Mumuki_Entrega_Video.ipynb

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  "metadata": {
    "colab": {
      "name": "Mumuki_Entrega_Video.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.8"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ScIzoHTB-uOO"
      },
      "source": [
        "**Diplomatura en Ciencia de Datos, Aprendizaje Automático y sus Aplicaciones**\n",
        "\n",
        "**Edición 2021**\n",
        "\n",
        "---\n",
        "## Mentoría MUMUKI\n",
        "## **\"Predicción de deserción en una plataforma educativa para aprender a programar\".**\n",
        "\n",
        "### Mentor\n",
        "\n",
        "- Bulgarelli, Franco Leonardo\n",
        "\n",
        "### Integrantes\n",
        "\n",
        "- Finzi, Nadia\n",
        "- Gherra C., Estefanía Inés\n",
        "- Primo, Eugenia\n"
      ],
      "id": "ScIzoHTB-uOO"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CMRFRiz4a_GQ"
      },
      "source": [
        "## **NOTA: ESTE ARCHIVO CONTIENE EL DETALLE DE LA NARRACIÓN DEL VIDEO. NO SE DEBE EJECUTAR EL CÓDIGO YA QUE ES UNA SELECCIÓN AISLADA DE LAS CONCLUSIONES Y GRÁFICOS MÁS RELEVANTES DEL ARCHIVO \"Mumuki_Entrega_2\".**"
      ],
      "id": "CMRFRiz4a_GQ"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ijHhb74dbWpr"
      },
      "source": [
        "# Introducción\n",
        "Descripción de proyecto: Mumuki es una plataforma educativa de programación. \n",
        "\n",
        "Nuestro objetivo general es comenzar con una descripción del lote de datos, para luego encontrar métricas que nos permitan, al final de la mentoría, llegar a predecir la deserción de los estudiantes."
      ],
      "id": "ijHhb74dbWpr"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ucwP_cvu7cx3"
      },
      "source": [
        "### 1 - ¿Qué tamaño tiene el data set y cuáles son sus variables?"
      ],
      "id": "ucwP_cvu7cx3"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i87W6dNpXOYF",
        "cellView": "form",
        "outputId": "42238c49-1d38-420d-a020-64e127721cef"
      },
      "source": [
        "#@title\n",
        "print(\"Tamaño del dataset (filas, columnas):\", df_submissions_0.shape)"
      ],
      "id": "i87W6dNpXOYF",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Tamaño del dataset (filas, columnas): (47183, 13)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Kle0s7uxDcWl",
        "cellView": "form",
        "outputId": "2d33f5d5-f87a-466e-9efe-94c649967016"
      },
      "source": [
        "#@title\n",
        "print( \"Las\", len(df_submissions_0.columns), \"variables originales del dataset son: \", list(df_submissions_0.columns))"
      ],
      "id": "Kle0s7uxDcWl",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Las 13 variables originales del dataset son:  ['exercise_eid', 'exercise_name', 'expectation_results', 'feedback', 'guide_slug', 'result', 'sid', 'student_uid', 'submission_content', 'submission_created_at', 'submission_status', 'submissions_count', 'test_results']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9qZjEXn9lqT-"
      },
      "source": [
        "Cada fila del dataset representa un envío de solución, de un estudiante, para un determinado ejercicio de la plataforma. "
      ],
      "id": "9qZjEXn9lqT-"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 262
        },
        "id": "x4Mw3_pLz4Cx",
        "cellView": "form",
        "outputId": "01603918-d754-45eb-9fee-db9264149141"
      },
      "source": [
        "#@title\n",
        "# Primeras filas del dataset \n",
        "df_submissions_0.head(3)"
      ],
      "id": "x4Mw3_pLz4Cx",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>exercise_eid</th>\n",
              "      <th>exercise_name</th>\n",
              "      <th>expectation_results</th>\n",
              "      <th>feedback</th>\n",
              "      <th>guide_slug</th>\n",
              "      <th>result</th>\n",
              "      <th>sid</th>\n",
              "      <th>student_uid</th>\n",
              "      <th>submission_content</th>\n",
              "      <th>submission_created_at</th>\n",
              "      <th>submission_status</th>\n",
              "      <th>submissions_count</th>\n",
              "      <th>test_results</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Funciones, declaración</td>\n",
              "      <td>[]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>mumukiproject/mumuki-guia-python-funciones-tip...</td>\n",
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              "      <td>76</td>\n",
