diff --git a/24_MarketBasketAnalysisusingECLAT.ipynb b/24_MarketBasketAnalysisusingECLAT.ipynb
new file mode 100644
index 0000000..ab5b971
--- /dev/null
+++ b/24_MarketBasketAnalysisusingECLAT.ipynb
@@ -0,0 +1,2898 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/Orrm23/DeepSeek-Coder/blob/main/24_MarketBasketAnalysisusingECLAT.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "r3cas2_1T98w"
+      },
+      "source": [
+        "#24_MarketBasketAnalysisusingECLAT"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "IODliia6U1xO"
+      },
+      "source": [
+        "### Importing the basic libraries"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "y98nA5UdU6Hf"
+      },
+      "source": [
+        "import numpy as np\n",
+        "import pandas as pd\n",
+        "import matplotlib.pyplot as plt"
+      ],
+      "execution_count": 1,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "jpjZ43YlU8eI"
+      },
+      "source": [
+        "### Load Dataset from Local Directory"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "pLVaXoYVU_Uy",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 73
+        },
+        "outputId": "2294d2f2-7f56-4551-fbcf-58e89907eba1"
+      },
+      "source": [
+        "from google.colab import files\n",
+        "uploaded = files.upload()"
+      ],
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "\n",
+              "     <input type=\"file\" id=\"files-2ae26839-31b2-4823-a02a-9e2ac6758c26\" name=\"files[]\" multiple disabled\n",
+              "        style=\"border:none\" />\n",
+              "     <output id=\"result-2ae26839-31b2-4823-a02a-9e2ac6758c26\">\n",
+              "      Upload widget is only available when the cell has been executed in the\n",
+              "      current browser session. Please rerun this cell to enable.\n",
+              "      </output>\n",
+              "      <script>// Copyright 2017 Google LLC\n",
+              "//\n",
+              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+              "// you may not use this file except in compliance with the License.\n",
+              "// You may obtain a copy of the License at\n",
+              "//\n",
+              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
+              "//\n",
+              "// Unless required by applicable law or agreed to in writing, software\n",
+              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+              "// See the License for the specific language governing permissions and\n",
+              "// limitations under the License.\n",
+              "\n",
+              "/**\n",
+              " * @fileoverview Helpers for google.colab Python module.\n",
+              " */\n",
+              "(function(scope) {\n",
+              "function span(text, styleAttributes = {}) {\n",
+              "  const element = document.createElement('span');\n",
+              "  element.textContent = text;\n",
+              "  for (const key of Object.keys(styleAttributes)) {\n",
+              "    element.style[key] = styleAttributes[key];\n",
+              "  }\n",
+              "  return element;\n",
+              "}\n",
+              "\n",
+              "// Max number of bytes which will be uploaded at a time.\n",
+              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
+              "\n",
+              "function _uploadFiles(inputId, outputId) {\n",
+              "  const steps = uploadFilesStep(inputId, outputId);\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  // Cache steps on the outputElement to make it available for the next call\n",
+              "  // to uploadFilesContinue from Python.\n",
+              "  outputElement.steps = steps;\n",
+              "\n",
+              "  return _uploadFilesContinue(outputId);\n",
+              "}\n",
+              "\n",
+              "// This is roughly an async generator (not supported in the browser yet),\n",
+              "// where there are multiple asynchronous steps and the Python side is going\n",
+              "// to poll for completion of each step.\n",
+              "// This uses a Promise to block the python side on completion of each step,\n",
+              "// then passes the result of the previous step as the input to the next step.\n",
+              "function _uploadFilesContinue(outputId) {\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  const steps = outputElement.steps;\n",
+              "\n",
+              "  const next = steps.next(outputElement.lastPromiseValue);\n",
+              "  return Promise.resolve(next.value.promise).then((value) => {\n",
+              "    // Cache the last promise value to make it available to the next\n",
+              "    // step of the generator.\n",
+              "    outputElement.lastPromiseValue = value;\n",
+              "    return next.value.response;\n",
+              "  });\n",
+              "}\n",
+              "\n",
+              "/**\n",
+              " * Generator function which is called between each async step of the upload\n",
+              " * process.\n",
+              " * @param {string} inputId Element ID of the input file picker element.\n",
+              " * @param {string} outputId Element ID of the output display.\n",
+              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
+              " */\n",
+              "function* uploadFilesStep(inputId, outputId) {\n",
+              "  const inputElement = document.getElementById(inputId);\n",
+              "  inputElement.disabled = false;\n",
+              "\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  outputElement.innerHTML = '';\n",
+              "\n",
+              "  const pickedPromise = new Promise((resolve) => {\n",
+              "    inputElement.addEventListener('change', (e) => {\n",
+              "      resolve(e.target.files);\n",
+              "    });\n",
+              "  });\n",
+              "\n",
+              "  const cancel = document.createElement('button');\n",
+              "  inputElement.parentElement.appendChild(cancel);\n",
+              "  cancel.textContent = 'Cancel upload';\n",
+              "  const cancelPromise = new Promise((resolve) => {\n",
+              "    cancel.onclick = () => {\n",
+              "      resolve(null);\n",
+              "    };\n",
+              "  });\n",
+              "\n",
+              "  // Wait for the user to pick the files.\n",
+              "  const files = yield {\n",
+              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
+              "    response: {\n",
+              "      action: 'starting',\n",
+              "    }\n",
+              "  };\n",
+              "\n",
+              "  cancel.remove();\n",
+              "\n",
+              "  // Disable the input element since further picks are not allowed.\n",
+              "  inputElement.disabled = true;\n",
+              "\n",
+              "  if (!files) {\n",
+              "    return {\n",
+              "      response: {\n",
+              "        action: 'complete',\n",
+              "      }\n",
+              "    };\n",
+              "  }\n",
+              "\n",
+              "  for (const file of files) {\n",
+              "    const li = document.createElement('li');\n",
+              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
+              "    li.append(span(\n",
+              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
+              "        `last modified: ${\n",
+              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
+              "                                    'n/a'} - `));\n",
+              "    const percent = span('0% done');\n",
+              "    li.appendChild(percent);\n",
+              "\n",
+              "    outputElement.appendChild(li);\n",
+              "\n",
+              "    const fileDataPromise = new Promise((resolve) => {\n",
+              "      const reader = new FileReader();\n",
+              "      reader.onload = (e) => {\n",
+              "        resolve(e.target.result);\n",
+              "      };\n",
+              "      reader.readAsArrayBuffer(file);\n",
+              "    });\n",
+              "    // Wait for the data to be ready.\n",
+              "    let fileData = yield {\n",
+              "      promise: fileDataPromise,\n",
+              "      response: {\n",
+              "        action: 'continue',\n",
+              "      }\n",
+              "    };\n",
+              "\n",
+              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
+              "    let position = 0;\n",
+              "    do {\n",
+              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
+              "      const chunk = new Uint8Array(fileData, position, length);\n",
+              "      position += length;\n",
+              "\n",
+              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
+              "      yield {\n",
+              "        response: {\n",
+              "          action: 'append',\n",
+              "          file: file.name,\n",
+              "          data: base64,\n",
+              "        },\n",
+              "      };\n",
+              "\n",
+              "      let percentDone = fileData.byteLength === 0 ?\n",
+              "          100 :\n",
+              "          Math.round((position / fileData.byteLength) * 100);\n",
+              "      percent.textContent = `${percentDone}% done`;\n",
+              "\n",
+              "    } while (position < fileData.byteLength);\n",
+              "  }\n",
+              "\n",
+              "  // All done.\n",
+              "  yield {\n",
+              "    response: {\n",
+              "      action: 'complete',\n",
+              "    }\n",
+              "  };\n",
+              "}\n",
+              "\n",
+              "scope.google = scope.google || {};\n",
+              "scope.google.colab = scope.google.colab || {};\n",
+              "scope.google.colab._files = {\n",
+              "  _uploadFiles,\n",
+              "  _uploadFilesContinue,\n",
+              "};\n",
+              "})(self);\n",
+              "</script> "
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Saving dataset1.csv to dataset1.csv\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "fLBaNX8cVymm"
+      },
+      "source": [
+        "### Importing the dataset"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "lBgHJ6c7gDn2",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "34a21ff1-ffb6-45da-a966-3d997fa61f8f"
+      },
+      "source": [
+        "dataset = pd.read_csv('dataset1.csv')\n",
+        "print(dataset.shape)\n",
+        "print(dataset.head(5))"
+      ],
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "(7500, 20)\n",
+            "           shrimp    almonds     avocado    vegetables mix green grapes  \\\n",
+            "0         burgers  meatballs        eggs               NaN          NaN   \n",
+            "1         chutney        NaN         NaN               NaN          NaN   \n",
+            "2          turkey    avocado         NaN               NaN          NaN   \n",
+            "3   mineral water       milk  energy bar  whole wheat rice    green tea   \n",
+            "4  low fat yogurt        NaN         NaN               NaN          NaN   \n",
+            "\n",
+            "  whole weat flour yams cottage cheese energy drink tomato juice  \\\n",
+            "0              NaN  NaN            NaN          NaN          NaN   \n",
+            "1              NaN  NaN            NaN          NaN          NaN   \n",
+            "2              NaN  NaN            NaN          NaN          NaN   \n",
+            "3              NaN  NaN            NaN          NaN          NaN   \n",
+            "4              NaN  NaN            NaN          NaN          NaN   \n",
+            "\n",
+            "  low fat yogurt green tea honey salad mineral water salmon antioxydant juice  \\\n",
+            "0            NaN       NaN   NaN   NaN           NaN    NaN               NaN   \n",
+            "1            NaN       NaN   NaN   NaN           NaN    NaN               NaN   \n",
+            "2            NaN       NaN   NaN   NaN           NaN    NaN               NaN   \n",
+            "3            NaN       NaN   NaN   NaN           NaN    NaN               NaN   \n",
+            "4            NaN       NaN   NaN   NaN           NaN    NaN               NaN   \n",
+            "\n",
+            "  frozen smoothie spinach  olive oil  \n",
+            "0             NaN     NaN        NaN  \n",
+            "1             NaN     NaN        NaN  \n",
+            "2             NaN     NaN        NaN  \n",
+            "3             NaN     NaN        NaN  \n",
