Análise_de_vendas_e_comissões.ipynb

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      "name": "Análise de vendas e comissões.ipynb",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/viniciusbeckerdesouza/vendas_comissoes_fintech/blob/main/An%C3%A1lise_de_vendas_e_comiss%C3%B5es.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
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        "id": "XpU0Dfrp-RCg"
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      "source": [
        "# Relatório"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GPxWRLHR86bv"
      },
      "source": [
        "Este relatório apresenta análises e insights retirados de um dataset de vendas e comissões do período entre Janeiro e Julho de 2021.\n",
        "\n",
        "Os principais achados são:\n",
        "\n",
        "1. O ticket médio das vendas foi de R$214164,20.\n",
        "\n",
        "2. A comissão média foi de R$1505,22.\n",
        "\n",
        "3. Houve um pico de vendas em março, e desde então vem caindo.\n",
        "\n",
        "4. Existe uma forte correlação entre o valor de venda e o valor da comissão, a política de comissão 0.01 e o produto B. Esta relação poderia ser melhor explorada."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yojcZQk1jO3h"
      },
      "source": [
        "#@title\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "sns.set_context('paper')\n",
        "plt.rcParams['figure.figsize'] = (11,7)"
      ],
      "execution_count": 1,
      "outputs": []
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    {
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        "outputId": "4064de7a-5170-44b7-b02f-e29b053e056a"
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      "source": [
        "#@title\n",
        "df = pd.read_excel('https://github.com/viniciusbeckerdesouza/vendas_comissoes_fintech/blob/main/fintech.xlsx?raw=true')\n",
        "df.head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>data_solicitacao</th>\n",
              "      <th>data_venda</th>\n",
              "      <th>data_pagto</th>\n",
              "      <th>valor_venda</th>\n",
              "      <th>pol_comissao</th>\n",
              "      <th>valor_comissao</th>\n",
              "      <th>estado_cliente</th>\n",
              "      <th>estado_vendedor</th>\n",
              "      <th>produto</th>\n",
              "      <th>vendedor_id</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2021-01-13</td>\n",
              "      <td>2021-01-12</td>\n",
              "      <td>2021-02-01 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>un.</td>\n",
              "      <td>750.0</td>\n",
              "      <td>SC</td>\n",
              "      <td>PR</td>\n",
              "      <td>A</td>\n",
              "      <td>V_1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2021-02-14</td>\n",
              "      <td>2021-02-16</td>\n",
              "      <td>2021-03-01 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>un.</td>\n",
              "      <td>750.0</td>\n",
              "      <td>SC</td>\n",
              "      <td>PR</td>\n",
              "      <td>A</td>\n",
              "      <td>V_1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-02-17</td>\n",
              "      <td>2021-02-18</td>\n",
              "      <td>2021-03-01 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>un.</td>\n",
              "      <td>750.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>PR</td>\n",
              "      <td>A</td>\n",
              "      <td>V_23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-03-21</td>\n",
              "      <td>2021-03-25</td>\n",
              "      <td>2021-04-01 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>un.</td>\n",
              "      <td>750.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>PR</td>\n",
              "      <td>A</td>\n",
              "      <td>V_23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-01-29</td>\n",
              "      <td>2021-01-31</td>\n",
              "      <td>2021-03-01 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>un.</td>\n",
              "      <td>750.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>PR</td>\n",
              "      <td>A</td>\n",
              "      <td>V_30</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            ],
            "text/plain": [
              "  data_solicitacao data_venda  ... produto  vendedor_id\n",
              "0       2021-01-13 2021-01-12  ...       A          V_1\n",
              "1       2021-02-14 2021-02-16  ...       A          V_1\n",
              "2       2021-02-17 2021-02-18  ...       A         V_23\n",
              "3       2021-03-21 2021-03-25  ...       A         V_23\n",
              "4       2021-01-29 2021-01-31  ...       A         V_30\n",
              "\n",
              "[5 rows x 10 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 4
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    {
      "cell_type": "code",
      "metadata": {
        "id": "p9-GnUv9mwMV"
      },
      "source": [
        "#@title\n",
        "df['mes_venda'] = df['data_venda'].dt.month\n",
        "df['dia_semana'] = df['data_venda'].dt.day_name()"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
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        "outputId": "c50fe1c6-5c5d-4303-9195-7c57fe83cde6"
      },
      "source": [
        "#@title\n",
        "df.head()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>data_solicitacao</th>\n",
              "      <th>data_venda</th>\n",
              "      <th>data_pagto</th>\n",
              "      <th>valor_venda</th>\n",
              "      <th>pol_comissao</th>\n",
              "      <th>valor_comissao</th>\n",
              "      <th>estado_cliente</th>\n",
              "      <th>estado_vendedor</th>\n",
              "      <th>produto</th>\n",
              "      <th>vendedor_id</th>\n",
              "      <th>mes_venda</th>\n",
              "      <th>dia_semana</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2021-01-13</td>\n",
              "      <td>2021-01-12</td>\n",
              "      <td>2021-02-01 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>un.</td>\n",
              "      <td>750.0</td>\n",
              "      <td>SC</td>\n",
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              "      <td>V_1</td>\n",
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              "      <td>Tuesday</td>\n",
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              "      <th>1</th>\n",
