAMI_ESTRATOVIVIENDA'] = z['FAMI_ESTRATOVIVIENDA'].replace(estrato_mapping)"
      ],
      "metadata": {
        "id": "19BzT89MbSj0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de los NaN: Distribución de probabilidad"
      ],
      "metadata": {
        "id": "7o79T1No11sl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Paso 1: Reemplazar \"Sin Estrato\" con NaN\n",
        "z['FAMI_ESTRATOVIVIENDA'] = z['FAMI_ESTRATOVIVIENDA'].replace('Sin Estrato', np.nan)\n",
        "\n",
        "# Paso 2: Rellenar los NaN aleatoriamente usando una distribución de probabilidad\n",
        "# Obtener los valores sin NaN\n",
        "non_nan_values = z['FAMI_ESTRATOVIVIENDA'].dropna()\n",
        "\n",
        "# Probabilidades según la frecuencia de aparición\n",
        "probabilities = non_nan_values.value_counts(normalize=True)\n",
        "\n",
        "# Función para rellenar los NaN aleatoriamente\n",
        "def fill_random(val):\n",
        "    if pd.isna(val):\n",
        "        return np.random.choice(probabilities.index, p=probabilities.values)\n",
        "    return val\n",
        "\n",
        "# Aplicar la función para rellenar los NaN\n",
        "z['FAMI_ESTRATOVIVIENDA'] = z['FAMI_ESTRATOVIVIENDA'].apply(fill_random)"
      ],
      "metadata": {
        "id": "4kZFuRuKaNuc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 325
        },
        "id": "mxQ2RcwTasqi",
        "outputId": "f89bbeee-e936-488c-d440-bfacfd8b42f6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID  ESTU_VALORMATRICULAUNIVERSIDAD  ESTU_HORASSEMANATRABAJA  \\\n",
              "0  904256                             6.0                      1.0   \n",
              "1  645256                             4.0                      0.0   \n",
              "2  308367                             4.0                      4.0   \n",
              "3  470353                             5.0                      0.0   \n",
              "4  989032                             4.0                      3.0   \n",
              "\n",
              "   FAMI_ESTRATOVIVIENDA FAMI_TIENEINTERNET  \\\n",
              "0                   3.0                 Si   \n",
              "1                   3.0                 No   \n",
              "2                   3.0                 Si   \n",
              "3                   4.0                 Si   \n",
              "4                   3.0                 Si   \n",
              "\n",
              "                  FAMI_EDUCACIONPADRE                 FAMI_EDUCACIONMADRE  \\\n",
              "0    Técnica o tecnológica incompleta                           Postgrado   \n",
              "1      Técnica o tecnológica completa    Técnica o tecnológica incompleta   \n",
              "2  Secundaria (Bachillerato) completa  Secundaria (Bachillerato) completa   \n",
              "3                             No sabe  Secundaria (Bachillerato) completa   \n",
              "4                   Primaria completa                   Primaria completa   \n",
              "\n",
              "  ESTU_PAGOMATRICULAPROPIO RENDIMIENTO_GLOBAL  PRGA_acuicultura  ...  \\\n",
              "0                       No         medio-alto             False  ...   \n",
              "1                       No               bajo             False  ...   \n",
              "2                       No               bajo             False  ...   \n",
              "3                       No               alto             False  ...   \n",
              "4                       No         medio-bajo             False  ...   \n",
              "\n",
              "   DEP_NORTE_SANTANDER  DEP_PUTUMAYO  DEP_QUINDIO  DEP_RISARALDA  \\\n",
              "0                False         False        False          False   \n",
              "1                False         False        False          False   \n",
              "2                False         False        False          False   \n",
              "3                False         False        False          False   \n",
              "4                False         False        False          False   \n",
              "\n",
              "   DEP_SANTANDER  DEP_SAN_ANDRES  DEP_SUCRE  DEP_TOLIMA  DEP_VALLE  DEP_VAUPES  \n",
              "0          False           False      False       False      False       False  \n",
              "1          False           False      False       False      False       False  \n",
              "2          False           False      False       False      False       False  \n",
              "3           True           False      False       False      False       False  \n",
              "4          False           False      False       False      False       False  \n",
              "\n",
              "[5 rows x 166 columns]"
            ],
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>645256</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
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              "      <td>Técnica o tecnológica completa</td>\n",
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              "      <td>No</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>308367</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Si</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>470353</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>Si</td>\n",
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              "      <td>No</td>\n",
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              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
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              "      <td>Primaria completa</td>\n",
              "      <td>Primaria completa</td>\n",
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              "      <td>medio-bajo</td>\n",
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              "      <td>False</td>\n",
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              "<p>5 rows × 166 columns</p>\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
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              "      padding: 0 0 0 0;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
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              "\n",
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              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
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              "        document.querySelector('#df-1c6139e6-7667-4969-a440-03e0816829bb button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-1c6139e6-7667-4969-a440-03e0816829bb');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-49d4420d-bcea-4e50-ba22-86482d68deb3\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-49d4420d-bcea-4e50-ba22-86482d68deb3')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-49d4420d-bcea-4e50-ba22-86482d68deb3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Con el hecho de tener internet o no"
      ],
      "metadata": {
        "id": "0kp1gMKRbK1o"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Para la columna:\n",
        "\n",
        "* Valores cualitavos(Etiquetas) nominales\n",
        "* Valores cualitavos ordinales\n",
        "  * \"No\":0, \"Si\":1\n",
        "\n",
        "Los NA:\n",
        "\n",
        "* Eliminarlos\n",
        "* Ponerle un valor un aleatorio entre si y no.\n",
        "* Moda\n",
        "* Hacer imputacion con inferencia de otras columnas\n",
        "  * Ejemplo: Si es estrato 3 para arriba \"sí\", sino \"no\"."