+            "4             NaN     NaN        NaN  \n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "n90Tb_w9V-vn"
+      },
+      "source": [
+        "### Data Pre-Processing"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "pm6q3gWXgG_1",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "237301b1-2d32-4b46-d916-687d3c850b94"
+      },
+      "source": [
+        "transactions = []\n",
+        "for i in range(0, 70):\n",
+        "  transactions.append([str(dataset.values[i,j]) for j in range(0, 20)])\n",
+        "transactions"
+      ],
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[['burgers',\n",
+              "  'meatballs',\n",
+              "  'eggs',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['chutney',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['turkey',\n",
+              "  'avocado',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['mineral water',\n",
+              "  'milk',\n",
+              "  'energy bar',\n",
+              "  'whole wheat rice',\n",
+              "  'green tea',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['low fat yogurt',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['whole wheat pasta',\n",
+              "  'french fries',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['soup',\n",
+              "  'light cream',\n",
+              "  'shallot',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['frozen vegetables',\n",
+              "  'spaghetti',\n",
+              "  'green tea',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['french fries',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['eggs',\n",
+              "  'pet food',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['cookies',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['turkey',\n",
+              "  'burgers',\n",
+              "  'mineral water',\n",
+              "  'eggs',\n",
+              "  'cooking oil',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['spaghetti',\n",
+              "  'champagne',\n",
+              "  'cookies',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['mineral water',\n",
+              "  'salmon',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['mineral water',\n",
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+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['spaghetti',\n",
+              "  'muffins',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['spaghetti',\n",
+              "  'chocolate',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['french fries',\n",
+              "  'escalope',\n",
+              "  'champagne',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['tomato sauce',\n",
+              "  'light mayo',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['turkey',\n",
+              "  'fresh tuna',\n",
+              "  'frozen vegetables',\n",
+              "  'tomatoes',\n",
+              "  'ground beef',\n",
+              "  'spaghetti',\n",
+              "  'mineral water',\n",
+              "  'chocolate',\n",
+              "  'soup',\n",
+              "  'milk',\n",
+              "  'olive oil',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['eggs',\n",
+              "  'cookies',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['soup',\n",
+              "  'chicken',\n",
+              "  'gums',\n",
+              "  'soda',\n",
+              "  'body spray',\n",
+              "  'energy drink',\n",
+              "  'green tea',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['turkey',\n",
+              "  'frozen vegetables',\n",
+              "  'mineral water',\n",
+              "  'cider',\n",
+              "  'cooking oil',\n",
+              "  'green tea',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['spaghetti',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['clothes accessories',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['energy drink',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['soup',\n",
+              "  'bug spray',\n",
+              "  'shallot',\n",
+              "  'protein bar',\n",
+              "  'green tea',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['turkey',\n",
+              "  'eggs',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['french fries',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['chocolate',\n",
+              "  'milk',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['herb & pepper',\n",
+              "  'whole wheat pasta',\n",
+              "  'ground beef',\n",
+              "  'mineral water',\n",
+              "  'avocado',\n",
+              "  'cider',\n",
+              "  'whole wheat rice',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['cookies',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['shrimp',\n",
+              "  'pasta',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan'],\n",
+              " ['grated cheese',\n",
+              "  'herb & pepper',\n",
+              "  'tomatoes',\n",
+              "  'tomato sauce',\n",
+              "  'corn',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan',\n",
+              "  'nan']]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 6
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "zoIEOorVTzD9"
+      },
+      "source": [
+        "### Training APRIORI"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "wOuthXLlT0GI",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "2e4681c9-46e5-411f-83fd-b07ab487978d"
+      },
+      "source": [
+        "!pip install apyori\n",
+        "from apyori import apriori\n",
+        "rules = apriori(transactions = transactions, min_support = 0.003, min_confidence = 0.2, min_lift = 3, min_length = 2, max_length = 2)"
+      ],
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting apyori\n",
+            "  Downloading apyori-1.1.2.tar.gz (8.6 kB)\n",
+            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "Building wheels for collected packages: apyori\n",
+            "  Building wheel for apyori (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for apyori: filename=apyori-1.1.2-py3-none-any.whl size=5954 sha256=aafb5e1db07b37bbec47a8d60f3e024077b530df4d7cd3956feee0efaeb656d6\n",
+            "  Stored in directory: /root/.cache/pip/wheels/77/3d/a6/d317a6fb32be58a602b1e8c6b5d6f31f79322da554cad2a5ea\n",
+            "Successfully built apyori\n",
+            "Installing collected packages: apyori\n",
+            "Successfully installed apyori-1.1.2\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "58ZB1rCZUVfH"
+      },
+      "source": [
+        "### Result"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "0K7mijvHUW6Z",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "45f17557-452b-4a5d-93de-81ddb6a8d322"
+      },
+      "source": [
+        "results = list(rules)\n",
+        "results"
+      ],
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[RelationRecord(items=frozenset({'avocado', 'body spray'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'avocado'}), confidence=0.3333333333333333, lift=3.333333333333333)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'brownies'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'brownies'}), items_add=frozenset({'avocado'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'cider', 'avocado'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cider'}), items_add=frozenset({'avocado'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'fresh bread'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh bread'}), items_add=frozenset({'avocado'}), confidence=1.0, lift=10.0)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'grated cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'avocado'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'herb & pepper', 'avocado'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'avocado'}), confidence=0.3333333333333333, lift=3.333333333333333)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'hot dogs'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'hot dogs'}), items_add=frozenset({'avocado'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'muffins'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'muffins'}), items_add=frozenset({'avocado'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'pancakes', 'avocado'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pancakes'}), items_add=frozenset({'avocado'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'parmesan cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'parmesan cheese'}), items_add=frozenset({'avocado'}), confidence=1.0, lift=10.0)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'avocado'}), confidence=0.3333333333333333, lift=3.333333333333333)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'toothpaste'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'toothpaste'}), items_add=frozenset({'avocado'}), confidence=1.0, lift=10.0)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'white wine'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'white wine'}), items_add=frozenset({'avocado'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'whole wheat pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat pasta'}), items_add=frozenset({'avocado'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'avocado', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'avocado'}), confidence=0.3333333333333333, lift=3.333333333333333)]),\n",
+              " RelationRecord(items=frozenset({'burgers', 'black tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'burgers'}), confidence=0.3333333333333333, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'burgers'}), items_add=frozenset({'black tea'}), confidence=0.25, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'black tea', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'chicken'}), confidence=0.3333333333333333, lift=4.666666666666667), OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'black tea'}), confidence=0.2, lift=4.666666666666667)]),\n",
+              " RelationRecord(items=frozenset({'black tea', 'energy bar'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'energy bar'}), confidence=0.3333333333333333, lift=7.777777777777778), OrderedStatistic(items_base=frozenset({'energy bar'}), items_add=frozenset({'black tea'}), confidence=0.3333333333333333, lift=7.777777777777778)]),\n",
+              " RelationRecord(items=frozenset({'black tea', 'escalope'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'escalope'}), confidence=0.3333333333333333, lift=4.666666666666667), OrderedStatistic(items_base=frozenset({'escalope'}), items_add=frozenset({'black tea'}), confidence=0.2, lift=4.666666666666667)]),\n",
+              " RelationRecord(items=frozenset({'black tea', 'extra dark chocolate'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'extra dark chocolate'}), confidence=0.3333333333333333, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'extra dark chocolate'}), items_add=frozenset({'black tea'}), confidence=1.0, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'black tea', 'fresh tuna'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'fresh tuna'}), confidence=0.3333333333333333, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'black tea'}), confidence=0.25, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'black tea', 'frozen smoothie'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'frozen smoothie'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'black tea'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'black tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'ground beef'}), confidence=0.3333333333333333, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'black tea'}), confidence=0.25, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'black tea', 'milk'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'milk'}), confidence=0.3333333333333333, lift=3.888888888888889)]),\n",
+              " RelationRecord(items=frozenset({'black tea', 'salmon'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'salmon'}), confidence=0.6666666666666666, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'black tea'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'black tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'black tea'}), items_add=frozenset({'tomatoes'}), confidence=0.3333333333333333, lift=7.777777777777778), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'black tea'}), confidence=0.3333333333333333, lift=7.777777777777778)]),\n",
+              " RelationRecord(items=frozenset({'brownies', 'body spray'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'brownies'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'brownies'}), items_add=frozenset({'body spray'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'body spray', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'chicken'}), confidence=0.3333333333333333, lift=4.666666666666667), OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'body spray'}), confidence=0.2, lift=4.666666666666667)]),\n",
