Retail_Store_data_analysis.ipynb

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      "source": [
        "# Paso 1: Cargar los Datos"
      ],
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              "  InvoiceNo StockCode                          Description  Quantity  \\\n",
              "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
              "1    536365     71053                  WHITE METAL LANTERN         6   \n",
              "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
              "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
              "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
              "\n",
              "           InvoiceDate  UnitPrice  CustomerID         Country  \n",
              "0  2010-12-01 08:26:00       2.55     17850.0  United Kingdom  \n",
              "1  2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n",
              "2  2010-12-01 08:26:00       2.75     17850.0  United Kingdom  \n",
              "3  2010-12-01 08:26:00       3.39     17850.0  United Kingdom  \n",
              "4  2010-12-01 08:26:00       3.39     17850.0  United Kingdom  "
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              "      <th>InvoiceNo</th>\n",
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              "      <td>6</td>\n",
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              "      <td>2.55</td>\n",
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              "      <th>1</th>\n",
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              "      <td>3.39</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>536365</td>\n",
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              "      <td>536365</td>\n",
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              "      <td>3.39</td>\n",
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              "      <th>4</th>\n",
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              "      <td>3.39</td>\n",
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              "type": "dataframe",
              "variable_name": "df"
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          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "#Leer el archivo CSV\n",
        "file_path = 'online_retail.csv'\n",
        "df = pd.read_csv(file_path)\n",
        "\n",
        "# Mostrar las primeras filas para entender la estructura del dataset\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Paso 2: Limpiar y Preprocesar los Datos"
      ],
      "metadata": {
        "id": "aDkQKsuDproh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Convertir 'InvoiceDate' a datetime\n",
        "df['InvoiceDate'] = pd.to_datetime(df['InvoiceDate'])\n",
        "\n",
        "# Rellenar valores nulos en 'CustomerID' con -1 y convertir a entero\n",
        "df['CustomerID'] = df['CustomerID'].fillna(-1).astype(int)\n",
        "\n",
        "# Crear la columna 'TotalPrice'\n",
        "df['TotalPrice'] = df['Quantity'] * df['UnitPrice']\n",
        "\n",
        "# Eliminar filas con cantidades negativas (devoluciones)\n",
        "df = df[df['Quantity'] > 0]\n",
        "\n",
        "# Mostrar información del dataframe para verificar cambios\n",
        "df.info()"
      ],
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        "colab": {
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        "id": "rhnSXRBRn0uk",
        "outputId": "53290002-a4a7-4abe-edcf-794b1513e8ab"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 531285 entries, 0 to 541908\n",