      ],
      "metadata": {
        "id": "uSvCwdsSxiaS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_TIENEINTERNET.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AzgJSedJxMe-",
        "outputId": "8dd04a1c-a4c6-403e-ce82-5bd3bcb89a98"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Si', 'No', nan], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_TIENEINTERNET.isna().sum(),z.FAMI_TIENEINTERNET.isna().sum()/z.shape[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-PSpd5y3xa_4",
        "outputId": "ea46dd38-7ace-4b0e-adbc-551b1b7dbdc9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(24931, 0.03633128489259166)"
            ]
          },
          "metadata": {},
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(z.FAMI_TIENEINTERNET[z.FAMI_TIENEINTERNET == \"Si\"]), len(z.FAMI_TIENEINTERNET[z.FAMI_TIENEINTERNET == \"No\"])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "exT2YEaL40oe",
        "outputId": "be427336-e8ae-4d14-fdcc-ab9a831f6cb6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(588221, 73061)"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de la columna: Variable ordinal"
      ],
      "metadata": {
        "id": "vDIlohMW2abf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Defino el orden para los valores ordinales\n",
        "tiene_internet_mapping = {\n",
        "        'No': 0,\n",
        "        'Si': 1\n",
        "    }\n",
        "\n",
        "# Convierto la columna en tipo categórico ordinal\n",
        "z.FAMI_TIENEINTERNET = z.FAMI_TIENEINTERNET.replace(tiene_internet_mapping)\n",
        "z.FAMI_TIENEINTERNET.value_counts()\n",
        "\n",
        "# Verifico los cambios\n",
        "print(z['FAMI_TIENEINTERNET'].value_counts())\n",
        "z.FAMI_TIENEINTERNET.unique()"
      ],
      "metadata": {
        "id": "BMGjQDc9mE2s",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "faad1aea-2f70-448d-f52f-e5907df7d666"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "FAMI_TIENEINTERNET\n",
            "1.0    588221\n",
            "0.0     73061\n",
            "Name: count, dtype: int64\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 1.,  0., nan])"
            ]
          },
          "metadata": {},
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de los NaN: Eliminación\n"
      ],
      "metadata": {
        "id": "HpohBpNY2lWz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.dropna(subset=['FAMI_TIENEINTERNET'], inplace=True)"
      ],
      "metadata": {
        "id": "XfZH4IDtmAAx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_TIENEINTERNET"
      ],
      "metadata": {
        "id": "JZMGV8BUm1Uh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "outputId": "22c12e8b-77b5-4b7d-8ad0-057a4649a059"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         1.0\n",
              "1         0.0\n",
              "2         1.0\n",
              "3         1.0\n",
              "4         1.0\n",
              "         ... \n",
              "692495    1.0\n",
              "692496    1.0\n",
              "692497    1.0\n",
              "692498    0.0\n",
              "692499    1.0\n",
              "Name: FAMI_TIENEINTERNET, Length: 661282, dtype: float64"
            ],
            "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>FAMI_TIENEINTERNET</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>692495</th>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>692496</th>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>692497</th>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>692498</th>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>692499</th>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>661282 rows × 1 columns</p>\n",
              "</div><br><label><b>dtype:</b> float64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Educación padre"
      ],
      "metadata": {
        "id": "UQAxOaxglC-Y"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "Para la columna:\n",
        "\n",
        "* Redución de etiquetas y nueva enumeración\n",
        "    * nan, No sabe y No Aplica juntos\n",
        "    * Separar entre los que se graduaron del colegio y no\n",
        "    * Todo lo completado en una  y lo otro en otra.\n",
        "    * Primaria, segundria, Tecnologica o tecnica, pregrado, postgrado\n",
        "    * Combinación con otras columnas.\n",
        "    * (Otra)\n",
        "\n",
        "* Valores cualitavos(Etiquetas) nominales\n",
        "  * Separar entre los que se graduaron del colegio y no\n",
        "* Valores cualitavos ordinales\n",
        "  * 'Ninguno':0, ...\n",
        "  \n",
        "\n",
        "Nota: Se pueden combinar ambas\n",
        "\n",
        "Los NA:\n",
        "\n",
        "* Eliminarlos\n",
        "* Ponerle un clase aleatoria entre las clases\n",
        "* Moda\n",
        "* Hacer imputacion con inferencia de otras columnas\n",
        "* Agruparlos con \"No sabe\" o \"No Aplica\" o al reves.\n",
        "\n",
        "Nota: Podria ser mas util juntar `No Aplica` con `Ninguno`? Pues, a diferencia de `No sabe` y `No aplica`, este indica el conocimiento del nivel de educacion de la madre pero se considero que no era suficiente para colocar alguna opcion, por lo que esta podria clasificar mejor en `Ninguno`.\n",
        "\n",
        "Decisiones: Combinar \"No sabe\", \"No aplica\" y nan. Reducir a graduados y no graduados y tratar los nan con inferencia o aleatoriedad.\n"
      ],
      "metadata": {
        "id": "jcDfIhhbzEHe"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_EDUCACIONPADRE.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7tXQoRuylFhB",
        "outputId": "fad9c4dd-1fda-4398-e0ac-f61f32631068"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Técnica o tecnológica incompleta',\n",
              "       'Técnica o tecnológica completa',\n",
              "       'Secundaria (Bachillerato) completa', 'No sabe',\n",
              "       'Primaria completa', 'Educación profesional completa',\n",
              "       'Educación profesional incompleta', 'Primaria incompleta',\n",
              "       'Postgrado', 'Secundaria (Bachillerato) incompleta', 'Ninguno',\n",
              "       'No Aplica', nan], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_EDUCACIONPADRE.isna().sum(),z.FAMI_EDUCACIONPADRE.isna().sum()/z.shape[0]\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aOV-oXL1y1da",
        "outputId": "238b203e-c8b9-49a0-a8e1-094a3880a908"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2039, 0.0030834046594342504)"
            ]
          },
          "metadata": {},
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_EDUCACIONPADRE.isna().sum()+z[z.FAMI_EDUCACIONPADRE == \"No sabe\"].shape[0]+z[z.FAMI_EDUCACIONPADRE == \"No Aplica\"].shape[0], (z.FAMI_EDUCACIONPADRE.isna().sum()+z[z.FAMI_EDUCACIONPADRE == \"No Aplica\"].shape[0]+z[z.FAMI_EDUCACIONPADRE == \"No sabe\"].shape[0])/z.shape[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5pd0WuxgBVmh",
        "outputId": "7d4efeff-bc75-4504-8d13-5f64ba9601ed"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(27509, 0.04159949915467229)"
            ]
          },
          "metadata": {},
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de la columna: Variable ordinal"
      ],
      "metadata": {
        "id": "00KR-goWdTMh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 325
        },
        "id": "MmUNsVJwdqoj",
        "outputId": "fbd14299-a463-453a-e1f4-dd4f6e9c0f49"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID  ESTU_VALORMATRICULAUNIVERSIDAD  ESTU_HORASSEMANATRABAJA  \\\n",
              "0  904256                             6.0                      1.0   \n",
              "1  645256                             4.0                      0.0   \n",
              "2  308367                             4.0                      4.0   \n",
              "3  470353                             5.0                      0.0   \n",
              "4  989032                             4.0                      3.0   \n",
              "\n",
              "   FAMI_ESTRATOVIVIENDA  FAMI_TIENEINTERNET  \\\n",
              "0                   3.0                 1.0   \n",
              "1                   3.0                 0.0   \n",
              "2                   3.0                 1.0   \n",
              "3                   4.0                 1.0   \n",
              "4                   3.0                 1.0   \n",
              "\n",
              "                  FAMI_EDUCACIONPADRE                 FAMI_EDUCACIONMADRE  \\\n",
              "0    Técnica o tecnológica incompleta                           Postgrado   \n",
              "1      Técnica o tecnológica completa    Técnica o tecnológica incompleta   \n",
              "2  Secundaria (Bachillerato) completa  Secundaria (Bachillerato) completa   \n",
              "3                             No sabe  Secundaria (Bachillerato) completa   \n",
              "4                   Primaria completa                   Primaria completa   \n",