+              " RelationRecord(items=frozenset({'energy drink', 'body spray'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'energy drink'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'energy drink'}), items_add=frozenset({'body spray'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'green tea', 'body spray'}), support=0.04285714285714286, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'green tea'}), confidence=1.0, lift=7.0), OrderedStatistic(items_base=frozenset({'green tea'}), items_add=frozenset({'body spray'}), confidence=0.30000000000000004, lift=7.000000000000001)]),\n",
+              " RelationRecord(items=frozenset({'gums', 'body spray'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'gums'}), confidence=0.3333333333333333, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'gums'}), items_add=frozenset({'body spray'}), confidence=1.0, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'ham', 'body spray'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'ham'}), confidence=0.3333333333333333, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'ham'}), items_add=frozenset({'body spray'}), confidence=1.0, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'hot dogs', 'body spray'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'hot dogs'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'hot dogs'}), items_add=frozenset({'body spray'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'pancakes', 'body spray'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'pancakes'}), confidence=0.6666666666666666, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'pancakes'}), items_add=frozenset({'body spray'}), confidence=1.0, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'soda', 'body spray'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'soda'}), confidence=0.3333333333333333, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'soda'}), items_add=frozenset({'body spray'}), confidence=1.0, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'body spray'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'body spray'}), items_add=frozenset({'soup'}), confidence=0.6666666666666666, lift=6.666666666666666), OrderedStatistic(items_base=frozenset({'soup'}), items_add=frozenset({'body spray'}), confidence=0.2857142857142857, lift=6.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'brownies'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'brownies'}), items_add=frozenset({'chocolate'}), confidence=0.5, lift=3.8888888888888893)]),\n",
+              " RelationRecord(items=frozenset({'french fries', 'brownies'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'brownies'}), items_add=frozenset({'french fries'}), confidence=0.5, lift=3.8888888888888893)]),\n",
+              " RelationRecord(items=frozenset({'green tea', 'brownies'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'brownies'}), items_add=frozenset({'green tea'}), confidence=1.0, lift=7.0), OrderedStatistic(items_base=frozenset({'green tea'}), items_add=frozenset({'brownies'}), confidence=0.2, lift=7.000000000000001)]),\n",
+              " RelationRecord(items=frozenset({'hot dogs', 'brownies'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'brownies'}), items_add=frozenset({'hot dogs'}), confidence=0.5, lift=17.5), OrderedStatistic(items_base=frozenset({'hot dogs'}), items_add=frozenset({'brownies'}), confidence=0.5, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'pancakes', 'brownies'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'brownies'}), items_add=frozenset({'pancakes'}), confidence=0.5, lift=17.5), OrderedStatistic(items_base=frozenset({'pancakes'}), items_add=frozenset({'brownies'}), confidence=0.5, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'brownies'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'brownies'}), items_add=frozenset({'soup'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'white wine', 'brownies'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'brownies'}), items_add=frozenset({'white wine'}), confidence=0.5, lift=17.5), OrderedStatistic(items_base=frozenset({'white wine'}), items_add=frozenset({'brownies'}), confidence=0.5, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'bug spray', 'green tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'bug spray'}), items_add=frozenset({'green tea'}), confidence=0.5, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'bug spray', 'protein bar'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'bug spray'}), items_add=frozenset({'protein bar'}), confidence=0.5, lift=17.5), OrderedStatistic(items_base=frozenset({'protein bar'}), items_add=frozenset({'bug spray'}), confidence=0.5, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'shallot', 'bug spray'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'bug spray'}), items_add=frozenset({'shallot'}), confidence=0.5, lift=17.5), OrderedStatistic(items_base=frozenset({'shallot'}), items_add=frozenset({'bug spray'}), confidence=0.5, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'bug spray'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'bug spray'}), items_add=frozenset({'soup'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'burgers', 'cooking oil'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'burgers'}), items_add=frozenset({'cooking oil'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'cooking oil'}), items_add=frozenset({'burgers'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'burgers', 'grated cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'burgers'}), items_add=frozenset({'grated cheese'}), confidence=0.25, lift=8.75), OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'burgers'}), confidence=0.5, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'burgers', 'honey'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'burgers'}), items_add=frozenset({'honey'}), confidence=0.25, lift=4.375), OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'burgers'}), confidence=0.25, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'burgers', 'meatballs'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'burgers'}), items_add=frozenset({'meatballs'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'meatballs'}), items_add=frozenset({'burgers'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'burgers', 'pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'burgers'}), items_add=frozenset({'pasta'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'burgers'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'burgers', 'shrimp'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'burgers'}), items_add=frozenset({'shrimp'}), confidence=0.25, lift=4.375), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'burgers'}), confidence=0.25, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'burgers', 'toothpaste'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'burgers'}), items_add=frozenset({'toothpaste'}), confidence=0.25, lift=17.5), OrderedStatistic(items_base=frozenset({'toothpaste'}), items_add=frozenset({'burgers'}), confidence=1.0, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'burgers', 'white wine'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'burgers'}), items_add=frozenset({'white wine'}), confidence=0.25, lift=8.75), OrderedStatistic(items_base=frozenset({'white wine'}), items_add=frozenset({'burgers'}), confidence=0.5, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'cake', 'cottage cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cake'}), items_add=frozenset({'cottage cheese'}), confidence=1.0, lift=70.0), OrderedStatistic(items_base=frozenset({'cottage cheese'}), items_add=frozenset({'cake'}), confidence=1.0, lift=70.0)]),\n",
+              " RelationRecord(items=frozenset({'mineral water', 'cake'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cake'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'cereals', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cereals'}), items_add=frozenset({'chicken'}), confidence=1.0, lift=14.0), OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'cereals'}), confidence=0.2, lift=14.000000000000002)]),\n",
+              " RelationRecord(items=frozenset({'cereals', 'clothes accessories'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cereals'}), items_add=frozenset({'clothes accessories'}), confidence=1.0, lift=35.0), OrderedStatistic(items_base=frozenset({'clothes accessories'}), items_add=frozenset({'cereals'}), confidence=0.5, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'mineral water', 'cereals'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cereals'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'champagne', 'cookies'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'champagne'}), items_add=frozenset({'cookies'}), confidence=0.3333333333333333, lift=4.666666666666667), OrderedStatistic(items_base=frozenset({'cookies'}), items_add=frozenset({'champagne'}), confidence=0.2, lift=4.666666666666667)]),\n",
+              " RelationRecord(items=frozenset({'escalope', 'champagne'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'champagne'}), items_add=frozenset({'escalope'}), confidence=0.3333333333333333, lift=4.666666666666667), OrderedStatistic(items_base=frozenset({'escalope'}), items_add=frozenset({'champagne'}), confidence=0.2, lift=4.666666666666667)]),\n",
+              " RelationRecord(items=frozenset({'pickles', 'champagne'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'champagne'}), items_add=frozenset({'pickles'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'pickles'}), items_add=frozenset({'champagne'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'chicken'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'chocolate'}), confidence=0.4, lift=3.1111111111111116), OrderedStatistic(items_base=frozenset({'chocolate'}), items_add=frozenset({'chicken'}), confidence=0.22222222222222224, lift=3.1111111111111116)]),\n",
+              " RelationRecord(items=frozenset({'clothes accessories', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'clothes accessories'}), confidence=0.2, lift=7.000000000000001), OrderedStatistic(items_base=frozenset({'clothes accessories'}), items_add=frozenset({'chicken'}), confidence=0.5, lift=7.0)]),\n",
+              " RelationRecord(items=frozenset({'cooking oil', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'cooking oil'}), confidence=0.2, lift=4.666666666666667), OrderedStatistic(items_base=frozenset({'cooking oil'}), items_add=frozenset({'chicken'}), confidence=0.3333333333333333, lift=4.666666666666667)]),\n",
+              " RelationRecord(items=frozenset({'energy drink', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'energy drink'}), confidence=0.2, lift=7.000000000000001), OrderedStatistic(items_base=frozenset({'energy drink'}), items_add=frozenset({'chicken'}), confidence=0.5, lift=7.0)]),\n",
+              " RelationRecord(items=frozenset({'extra dark chocolate', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'extra dark chocolate'}), confidence=0.2, lift=14.000000000000002), OrderedStatistic(items_base=frozenset({'extra dark chocolate'}), items_add=frozenset({'chicken'}), confidence=1.0, lift=14.0)]),\n",
+              " RelationRecord(items=frozenset({'fresh tuna', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'fresh tuna'}), confidence=0.2, lift=3.5000000000000004), OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'chicken'}), confidence=0.25, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'gums', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'gums'}), confidence=0.2, lift=14.000000000000002), OrderedStatistic(items_base=frozenset({'gums'}), items_add=frozenset({'chicken'}), confidence=1.0, lift=14.0)]),\n",
+              " RelationRecord(items=frozenset({'honey', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'honey'}), confidence=0.2, lift=3.5000000000000004), OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'chicken'}), confidence=0.25, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'low fat yogurt', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'low fat yogurt'}), confidence=0.2, lift=7.000000000000001), OrderedStatistic(items_base=frozenset({'low fat yogurt'}), items_add=frozenset({'chicken'}), confidence=0.5, lift=7.0)]),\n",
+              " RelationRecord(items=frozenset({'oil', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'oil'}), confidence=0.2, lift=14.000000000000002), OrderedStatistic(items_base=frozenset({'oil'}), items_add=frozenset({'chicken'}), confidence=1.0, lift=14.0)]),\n",
