data_analysis.ipynb

{
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  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "**Data Analysis**\n",
        "---\n",
        "Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. It is done after data exploration and cleaning. When we do data analysis we answer questions corresponding to our dataset."
      ],
      "metadata": {
        "id": "3uv1oCkR3nAo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Load in some packages\n",
        "import calendar\n",
        "import warnings\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from itertools import combinations\n",
        "from collections import Counter\n",
        "\n",
        "warnings.filterwarnings(\"ignore\")"
      ],
      "metadata": {
        "id": "CD1tkoUb3kIw"
      },
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "After we cleaned the data it is important to be able to answer some questions related to the data. In this part we will use graphs and group_by function in order to successfully answer them. The questions we need to answer is the following:\n",
        "\n",
        "\n",
        "1.   What was the best month for sales? How much was earned that month?\n",
        "2.   Which city had the highest number of sales?\n",
        "3.   What time should we display advertisements to maximize likelihood of customer's buying product?\n",
        "4.   What products are most often sold together?\n",
        "5.   What product sold the most? Why do you think it sold the most?\n",
        "\n",
        "\n",
        "We'll start by reading in the already cleaned data:"
      ],
      "metadata": {
        "id": "atQ08V6C4kUH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv('./datasets/processed/sales.csv') # Read the data"
      ],
      "metadata": {
        "id": "l-9YbA4p4k8f"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now that we have our cleaned data we can start answering our questions. We will mostly use Pandas groupby() function, which is used for grouping the data according to the categories and applying a function to the categories. It also helps to aggregate data efficiently. The Pandas groupby() is a very powerful function with a lot of variations. It makes the task of splitting the Dataframe over some criteria really easy and efficient."
      ],
      "metadata": {
        "id": "3H30Ujdk49h-"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **1.   What was the best month for sales? How much was earned that month?**"
      ],
      "metadata": {
        "id": "5emDzL5N6Ld-"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In order to answer this question we need to get all unique months and all sales for each unique month:"
      ],
      "metadata": {
        "id": "GmjMdREQ6NKe"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "unique_Months = data['Month'].apply(lambda x: calendar.month_abbr[x]).unique() # Take all 12 months' names\n",
        "Sales_by_month = data.groupby('Month').sum()['Sales'] # Take the highest number of sales for each month"
      ],
      "metadata": {
        "id": "K6NCVVT1ngMY"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's see which month had the highest number of sales with a bar graph:"
      ],
      "metadata": {
        "id": "XF0tv6tbniUn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the highest number of sales for each month\n",
        "plt.bar(unique_Months, Sales_by_month)\n",
        "plt.xticks(unique_Months)\n",
        "plt.ylabel('Sales in USD ($)')\n",
        "plt.xlabel('Month')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465
        },
        "id": "WvBtki5Onj-p",
        "outputId": "f92aadc4-a980-4306-e798-bc42808c8fb3"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We see that in December we had the most sales, which is reasonable because of Christmas and massive number of presents exchanged."
      ],
      "metadata": {
        "id": "N-UlpQzrnsI2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **2.   Which city had the highest number of sales?**"
      ],
      "metadata": {
        "id": "WyqmC95znvqW"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In order to answer this question we need to get all unique cities and the number of sales of each city:"
      ],
      "metadata": {
        "id": "TFvaXi_foIO-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Sales_by_city = data.groupby('City').sum()['Sales'] # Take the number of sales for each city\n",
        "unique_Cities = data.groupby('City').sum().index # Take all cities"
      ],
      "metadata": {
        "id": "NsKov0wvoGjO"
      },
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's see which city had the highest number of sales with a bar graph:"
      ],
      "metadata": {
        "id": "aQRvUr9RoZVe"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the highest number of sales for each city\n",