            "Data columns (total 9 columns):\n",
            " #   Column       Non-Null Count   Dtype         \n",
            "---  ------       --------------   -----         \n",
            " 0   InvoiceNo    531285 non-null  object        \n",
            " 1   StockCode    531285 non-null  object        \n",
            " 2   Description  530693 non-null  object        \n",
            " 3   Quantity     531285 non-null  int64         \n",
            " 4   InvoiceDate  531285 non-null  datetime64[ns]\n",
            " 5   UnitPrice    531285 non-null  float64       \n",
            " 6   CustomerID   531285 non-null  int64         \n",
            " 7   Country      531285 non-null  object        \n",
            " 8   TotalPrice   531285 non-null  float64       \n",
            "dtypes: datetime64[ns](1), float64(2), int64(2), object(4)\n",
            "memory usage: 40.5+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Paso 3: Crear Nuevas Columnas"
      ],
      "metadata": {
        "id": "Qa7sn0I8pvXy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Convertir 'InvoiceDate' a datetime\n",
        "df['InvoiceDate'] = pd.to_datetime(df['InvoiceDate'])\n",
        "\n",
        "# Rellenar valores nulos en 'CustomerID' con -1 y convertir a entero\n",
        "df['CustomerID'] = df['CustomerID'].fillna(-1).astype(int)\n",
        "\n",
        "# Crear la columna 'TotalPrice'\n",
        "df['TotalPrice'] = df['Quantity'] * df['UnitPrice']\n",
        "\n",
        "# Eliminar filas con cantidades negativas (devoluciones)\n",
        "df = df[df['Quantity'] > 0]\n",
        "\n",
        "# Mostrar información del dataframe para verificar cambios\n",
        "df.info()\n"
      ],
      "metadata": {
        "colab": {
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        },
        "id": "AO3KPDcLn8CV",
        "outputId": "609a70c2-f748-4c1f-8fed-5b9f9afe6ce4"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 531285 entries, 0 to 541908\n",
            "Data columns (total 9 columns):\n",
            " #   Column       Non-Null Count   Dtype         \n",
            "---  ------       --------------   -----         \n",
            " 0   InvoiceNo    531285 non-null  object        \n",
            " 1   StockCode    531285 non-null  object        \n",
            " 2   Description  530693 non-null  object        \n",
            " 3   Quantity     531285 non-null  int64         \n",
            " 4   InvoiceDate  531285 non-null  datetime64[ns]\n",
            " 5   UnitPrice    531285 non-null  float64       \n",
            " 6   CustomerID   531285 non-null  int64         \n",
            " 7   Country      531285 non-null  object        \n",
            " 8   TotalPrice   531285 non-null  float64       \n",
            "dtypes: datetime64[ns](1), float64(2), int64(2), object(4)\n",
            "memory usage: 40.5+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Paso 4: Análisis Descriptivo"
      ],
      "metadata": {
        "id": "UG6t9zUwpyi0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Crear columna 'YearMonth'\n",
        "df['YearMonth'] = df['InvoiceDate'].dt.to_period('M')\n",
        "\n",
        "# Crear columna 'DayOfWeek' para el análisis por día de la semana\n",
        "df['DayOfWeek'] = df['InvoiceDate'].dt.day_name()\n",
        "\n",
        "# Crear columna 'Hour' para el análisis por hora del día\n",
        "df['Hour'] = df['InvoiceDate'].dt.hour\n",
        "\n",
        "# Verificar las nuevas columnas\n",