              "      <td>2021-02-14</td>\n",
              "      <td>2021-02-16</td>\n",
              "      <td>2021-03-01 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>un.</td>\n",
              "      <td>750.0</td>\n",
              "      <td>SC</td>\n",
              "      <td>PR</td>\n",
              "      <td>A</td>\n",
              "      <td>V_1</td>\n",
              "      <td>2</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2021-02-17</td>\n",
              "      <td>2021-02-18</td>\n",
              "      <td>2021-03-01 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>un.</td>\n",
              "      <td>750.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>PR</td>\n",
              "      <td>A</td>\n",
              "      <td>V_23</td>\n",
              "      <td>2</td>\n",
              "      <td>Thursday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2021-03-21</td>\n",
              "      <td>2021-03-25</td>\n",
              "      <td>2021-04-01 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>un.</td>\n",
              "      <td>750.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>PR</td>\n",
              "      <td>A</td>\n",
              "      <td>V_23</td>\n",
              "      <td>3</td>\n",
              "      <td>Thursday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2021-01-29</td>\n",
              "      <td>2021-01-31</td>\n",
              "      <td>2021-03-01 00:00:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>un.</td>\n",
              "      <td>750.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>PR</td>\n",
              "      <td>A</td>\n",
              "      <td>V_30</td>\n",
              "      <td>1</td>\n",
              "      <td>Sunday</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  data_solicitacao data_venda  ... mes_venda  dia_semana\n",
              "0       2021-01-13 2021-01-12  ...         1     Tuesday\n",
              "1       2021-02-14 2021-02-16  ...         2     Tuesday\n",
              "2       2021-02-17 2021-02-18  ...         2    Thursday\n",
              "3       2021-03-21 2021-03-25  ...         3    Thursday\n",
              "4       2021-01-29 2021-01-31  ...         1      Sunday\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "v4Yf6TeQ4LMl",
        "outputId": "ae8a431b-5c75-4d11-d11f-b4cee8547e70"
      },
      "source": [
        "#@title\n",
        "df[['valor_venda',\t'valor_comissao']].describe()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>valor_venda</th>\n",
              "      <th>valor_comissao</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>3.800000e+01</td>\n",
              "      <td>91.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2.141642e+05</td>\n",
              "      <td>1505.222418</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3.053056e+05</td>\n",
              "      <td>2472.852681</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>2.000000e+03</td>\n",
              "      <td>52.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>8.782500e+03</td>\n",
              "      <td>108.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>8.800000e+04</td>\n",
              "      <td>450.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2.640000e+05</td>\n",
              "      <td>750.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.092000e+06</td>\n",
              "      <td>10920.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        valor_venda  valor_comissao\n",
              "count  3.800000e+01       91.000000\n",
              "mean   2.141642e+05     1505.222418\n",
              "std    3.053056e+05     2472.852681\n",
              "min    2.000000e+03       52.000000\n",
              "25%    8.782500e+03      108.500000\n",
              "50%    8.800000e+04      450.000000\n",
              "75%    2.640000e+05      750.000000\n",
              "max    1.092000e+06    10920.000000"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jeeAvDKe4Wk3"
      },
      "source": [
        "O **ticket médio** das vendas foi de R$214164,20.\n",
        "\n",
        "A **comissão média** foi de R$1505,22."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "id": "VXWssIIg25q7",
        "outputId": "c393a9a4-ee5f-42ae-886a-d17b244d17e9"
      },
      "source": [
        "#@title\n",
        "df.describe(include='object')"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>data_pagto</th>\n",
              "      <th>pol_comissao</th>\n",
              "      <th>estado_cliente</th>\n",
              "      <th>estado_vendedor</th>\n",
              "      <th>produto</th>\n",
              "      <th>vendedor_id</th>\n",
              "      <th>dia_semana</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>91</td>\n",
              "      <td>98</td>\n",
              "      <td>34</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "      <td>98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>25</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>9</td>\n",
              "      <td>6</td>\n",
              "      <td>38</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>2021-03-01 00:00:00</td>\n",
              "      <td>un.</td>\n",
              "      <td>SP</td>\n",
              "      <td>RJ</td>\n",
              "      <td>A</td>\n",
              "      <td>V_21</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>10</td>\n",
              "      <td>60</td>\n",
              "      <td>12</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>8</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                 data_pagto pol_comissao  ... vendedor_id dia_semana\n",
              "count                    91           98  ...          98         98\n",
              "unique                   25            5  ...          38          7\n",
              "top     2021-03-01 00:00:00          un.  ...        V_21     Friday\n",
              "freq                     10           60  ...           8         18\n",
              "\n",
              "[4 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e_Awmx-b28yS"
      },
      "source": [
        "A **política de comissão mais comum** é por unidade.\n",
        "\n",
        "O **produto mais vendido** é o D.\n",
        "\n",
        "O vendedor V_21 foi quem fez **mais vendas** no período.\n",
        "\n",
        "Sexta-feira foi o **dia da semana com mais vendas**."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "lVeptEZujSvZ",
        "outputId": "d0542c1b-3a8f-471f-ed4c-e7ac3f990ec0"