+              " RelationRecord(items=frozenset({'salmon', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'salmon'}), confidence=0.2, lift=3.5000000000000004), OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'chicken'}), confidence=0.25, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'shrimp', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'shrimp'}), confidence=0.2, lift=3.5000000000000004), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'chicken'}), confidence=0.25, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'soda', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'soda'}), confidence=0.2, lift=14.000000000000002), OrderedStatistic(items_base=frozenset({'soda'}), items_add=frozenset({'chicken'}), confidence=1.0, lift=14.0)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'chicken'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chicken'}), items_add=frozenset({'tomatoes'}), confidence=0.2, lift=4.666666666666667), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'chicken'}), confidence=0.3333333333333333, lift=4.666666666666667)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'low fat yogurt'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'low fat yogurt'}), items_add=frozenset({'chocolate'}), confidence=0.5, lift=3.8888888888888893)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'oil'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'oil'}), items_add=frozenset({'chocolate'}), confidence=1.0, lift=7.777777777777779)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'olive oil'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil'}), items_add=frozenset({'chocolate'}), confidence=1.0, lift=7.777777777777779)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'pepper'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pepper'}), items_add=frozenset({'chocolate'}), confidence=1.0, lift=7.777777777777779)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'red wine'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'red wine'}), items_add=frozenset({'chocolate'}), confidence=0.5, lift=3.8888888888888893)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'shampoo'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'shampoo'}), items_add=frozenset({'chocolate'}), confidence=1.0, lift=7.777777777777779)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'shrimp'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'chocolate'}), items_add=frozenset({'shrimp'}), confidence=0.22222222222222224, lift=3.8888888888888893), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'chocolate'}), confidence=0.5, lift=3.8888888888888893)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'strong cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'strong cheese'}), items_add=frozenset({'chocolate'}), confidence=1.0, lift=7.777777777777779)]),\n",
+              " RelationRecord(items=frozenset({'chocolate', 'white wine'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'white wine'}), items_add=frozenset({'chocolate'}), confidence=0.5, lift=3.8888888888888893)]),\n",
+              " RelationRecord(items=frozenset({'cider', 'cooking oil'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cider'}), items_add=frozenset({'cooking oil'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'cooking oil'}), items_add=frozenset({'cider'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'cider', 'frozen vegetables'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cider'}), items_add=frozenset({'frozen vegetables'}), confidence=0.5, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'cider', 'green tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cider'}), items_add=frozenset({'green tea'}), confidence=0.5, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'cider', 'ground beef'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cider'}), items_add=frozenset({'ground beef'}), confidence=0.5, lift=8.75), OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'cider'}), confidence=0.25, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'cider', 'herb & pepper'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cider'}), items_add=frozenset({'herb & pepper'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'cider'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'cider', 'mineral water'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cider'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'cider', 'turkey'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cider'}), items_add=frozenset({'turkey'}), confidence=0.5, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'cider', 'whole wheat pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cider'}), items_add=frozenset({'whole wheat pasta'}), confidence=0.5, lift=17.5), OrderedStatistic(items_base=frozenset({'whole wheat pasta'}), items_add=frozenset({'cider'}), confidence=0.5, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'cider', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cider'}), items_add=frozenset({'whole wheat rice'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'cider'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'cooking oil', 'frozen vegetables'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cooking oil'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3333333333333333, lift=3.888888888888889)]),\n",
+              " RelationRecord(items=frozenset({'cooking oil', 'honey'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cooking oil'}), items_add=frozenset({'honey'}), confidence=0.3333333333333333, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'cooking oil'}), confidence=0.25, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'cooking oil', 'low fat yogurt'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cooking oil'}), items_add=frozenset({'low fat yogurt'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'low fat yogurt'}), items_add=frozenset({'cooking oil'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'cooking oil', 'oil'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cooking oil'}), items_add=frozenset({'oil'}), confidence=0.3333333333333333, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'oil'}), items_add=frozenset({'cooking oil'}), confidence=1.0, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'cooking oil', 'shrimp'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cooking oil'}), items_add=frozenset({'shrimp'}), confidence=0.3333333333333333, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'cooking oil'}), confidence=0.25, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'cooking oil', 'turkey'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cooking oil'}), items_add=frozenset({'turkey'}), confidence=0.6666666666666666, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'turkey'}), items_add=frozenset({'cooking oil'}), confidence=0.25, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'grated cheese', 'corn'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'corn'}), items_add=frozenset({'grated cheese'}), confidence=1.0, lift=35.0), OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'corn'}), confidence=0.5, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'herb & pepper', 'corn'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'corn'}), items_add=frozenset({'herb & pepper'}), confidence=1.0, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'corn'}), confidence=0.3333333333333333, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'corn', 'tomato sauce'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'corn'}), items_add=frozenset({'tomato sauce'}), confidence=1.0, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'tomato sauce'}), items_add=frozenset({'corn'}), confidence=0.3333333333333333, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'corn'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'corn'}), items_add=frozenset({'tomatoes'}), confidence=1.0, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'corn'}), confidence=0.3333333333333333, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'mineral water', 'cottage cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'cottage cheese'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'eggs', 'extra dark chocolate'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'extra dark chocolate'}), items_add=frozenset({'eggs'}), confidence=1.0, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'eggs', 'pepper'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pepper'}), items_add=frozenset({'eggs'}), confidence=1.0, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'pet food', 'eggs'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pet food'}), items_add=frozenset({'eggs'}), confidence=1.0, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'shampoo', 'eggs'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'shampoo'}), items_add=frozenset({'eggs'}), confidence=1.0, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'energy bar', 'escalope'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'energy bar'}), items_add=frozenset({'escalope'}), confidence=0.3333333333333333, lift=4.666666666666667), OrderedStatistic(items_base=frozenset({'escalope'}), items_add=frozenset({'energy bar'}), confidence=0.2, lift=4.666666666666667)]),\n",
+              " RelationRecord(items=frozenset({'energy bar', 'frozen smoothie'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'energy bar'}), items_add=frozenset({'frozen smoothie'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'energy bar'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'energy bar'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'energy bar'}), items_add=frozenset({'ground beef'}), confidence=0.3333333333333333, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'energy bar'}), confidence=0.25, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'energy bar', 'milk'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'energy bar'}), items_add=frozenset({'milk'}), confidence=0.6666666666666666, lift=7.777777777777778), OrderedStatistic(items_base=frozenset({'milk'}), items_add=frozenset({'energy bar'}), confidence=0.3333333333333333, lift=7.777777777777778)]),\n",
+              " RelationRecord(items=frozenset({'energy bar', 'salmon'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'energy bar'}), items_add=frozenset({'salmon'}), confidence=0.3333333333333333, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'energy bar'}), confidence=0.25, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'energy bar', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'energy bar'}), items_add=frozenset({'whole wheat rice'}), confidence=0.3333333333333333, lift=7.777777777777778), OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'energy bar'}), confidence=0.3333333333333333, lift=7.777777777777778)]),\n",
+              " RelationRecord(items=frozenset({'energy drink', 'green tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'energy drink'}), items_add=frozenset({'green tea'}), confidence=0.5, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'energy drink', 'gums'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'energy drink'}), items_add=frozenset({'gums'}), confidence=0.5, lift=35.0), OrderedStatistic(items_base=frozenset({'gums'}), items_add=frozenset({'energy drink'}), confidence=1.0, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'soda', 'energy drink'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'energy drink'}), items_add=frozenset({'soda'}), confidence=0.5, lift=35.0), OrderedStatistic(items_base=frozenset({'soda'}), items_add=frozenset({'energy drink'}), confidence=1.0, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'energy drink', 'soup'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'energy drink'}), items_add=frozenset({'soup'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'escalope', 'fresh tuna'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'escalope'}), items_add=frozenset({'fresh tuna'}), confidence=0.2, lift=3.5000000000000004), OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'escalope'}), confidence=0.25, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'escalope', 'frozen smoothie'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'escalope'}), items_add=frozenset({'frozen smoothie'}), confidence=0.4, lift=14.000000000000002), OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'escalope'}), confidence=1.0, lift=14.0)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'escalope'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'escalope'}), items_add=frozenset({'ground beef'}), confidence=0.2, lift=3.5000000000000004), OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'escalope'}), confidence=0.25, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'escalope', 'honey'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'escalope'}), items_add=frozenset({'honey'}), confidence=0.2, lift=3.5000000000000004), OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'escalope'}), confidence=0.25, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'pickles', 'escalope'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'escalope'}), items_add=frozenset({'pickles'}), confidence=0.2, lift=7.000000000000001), OrderedStatistic(items_base=frozenset({'pickles'}), items_add=frozenset({'escalope'}), confidence=0.5, lift=7.0)]),\n",