        "df.head()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "FiKl-m6Jn_86",
        "outputId": "ffec701a-f921-483e-940d-c57ea5946aa8"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  InvoiceNo StockCode                          Description  Quantity  \\\n",
              "0    536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
              "1    536365     71053                  WHITE METAL LANTERN         6   \n",
              "2    536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
              "3    536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
              "4    536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
              "\n",
              "          InvoiceDate  UnitPrice  CustomerID         Country  TotalPrice  \\\n",
              "0 2010-12-01 08:26:00       2.55       17850  United Kingdom       15.30   \n",
              "1 2010-12-01 08:26:00       3.39       17850  United Kingdom       20.34   \n",
              "2 2010-12-01 08:26:00       2.75       17850  United Kingdom       22.00   \n",
              "3 2010-12-01 08:26:00       3.39       17850  United Kingdom       20.34   \n",
              "4 2010-12-01 08:26:00       3.39       17850  United Kingdom       20.34   \n",
              "\n",
              "  YearMonth  DayOfWeek  Hour  \n",
              "0   2010-12  Wednesday     8  \n",
              "1   2010-12  Wednesday     8  \n",
              "2   2010-12  Wednesday     8  \n",
              "3   2010-12  Wednesday     8  \n",
              "4   2010-12  Wednesday     8  "
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              "      <td>6</td>\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Paso 4: Análisis Descriptivo"
      ],
      "metadata": {
        "id": "Q8cNr8AbqJWC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Descripción estadística del dataset\n",
        "df.describe()\n",
        "\n",
        "# Cantidad de transacciones y ventas totales por año y mes\n",
        "sales_by_month = df.groupby('YearMonth')['TotalPrice'].sum().reset_index()\n",
        "transactions_by_month = df.groupby('YearMonth')['InvoiceNo'].nunique().reset_index()\n",
        "\n",
        "# Mostrar las ventas y transacciones por mes\n",
        "sales_by_month.head()\n",
        "transactions_by_month.head()\n",
        "\n",
        "# Visualización de ventas y transacciones por mes\n",
        "plt.figure(figsize=(14, 7))\n",
        "\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.plot(sales_by_month['YearMonth'].astype(str), sales_by_month['TotalPrice'], marker='o')\n",
        "plt.xticks(rotation=45)\n",
        "plt.title('Ventas Totales por Mes')\n",
        "plt.xlabel('Mes')\n",
        "plt.ylabel('Ventas Totales')\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.plot(transactions_by_month['YearMonth'].astype(str), transactions_by_month['InvoiceNo'], marker='o', color='orange')\n",
        "plt.xticks(rotation=45)\n",
        "plt.title('Número de Transacciones por Mes')\n",
        "plt.xlabel('Mes')\n",
        "plt.ylabel('Número de Transacciones')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 701
        },
        "id": "o0H5pjDHoB5g",
        "outputId": "b421ef2a-aa52-48c2-9d78-9b8c83b5d64c"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Paso 5: Análisis por País"
      ],
      "metadata": {
        "id": "V29l-LeOqM60"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Ventas totales por país\n",
        "sales_by_country = df.groupby('Country')['TotalPrice'].sum().reset_index()\n",
        "\n",