              "      <td>def mitad(numero):\\r\\n  return numero / 2</td>\n",
              "      <td>2019-08-30 13:17:17.700</td>\n",
              "      <td>passed</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'title': 'Mitad de 10 es 5', 'status': 'pass...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>Funciones, declaración</td>\n",
              "      <td>[]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>mumukiproject/mumuki-guia-python-funciones-tip...</td>\n",
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              "      <td>77</td>\n",
              "      <td>def mitad(numero):\\r\\n  return numero / 2</td>\n",
              "      <td>2019-09-04 01:29:22.351</td>\n",
              "      <td>passed</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'title': 'Mitad de 10 es 5', 'status': 'pass...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
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              "      <td>def Mitas(numero):\\r\\n  return 2 / numero\\r\\n</td>\n",
              "      <td>2019-09-04 02:53:01.099</td>\n",
              "      <td>failed</td>\n",
              "      <td>0</td>\n",
              "      <td>[{'title': 'Mitad de 10 es 5', 'status': 'fail...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            ],
            "text/plain": [
              "   exercise_eid  ...                                       test_results\n",
              "0             1  ...  [{'title': 'Mitad de 10 es 5', 'status': 'pass...\n",
              "1             1  ...  [{'title': 'Mitad de 10 es 5', 'status': 'pass...\n",
              "2             1  ...  [{'title': 'Mitad de 10 es 5', 'status': 'fail...\n",
              "\n",
              "[3 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B6dfXt3O7_6X"
      },
      "source": [
        "### 2 - Descripción general"
      ],
      "id": "B6dfXt3O7_6X"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tHG7XDUSExAY"
      },
      "source": [
        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)"
      ],
      "id": "tHG7XDUSExAY"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hLcQ7qd0ouPK"
      },
      "source": [
        "En la imagen anterior representamos mediante flechas y formas las relaciones teóricas entre las variables, y detallamos las categorías de algunas de ellas. \n",
        "\n",
        "En círculos señalamos el nombre original de cada una de las variables del dataset."
      ],
      "id": "hLcQ7qd0ouPK"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mLZIulYjMJui"
      },
      "source": [
        "Observamos que la mayoría de las variables (columnas) del dataframe estaban cargadas como string, es decir, se pueden trabajar como categóricas nominales (u ordinales según el caso)\n",
        "\n",
        "Entre las que tienen números, sólo `'submissions_count'` y `'submission_created_at'` son realmente numéricas  (discreta y continua, respectivamente) desde el punto de vista estadístico y empírico."
      ],
      "id": "mLZIulYjMJui"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eyolPMIipiks"
      },
      "source": [
        "# ¿Qué hicimos?"
      ],
      "id": "eyolPMIipiks"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OQziQcMgpu67"
      },
      "source": [
        "## 1 - Limpieza y transformaciones"
      ],
      "id": "OQziQcMgpu67"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sBdtaiBNqAKH"
      },
      "source": [
        "#--------------------------------------------------#\n",
        "# CURACIÓN POR ANÁLISIS DE VARIABLES ORIGINALES\n",
        "#--------------------------------------------------#\n",
        "#TRANSFORMACIÓN DE LAS VARIABLES RELACIONADAS CON EJERCICIOS: CREACIÓN DE 'exercise_new_id'   \n",
        "  # Corrección de nombres\n",
        "df_submissions_0[\"exercise_name\"] = np.where(df_submissions_0[\"exercise_name\"] == 'Más booleanos', 'El retorno del booleano' , df_submissions_0[\"exercise_name\"])\n",
        "df_submissions_0[\"exercise_name\"] = np.where(df_submissions_0[\"exercise_name\"] == 'PIenso que así es más fácil', 'Pienso que así es más fácil', df_submissions_0[\"exercise_name\"])\n",
        "\n",
        "  # Eliminamos \"Calefones\": \n",
        "df_submissions_0 = df_submissions_0[df_submissions_0[\"exercise_name\"] != \"Calefones\"]\n",
        "\n",