+              " RelationRecord(items=frozenset({'escalope', 'salmon'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'escalope'}), items_add=frozenset({'salmon'}), confidence=0.4, lift=7.000000000000001), OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'escalope'}), confidence=0.5, lift=7.0)]),\n",
+              " RelationRecord(items=frozenset({'escalope', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'escalope'}), items_add=frozenset({'whole wheat rice'}), confidence=0.2, lift=4.666666666666667), OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'escalope'}), confidence=0.3333333333333333, lift=4.666666666666667)]),\n",
+              " RelationRecord(items=frozenset({'extra dark chocolate', 'fresh tuna'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'extra dark chocolate'}), items_add=frozenset({'fresh tuna'}), confidence=1.0, lift=17.5), OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'extra dark chocolate'}), confidence=0.25, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'mineral water', 'extra dark chocolate'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'extra dark chocolate'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'extra dark chocolate', 'salmon'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'extra dark chocolate'}), items_add=frozenset({'salmon'}), confidence=1.0, lift=17.5), OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'extra dark chocolate'}), confidence=0.25, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'spaghetti', 'extra dark chocolate'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'extra dark chocolate'}), items_add=frozenset({'spaghetti'}), confidence=1.0, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'extra dark chocolate'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'extra dark chocolate'}), items_add=frozenset({'tomatoes'}), confidence=1.0, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'extra dark chocolate'}), confidence=0.3333333333333333, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'turkey', 'extra dark chocolate'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'extra dark chocolate'}), items_add=frozenset({'turkey'}), confidence=1.0, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'hot dogs', 'french fries'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'hot dogs'}), items_add=frozenset({'french fries'}), confidence=0.5, lift=3.8888888888888893)]),\n",
+              " RelationRecord(items=frozenset({'pancakes', 'french fries'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pancakes'}), items_add=frozenset({'french fries'}), confidence=0.5, lift=3.8888888888888893)]),\n",
+              " RelationRecord(items=frozenset({'french fries', 'protein bar'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'protein bar'}), items_add=frozenset({'french fries'}), confidence=0.5, lift=3.8888888888888893)]),\n",
+              " RelationRecord(items=frozenset({'french fries', 'strawberries'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'strawberries'}), items_add=frozenset({'french fries'}), confidence=1.0, lift=7.777777777777779)]),\n",
+              " RelationRecord(items=frozenset({'french fries', 'whole wheat pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat pasta'}), items_add=frozenset({'french fries'}), confidence=0.5, lift=3.8888888888888893)]),\n",
+              " RelationRecord(items=frozenset({'fresh bread', 'milk'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh bread'}), items_add=frozenset({'milk'}), confidence=1.0, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'fresh bread', 'parmesan cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh bread'}), items_add=frozenset({'parmesan cheese'}), confidence=1.0, lift=70.0), OrderedStatistic(items_base=frozenset({'parmesan cheese'}), items_add=frozenset({'fresh bread'}), confidence=1.0, lift=70.0)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'fresh bread'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh bread'}), items_add=frozenset({'soup'}), confidence=1.0, lift=10.0)]),\n",
+              " RelationRecord(items=frozenset({'fresh bread', 'spaghetti'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh bread'}), items_add=frozenset({'spaghetti'}), confidence=1.0, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'frozen smoothie', 'fresh tuna'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'frozen smoothie'}), confidence=0.25, lift=8.75), OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'fresh tuna'}), confidence=0.5, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'fresh tuna', 'frozen vegetables'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'frozen vegetables'}), confidence=0.5, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'frozen vegetables'}), items_add=frozenset({'fresh tuna'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'fresh tuna'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'ground beef'}), confidence=0.25, lift=4.375), OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'fresh tuna'}), confidence=0.25, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'honey', 'fresh tuna'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'honey'}), confidence=0.25, lift=4.375), OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'fresh tuna'}), confidence=0.25, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'mineral water', 'fresh tuna'}), support=0.05714285714285714, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579), OrderedStatistic(items_base=frozenset({'mineral water'}), items_add=frozenset({'fresh tuna'}), confidence=0.2105263157894737, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'olive oil', 'fresh tuna'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'olive oil'}), confidence=0.25, lift=17.5), OrderedStatistic(items_base=frozenset({'olive oil'}), items_add=frozenset({'fresh tuna'}), confidence=1.0, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'fresh tuna', 'salmon'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'salmon'}), confidence=0.25, lift=4.375), OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'fresh tuna'}), confidence=0.25, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'spaghetti', 'fresh tuna'}), support=0.04285714285714286, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'spaghetti'}), confidence=0.75, lift=3.28125)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'fresh tuna'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'tomatoes'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'fresh tuna'}), confidence=0.6666666666666666, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'turkey', 'fresh tuna'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'turkey'}), confidence=0.5, lift=4.375), OrderedStatistic(items_base=frozenset({'turkey'}), items_add=frozenset({'fresh tuna'}), confidence=0.25, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'fresh tuna', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'fresh tuna'}), items_add=frozenset({'whole wheat rice'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'fresh tuna'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'frozen smoothie', 'frozen vegetables'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'frozen vegetables'}), confidence=0.5, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'frozen smoothie'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'ground beef'}), confidence=0.5, lift=8.75), OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'frozen smoothie'}), confidence=0.25, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'honey', 'frozen smoothie'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'honey'}), confidence=0.5, lift=8.75), OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'frozen smoothie'}), confidence=0.25, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'milk', 'frozen smoothie'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'milk'}), confidence=0.5, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'mineral water', 'frozen smoothie'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'frozen smoothie', 'salmon'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'salmon'}), confidence=0.5, lift=8.75), OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'frozen smoothie'}), confidence=0.25, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'spaghetti', 'frozen smoothie'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'spaghetti'}), confidence=1.0, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'frozen smoothie', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'frozen smoothie'}), items_add=frozenset({'whole wheat rice'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'frozen smoothie'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'olive oil', 'frozen vegetables'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil'}), items_add=frozenset({'frozen vegetables'}), confidence=1.0, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'strong cheese', 'frozen vegetables'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'strong cheese'}), items_add=frozenset({'frozen vegetables'}), confidence=1.0, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'frozen vegetables'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3333333333333333, lift=3.888888888888889)]),\n",
+              " RelationRecord(items=frozenset({'frozen vegetables', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'frozen vegetables'}), confidence=0.3333333333333333, lift=3.888888888888889)]),\n",
+              " RelationRecord(items=frozenset({'yams', 'frozen vegetables'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'yams'}), items_add=frozenset({'frozen vegetables'}), confidence=1.0, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'herb & pepper', 'grated cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'herb & pepper'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'grated cheese'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'grated cheese', 'honey'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'honey'}), confidence=0.5, lift=8.75), OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'grated cheese'}), confidence=0.25, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'grated cheese', 'pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'pasta'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'grated cheese'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'grated cheese', 'shrimp'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'shrimp'}), confidence=0.5, lift=8.75), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'grated cheese'}), confidence=0.25, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'grated cheese', 'tomato sauce'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'tomato sauce'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'tomato sauce'}), items_add=frozenset({'grated cheese'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'grated cheese', 'tomatoes'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'tomatoes'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'grated cheese'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'grated cheese', 'toothpaste'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'toothpaste'}), confidence=0.5, lift=35.0), OrderedStatistic(items_base=frozenset({'toothpaste'}), items_add=frozenset({'grated cheese'}), confidence=1.0, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'grated cheese', 'white wine'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'grated cheese'}), items_add=frozenset({'white wine'}), confidence=0.5, lift=17.5), OrderedStatistic(items_base=frozenset({'white wine'}), items_add=frozenset({'grated cheese'}), confidence=0.5, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'gums', 'green tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'gums'}), items_add=frozenset({'green tea'}), confidence=1.0, lift=7.0)]),\n",
+              " RelationRecord(items=frozenset({'ham', 'green tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ham'}), items_add=frozenset({'green tea'}), confidence=1.0, lift=7.0)]),\n",