        "# Número de productos distintos vendidos por país\n",
        "unique_products_by_country = df.groupby('Country')['StockCode'].nunique().reset_index()\n",
        "\n",
        "# Mostrar las ventas y productos por país\n",
        "sales_by_country = sales_by_country.sort_values(by='TotalPrice', ascending=False)\n",
        "unique_products_by_country = unique_products_by_country.sort_values(by='StockCode', ascending=False)\n",
        "\n",
        "sales_by_country.head()\n",
        "unique_products_by_country.head()\n",
        "\n",
        "# Visualización de ventas por país (Top 10)\n",
        "plt.figure(figsize=(14, 7))\n",
        "plt.barh(sales_by_country['Country'].head(10), sales_by_country['TotalPrice'].head(10), color='skyblue')\n",
        "plt.title('Ventas Totales por País (Top 10)')\n",
        "plt.xlabel('Ventas Totales')\n",
        "plt.ylabel('País')\n",
        "plt.gca().invert_yaxis()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 650
        },
        "id": "oeEKGNYNoIBh",
        "outputId": "b51bb932-8464-403f-d017-a49796ade8df"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Paso 6: Análisis por Cliente"
      ],
      "metadata": {
        "id": "CYd-DAb2qN6y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Número de transacciones por cliente\n",
        "transactions_by_customer = df.groupby('CustomerID')['InvoiceNo'].nunique().reset_index()\n",
        "\n",
        "# Gasto total por cliente\n",
        "spending_by_customer = df.groupby('CustomerID')['TotalPrice'].sum().reset_index()\n",
        "\n",
        "# Mostrar las transacciones y gasto por cliente (Top 10)\n",
        "transactions_by_customer = transactions_by_customer.sort_values(by='InvoiceNo', ascending=False)\n",
        "spending_by_customer = spending_by_customer.sort_values(by='TotalPrice', ascending=False)\n",
        "\n",
        "transactions_by_customer.head()\n",
        "spending_by_customer.head()\n",
        "\n",
        "# Visualización de gasto por cliente (Top 10)\n",
        "plt.figure(figsize=(14, 7))\n",
        "plt.barh(spending_by_customer['CustomerID'].head(10).astype(str), spending_by_customer['TotalPrice'].head(10), color='lightcoral')\n",
        "plt.title('Gasto Total por Cliente (Top 10)')\n",
        "plt.xlabel('Gasto Total')\n",
        "plt.ylabel('ID del Cliente')\n",
        "plt.gca().invert_yaxis()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 650
        },
        "id": "r0XdSNunoKaq",
        "outputId": "7b10f5b9-6508-4c5b-ba88-77dbd3c07d6f"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Paso 7: Análisis por Hora y Día de la Semana"
      ],
      "metadata": {
        "id": "dBOtwUkRqUUk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Ventas totales por día de la semana\n",
        "sales_by_day_of_week = df.groupby('DayOfWeek')['TotalPrice'].sum().reset_index()\n",
        "\n",
        "# Ventas totales por hora del día\n",
        "sales_by_hour = df.groupby('Hour')['TotalPrice'].sum().reset_index()\n",
        "\n",
        "# Visualización de ventas por día de la semana\n",
        "plt.figure(figsize=(14, 7))\n",
        "plt.bar(sales_by_day_of_week['DayOfWeek'], sales_by_day_of_week['TotalPrice'], color='mediumseagreen')\n",
        "plt.title('Ventas Totales por Día de la Semana')\n",
        "plt.xlabel('Día de la Semana')\n",
        "plt.ylabel('Ventas Totales')\n",
        "plt.show()\n",
        "\n",
        "# Visualización de ventas por hora del día\n",
        "plt.figure(figsize=(14, 7))\n",