        "plt.bar(unique_Cities, Sales_by_city)\n",
        "plt.xticks(unique_Cities, rotation = 90, size = 8)\n",
        "plt.ylabel('Sales in USD ($)')\n",
        "plt.xlabel('Cities')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 558
        },
        "id": "LRcA1w0AoZ3e",
        "outputId": "e650a9de-91a7-42aa-d632-88bf73dfb0f3"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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qVauWpk2bpg8//NDhb+7v72//2tvbW5UqVVL+/Pm1aNEidezYMdrx/fv3V+/eve3PQ0JC5O7u7vD3AwAAzsXhSz9Lly7V4MGDo5UUSSpWrJgGDhyoJUuWPFeYzJkzq2jRojp9+nSM+11dXeXm5hblAQAAXlwOF5WjR4+qVq1ase738/PT0aNHnytMaGiozpw5ozx58jzX6wAAgBeDw0Xl7t27ypYtW6z7s2XLpuDg4AR98759+2rz5s06d+6cduzYoaZNmypVqlRq1apVgl4HAAC8mBweoxIREaFUqVLFut/FxUXh4eEJ+uYXL15Uq1atdOvWLeXIkUPVqlXTrl27lCNHjgS9DgAAeDE5XFQMw1CdOnVinZDt6dOnCf7mCxcuTPD/BwAApBwOF5WhQ4fGe0zz5s2fKwwAAMDfJWpRAQAASEzPPYX+5s2bdf/+ffn6+ipLliyJkQkAAEBSAorK2LFjFRoaqhEjRkh6NmbF399ff/zxhyQpZ86cWr9+vUqWLJk0SQEAQIrj8O3JP//8s7y8vOzPlyxZoi1btmjr1q26efOmypcvz/T2AAAgUTlcVM6ePStvb2/7899//10tWrRQ1apVlTVrVg0aNEg7d+5MkpAAACBlcrioPH36VK6urvbnO3fuVJUqVezP8+bNq5s3byZuOgAAkKI5PEalUKFC2rJliwoWLKgLFy7o5MmTqlGjhn3/xYsX45y5FgASg0e/lWZHiObcmIZmRwBeWA4Xle7du6tHjx7aunWrdu3aJV9fX5UoUcK+f8OGDfLx8UmSkAAAIGVyuKh07txZqVKl0vLly1WjRo1o86pcvnxZHTp0SPSAAAAg5UrQPCodOnSItYx89913iRIIAAAgksNF5dChQzFuz5Qpk1599VXZbLZECwUAACAloKiUKVNGNptNhmFE2W6z2ZQ2bVr16tVLw4cPj3OFZQAAgIRwuKicPXs2xu13797V/v37NXjwYGXJkkV9+/ZNtHAAACBlc7io5M+fP9btpUuXlpubm4YNG0ZRAQAAicbhCd/iU65cuVjPugAAAPwbiVZUrl69qhw5ciTWywEAACROUblx44YGDx4sPz+/xHg5AAAASQkYo+Lj4xPjLcjBwcG6ePGiPD09NW/evEQNBwAAUjaHi0qTJk1i3O7m5iZPT0+99tpr3JoMAAASlcNF5Z9T5gMAACS1RBtMCwAAkNgoKgAAwLIoKgAAwLIoKgAAwLIoKgAAwLIcvusnUnh4uGbPnq3169fr+vXrioiIiLJ/w4YNiRYOAACkbAkuKh999JFmz56thg0bysvLK8ZJ4AAAABJDgovKwoULtWjRIr3++utJkQcAAMAuwWNU0qRJo8KFCydFFgAAgCgSXFT69OmjyZMnyzCMpMgDAABgl+BLP9u2bdPGjRu1atUqlSxZUi+99FKU/UuXLk20cAAAIGVL8BmVzJkzq2nTpqpZs6ayZ8+uTJkyRXn8W2PGjJHNZlOvXr3+9WsAAIAXS4LPqMyaNSvRQ+zdu1cBAQHy9vZO9NcGAADOy/QJ30JDQ9W6dWtNnz5dWbJkifPYsLAwhYSERHkAAIAXl0NnVMqWLav169crS5Ys8vHxiXPulAMHDiQoQPfu3dWwYUPVrVtXX3zxRZzHjh49WsOGDUvQ6wMAAOflUFFp3LixXF1dJUlNmjRJtG++cOFCHThwQHv37nXo+P79+6t379725yEhIXJ3d0+0PAAAwFocKipDhw6N8evnERQUpI8++khr165V2rRpHfr/uLq62gsTAAB48SV4MG1i2b9/v65fv66yZcvat4WHh2vLli2aMmWKwsLClCpVKrPiAQAACzCtqNSpU0eHDx+Osq19+/YqVqyYPvvsM0oKAAAwr6hkzJhRXl5eUbalT59e2bJli7YdAACkTKbfngwAABCb5z6jEh4ersOHDyt//vzxzoMSn02bNj1vHAAA8AJJ8BmVXr16acaMGZKelZSaNWuqbNmycnd3p2gAAIBEleCismTJEpUuXVqStHz5cp09e1bHjx/Xxx9/rIEDByZ6QAAAkHIluKjcvHlTuXPnliT9/vvveuutt1S0aFF16NAh2l08AAAAzyPBRSVXrlw6evSowsPDtXr1atWrV0+S9ODBA24pBgAAiSrBg2nbt2+vt99+W3ny5JHNZlPdunUlSbt371axYsUSPSAAAEi5ElxUPv/8c3l5eSkoKEhvvfWWfUr7VKlSqV+/fokeEAAApFz/6vbkFi1aSJIePXpk39a2bdvESQQAAPB/ElxUwsPDNWrUKE2bNk3Xrl3TyZMnVbBgQQ0ePFgeHh7q2LFjUuRECuDRb6XZEaI5N6ah2REAIEVL8GDakSNHavbs2Ro3bpzSpElj3+7l5aUffvghUcMBAICULcFFZe7cufr+++/VunXrKHf5lC5dWsePH0/UcAAAIGVLcFG5dOmSChcuHG17RESEnjx5kiihAAAApH9RVEqUKKGtW7dG275kyRL5+PgkSigAAADpXwymHTJkiNq2batLly4pIiJCS5cu1YkTJzR37lytWLEiKTICAIAUKsFnVBo3bqzly5dr3bp1Sp8+vYYMGaJjx45p+fLl9llqAQAAEsO/mkelevXqWrt2bWJnAQAAiCLBZ1QAAACSi0NnVLJkySKbzebQC96+ffu5AgEAAERyqKhMmjQpiWMAAABE51BRYR0fAABghn81mDbSo0eP9Pjx4yjb3NzcnisQAABApAQPpr1//7569OihnDlzKn369MqSJUuUBwAAQGJJcFH59NNPtWHDBk2dOlWurq764YcfNGzYMOXNm1dz585NiowAACCFSvCln+XLl2vu3LmqVauW2rdvr+rVq6tw4cLKnz+/5s+fr9atWydFTgAAkAIl+IzK7du3VbBgQUnPxqNE3o5crVo1bdmyJXHTAQCAFC3BRaVgwYI6e/asJKlYsWJatGiRpGdnWjJnzpyo4QAAQMqW4KLSvn17HTx4UJLUr18/ffvtt0qbNq0+/vhjffLJJ4keEAAApFwJHqPy8ccf27+uW7eujh07pgMHDqhw4cLy9vZO1HAAACBle655VCTJw8NDHh4eiRAFAAAgKocv/ezcuVMrVqyIsm3u3LkqUKCAcubMqQ8++EBhYWGJHhAAAKRcDheV4cOH63//+5/9+eHDh9WxY0fVrVtX/fr10/LlyzV69OgkCQkAAFImh4tKYGCg6tSpY3++cOFCVapUSdOnT1fv3r319ddf2+8AAgAASAwOF5U7d+4oV65c9uebN2+Wv7+//XmFChUUFBSUoG8+depUeXt7y83NTW5ubvL19dWqVasS9BoAAODF5XBRyZUrl33+lMePH+vAgQOqXLmyff+9e/f00ksvJeib58uXT2PGjNH+/fu1b98+1a5dW40bN45yiQkAAKRcDheV119/Xf369dPWrVvVv39/vfzyy6pevbp9/6FDh1SoUKEEffNGjRrp9ddfV5EiRVS0aFGNHDlSGTJk0K5duxL0OgAA4MXk8O3JI0aMULNmzVSzZk1lyJBBc+bMUZo0aez7Z86cqfr16//rIOHh4Vq8eLHu378vX1/fGI8JCwuLcmdRSEjIv/5+AADA+hwuKtmzZ9eWLVsUHBysDBkyKFWqVFH2L168WBkyZEhwgMOHD8vX11ePHj1ShgwZ9Msvv6hEiRIxHjt69GgNGzYswd8DAAA4pwRPoZ8pU6ZoJUWSsmbNGuUMi6M8PT0VGBio3bt3q2vXrmrbtq2OHj0a47H9+/dXcHCw/ZHQwbsAAMC5PPfMtM8rTZo0Kly4sCSpXLly2rt3ryZPnqyAgIBox7q6usrV1TW5IwIAAJMk+IxKUouIiGCGWwAAIMnkMyr9+/eXv7+/Xn31Vd27d08//fSTNm3apDVr1pgZCwAAWISpReX69et6//33deXKFWXKlEne3t5as2aN6tWrZ2YsAABgEaYWlRkzZpj57QEAgMVZbowKAABAJIoKAACwLNNvT7Yyj34rzY4QzbkxDc2OAABAsqGoAM+JQgsASYeiAgCARfCHT3SMUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZFUQEAAJZlalEZPXq0KlSooIwZMypnzpxq0qSJTpw4YWYkAABgIaYWlc2bN6t79+7atWuX1q5dqydPnqh+/fq6f/++mbEAAIBFpDbzm69evTrK89mzZytnzpzav3+/atSoYVIqAABgFaYWlX8KDg6WJGXNmjXG/WFhYQoLC7M/DwkJSZZcAADAHJYZTBsREaFevXqpatWq8vLyivGY0aNHK1OmTPaHu7t7MqcEAADJyTJFpXv37jpy5IgWLlwY6zH9+/dXcHCw/REUFJSMCQEAQHKzxKWfHj16