              "\n",
              "  ESTU_PAGOMATRICULAPROPIO RENDIMIENTO_GLOBAL  PRGA_acuicultura  ...  \\\n",
              "0                       No         medio-alto             False  ...   \n",
              "1                       No               bajo             False  ...   \n",
              "2                       No               bajo             False  ...   \n",
              "3                       No               alto             False  ...   \n",
              "4                       No         medio-bajo             False  ...   \n",
              "\n",
              "   DEP_NORTE_SANTANDER  DEP_PUTUMAYO  DEP_QUINDIO  DEP_RISARALDA  \\\n",
              "0                False         False        False          False   \n",
              "1                False         False        False          False   \n",
              "2                False         False        False          False   \n",
              "3                False         False        False          False   \n",
              "4                False         False        False          False   \n",
              "\n",
              "   DEP_SANTANDER  DEP_SAN_ANDRES  DEP_SUCRE  DEP_TOLIMA  DEP_VALLE  DEP_VAUPES  \n",
              "0          False           False      False       False      False       False  \n",
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              "2          False           False      False       False      False       False  \n",
              "3           True           False      False       False      False       False  \n",
              "4          False           False      False       False      False       False  \n",
              "\n",
              "[5 rows x 166 columns]"
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>308367</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
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              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
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              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>470353</td>\n",
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              "      <td>4.0</td>\n",
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              "      <td>No</td>\n",
              "      <td>alto</td>\n",
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              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
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              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>989032</td>\n",
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              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Primaria completa</td>\n",
              "      <td>Primaria completa</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "<p>5 rows × 166 columns</p>\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Paso 1: Reemplazar \"No sabe\" y \"No Aplica\" con NaN\n",
        "z['FAMI_EDUCACIONPADRE'] = z['FAMI_EDUCACIONPADRE'].replace(['No sabe', 'No Aplica'], np.nan)\n",
        "\n",
        "# Paso 2: Reducir a \"Graduados\" (1) y \"No graduados\" (0)\n",
        "# Crear un diccionario para el mapeo de las categorías\n",
        "educacion_graduados_mapping = {\n",
        "    'Ninguno': 0,\n",
        "    'Primaria incompleta': 0,\n",
        "    'Primaria completa': 0,\n",
        "    'Secundaria (Bachillerato) incompleta': 0,\n",
        "    'Secundaria (Bachillerato) completa': 1,\n",
        "    'Técnica o tecnológica incompleta': 1,\n",
        "    'Técnica o tecnológica completa': 1,\n",
        "    'Educación profesional incompleta': 1,\n",
        "    'Educación profesional completa': 1,\n",
        "    'Postgrado': 1\n",
        "}\n",
        "\n",
        "# Aplicar el mapeo\n",
        "z['FAMI_EDUCACIONPADRE'] = z['FAMI_EDUCACIONPADRE'].replace(educacion_graduados_mapping)"
      ],
      "metadata": {
        "id": "mR97-g6BdWYI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de los NaN: Distribución de probabilidad"
      ],
      "metadata": {
        "id": "UH0UP-963iqo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Paso 3: Rellenar los NaN de forma aleatoria basada en la distribución de \"Graduados\" (1) y \"No graduados\" (0)\n",
        "# Obtener los valores sin NaN\n",
        "non_nan_values = z['FAMI_EDUCACIONPADRE'].dropna()\n",
        "\n",
        "# Calcular las probabilidades de \"Graduados\" y \"No graduados\"\n",
        "probabilities = non_nan_values.value_counts(normalize=True)\n",
        "\n",
        "# Función para rellenar los NaN aleatoriamente\n",
        "def fill_nan_random(val):\n",
        "    if pd.isna(val):\n",
        "        return np.random.choice(probabilities.index, p=probabilities.values)\n",
        "    return val\n",
        "\n",
        "# Aplicar la función para rellenar los NaN\n",
        "z['FAMI_EDUCACIONPADRE'] = z['FAMI_EDUCACIONPADRE'].apply(fill_nan_random)"
      ],
      "metadata": {
        "id": "2mi1insb3jgZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "id": "C0iSh-wcdvRM",
        "outputId": "c8db07bb-3dee-4abd-ecea-678a9d017fa7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID  ESTU_VALORMATRICULAUNIVERSIDAD  ESTU_HORASSEMANATRABAJA  \\\n",
              "0  904256                             6.0                      1.0   \n",
              "1  645256                             4.0                      0.0   \n",
              "2  308367                             4.0                      4.0   \n",
              "3  470353                             5.0                      0.0   \n",
              "4  989032                             4.0                      3.0   \n",
              "\n",
              "   FAMI_ESTRATOVIVIENDA  FAMI_TIENEINTERNET  FAMI_EDUCACIONPADRE  \\\n",
              "0                   3.0                 1.0                  1.0   \n",
              "1                   3.0                 0.0                  1.0   \n",
              "2                   3.0                 1.0                  1.0   \n",
              "3                   4.0                 1.0                  0.0   \n",
              "4                   3.0                 1.0                  0.0   \n",
              "\n",
              "                  FAMI_EDUCACIONMADRE ESTU_PAGOMATRICULAPROPIO  \\\n",
              "0                           Postgrado                       No   \n",
              "1    Técnica o tecnológica incompleta                       No   \n",
              "2  Secundaria (Bachillerato) completa                       No   \n",
              "3  Secundaria (Bachillerato) completa                       No   \n",
              "4                   Primaria completa                       No   \n",
              "\n",
              "  RENDIMIENTO_GLOBAL  PRGA_acuicultura  ...  DEP_NORTE_SANTANDER  \\\n",
              "0         medio-alto             False  ...                False   \n",
              "1               bajo             False  ...                False   \n",
              "2               bajo             False  ...                False   \n",
              "3               alto             False  ...                False   \n",
              "4         medio-bajo             False  ...                False   \n",
              "\n",
              "   DEP_PUTUMAYO  DEP_QUINDIO  DEP_RISARALDA  DEP_SANTANDER  DEP_SAN_ANDRES  \\\n",
              "0         False        False          False          False           False   \n",
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              "3         False        False          False           True           False   \n",
              "4         False        False          False          False           False   \n",
              "\n",
              "   DEP_SUCRE  DEP_TOLIMA  DEP_VALLE  DEP_VAUPES  \n",
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              "2      False       False      False       False  \n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
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              "      <td>989032</td>\n",
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              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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    {
      "cell_type": "markdown",
      "source": [
        "## Educación madre"
      ],
      "metadata": {
        "id": "KPLJ1m3jlFzI"
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    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "Para la columna:\n",
        "\n",
        "* Redución de etiquetas y nueva enumeración\n",
        "    * nan, No sabe y No Aplica juntos\n",
        "    * Separar entre los que se graduaron del colegio y no\n",
        "    * Todo lo completado en una  y lo otro en otra.\n",
        "    * Primaria, segundria, Tecnologica o tecnica, pregrado, postgrado\n",
        "    * Combinación con otras columnas.\n",
        "    * (Otra)\n",
        "\n",