        "_orden_ejer = {\"No tan distintos\": 1, \"Funciones, declaración\": 2, \"Funciones, uso\": 3, \"Probando funciones\": 4, \"Haciendo cuentas\": 5, \"Poniendo topes\": 6, \"¿Es par?\": 7, \"Libros de la buena memoria\": 8, \"Booleanos\": 9, \"Palabras, sólo palabras\": 10, \"Operando strings\": 11, \"¡GRITAR!\": 12, \"¿Y qué tal si...?\":13, \"¿De qué signo sos?\": 14, \"El retorno del booleano\": 15, \"Los premios\": 16, \"Tipos de datos\": 17, \"Datos de todo tipo\": 18, \n",
        "          \"Comprando Hardware\": 19, \"¿Me conviene?\": 20, \"Triangulos\": 21, \"Cuadrados\": 22, \"¿Está afinado?\": 23, \"¿Está cerca?\": 24, \"Cartelitos\": 25, \"Más Cartelitos\": 26, \"Cartelitos óptimos\": 27, \"Cara o ceca\": 28, \"¡Envido!\": 29, \"¡Quiero retruco!\": 30, \"¡Quiero vale cuatro!\": 31,\n",
        "          \"¿Y el tablero?\": 32, \"Impresión por pantalla\": 33, \"Martin Fierro\": 34, \"¿Y los procedimientos?\": 35, \"¿Y el program?\": 36, \"Conversiones\": 37, \"El círculo de la vida\": 38, \"Pienso que así es más fácil\": 39, \"Esto no tiene valor\": 40, \"Variables globales\": 41, \"Volviéndonos ricos\": 42, \"¿Y esto cuánto vale?\": 43}\n",
        "\n",
        "  # Mapeo del nombre de los ejercicios con su correspondiente orden dentro de la guía:\n",
        "df_submissions_0[\"exercise_new_id\"] = df_submissions_0[\"exercise_name\"].map(_orden_ejer)\n",
        "df_submissions_0[\"exercise_new_id\"] = df_submissions_0[\"exercise_new_id\"].apply(int)\n",
        "\n",
        "  # Eliminamos la columna del viejo id ya que no sera utilizada de aqui en adelante\n",
        "df_submissions_0 = df_submissions_0.drop(\"exercise_eid\", axis = 1)\n",
        "\n",
        "#--------------------------------------------------#\n",
        "#ELIMINACIÓN DE VARIABLES IRRELEVANTES\n",
        "df_submissions_0 = df_submissions_0.drop(\"feedback\", axis = 1)\n",
        "\n",
        "#--------------------------------------------------#\n",
        "#CONVERSIÓN DE TIPO DE DATO\n",
        "df_submissions_0[\"submission_created_at\"] = pd.to_datetime(df_submissions_0['submission_created_at'])\n",
        "\n",
        "#--------------------------------------------------#\n",
        "#TRATAMIENTO DE CASOS ATÍPICOS Y NULOS\n",
        "  # Reemplazamos las listas vacías en test_results por NaN's\n",
        "df_submissions_0[\"test_results\"] = df_submissions_0.test_results.replace(\"[]\", np.nan)\n",
        "\n",
        "  # Corregimos un outlier (failed que no compilaba y debería ser errored) a partir de result\n",
        "df_submissions_0[\"submission_status\"] = np.where((df_submissions_0.submission_status == \"failed\") & (df_submissions_0.result.notna()) , \"errored\", df_submissions_0.submission_status)\n",
        "\n",
        "#--------------------------------------------------#\n",
        "# CURACIÓN POR ANÁLISIS DE MÉTRICAS\n",
        "#--------------------------------------------------#\n",
        "#FILTRO DE REGISTROS (FILAS) ATÍPICOS\n",
        "  # Se filtran (excluyen por el momento) las pruebas: \n",
        "df_submissions = df_submissions_0[df_submissions_0[\"sid\"] != -1]\n",
        "\n",
        "  # Se filtran (excluyen por el momento) status pending y aborted:\n",
        "df_submissions = df_submissions[~df_submissions[\"submission_status\"].isin([\"pending\", \"aborted\"])]\n",
        "\n",
        "  # Se filtran a estudiantes que tuvieron un único envío o son inválidos (por definición o porque su período de trabajo es mayor a un cuatrimestre):\n",
        "df_submissions = df_submissions[~df_submissions[\"student_uid\"].isin([75, 142, 361, 97, -1])]\n",
        "\n",
        "#TRANSFORMACIÓN DE LAS VARIABLES RELACIONADAS CON TIEMPO: CREACIÓN DE 'año', 'cuatrimestre' y 'dia'\n",
        "  # Obtenemos el periodo al que pertenecen l@s estudiantes para poder identificar los cursos: \n",
        "      # Creamos una columna que sólo indique el año: \n",
        "df_submissions[\"año\"] = df_submissions[\"submission_created_at\"].dt.year\n",
        "\n",
        "      # Creamos una columna que sólo indique el cuatrimestre: \n",
        "df_submissions[\"cuatrimestre\"] = np.where(df_submissions[\"submission_created_at\"].dt.month.isin([ 5,  6,  7, 8]), \"2 cuatr.\",\"3 cuatr.\")\n",
        "\n",
        "      # Creamos una columna que sólo indique el día:\n",
        "dias = {0: \"1-Lunes\", 1: \"2-Martes\", 2: \"3-Miércoles\", 3: \"4-Jueves\", 4: \"5-Viernes\", 5: \"6-Sábado\", 6: \"7-Domingo\"}\n",
        "df_submissions[\"dia\"] = df_submissions[\"submission_created_at\"].dt.dayofweek\n",
        "df_submissions[\"dia\"].replace(dias, inplace =True)\n"
      ],
      "id": "sBdtaiBNqAKH",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W-At5ia3py9d"
      },
      "source": [
        "## 2 - Métricas: generación y análisis\n",