      },
      "source": [
        "#@title\n",
        "sns.countplot(data=df, x='produto', order=df['produto'].value_counts().index)\n",
        "plt.title('Vendas por produto')\n",
        "plt.show()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "M_PftTFR6zzx"
      },
      "source": [
        "Os produtos **A, D e F** são os mais vendidos."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "ZUviHyB_X4ry",
        "outputId": "1ea32099-3173-4dd6-c831-7877e82d61d4"
      },
      "source": [
        "#@title\n",
        "sns.barplot(data=df, x='produto', y='valor_venda', ci=None)\n",
        "plt.title('Valor total de venda por produto')\n",
        "plt.show()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zdIU8NUw67hQ"
      },
      "source": [
        "**Mas o produto B** é o que gera mais valor de venda.\n",
        "Na verdade, os produtos mais vendidos são gratuitos, aparentemente."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "KvzGSouzeG0d",
        "outputId": "9aba277c-adba-482c-ea90-ef1b0caba76f"
      },
      "source": [
        "#@title\n",
        "sns.barplot(data=df, x='produto', y='valor_comissao', ci=None)\n",
        "plt.title('Valor total de comissão por produto')\n",
        "plt.show()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pXYfTrR-7NuM"
      },
      "source": [
        "Os produtos que geram mais comissão são o **B e E**. Os mesmos que acumulam maior valor de venda.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "sc_eUsIqkOYf",
        "outputId": "f983d37e-59f4-4300-a130-d351206be4a4"
      },
      "source": [
        "#@title\n",
        "sns.countplot(data=df, x='pol_comissao', order=df['pol_comissao'].value_counts().index)\n",
        "plt.title('Quantidade de vendas por política de comissão')\n",
        "plt.show()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0q7NCd4X721r"
      },
      "source": [
        "A política de comissão mais comum é a **por unidade**."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "QYxw_gaeYjcD",
        "outputId": "3733da49-ca3b-4c56-973b-fa93c8db43b2"
      },
      "source": [
        "#@title\n",
        "sns.barplot(data=df, x='pol_comissao', y='valor_venda', ci=None)\n",
        "plt.title('Valor total de vendas por política de comissão')\n",
        "plt.show()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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+CPwZOBP4PTBb0iLgMWB+tj0PuA0QcGlEdAIrJD0kqR1YB3w8214G3CDpXODOiFgBxakuYAEQwLQmj83MzOpouLBIGkUxk9ihKxYRi7a0T0TcT3H6q9bJddouBY6oE78YuLgm9js2zWTK8bnA3C3lZGZmzdVQYZH0aeB0YB+gg+K0VjvFqSozM7OXNHqN5WyK2cR/RMT7gUMoPoNiZmb2Mo0WlufymscGSa+NiKcoZi9mZmYv0+g1lgckjaT49Ps9eTF+WfPSMjOz/qqhwhIRZ+XqFZJuB3aKiOXNS8vMzPqrLRYWSeO3tK27d4WZmdn2p7sZy6fz31HAu9j0LrBxwBL8rjAzM6uxxcISER8BkPQjYP+I+HU+fiNwbfPTMzOz/qbRd4W9BXim9Pi3wFurT8fMzPq7Rt8VdgvQLulfKW6X8gHg5qZlZWZm/Vaj7wr7kqS5bLrlyrSI8NuNzczsFbbmJpSPUNyGfjCApNERsbIpWZmZWb/V6L3C/g74FPALilNh5L9HNykvMzPrpxqdsfwNsF/pWxvNzMzqavRdYY9Tul2+mZnZ5jQ6Y3kN8DNJd1N8YRcAEXFKU7IyM7N+q9HC8pWmZmFmZgNGQ6fCImIhxVcD757rDwM/b2ZiZmbWPzX6rrAvAYcDBwBzgOHATcDY5qVmZmb9UaMX7z8InAj8CSAiVgE7NSspMzPrvxotLC/mvwEgaRc2fZ6lW5LGSgpJu+UyX1K7pNZSm8mSlkjqkNSSsUGSrpK0WNIcScMzvo+ktmw7tdTH1Iy1Sdq70fzMzKw6jRaWqyhOfe0q6QvAQuBrW/E804D7cv1CYFZEjAVaJB0oaTAwHTgWOAmYmW0nAhsjYlzuf3rGZwDnU9y+/0xJoySNAs4Exue2GVuRn5mZVaTRi/fXAa3AVylOh50aEd9pZF9Jk4H23A+K6zLzcn0eRSHYF1gZEevyNNtQScMoCkdtW4DREbEsIjYAbcCYXNoiojPvY7ZfI/mZmVm1Gioskr4IRERcERGXR8SKBvcbBJxNMePpMqL0Cf61FF8iNgpYU2pTL94VA1A3baHO2CS15im5l5ZGxmFmZo1r9FTYH4ArJT2Yv5zf1uB+pwBzI+L5Umx9zkYAdqG4seUaYGSpTb14Vwxefn1nc31sqE0mIlojQuWlwXGYmVmDGj0VdlVEHA0cA/wa+IakRxvY9WBgiqQ7gEOAG4HFwKTcPjEfPwGMljRC0u5AZxajRaW2k7ItwEpJh+W1mQnAvcBSYIKkwZIOyz7NzKyXNXzb/DytdTBwKLAn0O33sUTEhaX92yhmMAJukHQucGfXabV8h9gCitnItNxtPnC8pMXA08BpGb+I4quRhwKzI2J19nE9RfF5ETij0bGZmVl1Gv2A5LeAo4AO4DaKL/r68xZ3qhERR5UeTqyzfS4wtya2ETirTtsnKWYqtfGrgau3Ji8zM6tWozOW7wNnR8QL9TZKemdE3FNdWmZm1l81eo3lB5srKunKivIxM7N+rtF3hXXH764yMzOgusLiz4OYmRngGYuZmVWs28KSN4I8uZtmd1eUj5mZ9XPdFpZ8y+/53bQ5p7KMzMysX2v07caLJX0ZuAVY3xWMiJVNycrMzPqtRgvL2/PfI0qxAI6uNh0zM+vvGiosEfHuZidiZmYDQ6O3dBlOcf+uIzPUDnyjdPt7MzMzoPG3G19HcXv6L+Syc8bMzMxeptFrLPtHxIdLjy+S9GAzEjIzs/6t0RnLHyWd0PVA0vuAPzYnJTMz688aLSynA5+UtErSfwCfzpiZmdnLNPqusJ8D72tyLmZmNgBssbBI+gpbuMFkRPxd5RmZmVm/1t2M5We9koWZmQ0YWywsEXF9byViZmYDQ6MfkNwP+ApwALBDVzwi9m5SXmZm1k81+q6wWRSF5c9AC8VXEXc7m5H0BkkdkhZKapf0NknDJc2RtFjSVZIGZduWbLtE0uRSH62573xJu2Vst3zcLqm11HZy7t8hqaXho2BmZpVptLDsEBHLgMER8YeI+BpwQnc7Ab8HxkbEBOCLFJ/a/wRwX0SMAzYCx2XbmcBJwDHAdEmDJR0EtETEWIridkG2vRCYlfEWSQdKGgxMB47NfmY2ODYzM6tQo4XlOUlDgeWSviRpKg2cRouIDfl9LgAjgYeAccC8jM0DxksaBgyJiFUR8SywEti3TttxuT62to9svzIi1kXEKmBo9mtmZr2o0cLy98Bg4DP57wHAlEZ2zNlEB3A5sBAYBazJzWvz8ahcp058DUDe8HLH3D6idAPMV7StiZdzaZUU5aWRMZiZWeMaLSyfAZYD/xtoA85r9Eu+IuLRiDgCmExRXNZQzF6guLHl6ppY3XjOPp7N7etLs5Hu+ijn0hoRKi+NjMHMzBrXUGGJiA8BhwB3Ap8EnpB0VXf7Sdqh9HAtxbdPLgImZWwSsDhnH52S9pA0guK01pPZdmKpbXuuLy71MTEfPwGMljRC0u5AZ0Q838j4zMysOo3e3ZiIeF7SHbnPjjR2i5fDJM2guEgv4FyKD13OlrQIeAyYn23PA27LdpdGRCewQtJDktqBdcDHs+1lwA2SzgXujIgVUJzqAhZQ3C1gWqNjMzOz6jT6OZZTKa6pHAD8EJgRER3d7RcRS4AJdTadXKftUl7+1cdd8YuBi2tiv2PTTKYcnwvM7S4vMzNrnkZnLIcB/xAR9zQzGTMz6/8avbvxec1OxMzMBoZG3xVmZmbWEBcWMzOrlAuLmZlVyoXFzMwq5cJiZmaVcmExM7NKubCYmVmlXFjMzKxSLixmZlYpFxYzM6uUC4uZmVXKhcXMzCrlwmJmZpVyYTEzs0q5sJiZWaVcWMzMrFIuLGZmVikXFjMzq1RTC4ukd0laImmhpNsljZS0m6T5ktoltZbaTs62HZJaMjZI0lWSFkuaI2l4xveR1JZtp5b6mJqxNkl7N3NsZmZWX7NnLP8OvCciJgA/AD4DXAjMioixQIukAyUNBqYDxwInATNz/4nAxogYB9wHnJ7xGcD5wDjgTEmjJI0CzgTG57YZTR6bmZnV0dTCEhG/joj1+fAFoBMYC8zL2DyKQrAvsDIi1kXEKmCopGEUhaO2LcDoiFgWERuANmBMLm0R0RkRy4D9mjk2MzOrr1eusUjaFTgbuBYYERHP5aa1wKhc1pR2qRfvigGom7ZQZ2ySWiVFedmmgZmZ2Ss0vbBIei1wC/DZiPg9sD5nIwC7AKspCsLI0m714l0xgOimLcCG2lwiojUiVF62aXBmZvYKzb54PwS4Cbg8IjoyvBiYlOsT8/ETwGhJIyTtDnRGxPPAolLbSdkWYKWkw/LazATgXmApMEHSYEmHZZ9mZtbLhjS5/49QXBfZWdLngNuBy4AbJJ0L3BkRK6A4TQUsoJiNTMv95wPHS1oMPA2clvGLKE6rDQVmR8Tq7ON6iuLzInBGk8dmZmZ1NLWwRMS3gW/X2TSxTtu5wNya2EbgrDptn6SYqdTGrwau7mm+Zma27fwBSTMzq5QLi5mZVcqFxczMKuXCYmZmlXJhMTOzSrmwmJlZpVxYzMysUi4sZmZWKRcWMzOrVLNv6WJmtl244rwf9HUKlTvnH9/fo/08YzEzs0q5sJiZWaVcWMzMrFIuLGZmVikXFjMzq5QLi5mZVcqFxczMKuXCYmZmlXJhMTOzSrmwmJlZpZpaWCQNlXS3pLWSpmRsN0nzJbVLai21nSxpiaQOSS0ZGyTpKkmLJc2RNDzj+0hqy7ZTS31MzVibpL2bOTYzM6uv2TOWTmAK8I1S7EJgVkSMBVokHShpMDAdOBY4CZiZbScCGyNiHHAfcHrGZwDnA+OAMyWNkjQKOBMYn9tmNHVkZmZWV1MLSxSergmPBebl+jyKQrAvsDIi1kXEKmCopGEUhaO2LcDoiFgWERuANmBMLm0R0RkRy4D9mjUuMzPbvL64xjIiIp7L9bXAqFzWlNrUi3fFANRNW6gzNkmtkqK8bOtgzMzs5fqisKzP2QjALsBqioIwstSmXrwrBhDdtAXYUPvEEdEaESov2zoYMzN7ub4oLIuBSbk+MR8/AYyWNELS7kBnRDwPLCq1nZRtAVZKOiyvzUwA7gWWAhMkDZZ0WPZpZma9rOlf9CXpZuBw4FlJY4DLgBsknQvcGRErsl0rsIBiNjItd58PHC9pMfA0cFrGLwKuBYYCsyNidfZxPUXxeRE4o9ljMzOzV2p6YYmIk+uEJ9ZpNxeYWxPbCJxVp+2TFDOV2vjVwNU9TtbMzLaZPyBpZmaVcmExM7NKubCYmVmlXFjMzKxSLixmZlYpFxYzM6uUC4uZmVXKhcXMzCrlwmJmZpVyYTEzs0q5sJiZWaVcWMzMrFIuLGZmVikXFjMzq5QLi5mZVcqFxczMKuXCYmZmlXJhMTOzSrmwmJlZpVxYzMysUkP6OoGqSZoKnA68AHwiIn7RxymZDVgLx0/o6xQqN2HRwr5Ood8bUDMWSaOAM4HxwPnAjL7NyMxs+zOgCgswBmiLiM6IWAbs19cJmZltbxQRfZ1DZSSdAuwZETPy8cMRcXBpeytwSR+lZ2Y2oESE6sUH2jWWNcAhpccbyhsjohVo7cV8GiYpNvcibW98LDbxsdjEx6LQH47DQDsVthSYIGmwpMOAJ/o6ITOz7c2AmrFExGpJ1wOLgReBM/o4JTOz7c6AusbSn/WH6W1v8bHYxMdiEx+LQn84DgPtVFh/dmlfJ/Aq4mOxiY/FJj4WhVf9cfCMxczMKuUZi5mZVcqFxXqdpKmSOiS1Sdq7ZltLblsiaXLG3ijpfknPSjq8b7KujqShku6WtFbSlDrbJ+f4OyS1ZGxixq4ptfs3Sa/rzdyr1oOfhRMkLZW0SNJ3JQ3N+I6SrpP0E0l39sVYqrK1x6S07aOS1vVutpsREV689NoCjKJ4W/gQoAW4uWZ7O/DfgB2BB4DBwDBgV2A2cHhfj6GCYyBgD4rPVE2p2TY4x71THof2jN+Qx+zaPIYnA2f39Vj64GfhLcDQ3D4DODXXvwoc2ddj6otjkvGhwPeBR/t6DBHhGUtvk3SUpCtyfbf8q6RN0tcl3Snptr7Osck2e9sdScOAIRGxKiKeBVYC+0bE8xHxhz7Kt3JReHozm/cFVkbEuohYBQzN4xIUBXYoRWH6KHDNZvroL3rys/DvEfFiNnsB6Mz1I4GPSFoo6bO9OIaqbfUxyc1nUfzhtbGX863LheXV446IOJriF8nB3bbuv0ZR3CGhy6CabWtLj9dmbHtSe3y6jsFXKQpJBzAVuAL4kqR/lPSGXs+yGj3+WZC0D/Be4HsZ+ivgNuA9wImSDmxGwr1gq4+JpBHAcRHxPV4lXFh6X/lteOX3oj+Q//6Kgf3LdA0wsvR4wxa27QKs7o2kXkXqHoOIeCQiTqX4Rdr1S/Nx4GtAf/0LvUc/C5L+AvgO8NGIeCG3/zYi7oqITuBO4G1Ny7q5enJMplH8ofGq4cLS+9YAb8r1t5fimys4A81mb7sTEc8BnZL2yL/C9gWe7KM8+8oTwGhJIyTtDnRGxPOl7V+k+BzDjsAOuezU+2lWYqt/FiTtSDEzmRYR5Vs2dUjquk/g4cDPe2cIlevJ/4/9gc9LugN4i6RZfZF42YC6pUs/8TCwMd+5cs/mGuUvlc9FxEW9llkviDq33ZF0GvDLiFgInEfxi0PApRHRme/8mU/xl/oBkuZExNf7ZgTVkHQzxS/AZyWNofjL83sR8XjehXsBxR8b00r7HAKsi4ifS/oN8G8U59Y/3dv5V6GHPwvTKH6hzpAEcG1EfBv4AvBNScMp3vBwf++PaNv15JhQXG8DQNIjEfGJ3s/85fwBSTMzq5RPhZmZWaVcWMzMrFIuLGZmVikXFjMzq5QLi5mZVcqFxczMKuXCYlYRSXtJ2uxnk5r0nAt68/nMGuHCYtaPRcRf93UOZrVcWMy2IGchD0i6TdJjkv5F0iBJp0t6JJdPNtjXzpJulLRc0oOSDs++rsh+7pf0zmx7mqSbJd0l6an8HpLLM4dZpT6fyX8Pzv0fzHxHbia2c95F+6cZG5v7183DrCd8Sxez7h0CnA48RHE7jVOAv6e4JcsGYJmkHzfQz8UUt8Q/RdIQ4LXAFIp7xx1McePEWyju/b9TZhQAAAG/SURBVET+O4bi1ulLgL+muOHkfZL2i4jHS31/ErgiIq6T9FqKW8rXiwk4ISLWSXpTjucd3eRhtlU8YzHr3uMR8WAU9z+6Cfhb4McRsTYi1gE/pPjl3J2jgasB8vs2/ggcAdyY39HyMLC+dBv8BXkDyoeB5yOiI3NYAexZ0/cS4HxJFwCvz3tI1YsJuEzSw8A84KDcf0t5mG0VFxaz7kXN+i699LwvAETExq71tJHi2xQ3JRVxI3ACxRdf3SXpgHox4FTgNcChEXFo84dg2yMXFrPu7S/pEBW30z2Z4tb178nrFTsCEylud96dBcCnACQNkbQTxRd3naTCQcDwiPjN1iYo6a3Ak3nX54XAfvViwM4U312yQdIUYER2UUkeZuBrLGaNWA5cQnHaaBHwXYrvQenI7TMj4ilJe3XTz3TgmjwN1QmcCdwKjKc43fUCxbWcnvgw8FFJL1J8R8cdFLfcr43tBMyTtBxoA7qKR1V5mPm2+WZbksXipojwu6TMGuRTYWZmVinPWMwqJum9wD/UhO+IiC/0RT5mvc2FxczMKuVTYWZmVikXFjMzq5QLi5mZVcqFxczMKuXCYmZmlfovkp9u0Mcf6rIAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kEE7s7St8BGQ"
      },
      "source": [
        "As políticas de comissão com maior valor de venda são **0.01 e 1%**."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "UdpNw83PdeOs",
        "outputId": "1dd33b41-a2db-4a6e-ad6b-408d57e0ca7b"
      },
      "source": [
        "#@title\n",
        "sns.barplot(data=df, x='pol_comissao', y='valor_comissao', ci=None)\n",
        "plt.title('Valor total de comissão por política de comissão')\n",
        "plt.show()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RZ-JU0328KQJ"
      },
      "source": [
        "As políticas **0.01 e 0.04** registram maior valor de comissão acumulado."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "mQ_Ei_lDmO9_",
        "outputId": "81ce7524-9833-418d-bb57-1be7e155d586"
      },
      "source": [
        "#@title\n",
        "sns.countplot(data=df, x='estado_cliente', order=df['estado_cliente'].value_counts().index)\n",
        "plt.title('Clientes por Estado')\n",
        "plt.show()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rwnYariQ8Tvv"
      },
      "source": [
        "**São Paulo** é o Estado com mais clientes."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "iFke2RgHmXfI",
        "outputId": "fa920604-741c-4b92-88db-8e6f840deba1"
      },
      "source": [
        "#@title\n",
        "sns.countplot(data=df, x='estado_vendedor', order=df['estado_vendedor'].value_counts().index)\n",
        "plt.title('Vendedores por Estado')\n",
        "plt.show()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z6OTGgxK8ZuT"
      },
      "source": [
        "Os Estados com mais vendedores são **Rio de Janeiro, Rio Grande do Sul, São Paulo e Santa Catarina**."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "JPbQObAImc-M",
        "outputId": "b10d8a5a-7fd0-4848-a93f-4eb27f0d752b"
      },
      "source": [
        "#@title\n",
        "sns.countplot(data=df, x='mes_venda')\n",
        "plt.title('Total de vendas por mês')\n",
        "plt.show()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gIkB3Qj78lRl"
      },
      "source": [
        "**As vendas subiram em Fevereiro e Março, caindo a partir de Abril.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "xq82civxm69r",
        "outputId": "a3ff2bc1-0846-4052-d7d6-c358df6e2503"
      },
      "source": [
        "#@title\n",
        "sns.countplot(data=df, x='dia_semana', order=df['dia_semana'].value_counts().index)\n",
        "plt.title('Total de vendas por dia da semana')\n",
        "plt.show()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rQeNNdrq8vwp"
      },
      "source": [
        "**Terças e sextas** são os dias com mais vendas."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "YpIls2RfnZoc",
        "outputId": "d78dff4f-d04d-406a-c446-5d485667013f"
      },
      "source": [
        "#@title\n",
        "sns.regplot(data=df, x='valor_venda', y='valor_comissao')\n",
        "plt.title('Relação entre valor de venda e valor de comissão')\n",
        "plt.show()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AvoHuPiI9AmY"
      },
      "source": [
        "Existe uma relação positiva entre valor de venda e valor de comissão: **quanto maior o valor de venda maior o valor de comissão**.\n",
        "\n",
        "Mas em alguns casos esta regra não vale. *Isso poderia ser melhor explorado com mais dados*."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "id": "DG2XicXmslVc",
        "outputId": "33a33a00-6d69-4561-e4ea-6a5e48ccd14b"
      },
      "source": [
        "#@title\n",
        "sns.jointplot(data=df, x='valor_venda', y='valor_comissao')\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jahzZ17I9UMe"
      },
      "source": [
        "Os **valores mais baixos são mais comuns** tanto para o valor de venda quanto para o valor de comissão."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "Dbqf3HkEenwu",
        "outputId": "f494167d-e0a2-4e64-cc76-d82a3197955e"
      },
      "source": [
        "#@title\n",
        "sns.lineplot(data=df, x='data_venda', y='valor_venda')\n",
        "plt.title('Vendas ao longo do tempo')\n",