        "* Valores cualitavos(Etiquetas) nominales\n",
        "  * Separar entre los que se graduaron del colegio y no\n",
        "* Valores cualitavos ordinales\n",
        "  * 'Ninguno':0, ...\n",
        "  \n",
        "\n",
        "Nota: Se pueden combinar ambas\n",
        "\n",
        "Los NA:\n",
        "\n",
        "* Eliminarlos\n",
        "* Ponerle un clase aleatoria entre las clases\n",
        "* Moda\n",
        "* Hacer imputacion con inferencia de otras columnas\n",
        "* Agruparlos con \"No sabe\" o \"No Aplica\" o al reves.\n",
        "\n",
        "Nota: Podria ser mas util juntar `No Aplica` con `Ninguno`? Pues, a diferencia de `No sabe` y `No aplica`, este indica el conocimiento del nivel de educacion de la madre pero se considero que no era suficiente para colocar alguna opcion, por lo que esta podria clasificar mejor en `Ninguno`.\n",
        "\n",
        "Decisiones: Combinar \"No sabe\", \"No aplica\" y nan. Reducir a graduados y no graduados y tratar los nan con inferencia o aleatoriedad.\n"
      ],
      "metadata": {
        "id": "z0asdZtUehIY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_EDUCACIONMADRE.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "17cbb12b-4d91-4be0-f1ad-5b3076ed2de3",
        "id": "xGI2btmLehIX"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Postgrado', 'Técnica o tecnológica incompleta',\n",
              "       'Secundaria (Bachillerato) completa', 'Primaria completa',\n",
              "       'Técnica o tecnológica completa',\n",
              "       'Secundaria (Bachillerato) incompleta',\n",
              "       'Educación profesional incompleta',\n",
              "       'Educación profesional completa', 'Primaria incompleta', 'Ninguno',\n",
              "       'No Aplica', nan, 'No sabe'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_EDUCACIONMADRE.isna().sum(),z.FAMI_EDUCACIONMADRE.isna().sum()/z.shape[0]\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bf5415f5-62de-4a85-839b-7e8c49188d6c",
        "id": "IlHQ46wrehIX"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1811, 0.0027386198323861833)"
            ]
          },
          "metadata": {},
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.FAMI_EDUCACIONMADRE.isna().sum()+z[z.FAMI_EDUCACIONMADRE == \"No sabe\"].shape[0]+z[z.FAMI_EDUCACIONMADRE == \"No Aplica\"].shape[0], (z.FAMI_EDUCACIONMADRE.isna().sum()+z[z.FAMI_EDUCACIONMADRE == \"No Aplica\"].shape[0]+z[z.FAMI_EDUCACIONMADRE == \"No sabe\"].shape[0])/z.shape[0]"
      ],
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        "colab": {
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        "outputId": "09f65bee-b09a-488b-98c3-c6ab44c75cc0",
        "id": "Kr5CuMe2ehIY"
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      "execution_count": null,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "(6645, 0.010048663051466697)"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
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      "source": [
        "z.head()"
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          "base_uri": "https://localhost:8080/",
          "height": 308
        },
        "outputId": "ee4dc891-06d0-41b6-bb65-6cc5e6f8df5b",
        "id": "g8NekOx0ehIZ"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID  ESTU_VALORMATRICULAUNIVERSIDAD  ESTU_HORASSEMANATRABAJA  \\\n",
              "0  904256                             6.0                      1.0   \n",
              "1  645256                             4.0                      0.0   \n",
              "2  308367                             4.0                      4.0   \n",
              "3  470353                             5.0                      0.0   \n",
              "4  989032                             4.0                      3.0   \n",
              "\n",
              "   FAMI_ESTRATOVIVIENDA  FAMI_TIENEINTERNET  FAMI_EDUCACIONPADRE  \\\n",
              "0                   3.0                 1.0                  1.0   \n",
              "1                   3.0                 0.0                  1.0   \n",
              "2                   3.0                 1.0                  1.0   \n",
              "3                   4.0                 1.0                  0.0   \n",
              "4                   3.0                 1.0                  0.0   \n",
              "\n",
              "                  FAMI_EDUCACIONMADRE ESTU_PAGOMATRICULAPROPIO  \\\n",
              "0                           Postgrado                       No   \n",
              "1    Técnica o tecnológica incompleta                       No   \n",
              "2  Secundaria (Bachillerato) completa                       No   \n",
              "3  Secundaria (Bachillerato) completa                       No   \n",
              "4                   Primaria completa                       No   \n",
              "\n",
              "  RENDIMIENTO_GLOBAL  PRGA_acuicultura  ...  DEP_NORTE_SANTANDER  \\\n",
              "0         medio-alto             False  ...                False   \n",
              "1               bajo             False  ...                False   \n",
              "2               bajo             False  ...                False   \n",
              "3               alto             False  ...                False   \n",
              "4         medio-bajo             False  ...                False   \n",
              "\n",
              "   DEP_PUTUMAYO  DEP_QUINDIO  DEP_RISARALDA  DEP_SANTANDER  DEP_SAN_ANDRES  \\\n",
              "0         False        False          False          False           False   \n",
              "1         False        False          False          False           False   \n",
              "2         False        False          False          False           False   \n",
              "3         False        False          False           True           False   \n",
              "4         False        False          False          False           False   \n",
              "\n",
              "   DEP_SUCRE  DEP_TOLIMA  DEP_VALLE  DEP_VAUPES  \n",
              "0      False       False      False       False  \n",
              "1      False       False      False       False  \n",
              "2      False       False      False       False  \n",
              "3      False       False      False       False  \n",
              "4      False       False      False       False  \n",
              "\n",
              "[5 rows x 166 columns]"
            ],
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              "      <th>ID</th>\n",
              "      <th>ESTU_VALORMATRICULAUNIVERSIDAD</th>\n",
              "      <th>ESTU_HORASSEMANATRABAJA</th>\n",
              "      <th>FAMI_ESTRATOVIVIENDA</th>\n",
              "      <th>FAMI_TIENEINTERNET</th>\n",
              "      <th>FAMI_EDUCACIONPADRE</th>\n",
              "      <th>FAMI_EDUCACIONMADRE</th>\n",
              "      <th>ESTU_PAGOMATRICULAPROPIO</th>\n",
              "      <th>RENDIMIENTO_GLOBAL</th>\n",
              "      <th>PRGA_acuicultura</th>\n",
              "      <th>...</th>\n",
              "      <th>DEP_NORTE_SANTANDER</th>\n",
              "      <th>DEP_PUTUMAYO</th>\n",
              "      <th>DEP_QUINDIO</th>\n",
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              "      <th>DEP_SANTANDER</th>\n",
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              "      <th>0</th>\n",
              "      <td>904256</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Postgrado</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-alto</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>645256</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Técnica o tecnológica incompleta</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>308367</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>470353</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Secundaria (Bachillerato) completa</td>\n",
              "      <td>No</td>\n",
              "      <td>alto</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>989032</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Primaria completa</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 166 columns</p>\n",
              "</div>\n",
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              "\n",
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              "\n",
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              "  </style>\n",
              "\n",
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              "        document.querySelector('#df-6c160abf-0c8d-44d2-8d87-ab2ea0f139a6 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-6c160abf-0c8d-44d2-8d87-ab2ea0f139a6');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
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              "        element.appendChild(docLink);\n",
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              "\n",