        "\n",
        "Como en el dataframe no contábamos con etiquetas que indicaran si los estudiantes desertaron o no (siendo este nuestro objetivo principal), debíamos construirlas. \n",
        "\n",
        "Para esto, analizamos y definimos las siguientes métricas, con las que pudimos clasificar a los estudiantes como desertores (1) o no (0):\n",
        "1. Cantidad de ejercicios resueltos por persona.\n",
        "2. Tiempo promedio (en segundos) invertido por ejercicio por persona.\n",
        "3. Cantidad de intentos fallidos por persona.\n",
        "\n",
        "Dentro del proceso de dicha definición de métricas, realizamos varios análisis partiendo de las métricas definidas en la entrega 1, las cuales perfeccionamos para reflejar realmente el objetivo de deserción en la plataforma. \n",
        "\n",
        "*Por ejemplo, en el caso de la métrica 1, se añadió información sobre ejercicios fallidos y ejercicios totales por persona.*\n",
        "\n",
        "*En el caso de la métrica 2, inicialmente habíamos pensado en trabajar con los envíos correctos, pero decidimos calcular el tiempo promedio para cualquier `status` de envío.*\n",
        "\n",
        "*En cambio, en la métrica 3, la perfeccionamos focalizando el análisis solo en los intentos fallidos por persona.*\n",
        "\n",
        "Toda este proceso se resumió en un dataframe nuevo, estructurado con estas métricas por persona. A partir de aquí, se lo utilizará para los sucesivos análisis y conclusiones."
      ],
      "id": "W-At5ia3py9d"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        },
        "id": "xlV7mbgg8VoW",
        "outputId": "c3c22133-5797-4294-894c-1bd2d9c3daa1"
      },
      "source": [
        "df_condiciones"
      ],
      "id": "xlV7mbgg8VoW",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>student_uid</th>\n",
              "      <th>ejercicios_totales</th>\n",
              "      <th>ejercicios_fallidos</th>\n",
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              "      <th>intentos_fallidos_max_ejer</th>\n",
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              "      <th>tiempo_prom_por_ej_correcto</th>\n",
              "      <th>tiempo_prom_por_ejercicio</th>\n",
              "      <th>cond_tiempo_prom_ejer</th>\n",
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              "  </thead>\n",
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              "      <td>248.000000</td>\n",
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              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>80</td>\n",
              "      <td>14</td>\n",
              "      <td>3.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>103</td>\n",
              "      <td>92.0</td>\n",
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              "      <td>506.642857</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <td>1.0</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>107.0</td>\n",
              "      <td>inf</td>\n",
              "      <td>107.000000</td>\n",
              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>280</th>\n",
              "      <td>362</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3</td>\n",
              "      <td>3.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>inf</td>\n",
              "      <td>87.000000</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>281 rows × 14 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     student_uid  ...  cond_tiempo_prom_ejer\n",
              "0             76  ...                      0\n",
              "1             77  ...                      0\n",
              "2             78  ...                      1\n",
              "3             79  ...                      0\n",
              "4             80  ...                      0\n",
              "..           ...  ...                    ...\n",
              "276          359  ...                      0\n",
              "277          363  ...                      1\n",
              "278          131  ...                      0\n",
              "279          143  ...                      0\n",
              "280          362  ...                      0\n",
              "\n",
              "[281 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dBmTIwtt78Fg"
      },
      "source": [
        "\n",
        "Mostramos a continuación algunos gráficos seleccionados del proceso de análisis, que nos permitieron ir estableciendo las reglas de decisión para cada métrica."