aMWKFdqyZYvy5csX63Gurq5ydXVNxmQAAMBMphYVwzD04Ycf6pdfftGmTZtUoEABM+MAAACLMbWodO/eXT/99JN+/fVXZcyYUVevXpUkZcqUSenSpTMzGgAAsABTi8rUqVMlSbVq1YqyfdasWWrXrl3yBwIAROHRb6XZEaI5N6ah2RGQjEy/9AMAABAbSwymReLiLyAAwIvCMrcnAwAA/BNFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWBZFBQAAWJapRWXLli1q1KiR8ubNK5vNpmXLlpkZBwAAWIypReX+/fsqXbq0vv32WzNjAAAAi0pt5jf39/eXv7+/w8eHhYUpLCzM/jwkJCQpYgEAAItwqjEqo0ePVqZMmewPd3d3syMBAIAk5FRFpX///goODrY/goKCzI4EAACSkKmXfhLK1dVVrq6uZscAAADJxKnOqAAAgJSFogIAACzL1Es/oaGhOn36tP352bNnFRgYqKxZs+rVV181MRkAALACU4vKvn375OfnZ3/eu3dvSVLbtm01e/Zsk1IBAACrMLWo1KpVS4ZhmBkBAABYGGNUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZVFUAACAZaU2OwAApAQe/VaaHSGac2Mamh0BiBdnVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVRVAAAgGVZoqh8++238vDwUNq0aVWpUiXt2bPH7EgAAMACTC8qP//8s3r37q2hQ4fqwIEDKl26tF577TVdv37d7GgAAMBkpheViRMnqnPnzmrfvr1KlCihadOm6eWXX9bMmTPNjgYAAEyW2sxv/vjxY+3fv1/9+/e3b3NxcVHdunW1c+fOaMeHhYUpLCzM/jw4OFiSFBISkiT5IsIeJMnrPg9H/q3kTjzkTl7kTl7kTl4vcu5/+5qGYcR/sGGiS5cuGZKMHTt2RNn+ySefGBUrVox2/NChQw1JPHjw4MGDB48X4BEUFBRvVzD1jEpC9e/fX71797Y/j4iI0O3bt5UtWzbZbDYTk8UuJCRE7u7uCgoKkpubm9lxHEbu5EXu5EXu5EXu5OUMuQ3D0L1795Q3b954jzW1qGTPnl2pUqXStWvXomy/du2acufOHe14V1dXubq6RtmWOXPmpIyYaNzc3Cz7hokLuZMXuZMXuZMXuZOX1XNnypTJoeNMHUybJk0alStXTuvXr7dvi4iI0Pr16+Xr62tiMgAAYAWmX/rp3bu32rZtq/Lly6tixYqaNGmS7t+/r/bt25sdDQAAmMz0ovLOO+/oxo0bGjJkiK5evaoyZcpo9erVypUrl9nREoWrq6uGDh0a7ZKV1ZE7eZE7eZE7eZE7eTlr7tjYDMORe4MAAACSn+kTvgEAAMSGogIAACyLogIAACyLogIAACyLogIAACzL9NuTX2ShoaG6fPmy0qVLJ3d3d7PjOOzo0aO6ePGi0qVLp1KlSjnF7L/37t3T1q1b7blLly4tb29vs2PFy9lyG4ahP/74Q+vXr4+SuWnTpk7xHnfW9/ZPP/0U7WfeokULValSxex4sXLW98qZM2c0ffp0bdiwIdrP++2331bq1Nb9telsnyeO4vbkRBYREaE5c+YoICBAhw4dUpYsWfTo0SO5uLioadOm6tOnjzw9Pc2OGc29e/c0fvx4TZ8+XS+//LJy5cqlR48e6cyZM6pYsaI+++wz1alTx+yY0Zw/f15DhgzRqlWrVKpUKeXOnVuPHj3SsWPHFBERoU8//VQdOnQwO2Y0zph7wYIF+vzzz1W4cGFVrlw5Sub169erUqVKGjduXIzLX5jJWd/bkjR69GjNmDFDr732WrSf+erVqxUeHq6AgAAVK1bM7KhROOt7pUuXLjpw4IDeeust+fr6Rvt5HzhwQNOmTVPlypXNjhqFM36eJMjzr4GMv6tYsaLx8ccfG7t37zaePn1q337t2jVj9uzZRvXq1Y0FCxaYmDBm5cqVMyZPnmxcvXo1yvbw8HBj06ZNRsuWLY1p06aZlC521atXN3799VfjyZMn0fadPXvW6Nevn/HNN9+YkCxuzpi7b9++xvXr12Pdv3r1amPRokXJmMgxzvreNgzDmDJlivH48eNY9x89etT4448/kjGRY5z1vbJixYo499+8edPYvXt3MqVxnDN+niQEZ1QS2fXr15UzZ87nPia5hYWFxTuLoSPHIGV6+vSpZU+J895GYggMDFSZMmXMjpEiMZg2kcVWQG7duqVJkybFeYyZ7t27F+u+/fv3S5LTfJBHRERo+fLlatKkidlRYnXixIlY9y1btiz5gjyno0ePqnfv3nrllVfMjhKrTz75RGFhYXEeY9X39ujRo+1fL168OMq+Pn36JHec53bw4EE1btzY7BgOCw4O1nfffaeyZcvK39/f7DgJ4gyfg46iqCSxNWvW6O2331aBAgW0bds2s+PEqkyZMvrll1+ibHv69KkGDhzoNG/0U6dOqV+/fnJ3d9eoUaMsO+5Akvz8/PTVV19F2Xbnzh21bt1agwYNMimVY0JDQ/XDDz+ocuXK8vHxkaurq9atW2d2rFg9ffpUZcqU0Z49e8yOkmB/Lyd/Ly2StHHjxuSO47DTp0+rYcOGKlWqlEaNGqU7d+6oZcuWqlGjhsqXL292vHht3LhRrVu3loeHhz777DONGjVKFy9eNDuWQ5zpc9BhZl97ehGdO3fOGDx4sPHqq68a5cuXN7Jnz27cvXvX7FhxOnDggFGqVCnj3XffNW7fvm3s27fP8PLyMlq2bGncvHnT7HixevDggTFnzhyjevXqRp48eYy+ffsa+fLlMztWvIKCgoz69esb1apVM86cOWMsW7bMeOWVV4x+/foZYWFhZseL0bZt24z27dsbmTNnNpo3b26sWLHCyJ8/v9mxHLJu3TqjUKFCxsCBA43bt28bwcHB9oeVlSlTJsavY3puJbVr1zb69u1rrFq1yvjggw+MIkWKGA0bNjQuX75sdrQ4ffHFF0ahQoWMMmXKGN98841x8+ZNw8PDw+xY8XLWz0FHUVQSWd26dY2cOXMavXr1Mg4dOmQYhuEUb3TDMIywsDCjd+/eRo4cOYw8efIYS5YsMTtSvNzc3IwaNWoYy5Ytsw8kK1CggMmpHDd69GjD1dXVyJcvnyUH6f2dzWYz6tWrZ1y5csW+zZl+1n/99ZeROXNmw8XFxXBxcTFsNpvh4uJidqw4+fj4xPh1TM+txMvLy/51eHi4kTVrVuPhw4cmJnKMi4uLUa9ePePYsWP2bc7wHnf2z8H4cOknkZ0+fVqvvPKKPD095eHhIUmy2WzmhnLQmTNntHnzZpUtW1Y2m01BQUFmR4pXkyZNdOTIES1YsMDSp8Jjsn79egUEBKhdu3ZKmzat5s+fr0ePHpkdK1YzZszQw4cPVaFCBQ0cOFCnTp0yO5LDli1bJj8/P/Xr109PnjxReHi4IiIiFB4ebna0OF28eFG9e/dW7969o3z98ccf69KlS2bHi9VLL71k/9rFxUX58+dX2rRpTUzkmNOnT6tSpUqqV6+eqlSpoh9++MHy7xHJuT8HHcFdP0lg/fr1mjFjhtasWSN/f39t2LBBly9fNjtWnL788ktNnjxZ48ePV8uWLXX58mV16tRJoaGhmjNnjgoUKGB2xFjdu3dPCxYs0IwZM3TlyhWFhoZq9+7dKlKkiNnRYtW9e3etW7dOM2fOVNWqVXX//n316dNHGzdu1OzZs+Xr62t2xFidOHFCM2fO1Ny5cxUcHKzJkyerRYsWypIli9nRYtS6dWsdO3ZMc+bMUalSpcyOkyDDhg2Lc//QoUOTKUnCZM6cWbVr17Y/37BhQ5TnS5cuNSOWwyIiIrRmzRrNmDFDK1euVNOmTdW6dWs1bNjQ7GixcsbPQUdRVJLQnTt3NH/+fM2YMUM3b95Uq1atNG7cOLNjxeiNN97QDz/8EG0CpoCAAA0bNszyRSvS4cOHNWPGDM2fP18eHh7au3ev2ZFi1KNHD40bN04vv/xylO1r1qxRly5ddO7cOXOCJUB4eLhWrFihGTNmaMOGDQoNDTU7UowGDRqkoUOHRvkrH0lrzpw5ce5v27ZtMiV5fjdv3tScOXM0a9YsHTlyxOw4DnGWz0FHUVSSyf79+zVz5kx9++23ZkeJ0ebNm1WzZs0Y9507d85+GctZPHnyRMuWLdNbb71ldpQYLViwQK1atYpxX3BwsDJlypTMieIXHh6usLCwaOXq/v37un37tqWnRXdWv/32W5z733zzzWRKkjJcvHhRV69ejXZn0t69e5UnTx7ly5fPpGRxGzp0qGrXri1fX1+lSZPGvv3x48f69ddfLfs56CiKShI7duyYnjx5IkkqWrSoZa/Tli1bVgcOHDA7RoI56we5M/68P/30UxUuXFgffPBBlO3Tp0/X6dOnNXbsWJOSxc3FxSXKODHDMOzPbTabnj59ala0eLm4uMjb21tZs2bVPz+qbTabNmzYYFKy+B09elTjxo2zz8NUtmxZffrppypZsqTJyWLXunVrderUSX5+flG2b9q0ST/88IPmzZtnUrK4de3aVRs3blRQUJB8fX3l5+en2rVrq2LFikqVKpXZ8Z4bRSWRjRo1SiEhIRozZowkKV++fHrppZcUHh6ubt26qV+/fiYnjJmPj4/+/PNPs2MkmLN+kDtjUSlXrpz27NkT7YMvcp4Sq54Wv3//frRtv/76qwYNGqSCBQtaeg6YoUOHauHChSpbtqw6dOigevXqmR3JIbt371ajRo3Uvn17+3irHTt2aPbs2Vq+fLkqVapkcsKYlS9fXvv27Ytxn5eXl2Xf45GuXLmiTZs2adOmTdq4caOuXr2q6tWra+XKlWZHey4UlURWrlw5rV+/3r4qa2QBePz4serUqaOtW7eaGzAW+fLl06effhrr/p49eyZjGsc56wd5zpw51aZNm1j3T5w4MRnTOCauMuvt7a1Dhw4lc6KE27lzpz777DPdv39fY8aMcYr3i2EY9oHXBw4cUKtWrdSlSxflyZPH7Gix8vPz0+DBg6MMoJWeDaodPny4Nm3aZE6weJQsWVL/+9//ErzPSh4/fqwdO3Zo48aNWrBgge7fv2/pO8QcYc3FOZyYi4tLlKXjIz8I06RJY78EZEUPHz6M9ZeQlW+vHjZsmD7//HP7B3mPHj2c4oM8VapUlhyHEpfQ0NAY18QJCwvTgwcPTErlmOPHj6tfv346cuSIRowYEev4ICuy2WyqV6+e6tWrp5UrV6p9+/ZKnz69PvnkE7Ojxery5cvRSook1a5dW127djUhkWNcXFx05cqVaJ8dly9flouLdWfz2LJli/0syqVLl1S5cmXVqFFDK1eufCHu+mHCt0RWsGDBf7XPbFae5TIhVqxYYeTIkcMYN26c2VHiZOXJumLTq1cv44MPPoiyQuuTJ0+Mrl27Gj179jQxWdw6depkvPLKK8aUKVOirGjuLK5fv258+eWXhpeXl+Hv72/8/PPPlp29OFJcn3VWnohsypQpRpUqVYzjx4/btx07dsyoVq2a8fXXX5uYLG42m83w9fU1Vq1aZXaUJMEZlUTm6empVatWRVvAavXq1S9Gs7WgGzduaM6cOZozZ47c3d01ZcoUy69PZDjhFdcvvvhCDRs2VMGCBVWuXDlJ0oEDB1SgQAFLXwOfMWOGXn75ZQ0aNEiDBw+2bzf+b1Dt7du3TUwXt6ZNm+rkyZNq06aN1qxZo7x585odySEVK1bU+PHj1bdv3yjbv/zyS1WoUMGkVPHr3r27rl+/bl/DSnp2KaVv37768MMPTU4Xu8gzKuPHj1ePHj1UsWJF1apVS7Vq1VLRokXNjvfcGKOSyPbt2yd/f3917tzZPmBs9+7d+uGHH/T7779bdkGugIAAdenSxewYCfb3D/K2bds6zQf58uXL1ahRI7Nj/CsbNmyw38lRrly5GE/xW8n58+fj3J8/f/5kSpJwLi4u9kuEMd25ZNWSdfnyZdWqVUtZs2a1D6bduXOnbt26pU2bNll6tW1JevDggX08SokSJZQ+fXqTEznu8ePH2r17tzZu3KiffvpJoaGhTrOgYmwoKkng8OHDGjdunP2uDh8fH3366afy9vY2OVnsFi1apLfffjvW/ZcvX9a5c+dUpUqVZEwVP2f9IB83bpw+/PBDpUuXLsb9+/fv17Vr1/T6668nczJYiTOXrAcPHmjBggX2z8GyZcuqVatW0ebhsZL79+/HW0ocOcYsly9f1saNG7Vp0yZt2LBB169fV7Vq1bRq1Sqzoz0XigokSZ988olWrVql5s2bq1KlSsqVK5cePXqkEydOaPXq1Tp37pwCAgLk4+NjdtQonPWD/Ntvv9XEiRNVrVq1GH/euXLl0tdff22ppQveeOMNDRgwIMayevfuXc2YMUMZMmSw3Jm5bt26acCAATFO1mUYhpYuXaqwsDC9++67JqSDlVSoUEFNmjTRu+++G+W/vbCwMG3YsEFTp05Vs2bN1K5dO/NCxqBz587avHmzLl++bJ9Hxc/PTxUqVFDq1M4/woOiksic9cyE9CzbzJkztWnTJl28eFEvv/yyvL291aJFCzVs2NDSd/84o0ePHmnJkiUx/ry9vLzMjhfNoUOH1L9/fx09elQVKlSwl6vjx4/r0qVL6t69u3r27Gm5qepXrlyp/v37K0uWLNFK4fbt2/X6669r+PDhllyryFlLlrPmfvjwoaZMmaKAgACFhITY3yvXr19X/fr19emnn1pyjM3w4cPl5+enypUrW+6/v8RAUUlkznpmwlk56weiMwsKCtLmzZujlKtq1apZ/i+3bdu2RSuFb7zxhrJnz252tFg5a8ly1tx/d/HiRft7xdPTM9pt+Ug+FJUkwJmJ5PMifCAC8XHGkiU5b25n4+vrqw8//FDNmjWLtkzLsWPH9N1336l48eLq1q2bSQmfD0UFLwQ+EAGkVFevXtWIESP0888/q2DBglH+YMuVK5f69eun5s2bmx3zX6OoAADwAggLC9PevXuj/MHm4WQr38eEogJYRHBwsIKCgiw5kBYAzEJRQRR3795VQECAzpw5o6dPn9q3z5w508RUL64GDRpo4cKFSp06tb2gvP/++xo+fLjJyWIXFBSkXLlyKU2aNNq+fbv+/PNPtW3bVhkzZjQ7WpzWrFmj1157zewYcBKLFy/W2rVrJUn169dXixYtTE6Ucll3lSWYokWLFgoMDJSXl5fKlStnfyBpXLt2TZkzZ9bvv/+uxo0b69SpU/rll1/MjhWnxo0bKyIiQpcuXVLLli21fft2dejQwexY8Ro+fLg8PT01efJkhYSEmB0HFjZ8+HCNHj1aJUqUUMmSJTVmzBh98cUXZsdKsax9P6GTW7RokQIDA/Xo0SP7tokTJ5qYKH5XrlzRunXrzI6RYkSuqL1lyxY1aNBAL730kuVv85WktGnTauXKlerSpYsGDRqk0qVLmx0pXpFnf7777jsVLVpUzZo1U48ePVSiRAmzo8WqQIECcd4l+NdffyVjGsc5a+5IS5Ys0a5du+yz6Hbq1Em+vr4aNGiQyclSJut/Ijqpnj176uzZs9q/f79atWqlxYsXq169embHilehQoV09+5dZc6c2ewoCXLgwAENGDBAf/31V5RLVlb/QPTy8pK/v7+OHTumcePG6cGDB2ZHildYWJjCwsK0du1a9erVy+w4CeLj46Pp06crMDBQb775pr7//nv5+flp4sSJKlWqlNnxolmxYoUkaeHChTp37px91t/p06dbdtZlyXlzRzIMI8pU/+nTp3eahUT/+9//6sSJExowYIAuXbqk27dvW/K9nRCMUUkipUqV0sGDB+Xj46ODBw/q6tWratu2rdasWWN2tDi1bNlSe/bsUYMGDaLcj2/1M0GlSpVSjx495Ovrq1SpUtm3lyxZ0sRU8Xv06JFWr16t0qVLq0CBArp06ZIOHz6sBg0amB0tVl988YUmTJigokWLateuXbp69aqaNWumnTt3mh0tXuvWrdM333yjw4cPq0uXLurYsaM2bdqkfv366fTp02bHi1WFChW0d+9e+3PDMFSxYsUo26zIWXN37NhRjx8/VufOnSU9W4E7derUmjFjhsnJ4jZkyBDt3btXZ86c0cmTJ3XlyhU1b95cO3bsMDvac+GMShJJmzatXFxcZLPZ9OTJE+XOnVuXL182O1a8ihcvruLFi5sdI8FSpUpluTVmHJE2bVo1adLE/vyVV16x/MqygwYNUo8ePeTm5iabzaaMGTNqyZIlZseKV/HixZU9e3b17NlTzZo1sxfaFi1aWP4XUHBwcJTF8O7fv6/g4GCTU8XPWXN//fXXGjFihHr37i1Jqlu3rgYPHmxyqvj9+uuvOnDggMqXLy9JypMnj0JDQ01O9fwoKkkkY8aMevDggapVq6Y2bdood+7cll41NNLQoUPNjvCvVK1aVfv27bP/B+osTp06pZ49e+rgwYNRxjJZddVnSXr69KlmzJihM2fO6LvvvtO1a9d0/vx5yxesefPmxTow3Oqry7777ruqXLmyfR2xxYsXq02bNianip+z5k6fPr3GjBljdowES5cuXZQzypKc5pJVXLj0k0SuXbumLFmyKDw8XBMnTtSdO3fUq1evGNeksYIFCxaoVatW+vrrr2Pc37Nnz2ROlDClSpXSiRMnVLhw4SiXrCKXmLeqWrVqqWvXrho+fLgWLlyob775Rh4eHhowYIDZ0WL1n//8R+Hh4dq2bZuOHTumu3fvqm7dutq3b5/Z0eJUsWJF7dmzJ95tVrVy5Upt2LBB0rO/8P39/U1O5BhnzN2pUyeNHTtW2bJlkyTdvHlTAwcOVEBAgMnJ4vbOO++oR48e+uijj7R7926NGjVKp0+f1o8//mh2tOfCGZUksnLlSvstmwMHDpT0bC4Sq97Gefz4cUnSn3/+GW2fM6xNNGXKFLMj/CshISF655139MUXX6hUqVIKCAhQpUqVLF1Udu3apcDAQPvCmpkzZ7bfvWRlfx9kHfn83r17JqVJuIYNG6phw4Zmx0gwZ8y9f/9+e0mRpOzZs1t+XI307JJV27ZtdfjwYaVPn15+fn6aP3++2bGeG0UliUyZMiVaKfn2228tW1SGDRsmSfryyy+jrY9z8+ZNMyIlSM2aNSXJPg4ob968ZsZxWOSS7BkzZtS5c+eUO3duy/+8/7noWXh4uCIiIkxKE7+xY8dqzJgxCg0NVdasWe3bHz58qPfff9/EZI47d+6cxo4dG20ixsgzFVblrLn/WWoNw9Djx49NSuO4XLlyafXq1Xrw4IEMw7CPDXJ2FJVEtmfPHu3cuVM3btyIchklODhYYWFhJiZzTP369aNdLolpm9UcO3ZMLVq0sBeVfPnyafHixSpWrJjJyeJWo0YN3bp1Sz169FC5cuWUJk0atWzZ0uxYcfL29ta8efMUERGh06dPa+zYsapVq5bZsWL1n//8R++88466du2qadOm2be7ubk5zarab7/9turUqaMePXpEG4NgZc6au3LlyurRo4c++eQTGYah8ePHq3LlymbHitWhQ4fi3O/t7Z1MSZIGY1QS2a+//qply5bpt99+05tvvmnf7ubmpvfee8+ygz0fP36sR48eqXr16tq2bZt9AFZwcLDq1q2rEydOmJwwbn5+furcubPeffddSc/mbwgICNDGjRtNTua4oKAgBQcHW36tn9DQUPXp00fLli2TJDVp0kQTJ058Yf56syJvb+94fxlZkbPmDgkJUa9evezzwbz55pv66quvLLtMRIECBWLdZ7PZLD+fVHwoKklk1apVTjFoLNKwYcM0bNgw2Wy2KKPE3dzc1KdPH8vfmlemTBkFBgbGu80q4pvC3c3NLZmSvPhatWqlBQsWyMfHJ8bxVlY/Wyg9u3tmzJgxevXVV82OkiDOmhvWwqWfJOLv76/du3dHuzZr1WviQ4cO1dChQ9W1a1dNnTrV7DgJlipVKh09etQ+HfrRo0ctfao5c+bM0Uph5HObzabw8HAT08Xst99+i3P/388gWknfvn0lSZMmTTI3yHO4ceOGSpcuLV9f3yhjhJYuXWpiqvg5a+6AgAC1bNlSmTJlUo8ePbRr1y5NnDhRNWrUMDtanJo0aWI/0xnXNmfDGZUk0q1bN61evVplypSx/8K02WxatGiRycni5swr47Zu3dp+Lfbw4cOaP3++6tevb3KyF4efn1+s+2w2m2UHSIaEhOj27dvy8PCIsv3cuXPKmjWrU5y9mjNnTozb27Ztm8xJEsZZc0destq+fbsGDBigAQMGaPDgwZa/lb1s2bLRzhCWKlVKhw8fNilR4qCoJJEiRYro8OHD0e6QsLqyZctqx44dunXrlipXrqxq1arp6dOnWrx4sdnR4nXjxg3t3r1b0rPBcP+8ewkp03/+8x/Vq1dPzZs3j7J96dKlWrt2rVOeQUTSivyFP2LECOXNm1cdO3aMsQRYRUBAgKZNm6aTJ0/K09PTvj04OFglS5aM92yo1XHpJ4nkyZNHrq6uZsf4V5xxZdxu3brpu+++0xtvvBFtmxVlyZIlxvESkZd+rD4z7eTJk+0z0545c0bnz59X7dq1zY4Woz179kS52ydSs2bNLD/26u+ccTV2yTlzu7i46Oeff9bPP/+slStXSpKlb09u0KCBPD091bVrV3311Vf27W5ubk5/x49EUUkylSpVUosWLfTOO+9EOati1ev4kZx1Zdxdu3ZF22blhbisOsjXET169LDPTCtJ2bJl0zvvvGPZmWn/OSfG37m4uCRjkn/PWVdjd9bcU6ZM0ZgxY9S5c2flz59fJ0+etGwRl6T8+fMrf/786tu3r31OqUhWnmjUUVz6SSIxXc+38nX8SM62Mu7PP/+shQsXatOmTVF+5pHz1kT+MkXiibybysfHxz6TcenSpXXw4EGTk8WsePHi2r17d7SxKMHBwapUqZJ9VmYrc9bV2J01t7OK6fJUuXLltH//fpMSJQ7OqCQRZ5q/4++cbWXcYsWKqXHjxjpw4IAaN25s3+7m5qY6deqYmMwx169f19ChQ6MtSmjVa+GS881M27JlS7333nuaPXu2fYK3O3fuqGPHjpafXC+Ss67G7my5J0yYoD59+thXTf4nq16ycvaJRuNDUUlCT5480dmzZ6P8ArL69cItW7bEuN2qK+OWLl1apUuXVsOGDZUjRw5Jz8Z5hIaGWv5OJUnq2LGjqlWrpvXr12vChAkKCAiwr6FjVc42M+2gQYPUoUMHubu7q0iRIpKerVrdvHlzpxmj4qyrsTtb7gwZMkiSMmXKZHKShLly5YoCAwP14MGDKOu1ubm5afbs2eYFSyRc+kkiK1asUOfOnXXnzh2lT59ed+7cUf78+XX27Fmzo8WpQoUK9q8fPXqkEydOyMvLy9J/4UvPfuFPmDBBL7/8sipUqKBTp05p/Pjx6tatm9nR4hR5GSXyFsLHjx+rZs2alr3UJjnvzLRnzpyxv4/Lli2rQoUKmZzIcdeuXVPmzJkVERFhX439o48+kru7u9nR4uSsuZ2Vs0006iiKShLx8fHRsmXL1KRJE/3555+aN2+eDh48qC+//NLsaAmyZ88ezZ4927J3z0SK/IX/22+/aenSpfr6669VrVo1y0/fXbFiRe3Zs0cVKlTQ6tWrlSVLFnl6eurUqVNmRwNSrE6dOmns2LH2FZRv3rypgQMHKiAgwORk8bt8+bKOHDkS5Uy+1W/iiA+XfpKIi4uL8ufPb7/joE2bNlFuG3MWFStWVJcuXcyOEa/Ivr1161a98cYbcnNzs/TMtJGKFi2qW7duqU2bNqpUqZLc3NxUrlw5s2PFae7cudG2Zc6cWeXKlbPsJUJn1bRp0xhvY49k1RlenTV3pP3799tLiiRlz55de/fuNTGRY2bNmqVhw4bp9u3bKlKkiA4ePKjKlStTVBCzl156SdKzVXx/+eUXeXh46M6dOyanit/fz0CEh4dr9+7devLkiYmJHJM7d2517dpVq1at0sCBA/XkyRNLTkP/T/PmzZMkffTRRypfvrzu3LmjBg0amJwqbvPnz9eWLVtUrVo12Ww2bdu2TRUrVtTJkyc1adIkvf3222ZHfGE0adLE7Aj/irPmjvTPW9oNw7D0PCqRJk6cqD///FO1a9fW/v37tWXLlhdijIoMJImffvrJuH37trFv3z6jcOHCRvbs2Y158+aZHSteHh4e9kfhwoUNf39/Y9++fWbHiteNGzeMr776yti5c6dhGIZx9uxZY9asWeaGcsDRo0eNxYsXG4sXLzaOHTtmdhyHNGvWLErW48ePG02bNjXOnj1rlCpVysRkcXv48GG0bdeuXTMhScKtWrXKoW1W46y5O3XqZHTv3t04d+6ccfbsWaN79+5Gx44dzY4Vr7JlyxqGYRheXl72bT4+PmbFSTQUFbww7t+/b2zfvt3Yvn27cf/+fbPjxOnhw4fGm2++abz88stG6dKlDW9vb+Pll182mjRpYjx69MjseHH6+4dgpMiCUrp06WRO47jGjRsbERER9ue3bt0yypQpY2Iix8X0y8YZfgE5a+7g4GCjffv2Ro4cOYycOXManTp1MkJCQsyOFS9fX18jIiLCaNasmfHVV18ZS5cuNYoUKWJ2rOfGpZ9E5qwrzMbkzp07mjdvnmbMmGH5mVR37Nih5s2bK3fu3JKe3W3w3//+V76+viYni9m4ceMkSZcuXVLmzJkl/f+5PcaOHashQ4aYmC5uGTNm1Ny5c/Xee+9Jkn788Uf7bZ1W5unpqZ49e+qbb77RvXv39Prrr6t79+5mx4rTyZMndfz4cQUHB0f5bAkODtaDBw9MTBY3Z80dyc3NTTNnzjQ7RoJ98cUXCgkJ0bhx4/Sf//xHd+/etfyNEI7grp9E5qwrzP7dunXr9MMPP2jFihVq1KiR3n33XTVq1MjsWHGqXLmyJkyYoKpVq0p6Vlx69+4d49T6VuDj46O1a9dGWzjxxo0bql+/fpS5EKzmxIkTeu+99xQYGCibzabSpUtrzpw5evXVV7Vjxw5LT5HeqlUreXl5ae3atWratKk++ugjsyPFac6cOZo9e7b27dun8uXL27e7ubnpgw8+UMOGDU1MFztnzf13u3fv1pkzZ6KMV3n//fdNTJRyUVQgSQoKCtLMmTM1a9YsZc+eXe3bt9e4ceN0/vx5s6M5JKYp3CNvWbaiEiVK6OjRozHuK168uI4dO5bMiRLu3r17kmT5ifVCQkLsXz969EhvvPGGateurQEDBkhStKn1rSYiIkKjRo3SoEGDzI6SIM6aW5K6du2qNWvWqEyZMva7B202mxYtWmRysrgFBQWpa9euunjxogIDAxUYGKiNGzfq448/Njva8zH3ytOLq0KFCg5ts4pUqVIZdevWNQIDA+3bChQoYGKihKlSpYqxdu1a+/N169YZVapUMTFR3CIHvSV0n1VcvnzZ2L59u7F582b7w6psNpvh4uIS5X8jHy4uLmbHc4i3t7fZEf4VZ81duHDhGAdfW52/v7/x448/2n/uT548iXFMmbNhjEoS+eftbU+ePLH/BWpFAwcO1Jw5c9SlSxenWgMl0uTJk9W8eXOlSpVKxrNB4paeq+HMmTNq1qxZtO2GYeivv/4yIZHjRo4cqS+//FIFCxaM8tfmnj17TE4WMyuvQ+SoIkWK6PTp0ypcuLDZURLEWXPnyZNHrq6uZsdIsOvXr6tNmzaaMGGCJCl16tRKndr5f807/7/AYsaOHasxY8YoNDRUWbNmtW9/+PChpa9vDhs2TJ9//rnWrl2rGTNm6NNPP1V4eLjWrl2rOnXqyMXFxeyIcSpfvrxOnz6tEydOSHo2cDJyLhsrmjx5cqz7rD4HxcyZM3XmzJkoE2JZXXh4uEqVKhXr5Taru337tsqUKaMqVapEGbhs5TIuOW/uSpUqqUWLFnrnnXeiLMJp9ZshUqdObZ/8Uno2QN94AUZ3MEYlkQUHB+vOnTvq2rWrpk2bZt/u5uZmX7nVGdy+fVtz587VzJkzdePGDV25csXsSA65evWqtm/fLk9PT3l5eZkd54VUpUoV7dixw+wYCVazZk2tWrXK0ovixWbOnDkxbm/btm0yJ0kYZ80d000RznAzxIQJE3TixAmtX79e/fv317Rp09SuXTv16NHD7GjPhaKSDJzpNt+Y7N27N8pihVby22+/qVOnTsqaNasmTpyojh076tVXX9Xp06c1evRoffDBB2ZHfOEMHTpUwcHBevfdd6P8tWn1lcE7duyoAwcO6K233ory133Pnj1NTJUwkR/XcU1Pb0XOmtsZLViwQMuWLZNhGGrSpIneffddsyM9N4pKEnLG23ydTZkyZRQQEKA7d+7orbfe0q5du1SyZEldvHhR/v7+Onz4sNkRXzgFChSIts1ms1l+bE379u2jbbPZbE4xX8aVK1fUsWNHbdy4UZJUp04dTZ8+XXny5DE5WdycNbf0bFzh2bNnoyzuZ/Uy/qKiqCQyZ7/N19n8/RZkT09P+xgV6dlcJVaejwRwVKNGjeTr66tu3bpJkqZNm6bt27dr+fLlJieLm7PmXrFihTp37qw7d+4offr0unPnjvLnz6+zZ8+aHS1GCxcuVIUKFVSoUCFJ0ocffqgff/xRhQoV0rx581S8eHGTEz6n5L/R6MXm7Lf5Opu/T8f9z6m5nWGqbmd3+/Zt4+uvv7b01PmRnjx5YowbN86oV6+eUa9ePWP8+PHGkydPzI7lkJh+vs7wM3fW3GXKlDHOnTtnX2Lhxx9/NPr27WtyqtiVKlXKCA0NNQzDMFasWGHky5fP2LVrlzFlyhSjQYMGJqd7fta+lcMJDRw4UKdOnVKXLl00ffp0S9+S/CL466+/1KxZMzVr1izK102bNrXsXz8vgnXr1qlly5Zyd3fXjh07NGLECLMjxat3797atGmTunXrpu7du2vTpk3q3bu32bEcYhiGrl69an9+9epVp7ibw1lzu7i4KH/+/PZpJtq0aWPpgbQ2m03p06eXJK1evVrt27dXpUqV1L17d6e5ESIu3J6cyJz9Nl9n8/fbfBs3bhxln9Vv83U2MV3W3LlzpxYsWGB2NIds2rRJgYGB9v8GGzZsqLJly5qcyjF9+/aVj4+P/P39JT37ZfTll1+anCp+zpo7cmqDfPny6ZdffpGHh4fu3LljcqrY/X2uoF27dkX5w+FFmEeIMSpJzFlv8wX+KXXq1PLz89P48eNVunRpSVLBggUtP4g2UqlSpfTnn3/aJ8B68uSJypYt6zQDrv/3v//ZB6X6+fmpZMmSJidyjDPmXrBggRo0aKC//vpLLVu21N27dzV58mTL3kHz3nvvKWfOnMqTJ4/GjBmjoKAgpUuXTnfv3lWNGjV06NAhsyM+F86oJLGsWbOqV69e6tWrl/bu3Wt2HOBfc9bZi8PDw5UqVSo1aNBA9evXV7t27SRJc+fOtf+lb1UXL15Ur169dPLkSZUrV04TJkyIMpGkVTlrbunZ+yVNmjTKkiWLypUrp1OnTpkdKV5TpkzRoEGDtH37di1ZskTp0qWT9Gxqicj3uzPjjAoAhxmGYb+s+ccffyg8PFz//e9/LX1Zs1y5cpo3b548PT0VEBCg9evXS5Lq1q2rDz74wLK5pWeXp4oUKaLXXntNixcvlouLi3744QezY8XLWXNHKlu2rA4cOGB2DPwfigqAf8VZLmsuWrRIffr0Ua9evdSnTx+z4ySIl5eXjhw5IunZX/oVKlRwil+gzpo7UqdOndSuXTtVq1bN7CgQRQVAIrDy7MXSs8Xaunbtqps3b6pXr172xRQla6/f8s+/7J3lL31nzR3Jy8tLx48fV8GCBaPMYuxM/4YXCUUFQIqwZcsWNWvWTCVKlIiy6rOVbzvNnDmzateubX++YcOGKM+turifs+aOtHnz5hi316xZM5mTQKKoAHjBPXr0SJ999pnWrFmjmTNnqkqVKmZHclhsi/pFsurifs6a+4033tCKFSskSVOnTlXXrl1NTgSJogLgBefp6al69epp3LhxTrlyMpLP35fdcLbLVS8y6w53B2BJQUFBevz4sSRp+/btmjJliqVnYJ4yZYqmTJlCSUG8WN3ZmjijAiBBypYtqx07dujWrVuqXLmyqlWrpqdPn2rx4sVmRwOeS8GCBTV58mQZhqGPP/5YX331VZT9Vh54/SKjqABIkMhT4t9//72uX7+uQYMGqXTp0jp48KDZ0YDnUqtWrVjPqlh94PWLjJlpASRIWFiYwsLCtHbtWvXq1cvsOECi2bRpk9kREAPGqABIkFatWil37ty6cOGCqlSpoitXrjjF+I9t27YpPDzc7BgAEohLPwAS7O7du3Jzc5OLi4tCQ0MVHBysV155xexYcapTp44OHTqkihUrqk6dOqpbt668vb3NjgUgHhQVAAm2ePFirV27VpJUv359tWjRwuREjnn48KG2bt2qdevWacmSJXrw4IGuXr1qdiwAcWCMCoAEGT58uJYtW6b3339fNptNY8aM0fHjxzVo0CCzo8Xp4cOH2rx5s9auXauNGzcqR44cqlu3rtmxAMSDMyoAEsTb21u7du2yj0u5f/++fH19dejQIZOTxc3V1VUVKlRQ7969VadOHWXKlMnsSLCou3fvKiAgQGfOnNHTp0/t22fOnGliqpSLMyoAEsQwjCiDZ9OnTy9n+Hvnq6++0rp16zRgwACVL19e9erVU506dZQvXz6zo8FiWrRooRw5csjX1zfKApYwB2dUACRIx44d9fjxY3Xu3FmSNGPGDKVOnVozZswwOZljIiIiNH/+fA0ZMkQXLlzgTiBEU7JkSf3vf/8zOwb+D2dUACTI119/rREjRqh3796SpLp162rIkCEmp4rfwoULtW7dOq1fv16urq56/fXXGaOCGBUqVEh3795V5syZzY4CcUYFQCLo27evxo8fb3aMOLVu3Vp169ZV3bp15e7ubnYcWFjLli21Z88eNWjQQGnTprVvnzhxoompUi6KCoDn9uqrr+rChQtmx4jXkydPdOHCBRUqVMjsKLCwYcOGxbh96NChyZwEEkUFQCJwd3dXUFCQ2THitHnzZrVq1UqpU6fWhQsXtHfvXk2ePFnz5s0zOxqAODBGBcBzi20hNyv57LPPtHXrVvvkdBUqVNCff/5pcipY1Z49exQYGKhHjx7Zt/Xs2dPERCkXRQWAQ5o2bRpjITEMQ7du3TIhUcKEh4dHu+STJk0ak9LAykaNGqUlS5bowoULqlmzptauXas6depQVExCUQHgkCZNmvyrfVaRNm1ahYaG2svW4cOHlS5dOpNTwYp++ukn7du3T5UrV9Z///tfnThxQgMGDDA7VopFUQHgkLZt25od4bkMHjxY9evX16VLl9SmTRutW7dOP/30k9mxYEFp06ZV2rRpFRERIcMw5OnpqTNnzpgdK8WiqABIEerXr68iRYpo9erVMgxDw4YN4+4fxChdunR68uSJypQpo759+ypfvnxMDGgi7voBAOBvjhw5ogIFCujBgwcaMGCA7ty5o0GDBqlMmTJmR0uRKCoAXmh+fn6x3pVks9m0fv36ZE4EICEoKgBeaCtXroy27cqVKxo1apTu3bunGzdumJAKVrRw4UJVqFDBfknwww8/1I8//qhChQpp3rx5Kl68uMkJUyaKCoAUIzQ0VGPGjNH333+vzp0767PPPpObm5vZsWAR3t7e2rlzp9KnT6+VK1fqP//5j5YsWaJ9+/ZpxYoVWrVqldkRUyQXswMAQFJ7+vSpJk2apCJFiujmzZs6ePCgRo4cSUlBFDabTenTp5ckrV69Wu3bt1elSpXUvXt3XblyxeR0KRdFBcALbf78+fL09NT27du1ZcsWTZs2TXny5DE7FiwoIiLC/vWuXbtUpUqVGPcheXHpB8ALzcXFRfnz51eZMmViHFS7dOlSE1LBit577z3lzJlTefLk0ZgxYxQUFKR06dLp7t27qlGjhg4dOmR2xBSJeVQAvNBmzZpldgQ4iSlTpmjQoEHavn27lixZYp+5eO/evWrXrp254VIwzqgAAADLYowKAACwLIoKAACwLIoKAACwLIoKAACwLIoKAACwLIoKAACwLIoKAACwLIoKAACwLIoKANPYbDYtW7YszmPatWunJk2aJEseANZDUQGQZK5evaoPP/xQBQsWlKurq9zd3dWoUSOtX79eknTlyhX5+/tLks6dOyebzabAwMAorzF58mTNnj07mZMDsArW+gGQJM6dO6eqVasqc+bM+vLLL1WqVCk9efJEa9asUffu3XX8+HHlzp073tfJlClTMqQFYFWcUQGQJLp16yabzaY9e/aoefPmKlq0qEqWLKnevXtr165dkqJe+ilQoIAkycfHRzabTbVq1ZIU/dJPRESERo8erQIFCihdunQqXbq0lixZYt9/584dtW7dWjly5FC6dOlUpEgRFiYEnBhnVAAkutu3b2v16tUaOXKk0qdPH21/5syZo23bs2ePKlasqHXr1qlkyZJKkyZNjK89evRozZs3T9OmTVORIkW0ZcsWtWnTRjly5FDNmjU1ePBgHT16VKtWrVL27Nl1+vRpPXz4MLH/iQCSCUUFQKI7ffq0DMNQsWLFHP7/5MiRQ5KULVu2WC8JhYWFadSoUVq3bp18fX0lSQULFtS2bdsUEBCgmjVr6sKFC/Lx8VH58uUlSR4eHs/3jwFgKooKgERnGEaSvO7p06f14MED1atXL8r2x48fy8fHR5LUtWtXNW/eXAcOHFD9+vXVpEkTValSJUnyAEh6FBUAia5IkSKy2Ww6fvx4or5uaGioJGnlypV65ZVXouxzdXWVJPn7++v8+fP6/ffftXbtWtWpU0fdu3fX+PHjEzULgOTBYFoAiS5r1qx67bXX9O233+r+/fvR9t+9ezfatsgxKeHh4bG+bokSJeTq6qoLFy6ocOHCUR7u7u7243LkyKG2bdtq3rx5mjRpkr7//vvn/0cBMAVnVAAkiW+//VZVq1ZVxYoVNXz4cHl7e+vp06dau3atpk6dqmPHjkU5PmfOnEqXLp1Wr16tfPnyKW3atNFuTc6YMaP69u2rjz/+WBEREapWrZqCg4O1fft2ubm5qW3bthoyZIjKlSunkiVLKiwsTCtWrFDx4sWT858OIBFxRgVAkihYsKAOHDggPz8/9enTR15eXqpXr57Wr1+vqVOnRjs+derU+vrrrxUQEKC8efOqcePGMb7uiBEjNHjwYI0ePVrFixdXgwYNtHLlSvvtzWnSpFH//v3l7e2tGjVqKFWqVFq4cGGS/lsBJB2bkVSj3gAAAJ4TZ1QAAIBlUVQAAIBlUVQAAIBlUVQAAIBlUVQAAIBlUVQAAIBlUVQAAIBlUVQAAIBlUVQAAIBlUVQAAIBlUVQAAIBl/T/bfRJKJACP1AAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We see that San Francisco (CA) had the most sales."
