grafico_de_pareto_Aseguradora.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Naren8520/Python/blob/main/grafico_de_pareto_Aseguradora.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title\n",
        "from IPython.display import Image\n",
        "Image(\"/content/grafico_pareto.jpg\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 491
        },
        "cellView": "form",
        "id": "PoOt3XS2Uj4X",
        "outputId": "58dfb424-8232-49e8-a67d-30f90de76657"
      },
      "id": "PoOt3XS2Uj4X",
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<IPython.core.display.Image object>"
            ],
            "image/jpeg": 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          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "markdown",
      "id": "fc590cb2-4352-4dc9-9b8a-e0b4694939fd",
      "metadata": {
        "id": "fc590cb2-4352-4dc9-9b8a-e0b4694939fd"
      },
      "source": [
        "# **Gráfico de Pareto** \n",
        "\n",
        "El diagrama de Pareto, también llamado **Curva Cerrada** o **Distribución A-B-C**\n",
        "\n",
        "Es una gráica para organizar datos de forma que estos queden en orden descendente, de izquierda a derecha y separados por barras. Permite asignar un orden prioridades. El diagrama permite mostrar gráficamente el **Principio de Pareto** (pocos vitales, muchos triviales), es decir, que hay muchos problemas sin importancia frente a unos pocos muy importantes.\n",
        "\n",
        "Hay que tener en cuenta que tanto la distribución de los efectos como sus posibles causas no es un proceso lineal sino que el 20% de las causas totales hace que sean originados por el 80% de los efectos y rebotes internos del pronosticado.\n",
        "\n",
        "Su principal  uso que tiene el elaborar este tipo de gráfico es para poder establecer un orden de prioridades en la toma de decisiones dentro de una organización. Evaluar todas las fallas, saber si se pueden resolver o mejor evitarlas."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "mounted-thumb",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-05-24T00:37:52.328889Z",
          "start_time": "2021-05-24T00:37:51.437283Z"
        },
        "papermill": {
          "duration": 0.024207,
          "end_time": "2021-05-24T00:57:17.492939",
          "exception": false,
          "start_time": "2021-05-24T00:57:17.468732",
          "status": "completed"
        },
        "tags": [],
        "id": "mounted-thumb"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "fifty-seller",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-05-24T00:37:53.901216Z",
          "start_time": "2021-05-24T00:37:53.898211Z"
        },
        "papermill": {
          "duration": 0.019427,
          "end_time": "2021-05-24T00:57:17.522957",
          "exception": false,
          "start_time": "2021-05-24T00:57:17.503530",
          "status": "completed"
        },
        "tags": [],
        "id": "fifty-seller"
      },
      "outputs": [],
      "source": [
        "plt.rcParams.update({'font.size':14})"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b6a298a0-828c-4b40-9174-c457b95abf7a",
      "metadata": {
        "id": "b6a298a0-828c-4b40-9174-c457b95abf7a"
      },
      "source": [
        "## **Primas de Seguro de Vidas para Abril del 2020**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "cathedral-karaoke",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-05-24T00:41:09.654807Z",
          "start_time": "2021-05-24T00:41:09.636232Z"
        },
        "papermill": {
          "duration": 0.023813,
          "end_time": "2021-05-24T00:57:17.556909",
          "exception": false,
          "start_time": "2021-05-24T00:57:17.533096",
          "status": "completed"
        },
        "tags": [],
        "id": "cathedral-karaoke",
        "outputId": "2c83f727-cc08-4269-a088-c8a33d9ba620"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Aseguradoras</th>\n",
              "      <th>Primas Emitidas($)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Sura</td>\n",
              "      <td>1570749</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Seguro alfa</td>\n",
              "      <td>1095112</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Seguros Bolivar</td>\n",
              "      <td>644777</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Seguros Positiva</td>\n",
              "      <td>390671</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Axa Colpatria</td>\n",
              "      <td>296677</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Aseguradoras  Primas Emitidas($)\n",
              "0              Sura             1570749\n",
              "1       Seguro alfa             1095112\n",