      ],
      "id": "dBmTIwtt78Fg"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZczmtxDdvyx1"
      },
      "source": [
        "**Métrica 1: Cantidad de ejercicios resueltos por persona.**\n",
        "\n",
        "Regla de decisión utilizada: si un estudiante resolvió menos del cuantil 25% de ejercicios (17 ejercicios), se considera que desertó. Este valor es un poco menos de la mitad del recorrido. \n",
        "\n",
        "La variable que concentra esta información en las etiquetas 1 (desertó) y 0 (no desertó) es: `cond_cant_ejer_resueltos`\n",
        "\n",
        "Debajo se observa el boxplot de dicha variable que refleja el cuantil 25% y su distribución entre todos los estudiantes."
      ],
      "id": "ZczmtxDdvyx1"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "RnxuzDa17pQc",
        "cellView": "form",
        "outputId": "45831d4a-e8d1-4f9c-de09-d93c58675973"
      },
      "source": [
        "#@title\n",
        "# Boxplot de la columna \"ejercicios_resueltos\":\n",
        "graficar_boxplot(df_condiciones, \"ejercicios_resueltos\", \"\", \"Cantidad de ejercicios resueltos por persona\", \"\")"
      ],
      "id": "RnxuzDa17pQc",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QeL8Hvix3D3i"
      },
      "source": [
        "**Métrica 2: Tiempo promedio invertido por ejercicio por persona.**\n",
        "\n",
        "Regla de decisión utilizada: si un estudiante invirtió más del cuantil 75% del tiempo promedio en determinado ejercicio (equivalente a casi 10 minutos), se considera que desertó.\n",
        "\n",
        "La variable que concentra esta información en las etiquetas 1 (desertó) y 0 (no desertó) es: `cond_tiempo_prom_ejer`\n",
        "\n",
        "\n",
        "---\n",
        "\n",
        "Observación: Definir esta regla de decisión requirió un análisis más profundo que considerar el análisis univariado de la métrica en sí (boxplot). \n",
        "\n",
        "Es decir, pensamos inicialmente que quizá una persona que invierta más tiempo promedio por ejercicio, podría frustrarse y desertar. Sin embargo, es relevante considerar que dedicar más tiempo por ejercicio y fallar en algunos de ellos, puede implicar un proceso de aprendizaje que no lo lleve a desertar (y logra ejercicios correctos).    \n",
        "\n",
        "Profundizamos el análisis cruzándola con otras métricas para llegar a un criterio de deserción para la variable tiempo promedio invertido."
      ],
      "id": "QeL8Hvix3D3i"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6W9nWvKFI3eT"
      },
      "source": [
        "En el siguiente gráfico hacemos un primer paneo del tiempo total que cada estudiante invirtió en cada ejercicio.\n",
        "\n",
        "Se observa que:\n",
        "* hay ejercicios que en promedio requieren más tiempo de dedicación que otros.\n",
        "* hay estudiantes que registran tiempo atípicos para ciertos ejercicios."