      ],
      "metadata": {
        "id": "RX9-qFlhobz9"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **3.   What time should we display advertisements to maximize likelihood of customer's buying product?**"
      ],
      "metadata": {
        "id": "Rly2lzR7n6G3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In order to answer this question we need to get all hours of the day and the number of sales per hour:"
      ],
      "metadata": {
        "id": "UDmwIYq_on4_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Sales_per_hour = data.groupby(['Hour']).count() # Take sales per hour\n",
        "Hours = [hours for hours, df in data.groupby('Hour')] # Take all hours"
      ],
      "metadata": {
        "id": "-v-mGc94olk-"
      },
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's see in which hour we had the highest number of sales with a plot graph:"
      ],
      "metadata": {
        "id": "2V6NQdPDpSpB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the orders conducted hourly\n",
        "plt.plot(Hours, data.groupby(['Hour']).count())\n",
        "plt.xticks(Hours, size = 8)\n",
        "plt.grid()\n",
        "plt.ylabel('Orders')\n",
        "plt.xlabel('Hours')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 445
        },
        "id": "snk2cj2Hodz9",
        "outputId": "e05efd29-8991-4759-a2b4-2b148dd6f094"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "As we see, the hours with the highest likelihood of customer's buying product are 11am (11:00) and 7pm (19:00)."
      ],
      "metadata": {
        "id": "6Fv74s1KpjCN"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **4.   What products are most often sold together?**"
      ],
      "metadata": {
        "id": "-wybTxoun8_4"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In order to answer this question we need to see all the duplicates Order IDs there are in the dataset. Duplicates Order IDs means that two different products sold together."
      ],
      "metadata": {
        "id": "214ii-f_pmOl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "duplicated_OrderID = data[data['Order ID'].duplicated(keep = False)]\n",
        "duplicated_OrderID.head(6)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "oAsSqEUPptxu",
        "outputId": "7f07d642-5f70-4641-e259-f373b9281b10"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Order ID                   Product  Quantity Ordered  Price Each  \\\n",
              "41     141275      USB-C Charging Cable               1.0       11.95   \n",
              "42     141275          Wired Headphones               1.0       11.99   \n",
              "57     141290     AA Batteries (4-pack)               3.0        3.84   \n",
              "58     141290  Apple Airpods Headphones               1.0      150.00   \n",
              "133    141365          Wired Headphones               1.0       11.99   \n",
              "134    141365           Vareebadd Phone               1.0      400.00   \n",
              "\n",
              "              Order Date                        Purchase Address  Month  \\\n",
              "41   2019-01-07 16:06:00         610 Walnut St, Austin, TX 73301      1   \n",
              "42   2019-01-07 16:06:00         610 Walnut St, Austin, TX 73301      1   \n",
              "57   2019-01-02 08:25:00         4 1st St, Los Angeles, CA 90001      1   \n",
              "58   2019-01-02 08:25:00         4 1st St, Los Angeles, CA 90001      1   \n",
              "133  2019-01-10 11:19:00  20 Dogwood St, New York City, NY 10001      1   \n",
              "134  2019-01-10 11:19:00  20 Dogwood St, New York City, NY 10001      1   \n",
              "\n",
              "      Sales                 City  Hour  Minute  \n",
              "41    11.95          Austin (TX)    16       6  \n",
              "42    11.99          Austin (TX)    16       6  \n",
              "57    11.52     Los Angeles (CA)     8      25  \n",
              "58   150.00     Los Angeles (CA)     8      25  \n",
              "133   11.99   New York City (NY)    11      19  \n",
              "134  400.00   New York City (NY)    11      19  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d01316e6-9e01-499f-9289-e7d825a8b9df\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Order ID</th>\n",
              "      <th>Product</th>\n",
              "      <th>Quantity Ordered</th>\n",
              "      <th>Price Each</th>\n",
              "      <th>Order Date</th>\n",
              "      <th>Purchase Address</th>\n",
              "      <th>Month</th>\n",
              "      <th>Sales</th>\n",
              "      <th>City</th>\n",
              "      <th>Hour</th>\n",
              "      <th>Minute</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>141275</td>\n",
              "      <td>USB-C Charging Cable</td>\n",
              "      <td>1.0</td>\n",
              "      <td>11.95</td>\n",
              "      <td>2019-01-07 16:06:00</td>\n",
              "      <td>610 Walnut St, Austin, TX 73301</td>\n",
              "      <td>1</td>\n",
              "      <td>11.95</td>\n",
              "      <td>Austin (TX)</td>\n",
              "      <td>16</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>141275</td>\n",
              "      <td>Wired Headphones</td>\n",
              "      <td>1.0</td>\n",
              "      <td>11.99</td>\n",
              "      <td>2019-01-07 16:06:00</td>\n",
              "      <td>610 Walnut St, Austin, TX 73301</td>\n",
              "      <td>1</td>\n",
              "      <td>11.99</td>\n",
              "      <td>Austin (TX)</td>\n",
              "      <td>16</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>141290</td>\n",
              "      <td>AA Batteries (4-pack)</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.84</td>\n",
              "      <td>2019-01-02 08:25:00</td>\n",
              "      <td>4 1st St, Los Angeles, CA 90001</td>\n",
              "      <td>1</td>\n",
              "      <td>11.52</td>\n",
              "      <td>Los Angeles (CA)</td>\n",
              "      <td>8</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>141290</td>\n",
              "      <td>Apple Airpods Headphones</td>\n",
              "      <td>1.0</td>\n",
              "      <td>150.00</td>\n",
              "      <td>2019-01-02 08:25:00</td>\n",
              "      <td>4 1st St, Los Angeles, CA 90001</td>\n",
              "      <td>1</td>\n",
              "      <td>150.00</td>\n",
              "      <td>Los Angeles (CA)</td>\n",
              "      <td>8</td>\n",
              "      <td>25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>133</th>\n",
              "      <td>141365</td>\n",
              "      <td>Wired Headphones</td>\n",
              "      <td>1.0</td>\n",
              "      <td>11.99</td>\n",
              "      <td>2019-01-10 11:19:00</td>\n",
              "      <td>20 Dogwood St, New York City, NY 10001</td>\n",
              "      <td>1</td>\n",
              "      <td>11.99</td>\n",
              "      <td>New York City (NY)</td>\n",
              "      <td>11</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>134</th>\n",
              "      <td>141365</td>\n",
              "      <td>Vareebadd Phone</td>\n",
              "      <td>1.0</td>\n",
              "      <td>400.00</td>\n",
              "      <td>2019-01-10 11:19:00</td>\n",
              "      <td>20 Dogwood St, New York City, NY 10001</td>\n",
              "      <td>1</td>\n",
              "      <td>400.00</td>\n",
              "      <td>New York City (NY)</td>\n",
              "      <td>11</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d01316e6-9e01-499f-9289-e7d825a8b9df')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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            ]
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          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We should create a new column that will group all same Order IDs, using groupby function:"
      ],
      "metadata": {
        "id": "TkIi8jvopw3e"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "duplicated_OrderID['Grouped Products'] = duplicated_OrderID.groupby('Order ID')['Product'].transform(lambda x: ', '.join(x))\n",
        "duplicated_OrderID.head(6)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 403
        },
        "id": "R1BNi6jXpyRW",
        "outputId": "824906ac-a2e1-4060-cee2-a68437683562"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Order ID                   Product  Quantity Ordered  Price Each  \\\n",
              "41     141275      USB-C Charging Cable               1.0       11.95   \n",
              "42     141275          Wired Headphones               1.0       11.99   \n",
              "57     141290     AA Batteries (4-pack)               3.0        3.84   \n",
              "58     141290  Apple Airpods Headphones               1.0      150.00   \n",
              "133    141365          Wired Headphones               1.0       11.99   \n",
              "134    141365           Vareebadd Phone               1.0      400.00   \n",
              "\n",
              "              Order Date                        Purchase Address  Month  \\\n",
              "41   2019-01-07 16:06:00         610 Walnut St, Austin, TX 73301      1   \n",
              "42   2019-01-07 16:06:00         610 Walnut St, Austin, TX 73301      1   \n",