+              " RelationRecord(items=frozenset({'hot dogs', 'green tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'hot dogs'}), items_add=frozenset({'green tea'}), confidence=0.5, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'pancakes', 'green tea'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'green tea'}), items_add=frozenset({'pancakes'}), confidence=0.2, lift=7.000000000000001), OrderedStatistic(items_base=frozenset({'pancakes'}), items_add=frozenset({'green tea'}), confidence=1.0, lift=7.0)]),\n",
+              " RelationRecord(items=frozenset({'pickles', 'green tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pickles'}), items_add=frozenset({'green tea'}), confidence=0.5, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'green tea', 'protein bar'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'protein bar'}), items_add=frozenset({'green tea'}), confidence=0.5, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'shallot', 'green tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'shallot'}), items_add=frozenset({'green tea'}), confidence=0.5, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'soda', 'green tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'soda'}), items_add=frozenset({'green tea'}), confidence=1.0, lift=7.0)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'green tea'}), support=0.04285714285714286, ordered_statistics=[OrderedStatistic(items_base=frozenset({'green tea'}), items_add=frozenset({'soup'}), confidence=0.30000000000000004, lift=3.0000000000000004), OrderedStatistic(items_base=frozenset({'soup'}), items_add=frozenset({'green tea'}), confidence=0.42857142857142855, lift=3.0)]),\n",
+              " RelationRecord(items=frozenset({'white wine', 'green tea'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'white wine'}), items_add=frozenset({'green tea'}), confidence=0.5, lift=3.5)]),\n",
+              " RelationRecord(items=frozenset({'herb & pepper', 'ground beef'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'herb & pepper'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'ground beef'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'milk'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'milk'}), confidence=0.5, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'milk'}), items_add=frozenset({'ground beef'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'mineral water'}), support=0.05714285714285714, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579), OrderedStatistic(items_base=frozenset({'mineral water'}), items_add=frozenset({'ground beef'}), confidence=0.2105263157894737, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'olive oil'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'olive oil'}), confidence=0.25, lift=17.5), OrderedStatistic(items_base=frozenset({'olive oil'}), items_add=frozenset({'ground beef'}), confidence=1.0, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'red wine'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'red wine'}), confidence=0.25, lift=8.75), OrderedStatistic(items_base=frozenset({'red wine'}), items_add=frozenset({'ground beef'}), confidence=0.5, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'salmon'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'salmon'}), confidence=0.25, lift=4.375), OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'ground beef'}), confidence=0.25, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'ground beef'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'tomatoes'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'ground beef'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'whole wheat pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'whole wheat pasta'}), confidence=0.25, lift=8.75), OrderedStatistic(items_base=frozenset({'whole wheat pasta'}), items_add=frozenset({'ground beef'}), confidence=0.5, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'ground beef', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ground beef'}), items_add=frozenset({'whole wheat rice'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'ground beef'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'soda', 'gums'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'gums'}), items_add=frozenset({'soda'}), confidence=1.0, lift=70.0), OrderedStatistic(items_base=frozenset({'soda'}), items_add=frozenset({'gums'}), confidence=1.0, lift=70.0)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'gums'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'gums'}), items_add=frozenset({'soup'}), confidence=1.0, lift=10.0)]),\n",
+              " RelationRecord(items=frozenset({'mineral water', 'ham'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ham'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'pancakes', 'ham'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ham'}), items_add=frozenset({'pancakes'}), confidence=1.0, lift=35.0), OrderedStatistic(items_base=frozenset({'pancakes'}), items_add=frozenset({'ham'}), confidence=0.5, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'spaghetti', 'ham'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'ham'}), items_add=frozenset({'spaghetti'}), confidence=1.0, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'herb & pepper', 'light cream'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'light cream'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'light cream'}), items_add=frozenset({'herb & pepper'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'herb & pepper', 'magazines'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'magazines'}), confidence=0.3333333333333333, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'magazines'}), items_add=frozenset({'herb & pepper'}), confidence=1.0, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'herb & pepper', 'tomato sauce'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'tomato sauce'}), confidence=0.6666666666666666, lift=15.555555555555555), OrderedStatistic(items_base=frozenset({'tomato sauce'}), items_add=frozenset({'herb & pepper'}), confidence=0.6666666666666666, lift=15.555555555555555)]),\n",
+              " RelationRecord(items=frozenset({'herb & pepper', 'tomatoes'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'tomatoes'}), confidence=0.3333333333333333, lift=7.777777777777778), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'herb & pepper'}), confidence=0.3333333333333333, lift=7.777777777777778)]),\n",
+              " RelationRecord(items=frozenset({'herb & pepper', 'whole wheat pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'whole wheat pasta'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'whole wheat pasta'}), items_add=frozenset({'herb & pepper'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'herb & pepper', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'herb & pepper'}), items_add=frozenset({'whole wheat rice'}), confidence=0.3333333333333333, lift=7.777777777777778), OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'herb & pepper'}), confidence=0.3333333333333333, lift=7.777777777777778)]),\n",
+              " RelationRecord(items=frozenset({'low fat yogurt', 'honey'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'low fat yogurt'}), confidence=0.25, lift=8.75), OrderedStatistic(items_base=frozenset({'low fat yogurt'}), items_add=frozenset({'honey'}), confidence=0.5, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'meatballs', 'honey'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'meatballs'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'meatballs'}), items_add=frozenset({'honey'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'oil', 'honey'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'oil'}), confidence=0.25, lift=17.5), OrderedStatistic(items_base=frozenset({'oil'}), items_add=frozenset({'honey'}), confidence=1.0, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'honey', 'pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'pasta'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'honey'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'honey', 'protein bar'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'protein bar'}), confidence=0.25, lift=8.75), OrderedStatistic(items_base=frozenset({'protein bar'}), items_add=frozenset({'honey'}), confidence=0.5, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'honey', 'shrimp'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'shrimp'}), confidence=0.5, lift=8.75), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'honey'}), confidence=0.5, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'honey', 'toothpaste'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'toothpaste'}), confidence=0.25, lift=17.5), OrderedStatistic(items_base=frozenset({'toothpaste'}), items_add=frozenset({'honey'}), confidence=1.0, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'white wine', 'honey'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'white wine'}), confidence=0.25, lift=8.75), OrderedStatistic(items_base=frozenset({'white wine'}), items_add=frozenset({'honey'}), confidence=0.5, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'honey', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'honey'}), items_add=frozenset({'whole wheat rice'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'honey'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'meatballs', 'hot dogs'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'hot dogs'}), items_add=frozenset({'meatballs'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'meatballs'}), items_add=frozenset({'hot dogs'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'pancakes', 'hot dogs'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'hot dogs'}), items_add=frozenset({'pancakes'}), confidence=0.5, lift=17.5), OrderedStatistic(items_base=frozenset({'pancakes'}), items_add=frozenset({'hot dogs'}), confidence=0.5, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'hot dogs'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'hot dogs'}), items_add=frozenset({'soup'}), confidence=1.0, lift=10.0), OrderedStatistic(items_base=frozenset({'soup'}), items_add=frozenset({'hot dogs'}), confidence=0.2857142857142857, lift=10.0)]),\n",
+              " RelationRecord(items=frozenset({'hot dogs', 'sparkling water'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'hot dogs'}), items_add=frozenset({'sparkling water'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'sparkling water'}), items_add=frozenset({'hot dogs'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'magazines', 'light cream'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'light cream'}), items_add=frozenset({'magazines'}), confidence=0.5, lift=35.0), OrderedStatistic(items_base=frozenset({'magazines'}), items_add=frozenset({'light cream'}), confidence=1.0, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'shallot', 'light cream'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'light cream'}), items_add=frozenset({'shallot'}), confidence=0.5, lift=17.5), OrderedStatistic(items_base=frozenset({'shallot'}), items_add=frozenset({'light cream'}), confidence=0.5, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'light cream'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'light cream'}), items_add=frozenset({'soup'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'light cream', 'tomato sauce'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'light cream'}), items_add=frozenset({'tomato sauce'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'tomato sauce'}), items_add=frozenset({'light cream'}), confidence=0.3333333333333333, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'light mayo', 'tomato sauce'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'light mayo'}), items_add=frozenset({'tomato sauce'}), confidence=1.0, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'tomato sauce'}), items_add=frozenset({'light mayo'}), confidence=0.3333333333333333, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'oil', 'low fat yogurt'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'low fat yogurt'}), items_add=frozenset({'oil'}), confidence=0.5, lift=35.0), OrderedStatistic(items_base=frozenset({'oil'}), items_add=frozenset({'low fat yogurt'}), confidence=1.0, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'low fat yogurt', 'shrimp'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'low fat yogurt'}), items_add=frozenset({'shrimp'}), confidence=0.5, lift=8.75), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'low fat yogurt'}), confidence=0.25, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'magazines', 'tomato sauce'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'magazines'}), items_add=frozenset({'tomato sauce'}), confidence=1.0, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'tomato sauce'}), items_add=frozenset({'magazines'}), confidence=0.3333333333333333, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'meatballs', 'milk'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'meatballs'}), items_add=frozenset({'milk'}), confidence=0.3333333333333333, lift=3.888888888888889)]),\n",