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              "      --hover-bg-color: #E2EBFA;\n",
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              "  }\n",
              "\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d5f8d039-3622-49d6-bdc1-dad12e0ebdcf button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
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              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 78
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de la columna: Variable ordinal"
      ],
      "metadata": {
        "id": "zI6G7vx1ehIY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Paso 1: Reemplazar \"No sabe\" y \"No Aplica\" con NaN\n",
        "z['FAMI_EDUCACIONMADRE'] = z['FAMI_EDUCACIONMADRE'].replace(['No sabe', 'No Aplica'], np.nan)\n",
        "\n",
        "# Paso 2: Reducir a \"Graduados\" (1) y \"No graduados\" (0)\n",
        "# Crear un diccionario para el mapeo de las categorías\n",
        "educacion_graduados_mapping = {\n",
        "    'Ninguno': 0,\n",
        "    'Primaria incompleta': 0,\n",
        "    'Primaria completa': 0,\n",
        "    'Secundaria (Bachillerato) incompleta': 0,\n",
        "    'Secundaria (Bachillerato) completa': 1,\n",
        "    'Técnica o tecnológica incompleta': 1,\n",
        "    'Técnica o tecnológica completa': 1,\n",
        "    'Educación profesional incompleta': 1,\n",
        "    'Educación profesional completa': 1,\n",
        "    'Postgrado': 1\n",
        "}\n",
        "\n",
        "# Aplicar el mapeo\n",
        "z['FAMI_EDUCACIONMADRE'] = z['FAMI_EDUCACIONMADRE'].replace(educacion_graduados_mapping)"
      ],
      "metadata": {
        "id": "AnIFwAGoehIZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de los NaN: Distribución de probabilidad"
      ],
      "metadata": {
        "id": "WRfbKzCh37nk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Paso 3: Rellenar los NaN de forma aleatoria basada en la distribución de \"Graduados\" (1) y \"No graduados\" (0)\n",
        "# Obtener los valores sin NaN\n",
        "non_nan_values = z['FAMI_EDUCACIONMADRE'].dropna()\n",
        "\n",
        "# Calcular las probabilidades de \"Graduados\" y \"No graduados\"\n",
        "probabilities = non_nan_values.value_counts(normalize=True)\n",
        "\n",
        "# Función para rellenar los NaN aleatoriamente\n",
        "def fill_nan_random(val):\n",
        "    if pd.isna(val):\n",
        "        return np.random.choice(probabilities.index, p=probabilities.values)\n",
        "    return val\n",
        "\n",
        "# Aplicar la función para rellenar los NaN\n",
        "z['FAMI_EDUCACIONMADRE'] = z['FAMI_EDUCACIONMADRE'].apply(fill_nan_random)"
      ],
      "metadata": {
        "id": "k9pxn-og3-aM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "outputId": "2db4eb93-825d-4432-b027-140e0f07bab7",
        "id": "7L6cM3AKehIZ"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID  ESTU_VALORMATRICULAUNIVERSIDAD  ESTU_HORASSEMANATRABAJA  \\\n",
              "0  904256                             6.0                      1.0   \n",
              "1  645256                             4.0                      0.0   \n",
              "2  308367                             4.0                      4.0   \n",
              "3  470353                             5.0                      0.0   \n",
              "4  989032                             4.0                      3.0   \n",
              "\n",
              "   FAMI_ESTRATOVIVIENDA  FAMI_TIENEINTERNET  FAMI_EDUCACIONPADRE  \\\n",
              "0                   3.0                 1.0                  1.0   \n",
              "1                   3.0                 0.0                  1.0   \n",
              "2                   3.0                 1.0                  1.0   \n",
              "3                   4.0                 1.0                  0.0   \n",
              "4                   3.0                 1.0                  0.0   \n",
              "\n",
              "   FAMI_EDUCACIONMADRE ESTU_PAGOMATRICULAPROPIO RENDIMIENTO_GLOBAL  \\\n",
              "0                  1.0                       No         medio-alto   \n",
              "1                  1.0                       No               bajo   \n",
              "2                  1.0                       No               bajo   \n",
              "3                  1.0                       No               alto   \n",
              "4                  0.0                       No         medio-bajo   \n",
              "\n",
              "   PRGA_acuicultura  ...  DEP_NORTE_SANTANDER  DEP_PUTUMAYO  DEP_QUINDIO  \\\n",
              "0             False  ...                False         False        False   \n",
              "1             False  ...                False         False        False   \n",
              "2             False  ...                False         False        False   \n",
              "3             False  ...                False         False        False   \n",
              "4             False  ...                False         False        False   \n",
              "\n",
              "   DEP_RISARALDA  DEP_SANTANDER  DEP_SAN_ANDRES  DEP_SUCRE  DEP_TOLIMA  \\\n",
              "0          False          False           False      False       False   \n",
              "1          False          False           False      False       False   \n",
              "2          False          False           False      False       False   \n",
              "3          False           True           False      False       False   \n",
              "4          False          False           False      False       False   \n",
              "\n",
              "   DEP_VALLE  DEP_VAUPES  \n",
              "0      False       False  \n",
              "1      False       False  \n",
              "2      False       False  \n",
              "3      False       False  \n",
              "4      False       False  \n",
              "\n",
              "[5 rows x 166 columns]"
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              "      <th>ID</th>\n",
              "      <th>ESTU_VALORMATRICULAUNIVERSIDAD</th>\n",
              "      <th>ESTU_HORASSEMANATRABAJA</th>\n",
              "      <th>FAMI_ESTRATOVIVIENDA</th>\n",
              "      <th>FAMI_TIENEINTERNET</th>\n",
              "      <th>FAMI_EDUCACIONPADRE</th>\n",
              "      <th>FAMI_EDUCACIONMADRE</th>\n",
              "      <th>ESTU_PAGOMATRICULAPROPIO</th>\n",
              "      <th>RENDIMIENTO_GLOBAL</th>\n",
              "      <th>PRGA_acuicultura</th>\n",
              "      <th>...</th>\n",
              "      <th>DEP_NORTE_SANTANDER</th>\n",
              "      <th>DEP_PUTUMAYO</th>\n",
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              "      <th>DEP_SAN_ANDRES</th>\n",
              "      <th>DEP_SUCRE</th>\n",
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              "      <th>0</th>\n",
              "      <td>904256</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-alto</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>645256</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>308367</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>470353</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>No</td>\n",
              "      <td>alto</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>989032</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>No</td>\n",
              "      <td>medio-bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 166 columns</p>\n",
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              "        document.querySelector('#df-a2787253-4d58-46e6-8bc0-80f8df3a5a51 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "\n",
              "  @keyframes spin {\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Pago su propia matricula"
      ],
      "metadata": {
        "id": "SvKWRL2dmyfm"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Para la columna:\n",
        "\n",
        "* Valores cualitavos(Etiquetas) nominales\n",
        "* Valores cualitavos ordinales\n",
        "  * \"No\":0, \"Si\":1\n",
        "\n",
        "Los NA:\n",
        "\n",
        "* Eliminarlos\n",
        "* Ponerle un valor un aleatorio entre si y no.\n",
        "* Moda\n",
        "* Hacer imputacion con inferencia de otras columnas\n",
        "  * Ejemplo: Si trabaja mas de 10 para arriba \"sí\", sino \"no\".\n",
        "\n",
        "Nota: Se podria hacer cuantitativa combinando con la columna valor matricula.\n",
        "\n",
        "Decisión: Valores cualitativos y eliminar los nan.\n",
        "\n",
        "Nota: Es posible que se haya intentado ingresar un numero en vez de una de las opciones? Pues el nan aparece en estas situaciones que se emplea un numero para realizar operaciones pero el formato fue erroneo o no tenia sentido, por lo que podria haber sido un intento de ingresar el valor pagado?"