              "57   2019-01-02 08:25:00         4 1st St, Los Angeles, CA 90001      1   \n",
              "58   2019-01-02 08:25:00         4 1st St, Los Angeles, CA 90001      1   \n",
              "133  2019-01-10 11:19:00  20 Dogwood St, New York City, NY 10001      1   \n",
              "134  2019-01-10 11:19:00  20 Dogwood St, New York City, NY 10001      1   \n",
              "\n",
              "      Sales                 City  Hour  Minute  \\\n",
              "41    11.95          Austin (TX)    16       6   \n",
              "42    11.99          Austin (TX)    16       6   \n",
              "57    11.52     Los Angeles (CA)     8      25   \n",
              "58   150.00     Los Angeles (CA)     8      25   \n",
              "133   11.99   New York City (NY)    11      19   \n",
              "134  400.00   New York City (NY)    11      19   \n",
              "\n",
              "                                    Grouped Products  \n",
              "41            USB-C Charging Cable, Wired Headphones  \n",
              "42            USB-C Charging Cable, Wired Headphones  \n",
              "57   AA Batteries (4-pack), Apple Airpods Headphones  \n",
              "58   AA Batteries (4-pack), Apple Airpods Headphones  \n",
              "133                Wired Headphones, Vareebadd Phone  \n",
              "134                Wired Headphones, Vareebadd Phone  "
            ],
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              "      <th>Order ID</th>\n",
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              "      <th>58</th>\n",
              "      <td>141290</td>\n",
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              "      <td>141365</td>\n",
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              "      <td>11</td>\n",
              "      <td>19</td>\n",
              "      <td>Wired Headphones, Vareebadd Phone</td>\n",
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              "      <th>134</th>\n",
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              "                                                     [key], {});\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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    {
      "cell_type": "markdown",
      "source": [
        "Next we should drop duplicates, as now we have Grouped Products column:"
      ],
      "metadata": {
        "id": "iBsN2zTVp0Y-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Grouped_Products = duplicated_OrderID[['Order ID', 'Grouped Products']].drop_duplicates()\n",
        "Grouped_Products.head(6)"
      ],
      "metadata": {
        "colab": {
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          "height": 237
        },
        "id": "Yx62_8OUp1z1",
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      "execution_count": 56,
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Order ID                                 Grouped Products\n",
              "41     141275           USB-C Charging Cable, Wired Headphones\n",
              "57     141290  AA Batteries (4-pack), Apple Airpods Headphones\n",
              "133    141365                Wired Headphones, Vareebadd Phone\n",
              "153    141384               Google Phone, USB-C Charging Cable\n",
              "220    141450         Bose SoundSport Headphones, Google Phone\n",
              "228    141457                 Apple Airpods Headphones, iPhone"
            ],
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              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-daf8e4c9-c5b6-4e68-8880-b2bd85d33070 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-daf8e4c9-c5b6-4e68-8880-b2bd85d33070');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Finally, count the combinations of 2 products sold together:"
      ],
      "metadata": {
        "id": "bEUaWgFVpoOm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "count = Counter()\n",
        "\n",
        "for row in Grouped_Products['Grouped Products']:\n",
        "    row_list = row.split(',')\n",
        "    count.update(Counter(combinations(row_list, 2))) # Take the 2 most common products sold together\n",
        "\n",
        "count.most_common(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Kdav_3d9p50t",
        "outputId": "3973ce4f-9216-4e78-ec3e-408924d5f867"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(('iPhone', ' Lightning Charging Cable'), 704),\n",
              " (('Google Phone', ' USB-C Charging Cable'), 685),\n",
              " (('iPhone', ' Wired Headphones'), 315),\n",
              " (('Google Phone', ' Wired Headphones'), 287),\n",
              " (('Lightning Charging Cable', ' iPhone'), 283),\n",
              " (('USB-C Charging Cable', ' Google Phone'), 282),\n",
              " (('iPhone', ' Apple Airpods Headphones'), 258),\n",
              " (('Vareebadd Phone', ' USB-C Charging Cable'), 256),\n",
              " (('Google Phone', ' Bose SoundSport Headphones'), 148),\n",
              " (('Wired Headphones', ' iPhone'), 138)]"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "iPhone and Lightning Charging Cable is most often sold together."
      ],
      "metadata": {
        "id": "TIyV3YStp7dO"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **5.   What product sold the most? Why do you think it sold the most?**"
      ],
      "metadata": {
        "id": "sd8l5wIToAIe"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In order to answer this question We just need to sum up the Quantity Ordered based on Grouped Products:"
      ],
      "metadata": {
        "id": "_gdkA2ndpm5N"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "unique_Products = data.groupby('Product').sum().index\n",
        "Quantity_Ordered_by_product = data.groupby('Product').sum()['Quantity Ordered']"
      ],
      "metadata": {
        "id": "GWz-m8GVqOKd"
      },
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's see the product with the most quantity order with a bar graph:"
      ],
      "metadata": {
        "id": "hbcc03UhqUKN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the quantity ordered for each product\n",
        "plt.bar(unique_Products, Quantity_Ordered_by_product)\n",
        "plt.xticks(unique_Products, rotation = 90, size = 8)\n",
        "plt.ylabel('# Quantity Ordered')\n",
        "plt.xlabel('Product')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 604
        },
        "id": "XKhVXyLTqR7H",
        "outputId": "5ebfd7af-fa56-40c3-fb4e-0aa57b8ac655"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The AAA Batteries (4-pack), along with AA Batteries (4-pack), had the most quantity sales of all products. One reasonable explanation would be that batteries are cheap and LG Dryer is not. Let's test this theory:"
      ],
      "metadata": {
        "id": "0sb-LezrqiFW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Prices_of_products = data.groupby('Product').mean()['Price Each']\n",
        "Prices_of_products"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jPxDi8_TqiuO",
        "outputId": "8806d5cd-9f8d-4025-9da6-29004c67dad2"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Product\n",
              "20in Monitor                   109.99\n",
              "27in 4K Gaming Monitor         389.99\n",
              "27in FHD Monitor               149.99\n",
              "34in Ultrawide Monitor         379.99\n",
              "AA Batteries (4-pack)            3.84\n",
              "AAA Batteries (4-pack)           2.99\n",
              "Apple Airpods Headphones       150.00\n",
              "Bose SoundSport Headphones      99.99\n",
              "Flatscreen TV                  300.00\n",
              "Google Phone                   600.00\n",
              "LG Dryer                       600.00\n",
              "LG Washing Machine             600.00\n",
              "Lightning Charging Cable        14.95\n",
              "Macbook Pro Laptop            1700.00\n",
              "ThinkPad Laptop                999.99\n",
              "USB-C Charging Cable            11.95\n",
              "Vareebadd Phone                400.00\n",
              "Wired Headphones                11.99\n",
              "iPhone                         700.00\n",
              "Name: Price Each, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's combine Quantity Ordered and Prices, along with the coresponding Products in one graph:"
      ],
      "metadata": {
        "id": "sh_Ai_iSqlfF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax1 = plt.subplots()\n",
        "\n",
        "ax2 = ax1.twinx()\n",
        "ax1.bar(unique_Products, Quantity_Ordered_by_product, color = 'g')\n",
        "ax2.plot(unique_Products, Prices_of_products, color = 'b')\n",
        "\n",
        "ax1.set_xlabel('Product')\n",
        "ax1.set_ylabel('# Quantity Ordered', color = 'g')\n",
        "ax2.set_ylabel('Price ($)', color = 'b')\n",
        "\n",
        "ax1.set_xticklabels(unique_Products, rotation = 90, size = 8)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 604
        },
        "id": "84q5wX7Bqm1l",
        "outputId": "1cf7cbd9-9596-4139-a26a-30b43ba99747"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We see that Macbook is much more expensive than a Dryer, but it's quantity ordered is so much higher. This happens probably because students buy Macbooks more frequntly than someone who would by a Dryer or a Washing Machine."
      ],
      "metadata": {
        "id": "gU0ipJ3pqou1"
      }
    }
  ]
}