+              " RelationRecord(items=frozenset({'meatballs', 'protein bar'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'meatballs'}), items_add=frozenset({'protein bar'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'protein bar'}), items_add=frozenset({'meatballs'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'meatballs', 'soup'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'meatballs'}), items_add=frozenset({'soup'}), confidence=0.3333333333333333, lift=3.333333333333333)]),\n",
+              " RelationRecord(items=frozenset({'meatballs', 'sparkling water'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'meatballs'}), items_add=frozenset({'sparkling water'}), confidence=0.3333333333333333, lift=7.777777777777778), OrderedStatistic(items_base=frozenset({'sparkling water'}), items_add=frozenset({'meatballs'}), confidence=0.3333333333333333, lift=7.777777777777778)]),\n",
+              " RelationRecord(items=frozenset({'milk', 'olive oil'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil'}), items_add=frozenset({'milk'}), confidence=1.0, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'milk', 'parmesan cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'parmesan cheese'}), items_add=frozenset({'milk'}), confidence=1.0, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'milk', 'protein bar'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'protein bar'}), items_add=frozenset({'milk'}), confidence=0.5, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'milk'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'milk'}), items_add=frozenset({'soup'}), confidence=0.3333333333333333, lift=3.333333333333333), OrderedStatistic(items_base=frozenset({'soup'}), items_add=frozenset({'milk'}), confidence=0.2857142857142857, lift=3.333333333333333)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'milk'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'milk'}), confidence=0.3333333333333333, lift=3.888888888888889)]),\n",
+              " RelationRecord(items=frozenset({'milk', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'milk'}), confidence=0.3333333333333333, lift=3.888888888888889)]),\n",
+              " RelationRecord(items=frozenset({'olive oil', 'mineral water'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'mineral water', 'whole wheat rice'}), support=0.04285714285714286, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'mineral water', 'yams'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'yams'}), items_add=frozenset({'mineral water'}), confidence=1.0, lift=3.68421052631579)]),\n",
+              " RelationRecord(items=frozenset({'oil', 'shrimp'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'oil'}), items_add=frozenset({'shrimp'}), confidence=1.0, lift=17.5), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'oil'}), confidence=0.25, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'olive oil'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil'}), items_add=frozenset({'soup'}), confidence=1.0, lift=10.0)]),\n",
+              " RelationRecord(items=frozenset({'olive oil', 'spaghetti'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil'}), items_add=frozenset({'spaghetti'}), confidence=1.0, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'olive oil'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil'}), items_add=frozenset({'tomatoes'}), confidence=1.0, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'olive oil'}), confidence=0.3333333333333333, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'turkey', 'olive oil'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'olive oil'}), items_add=frozenset({'turkey'}), confidence=1.0, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'pancakes', 'soup'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pancakes'}), items_add=frozenset({'soup'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'parmesan cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'parmesan cheese'}), items_add=frozenset({'soup'}), confidence=1.0, lift=10.0)]),\n",
+              " RelationRecord(items=frozenset({'spaghetti', 'parmesan cheese'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'parmesan cheese'}), items_add=frozenset({'spaghetti'}), confidence=1.0, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'pepper', 'pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'pepper'}), confidence=0.3333333333333333, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'pepper'}), items_add=frozenset({'pasta'}), confidence=1.0, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'red wine', 'pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'red wine'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'red wine'}), items_add=frozenset({'pasta'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'shampoo', 'pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'shampoo'}), confidence=0.3333333333333333, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'shampoo'}), items_add=frozenset({'pasta'}), confidence=1.0, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'pasta', 'shrimp'}), support=0.04285714285714286, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'shrimp'}), confidence=1.0, lift=17.5), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'pasta'}), confidence=0.75, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'toothpaste', 'pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'toothpaste'}), confidence=0.3333333333333333, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'toothpaste'}), items_add=frozenset({'pasta'}), confidence=1.0, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'white wine', 'pasta'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pasta'}), items_add=frozenset({'white wine'}), confidence=0.3333333333333333, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'white wine'}), items_add=frozenset({'pasta'}), confidence=0.5, lift=11.666666666666666)]),\n",
+              " RelationRecord(items=frozenset({'red wine', 'pepper'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pepper'}), items_add=frozenset({'red wine'}), confidence=1.0, lift=35.0), OrderedStatistic(items_base=frozenset({'red wine'}), items_add=frozenset({'pepper'}), confidence=0.5, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'shampoo', 'pepper'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pepper'}), items_add=frozenset({'shampoo'}), confidence=1.0, lift=70.0), OrderedStatistic(items_base=frozenset({'shampoo'}), items_add=frozenset({'pepper'}), confidence=1.0, lift=70.0)]),\n",
+              " RelationRecord(items=frozenset({'pepper', 'shrimp'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pepper'}), items_add=frozenset({'shrimp'}), confidence=1.0, lift=17.5), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'pepper'}), confidence=0.25, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'pickles', 'salmon'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'pickles'}), items_add=frozenset({'salmon'}), confidence=0.5, lift=8.75), OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'pickles'}), confidence=0.25, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'shallot', 'protein bar'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'protein bar'}), items_add=frozenset({'shallot'}), confidence=0.5, lift=17.5), OrderedStatistic(items_base=frozenset({'shallot'}), items_add=frozenset({'protein bar'}), confidence=0.5, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'protein bar'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'protein bar'}), items_add=frozenset({'soup'}), confidence=0.5, lift=5.0)]),\n",
+              " RelationRecord(items=frozenset({'shampoo', 'red wine'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'red wine'}), items_add=frozenset({'shampoo'}), confidence=0.5, lift=35.0), OrderedStatistic(items_base=frozenset({'shampoo'}), items_add=frozenset({'red wine'}), confidence=1.0, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'red wine', 'shrimp'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'red wine'}), items_add=frozenset({'shrimp'}), confidence=0.5, lift=8.75), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'red wine'}), confidence=0.25, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'sparkling water', 'rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'rice'}), items_add=frozenset({'sparkling water'}), confidence=1.0, lift=23.333333333333332), OrderedStatistic(items_base=frozenset({'sparkling water'}), items_add=frozenset({'rice'}), confidence=0.3333333333333333, lift=23.333333333333332)]),\n",
+              " RelationRecord(items=frozenset({'spaghetti', 'salmon'}), support=0.04285714285714286, ordered_statistics=[OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'spaghetti'}), confidence=0.75, lift=3.28125)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'salmon'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'salmon'}), items_add=frozenset({'tomatoes'}), confidence=0.25, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'salmon'}), confidence=0.3333333333333333, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'shallot', 'soup'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'shallot'}), items_add=frozenset({'soup'}), confidence=1.0, lift=10.0), OrderedStatistic(items_base=frozenset({'soup'}), items_add=frozenset({'shallot'}), confidence=0.2857142857142857, lift=10.0)]),\n",
+              " RelationRecord(items=frozenset({'shampoo', 'shrimp'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'shampoo'}), items_add=frozenset({'shrimp'}), confidence=1.0, lift=17.5), OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'shampoo'}), confidence=0.25, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'toothpaste', 'shrimp'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'toothpaste'}), confidence=0.25, lift=17.5), OrderedStatistic(items_base=frozenset({'toothpaste'}), items_add=frozenset({'shrimp'}), confidence=1.0, lift=17.5)]),\n",
+              " RelationRecord(items=frozenset({'white wine', 'shrimp'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'shrimp'}), items_add=frozenset({'white wine'}), confidence=0.25, lift=8.75), OrderedStatistic(items_base=frozenset({'white wine'}), items_add=frozenset({'shrimp'}), confidence=0.5, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'soda', 'soup'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'soda'}), items_add=frozenset({'soup'}), confidence=1.0, lift=10.0)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'sparkling water'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'sparkling water'}), items_add=frozenset({'soup'}), confidence=0.3333333333333333, lift=3.333333333333333)]),\n",
+              " RelationRecord(items=frozenset({'soup', 'tomatoes'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'soup'}), confidence=0.3333333333333333, lift=3.333333333333333)]),\n",
+              " RelationRecord(items=frozenset({'spaghetti', 'yams'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'yams'}), items_add=frozenset({'spaghetti'}), confidence=1.0, lift=4.375)]),\n",
+              " RelationRecord(items=frozenset({'turkey', 'strawberries'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'strawberries'}), items_add=frozenset({'turkey'}), confidence=1.0, lift=8.75)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'tomato sauce'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomato sauce'}), items_add=frozenset({'tomatoes'}), confidence=0.3333333333333333, lift=7.777777777777778), OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'tomato sauce'}), confidence=0.3333333333333333, lift=7.777777777777778)]),\n",
+              " RelationRecord(items=frozenset({'tomatoes', 'turkey'}), support=0.02857142857142857, ordered_statistics=[OrderedStatistic(items_base=frozenset({'tomatoes'}), items_add=frozenset({'turkey'}), confidence=0.6666666666666666, lift=5.833333333333333), OrderedStatistic(items_base=frozenset({'turkey'}), items_add=frozenset({'tomatoes'}), confidence=0.25, lift=5.833333333333333)]),\n",
+              " RelationRecord(items=frozenset({'white wine', 'toothpaste'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'toothpaste'}), items_add=frozenset({'white wine'}), confidence=1.0, lift=35.0), OrderedStatistic(items_base=frozenset({'white wine'}), items_add=frozenset({'toothpaste'}), confidence=0.5, lift=35.0)]),\n",
+              " RelationRecord(items=frozenset({'whole wheat pasta', 'whole wheat rice'}), support=0.014285714285714285, ordered_statistics=[OrderedStatistic(items_base=frozenset({'whole wheat pasta'}), items_add=frozenset({'whole wheat rice'}), confidence=0.5, lift=11.666666666666666), OrderedStatistic(items_base=frozenset({'whole wheat rice'}), items_add=frozenset({'whole wheat pasta'}), confidence=0.3333333333333333, lift=11.666666666666666)])]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 8