      ],
      "id": "6W9nWvKFI3eT"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "5cShMBR-eEmW",
        "cellView": "form",
        "outputId": "72e3855a-4785-445e-94d8-a8f9c6df668f"
      },
      "source": [
        "#@title\n",
        "plt.subplots(figsize=(15,7))\n",
        "sns.stripplot(x=tiempo_total_por_ejercicio_2['exercise_new_id'], y=tiempo_total_por_ejercicio_2['tiempo_total'], jitter=0.3)\n",
        "print(\"Tiempo invertido por estudiante en cada ejercicio\")"
      ],
      "id": "5cShMBR-eEmW",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Tiempo invertido por estudiante en cada ejercicio\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xWAN3pGtJrAa"
      },
      "source": [
        "En el siguiente gráfico se observa la distribución entre los estudiantes del tiempo promedio invertido por ejercicio.\n",
        "\n",
        "Se observa que el 50% de los estudiantes invirtió hasta 7 minutos por ejercicio. "
      ],
      "id": "xWAN3pGtJrAa"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "cellView": "form",
        "id": "Yb9bNtSN4Lnl",
        "outputId": "b2cd8178-d95d-4fb9-bd56-9d51655c9181"
      },
      "source": [
        "#@title\n",
        "graficar_boxplot(df_condiciones, \"tiempo_prom_por_ejercicio\", \", por persona\", \"Tiempo promedio invertido por ejercicio\", \"\")"
      ],
      "id": "Yb9bNtSN4Lnl",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mFTS-7j-J3Js"
      },
      "source": [
        "Como del gráfico anterior no podemos concluir el criterio de deserción para dicha métrica, optamos por cruzarla con la métrica de condición de fallos por ejercicio (métrica desarrollada en la siguiente sección). Esto se visualiza en los colores celeste y naranja de los boxplot. \n",
        "\n",
        "Además, para poder arribar a mejores conclusiones, incorporamos información sobre el tiempo promedio por ejercicio correcto. Esto se visualiza en las dos variables que contiene el eje *y*.\n",
        "\n",
        "En el primer par de boxplot vemos lo que intuitivamente creíamos al inicio: mayor tiempo invertido por ejercicio implicaba cierta frustración y deserción (boxplot naranja), mientras que menor tiempo, menor deserción (boxplot celeste).\n",
        "\n",
        "Sin embargo, cuando analizamos el promedio de tiempo invertido considerando los ejercicios correctos (segundo par de boxplot), vemos que la distribución para las personas que, según la métrica de fallos no desertaron, se superpone entre los cuantiles 50 y 75 con la distribución de quienes sí desertaron según la misma métrica. Es decir, no hay una diferencia tan clara en el tiempo invertido para resolver correctamente un ejercicio entre las personas que tienen mayor cantidad de intentos fallidos y las que tienen menos.\n",
        " \n",
        "En síntesis, si bien no hay un criterio claro de deserción debido a esta superposición, viendo los 4 boxplots podemos plantear como una primera regla que desertan los estudiantes que invierten más del cuantil 75% de tiempo promedio por ejercicio. "
      ],
      "id": "mFTS-7j-J3Js"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "cellView": "form",
        "id": "MrP7vnN9CIcq",
        "outputId": "9a248c64-6ccc-4fb0-a708-c419780b04f9"
      },
      "source": [
        "#@title\n",
        "plt.figure(figsize=(10,7))\n",
        "sns.boxplot(y=\"variable\", x=\"value\", data=prueba, hue='cond_fallos_ejer', palette='pastel') "
      ],
      "id": "MrP7vnN9CIcq",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4654aed090>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BrlRJTDAPc1p"
      },
      "source": [
        "A riesgo de que lo que estamos concluyendo esté afectado por una dependencia entre las métricas, en un análisis posterior se incluirá información respecto a la instancia o ejercicio al que llegó cada estudiante en el recorrido total. De esta manera, pretenderíamos intuir y definir una métrica combinada de deserción, que contemple todos estos aspectos que se interrelacionan."
      ],
      "id": "BrlRJTDAPc1p"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9ZdPOXB93MvS"
      },
      "source": [
        "**Métrica 3: Cantidad de intentos fallidos por persona por ejercicio**\n",
        "\n",
        "Regla de decisión utilizada: si un estudiante tuvo más del cuantil 75% de intentos fallidos en un ejercicio (más de 30), se considera que desertó. \n",
        "\n",
        "La variable que concentra esta información en las etiquetas 1 (desertó) y 0 (no desertó) es: `cond_fallos_ejer`\n",
        "\n",
        "Debajo se observa el boxplot de dicha variable que refleja el cuantil 75% y su distribución entre todos los estudiantes."
      ],
      "id": "9ZdPOXB93MvS"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "pSnP96s9ffAM",
        "cellView": "form",
        "outputId": "91002ed3-0e8c-4b63-912f-ec6ed46d3f8b"
      },
      "source": [
        "#@title\n",
        "graficar_boxplot(df_condiciones, 'intentos_fallidos_max_ejer', \", por persona\", \"Número máximo de intentos fallidos en algún ejercicio\", \"\" )"
      ],
      "id": "pSnP96s9ffAM",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Lhhd9p6igDjV"
      },
      "source": [
        "De forma similar al análisis de la métrica 2, es necesario incluir más información respecto a la instancia o ejercicio al que llegó cada estudiante para poder definir en forma acabada el criterio de deserción."