        "plt.show()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qHUegkI49jyP"
      },
      "source": [
        "Existem alguns **picos de venda** ao longo do período.\n",
        "\n",
        "Poderíamos cruzar estes dados com outras informações para entender o motivo destes picos (proximidade de eventos importanes, dia do pagamento, etc)."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "E9Yr8Wejg4XP",
        "outputId": "064a5557-3df2-41ce-dac2-573b7f05bf8f"
      },
      "source": [
        "#@title\n",
        "media_comissao = df.groupby('pol_comissao').mean().reset_index()\n",
        "media_comissao"
      ],
      "execution_count": 22,
      "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>pol_comissao</th>\n",
              "      <th>valor_venda</th>\n",
              "      <th>valor_comissao</th>\n",
              "      <th>mes_venda</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.01</td>\n",
              "      <td>638444.444444</td>\n",
              "      <td>6045.000000</td>\n",
              "      <td>5.111111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.026</td>\n",
              "      <td>8457.777778</td>\n",
              "      <td>213.480000</td>\n",
              "      <td>3.888889</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.04</td>\n",
              "      <td>149600.000000</td>\n",
              "      <td>5984.000000</td>\n",
              "      <td>3.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.0%</td>\n",
              "      <td>744000.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>un.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>433.333333</td>\n",
              "      <td>2.433333</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  pol_comissao    valor_venda  valor_comissao  mes_venda\n",
              "0         0.01  638444.444444     6045.000000   5.111111\n",
              "1        0.026    8457.777778      213.480000   3.888889\n",
              "2         0.04  149600.000000     5984.000000   3.500000\n",
              "3         1.0%  744000.000000             NaN   3.000000\n",
              "4          un.            NaN      433.333333   2.433333"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "xnrFlP_gfdXj",
        "outputId": "61a4bf2f-8d8c-4572-89e8-cd5551ef1df2"
      },
      "source": [
        "#@title\n",
        "sns.barplot(data=media_comissao, x='pol_comissao', y='valor_comissao')\n",
        "plt.title('Valor médio da comissão por política de comissão')\n",
        "plt.show()"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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T+7IeMzMbWJUSRUTclEcfBA6rLRozM2s7lc5RSLpA0hhJ20m6XdIfJfk3DWZmQ0DVk9mHR8Ra4H3Aw8AewCm1RWVmZm2jaqIYJWk70q+mr4+IdTXGZGZmbaRqorgM+AOwA3C7pN2AtbVFZWZmbaPqLTy+HRGviIhpkfwen9Q2MxsS+n0yG/iXmmMzM7M20J+T2b/GJ7PNzIaM/pzMvsEns83Mhg6fzDYzs1I+mW1mZqVKb+Eh6dMRcbGkr5Fu1tfoC/WEZWZm7aK3ez39Lr8+UncgZmbWnkoTRUT8Ir/+qDXhmJlZu6n6O4qpkpZI+oOkP0l6UtKf6g7OzMwGX9XnUVwEvB94KCKanaswM7NtVNXLY58AHnGSMDMbeqr2KM4EFkpawqbHohIRvurJzGwbVzVRXALcCawANtYXjpmZtZuqiWJkRJxaayRmZtaWqiaKBZLOAuay+aGnlbVEZWZmbaNqonhrfn13oSyAIwY2HDMzazeVEkVEHF53IGZm1p4qJQpJ2wOzgENy0WLg2xHxXF2BmZlZe6j6O4rLgZ2As/IwNpeZmdk2ruo5ij0j4vjC9OclLasjIDMzay9VexTPSDqme0LS0cAzvTWS9Mp8j6iFkhZLepOk7SVdI6lT0qWShuW6k3LdpZKmF5bRkdvOkzShrxtoZmZbpmqiOBE4SdIqSX8EPpHLevNXYHJEvB34V9Jhqw8D90bEFNKP947KdS8kPWr1ncC5koZL2geYFBGTgdnAGRXjNTOzAVL1qqffAEf3deER8UJhchzwADAFOCeXzQXeLmkBMCIiVgFIWgnsnuvOLdT1j/7MzFqs6m3Gb5Y0rjD9UklzKrbdO98j6iJgITAeWJ1nr8nT4/M4TcpXA+QrrHZssvwOSVEcqsRlZmbVVD30tGtE/P2LPCJWA6+p0jAifh0RBwPTScliNal3AelKqqcbypqWSxoFPNtk+R0RoeJQcZvMzKyCqolig6Q9uickTQSe762RpO0Kk2uAdcAiYFoumwZ05t5Cl6RdJI0mHXZ6PNedWqi7uGK8ZmY2QKpeHjsLuFnSY4CANwAfqtDuLZLOI520FukcwyPAFZIWAQ8D83Ld04Abcr1zIqILWCHpAUmLgbUV12lmZgOo6snsJfkKpIm56JGI+HuPQtJBEXFXk3ZLgbc3WeRxTereDRzcpPxs4OwqcZqZ2cCr2qMgIjYAy3uYfQnwlgGJyMzM2krVcxS98QlkM7Nt1EAlCl+Sama2jXKPwszMSvWaKCQNk/Sik88N7hygeMzMrM30migiYiNwei91Pj1gEZmZWVupetVTp6SvAteRfjQH+JnZZmZDQdVE8eb8Wvydg5+ZbWY2BPiZ2WZmVsrPzDYzs1J+ZraZmZXyM7PNzKxUrc/MNjOzrV/dz8w2M7OtXK3PzDYzs61faaKQ9DVKbvgXEV8Y8IjMzKyt9NajeKQlUZiZWdsqTRQR8aNWBWJmZu2p6g/uJgJfA/YCtusuj4g31BSXmZm1iaq/o5gNnAJ8H5hMuuJpdF1BmZlZ+6h6eex2EXEPMDwi/isivgkc01sjMzPb+lXtUTwnaSTwoKQvAU/1oa2ZmW3FqvYovggMBz6VX/cCZtQVlJmZtY+qvYJPAT8AbgOuBxZGRI+/rzAzs21HpR5FRPwTsB+wADgJeEzSpXUGZmZm7aHyeYaIWC/p1txmR3xLDzOzIaFSj0LSByTdCPwKOAg4LyJ2q9DubZKWSloo6WZJ4yRNkDRP0mJJHYW603PdJZIm5bJhki6V1CnpmvwAJTMza6GqPYq3AF+PiLv6uPzfAUdGxDpJHyed6xgHzI6I63Ly2Bt4FDgXOJT0UKRrSL/XmApsjIgpkk4n/X7jkj7GYGZmW6DqOYrT+pEkiIg/RcS6PLkB6CIlgLm5bC4pOewOrIyItRGxChgpaRQwpUldMzNroaqXx24RSS8DPgn8EBhdeNb2GmB8HlYXmjQr7y5rXHaHpCgONW2GmdmQVHuikLQDcB3wmYj4K7Au9xYgPYf7aVIyGFdo1qy8u2wzEdERESoONW2KmdmQVGuikDQCuBq4KCKW5OJOYFoen5qnHwP2kDRa0s5AV0SsBxYV6k7Ldc3MrIXqvg3HP5NPUEv6LHAzcD5wpaRTgQURsQLSISRgPulBSbNy+3nAeyV1Ak8CM2uO18zMGtSaKCLix8CPm8ya2qTuHGBOQ9lG4OR6ojMzsypacjLbzMy2Xk4UZmZWyonCzMxKOVGYmVkpJwozMyvlRGFmZqWcKMzMrJQThZmZlXKiMDOzUk4UZmZWyonCzMxKOVGYmVkpJwozMyvlRGFmZqWcKMzMrJQThZmZlXKiMDOzUk4UZmZWyonCzMxKOVGYmVkpJwozMyvlRGFmZqWcKMzMrJQThZmZlXKiMDOzUk4UZmZWqtZEIWmkpDslrZE0I5dNkDRP0mJJHYW60yUtlbRE0qRcNkzSpZI6JV0jafs64zUzsxeru0fRBcwAvl0oOxOYHRGTgUmS9pY0HDgXeBdwLHBhrjsV2BgRU4B7gRNrjtfMzBrUmigiebKheDIwN4/PBQ4FdgdWRsTaiFgFjJQ0CpjSpK6ZmbXQYJyjGB0Rz+XxNcD4PKwu1GlW3l22GUkdkqI41Be6mdnQMxiJYl3uLQDsBDxNSgbjCnWalXeXbSYiOiJCxaG+0M3Mhp7BSBSdwLQ8PjVPPwbsIWm0pJ2BrohYDywq1J2W65qZWQuNqHsFkq4FDgCelXQgcD5wpaRTgQURsSLX6wDmAwHMys3nAe+V1Ak8CcysO14zM9tc7YkiIo5rUjy1Sb05wJyGso3AyTWFZmZmFfgHd2ZmVsqJwszMSjlRmJlZKScKMzMr5URhZmalnCjMzKyUE4WZmZVyojAzs1JOFGZmVsqJwszMSjlRmJlZKScKMzMr5URhZmalnCjMzKyUE4WZmZWq/XkUZmZbo4tP+8Vgh1CLT3/rPX1u4x6FmZmVcqIwM7NSThRmZlbKicLMzEo5UZiZWSknCjMzK+XLY4ew339l38EOYcDtdvbywQ7BbJvjHoWZmZVyojAzs1JOFGZmVsqJwszMSm0ViULSxyQtkXSHpDcMdjxmZkNJ2ycKSeOBjwKHAqcD5w1uRGZmQ0vbJwrgQOCOiOiKiHuAiYMdkJnZUKKIGOwYSkk6AdgtIs7L08sjYt/C/A7gy4MUnpnZNiUi1Fi2NfzgbjWwX2H6heLMiOgAOloYTyWSotkOH4q8LzbxvtjE+2KTdt8XW8Ohp7uBt0saLuktwGODHZCZ2VDS9j2KiHha0o+ATuB54CODHJKZ2ZDS9ucotlbt3pVsJe+LTbwvNvG+2KTd98XWcOhpa3XOYAfQRrwvNvG+2MT7YpO23hfuUZiZWSn3KMzMrJQTRT+V3VZE0qQ8b6mk6blsV0n3SXpW0gGDE/XA6sc+OEbS3ZIWSfqZpJG5fEdJl0v6paQFg7EtA6Wv+6Qw74OS1rY22npIGinpTklrJM1oMn963gdLJE3KZVNz2WWFej+X9NJWxm49iAgPfRyA8aTLdkcAk4BrG+YvBl4F7AjcDwwHRgEvA64ADhjsbRikffBaYGSefx7wgTz+DeCQwd6mwdgnuXwkcBPw68HehgHaDwJ2If2+aUbDvOF528fkfbE4l1+Z99sP8348DvjkYG+LhzS4R9E/Pd5WRNIoYERErIqIZ4GVwO4RsT4i/muQ4q1Df/bB7yLi+VxtA9CVxw8B/lnSQkmfaeE2DLQ+75M8+2TSPxAbWxxvLSJ5sofZuwMrI2JtRKwCRuZ9E6R/pkaSEs0Hgct6WMZWS9Jhki7O4xNyz/MOSRdIWiDphsGOsRkniv4ZT/rFeLdhDfPWFKbX5LJtTb/3gaQ3Au8GbsxFbwVuAI4E3idp7zoCboE+7xNJo4GjIuJGhobGfdT92fgGKTEsAT4GXAx8SdK3JL2y5VG23q0RcQQpcbbdM4qdKPpnNTCuMP1CybydgKdbEVSL9WsfSHoF8BPggxGxIc//S0TcHhFdwALgTbVFXa/+7JNZpC/FoaLpfoiIhyLiA6R/Hrr/UXgU+CawNfcyGxUvMy3+buL+/Pp72vAfSyeK/unxtiIR8RzQJWmX/N/i7sDjgxRnnfq8DyTtSOo5zIqI4q1Ylkjqvp/XAcBvWrMJA64/n4s9gVMk3Qq8VtLswQi8hR4D9pA0WtLOQFdErC/M/1fSbwp2BLbLw5jWh1mb1cCr8/ibC+U9JZC20Pa38GhH0eS2IpJmAr+NiIXAaaQvRAHnRERXvsJnHum/pb0kXRMRFwzOFmy5fu6DWaQvyPMkAfwwIn4MnAV8X9L2pJOb97V+i7Zcf/YJ6Vg8AJIeiogPtz7ygSfpWlLSf1bSgaTe040R8Wi+4/N80pfjrEKb/YC1EfEbSX8Gfk46f/OJVsdfo+XAxnx13109VcpJ9LMR8fmWRVbCP7gzM7NSPvRkZmalnCjMzKyUE4WZmZVyojAzs1JOFGZmVsqJwszMSjlRmJWQ9DpJPV7vXtM657dyfWa9caIwazMR8Y7BjsGsyInChpzcS7hf0g2SHpb0PUnDJJ0o6aE8nFRxWWMlXSXpQUnLJB2Ql3VxXs59kg7KdWdKulbS7ZKeyM/nuCjHMLuwzKfy6765/bIc77geysbmO4/+KpdNzu2bxmHWV76Fhw1V+wEnAg+QbqtxAvBF0m0nXgDukXRbheWcTbpt9gmSRgA7ADNI9/PZl3SDw+tI93Qivx5IugX5UuAdpJve3StpYkQ8Wlj2ScDFEXG5pB1It2ZvVibgmIhYK+nVeXv+Ry9xmFXmHoUNVY9GxLJI97C5GvgccFtErImItcAtpC/b3hwBfBcgP4fiGeBg4Kr8XIblwLrCrbLn55vgLQfWR8SSHMMKYLeGZS8FTpd0BvDyfG+oZmUCzpe0HJgL7JPbl8VhVpkThQ1V0TC+U4vWuwEgIjZ2j2cbSU9/2xRUxFXAMaQHPN0uaa9mZcAHgJcA+0fE/vVvgg01ThQ2VO0paT+l29geR7q99ZH5eP+OwFTSbcN7Mx/4OICkEZLGkB6+c6ySfYDtI+LPfQ1Q0uuBx/NdhhcCE5uVAWNJz/R4QekZ1aPzIgYkDjOfo7Ch6kHgy6TDNIuAn5GefbAkz78wIp6Q9LpelnMucFk+7NMFfBS4HjiUdHhpA+lcSH8cD3xQ0vOkZ1fcSrotd2PZGGCupAeBO4DuZDBQcdgQ59uM25CTv/yvjghfBWRWgQ89mZlZKfcozCqQ9G7g6w3Ft0bEWYMRj1krOVGYmVkpH3oyM7NSThRmZlbKicLMzEo5UZiZWSknCjMzK/X/AQlssKKyKNqWAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9eEyoiDI9rbs"
      },
      "source": [
        "O **valor médio da comissão** é bem expressivo quando a política de comissão é de 0,01 ou de 0,04."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "id": "QIsSkS4mxPEl",
        "outputId": "caaaca19-22a5-4642-cf8d-b0146ed984d8"
      },
      "source": [
        "#@title\n",
        "sns.barplot(data=media_comissao, x='pol_comissao', y='valor_venda')\n",
        "plt.title('Valor médio da venda por política de comissão')\n",
        "plt.show()"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Sg4EcB-a-0_w"
      },
      "source": [
        "Quando olhamos para o **valor médio de venda**, a política de comissão que se destaca é a de 1%."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        },
        "id": "MX3nqeA8i_eC",
        "outputId": "d7fa3fbc-c044-46e6-8027-a08158e2e913"
      },
      "source": [
        "#@title\n",
        "media_comissao_por_produto = df.groupby('produto').mean().reset_index()\n",
        "media_comissao_por_produto"
      ],
      "execution_count": 25,
      "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>produto</th>\n",
              "      <th>valor_venda</th>\n",
              "      <th>valor_comissao</th>\n",
              "      <th>mes_venda</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>A</td>\n",
              "      <td>NaN</td>\n",
              "      <td>750.00</td>\n",
              "      <td>1.900000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>B</td>\n",
              "      <td>649000.000000</td>\n",
              "      <td>6045.00</td>\n",
              "      <td>4.900000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>C</td>\n",
              "      <td>8457.777778</td>\n",
              "      <td>213.48</td>\n",
              "      <td>3.888889</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>D</td>\n",
              "      <td>NaN</td>\n",
              "      <td>450.00</td>\n",
              "      <td>2.900000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>E</td>\n",
              "      <td>149600.000000</td>\n",
              "      <td>5984.00</td>\n",
              "      <td>3.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>F</td>\n",
              "      <td>NaN</td>\n",
              "      <td>100.00</td>\n",
              "      <td>2.500000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  produto    valor_venda  valor_comissao  mes_venda\n",
              "0       A            NaN          750.00   1.900000\n",
              "1       B  649000.000000         6045.00   4.900000\n",
              "2       C    8457.777778          213.48   3.888889\n",
              "3       D            NaN          450.00   2.900000\n",
              "4       E  149600.000000         5984.00   3.500000\n",
              "5       F            NaN          100.00   2.500000"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "ZzD1PEzAh2a8",
        "outputId": "4c3579ed-2f1d-4112-95d3-8f4fb46b4706"
      },
      "source": [
        "#@title\n",
        "sns.barplot(data=media_comissao_por_produto, x='produto', y='valor_comissao')\n",
        "plt.title('Valor médio de comissão por produto')\n",
        "plt.show()"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "39MfAtz__z13"
      },
      "source": [
        "Os produtos B e E têm a melhor **média de comissões**."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "D57k4YIwxUiR",
        "outputId": "19e99d06-6991-42bd-e542-28501a332cb3"
      },
      "source": [
        "#@title\n",
        "sns.barplot(data=media_comissao_por_produto, x='produto', y='valor_venda')\n",
        "plt.title('Valor médio de venda por produto')\n",
        "plt.show()"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IzxEbod2_-ru"
      },
      "source": [
        "O **ticket médio** do produto B é o maior."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wdkotGV0jTbm"
      },
      "source": [
        "#@title\n",
        "corr_df = pd.get_dummies(df[['valor_venda',\n",
        "       'pol_comissao', 'valor_comissao', 'estado_cliente', 'estado_vendedor',\n",
        "       'produto', 'vendedor_id']]).corr()"
      ],
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_Lz2qfSy_Rvm"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "\n",
        "---\n",
        "\n",
        "\n",
        "**Tabela de correlação:**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 193
        },
        "id": "kds6nwXNn8Vl",
        "outputId": "6c79e0b7-33fa-4740-a852-13ec00eae735"
      },
      "source": [
        "#@title\n",
        "corr_df.query(\"valor_venda > 0.75\")"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>valor_venda</th>\n",
              "      <th>valor_comissao</th>\n",
              "      <th>pol_comissao_0.01</th>\n",
              "      <th>pol_comissao_0.026</th>\n",
              "      <th>pol_comissao_0.04</th>\n",
              "      <th>pol_comissao_1.0%</th>\n",
              "      <th>pol_comissao_un.</th>\n",
              "      <th>estado_cliente_BA</th>\n",
              "      <th>estado_cliente_MG</th>\n",
              "      <th>estado_cliente_PR</th>\n",
              "      <th>estado_cliente_RS</th>\n",
              "      <th>estado_cliente_SC</th>\n",