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "rTMd_brsUctX"
+      },
+      "source": [
+        "### Results in Dataframe"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "PXDHbM4aUdvc",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "outputId": "3f73d6b2-6206-4fad-ea2d-375c9187abd7"
+      },
+      "source": [
+        "lhs         = [tuple(result[2][0][0])[0] for result in results]\n",
+        "rhs         = [tuple(result[2][0][1])[0] for result in results]\n",
+        "supports    = [result[1] for result in results]\n",
+        "resultsinDataFrame = pd.DataFrame(zip(lhs, rhs, supports), columns = ['Left Hand Side', 'Right Hand Side', 'Support'])\n",
+        "resultsinDataFrame"
+      ],
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "        Left Hand Side   Right Hand Side   Support\n",
+              "0           body spray           avocado  0.014286\n",
+              "1             brownies           avocado  0.014286\n",
+              "2                cider           avocado  0.014286\n",
+              "3          fresh bread           avocado  0.014286\n",
+              "4        grated cheese           avocado  0.014286\n",
+              "..                 ...               ...       ...\n",
+              "271       strawberries            turkey  0.014286\n",
+              "272       tomato sauce          tomatoes  0.014286\n",
+              "273           tomatoes            turkey  0.028571\n",
+              "274         toothpaste        white wine  0.014286\n",
+              "275  whole wheat pasta  whole wheat rice  0.014286\n",
+              "\n",
+              "[276 rows x 3 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-d514b15e-150b-4bb1-9b2b-1c7573f1341b\" 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>Left Hand Side</th>\n",
+              "      <th>Right Hand Side</th>\n",
+              "      <th>Support</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>body spray</td>\n",
+              "      <td>avocado</td>\n",
+              "      <td>0.014286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>brownies</td>\n",
+              "      <td>avocado</td>\n",
+              "      <td>0.014286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>cider</td>\n",
+              "      <td>avocado</td>\n",
+              "      <td>0.014286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>fresh bread</td>\n",
+              "      <td>avocado</td>\n",
+              "      <td>0.014286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>grated cheese</td>\n",
+              "      <td>avocado</td>\n",
+              "      <td>0.014286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>271</th>\n",
+              "      <td>strawberries</td>\n",
+              "      <td>turkey</td>\n",
+              "      <td>0.014286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>272</th>\n",
+              "      <td>tomato sauce</td>\n",
+              "      <td>tomatoes</td>\n",
+              "      <td>0.014286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>273</th>\n",
+              "      <td>tomatoes</td>\n",
+              "      <td>turkey</td>\n",
+              "      <td>0.028571</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>274</th>\n",
+              "      <td>toothpaste</td>\n",
+              "      <td>white wine</td>\n",
+              "      <td>0.014286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>275</th>\n",
+              "      <td>whole wheat pasta</td>\n",
+              "      <td>whole wheat rice</td>\n",
+              "      <td>0.014286</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>276 rows × 3 columns</p>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d514b15e-150b-4bb1-9b2b-1c7573f1341b')\"\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 -960 960 960\">\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
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+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .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",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\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-d514b15e-150b-4bb1-9b2b-1c7573f1341b 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-d514b15e-150b-4bb1-9b2b-1c7573f1341b');\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",
+              "\n",
+              "\n",
+              "<div id=\"df-4b48cb53-81a7-460e-821b-1a6149d16385\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4b48cb53-81a7-460e-821b-1a6149d16385')\"\n",
+              "            title=\"Suggest charts\"\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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+              "    <g>\n",
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+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-4b48cb53-81a7-460e-821b-1a6149d16385 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "  <div id=\"id_324b8c32-a8a1-46a3-b199-4f66f545d982\">\n",
+              "    <style>\n",
+              "      .colab-df-generate {\n",
+              "        background-color: #E8F0FE;\n",
+              "        border: none;\n",
+              "        border-radius: 50%;\n",
+              "        cursor: pointer;\n",
+              "        display: none;\n",
+              "        fill: #1967D2;\n",
+              "        height: 32px;\n",
+              "        padding: 0 0 0 0;\n",
+              "        width: 32px;\n",
+              "      }\n",
+              "\n",
+              "      .colab-df-generate: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-generate {\n",
+              "        background-color: #3B4455;\n",
+              "        fill: #D2E3FC;\n",
+              "      }\n",
+              "\n",
+              "      [theme=dark] .colab-df-generate: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",
+              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('resultsinDataFrame')\"\n",
+              "            title=\"Generate code using this dataframe.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "       width=\"24px\">\n",
+              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "    <script>\n",
+              "      (() => {\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#id_324b8c32-a8a1-46a3-b199-4f66f545d982 button.colab-df-generate');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      buttonEl.onclick = () => {\n",
+              "        google.colab.notebook.generateWithVariable('resultsinDataFrame');\n",
+              "      }\n",
+              "      })();\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "variable_name": "resultsinDataFrame",
+              "summary": "{\n  \"name\": \"resultsinDataFrame\",\n  \"rows\": 276,\n  \"fields\": [\n    {\n      \"column\": \"Left Hand Side\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 62,\n        \"samples\": [\n          \"ground beef\",\n          \"milk\",\n          \"body spray\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Right Hand Side\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 56,\n        \"samples\": [\n          \"avocado\",\n          \"extra dark chocolate\",\n          \"cottage cheese\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Support\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.006651053212295191,\n        \"min\": 0.014285714285714285,\n        \"max\": 0.05714285714285714,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.02857142857142857,\n          0.05714285714285714,\n          0.014285714285714285\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 9
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "yQfSAap7SwQq",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 356
+        },
+        "outputId": "34ae68e0-a5cf-486e-b1a9-387a555af3a2"
+      },
+      "source": [
+        "resultsinDataFrame.nlargest(n = 10, columns = 'Support')"
+      ],
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "       Left Hand Side Right Hand Side   Support\n",
+              "146        fresh tuna   mineral water  0.057143\n",
+              "186       ground beef   mineral water  0.057143\n",
+              "29         body spray       green tea  0.042857\n",
+              "149        fresh tuna       spaghetti  0.042857\n",
+              "182         green tea            soup  0.042857\n",
+              "236  whole wheat rice   mineral water  0.042857\n",
+              "249             pasta          shrimp  0.042857\n",
+              "261            salmon       spaghetti  0.042857\n",
+              "24          black tea          salmon  0.028571\n",
+              "33         body spray        pancakes  0.028571"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-f9fc72ab-afaf-4d03-83ff-2a027ef8bea5\" 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>Left Hand Side</th>\n",
+              "      <th>Right Hand Side</th>\n",
+              "      <th>Support</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>146</th>\n",
+              "      <td>fresh tuna</td>\n",
+              "      <td>mineral water</td>\n",
+              "      <td>0.057143</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>186</th>\n",
+              "      <td>ground beef</td>\n",
+              "      <td>mineral water</td>\n",
+              "      <td>0.057143</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>29</th>\n",
+              "      <td>body spray</td>\n",
+              "      <td>green tea</td>\n",
+              "      <td>0.042857</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>149</th>\n",
+              "      <td>fresh tuna</td>\n",
+              "      <td>spaghetti</td>\n",
+              "      <td>0.042857</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>182</th>\n",
+              "      <td>green tea</td>\n",
+              "      <td>soup</td>\n",
+              "      <td>0.042857</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>236</th>\n",
+              "      <td>whole wheat rice</td>\n",
+              "      <td>mineral water</td>\n",
+              "      <td>0.042857</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>249</th>\n",
+              "      <td>pasta</td>\n",
+              "      <td>shrimp</td>\n",
+              "      <td>0.042857</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>261</th>\n",
+              "      <td>salmon</td>\n",
+              "      <td>spaghetti</td>\n",
+              "      <td>0.042857</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>black tea</td>\n",
+              "      <td>salmon</td>\n",
+              "      <td>0.028571</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>33</th>\n",
+              "      <td>body spray</td>\n",
+              "      <td>pancakes</td>\n",
+              "      <td>0.028571</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f9fc72ab-afaf-4d03-83ff-2a027ef8bea5')\"\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 -960 960 960\">\n",
+              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .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",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\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-f9fc72ab-afaf-4d03-83ff-2a027ef8bea5 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-f9fc72ab-afaf-4d03-83ff-2a027ef8bea5');\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",
+              "\n",
+              "\n",
+              "<div id=\"df-7fdd3a67-2622-4e9d-b1f2-c2e3ce031ccd\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7fdd3a67-2622-4e9d-b1f2-c2e3ce031ccd')\"\n",
+              "            title=\"Suggest charts\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-7fdd3a67-2622-4e9d-b1f2-c2e3ce031ccd button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "dataframe",
+              "summary": "{\n  \"name\": \"resultsinDataFrame\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"Left Hand Side\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"ground beef\",\n          \"pasta\",\n          \"fresh tuna\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Right Hand Side\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"mineral water\",\n          \"green tea\",\n          \"salmon\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Support\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.009523809523809525,\n        \"min\": 0.02857142857142857,\n        \"max\": 0.05714285714285714,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.05714285714285714,\n          0.04285714285714286,\n          0.02857142857142857\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 10
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file