      ],
      "metadata": {
        "id": "rJYmy8qp3IYf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.ESTU_PAGOMATRICULAPROPIO.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aVQM9CQ3n0XZ",
        "outputId": "ba32c9fd-3548-4b9c-c00e-01ed9db3d28b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['No', 'Si', nan], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.ESTU_PAGOMATRICULAPROPIO.isna().sum(),z.ESTU_PAGOMATRICULAPROPIO.isna().sum()/z.shape[0]\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ThyawoTC3RIA",
        "outputId": "186c8a1b-d838-4d8c-8eab-31df9d757839"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(202, 0.0003054672590513578)"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.ESTU_PAGOMATRICULAPROPIO.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 178
        },
        "id": "hmEkChiOGlqq",
        "outputId": "cbe864db-2318-42e4-f97b-041bb85dd28b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ESTU_PAGOMATRICULAPROPIO\n",
              "No    368447\n",
              "Si    292633\n",
              "Name: count, dtype: int64"
            ],
            "text/html": [
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              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ESTU_PAGOMATRICULAPROPIO</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>No</th>\n",
              "      <td>368447</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Si</th>\n",
              "      <td>292633</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Tratamiento de los NaN: Eliminación"
      ],
      "metadata": {
        "id": "Afd-nS8f4wY9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.dropna(subset=['ESTU_PAGOMATRICULAPROPIO'], inplace=True)\n",
        "(z.shape[0], z.ESTU_PAGOMATRICULAPROPIO.isna().sum(), z.ESTU_PAGOMATRICULAPROPIO.isna().sum()/z.shape[0])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y8rPOYB9ZICz",
        "outputId": "36cd43eb-7dbe-40cf-80c8-828b21b663f4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(661080, 0, 0.0)"
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Tratamiento de la columna: Variable nominal"
      ],
      "metadata": {
        "id": "YY7M1ZbUMcR8"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### OneHot"
      ],
      "metadata": {
        "id": "JqOKCHLf5HaD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_onehot = pd.get_dummies(z['ESTU_PAGOMATRICULAPROPIO'], prefix='PAGOMATRICULAPROPIO')\n",
        "z = pd.concat([z, df_onehot], axis=1)"
      ],
      "metadata": {
        "id": "Z7NgIFLWZhqX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "id": "YdPkMazdZ2dN",
        "outputId": "55ec1380-6958-4031-cbb1-984e7a811a53"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID  ESTU_VALORMATRICULAUNIVERSIDAD  ESTU_HORASSEMANATRABAJA  \\\n",
              "0  904256                             6.0                      1.0   \n",
              "1  645256                             4.0                      0.0   \n",
              "2  308367                             4.0                      4.0   \n",
              "3  470353                             5.0                      0.0   \n",
              "4  989032                             4.0                      3.0   \n",
              "\n",
              "   FAMI_ESTRATOVIVIENDA  FAMI_TIENEINTERNET  FAMI_EDUCACIONPADRE  \\\n",
              "0                   3.0                 1.0                  1.0   \n",
              "1                   3.0                 0.0                  1.0   \n",
              "2                   3.0                 1.0                  1.0   \n",
              "3                   4.0                 1.0                  0.0   \n",
              "4                   3.0                 1.0                  0.0   \n",
              "\n",
              "   FAMI_EDUCACIONMADRE ESTU_PAGOMATRICULAPROPIO RENDIMIENTO_GLOBAL  \\\n",
              "0                  1.0                       No         medio-alto   \n",
              "1                  1.0                       No               bajo   \n",
              "2                  1.0                       No               bajo   \n",
              "3                  1.0                       No               alto   \n",
              "4                  0.0                       No         medio-bajo   \n",
              "\n",
              "   PRGA_acuicultura  ...  DEP_QUINDIO  DEP_RISARALDA  DEP_SANTANDER  \\\n",
              "0             False  ...        False          False          False   \n",
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              "3             False  ...        False          False           True   \n",
              "4             False  ...        False          False          False   \n",
              "\n",
              "   DEP_SAN_ANDRES  DEP_SUCRE  DEP_TOLIMA  DEP_VALLE  DEP_VAUPES  \\\n",
              "0           False      False       False      False       False   \n",
              "1           False      False       False      False       False   \n",
              "2           False      False       False      False       False   \n",
              "3           False      False       False      False       False   \n",
              "4           False      False       False      False       False   \n",
              "\n",
              "   PAGOMATRICULAPROPIO_No  PAGOMATRICULAPROPIO_Si  \n",
              "0                    True                   False  \n",
              "1                    True                   False  \n",
              "2                    True                   False  \n",
              "3                    True                   False  \n",
              "4                    True                   False  \n",
              "\n",
              "[5 rows x 168 columns]"
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              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>No</td>\n",
              "      <td>bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.drop(columns=['ESTU_PAGOMATRICULAPROPIO'], inplace=True)\n",
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "id": "4p_1JVzpZ7Z7",
        "outputId": "83d83f15-573d-41aa-a522-03496983e731"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID  ESTU_VALORMATRICULAUNIVERSIDAD  ESTU_HORASSEMANATRABAJA  \\\n",
              "0  904256                             6.0                      1.0   \n",
              "1  645256                             4.0                      0.0   \n",
              "2  308367                             4.0                      4.0   \n",
              "3  470353                             5.0                      0.0   \n",
              "4  989032                             4.0                      3.0   \n",
              "\n",
              "   FAMI_ESTRATOVIVIENDA  FAMI_TIENEINTERNET  FAMI_EDUCACIONPADRE  \\\n",
              "0                   3.0                 1.0                  1.0   \n",
              "1                   3.0                 0.0                  1.0   \n",
              "2                   3.0                 1.0                  1.0   \n",
              "3                   4.0                 1.0                  0.0   \n",
              "4                   3.0                 1.0                  0.0   \n",
              "\n",
              "   FAMI_EDUCACIONMADRE RENDIMIENTO_GLOBAL  PRGA_acuicultura  \\\n",
              "0                  1.0         medio-alto             False   \n",
              "1                  1.0               bajo             False   \n",
              "2                  1.0               bajo             False   \n",
              "3                  1.0               alto             False   \n",
              "4                  0.0         medio-bajo             False   \n",
              "\n",
              "   PRGA_administracin  ...  DEP_QUINDIO  DEP_RISARALDA  DEP_SANTANDER  \\\n",
              "0               False  ...        False          False          False   \n",
              "1               False  ...        False          False          False   \n",