      ],
      "id": "Lhhd9p6igDjV"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GPUZL5SF7hTH"
      },
      "source": [
        "## 3 - Análisis de posibles correlaciones"
      ],
      "id": "GPUZL5SF7hTH"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N5Dzui27g_kO"
      },
      "source": [
        "Dado que en las métricas anteriores concluimos que era necesario incorporar más información para definir un criterio acabado y combinado de deserción, mostramos a continuación algunos gráficos en los que relacionamos las métricas generadas."
      ],
      "id": "N5Dzui27g_kO"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 354
        },
        "id": "plvRXeFpwdR6",
        "outputId": "19e16c90-375a-497d-b6bb-be8f5e849e54"
      },
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "sns.scatterplot(x='intentos_fallidos_max_ejer', y='tiempo_total_invertido', hue = 'cond_cant_ejer_resueltos', data=df_condiciones)"
      ],
      "id": "plvRXeFpwdR6",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7feb52087650>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 128
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "htXHB45ohjBb"
      },
      "source": [
        "Aquí observamos una relación positiva entre el tiempo total invertido y la cantidad máxima de intentos fallidos en algún ejercicio. Esto es coherente con lo esperado en tanto un estudiante que intenta y falla más veces, invirtió más tiempo en enviar soluciones.   \n",
        "\n",
        "Pero, por otro lado, en el gráfico se ve que los estudiantes que avanzaron más en el recorrido (rojos) tendrían como un proceso de aprendizaje en el error, ya que a igual cantidad de intentos fallidos máxima dedicaron más tiempo para resolver correctamente el ejercicio."
      ],
      "id": "htXHB45ohjBb"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QnSIVldRnfex"
      },
      "source": [
        "En el siguiente gráfico, desde otra perspectiva estamos viendo que a los supuestos desertores les llevó más tiempo resolver correctamente los ejercicios.\n",
        "\n",
        "Lo que no cierra es la gran cantidad de estudiantes que, según la métrica de intentos fallidos, fueron clasificados como desertores, pero que en realidad completaron todos los ejercicios. \n",
        "\n",
        "Por tanto, esta métrica está penalizando a los que fallan mucho y, en consecuencia, no podríamos confiar en ella por sí sola. "
      ],
      "id": "QnSIVldRnfex"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 354
        },
        "cellView": "form",
        "id": "7aUb5GeNdSfb",
        "outputId": "3868a264-f015-47ec-8fb5-fa70fd5d237f"
      },
      "source": [
        "#@title\n",
        "plt.figure(figsize=(10,5))\n",
        "sns.scatterplot(y='tiempo_total_invertido', x='ejercicios_resueltos', hue = 'cond_fallos_ejer', data=df_condiciones)"
      ],
      "id": "7aUb5GeNdSfb",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fcca09ee110>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GnoJTQ5xpDs_"
      },
      "source": [
        "Considerando lo visto en ambos gráficos, podría surgir una nueva métrica que mida la velocidad con la que falla el estudiante. \n",
        "\n",
        "\n",
        "\n",
        "Analizados estos gráficos, llegamos a una conclusión pensando en dos etapas:\n",
        "1. Si nos concentramos en determinada cantidad máxima de intentos fallidos, vemos que los estudiantes que completaron el recorrido dedicaron mucho más tiempo (rojos) que los que no lo completaron (azules).\n",
        "2. Si consideramos lo mismo pero calculando ahora la cantidad máxima de intentos fallidos por unidad de tiempo, vemos que los azules están fallando más por unidad de tiempo. Esto podría implicar que quizás no están internalizando los conocimientos de los ejercicios al realizar envíos fallidos con mayor velocidad. \n"
      ],
      "id": "GnoJTQ5xpDs_"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zlcINfbQiiJN"
      },
      "source": [
        "# Para continuar trabajando\n",
        "\n",
        "En la etapa siguiente, vamos a desagregar los análisis y métricas por persona y por ejercicio para incorporar la dimensión del recorrido en la plataforma."
      ],
      "id": "zlcINfbQiiJN"
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oMRpRu7IIVEC"
      },
      "source": [
        "En el gráfico siguiente mostramos un primer resultado que refleja el ejercicio más avanzado hasta el cual llegó cada estudiante."