              "      <th>estado_cliente_SP</th>\n",
              "      <th>estado_vendedor_AC</th>\n",
              "      <th>estado_vendedor_AL</th>\n",
              "      <th>estado_vendedor_MG</th>\n",
              "      <th>estado_vendedor_PE</th>\n",
              "      <th>estado_vendedor_PR</th>\n",
              "      <th>estado_vendedor_RJ</th>\n",
              "      <th>estado_vendedor_RS</th>\n",
              "      <th>estado_vendedor_SC</th>\n",
              "      <th>estado_vendedor_SP</th>\n",
              "      <th>produto_A</th>\n",
              "      <th>produto_B</th>\n",
              "      <th>produto_C</th>\n",
              "      <th>produto_D</th>\n",
              "      <th>produto_E</th>\n",
              "      <th>produto_F</th>\n",
              "      <th>vendedor_id_V_1</th>\n",
              "      <th>vendedor_id_V_10</th>\n",
              "      <th>vendedor_id_V_11</th>\n",
              "      <th>vendedor_id_V_12</th>\n",
              "      <th>vendedor_id_V_13</th>\n",
              "      <th>vendedor_id_V_14</th>\n",
              "      <th>vendedor_id_V_15</th>\n",
              "      <th>vendedor_id_V_16</th>\n",
              "      <th>vendedor_id_V_17</th>\n",
              "      <th>vendedor_id_V_18</th>\n",
              "      <th>vendedor_id_V_19</th>\n",
              "      <th>vendedor_id_V_2</th>\n",
              "      <th>vendedor_id_V_20</th>\n",
              "      <th>vendedor_id_V_21</th>\n",
              "      <th>vendedor_id_V_22</th>\n",
              "      <th>vendedor_id_V_23</th>\n",
              "      <th>vendedor_id_V_24</th>\n",
              "      <th>vendedor_id_V_25</th>\n",
              "      <th>vendedor_id_V_26</th>\n",
              "      <th>vendedor_id_V_27</th>\n",
              "      <th>vendedor_id_V_3</th>\n",
              "      <th>vendedor_id_V_30</th>\n",
              "      <th>vendedor_id_V_31</th>\n",
              "      <th>vendedor_id_V_32</th>\n",
              "      <th>vendedor_id_V_34</th>\n",
              "      <th>vendedor_id_V_36</th>\n",
              "      <th>vendedor_id_V_39</th>\n",
              "      <th>vendedor_id_V_4</th>\n",
              "      <th>vendedor_id_V_40</th>\n",
              "      <th>vendedor_id_V_41</th>\n",
              "      <th>vendedor_id_V_45</th>\n",
              "      <th>vendedor_id_V_46</th>\n",
              "      <th>vendedor_id_V_47</th>\n",
              "      <th>vendedor_id_V_5</th>\n",
              "      <th>vendedor_id_V_6</th>\n",
              "      <th>vendedor_id_V_7</th>\n",
              "      <th>vendedor_id_V_8</th>\n",
              "      <th>vendedor_id_V_9</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>valor_venda</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.763333</td>\n",
              "      <td>0.784569</td>\n",
              "      <td>-0.647777</td>\n",
              "      <td>-0.128076</td>\n",
              "      <td>0.289132</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.236351</td>\n",
              "      <td>0.025430</td>\n",
              "      <td>0.338527</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.161190</td>\n",
              "      <td>-0.098709</td>\n",
              "      <td>-0.064284</td>\n",
              "      <td>-0.063020</td>\n",
              "      <td>0.118873</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.088303</td>\n",
              "      <td>0.134117</td>\n",
              "      <td>0.072229</td>\n",
              "      <td>-0.066738</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.862586</td>\n",
              "      <td>-0.647777</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.128076</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.038465</td>\n",
              "      <td>-0.038465</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.235067</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.163686</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.228742</td>\n",
              "      <td>0.615608</td>\n",
              "      <td>-0.161319</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.118873</td>\n",
              "      <td>-0.064284</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.081144</td>\n",
              "      <td>-0.018643</td>\n",
              "      <td>0.289132</td>\n",
              "      <td>0.221465</td>\n",
              "      <td>0.079583</td>\n",
              "      <td>0.503727</td>\n",
              "      <td>0.073416</td>\n",
              "      <td>-0.160028</td>\n",
              "      <td>-0.164805</td>\n",
              "      <td>-0.161190</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>valor_comissao</th>\n",
              "      <td>0.763333</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.573115</td>\n",
              "      <td>-0.214438</td>\n",
              "      <td>0.639909</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-0.606381</td>\n",
              "      <td>-0.131889</td>\n",
              "      <td>0.290763</td>\n",
              "      <td>0.530538</td>\n",
              "      <td>-0.078927</td>\n",
              "      <td>-0.078927</td>\n",
              "      <td>-0.143622</td>\n",
              "      <td>0.041832</td>\n",
              "      <td>0.153771</td>\n",
              "      <td>-0.101324</td>\n",
              "      <td>0.000108</td>\n",
              "      <td>-0.081591</td>\n",
              "      <td>-0.221721</td>\n",
              "      <td>0.173625</td>\n",
              "      <td>0.288521</td>\n",
              "      <td>-0.155921</td>\n",
              "      <td>-0.162990</td>\n",
              "      <td>0.573115</td>\n",
              "      <td>-0.214438</td>\n",
              "      <td>-0.227736</td>\n",
              "      <td>0.639909</td>\n",
              "      <td>-0.303272</td>\n",
              "      <td>-0.046036</td>\n",
              "      <td>-0.064323</td>\n",
              "      <td>-0.064323</td>\n",
              "      <td>-0.064323</td>\n",
              "      <td>-0.064323</td>\n",
              "      <td>0.310561</td>\n",
              "      <td>0.310561</td>\n",
              "      <td>-0.085658</td>\n",
              "      <td>-0.085658</td>\n",
              "      <td>-0.085658</td>\n",
              "      <td>-0.131993</td>\n",
              "      <td>-0.046036</td>\n",
              "      <td>-0.112286</td>\n",
              "      <td>-0.166353</td>\n",
              "      <td>-0.092934</td>\n",
              "      <td>-0.046036</td>\n",