              "2               False  ...        False          False          False   \n",
              "3               False  ...        False          False           True   \n",
              "4               False  ...        False          False          False   \n",
              "\n",
              "   DEP_SAN_ANDRES  DEP_SUCRE  DEP_TOLIMA  DEP_VALLE  DEP_VAUPES  \\\n",
              "0           False      False       False      False       False   \n",
              "1           False      False       False      False       False   \n",
              "2           False      False       False      False       False   \n",
              "3           False      False       False      False       False   \n",
              "4           False      False       False      False       False   \n",
              "\n",
              "   PAGOMATRICULAPROPIO_No  PAGOMATRICULAPROPIO_Si  \n",
              "0                    True                   False  \n",
              "1                    True                   False  \n",
              "2                    True                   False  \n",
              "3                    True                   False  \n",
              "4                    True                   False  \n",
              "\n",
              "[5 rows x 167 columns]"
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              "      <th>ID</th>\n",
              "      <th>ESTU_VALORMATRICULAUNIVERSIDAD</th>\n",
              "      <th>ESTU_HORASSEMANATRABAJA</th>\n",
              "      <th>FAMI_ESTRATOVIVIENDA</th>\n",
              "      <th>FAMI_TIENEINTERNET</th>\n",
              "      <th>FAMI_EDUCACIONPADRE</th>\n",
              "      <th>FAMI_EDUCACIONMADRE</th>\n",
              "      <th>RENDIMIENTO_GLOBAL</th>\n",
              "      <th>PRGA_acuicultura</th>\n",
              "      <th>PRGA_administracin</th>\n",
              "      <th>...</th>\n",
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              "      <th>0</th>\n",
              "      <td>904256</td>\n",
              "      <td>6.0</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>medio-alto</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <th>1</th>\n",
              "      <td>645256</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>308367</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>470353</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>alto</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
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              "      <td>True</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>989032</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>medio-bajo</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
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              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
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              "</table>\n",
              "<p>5 rows × 167 columns</p>\n",
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              "  </style>\n",
              "\n",
              "    <script>\n",
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              "        document.querySelector('#df-2c4ad76f-6bf4-4e4e-9f6f-8a846b9d2f79 button.colab-df-convert');\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "\n",
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              "\n",
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              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 88
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Variable objetivo"
      ],
      "metadata": {
        "id": "MkGVCfBNpeZU"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Posibilidades:\n",
        "\n",
        "\n",
        "*   Convetir en numeros por ser variable cualitativa ordinal, ya que justo, \"alto\" es mejor que \"medio-alto\".\n",
        "*   Balancear la proporción de las etiquetas. Se puede hacer generando datos para equilibrar(submuestreo o sobremuestreo).\n",
        "\n",
        "Posibles modelos que no necesitan de balancear:"
      ],
      "metadata": {
        "id": "UUbzY-t6FsGM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sorted(z.RENDIMIENTO_GLOBAL.unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oV32ynMHFrPr",
        "outputId": "5a6dd253-1129-445a-9ee7-14749a8e2b47"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['alto', 'bajo', 'medio-alto', 'medio-bajo']"
            ]
          },
          "metadata": {},
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "z.RENDIMIENTO_GLOBAL.hist()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "3dUsSSY4FxKL",
        "outputId": "d3a7ed30-b854-450f-b9b1-2bafc5b8fd0d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 90
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Convertir la columna objetivo (predicción) en valores discretos\n"
      ],
      "metadata": {
        "id": "wx0jsB9sH8Z0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "y_col = 'RENDIMIENTO_GLOBAL'\n",
        "\n",
        "rmap = {'alto': 3, 'bajo':0, 'medio-bajo':1, 'medio-alto':2}\n",
        "z[y_col] = z[y_col].replace(rmap)\n",
        "z.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 256
        },
        "id": "HYsHmpDeH0Nj",
        "outputId": "60fbcfb0-d77e-4031-82a8-1252e1f90aac"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID  ESTU_VALORMATRICULAUNIVERSIDAD  ESTU_HORASSEMANATRABAJA  \\\n",
              "0  904256                             6.0                      1.0   \n",
              "1  645256                             4.0                      0.0   \n",
              "2  308367                             4.0                      4.0   \n",
              "3  470353                             5.0                      0.0   \n",
              "4  989032                             4.0                      3.0   \n",
              "\n",
              "   FAMI_ESTRATOVIVIENDA  FAMI_TIENEINTERNET  FAMI_EDUCACIONPADRE  \\\n",
              "0                   3.0                 1.0                  1.0   \n",
              "1                   3.0                 0.0                  1.0   \n",
              "2                   3.0                 1.0                  1.0   \n",
              "3                   4.0                 1.0                  0.0   \n",
              "4                   3.0                 1.0                  0.0   \n",
              "\n",
              "   FAMI_EDUCACIONMADRE  RENDIMIENTO_GLOBAL  PRGA_acuicultura  \\\n",
              "0                  1.0                   2             False   \n",
              "1                  1.0                   0             False   \n",
              "2                  1.0                   0             False   \n",
              "3                  1.0                   3             False   \n",
              "4                  0.0                   1             False   \n",
              "\n",
              "   PRGA_administracin  ...  DEP_QUINDIO  DEP_RISARALDA  DEP_SANTANDER  \\\n",
              "0               False  ...        False          False          False   \n",
              "1               False  ...        False          False          False   \n",
              "2               False  ...        False          False          False   \n",
              "3               False  ...        False          False           True   \n",
              "4               False  ...        False          False          False   \n",
              "\n",
              "   DEP_SAN_ANDRES  DEP_SUCRE  DEP_TOLIMA  DEP_VALLE  DEP_VAUPES  \\\n",
              "0           False      False       False      False       False   \n",
              "1           False      False       False      False       False   \n",
              "2           False      False       False      False       False   \n",
              "3           False      False       False      False       False   \n",
              "4           False      False       False      False       False   \n",
              "\n",