              "2   Seguros Bolivar              644777\n",
              "3  Seguros Positiva              390671\n",
              "4     Axa Colpatria              296677"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df = pd.DataFrame({'Aseguradoras':['Sura','Seguro alfa',\n",
        "                                  'Seguros Bolivar', 'Seguros Positiva',\n",
        "                                  'Axa Colpatria'],\n",
        "                  'Primas Emitidas($)':[1570749,1095112,644777,390671,296677]})# Millones de dólares\n",
        "\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "analyzed-satin",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-05-24T00:43:01.884803Z",
          "start_time": "2021-05-24T00:43:01.859338Z"
        },
        "papermill": {
          "duration": 0.022269,
          "end_time": "2021-05-24T00:57:17.646006",
          "exception": false,
          "start_time": "2021-05-24T00:57:17.623737",
          "status": "completed"
        },
        "tags": [],
        "id": "analyzed-satin",
        "outputId": "5f8532dc-6011-4285-e01a-23aaf99f476a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0    1570749\n",
              "1    2665861\n",
              "2    3310638\n",
              "3    3701309\n",
              "4    3997986\n",
              "Name: Primas Emitidas($), dtype: int64"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#Suma acumulada \n",
        "df['Primas Emitidas($)'].cumsum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "crucial-major",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-05-24T00:43:23.301794Z",
          "start_time": "2021-05-24T00:43:23.283155Z"
        },
        "papermill": {
          "duration": 0.020924,
          "end_time": "2021-05-24T00:57:17.677809",
          "exception": false,
          "start_time": "2021-05-24T00:57:17.656885",
          "status": "completed"
        },
        "tags": [],
        "id": "crucial-major",
        "outputId": "5b4956f2-a08b-48be-d523-069dd24eab6b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "3997986"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df['Primas Emitidas($)'].sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "0efcb7c8-457e-4dd3-a737-4c3ffc9d4d8a",
      "metadata": {
        "id": "0efcb7c8-457e-4dd3-a737-4c3ffc9d4d8a"
      },
      "outputs": [],
      "source": [
        "df['Freq(%)'] = df['Primas Emitidas($)']/df['Primas Emitidas($)'].sum()*100"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "6e8875b5-1a69-4061-9da3-9f0b7b56c332",
      "metadata": {
        "id": "6e8875b5-1a69-4061-9da3-9f0b7b56c332",
        "outputId": "9f4abb75-c0b5-4ba4-df4e-b5a80e4b026c"
      },
      "outputs": [
        {
          "data": {
            "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>Aseguradoras</th>\n",
              "      <th>Primas Emitidas($)</th>\n",
              "      <th>Freq(%)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Sura</td>\n",
              "      <td>1570749</td>\n",
              "      <td>39.288507</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Seguro alfa</td>\n",
              "      <td>1095112</td>\n",
              "      <td>27.391592</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Seguros Bolivar</td>\n",
              "      <td>644777</td>\n",
              "      <td>16.127545</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Seguros Positiva</td>\n",
              "      <td>390671</td>\n",
              "      <td>9.771695</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Axa Colpatria</td>\n",
              "      <td>296677</td>\n",
              "      <td>7.420661</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Aseguradoras  Primas Emitidas($)    Freq(%)\n",
              "0              Sura             1570749  39.288507\n",
              "1       Seguro alfa             1095112  27.391592\n",
              "2   Seguros Bolivar              644777  16.127545\n",
              "3  Seguros Positiva              390671   9.771695\n",
              "4     Axa Colpatria              296677   7.420661"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "exotic-western",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-05-24T00:43:35.428360Z",
          "start_time": "2021-05-24T00:43:35.391896Z"
        },
        "papermill": {
          "duration": 0.039228,
          "end_time": "2021-05-24T00:57:17.727927",
          "exception": false,
          "start_time": "2021-05-24T00:57:17.688699",
          "status": "completed"
        },
        "tags": [],
        "id": "exotic-western"
      },
      "outputs": [],
      "source": [
        "df['cum (%)'] = df['Primas Emitidas($)'].cumsum()/df['Primas Emitidas($)'].sum()*100"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "ec7b2d13-c03c-4338-8c01-3055e8524e67",