      ],
      "id": "oMRpRu7IIVEC"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rD0fG9gbIYqM",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 356
        },
        "cellView": "form",
        "outputId": "6ea7e1a0-270c-4a7f-f3e0-0a2a49728502"
      },
      "source": [
        "#@title\n",
        "estudiantes_con_ej_max.sort_values(\"exercise_new_id\").plot.bar(x = \"exercise_new_id\", y = \"conteo\", figsize = (10, 5))"
      ],
      "id": "rD0fG9gbIYqM",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f2884b735d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 95
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lyWV2y3zw7z7"
      },
      "source": [
        "Luego de algunas transformaciones, obtuvimos el siguiente dataframe por estudiante y ejercicio, del cual derivaremos las métricas y gráficos que nos permitirán realizar un análisis más profundo.\n"
      ],
      "id": "lyWV2y3zw7z7"
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "id": "TU_A2nlAv_o7",
        "outputId": "5b756796-38d0-4096-eeb3-5ae0566143fb"
      },
      "source": [
        "estudiante_por_ejercicio"
      ],
      "id": "TU_A2nlAv_o7",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>student_uid</th>\n",
              "      <th>exercise_new_id</th>\n",
              "      <th>ultimo_estado</th>\n",
              "      <th>intentos_totales</th>\n",
              "      <th>intentos_correctos</th>\n",
              "      <th>intentos_incorrectos</th>\n",
              "      <th>tiempo_total</th>\n",
              "      <th>fecha_primer_correcto</th>\n",
              "      <th>fecha_ultimo_incorrecto</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>76</td>\n",
              "      <td>2</td>\n",
              "      <td>passed</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2019-08-30 13:17:17.700</td>\n",
              "      <td>NaT</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>76</td>\n",
              "      <td>3</td>\n",
              "      <td>passed</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2019-09-10 20:00:32.156</td>\n",
              "      <td>2019-08-30 13:40:26.023</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>76</td>\n",
              "      <td>6</td>\n",
              "      <td>passed</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2019-09-23 12:24:41.746</td>\n",
              "      <td>NaT</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>76</td>\n",
              "      <td>7</td>\n",
              "      <td>passed</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>2019-09-10 20:09:15.049</td>\n",
              "      <td>2019-09-10 20:08:45.875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>76</td>\n",
              "      <td>9</td>\n",
              "      <td>passed</td>\n",
              "      <td>5</td>\n",
              "      <td>1.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>915.0</td>\n",
              "      <td>2019-09-23 13:05:45.340</td>\n",
              "      <td>2019-09-23 13:04:41.529</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7874</th>\n",
              "      <td>359</td>\n",
              "      <td>43</td>\n",
              "      <td>passed</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2020-05-29 02:25:47.078</td>\n",
              "      <td>NaT</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7875</th>\n",
              "      <td>362</td>\n",
              "      <td>21</td>\n",
              "      <td>failed</td>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.0</td>\n",
              "      <td>87.0</td>\n",
              "      <td>NaT</td>\n",
              "      <td>2019-10-17 14:36:54.224</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7876</th>\n",
              "      <td>363</td>\n",
              "      <td>25</td>\n",
              "      <td>passed</td>\n",
              "      <td>3</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>61.0</td>\n",
              "      <td>2020-10-06 14:17:51.060</td>\n",
              "      <td>2020-10-06 14:17:11.150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7877</th>\n",
              "      <td>363</td>\n",
              "      <td>26</td>\n",
              "      <td>errored</td>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4.0</td>\n",
              "      <td>151.0</td>\n",
              "      <td>NaT</td>\n",
              "      <td>2020-10-06 14:27:26.752</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7878</th>\n",
              "      <td>363</td>\n",
              "      <td>27</td>\n",
              "      <td>errored</td>\n",
              "      <td>12</td>\n",
              "      <td>NaN</td>\n",
              "      <td>12.0</td>\n",
              "      <td>643.0</td>\n",
              "      <td>NaT</td>\n",
              "      <td>2020-10-06 14:46:04.134</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>7879 rows × 9 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      student_uid  ...  fecha_ultimo_incorrecto\n",
              "0              76  ...                      NaT\n",
              "1              76  ...  2019-08-30 13:40:26.023\n",
              "2              76  ...                      NaT\n",
              "3              76  ...  2019-09-10 20:08:45.875\n",
              "4              76  ...  2019-09-23 13:04:41.529\n",
              "...           ...  ...                      ...\n",
              "7874          359  ...                      NaT\n",
              "7875          362  ...  2019-10-17 14:36:54.224\n",
              "7876          363  ...  2020-10-06 14:17:11.150\n",
              "7877          363  ...  2020-10-06 14:27:26.752\n",
              "7878          363  ...  2020-10-06 14:46:04.134\n",
              "\n",
              "[7879 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    }
  ]
}