        "plt.plot(sales_by_hour['Hour'], sales_by_hour['TotalPrice'], marker='o', color='slateblue')\n",
        "plt.title('Ventas Totales por Hora del Día')\n",
        "plt.xlabel('Hora del Día')\n",
        "plt.ylabel('Ventas Totales')\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "EGRhVUvwoOMK",
        "outputId": "a35e46c9-7dea-4fac-aa52-1cda1129cbac"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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sWc2aNUs1atSwtickJKhcuXI2fR9//HEtW7ZMf/75p7744gu1b99eRYoUueXacPfIarxeH8BnyuqzgY+PjyIjI5WWlqa9e/fqgw8+0JAhQ/Ttt98yhpFjORmHXl5eslgsWrJkic1s40w+Pj6SpDJlyujtt99WRkaG/ve//2nmzJl69tlntXHjRlWqVIn3/ntQ5ilnv/zyi9zd3VWzZk1JUsWKFVW6dGnt2bNHe/futZ5m6+XlpWbNmmW5/pq7u7ukq58hpaufP8uWLWvdfv3rW055eXmpRYsW1hk/17r2Na5Lly7q0qWLYmJitGXLFr399tsqUKCAJk6cqNKlSystLc3mFN7MGq+1ceNG1axZU+PHj7e2/fTTT6b7LVSokDp37qwvvvhCwcHBOnDggPUUO+Qe5iTirhYYGKhdu3bZfGO5c+dOm6tYpaamKiMjw+bNPTExUVu3bjUdz93dXV26dNGKFSu0du1ade3aNUfhFe4ujz/+uFq2bKk+ffpkuT04OFhbtmyxueLEjh07FB8fr+Dg4Fu6r8DAQG3bts1mAe2NGzfa9Mn8EHntGD59+rT27t1rOl7p0qX14IMPWtfnYmHWu0tWHwRTUlL0zz//2ASc5cqVswmRpP87reJWuLq6qlatWtq8ebNN+6ZNm0w1SLZjdM+ePTp9+rTpmAEBAapZs6beeustHTx4kDEKlStXTkePHrVeCEOSaeHTnHBzc1PDhg01ePBgJSYm6ty5c4xh5FhOxmHmFftiY2MVEBBg+u/62Q8uLi4KDAzUqFGjdOXKFeuparz333vq16+v5ORkffrppwoICFCBAgVstn355Zc6f/686tevL+nqWlmZ61RdP84yr4Tq5+enQoUKmV7fvvrqK7tqDAkJ0aFDh1SrVi3Tffr6+pr6lyhRQo8//rhCQ0N15MgRSbKeQXJtTenp6fr6669t9k1JSTEFr2vXrs2yrieeeEIHDhzQ22+/rapVq6pBgwZ2PT5kj5lGuKv17dvXugDcoEGDFB8fr2nTptmsaVSsWDEFBARozpw51m8cZ8+eraJFi5q+eZSuvjAtWLBArq6uTO29RwUGBpoWSL3WkCFDFB4eroiICPXu3Vv//vuvJk+erMDAQOspQzk1ePBgdevWTcOHD1ePHj106tQpzZs3z2aKuq+vr8qVK6fJkycrIyNDSUlJioyMzPbS60888YQGDx4sT0/PLNftQP7VuXNntWzZUk2bNlWZMmUUHR2txYsX6+LFi+rbt6+1X9u2bbVgwQIFBATIx8dHa9asyXJRzJwYMmSIhg0bpjFjxqhDhw76/fff9eWXX9r0qVevngoXLqxx48Zp8ODBio6O1rRp02y++bzW448/rvHjx8vHx+eWg1bcfdq2bavPP/9cb775ph566CHt2bPHFOpk588//9S7776rDh06qFKlSkpMTNSsWbNUsWJF6ykcjGHkRE7GoY+Pj3r16qWXXnpJAwYMUN26dZWWlqZjx45p165d+uijj5SQkKABAwaoS5cu8vHxUVpamhYtWmRdG0bivf9eFBQUJBcXF23fvl2DBw+22VavXj3rhYAyX0/69euntWvX6sknn1SfPn1UoUIFxcTE6Ndff1XZsmXVr18/FS9eXOHh4ZozZ44KFSqkWrVqad26dTpx4oRdNY4cOVLdunXTgAED9MQTT6hUqVL6999/9dNPP6lBgwbq1KmTIiMjFRsbq4YNG6pkyZL666+/9N1331kvQlS9enW1bt1aEydO1OXLl+Xt7a0lS5aYZvE1adJE48eP14wZMxQUFKTt27dr586dWdZVo0YNBQQEaPfu3Xr++eftemy4MWYa4a5WpkwZzZkzRykpKXrmmWc0Z84cjR071jSVfPLkyapcubJGjx6tt956S23btrW5isW1qlevrqpVqyo0NDTbD4u4t9WpU0effPKJLl26pKefflrvvfeeHnzwQc2ZM8dmUcucqFWrlqZOnaqjR49qxIgRWrlypaZMmWKdeixdnQE3bdo0ubu765lnnlFkZKSGDh2a7amTTZs2lYeHhzp27GjzART534gRI3Tu3Dm988476tevn9555x0VKVJE8+fPtzl9YdiwYerUqZNmzJihF198URUqVMh25tzNtGrVSuPGjdPOnTs1fPhw7dixQx9++KFNn1KlSmnq1KmKiYnRsGHDtGDBAo0bNy7LNeckWRfI5NtwSFcXt37xxRe1detWDR8+XIcOHbK5qs6NlC5dWqVKldKsWbM0aNAgjR07VuXLl9cnn3xifT1mDCMncjoOX3vtNY0aNUrr16/X4MGD9dJLL2nDhg3W9+SCBQvKz89PixYt0tChQ/XSSy/JMAzNmzfPurYW7/33Hk9PT1WvXl2GYVjXM8oUFBQkwzBUpkwZ62mF9913n5YtW6aaNWvq/fffV//+/fX222/r9OnTCgwMtO77/PPPKzw8XHPnztWoUaOsbfaoUqWKVqxYoeLFi2vcuHEaMGCA3n//fSUnJ1tnNwUEBOjIkSMaN26c+vfvr/nz52vAgAE2V5+cOHGiwsLC9P777+ull16Sj4+PzRdbkhQeHq7+/ftr8eLFGjFihP755x9Nnjw529pat24tV1fXbP9+w+2xGNfOsQRwUydOnFCbNm00depUvqlBvrRz507169dPK1euVJ06dRxdDmDy+eef6/XXX9c333xjXZMByE8Yw3A2vPfjbtarVy8VK1ZMH3/8saNLuStxehqQQxcvXtTRo0c1Y8YMVahQQa1atXJ0ScAtiY6O1okTJ/Tee++pfv36fGiE0zl16pSOHz+ujz76SO3bt+ePbeQ7jGE4G977cTf77bff9Msvv+jnn3/Wf//7X0eXc9fi9DQgh7Zt26aePXvq1KlTeu+992wWqAPyg+XLl1tPQXrrrbccXA1gNn36dEVERKhixYoaPXq0o8sBbhljGM6G937czbp166bp06dr2LBhatKkiaPLuWtxehoAAAAAAABMmGkEAAAAAAAAE0IjAAAAAAAAmBAaAQAAAAAAwITQCAAAAAAAACaERgAAwOmtWLFCn332maPLAAAAuKcQGgEAAKf2/fff6/XXX5ePj88du4/Ro0crLCws1443bdo0+fv759rxAAAAHKGAowsAAAD3hi+++EJjxoyx3nZ3d5eXl5f8/f3VokULde3aVUWLFrXZJykpSWPHjtXTTz+tRo0a5XXJTuXnn3/Wxx9/rIMHDyo2NlYlS5ZUjRo11LFjR3Xu3NnR5QEAgLsQoREAAMhTI0eOlLe3t65cuaJ///1XP/30kyZOnKj58+fro48+Uo0aNax9P/jgA/n6+mrIkCEOrNjxNmzYoGeffVY1a9ZUnz595OXlpVOnTmn37t1avnw5oREAALgjCI0AAECeat68uQICAqy3IyIitHPnTg0ZMkTDhg3T+vXrVahQIUnSa6+95qgyncr06dNVvXp1LVu2TO7u7jbbLly44KCqAADA3Y41jQAAgMOFhIRo2LBhOn36tNasWWNtz2ptoJUrV6pPnz4KCQlRnTp11KFDBy1ZsiTH9/X111+rU6dOCggIUKdOnbR58+Ys+2VkZGj+/Pnq2LGjAgIC1KRJE40dO1ZxcXF2PcbbqfvEiRMKCAgwBUaSVLJkSbvqDgsLU0REhHbt2qWuXbsqMDBQnTt31q5duyRJX331lTp37qyAgAB17dpVf/zxh83+f/75p0aPHq1WrVopICBAoaGhGjNmjC5evGjTL/N3ePz4cY0ePVoNGjRQcHCwxowZo+Tk5Fx7jgAAQO5jphEAAHAKXbp00QcffKDvv/9eTzzxRLb9li5dqvvvv19hYWEqUKCAtm3bpnHjxskwDPXq1euG9/H999/r6aefVvXq1fX888/r4sWLGjNmjMqVK2fqO3bsWK1atUpdu3ZV7969derUKX366af6448/tHTpUrm5ud3S47uduitUqKCdO3fq7NmzWdZqb93Hjx/X888/r/DwcD388MP65JNPNGTIEI0bN05TpkxRjx49JEmzZ8/WqFGjtHHjRrm4XP3O8YcfftDJkyfVtWtXlS5dWocOHdLy5cv1999/a/ny5bJYLDZ1jRo1St7e3nruuef0xx9/aMWKFSpRooRefPHFXHmOAADAHWAAAADkgZUrVxp+fn7G/v37s+0THBxsPPLII9bbkZGRhp+fn02f5ORk0379+/c3WrVqddMaunTpYoSGhhrx8fHWtu+//97w8/MzWrZsaW3bvXu34efnZ6xZs8Zm/2+//TbL9uvldt0rVqww/Pz8jNq1axu9e/c2PvzwQ2P37t1Genq6Tb9bqbtly5aGn5+fsWfPHmvbd999Z/j5+RmBgYHG6dOnre2fffaZ4efnZ/z44483fDxRUVGGn5+fsXv3bmtb5nMxZswYm77Dhw83GjZsaNN2O88RAADIfZyeBgAAnEbhwoV16dKlG/bJXO9IkhISEhQTE6OGDRvq5MmTSkhIyHa/c+fO6cCBA3r00UdVrFgxa3toaKiqV69u03fjxo0qVqyYQkNDFRMTY/2vdu3aKly4sPUUrlthb92S1K1bN82dO1eNGjXSnj179NFHH6lXr15q06aN9uzZY3fd1atXV1BQkPV23bp1JUmNGzdWhQoVTO0nT57M8vFcvnxZMTEx1n6///676TGEh4fb3G7QoIFiY2OVmJiYK88RAADIfZyeBgAAnEZSUpJpjZ7r/fLLL5o2bZr27dtnWhMnISHBJhC61pkzZyRJVapUMW3z8fGxWbPn+PHjSkhIUEhISJbHsmfxaXvrztSsWTM1a9ZMycnJ+v3337V+/Xp99tlnGjJkiDZs2KCSJUvect3ly5e3uZ1Zw/WnwBUtWlSSFB8fb22LjY3V9OnTtX79etNxswp4rg2hJMnT01OSFBcXZz3+7T5HAAAgdxEaAQAAp3D27FklJCSocuXK2fY5ceKE+vXrJ19fX40ePVrly5eXm5ubtm/frvnz5ysjIyNXasnIyFDJkiX1/vvvZ7m9RIk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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Paso 7: Insigths"
      ],
      "metadata": {
        "id": "iIwcF6iCrhq7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Máximo y mínimo de ventas por país\n",
        "max_sales_country = sales_by_country.iloc[0]\n",
        "min_sales_country = sales_by_country.iloc[-1]\n",
        "\n",
        "print(\"País con las ventas totales más altas:\")\n",
        "print(max_sales_country)\n",
        "print(\"\\nPaís con las ventas totales más bajas:\")\n",
        "print(min_sales_country)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b5nyx0RIrc7S",
        "outputId": "a212415e-dad4-43ef-8b36-3dd64ba4a4fd"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "País con las ventas totales más altas:\n",
            "Country       United Kingdom\n",
            "TotalPrice       9003097.964\n",
            "Name: 36, dtype: object\n",
            "\n",
            "País con las ventas totales más bajas:\n",
            "Country       Saudi Arabia\n",
            "TotalPrice          145.92\n",
            "Name: 29, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Máximo y mínimo de gasto por cliente\n",
        "max_spending_customer = spending_by_customer.iloc[0]\n",
        "min_spending_customer = spending_by_customer.iloc[-1]\n",
        "\n",
        "print(\"\\nCliente con el gasto total más alto:\")\n",
        "print(max_spending_customer)\n",
        "print(\"\\nCliente con el gasto total más bajo:\")\n",
        "print(min_spending_customer)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UZVJJgG1rkEw",
        "outputId": "ad670dd9-5f1e-4c6c-d562-ce7cf6a20f0a"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Cliente con el gasto total más alto:\n",