      "metadata": {
        "id": "ec7b2d13-c03c-4338-8c01-3055e8524e67",
        "outputId": "9d96019b-7d78-42cd-f46b-85bad431e6cb"
      },
      "outputs": [
        {
          "data": {
            "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>Aseguradoras</th>\n",
              "      <th>Primas Emitidas($)</th>\n",
              "      <th>Freq(%)</th>\n",
              "      <th>cum (%)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Sura</td>\n",
              "      <td>1570749</td>\n",
              "      <td>39.288507</td>\n",
              "      <td>39.288507</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Seguro alfa</td>\n",
              "      <td>1095112</td>\n",
              "      <td>27.391592</td>\n",
              "      <td>66.680098</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Seguros Bolivar</td>\n",
              "      <td>644777</td>\n",
              "      <td>16.127545</td>\n",
              "      <td>82.807644</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Seguros Positiva</td>\n",
              "      <td>390671</td>\n",
              "      <td>9.771695</td>\n",
              "      <td>92.579339</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Axa Colpatria</td>\n",
              "      <td>296677</td>\n",
              "      <td>7.420661</td>\n",
              "      <td>100.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Aseguradoras  Primas Emitidas($)    Freq(%)     cum (%)\n",
              "0              Sura             1570749  39.288507   39.288507\n",
              "1       Seguro alfa             1095112  27.391592   66.680098\n",
              "2   Seguros Bolivar              644777  16.127545   82.807644\n",
              "3  Seguros Positiva              390671   9.771695   92.579339\n",
              "4     Axa Colpatria              296677   7.420661  100.000000"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "amazing-stress",
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-05-24T00:49:59.091015Z",
          "start_time": "2021-05-24T00:49:53.490120Z"
        },
        "papermill": {
          "duration": 2.58229,
          "end_time": "2021-05-24T00:57:20.362006",
          "exception": false,
          "start_time": "2021-05-24T00:57:17.779716",
          "status": "completed"
        },
        "tags": [],
        "id": "amazing-stress",
        "outputId": "f38d057e-80cb-4878-a74d-bbf27e416c8a"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig,ax1 = plt.subplots(figsize = (12,6))\n",
        "\n",
        "ax1.set_title('Gráfico de Pareto \\n Prima de seguro de vida Abril 2020')\n",
        "\n",
        "color1 = 'tomato'\n",
        "#ax1.set_xlabel('X')\n",
        "ax1.set_ylabel('Frequencia (%)',color = color1)\n",
        "\n",
        "ax1.bar(df['Aseguradoras'], df['Primas Emitidas($)'],color = color1,edgecolor = 'black',linewidth = 2,\\\n",
        "       hatch = '*')\n",
        "#ax1.set_ylim([-10,10])\n",
        "ax1.tick_params(axis = 'y',labelcolor = color1)\n",
        "\n",
        "color2 = 'Blue'\n",
        "ax2 = ax1.twinx() # compartilhar o mesmo eixo x\n",
        "ax2.set_ylabel('%',color = color2) \n",
        "\n",
        "ax2.plot(df['Aseguradoras'], df['cum (%)'],color = color2,marker = 's',markersize = 8, linestyle = '-')\n",
        "\n",
        "ax2.tick_params(axis = 'y',labelcolor = color2)\n",
        "ax2.set_ylim([0,120])\n",
        "\n",
        "for tick in ax1.get_xticklabels():\n",
        "    tick.set_rotation(45)\n",
        "    \n",
        "plt.savefig('GraficoPareto.png',format='png',dpi = 100, bbox_inches = 'tight')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "artificial-helmet",
      "metadata": {
        "papermill": {
          "duration": 0.01252,
          "end_time": "2021-05-24T00:57:20.387836",
          "exception": false,
          "start_time": "2021-05-24T00:57:20.375316",
          "status": "completed"
        },
        "tags": [],
        "id": "artificial-helmet"
      },
      "outputs": [],
      "source": [
        ""
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.5"
    },
    "papermill": {
      "default_parameters": {},
      "duration": 10.62252,
      "end_time": "2021-05-24T00:57:21.112679",
      "environment_variables": {},
      "exception": null,
      "input_path": "__notebook__.ipynb",
      "output_path": "__notebook__.ipynb",
      "parameters": {},
      "start_time": "2021-05-24T00:57:10.490159",
      "version": "2.3.2"
    },
    "colab": {
      "name": "grafico de pareto-Aseguradora.ipynb",
      "provenance": [],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}