              "   PAGOMATRICULAPROPIO_No  PAGOMATRICULAPROPIO_Si  \n",
              "0                    True                   False  \n",
              "1                    True                   False  \n",
              "2                    True                   False  \n",
              "3                    True                   False  \n",
              "4                    True                   False  \n",
              "\n",
              "[5 rows x 167 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-19596ef5-a153-4429-b6b1-1cff034e430e\" class=\"colab-df-container\">\n",
              "    <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>ID</th>\n",
              "      <th>ESTU_VALORMATRICULAUNIVERSIDAD</th>\n",
              "      <th>ESTU_HORASSEMANATRABAJA</th>\n",
              "      <th>FAMI_ESTRATOVIVIENDA</th>\n",
              "      <th>FAMI_TIENEINTERNET</th>\n",
              "      <th>FAMI_EDUCACIONPADRE</th>\n",
              "      <th>FAMI_EDUCACIONMADRE</th>\n",
              "      <th>RENDIMIENTO_GLOBAL</th>\n",
              "      <th>PRGA_acuicultura</th>\n",
              "      <th>PRGA_administracin</th>\n",
              "      <th>...</th>\n",
              "      <th>DEP_QUINDIO</th>\n",
              "      <th>DEP_RISARALDA</th>\n",
              "      <th>DEP_SANTANDER</th>\n",
              "      <th>DEP_SAN_ANDRES</th>\n",
              "      <th>DEP_SUCRE</th>\n",
              "      <th>DEP_TOLIMA</th>\n",
              "      <th>DEP_VALLE</th>\n",
              "      <th>DEP_VAUPES</th>\n",
              "      <th>PAGOMATRICULAPROPIO_No</th>\n",
              "      <th>PAGOMATRICULAPROPIO_Si</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>904256</td>\n",
              "      <td>6.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>645256</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>308367</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>470353</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>989032</td>\n",
              "      <td>4.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>...</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 167 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-19596ef5-a153-4429-b6b1-1cff034e430e')\"\n",
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              "\n",
              "  <style>\n",
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              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-19596ef5-a153-4429-b6b1-1cff034e430e button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-19596ef5-a153-4429-b6b1-1cff034e430e');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-9ffdac42-f49f-4737-af74-ee0ec5618874\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9ffdac42-f49f-4737-af74-ee0ec5618874')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
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              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --hover-bg-color: #E2EBFA;\n",
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              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
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              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "z"
            }
          },
          "metadata": {},
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Analisis"
      ],
      "metadata": {
        "id": "eydFOVYb7Y49"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "z.dtypes.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 178
        },
        "id": "s5YmUtBA7jjN",
        "outputId": "37c0d7d6-f01a-4737-8f10-c5d7734025c6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "bool       159\n",
              "float64      6\n",
              "int64        2\n",
              "Name: count, dtype: int64"
            ],
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe tbody tr th {\n",
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              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
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              "    <tr>\n",
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              "      <td>159</td>\n",
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              "      <td>2</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Preprocesamientos"
      ],
      "metadata": {
        "id": "llQrvb8w7LXr"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "*   Normalización.\n",
        "$$z=\\frac{X-max(x)}{min(x)}$$\n",
        "*   Estandarización.\n",
        "\n",
        "$$z=\\frac{X-media(x)}{devestad(x)}$$\n",
        "\n"
      ],
      "metadata": {
        "id": "rF5fWJh07Pcp"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Selección de caracteristicas"
      ],
      "metadata": {
        "id": "9F4cxB1t7n0_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "*   Selección Basada en la varianza\n",
        "\n",
        "\n",
        "```\n",
        "from sklearn.feature_selection import VarianceThreshold\n",
        "\n",
        "# Eliminar características con varianza menor a un umbral\n",
        "selector = VarianceThreshold(threshold=0.1)\n",
        "X_selected = selector.fit_transform(X)\n",
        "```\n",
        "\n",
        "\n",
        "\n",
        "*   Selección Basada en la Correlacion\n",
        "\n",
        "\n",
        "```\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Calcular la matriz de correlación\n",
        "corr_matrix = np.corrcoef(X.T)\n",
        "\n",
        "# Visualizar la matriz de correlación\n",
        "sns.heatmap(corr_matrix, annot=True)\n",
        "plt.show()\n",
        "\n",
        "```\n",
        "\n",
        "* Selección Basada en la importacia del modelo\n",
        "  * Arboles de Decisión\n",
        "\n",
        "\n",
        "  ```\n",
        "  from sklearn.ensemble import RandomForestClassifier\n",
        "\n",
        "  # Entrenar el modelo de Random Forest\n",
        "  model = RandomForestClassifier()\n",
        "  model.fit(X_train, y_train)\n",
        "\n",
        "  # Extraer la importancia de cada característica\n",
        "  importances = model.feature_importances_\n",
        "\n",
        "  # Visualizar las características más importantes\n",
        "  feature_names = df.columns\n",
        "  sorted_indices = np.argsort(importances)[::-1]\n",
        "  plt.bar(range(X.shape[1]), importances[sorted_indices])\n",
        "  plt.xticks(range(X.shape[1]), feature_names[sorted_indices], rotation=90)\n",
        "  plt.show()\n",
        "  ```\n",
        "\n",
        "\n",
        "  * Random Forest\n",
        "  * Gradient Boosting\n",
        "  * XGBoost\n",
        "\n",
        "\n",
        "```\n",
        "from xgboost import XGBClassifier\n",
        "from xgboost import plot_importance\n",
        "\n",
        "# Entrenar el modelo XGBoost\n",
        "xgb = XGBClassifier()\n",
        "xgb.fit(X_train, y_train)\n",
        "\n",
        "# Mostrar la importancia de las características\n",
        "plot_importance(xgb)\n",
        "plt.show()\n",
        "```\n",
        "\n",
        "\n",
        "\n",
        "* RFE(Metodos recursivos de eliminación)\n",
        "\n",
        "\n",
        "```\n",
        "from sklearn.feature_selection import RFE\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "\n",
        "# Crear un modelo base\n",
        "model = LogisticRegression()\n",
        "\n",
        "# Inicializar RFE con el modelo\n",
        "selector = RFE(estimator=model, n_features_to_select=5, step=1)\n",
        "selector = selector.fit(X_train, y_train)\n",
        "\n",
        "# Obtener las características seleccionadas\n",
        "X_selected = selector.transform(X_train)\n",
        "\n",
        "```\n",
        "\n",
        "* Y faltan...\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "_8zupafo77u2"
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    "kernelspec": {
      "display_name": "Python 3",
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      "name": "python"
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