            "CustomerID         -1.00\n",
            "TotalPrice    1733152.52\n",
            "Name: 0, dtype: float64\n",
            "\n",
            "Cliente con el gasto total más bajo:\n",
            "CustomerID    13256.0\n",
            "TotalPrice        0.0\n",
            "Name: 686, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Máximo y mínimo de número de transacciones por cliente\n",
        "max_transactions_customer = transactions_by_customer.iloc[0]\n",
        "min_transactions_customer = transactions_by_customer.iloc[-1]\n",
        "\n",
        "print(\"\\nCliente con el mayor número de transacciones:\")\n",
        "print(max_transactions_customer)\n",
        "print(\"\\nCliente con el menor número de transacciones:\")\n",
        "print(min_transactions_customer)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kFmAcxjSrmj0",
        "outputId": "7d7e4274-5e5c-4df1-e9dc-dadc721c1087"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Cliente con el mayor número de transacciones:\n",
            "CustomerID      -1\n",
            "InvoiceNo     2192\n",
            "Name: 0, dtype: int64\n",
            "\n",
            "Cliente con el menor número de transacciones:\n",
            "CustomerID    13737\n",
            "InvoiceNo         1\n",
            "Name: 1031, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Ventas totales por día de la semana\n",
        "sales_by_day_of_week = df.groupby('DayOfWeek')['TotalPrice'].sum().reset_index()\n",
        "max_sales_day = sales_by_day_of_week[sales_by_day_of_week['TotalPrice'] == sales_by_day_of_week['TotalPrice'].max()]\n",
        "min_sales_day = sales_by_day_of_week[sales_by_day_of_week['TotalPrice'] == sales_by_day_of_week['TotalPrice'].min()]\n",
        "\n",
        "print(\"\\nDía de la semana con las ventas más altas:\")\n",
        "print(max_sales_day)\n",
        "print(\"\\nDía de la semana con las ventas más bajas:\")\n",
        "print(min_sales_day)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-zhPpio_rpB3",
        "outputId": "54552a57-a9e0-44c8-f1ce-17ad2a0ac105"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Día de la semana con las ventas más altas:\n",
            "  DayOfWeek  TotalPrice\n",
            "3  Thursday  2203161.24\n",
            "\n",
            "Día de la semana con las ventas más bajas:\n",
            "  DayOfWeek  TotalPrice\n",
            "2    Sunday  813827.611\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Ventas totales por hora del día\n",
        "sales_by_hour = df.groupby('Hour')['TotalPrice'].sum().reset_index()\n",
        "max_sales_hour = sales_by_hour[sales_by_hour['TotalPrice'] == sales_by_hour['TotalPrice'].max()]\n",
        "min_sales_hour = sales_by_hour[sales_by_hour['TotalPrice'] == sales_by_hour['TotalPrice'].min()]\n",
        "\n",
        "print(\"\\nHora del día con las ventas más altas:\")\n",
        "print(max_sales_hour)\n",
        "print(\"\\nHora del día con las ventas más bajas:\")\n",
        "print(min_sales_hour)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QM5WHzIorqxd",
        "outputId": "6e15d8e9-e44f-4607-9d61-c4b6128f6822"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Hora del día con las ventas más altas:\n",
            "   Hour   TotalPrice\n",
            "4    10  1446742.701\n",
            "\n",
            "Hora del día con las ventas más bajas:\n",
            "   Hour  TotalPrice\n",
            "0     6        4.25\n"
          ]
        }
      ]
    }
  ]
}