              "      <td>-0.083243</td>\n",
              "      <td>0.197817</td>\n",
              "      <td>-0.102584</td>\n",
              "      <td>-0.064323</td>\n",
              "      <td>-0.046036</td>\n",
              "      <td>-0.046036</td>\n",
              "      <td>-0.107264</td>\n",
              "      <td>-0.060232</td>\n",
              "      <td>0.000108</td>\n",
              "      <td>0.230098</td>\n",
              "      <td>-0.064323</td>\n",
              "      <td>-0.046036</td>\n",
              "      <td>0.279404</td>\n",
              "      <td>0.244094</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.201231</td>\n",
              "      <td>0.089788</td>\n",
              "      <td>0.431255</td>\n",
              "      <td>0.095993</td>\n",
              "      <td>-0.076499</td>\n",
              "      <td>-0.060239</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>pol_comissao_0.01</th>\n",
              "      <td>0.784569</td>\n",
              "      <td>0.573115</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.150840</td>\n",
              "      <td>-0.107198</td>\n",
              "      <td>-0.032288</td>\n",
              "      <td>-0.399586</td>\n",
              "      <td>-0.081210</td>\n",
              "      <td>0.291548</td>\n",
              "      <td>0.291548</td>\n",
              "      <td>-0.065598</td>\n",
              "      <td>-0.065598</td>\n",
              "      <td>-0.118787</td>\n",
              "      <td>-0.065598</td>\n",
              "      <td>-0.056510</td>\n",
              "      <td>0.126255</td>\n",
              "      <td>0.148600</td>\n",
              "      <td>-0.081210</td>\n",
              "      <td>-0.073356</td>\n",
              "      <td>0.022800</td>\n",
              "      <td>0.061084</td>\n",
              "      <td>-0.059591</td>\n",
              "      <td>-0.161025</td>\n",
              "      <td>0.943339</td>\n",
              "      <td>-0.150840</td>\n",
              "      <td>-0.161025</td>\n",
              "      <td>-0.107198</td>\n",
              "      <td>-0.161025</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.081210</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.073734</td>\n",
              "      <td>-0.094809</td>\n",
              "      <td>-0.065598</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.081210</td>\n",
              "      <td>0.291548</td>\n",
              "      <td>-0.065598</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.065598</td>\n",
              "      <td>-0.032288</td>\n",
              "      <td>0.148600</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.056510</td>\n",
              "      <td>-0.032288</td>\n",
              "      <td>-0.032288</td>\n",
              "      <td>0.319292</td>\n",
              "      <td>0.319292</td>\n",
              "      <td>0.453893</td>\n",
              "      <td>0.453893</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "      <td>-0.045899</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>produto_B</th>\n",
              "      <td>0.862586</td>\n",
              "      <td>0.573115</td>\n",
              "      <td>0.943339</td>\n",
              "      <td>-0.159901</td>\n",
              "      <td>-0.113636</td>\n",
              "      <td>0.301200</td>\n",
              "      <td>-0.423587</td>\n",
              "      <td>-0.086088</td>\n",
              "      <td>0.271200</td>\n",
              "      <td>0.271200</td>\n",
              "      <td>-0.069538</td>\n",
              "      <td>-0.069538</td>\n",
              "      <td>-0.125922</td>\n",
              "      <td>-0.069538</td>\n",
              "      <td>-0.059904</td>\n",
              "      <td>0.109091</td>\n",
              "      <td>0.135783</td>\n",
              "      <td>-0.086088</td>\n",
              "      <td>-0.087056</td>\n",
              "      <td>0.005221</td>\n",
              "      <td>0.043947</td>\n",
              "      <td>0.014213</td>\n",
              "      <td>-0.170697</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.159901</td>\n",
              "      <td>-0.170697</td>\n",
              "      <td>-0.113636</td>\n",
              "      <td>-0.170697</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.086088</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.078163</td>\n",
              "      <td>-0.100504</td>\n",
              "      <td>-0.069538</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.086088</td>\n",
              "      <td>0.271200</td>\n",
              "      <td>-0.069538</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.069538</td>\n",
              "      <td>-0.034227</td>\n",
              "      <td>0.135783</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.059904</td>\n",
              "      <td>-0.034227</td>\n",
              "      <td>0.301200</td>\n",
              "      <td>0.301200</td>\n",
              "      <td>0.301200</td>\n",
              "      <td>0.428174</td>\n",
              "      <td>0.428174</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "      <td>-0.048656</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   valor_venda  ...  vendedor_id_V_9\n",
              "valor_venda           1.000000  ...        -0.161190\n",
              "valor_comissao        0.763333  ...              NaN\n",
              "pol_comissao_0.01     0.784569  ...        -0.045899\n",
              "produto_B             0.862586  ...        -0.048656\n",
              "\n",
              "[4 rows x 66 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "330iG8BFAI-z"
      },
      "source": [
        "Quando observamos a **correlação** entre as variáveis, vemos que o valor de venda está fortemente correlacionado com: \n",
        "\n",
        "* o valor da comissão;\n",
        "* a política de comissão 0.01;\n",
        "* o produto B.\n",
        "\n",
        "Por sua vez, **o valor da comissão está fortemente correlacionado com o valor de venda.**\n",
        "\n",
        "Esses indícios poderiam ser melhor explorados com mais dados."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353
        },
        "id": "cwDAMlmUoGeA",
        "outputId": "a8f9382e-95b1-493e-8599-9bcfff22acfd"
      },
      "source": [
        "#@title\n",
        "sns.heatmap(corr_df.query(\"valor_venda > 0.75\")[['valor_venda', 'valor_comissao', 'pol_comissao_0.01', 'produto_B']])\n",
        "plt.title('Mapa de calor da correlação')\n",
        "plt.show()"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}